Hydrogen Fuelling Station Market Trends & Forecast
As per Knowledge Sourcing Intelligence (KSI) latest report, the hydrogen fuelling station market is expected to grow at a CAGR of 14.62%, reaching a market size of US$2,549.399 million in 2030 from US$1,288.650 million in 2025.
The hydrogen fuelling station market is driven by increasing adoption of fuel cell electric vehicles, government initiatives, shift toward cleaner energy sources, and technological advancements. In 2024, around 125 new hydrogen refuelling stations were opened worldwide, 42 in Europe, around 30 in China, 25 in South Korea, 8 in Japan, and 13 in North America. According to the h2stations.org, around 1,160 hydrogen refuelling stations were in operation worldwide at the end of 2024, which is an increase compared to the previous year.
New countries with hydrogen refuelling stations in operation are New Zealand, Bulgaria and Slovakia. In Europe, 113 fuelling stations were in Germany, followed by France in second place with 65 refuelling stations, followed by the Netherlands with 25, and Switzerland with 19. Europe had 294 hydrogen refuelling stations. Besides, in January 2025, HRS and Enowa, the energy and water subsidiary of NEOM, installed their first hydrogen refueling station in NEOM, Saudi Arabia’s sustainable region. The partnership, announced by HRS in June 2024, aimed to develop a zero-emission public transport system.
Further, government support is boosting market growth, such as, in March 2025, as part of the National Green Hydrogen Mission, the Government initiated five pilot projects for using Hydrogen in buses and trucks. The Ministry of New and Renewable Energy sanctioned five pilot projects consisting total of 37 vehicles, including buses and trucks, and 9 hydrogen refueling stations. The vehicles that would be deployed for the trial include 15 hydrogen fuel cell-based vehicles and 22 hydrogen internal combustion engine-based vehicles. The government is supporting the commercially viable technologies for the utilization of hydrogen in the transport sector as fuel in buses and trucks, and supporting infrastructure like Hydrogen refueling stations.
Hydrogen produced from renewable energies plays a key role in achieving global climate targets. At hannover messe 2024, Bosch Rexroth presented drive systems for compressors and cryopumps developed together with manufacturers and operators from Europe and the USA for the economical operation of hydrogen filling stations with short refueling times. This new technology Bosch Rexroth is developed customized solutions for an economical hydrogen infrastructure. The aim is to refuel Heavy Goods Vehicles with 100 kg of hydrogen in less than 10 minutes. The new technology combines servohydraulic pump drives, software, and a newly developed compression cylinder.
Hydrogen Fuelling Station Market Report Highlights
By type, the hydrogen fuelling station market is segmented into mobile hydrogen fuelling stations and fixed hydrogen fuelling stations. Naturgy is promoting sustainable mobility by building its first 38 hydrogen fuel stations in Spain. The total infrastructure to be developed during the second stage will come to 120 hydrogen fuel stations, distributed throughout Spanish territory in 2021.
By fuel type, the hydrogen fuelling station market is segmented into liquid hydrogen and gaseous hydrogen. In January 2025, HRS announced an agreement with Toyota Motor Europe and ENGIE to develop a next-generation hydrogen refueling system. This new solution, Twin Mid Flow (TMF) Technology, for faster refueling and more cost-efficient. This collaboration cements HRS’s position as the driving force in hydrogen refueling.
Asia Pacific will be the fastest-growing market during the forecast period, driven by huge population, growing demand for the alternative fuels, urbanisation and investment in countries like China and India.
North America is anticipated to see considerable growth, fueled by a continuous rise in consumer demands, technology and demand for alternative fuels.
Hydrogen Fuelling Station Market Segmentation
Knowledge Sourcing Intelligence has segmented the hydrogen fuelling station market based on type, fuel type, end user, and region:
Hydrogen Fuelling Station Market, By Type
Mobile Hydrogen Fuelling Stations
Fixed Hydrogen Fueling Stations
Hydrogen Fuelling Station Market, By Fuel Type
Liquid Hydrogen
Gaseous Hydrogen
Hydrogen Fuelling Station Market, By End User
Automotive
Energy & Power
Aerospace
Others
Hydrogen Fuelling Station Market, By Region
North America
U.S.
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
UK
Germany
France
Spain
Others
Middle East and Africa (MEA)
Saudi Arabia
UAE
Others
Asia Pacific
China
Japan
South Korea
Australia
India
Indonesia
Thailand
Others
Hydrogen Fuelling Station Market Key Players
Air Liquide
Linde PLC
Air Products and Chemicals, Inc.
Nel ASA
MAXIMATOR Hydrogen GmbH
Hydrogen Refueling Solutions
McPhy Energy S.A.
Iwatani Corporation
Ingersoll Rand
Chart Industries
Report Coverage:
Report Metric
Details
Growth Rate
CAGR of 14.62%
Study Period
2020 to 2030
Historical Data
2020 to 2023
Base Year
2024
Forecast Period
2025 – 2030
Forecast Unit (Value)
USD Million
Segmentation
Type, Fuel Type, End-User, Geography
Geographical Segmentation
North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the Hydrogen Fuelling Station Market
Air Liquide, Linde PLC, Air Products and Chemicals, Inc., Nel ASA, MAXIMATOR Hydrogen GmbH
Customization Scope
Free report customization with purchase
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/07/Hydrogen-Fuelling-Station-Market.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-07-11 12:25:442025-07-11 12:28:46Hydrogen Fuelling Station Market expected to reach US$2,549.399 million by 2030
Artificial intelligence (AI) use at every value chain stage is changing the global retail industry dramatically. Starting with supply chain optimization and customer personalization to fraud detection and real-time inventory and finances, AI is changing the game of retail brands by managing the operational, competitive, and growth levels of the businesses.
As per Knowledge Sourcing Intelligence (KSI) latest report, the AI in the Retail Market will increase by a CAGR of 37.88%, achieving a US$134.040 billion market size by 2030 against US$26.900 billion in 2025. Consequently, the best retailers are spending a lot on efforts to acquire an AI-based edge.
Key Drivers Accelerating AI Adoption in Retail:
Increased consumer personalization and real-time expectations
Move toward omnichannel retailing and orchestration of the customer journey using AIs
Automation, forecasting of demand, and smart logistics
New sales channels produced by voice commerce, AI chatbots, and virtual assistants
Inventory and waste smartness in improving sustainability
Top 10 Retail Brands Leading the AI Transformation
1. Amazon
Amazon is a leader in AI-powered retail, and its systems run on machine learning to enable personalised suggestions, dynamic pricing, robotics in warehouses, and voice shopping via Alexa. Its platform comprises the AI (SageMaker), implemented internally, and third-party applications. A cashier-less Amazon Go store is based on AI that tracks the products in real-time and facilitates simple checkout. The company has remained ahead in the innovation of AI and is investing in natural language processing, predictive analytics, and cloud-based AI services.
In addition, the total revenue was up year-over-year (YoY) by 11% reaching the levels of $638 billion compared to the previous year of 2015, which was 575 billion. In terms of business segment, North America revenue increased by 10 percent from 387 billion to 353 billion. The international revenue rose by 9 percent, or by 12 billion dollars, i.e., to 143 billion dollars. It is observed that AWS revenue increased by 19%, and this has grown to 108 billion compared to 91 billion a year ago. To get the magnitude of this growth, 10 years ago, AWS made only 4.6 billion in revenue, whereas the total income of Amazon at that time was 89 billion.
2. Walmart
Walmart has become a strong AI innovator, using it for demand forecasting, smart inventory management, route optimization, and cashier-less checkout solutions. Its Intelligent Retail Lab (IRL) combines real-time shelf monitoring and computer vision to improve stocking and availability. The AI also contributes to sustainability through Walmart since the system forecasts the shelf life of perishable items in order to prevent wastage. For instance, in October 2024, Walmart presented its approach to developing Adaptive Retail, which was a concept of the new generation of retailing, based on highly personal experiences and responses, corresponding to the specific requirements of how and where customers want to shop.
Under this vision, Walmart demonstrated its application of the most advanced technologies, such as proprietary Artificial Intelligence (AI), Generative AI (GenAI), Augmented Reality (AR), and Immersive Commerce platforms. These innovations are designed to deliver hyper-personalized, seamless, and interactive shopping experiences across Walmart stores, Sam’s Clubs, mobile apps, and emerging virtual environments. These initiatives establish Walmart as a leader in making AI accessible for value retail.
3. Alibaba Group
Alibaba is transforming the future of smart retailing through the Hema supermarkets and Tmall platform and its AI-based shopping experiences. The use of AI is popular in analyzing the behavior of customers, facial recognition technology, payment systems, smart warehouses, and product suggestions. Alibaba Group has announced that it will invest no less than RMB 380 billion (US$53 billion) over three years to improve its cloud computing and AI infrastructure, one of the biggest investments Alibaba has made so far as part of a long-term innovation strategy. This expenditure surpasses the total amount of money that the firm has spent on AI and cloud in the past 10 years, which indicates that Alibaba is fully committed to the utilization of AI in its growth and has placed itself firmly as one of the cloud technology leaders in the global market.
In addition, Alibaba has an in-house research and development lab named DAMO Academy that invests in AI technologies and develops solutions that can be used in the company’s e-commerce ecosystem, including machine learning and computer vision endeavors.
4. Target
Target records US$106,566 million of net sales in 2024. The company applies AI in its assortment planning, pricing optimization, and customer retention plans. The aid of AI tools enables Target to refine product suggestions and local inventorying policies based on shopping behavior. Its security systems detect fraud in real-time and ensure efficiency and security in any transaction. The retailer also considers AI-based solutions in logistics and supply chain management.
5. Sephora
Sephora is leading beauty retail innovation with AI-driven tools like Virtual Artist, which lets customers try on makeup virtually using augmented reality. AI enhances its mobile app and website by providing product suggestions based on skin tone, preferences, and buying history. Sephora’s AI-supported chatbot answers customer queries and improves shopping experiences both online and in-store.
6. Nike
Nike uses AI to boost personalization, product innovation, and supply chain flexibility. The company applies predictive analytics for demand forecasting and trend analysis. Its SNKRS app employs AI to recommend product launches based on user interests, while Nike Fit scans users’ feet to suggest the right shoe size. Sustainability is promoted as well since AI allows optimizing production and cutting waste.
Moreover, Nike also applies artificial intelligence (AI) to its activities, which can increase cybersecurity and privacy threats, including the possibility of using or misusing AI tools without permission.
7. Zara (Inditex)
Inditex reported that from 2023 to 2024, Zara’s sales have grown 7.1% and gross profit has increased 7.2% (Inditex, 2024). These results continue to grow year to year as more advanced technology strategies are implemented into various processes within the company. Throughout the fashion industry, the limits of businesses and operations have been restructured based on the features AI offers that enhance the economy.
Zara has also recruited Jetlore, a consumer behavior prediction platform, for their AI initiatives. Jetlore’s resources have helped Zara build a consumer behavior map to make production decisions (Epifano & Nikolopoulos, 2023). Implementing these technologies and services helps Zara to design and produce products that customers desire. The benefits of AI technology increase Zara’s ability to anticipate and capitalize on predicted customer demand, increasing sales.
Zara further applies AI for trend forecasting, automated inventory management, and data-driven design. Zara is quick to adapt to the new fashion trend by analyzing customer feedback and market information. It also uses AI in its logistics sector, where it is able to track its stocks in real-time, which ensures fast replenishment and reduction in overstocking. These systems are beneficial to Zara as the company keeps a reputation as a fashion-forward outfit that employs a speedy retail model.
8. Best Buy
Best Buy uses AI to optimize pricing, improve product recommendations, and provide proactive customer support. AI powers its predictive maintenance services for tech products, and in-store analytics inform merchandising strategies. Virtual agents and chatbots enhance customer interaction, and AI-based fraud detection increases security across digital transactions.
9. H&M
H&M employs AI for dynamic inventory allocation and demand prediction at the store level. The retailer uses data science to improve garment design, cut overproduction, and support sustainable practices. AI algorithms forecast which styles will be popular, helping the brand reduce waste and better match production with demand.
10. The Home Depot
The Home Depot integrates AI into its e-commerce and supply chain systems. Project planning tools on its website help customers choose products and estimate costs. AI supports inventory management and real-time product availability in stores. Home Depot’s search engine and recommendation systems use machine learning, enhancing the user experience.
AI Trends That Will Shape Retail in the Next Five Years
1. Hyper-Personalization Will Redefine Customer Loyalty
AI enables an in-time individualization on the basis of behavioral, contextual, and transactional data. Brands that offer product recommendations and predictive products, preferred product promotions, and automation through AI-based curated collections will establish a better sense of customer loyalty and higher conversion. The concept of personalizing customers is shifting towards algorithms that will be learning AI systems, which will evolve with consumer behavior.
2. AI-Driven Supply Chains Will Become the Backbone of Efficiency
Retailers have been eyeing AI to anticipate demand, automate replenishment, streamline the supply path, and reduce lead times. The assistance of AI logistics allows the business to foresee disturbances and react swiftly to the modifications that appear in the market. This has the effect of improving margins, reducing waste, and accelerating fulfillment within the competitive market.
3. Ethical AI and Responsible Retail Will Drive Brand Trust
Transparency, data privacy, and ethical use will become a mandatory necessity as the use of AI grows. Consumers are more aware of how their data is handled, making responsible AI deployment a key part of retail strategy. Retailers must adopt ethical AI frameworks, perform regular audits, and ensure inclusivity and fairness in their decision-making processes.
Strategic Imperatives for Retailers Investing in AI
Invest in Omnichannel AI Capabilities: Unify customer journeys across digital and physical touchpoints using AI insights and automation.
Build AI-First Product & Service Models: Redesign retail offerings to include AI-based personalization, recommendations, and fulfillment.
Strengthen AI Talent and Partnerships: Collaborate with AI startups, tech companies, and cloud providers to develop next-generation retail solutions.
Prioritize Responsible AI Practices: Implement frameworks for ethical AI use, data protection, and minimizing bias to build long-term trust.
The Future of AI in Retail
The future of retail rests on AI, whether it is inventory intelligence and intelligent merchandising, virtual try-on, or conversational commerce. Those retailers who accept the change with imagination and nimbleness will be able to unleash tremendous growth, customer delight, and operational perfection.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/07/AI-In-Retail-Market.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-07-11 10:53:522025-07-11 11:26:07Top 10 Retail Brands Leading the AI Transformation
As per Knowledge Sourcing Intelligence (KSI) latest report, the AI in Fashion Market is expected to grow at a CAGR of 42.72% from USD 2.5 billion in 2025 to USD 14.8 billion by 2030.
AI in Fashion Market Highlights:
Personalized Shopping: AI enhances customer experiences with tailored recommendations and virtual try-ons.
Supply Chain Optimization: AI streamlines operations, reducing costs and improving efficiency.
Trend Forecasting: AI analyzes data to predict fashion trends and innovate designs.
North American Leadership: Strong AI investments and tech giants drive market growth.
The effective use of Artificial Intelligence (AI) is revolutionizing fashion brands, which is being driven by the consumer demand for personalization, sustainability, and efficiency. With the US fashion market at the forefront, the adoption of AI technologies is accelerating, which is further being fueled by a tech-savvy consumer base, a robust technological infrastructure, followed by significant investments from both public and private sectors.
The incorporation of AI is one of the significant factors influencing the growth of several segments of the fashion business. AI technology boosts client satisfaction and loyalty via personalized shopping experiences using data analysis. AR & AI Virtual Try-On and Fitting Room solutions enhance the customer shopping experience, reducing return times and ensuring a high level of certainty. The industry will continue to benefit from supply chain optimization, dynamic pricing, fraud detection, trend research, and new product innovation, focusing on sustainability. These initiatives will help address rapidly changing customer expectations by improving secure transactions and operational efficiency. The fashion market is a fluid environment that also improves standards, although the introduction of AI has a broader impact on driving this industry.
The Booming US AI in Fashion Market: A Snapshot of Growth
According to the USCC data of April 2023, it is anticipated that more people will be shopping online and being influenced in their buying decisions by social media. By 2022, the fast fashion business was expected to account for $106.4 billion in revenue.
Using a centralized and fast-moving supply chain and leveraging the search histories of consumers on its app, Shein is taking major market share in the United States, competing with rivals such as Zara and H&M, according to the same source. Other fashion-related Chinese businesses are taking an interest in this AI business model.
Governmental investments in the AI-based technology sector witnessed major growth within the past few years, especially in countries like the USA, UK, India, Canada, and Japan. The UK Government introduced AI Tech Missions Funds, under which the government allotted about GBP 110 million, whereas about GBP 900 million was allotted for AI Research Resources.
Some of the major market players operating are Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Intelistyle, Stylumia Intelligence Technology Pvt. Ltd., LALALAND, True Fit Corporation, Stitch Fix, Inc., ZMO.AI, Zalando SE, Neural Fashion AI, and Resleeve, among others.
The Increasing Popularity of AI in the Fashion Industry
The adoption of AI is expected in fashion, with more picky customers seeking unique style preferences and experiences. AI-led recommendations, influencer inspiration, and customizable products are driving a growing proportion of this shift. Rather than thinking about a one-size-fits-all, current times focus more on the individual. As such, consumer demands lean towards personalization, and brands respond by adopting innovative technologies. It demonstrates a significant shift in how people connect with the industry they engage with, and also deeply offers their input for advancements through data insights.
In addition, Mango, one of Europe’s top fashion companies, is pushing the boundaries for its digital transformation with the introduction of Lisa. Lisa is an in-house conversational generative AI platform that was introduced in October 2023. In under nine months, the fashion company developed its conversational generative AI platform that uses a spectrum of models Lisa works with, some proprietary and others open-source. This new platform is built on the backbone of Mango’s tailored interface, similar to ChatGPT, and is intended for use by its partners and workforce.
Increasing Global Ownership of Smartphones
The major factor propelling artificial intelligence (AI) in the fashion market’s growth is the increasing ownership of smartphones worldwide. With the increasing ownership of smartphones, consumer accessibility to the fashion sector is increasing rapidly. The global smartphone ownership witnessed a major growth, with about 4.3 billion individuals, or about 54% of the total global population owning smartphones, as stated by the GSMA.
In the fashion sector, various global retailers introduced AI-based try-on features that enable the consumer to try clothes and accessories virtually, increasing the demand for AI in the fashion industry. Smartphones also enhance the customer experience and feature data-driven insight into the latest trends.
Virtual Try-Ons and Immersive Experiences: Redefining Retail
The combination of AI with virtual reality (VR) and augmented reality (AR) is revolutionizing the retailing experience in the US AI in Fashion market. Computer vision and machine learning-based virtual try-on solutions enable customers to see how clothing or makeup would appear prior to actual purchase.
In June 2023, Google launched an AI-driven virtual try-on for women’s tops, allowing customers to view how clothing falls and fits on various models.
The US AI in the Fashion industry is also witnessing an increase in AI-based photorealistic visuals for marketing and design. These technologies allow US companies to develop immersive, interactive experiences that endear them to consumers, further affirming the United States’ position at the forefront of embracing innovative retail technologies.
Trend Forecasting and Design Innovation: Staying Ahead of the Curve
Integrating AI technologies within fashion design, where deep design plays a major role, is changing how fashion is conceived, produced, and marketed. Some of the changes are taking their cue from technological developments, others from changing consumer preferences, and others from investments that stakeholders are making into the business.
Moreover, as AI was introduced in the industry, governments worldwide established regulations and policies for its ethical usage, protection of data, and consumer protection.
The General Data Protection Regulation by the European Union holds any processing of data very seriously, defining clear protocols for them on how exactly they collect and use consumer information through AI.
The United States Federal Trade Commission issued guidelines on the use of AI in business operations, urging transparency and fairness. Although government statistics on AI adoption in fashion are sparse, the augmented regulatory focus denotes its increasing importance in the industry.
Fashion brands and tech companies with their AI Drive Technologies
Shein uses artificial intelligence to dynamically make changes to its supply chain and consumer demand. Up to 600,000 listings for a global market are sold. Using this AI reduced unnecessary inventory and costs associated with predictions of style and preferences.
In March 2024, Oracle introduced new artificial intelligence (AI) capabilities within Oracle Fusion Cloud Customer Experience (CX) to help marketers, sellers, and service agents accelerate deal cycles.
In September 2023, with the growing interest in AI-powered consumer technologies, Humane Inc. unveiled the complete form factor of its first product, the Humane AI Pin. Before its official release on November 9, the Ai Pin was showcased at Paris Design Week in 2024 as part of a partnership with the design label Coperni. It is a screenless, stand-alone device and software platform made just for AI called the Humane AI Pin. Incorporating a considerable range of sensors, the wearable, made up of intelligent clothing, is designed to integrate with users’ daily routines, thereby allowing for more natural and intuitive computer interactions
In April 2023, the first beta of a fashion assistant powered by ChatGPT, made available on the app and website of Europe’s leading online clothing and leisure goods retailer, Zalando.
In June 2022, Pinterest announced that it had finalized the acquisition of THE YES, an AI-powered fashion purchasing platform that lets users browse a customized feed based on their active input regarding brand, style, and size.
Future Outlook: A Dynamic and Transformative Landscape
Artificial Intelligence (AI) in the fashion industry has played a very significant role in the ongoing trends, along with the increasing transformative era, which is redefining the operations of the fashion brands. From optimizing the supply chains to personalizing the shopping experiences for customers, AI’s role in the sector has set up unprecedented precision and efficiency. As the US remains a global leader in fashion innovation, AI’s role in this sector is expanding rapidly, driven by technological advancements and evolving consumer expectations.
Moreover, with the ongoing increase in online shopping and the collaboration of fashion brands with AI chatbots, users are experiencing efficiency in their shopping experience. In this regard, as per the US Census Bureau, e-commerce now accounts for a considerable percentage of the US apparel sales, which is further expected to increase and grow with the growth of retailers who are ready to invest in AI. One common example is Amazon Fashion’s AI-powered visual search tool, launched in 2024, which allows customers to upload images to find similar products, contributing to its dominance in online fashion retail.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/07/AI-in-Fashion-Market.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-07-10 12:16:572025-07-10 12:36:45AI Revolution: Transforming the US Fashion Industry with Cutting-Edge Innovation
The AI in the customer service market is estimated to attain a market size of US$1,634.989 million by 2030, growing at a 22.94% CAGR from a valuation of US$582.227 million in 2025.
AI in Customer Service Market Key Highlights:
AI enhances customer service with personalized chatbots and virtual assistants.
Cloud-based AI solutions drive real-time, efficient customer support.
North America leads with high AI adoption and e-commerce growth.
Rising global internet access boosts demand for AI-driven customer service.
Factors Boosting AI in the Customer Service Market across different sectors:
Retail: AI analyzes customer preferences and purchase history to offer tailored product recommendations and support, driving sales and loyalty in e-commerce and brick-and-mortar stores.
Finance: AI-powered chatbots and fraud detection systems provide real-time support for transactions while ensuring regulatory compliance, reducing risks, and improving trust.
Healthcare: AI automates appointment scheduling, triage, and follow-up care queries, enabling healthcare providers to manage high patient volumes while maintaining personalized engagement.
Telecommunications: AI predicts and resolves network-related customer complaints proactively, minimizing downtime and improving service reliability across mobile and broadband sectors.
Travel and Hospitality: AI enhances booking processes and provides 24/7 multilingual support for itinerary changes or travel disruptions, improving customer satisfaction in airlines, hotels, and travel platforms.
Technology: AI handles routine technical queries with self-service options, reducing wait times and freeing human agents for complex issues in the SaaS and hardware sectors.
Utilities: AI streamlines billing inquiries and outage reporting, using predictive analytics to anticipate service disruptions, enhancing customer trust in energy and water utilities.
E-Gaming: AI delivers instant in-game support and personalized content recommendations, boosting player retention and monetization in the gaming industry.
Logistics: AI tracks shipments and provides real-time updates to customers, automating query resolution for delivery statuses and improving efficiency in supply chain operations.
Cross-Sector: AI unifies customer interactions across channels, such as chat, email, and social media, and scales support to meet demand spikes, ensuring consistent experiences across all sectors.
Trends and Opportunities for Key Market Players:
Increase in global online retail sales:The increase in global online retail sales is forecasted to boost the demand for AI customer services. In the retail industry, AI customer services offer convenient and quick customer support, enhancing the customer experience. These services also help businesses reduce operating costs and increase customer acquisitions. The US Census Bureau reported that the nation’s e-commerce or online retail sales continually expanded over the past few quarters.
The e-commerce sales in the third quarter of 2023 were recorded at about US$279.739 billion, which increased to US$283.293 billion in the fourth quarter of 2023, finally reaching US$289.204 billion in the first quarter of 2024.
For instance, retail brands in the United States are opting for AI and other emerging solutions to better understand their customers’ preferences and prevent loss. According to the “2023 National Retail Security Survey” conducted by the National Retail Federation and covering 177 US brands, 37% of the respondents are investing in AI-related technologies for fraud detection analytics, while 15% have already started implementing them.
What are the potential growth opportunities for AI in customer service in the retail sector?
Personalized Customer Experiences: AI can analyze large amounts of customer data, such as purchase history, preferences, and browsing behavior, to deliver personalized recommendations and tailored interactions. This results in increasing customer retention and boosting sales.
24/7 Omnichannel Support: AI-powered chatbots and virtual assistants provide round-the-clock support across multiple channels, such as websites, apps, social media, and phone. Using this, retailers can ensure support without additional expenditures, improving customer satisfaction. Advanced natural language processing (NLP) enables seamless transitions between channels, ensuring consistent experiences.
The following companies are catering to this segment’s high-growth:
Salesforce: The company offers generative AI integrated with customer data and CRM to scale customer service, improving efficiency with personalized support and automation. Solutions, such as Einstein GPT and Agentforce, include AI-powered chatbots and predictive analytics for proactive customer engagement.
Microsoft (Azure AI): Microsoft provides AI tools to enhance customer experiences, streamline operations, and boost sales through Azure AI services. Retailers use Azure for chatbots, sentiment analysis, and personalized recommendations.
Amazon Web Services (AWS): Amazon offers AI solutions for retail, including customer service automation and personalization, powering recommendation engines for retailers like Amazon. For instance, AWS Lex and Connect enable conversational AI for chatbots and contact centers.
Rise in the e-commerce sector is boosting AI in the customer service market: AI is transforming customer service in e-commerce by enabling personalized, efficient, and scalable solutions. According to Salesforce, AI-powered chatbots, leveraging advanced natural language processing (NLP), manage routine inquiries like order tracking and returns, reducing response times by up to 80%. Virtual assistants, such as AWS Lex, provide 24/7 omnichannel support across websites, apps, and social platforms, ensuring seamless customer experiences. Predictive analytics, integrated into platforms like IBM Watson, anticipate challenges like delayed shipments and proactively engage customers, boosting customer retention by 5-10%.
With the rising need for personalization, AI analyzes browsing and purchase data to deliver tailored recommendations, increasing conversion rates. Voice AI, like Amazon Alexa integrations, supports voice commerce, while sentiment analysis tools monitor customer feedback in real-time, refining service quality. AI also enhances fraud detection during support interactions, strengthening trust.
According to a report by Tidio, 70% of customers demand instant responses, which is easily solved by AI services regardless of the time. AI reduces support costs by 20-30% through automation. E-commerce also generates large datasets, fueling AI-driven insights and ensuring personalized recommendations that drive brand loyalty. All these factors ensure a steady market growth.
What are the potential growth opportunities for AI in customer service in the e-commerce sector?
Enhanced Fraud Detection: AI identifies and prevents fraudulent activities during support interactions. Strengthened security fosters trust, encouraging repeat purchases and reducing financial losses.
Automation of High-Volume Inquiries: AI is used to handle repetitive tasks, such as checking order status and returns, reducing support costs by 20-30%, as per Tidio. E-commerce firms can redirect human agents to complex queries, enhancing first-contact resolution rates and reducing churn.
The companies listed below continue to innovate and launch products for this sector:
Amazon: This e-commerce giant continues to lead with generative AI tools, such as Rufus, a conversational AI assistant launched in 2024, enhancing product discovery and customer support on its platform.
Shopify: Shopify’s Sidekick, an AI-powered assistant, was enhanced in 2025 to provide real-time customer support and generate product descriptions, streamlining merchant-customer interactions. Shopify’s focus on empowering small-to-medium e-commerce businesses with AI tools drives widespread adoption.
Increased Technological Advancements in North America Propel Market Expansion:
North America, led by the United States, is a mature and technologically advanced region in the customer service industry. It has a higher adoption of AI-based customer support and has the presence of key outsourcing companies.
The United States region is expected to have a considerable market share. The United States is one of the major AI-adopting countries. With the continuous trend of mechanical progressions and advancements over different industry verticals, the necessity for AI service solutions such as chatbots, generative AI, and virtual assistance is additionally anticipated to provide positive expansion. Major divisions such as banking, retail, and healthcare are expected to witness noteworthy growth in AI adoption, further bolstered by continuous ventures to drive the digitization of various industrial businesses.
Besides, digital client engagement is on the rise in the United States, accelerated by the increasing tech-savvy population. According to Verint’s “2023 State of Digital Customer Experience” report, in which more than 2,000 surveys across the US were conducted to determine customers’ preferences for brand engagement, 53% of the respondents aged 18 to 44 preferred digital channels, and 47% preferred phones. Such high engagement has motivated companies to adopt a much wider customer-centric approach to providing a seamless customer experience.
Additionally, the USA is the hub for technological innovations, and favorable investment in artificial intelligence has provided new growth prospects for such technology. Various US-based AI providers are investing in launches and innovations. For instance, in August 2023, Freshworks Inc. launched its AI-powered “Customer Service Suite” that integrates agent-led conversational messaging, automated ticketing management, and self-service bots.
The Following Companies are advancing the Developments through Strategic Collaborations and Product Launches:
In March 2025, Deloitte Digital formed a collaboration with NICE to transform their customer service by offering end-to-end AI solutions designed to provide more proactive customer interactions.
In February 2025, IBM introduced new AI Integration Services to assist enterprises in creating and scaling AI agents.
In June 2024, Target released plans to establish a new GenAI device called Store Companion for its store team members by August 2024. Their GenAI-powered chatbot assists by replying to on-the-job handling questions, coaching new team members, and supporting store operations management. The objective is to simplify the teams’ jobs, permitting them to work more effectively, offer quicker service, and upgrade the shopping experience by improving visitor engagement.
The Strategic Actions for Industry Leaders in AI in Customer Service:
Integrating AI-driven recommendation engines to personalize support and boost conversions.
Deploying 24/7 AI chatbots for seamless omnichannel customer support.
Automating repetitive inquiries to reduce costs and optimize resource allocation.
Leveraging predictive analytics for proactive engagement to enhance customer retention.
The AI in the customer service market offers immense potential, and companies must adopt these strategic imperatives to drive transformation and seize competitive advantages.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/06/AI-in-Customer-Service-Market.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-06-24 12:44:402025-06-26 05:22:28Artificial Intelligence (AI) Transforming Customer Support
As per Knowledge Sourcing Intelligence (KSI) latest report, the recycled plastic resins market is projected to grow at a CAGR of 6.98% to reach a market size of US$78.023 billion by 2030 from US$55.691 billion in 2025.
The emphasis on circular economy practices has created opportunities for the recycled plastic resins market growth, as materials are reused and recycled, which is boosting the adoption of recycled resins across different industries. In March 2024, Veolia and partners delved into the circular economy with a new plant to recycle plastics for food-grade applications in Japan. The plant could produce 25,000 tons of food-grade recycled PET resin per year, reducing 27,500 tons of CO2 emissions.
Introduction of Veolia’s know-how in Japan to improve the processing of low-grade used PET bottles. This accounts for more than 50% of the volumes generated in Japan of food-grade recycled PET resin. This plant meets brand owners’ increasing demand for the circular economy. Veolia is the world leader in recycled plastic, with 500,000 metric tons of plastic recycled by 2023.
In line with this, in 2022, recyclers in the United States recovered over five billion pounds of post-consumer plastic for recycling. Of this, 93.7% was acquired by North American reclaimers, while overseas exports declined to 6.3%. Despite a 1.4% decrease in total volumes recovered, equivalent to 71.2 million pounds, U.S. reclaimers increased their acquisition of domestically sourced post-consumer plastic by 21.4 million pounds compared to 2021, reaching a total of 4,307.8 million pounds, which accounted for 85.9% of the total recovered plastic.
Investments in chemical recycling can unlock new applications for recycled resins. In September 2024, PET REFINE TECHNOLOGY CO., LTD. (JEPLAN Group) announced the brand name “HELIX” for its recycled PET resin, produced with proprietary PET chemical recycling technology. In line with its announcement, PET REFINE TECHNOLOGY launched a website introducing products of major Japanese beverage and cosmetics companies that adopted the recycled PET resin HELIX. The company is looking into further domestic and global expansion of the recycled material adopted by major Japanese beverage and cosmetics companies.
Further, in June 2024, Dow announced the development and launch of its innovative REVOLOOP Recycled Plastics Resins. By 2030, Dow aimed to transform the Waste and commercialize three million metric tons of circular and renewable solutions annually. For achieving this, Dow expanded its efforts to advance sustainable packaging. Two new grades of REVOLOOP Plastics Resins are launched and are approved for non-food contact packaging applications. One contains 100% post-consumer recycled, and the second one is a formulated grade that contains up to 85% PCR derived from household waste.
By end-user, the recycled plastic resins market is segmented into packaging, automotive, construction, electronics, and others. The packaging industry is a notable share of recycled plastic resins, driven by the demand for environmentally conscious packaging solutions. Further, in January 2025, PureCycle Technologies, Inc. announced the sale of 500,000 pounds of resin to Drake Extrusion Inc. This would be used for production of continuous filament yarns, which could be used to make items such as rugs, upholstery, and apparel.
Asia Pacific will be the fastest-growing market during the forecast period, driven by huge population, industrialization and urbanization and investment in countries like China and India.
North America is anticipated to see considerable growth, fueled by a continuous rise in demand, the plastics recycling industry’s total annual economic impact in the U.S. Is $6 billion the plastics recycling industry directly and indirectly offers nearly 30,000 jobs in the United States. Containers from food, beverages, and household products are a large part of the recycled plastics in the residential sector in the U.S. Further, the APR PCR Certification Program provides stronger accountability and transparency to prepare companies for requirements on recycled plastic resin for laws across North America.
Recycled Plastic Resins Market Segmentation
Knowledge Sourcing Intelligence has segmented the recycled plastic resins market based on product type, process, end-user, and region:
Recycled Plastic Resins Market, By Type
Polyethylene Terephthalate (PET)
High-Density Polyethylene (HDPE)
Polypropylene (PP)
Others
Recycled Plastic Resins Market, By Process
Mechanical Recycling
Chemical Recycling
Others
Recycled Plastic Resins Market, By End-User
Packaging
Automotive
Construction
Electronics
Others
Recycled Plastic Resins Market, By Region
North America
U.S.
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
UK
Germany
France
Spain
Others
Middle East and Africa (MEA)
Saudi Arabia
UAE
Others
Asia Pacific
China
Japan
India
South Korea
Taiwan
Others
Recycled Plastic Resins Market Key Players
Veolia
Suez
Waste Management Inc.
Republic Services
DS Smith
Biffa
Clean Harbors
Sims Metal Management
Remondis
Covanta
Report Coverage:
Report Metric
Details
Growth Rate
CAGR of 6.98%
Study Period
2020 to 2030
Historical Data
2020 to 2023
Base Year
2024
Forecast Period
2025 – 2030
Forecast Unit (Value)
USD Billion
Segmentation
Type, Process, End-User, Geography
Geographical Segmentation
North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the Recycled Plastic Resins Market
Veolia, Suez, Waste Management Inc., Republic Services, DS Smith
Customization Scope
Free report customization with purchase
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
AI technology is advancing at an unprecedented rate, which is being driven by breakthroughs in different fields such as machine learning, natural language processing, as well as in data analytics.
The exponential AI technological adoption not only presents opportunities but also challenges, as AI over time has evolved into a disruptive force that is reshaping industries.
AI adoption is driven by two main factors:
Exponential technological growth
Linear increase in companies adopting AI in their operation
As per the report published by Knowledge Sourcing Intelligence, the Global AI Solutions Market, which is valued at USD 450.070 billion in 2025 and is expected to grow at a CAGR of 31.81% to reach the market size of USD 1,790.700 billion by 2030, is a major growth driver due to several reasons:
It drives exponential AI adoption in the top countries by fueling demand for advanced software, hardware, and services.
It supports infrastructure investments, GPU requirements for LLMs, and sector-specific innovations, accelerating growth in healthcare, finance, and manufacturing applications.
1. United States
The United States remains the global AI powerhouse, driven by its advanced IT ecosystem and massive investments. As per the U.S. Department of State (.gov), the United States is efficiently working to ensure the development of AI technologies along with their effective use as a force for good, helping to make Americans and people around the world safer, more secure, and more prosperous.
IT Infrastructure: The US is continuously investing in its AI infrastructure for the maintenance of its global leadership in AI development. Furthermore, it is becoming efficient in hosting the world’s largest cloud infrastructure, with AWS, Microsoft Azure, and Google Cloud as its leading global markets.
Data Centers: The country accounts for 3775 data centers, which are listed from 51 states nationwide, out of which California accounts for 312 data centers, followed by Texas with 351, Virginia with 579, and more.
Dominates GPU supply for AI model training across enterprises with full-stack innovation across accelerated infrastructure, enterprise-grade software, and AI models.
Advances in AI for scientific discovery (e.g., Grok) with the approach towards rapid development and iteration.
Startups
The country launched 2 startups, such as Scale AI, which is responsible for delivering high-quality training data for AI applications, as well as Anthropic, which is an AI safety and research company.
AI Executive Order (2023) promotes ethical AI development, ensuring responsible innovation.
Demand for AI Engineers: According to the US Bureau of Labor Statistics, computer and information research scientists, a category that includes AI engineers, are expected to jump 32% in data science jobs and 26% more computer and information research scientist by 2032, which will be much faster than the average for all occupations.
Future Outlook: The U.S. will maintain AI leadership, focusing on ethical frameworks and sustainable practices to address energy and regulatory challenges.
2. China
China’s state-driven AI strategy positions it as a global contender, with massive scale and ambition.
As per the World Economic Forum, the Next Generation AI Development Plan, which was launched in 2017 in China aimed to set ambitious goals to position AI as a core driver of the economic transformation in the year 2025 and now has further plans of establishing the country as a global hub for AI innovation by 2030.
Future Outlook: China in the future is expected to shift its focus to a self-reliant AI ecosystem through the expansion of smart city initiatives and autonomous technologies.
3. India
India’s AI adoption is fueled by its tech talent and digital economy.
Data Centers: India’s data center industry is expected to experience significant growth, which will be driven by the rapid adoption of cloud computing along with the increasing demand for data storage across tech-enabled industries. A report by JLL India, which is a real estate consultancy, projected a 66% increase in the country’s data center capacity between the second half of 2024 and 2026.
Future Outlook: AI growth in India will be driven by healthcare diagnostics, education, precision agriculture, and many more.
4. Japan
In February 2025, the Japanese Government announced its plan of positioning Japan as the most AI-friendly country in the world while having a cautious approach towards the adoption of AI, which stems from a broader cultural norm.
Data Centers: Japan consists of a total of 186 data centers from 18 markets, with the highest coming from Tokyo (88 data centers), followed by Osaka with 48, and more.
On May 28th, 2025, Japan enacted a landmark legislation by approving the Bill on Promoting Research, Development and Utilization of Artificial Intelligence-related Technologies (AI Law).
Demand for AI Engineers: With a shortage of AI professionals, Japan is moving forward with reskilling programs through Universities and corporate training, which will meet the growing demand for AI expertise.
Future Outlook: Japan will effectively use Artificial Intelligence in its elderly care, autonomous mobility, and smart manufacturing.
5. Germany
Germany is on the path to becoming a European leader in AI adoption, with consulting and business services leading the way internationally.
IT Infrastructure: Germany’s Industry 4.0 ecosystem is efficiently integrating advanced automation, cloud computing, and IoT through the seamless deployment of AI across smart cities and logistics.
The company leverages AI for industrial automation with the effective optimization of manufacturing processes with digital twins and predictive maintenance.
SAP
SAP is integrating AI into its ERP systems, which will be essential in enhancing business analytics and supply chain efficiency.
Startups
Startups like Celonis lead in process mining, streamlining enterprise operations with AI-driven insights.
GPU Requirements: In Germany, there is a growing need for GPUs in industrial AI applications.
Demand for AI Engineers: With the booming AI market, the country is offering many career prospects to engineers in different economic sectors, especially in the field of research and development (R&D).
Future Outlook: In the case of Industrial AI and green technology, Germany is expected to lead with its expansion of applications in smart manufacturing, sustainable logistics, and renewable energy to meet the global demands.
6. United Kingdom
The United Kingdom is quickly positioning itself as an important adopter and developer of AI, especially in Europe. It is using its powerful research institutions, favorable government policies, spreading investments of the private sector to speed up the development and implementation of AI.
IT Infrastructure: The UK has one of the most developed digital infrastructures in Europe, which makes it easy to deploy AI technologies in the UK. The centres of AI research and development are major cities like London, Manchester, and Edinburgh. The Digital Infrastructure Strategy formulated by the UK government expects to empower the emergence of cloud computing, 5G, and AI.
In 2022, investor engagement in digital infrastructure in the market sector was estimated at 9.2 billion pounds, although based on the current, tighter approach, the estimate is £1.2 billion. Government capital grants funded 3.3% (£304 million) of all market sector investment in digital infrastructure in 2022.
A major digital infrastructure programme, Project Gigabit, recently began in the United Kingdom. A total of £1.2 billion of public funding has been committed for 2020 to 2025, to help deliver gigabit-capable broadband to 85% of the UK by 2025, and 100% by 2030. £434 million has been spent up to 2022, with a further £736 million planned from 2023 to 2025.
Investments in Infra: The UK has huge and increasing investments in Artificial Intelligence R&D and other AI core infrastructure. In 2024, CoreWeave invested 1 billion pounds to increase its presence in the United Kingdom and stated that its new European head office was to be in London. Moreover, OpenAI has made London its first international office. In 2023, Microsoft invested 2.5 billion in the expansion of AI data centre infrastructure in the UK. As of May 2024, the UK accounted for roughly 50% of all private capital investment in AI in Europe.
Data Centers: The United Kingdom data center colocation market is anticipated to grow at a CAGR of 15.63%, as per Knowledge Sourcing Intelligence. Additionally, the Government’s estimate of GB’s data centre capacity, defined as the maximum rated IT load of colocation data centres, is broken down by region in a table below.
Region
IT Power
North East
17
North West
52
Yorkshire and the Humber
16
East Midlands
9
West Midlands
15
East
44
London
1,048
South East
128
South West
53
Wales
154
Scotland
30
Companies and Solutions:
Company
Solution Area
Details
Stability AI
Generative AI
Known for developing open-source generative models like Stable Diffusion.
Graphcore
AI Hardware
Designs IPUs (Intelligent Processing Units) tailored for AI workloads.
Faculty AI
Applied AI
Provides AI solutions for public and private sectors, including defense, energy, and healthcare.
GPU Requirements: The UK AI industry is increasingly dependent on advanced GPUs, such as NVIDIA’s A100 and H100 chips.
Government Policies:
Regulation/ Policy
Year
Description
AI Regulation White Paper
2023
Proposes a pro-innovation framework for regulating AI, avoiding blanket laws. Focuses on sector-specific approaches.
Frontier AI Taskforce
2023
Established to ensure the safe development of general-purpose AI.
National AI Strategy
2021
A 10-year plan focusing on AI research, skills, and international collaboration.
Demand for AI Engineers: The United Kingdom is the world leader in the AI industry with over 3,000 AI companies, annual revenues exceeding 10 billion, over 60,000 employees working in AI-related jobs, and Gross Value Added (GVA) of 5.8 billion, according to the Government of the United Kingdom.
Future Outlook: The UK aims to lead safe, ethical, and sovereign AI development while fostering global collaboration and innovation.
7. South Korea
In Asia, South Korea is emerging as a global player in the field of AI due to its ICT infrastructure and a well-developed semiconductor industry, coupled with government support. The country is integrating AI into key sectors such as manufacturing, robotics, healthcare, and education to future-proof its economy and remain technologically competitive.
IT Infrastructure: South Korea has earned a reputation as a leading global information and communication technology center. With its cutting-edge ICT infrastructure boasting the world’s fastest internet speeds and tech-savvy customers, the country is home to globally leading electronics and IT companies such as Samsung Electronics, SK Hynix, and LG Electronics. Korea is motivated to keep its reputation as a global ICT powerhouse by investing heavily in innovative technologies such as advanced semiconductors, next-generation networks, Artificial Intelligence, big data, quantum computing, and cybersecurity.
Investments in Infra: According to a survey from the International Data Corporation (IDC) in 2022, the country’s spending on AI reached $824 million in 2021. IDC also forecasted that the spending would grow at a CAGR of 15 percent, reaching $1.6 billion by the end of 2025.
Data Centers: Global cloud service providers such as Amazon Web Services, Microsoft, and Google have led the cloud computing market in Korea. To further increase their market share, global players have accelerated investments in Korea, building new data centers on the peninsula.
Companies and Solutions:
Company
Solution Area
Details
Samsung SDS
AI Infrastructure & Smart Tech
Provides AI-powered solutions for manufacturing, healthcare, and logistics.
LG AI Research
Multimodal AI
Works on fusion AI (MOM project) and brain-inspired computing for industrial applications.
GPU Requirements: South Korea has initiated public-private GPU sharing platforms to support startups and researchers.
Government Policies:
Regulation/ Policy
Year
Description
AI Ethics Standards
2021
Introduced guidelines for responsible AI use, fairness, transparency, and accountability.
Digital New Deal
2020
Allocates ₩58 trillion (~USD 48B) over 5 years for AI, data economy, and smart government
Targets becoming a Top 3 AI nation by 2030, focusing on education, R&D, and infrastructure.
Demand for AI Engineers: MSIT is planning to allocate approximately KRW 15 billion to host the Global AI Challenge, an international competition designed to identify and nurture innovative AI talent.
Future Outlook: South Korea aims to become a top global AI nation by 2030 by focusing on deep tech innovation, sovereign AI infrastructure, and integration of AI into all industrial sectors.
8. Canada
Canada is rising to the challenge of becoming a global leader in ethical and inclusive artificial intelligence with competitive research facilities, generous state structures, and a vibrant startup community.
IT Infrastructure: The ICT sector makes a significant contribution to Canada’s GDP. In 2023, the sector’s GDP reached $125.5 billion. This amount represents 5.7% of national GDP, which continues the trend of the sector taking a larger share of the national GDP.
Investments in Infra: The government is investing up to $700 million to support the Canadian AI ecosystem through increased domestic AI compute capacity that leverages Canada’s natural competitive advantages in energy, land, and climate.
Data Centers: As of 2024, about 239 data centers were operating in Canada, and the industry is growing quickly. Data centers and their data transmission networks use a significant amount of energy. According to the International Energy Agency (IEA), in 2022, they consumed around 460 terawatt-hours (TWh) worldwide, which is roughly 1.4 to 1.7% of global electricity use.
Companies and Solutions:
Company
Solution Area
Details
Cohere
Generative AI & NLP
Toronto-based firm developing large language models for enterprise and multilingual use.
MindBridge AI
AI for Finance & Audit
Uses machine learning to detect financial anomalies and support auditing processes.
GPU Requirements: Canada’s AI community relies heavily on NVIDIA A100/H100 and AMD MI300-class GPUs to power research in NLP, healthcare diagnostics, and autonomous systems.
Government Policies:
Regulation/ Policy
Year
Description
Pan-Canadian AI Strategy
2017, renewed 2022
Focuses on R&D, ethics, talent, and commercialization
Artificial Intelligence and Data Act (AIDA)
Drafted 2022
Part of Bill C-27 sets guidelines for high-impact AI systems and responsible use.
Demand for AI Engineers: Canada is actively training AI talent through AI-specific graduate programs, scholarships, and industry-academia partnerships.
Future Outlook: Canada aims to lead in ethical, inclusive, and human-centric AI by strengthening R&D, expanding AI infrastructure, and scaling innovation across sectors.
9. France
France is positioning itself as a leading force in European AI through strong political commitment, effective public-private collaboration, and strategic investments in research, infrastructure, and regulatory frameworks. The nation aims at developing sovereignty in the AI sector, ethical governance, and competitiveness in the industry, especially in the defense industry, transport, financial, and healthcare sectors.
IT Infrastructure: The total market size of France’s digital market in 2023 is estimated to be 66 billion euros and is expected to reach 70.5 billion euros in 2024.
Investments in Infra: France is committed to becoming a global leader in technological and industrial innovation, reflecting its proactive stance on advancing its digital economy. Through initiatives like France 2030, which consists of a €54 billion investment to boost key sectors and foster emerging technologies, alongside other strategic investments, the country is focusing on digital security and nurturing startups. With 92.6% internet penetration and robust growth in digital engagement, France is poised to enhance its industrial capabilities and secure a competitive edge in the global digital landscape.
Data Centers: Major global cloud providers, including AWS, Google Cloud, Microsoft Azure, and IBM, have established data centers in France to support compliance with EU data protection laws.
Companies and Solutions:
Company
Solution Area
Details
Mistral AI
Generative AI & LLMs
France’s leading open-weight LLM startup, focused on European AI sovereignty.
Thales
Defense & AI Cybersecurity
Integrates AI in defense, aerospace, and critical infrastructure.
GPU Requirements: The government is encouraging domestic GPU and AI accelerator production as part of broader digital sovereignty efforts.
Government Policies:
Regulation/ Policy
Year
Description
European AI Act (compliance)
Ongoing
France is shaping and aligning with the EU’s AI Act, focusing on risk-based AI regulation.
Digital Sovereignty Initiative
Ongoing
Aims to reduce dependency on foreign cloud and AI providers by supporting French tech infrastructure.
Demand for AI Engineers: Institutions like INRIA, Polytechnique, and Sorbonne University are major contributors to AI R&D and workforce development.
Future Outlook: France aims to become Europe’s AI innovation hub by prioritizing ethical governance, industrial competitiveness, and technological sovereignty.
10. Singapore
Singapore has been strategically positioning itself as an ideal hub in terms of AI in South East Asia, largely due to its advanced digital infrastructure, aggressive government strategies, and connections all around the world. Focusing heavily on the role of the partnership between the government and the private sector, digital sovereignty, and ethical AI, the state is deploying artificial intelligence in the spheres of finance, logistics, healthcare, urban planning, and national security.
IT Infrastructure: Singapore is ranked first in the world for global connectedness. SEA’s digital economy is projected to grow to US$1 trillion by 2030.
Investments in Infra: The government of Singapore has invested about S$3.3 billion in ICT in the fiscal year 2024 so as to enhance its digital infrastructure and cybersecurity. A sum of S$2.1 billion and above is allocated specifically to the modernization of infrastructure, an increase in FY23 of S$1.3 billion. The strategy is also proposing easier compliance and procurement models. It entails simplified security needs of low-risk systems and continuous dynamic contracting models, as well as the enhancement of public-private cooperation and performance of delivery outcomes.
Data Centers: Singapore expects around US$7.5 billion (S$10 billion) to US$9 billion (S$12 billion) in new data center investments over the next ten years. Keppel Corp, a state-backed company, is developing new data centers that are more energy efficient. Moreover, they are planning to export these centers to other major data center hubs.
Companies and Solutions:
Company
Solution Area
Details
VflowTech
AI for Energy Optimization
Applies AI to optimize flow battery systems and energy storage.
SenseTime Singapore
Computer Vision & Smart Cities
A Chinese AI company with regional operations focused on surveillance and retail.
GPU Requirements: Growing demand for NVIDIA A100, H100, and alternative AI accelerators is driving collaboration with hardware and cloud vendors.
Government Policies:
Regulation/ Policy
Year
Description
Digital Economy Agreements
Ongoing
Bilateral/multilateral pacts with countries like the UK, Australia, and South Korea for cross-border AI and data collaboration.
Model AI Governance Framework
2020, updated 2022
Offers detailed guidance for responsible and transparent AI use; adopted by the World Economic Forum.
Demand for AI Engineers: The growth in AI talent hiring in Singapore rose faster than overall hiring by 14 per cent in 2022.
Future Outlook: Singapore aims to be Asia’s AI launchpad by scaling national compute, exporting AI governance frameworks, and embedding AI into all layers of its smart nation agenda.
Authors Bio:
Lavannya Malhotra and Anjali Mishra are Market Research Analysts specializing in technology trends, with a focus on emerging technologies, who contribute data-driven insights to global tech publications. Together, they have delivered a comprehensive analysis of AI adoption and market dynamics.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/06/exponential-AI-adoption.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-06-20 13:25:242025-06-20 13:48:19Top 10 Countries Witnessing Exponential AI Adoption
The artificial intelligence revolution in elderly care is gaining unprecedented momentum, with industry experts and companies reporting transformative changes across the sector. The AI-Powered Solutions For Elderly Care Market is predicted to reach USD 5.646 billion by 2030 at a high 31.90% CAGR, signaling massive investment and adoption in this critical healthcare segment.
Industry Growth and Future Outlook
This explosive growth is driven by several converging factors: an aging global population, rising healthcare costs, and breakthrough technological advancements that make AI solutions more accessible and effective.
According to Knowledege Sourcing Intelligence (KSI) analysts, there is a growing shortage of staff to provide nursing care, creating an urgent need for artificial intelligence to offer sustainable solutions and assuage the care situation. This staffing crisis has accelerated the adoption of AI technologies across elderly care facilities worldwide.
Revolutionizing Senior Care: Top AI Technologies in Action
The are several Cutting-Edge AI applications enhancing elderly wellbeing:
Predictive Health Analytics: Predictive analytics in AI has significant potential for large scale adoption in elderly care. The solutions can enable accurate and proactive assessment of risks such as falls, infections, and medication-related issues.
Smart Monitoring and Fall Prevention: The incorporation of sensors capable of detecting movement patterns can alert care staff to potential falls. Furthermore, nutrition planning software can create meal plans based on health data and assist in diet plans. These systems are already being adopted by the companies and are assisting in preventing injuries and improving quality of life for senior citizens.
AI-Powered Robotics: The integration of AI with robotics is creating new possibilities for physical assistance. AI will allow more robots to take real-time decisions, whether in assisting with lifts, wheelchair transport, meal delivery, housekeeping/maintenance or driving, significantly reducing reliance on scarce human resources.
Personalized Care Management: The integration of AI into highly personalized and supportive wellness programs is revolutionizing elderly care by delivering tailored health, emotional, and lifestyle interventions aimed at enhancing quality of life and independence. These programs leverage AI’s ability to analyze individual data and provide customized support, aligning with the growing demand for holistic, senior-centric care solutions.
Pioneering Solutions and Thought Leadership
Leading technology companies are making significant strides in AI solutions aimed at providing better elderly care. ElliQ 3, the latest iteration from Intuition Robotics, upgraded the hardware and leveraged generative AI and LLMs to enhance its conversational skills, providing companionship and assistance to elderly users. The AI should be bridging the gap between the technologies and should be a positive disruption for the easy acceptance by reluctant users.
Operational Efficiency: The amalgamation of AI into the existing solutions has enhanced the workflows. It is helping the care providers in efficient cost savings while enabling proper care for the elderly population.
Workforce Management: The AI is also helping in shortlisting the candidates with the right skillset. This recruitment lead times are reduced and better set of people are entering the workforce with the right skillset aimed at providing best possible care to elderly.
Addressing Industry Challenges and Risks
Even though the acceptance of these solutions has been rising, the challenges remain which are being mitigated with improving solutions. Some of these pain points of the industry are as below:
Data Security and Privacy: The enforcement of robust privacy policies has become imperative as companies try to tinker with more data in AI environment. The vulnerabilities with respect to data leaks, cyberattacks and theft must be addressed, so that the development of solutions maintains the momentum.
Accuracy and Reliability: The greatest risk is deployment of the technology prior to it evolving to a level of acceptable safety. AI systems can make errors, and in healthcare settings, these mistakes can have serious consequences. The hallucination of AI models remains a significant risk for individuals as well as care providers.
Maintaining Human Connection: Relying completely on AI for providing care to seniors has its own limitations. The current fast paced environment, dual working households and living distant from families, is making seniors to rely more on human interaction for better care. An appropriate humane touch with the technology can boost the overall dynamics of the care setting.
Future Outlook and Implementation Strategies
AI adoption should be strategic and gradual. A thoughtful AI adoption strategy that addresses the current challenges is essential for successful implementation. The solutions should not be shipped just for the revenue maximization but should be capable of addressing core concerns of all the stakeholders.
The transformation is already underway, with elderly care technology revolutionizing home health care through AI, smart homes, and robotics. As the market continues its rapid expansion, the focus remains on enhancing care quality while addressing the critical staffing shortages facing the industry.
The future of elderly care is being reshaped by AI, promising more personalized, efficient, and effective care for the aging population. Success will depend on balancing technological innovation with the human touch that remains at the heart of quality senior care.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/06/ai-elderly-care.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-06-17 10:38:102025-06-17 10:59:14Next-Gen Elderly Care: How AI is Driving Industry Transformation
The global specialty chemicals industry stands at a pivotal juncture, experiencing unprecedented transformation that is reshaping manufacturing, agriculture, and consumer goods production. As industries demand higher performance, sustainability, and cost-effectiveness, specialty chemicals are becoming the foundation of modern industrial processes. A robust 4.92% CAGR, reaching $1.067 trillion by 2030, businesses are investing in these advanced chemical solutions at an accelerated pace.
The following factors are propelling the specialty chemicals demand across different sectors:
Expansion of personal care and burgeoning cosmetics applications
Integration of bio-based alternatives for sustainable chemical production
A growing demand for agrochemical solutions while addressing global food security challenges
The huge infrastructure investments by Asian countries, which in turn is driving the specialty chemical consumption
The huge production and adoption of electric vehicles has augmented the demand for specialty chemicals
The surge in Pharmaceutical industry continues to expand the demand for specialty chemicals
Advanced materials development for electronics and high-tech industries are other complementing factors
Focus on sustainability has to led to formulation of strict environmental regulations which is driving innovation in eco-friendly formulations
The advent of digital transformation has also enabled precision chemical manufacturing and boosting the demand for these chemicals
Trends and opportunities for key market players:
Increasing Demand for Personal Care Products Is Accelerating Specialty Chemical Demand
The fusion of consumer lifestyle changes with specialty chemical innovations is revolutionizing the personal care industry. For e.g. European cosmetics market alone reached €96 billion in retail sales in 2023, with 500 million consumers driving demand for advanced chemical formulations. Industry experts predict that personal care applications will become the fastest-growing segment, with India’s market expected to cross more than $20 billion by 2025 at a high 22% CAGR.
What are the potential growth opportunities for specialty chemicals in the personal care products sector?
Advanced Cosmetic Formulations: Specialty chemicals are enabling breakthrough innovations in antiperspirants, fragrances, makeup, shampoos, sunscreens, and skincare products with enhanced performance characteristics.
E-commerce Platform Integration: Digital retail expansion is driving demand for specialized chemical solutions that maintain product stability and performance across diverse distribution channels.
Following companies are catering to this high growth segment:
BASF SE: Leading innovation in cosmetic ingredient development and sustainable beauty solutions.
Evonik: Specializing in high-performance personal care additives and active ingredients.
Mitsubishi Chemical Corporation: Advancing specialty chemical applications in global beauty markets.
Agrochemical Innovation Is Transforming Food Security Solutions
The intersection of global population growth and agricultural productivity demands is driving unprecedented innovation in specialty chemicals for agriculture. With global population projected to reach 9.7 billion by 2050, the agrochemical sector is experiencing significant growth, with fertilizer production reaching more than 180 million tonnes in 2022, creating substantial opportunities for specialty chemical companies.
What are the potential growth opportunities for specialty chemicals in the agrochemicals sector?
Sustainable Fertilizer Technologies: Bio-based and organic specialty chemicals are meeting the growing demand for environmentally responsible agricultural solutions.
Precision Agriculture Applications: Advanced chemical formulations are enabling targeted nutrient delivery and crop protection systems for optimized agricultural productivity.
The companies listed below continue to innovate and launch products for this sector:
PPG Industries: Developing advanced coatings and chemical solutions for agricultural equipment and applications.
ALTANA: Innovating in bio-based specialty chemicals for sustainable agriculture.
Arkema Group: Creating high-performance agrochemical solutions for global food production.
Asia-Pacific Infrastructure Boom Is Driving Market Expansion
The rapid infrastructure development across Asia-Pacific is creating unprecedented demand for specialty chemicals in construction, automotive, and industrial applications. India’s infrastructure investment increased by 11.1% to $133.86 billion, while China’s Belt and Road Initiative continues driving regional development, creating massive opportunities for specialty chemical suppliers.
The region presents significant growth opportunities for the key market players with some of the trends listed as below:
Construction Chemical Solutions: Advanced additives for concrete, coatings, and building materials are meeting the demands of large-scale infrastructure projects.
Automotive Industry Transformation: Electric vehicle production growth from 61.5 million to 68 million units globally is driving demand for specialized battery chemicals and advanced materials.
Following Companies are advancing the developments through strategic initiatives:
3M: Providing innovative specialty chemical solutions for construction and infrastructure development.
Toray Industries: Leading advanced materials and specialty chemicals for automotive and construction applications.
Lanxess: Developing high-performance chemical solutions for Asia-Pacific infrastructure projects.
Critical Insights & Strategic Actions for Industry Leaders
The specialty chemicals market is undergoing huge transformation and will witness robust growth and innovation. Some of the strategies which players focus on:
Investing in Personal Care Innovation: Develop advanced formulations for the rapidly expanding global beauty and personal care markets.
Prioritize Sustainable Solutions: Integrate bio-based alternatives and environmentally responsible manufacturing processes to meet regulatory requirements and consumer demands.
Capitalize on Asia-Pacific Growth: Establish strategic partnerships and production capabilities in high-growth markets to capture infrastructure and industrial development opportunities.
The specialty chemicals industry offers immense potential, and companies must adopt these strategic imperatives to drive transformation and seize competitive advantages.
Author: Knowledge Sourcing Intelligence (KSI) consulting team
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/06/specialty-chemicals-market.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-06-16 14:18:512025-06-17 10:56:46Transforming Industrial Chemistry: The Strategies Driving Specialty Chemicals Innovation in 2025
As per Knowledge Sourcing Intelligence (KSI) latest report, the lentil protein market is projected to grow at a CAGR of 4.70% to reach a market size of US$190.394 million by 2030 from US$151.363 million in 2025.
Rising demand for plant-based proteins and growing demand for consumer preference for sustainable, ethical, and types of protein are driving the market for lentil protein. In March 2022, Louis Dreyfus Company B.V. announced that they are entering into the new plant proteins business as part of its commitment to helping shape a strong and sustainable food system. They announced a new R&D facility dedicated to their plant proteins business in the San Francisco Bay Area, California, US. As part of their strategic growth plans to move further downstream and diversify revenue through the rapidly-growing plant-based foods market through plant protein extraction and food & beverage applications.
Further, water lentil protein contains the highest level of Essential Amino Acids and Branched-Chain Amino Acids of all plant proteins. Its amino acid profile is comparable to animal proteins like whey and egg. These are perfect ingredients to make products more nutritious and boost the protein content. Rubisco Foods is a Dutch company that produces and develops innovative plant-based food and feed ingredients, with a specialisation in the production of water lentil and alfalfa protein powders. They specialize in protein ingredients that are non-GMO and allergen-free. In April 2023, EFSA (European Food Safety Authority) confirmed that the protein concentrate that Rubisco Foods extracts from water lentils is food-safe.
In February 2025, the European Food Safety Authority (EFSA) officially approved water lentils, also known as duckweed, for production and consumption as fresh vegetables in the EU. Water lentils are high in vitamins and minerals and have a high protein content at dry weight. In addition, their exponential growth means they produce very high yields per hectare, so cultivation requires relatively little space.
ATURA offers in the food and beverage industry to sustainably meet the demand for protein-rich, plant-origin diets backed by science. There red lentil protein, 55% (Lens esculenta), is a natural high protein source, produced to the highest standards. The product has a pulse flavour and is made with a gentle process to ensure great product quality. In April 2024, the company completed the UK site expansion with £20m. With the final stage of the Deltagen UK site expansion completed, ATURA’s range of plant-based proteins will expand for customers and the strategic direction of the business.
Lentil protein market, by form, is divided into concentrates, hydrolysates, and isolates. The concentrates are used in bars, snacks, and baked goods, thus high in demand for the application in innovative food items. The hydrolysates are used for sports functional products and gym enthusiasts, the key driver of the growing demand for health development goals.
Lentil protein market, by type, is divided into organic and inorganic. The organic segment is growing significantly as the rising consumer awareness about seeking clean-label products. Inorganic types are generally more affordable than organic options, making them accessible to a broader market.
By application, the lentil protein market is segmented into animal feed, food and beverages, pharmaceuticals, and nutraceuticals. The growing demand for meat products across the different regions of the world is driving the demand for better-quality lentil protein for the feed for cattle, pigs, and poultry to enhance the protein content in the cattle industry. The food and beverage sector is one of the largest consumers of lentil protein, driven by the growing demand for clean-label foods and vegan movements.
Asia Pacific will be the fastest-growing market during the forecast period, driven by huge population, urbanization, and investment in countries like China and India.
North America is anticipated to see considerable growth, fueled by a continuous rise in consumer demands, and growing demand for the vegan protein substitutes and rising demand for the health products.
Lentil Protein Market Segmentation
Knowledge Sourcing Intelligence has segmented the global Lentil protein market based on form, type, and application, and region:
Lentil protein market, By Form
Concentrates
Hydrolysates
Isolates
Lentil protein market, By Type
Organic
Inorganic
Lentil protein market, By Application
Animal Feed
Food and Beverages
Pharmaceuticals
Nutraceutical
Lentil Protein Market, By Region
North America
U.S.
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
Spain
UK
France
Italy
Others
Middle East and Africa (MEA)
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
Japan
India
South Korea
Thailand
Taiwan
Others
Lentil Protein Market Key Players
AGT Food and Ingredients
Batory Foods
Milhão Alimentos
Cargill, Inc.
Parabel USA Inc.
Henry Broch Foods.
Ingredion Inc.
BI Nutraceuticals: Inc
Biorefinery Solutions
Report Coverage:
Report Metric
Details
Growth Rate
CAGR of 4.70%
Study Period
2020 to 2030
Historical Data
2020 to 2023
Base Year
2024
Forecast Period
2025 – 2030
Forecast Unit (Value)
USD Million
Segmentation
Form, Type, Application, Geography
Geographical Segmentation
North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in Lentil Protein Market
Cronos Group Inc., Prenatal S.p.A, Cardinal Gates, Inc., Dorel Industries Inc., Summer Infant (USA), Inc.
Customization Scope
Free report customization with purchase
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
https://www.knowledge-sourcing.com/resources/wp-content/uploads/2025/06/lentil-protein-market.webp5191000Gaurav Singhhttps://www.knowledge-sourcing.com/resources/wp-content/uploads/2023/02/Printable-Resolution-big-300x78.pngGaurav Singh2025-06-16 11:56:172025-06-16 12:10:14Lentil Protein Market expected to reach US$190.394 million by 2030
As per Knowledge Sourcing Intelligence (KSI) latest report, the olive oil market is projected to grow at a CAGR of 8.08% to reach a market size of US$19.049 billion by 2030 from US$12.914 billion in 2025.
The olive oil market is growing in demand due to the increasing prevalence of health-related diseases globally, which is contributing to consumers adopting healthy eating. Further, the high content of healthy monounsaturated fats and abundant antioxidants in olive oil is increasing its popularity among consumers.
Further, the rising environmental consciousness among consumers is also driving the demand for sustainable methods for the production of olive oil. This is contributing to companies implementing sustainable production process, which decreases ecological footprints aligning with the sustainability trend globally. The increased use of olive oil in gourmet and international food cuisines is rising among consumers seeking high-quality oil for an authentic culinary experience. This will contribute to increased demand for specialized variety and premium olive oil, leading to its growth during the forecasted period.
The virgin oil segment is estimated to attain greater market share by 2030 in the product type segment. The segment is experiencing growth due to a higher preference for natural products among consumers. It consists of high-quality antioxidants and healthy fats, which contribute to health benefits such as heart health, inflammatory-reducing attributes, and potential advantage for weight management along with brain health. The growing awareness of this segment, along with the healthy eating trend, is also leading to its growth.
The physical/mechanical segment is predicted to dominate the production segment in the market due to its benefit of producing high-quality olive oil with minimum processing. The increasing demand from consumers toward naturally produced products that preserve all their health benefits is driving the physical or mechanical production segment growth. This process works in retaining the aroma and natural flavor of the olive oil with its nutritional properties, which is comparatively better than the chemical process.
The offline segment is the major segment in the distribution channel of the global olive oil market because it consists of infrastructure like hypermarkets, supermarkets, and convenience stores, which have a dominant market presence for olive oil distribution. Further, consumer preference to shop near and with availability of wider brands product to choose from which are budget friendly is also contributing to the growing supermarket and hypermarket preference for purchase.
The retail household segment is the fastest-growing segment in the market in the industry segment due to the growing awareness of its benefits among consumers, along with a rising number of people adopting a health-balanced diet. Olive oil health health-associated benefits, like lowering the risk of heart diseases with lower cholesterol levels, are contributing to its increased use in the preparation of meals and in salad dressing, which is contributing to its growth.
North America held the largest global olive oil market share due to growing health concerns, increasing disposable income, and the increasing popularity of Mediterranean cuisine, which is leading to increased demand for olive oil. The increase in consumer consciousness of the health benefits, such as those associated with heart health and anti-inflammatory properties, is contributing to its increased utilization in cooking and bakery preparation.
Olive Oil Market Segmentation:
Knowledge Sourcing Intelligence has segmented the Olive Oil Market based on product type, production, distribution, industry, and region:
Olive Oil Market, By Product Type
Virgin Oil
Refined Oil
Pomace Oil
Olive Oil Market, By Production
Physical/ Mechanical
Chemical
Olive Oil Market, By Distribution
Offline
Supermarkets
Hypermarkets
Others
Online
Olive Oil Market, By Industry
Retail Households
Food and Beverage Industry
HoReCa Industry (Hotels, Restaurants, and Catering)
North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the Olive Oil Market
Avril Group, Albert Heijn, Deoleo, Sovena, Borges
Customization Scope
Free report customization with purchase
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
Hydrogen Fuelling Station Market expected to reach US$2,549.399 million by 2030
Press ReleasesHydrogen Fuelling Station Market Trends & Forecast
The hydrogen fuelling station market is driven by increasing adoption of fuel cell electric vehicles, government initiatives, shift toward cleaner energy sources, and technological advancements. In 2024, around 125 new hydrogen refuelling stations were opened worldwide, 42 in Europe, around 30 in China, 25 in South Korea, 8 in Japan, and 13 in North America. According to the h2stations.org, around 1,160 hydrogen refuelling stations were in operation worldwide at the end of 2024, which is an increase compared to the previous year.
New countries with hydrogen refuelling stations in operation are New Zealand, Bulgaria and Slovakia. In Europe, 113 fuelling stations were in Germany, followed by France in second place with 65 refuelling stations, followed by the Netherlands with 25, and Switzerland with 19. Europe had 294 hydrogen refuelling stations. Besides, in January 2025, HRS and Enowa, the energy and water subsidiary of NEOM, installed their first hydrogen refueling station in NEOM, Saudi Arabia’s sustainable region. The partnership, announced by HRS in June 2024, aimed to develop a zero-emission public transport system.
Further, government support is boosting market growth, such as, in March 2025, as part of the National Green Hydrogen Mission, the Government initiated five pilot projects for using Hydrogen in buses and trucks. The Ministry of New and Renewable Energy sanctioned five pilot projects consisting total of 37 vehicles, including buses and trucks, and 9 hydrogen refueling stations. The vehicles that would be deployed for the trial include 15 hydrogen fuel cell-based vehicles and 22 hydrogen internal combustion engine-based vehicles. The government is supporting the commercially viable technologies for the utilization of hydrogen in the transport sector as fuel in buses and trucks, and supporting infrastructure like Hydrogen refueling stations.
Hydrogen produced from renewable energies plays a key role in achieving global climate targets. At hannover messe 2024, Bosch Rexroth presented drive systems for compressors and cryopumps developed together with manufacturers and operators from Europe and the USA for the economical operation of hydrogen filling stations with short refueling times. This new technology Bosch Rexroth is developed customized solutions for an economical hydrogen infrastructure. The aim is to refuel Heavy Goods Vehicles with 100 kg of hydrogen in less than 10 minutes. The new technology combines servohydraulic pump drives, software, and a newly developed compression cylinder.
➥ View a sample of the report or purchase the complete study at: Hydrogen Fuelling Market Report
Hydrogen Fuelling Station Market Report Highlights
Hydrogen Fuelling Station Market Segmentation
Knowledge Sourcing Intelligence has segmented the hydrogen fuelling station market based on type, fuel type, end user, and region:
Hydrogen Fuelling Station Market, By Type
Hydrogen Fuelling Station Market, By Fuel Type
Hydrogen Fuelling Station Market, By End User
Hydrogen Fuelling Station Market, By Region
Hydrogen Fuelling Station Market Key Players
Report Coverage:
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
Top 10 Retail Brands Leading the AI Transformation
Thought ArticlesRetail at the Forefront of AI Innovation
Artificial intelligence (AI) use at every value chain stage is changing the global retail industry dramatically. Starting with supply chain optimization and customer personalization to fraud detection and real-time inventory and finances, AI is changing the game of retail brands by managing the operational, competitive, and growth levels of the businesses.
As per Knowledge Sourcing Intelligence (KSI) latest report, the AI in the Retail Market will increase by a CAGR of 37.88%, achieving a US$134.040 billion market size by 2030 against US$26.900 billion in 2025. Consequently, the best retailers are spending a lot on efforts to acquire an AI-based edge.
Key Drivers Accelerating AI Adoption in Retail:
Top 10 Retail Brands Leading the AI Transformation
1. Amazon
Amazon is a leader in AI-powered retail, and its systems run on machine learning to enable personalised suggestions, dynamic pricing, robotics in warehouses, and voice shopping via Alexa. Its platform comprises the AI (SageMaker), implemented internally, and third-party applications. A cashier-less Amazon Go store is based on AI that tracks the products in real-time and facilitates simple checkout. The company has remained ahead in the innovation of AI and is investing in natural language processing, predictive analytics, and cloud-based AI services.
In addition, the total revenue was up year-over-year (YoY) by 11% reaching the levels of $638 billion compared to the previous year of 2015, which was 575 billion. In terms of business segment, North America revenue increased by 10 percent from 387 billion to 353 billion. The international revenue rose by 9 percent, or by 12 billion dollars, i.e., to 143 billion dollars. It is observed that AWS revenue increased by 19%, and this has grown to 108 billion compared to 91 billion a year ago. To get the magnitude of this growth, 10 years ago, AWS made only 4.6 billion in revenue, whereas the total income of Amazon at that time was 89 billion.
2. Walmart
Walmart has become a strong AI innovator, using it for demand forecasting, smart inventory management, route optimization, and cashier-less checkout solutions. Its Intelligent Retail Lab (IRL) combines real-time shelf monitoring and computer vision to improve stocking and availability. The AI also contributes to sustainability through Walmart since the system forecasts the shelf life of perishable items in order to prevent wastage. For instance, in October 2024, Walmart presented its approach to developing Adaptive Retail, which was a concept of the new generation of retailing, based on highly personal experiences and responses, corresponding to the specific requirements of how and where customers want to shop.
Under this vision, Walmart demonstrated its application of the most advanced technologies, such as proprietary Artificial Intelligence (AI), Generative AI (GenAI), Augmented Reality (AR), and Immersive Commerce platforms. These innovations are designed to deliver hyper-personalized, seamless, and interactive shopping experiences across Walmart stores, Sam’s Clubs, mobile apps, and emerging virtual environments. These initiatives establish Walmart as a leader in making AI accessible for value retail.
3. Alibaba Group
Alibaba is transforming the future of smart retailing through the Hema supermarkets and Tmall platform and its AI-based shopping experiences. The use of AI is popular in analyzing the behavior of customers, facial recognition technology, payment systems, smart warehouses, and product suggestions. Alibaba Group has announced that it will invest no less than RMB 380 billion (US$53 billion) over three years to improve its cloud computing and AI infrastructure, one of the biggest investments Alibaba has made so far as part of a long-term innovation strategy. This expenditure surpasses the total amount of money that the firm has spent on AI and cloud in the past 10 years, which indicates that Alibaba is fully committed to the utilization of AI in its growth and has placed itself firmly as one of the cloud technology leaders in the global market.
In addition, Alibaba has an in-house research and development lab named DAMO Academy that invests in AI technologies and develops solutions that can be used in the company’s e-commerce ecosystem, including machine learning and computer vision endeavors.
4. Target
Target records US$106,566 million of net sales in 2024. The company applies AI in its assortment planning, pricing optimization, and customer retention plans. The aid of AI tools enables Target to refine product suggestions and local inventorying policies based on shopping behavior. Its security systems detect fraud in real-time and ensure efficiency and security in any transaction. The retailer also considers AI-based solutions in logistics and supply chain management.
5. Sephora
Sephora is leading beauty retail innovation with AI-driven tools like Virtual Artist, which lets customers try on makeup virtually using augmented reality. AI enhances its mobile app and website by providing product suggestions based on skin tone, preferences, and buying history. Sephora’s AI-supported chatbot answers customer queries and improves shopping experiences both online and in-store.
6. Nike
Nike uses AI to boost personalization, product innovation, and supply chain flexibility. The company applies predictive analytics for demand forecasting and trend analysis. Its SNKRS app employs AI to recommend product launches based on user interests, while Nike Fit scans users’ feet to suggest the right shoe size. Sustainability is promoted as well since AI allows optimizing production and cutting waste.
Moreover, Nike also applies artificial intelligence (AI) to its activities, which can increase cybersecurity and privacy threats, including the possibility of using or misusing AI tools without permission.
7. Zara (Inditex)
Inditex reported that from 2023 to 2024, Zara’s sales have grown 7.1% and gross profit has increased 7.2% (Inditex, 2024). These results continue to grow year to year as more advanced technology strategies are implemented into various processes within the company. Throughout the fashion industry, the limits of businesses and operations have been restructured based on the features AI offers that enhance the economy.
Zara has also recruited Jetlore, a consumer behavior prediction platform, for their AI initiatives. Jetlore’s resources have helped Zara build a consumer behavior map to make production decisions (Epifano & Nikolopoulos, 2023). Implementing these technologies and services helps Zara to design and produce products that customers desire. The benefits of AI technology increase Zara’s ability to anticipate and capitalize on predicted customer demand, increasing sales.
Zara further applies AI for trend forecasting, automated inventory management, and data-driven design. Zara is quick to adapt to the new fashion trend by analyzing customer feedback and market information. It also uses AI in its logistics sector, where it is able to track its stocks in real-time, which ensures fast replenishment and reduction in overstocking. These systems are beneficial to Zara as the company keeps a reputation as a fashion-forward outfit that employs a speedy retail model.
8. Best Buy
Best Buy uses AI to optimize pricing, improve product recommendations, and provide proactive customer support. AI powers its predictive maintenance services for tech products, and in-store analytics inform merchandising strategies. Virtual agents and chatbots enhance customer interaction, and AI-based fraud detection increases security across digital transactions.
9. H&M
H&M employs AI for dynamic inventory allocation and demand prediction at the store level. The retailer uses data science to improve garment design, cut overproduction, and support sustainable practices. AI algorithms forecast which styles will be popular, helping the brand reduce waste and better match production with demand.
10. The Home Depot
The Home Depot integrates AI into its e-commerce and supply chain systems. Project planning tools on its website help customers choose products and estimate costs. AI supports inventory management and real-time product availability in stores. Home Depot’s search engine and recommendation systems use machine learning, enhancing the user experience.
AI Trends That Will Shape Retail in the Next Five Years
1. Hyper-Personalization Will Redefine Customer Loyalty
AI enables an in-time individualization on the basis of behavioral, contextual, and transactional data. Brands that offer product recommendations and predictive products, preferred product promotions, and automation through AI-based curated collections will establish a better sense of customer loyalty and higher conversion. The concept of personalizing customers is shifting towards algorithms that will be learning AI systems, which will evolve with consumer behavior.
2. AI-Driven Supply Chains Will Become the Backbone of Efficiency
Retailers have been eyeing AI to anticipate demand, automate replenishment, streamline the supply path, and reduce lead times. The assistance of AI logistics allows the business to foresee disturbances and react swiftly to the modifications that appear in the market. This has the effect of improving margins, reducing waste, and accelerating fulfillment within the competitive market.
3. Ethical AI and Responsible Retail Will Drive Brand Trust
Transparency, data privacy, and ethical use will become a mandatory necessity as the use of AI grows. Consumers are more aware of how their data is handled, making responsible AI deployment a key part of retail strategy. Retailers must adopt ethical AI frameworks, perform regular audits, and ensure inclusivity and fairness in their decision-making processes.
Strategic Imperatives for Retailers Investing in AI
The Future of AI in Retail
The future of retail rests on AI, whether it is inventory intelligence and intelligent merchandising, virtual try-on, or conversational commerce. Those retailers who accept the change with imagination and nimbleness will be able to unleash tremendous growth, customer delight, and operational perfection.
AI Revolution: Transforming the US Fashion Industry with Cutting-Edge Innovation
Thought ArticlesAI in Fashion Market Highlights:
The effective use of Artificial Intelligence (AI) is revolutionizing fashion brands, which is being driven by the consumer demand for personalization, sustainability, and efficiency. With the US fashion market at the forefront, the adoption of AI technologies is accelerating, which is further being fueled by a tech-savvy consumer base, a robust technological infrastructure, followed by significant investments from both public and private sectors.
The incorporation of AI is one of the significant factors influencing the growth of several segments of the fashion business. AI technology boosts client satisfaction and loyalty via personalized shopping experiences using data analysis. AR & AI Virtual Try-On and Fitting Room solutions enhance the customer shopping experience, reducing return times and ensuring a high level of certainty. The industry will continue to benefit from supply chain optimization, dynamic pricing, fraud detection, trend research, and new product innovation, focusing on sustainability. These initiatives will help address rapidly changing customer expectations by improving secure transactions and operational efficiency. The fashion market is a fluid environment that also improves standards, although the introduction of AI has a broader impact on driving this industry.
The Booming US AI in Fashion Market: A Snapshot of Growth
According to the USCC data of April 2023, it is anticipated that more people will be shopping online and being influenced in their buying decisions by social media. By 2022, the fast fashion business was expected to account for $106.4 billion in revenue.
Using a centralized and fast-moving supply chain and leveraging the search histories of consumers on its app, Shein is taking major market share in the United States, competing with rivals such as Zara and H&M, according to the same source. Other fashion-related Chinese businesses are taking an interest in this AI business model.
Governmental investments in the AI-based technology sector witnessed major growth within the past few years, especially in countries like the USA, UK, India, Canada, and Japan. The UK Government introduced AI Tech Missions Funds, under which the government allotted about GBP 110 million, whereas about GBP 900 million was allotted for AI Research Resources.
Some of the major market players operating are Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Intelistyle, Stylumia Intelligence Technology Pvt. Ltd., LALALAND, True Fit Corporation, Stitch Fix, Inc., ZMO.AI, Zalando SE, Neural Fashion AI, and Resleeve, among others.
The Increasing Popularity of AI in the Fashion Industry
The adoption of AI is expected in fashion, with more picky customers seeking unique style preferences and experiences. AI-led recommendations, influencer inspiration, and customizable products are driving a growing proportion of this shift. Rather than thinking about a one-size-fits-all, current times focus more on the individual. As such, consumer demands lean towards personalization, and brands respond by adopting innovative technologies. It demonstrates a significant shift in how people connect with the industry they engage with, and also deeply offers their input for advancements through data insights.
In addition, Mango, one of Europe’s top fashion companies, is pushing the boundaries for its digital transformation with the introduction of Lisa. Lisa is an in-house conversational generative AI platform that was introduced in October 2023. In under nine months, the fashion company developed its conversational generative AI platform that uses a spectrum of models Lisa works with, some proprietary and others open-source. This new platform is built on the backbone of Mango’s tailored interface, similar to ChatGPT, and is intended for use by its partners and workforce.
Increasing Global Ownership of Smartphones
The major factor propelling artificial intelligence (AI) in the fashion market’s growth is the increasing ownership of smartphones worldwide. With the increasing ownership of smartphones, consumer accessibility to the fashion sector is increasing rapidly. The global smartphone ownership witnessed a major growth, with about 4.3 billion individuals, or about 54% of the total global population owning smartphones, as stated by the GSMA.
In the fashion sector, various global retailers introduced AI-based try-on features that enable the consumer to try clothes and accessories virtually, increasing the demand for AI in the fashion industry. Smartphones also enhance the customer experience and feature data-driven insight into the latest trends.
Virtual Try-Ons and Immersive Experiences: Redefining Retail
The combination of AI with virtual reality (VR) and augmented reality (AR) is revolutionizing the retailing experience in the US AI in Fashion market. Computer vision and machine learning-based virtual try-on solutions enable customers to see how clothing or makeup would appear prior to actual purchase.
In June 2023, Google launched an AI-driven virtual try-on for women’s tops, allowing customers to view how clothing falls and fits on various models.
The US AI in the Fashion industry is also witnessing an increase in AI-based photorealistic visuals for marketing and design. These technologies allow US companies to develop immersive, interactive experiences that endear them to consumers, further affirming the United States’ position at the forefront of embracing innovative retail technologies.
Trend Forecasting and Design Innovation: Staying Ahead of the Curve
Integrating AI technologies within fashion design, where deep design plays a major role, is changing how fashion is conceived, produced, and marketed. Some of the changes are taking their cue from technological developments, others from changing consumer preferences, and others from investments that stakeholders are making into the business.
Moreover, as AI was introduced in the industry, governments worldwide established regulations and policies for its ethical usage, protection of data, and consumer protection.
Fashion brands and tech companies with their AI Drive Technologies
Shein uses artificial intelligence to dynamically make changes to its supply chain and consumer demand. Up to 600,000 listings for a global market are sold. Using this AI reduced unnecessary inventory and costs associated with predictions of style and preferences.
Future Outlook: A Dynamic and Transformative Landscape
Artificial Intelligence (AI) in the fashion industry has played a very significant role in the ongoing trends, along with the increasing transformative era, which is redefining the operations of the fashion brands. From optimizing the supply chains to personalizing the shopping experiences for customers, AI’s role in the sector has set up unprecedented precision and efficiency. As the US remains a global leader in fashion innovation, AI’s role in this sector is expanding rapidly, driven by technological advancements and evolving consumer expectations.
Moreover, with the ongoing increase in online shopping and the collaboration of fashion brands with AI chatbots, users are experiencing efficiency in their shopping experience. In this regard, as per the US Census Bureau, e-commerce now accounts for a considerable percentage of the US apparel sales, which is further expected to increase and grow with the growth of retailers who are ready to invest in AI. One common example is Amazon Fashion’s AI-powered visual search tool, launched in 2024, which allows customers to upload images to find similar products, contributing to its dominance in online fashion retail.
Artificial Intelligence (AI) Transforming Customer Support
Thought ArticlesAI in Customer Service Market Size:
The AI in the customer service market is estimated to attain a market size of US$1,634.989 million by 2030, growing at a 22.94% CAGR from a valuation of US$582.227 million in 2025.
AI in Customer Service Market Key Highlights:
Factors Boosting AI in the Customer Service Market across different sectors:
Trends and Opportunities for Key Market Players:
The e-commerce sales in the third quarter of 2023 were recorded at about US$279.739 billion, which increased to US$283.293 billion in the fourth quarter of 2023, finally reaching US$289.204 billion in the first quarter of 2024.
For instance, retail brands in the United States are opting for AI and other emerging solutions to better understand their customers’ preferences and prevent loss. According to the “2023 National Retail Security Survey” conducted by the National Retail Federation and covering 177 US brands, 37% of the respondents are investing in AI-related technologies for fraud detection analytics, while 15% have already started implementing them.
What are the potential growth opportunities for AI in customer service in the retail sector?
The following companies are catering to this segment’s high-growth:
With the rising need for personalization, AI analyzes browsing and purchase data to deliver tailored recommendations, increasing conversion rates. Voice AI, like Amazon Alexa integrations, supports voice commerce, while sentiment analysis tools monitor customer feedback in real-time, refining service quality. AI also enhances fraud detection during support interactions, strengthening trust.
According to a report by Tidio, 70% of customers demand instant responses, which is easily solved by AI services regardless of the time. AI reduces support costs by 20-30% through automation. E-commerce also generates large datasets, fueling AI-driven insights and ensuring personalized recommendations that drive brand loyalty. All these factors ensure a steady market growth.
What are the potential growth opportunities for AI in customer service in the e-commerce sector?
The companies listed below continue to innovate and launch products for this sector:
Increased Technological Advancements in North America Propel Market Expansion:
North America, led by the United States, is a mature and technologically advanced region in the customer service industry. It has a higher adoption of AI-based customer support and has the presence of key outsourcing companies.
The United States region is expected to have a considerable market share. The United States is one of the major AI-adopting countries. With the continuous trend of mechanical progressions and advancements over different industry verticals, the necessity for AI service solutions such as chatbots, generative AI, and virtual assistance is additionally anticipated to provide positive expansion. Major divisions such as banking, retail, and healthcare are expected to witness noteworthy growth in AI adoption, further bolstered by continuous ventures to drive the digitization of various industrial businesses.
Besides, digital client engagement is on the rise in the United States, accelerated by the increasing tech-savvy population. According to Verint’s “2023 State of Digital Customer Experience” report, in which more than 2,000 surveys across the US were conducted to determine customers’ preferences for brand engagement, 53% of the respondents aged 18 to 44 preferred digital channels, and 47% preferred phones. Such high engagement has motivated companies to adopt a much wider customer-centric approach to providing a seamless customer experience.
Additionally, the USA is the hub for technological innovations, and favorable investment in artificial intelligence has provided new growth prospects for such technology. Various US-based AI providers are investing in launches and innovations. For instance, in August 2023, Freshworks Inc. launched its AI-powered “Customer Service Suite” that integrates agent-led conversational messaging, automated ticketing management, and self-service bots.
The Following Companies are advancing the Developments through Strategic Collaborations and Product Launches:
The Strategic Actions for Industry Leaders in AI in Customer Service:
The AI in the customer service market offers immense potential, and companies must adopt these strategic imperatives to drive transformation and seize competitive advantages.
Recycled Plastic Resins Market expected to reach US$78.023 billion by 2030
Press ReleasesRecycled Plastic Resins Market Trends & Forecast
The emphasis on circular economy practices has created opportunities for the recycled plastic resins market growth, as materials are reused and recycled, which is boosting the adoption of recycled resins across different industries. In March 2024, Veolia and partners delved into the circular economy with a new plant to recycle plastics for food-grade applications in Japan. The plant could produce 25,000 tons of food-grade recycled PET resin per year, reducing 27,500 tons of CO2 emissions.
Introduction of Veolia’s know-how in Japan to improve the processing of low-grade used PET bottles. This accounts for more than 50% of the volumes generated in Japan of food-grade recycled PET resin. This plant meets brand owners’ increasing demand for the circular economy. Veolia is the world leader in recycled plastic, with 500,000 metric tons of plastic recycled by 2023.
In line with this, in 2022, recyclers in the United States recovered over five billion pounds of post-consumer plastic for recycling. Of this, 93.7% was acquired by North American reclaimers, while overseas exports declined to 6.3%. Despite a 1.4% decrease in total volumes recovered, equivalent to 71.2 million pounds, U.S. reclaimers increased their acquisition of domestically sourced post-consumer plastic by 21.4 million pounds compared to 2021, reaching a total of 4,307.8 million pounds, which accounted for 85.9% of the total recovered plastic.
Investments in chemical recycling can unlock new applications for recycled resins. In September 2024, PET REFINE TECHNOLOGY CO., LTD. (JEPLAN Group) announced the brand name “HELIX” for its recycled PET resin, produced with proprietary PET chemical recycling technology. In line with its announcement, PET REFINE TECHNOLOGY launched a website introducing products of major Japanese beverage and cosmetics companies that adopted the recycled PET resin HELIX. The company is looking into further domestic and global expansion of the recycled material adopted by major Japanese beverage and cosmetics companies.
Further, in June 2024, Dow announced the development and launch of its innovative REVOLOOP Recycled Plastics Resins. By 2030, Dow aimed to transform the Waste and commercialize three million metric tons of circular and renewable solutions annually. For achieving this, Dow expanded its efforts to advance sustainable packaging. Two new grades of REVOLOOP Plastics Resins are launched and are approved for non-food contact packaging applications. One contains 100% post-consumer recycled, and the second one is a formulated grade that contains up to 85% PCR derived from household waste.
➥ View a sample of the report or purchase the complete study at: Recycled Plastic Resins Market Report
Recycled Plastic Resins Market Report Highlights
Recycled Plastic Resins Market Segmentation
Knowledge Sourcing Intelligence has segmented the recycled plastic resins market based on product type, process, end-user, and region:
Recycled Plastic Resins Market, By Type
Recycled Plastic Resins Market, By Process
Recycled Plastic Resins Market, By End-User
Recycled Plastic Resins Market, By Region
Recycled Plastic Resins Market Key Players
Report Coverage:
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
Top 10 Countries Witnessing Exponential AI Adoption
Thought ArticlesAI at the Vanguard of Global Innovation
AI technology is advancing at an unprecedented rate, which is being driven by breakthroughs in different fields such as machine learning, natural language processing, as well as in data analytics.
The exponential AI technological adoption not only presents opportunities but also challenges, as AI over time has evolved into a disruptive force that is reshaping industries.
AI adoption is driven by two main factors:
As per the report published by Knowledge Sourcing Intelligence, the Global AI Solutions Market, which is valued at USD 450.070 billion in 2025 and is expected to grow at a CAGR of 31.81% to reach the market size of USD 1,790.700 billion by 2030, is a major growth driver due to several reasons:
1. United States
The United States remains the global AI powerhouse, driven by its advanced IT ecosystem and massive investments. As per the U.S. Department of State (.gov), the United States is efficiently working to ensure the development of AI technologies along with their effective use as a force for good, helping to make Americans and people around the world safer, more secure, and more prosperous.
IT Infrastructure: The US is continuously investing in its AI infrastructure for the maintenance of its global leadership in AI development. Furthermore, it is becoming efficient in hosting the world’s largest cloud infrastructure, with AWS, Microsoft Azure, and Google Cloud as its leading global markets.
Investments in Infra: In 2025, the U.S President announced a private sector investment of up to $500 billion, which would be beneficial to fund the infrastructure for artificial intelligence. Concerning this, ChatGPT’s creator, OpenAI, SoftBank, and Oracle are also planning a joint venture called Stargate, which would build data centers and create more than 100,000 jobs in the United States.
Data Centers: The country accounts for 3775 data centers, which are listed from 51 states nationwide, out of which California accounts for 312 data centers, followed by Texas with 351, Virginia with 579, and more.
Companies and Solutions
Government Policies:
Demand for AI Engineers: According to the US Bureau of Labor Statistics, computer and information research scientists, a category that includes AI engineers, are expected to jump 32% in data science jobs and 26% more computer and information research scientist by 2032, which will be much faster than the average for all occupations.
Future Outlook: The U.S. will maintain AI leadership, focusing on ethical frameworks and sustainable practices to address energy and regulatory challenges.
2. China
China’s state-driven AI strategy positions it as a global contender, with massive scale and ambition.
As per the World Intellectual Property Organization (WIPO), China is expected to hold 60% of the world’s AI patents.
IT Infrastructure: The country is said to have the world’s largest 5G network, supporting AI deployment covering over 90% of its urban areas as per the data provided by the State Council, the People’s Republic of China, and the Ministry of Industry and Information Technology.
Investments in Infra: In 2025, China announced a state fund worth 60 billion yuan (US$8.2 billion), which is aimed at early-stage investments in AI projects.
Data Centers: As per AFCEA International, China, as of Mid-2024, had announced its plan of building more than 250 AI data centers across all regions.
Companies and Solutions:
GPU Requirements: The U.S government recently restricted Nvidia from selling its most powerful AI chips, such as A100, H100, and the newly developed H800, which has resulted in China relying on domestic chips (e.g., Huawei Ascend).
Government Policies:
Demand for AI Engineers: With the ongoing adoption of AI technologies, China is aiming to increase its demand for AI professionals by 2030, which is expected to reach 6 million, with a potential talent gap of up to 4 million.
Future Outlook: China in the future is expected to shift its focus to a self-reliant AI ecosystem through the expansion of smart city initiatives and autonomous technologies.
3. India
India’s AI adoption is fueled by its tech talent and digital economy.
According to the Global Workplace Skills Study conducted by Emeritus in 2025, 96% of Indian professionals are expected to use AI and generative AI tools at work.
IT Infrastructure: India is on the path of rapidly building a strong AI computing and semiconductor infrastructure to support its growing digital economy. In March 2024, the central government approved INR 107.3 billion (US$1.24 billion) for AI-specific data infrastructure.
Investments in Infra: In March 2024, the central government approved INR 107.3 billion (US$1.24 billion) for AI-specific data infrastructure. Along with this, according to NASSCOM, India is expected to attract US$5 billion in annual investment in data centers in 2025with AWS planning 800MW-1GW of AI data center capacity and Microsoft committing $3 billion towards making India a major AI infrastructure hub.
Data Centers: India’s data center industry is expected to experience significant growth, which will be driven by the rapid adoption of cloud computing along with the increasing demand for data storage across tech-enabled industries. A report by JLL India, which is a real estate consultancy, projected a 66% increase in the country’s data center capacity between the second half of 2024 and 2026.
India’s Data Center Expansion, in MW, 2024 AND 2026
Source: India Briefing, Report by JLL India
Companies and Solutions:
GPU Requirements: The Union IT Minister announced the India AI Mission Expansion, which will be targeted towards adding 16,000 GPUs, which will total to over 34,000 GPUs, necessary in boosting AI self-reliance and innovation.
Government Policies
Demand for AI Engineers: According to the report India’s Revolution: A Roadmap to Viksit Bharat, which was released by the Union Ministry of Electronics & IT, India is expected to see a massive surge in the demand for AI professionals, with the projections estimating the need for one million skilled individuals by 2026.
Future Outlook: AI growth in India will be driven by healthcare diagnostics, education, precision agriculture, and many more.
4. Japan
In February 2025, the Japanese Government announced its plan of positioning Japan as the most AI-friendly country in the world while having a cautious approach towards the adoption of AI, which stems from a broader cultural norm.
IT Infrastructure and Investments: In 2024, Microsoft announced its plans to invest US$2.9 billion over the next two years in Japan with the aim of increasing Japan’s hyperscale cloud computing and AI infrastructure.
Data Centers: Japan consists of a total of 186 data centers from 18 markets, with the highest coming from Tokyo (88 data centers), followed by Osaka with 48, and more.
Japan Data Centers, 2024
Source: Data Center Map
Companies and Solutions:
GPU Requirement: Japan cloud leaders SoftBank Corp, GMO Internet Group, Highreso, KDDI, and Sakura International announced the plans of building AI infrastructure with NVIDIA in 2024, which will support Japan AI GPU requirements with NVIDIA H100 GPUs to meet the surging demand for generative AI training and inference.
Government Policies:
Demand for AI Engineers: With a shortage of AI professionals, Japan is moving forward with reskilling programs through Universities and corporate training, which will meet the growing demand for AI expertise.
Future Outlook: Japan will effectively use Artificial Intelligence in its elderly care, autonomous mobility, and smart manufacturing.
5. Germany
Germany is on the path to becoming a European leader in AI adoption, with consulting and business services leading the way internationally.
IT Infrastructure: Germany’s Industry 4.0 ecosystem is efficiently integrating advanced automation, cloud computing, and IoT through the seamless deployment of AI across smart cities and logistics.
Investments in Infra and Government Policies: Germany was amongst the first countries who adopt a national strategy for AI, which is now essentially in maintaining responsible growth and competitiveness in AI. In 2020, a budget of EUR 3 billion was originally allocated, but later it was increased to EUR 5 billion by the three leading ministries who evaluated the national AI strategy in 2023-23.
Data Centers: Frankfurt in Germany is regarded as the second most important data center hub on the continue with Germany playing a key role in the European market.
Companies and Solutions:
GPU Requirements: In Germany, there is a growing need for GPUs in industrial AI applications.
Demand for AI Engineers: With the booming AI market, the country is offering many career prospects to engineers in different economic sectors, especially in the field of research and development (R&D).
Future Outlook: In the case of Industrial AI and green technology, Germany is expected to lead with its expansion of applications in smart manufacturing, sustainable logistics, and renewable energy to meet the global demands.
6. United Kingdom
The United Kingdom is quickly positioning itself as an important adopter and developer of AI, especially in Europe. It is using its powerful research institutions, favorable government policies, spreading investments of the private sector to speed up the development and implementation of AI.
Companies and Solutions:
Government Policies:
7. South Korea
In Asia, South Korea is emerging as a global player in the field of AI due to its ICT infrastructure and a well-developed semiconductor industry, coupled with government support. The country is integrating AI into key sectors such as manufacturing, robotics, healthcare, and education to future-proof its economy and remain technologically competitive.
Companies and Solutions:
Government Policies:
8. Canada
Canada is rising to the challenge of becoming a global leader in ethical and inclusive artificial intelligence with competitive research facilities, generous state structures, and a vibrant startup community.
Companies and Solutions:
Government Policies:
9. France
France is positioning itself as a leading force in European AI through strong political commitment, effective public-private collaboration, and strategic investments in research, infrastructure, and regulatory frameworks. The nation aims at developing sovereignty in the AI sector, ethical governance, and competitiveness in the industry, especially in the defense industry, transport, financial, and healthcare sectors.
Companies and Solutions:
Government Policies:
10. Singapore
Singapore has been strategically positioning itself as an ideal hub in terms of AI in South East Asia, largely due to its advanced digital infrastructure, aggressive government strategies, and connections all around the world. Focusing heavily on the role of the partnership between the government and the private sector, digital sovereignty, and ethical AI, the state is deploying artificial intelligence in the spheres of finance, logistics, healthcare, urban planning, and national security.
Companies and Solutions:
Government Policies:
Authors Bio:
Lavannya Malhotra and Anjali Mishra are Market Research Analysts specializing in technology trends, with a focus on emerging technologies, who contribute data-driven insights to global tech publications. Together, they have delivered a comprehensive analysis of AI adoption and market dynamics.
Next-Gen Elderly Care: How AI is Driving Industry Transformation
White PapersThe artificial intelligence revolution in elderly care is gaining unprecedented momentum, with industry experts and companies reporting transformative changes across the sector. The AI-Powered Solutions For Elderly Care Market is predicted to reach USD 5.646 billion by 2030 at a high 31.90% CAGR, signaling massive investment and adoption in this critical healthcare segment.
Industry Growth and Future Outlook
This explosive growth is driven by several converging factors: an aging global population, rising healthcare costs, and breakthrough technological advancements that make AI solutions more accessible and effective.
According to Knowledege Sourcing Intelligence (KSI) analysts, there is a growing shortage of staff to provide nursing care, creating an urgent need for artificial intelligence to offer sustainable solutions and assuage the care situation. This staffing crisis has accelerated the adoption of AI technologies across elderly care facilities worldwide.
Revolutionizing Senior Care: Top AI Technologies in Action
The are several Cutting-Edge AI applications enhancing elderly wellbeing:
Pioneering Solutions and Thought Leadership
Leading technology companies are making significant strides in AI solutions aimed at providing better elderly care. ElliQ 3, the latest iteration from Intuition Robotics, upgraded the hardware and leveraged generative AI and LLMs to enhance its conversational skills, providing companionship and assistance to elderly users. The AI should be bridging the gap between the technologies and should be a positive disruption for the easy acceptance by reluctant users.
Addressing Industry Challenges and Risks
Even though the acceptance of these solutions has been rising, the challenges remain which are being mitigated with improving solutions. Some of these pain points of the industry are as below:
Future Outlook and Implementation Strategies
AI adoption should be strategic and gradual. A thoughtful AI adoption strategy that addresses the current challenges is essential for successful implementation. The solutions should not be shipped just for the revenue maximization but should be capable of addressing core concerns of all the stakeholders.
The transformation is already underway, with elderly care technology revolutionizing home health care through AI, smart homes, and robotics. As the market continues its rapid expansion, the focus remains on enhancing care quality while addressing the critical staffing shortages facing the industry.
The future of elderly care is being reshaped by AI, promising more personalized, efficient, and effective care for the aging population. Success will depend on balancing technological innovation with the human touch that remains at the heart of quality senior care.
Transforming Industrial Chemistry: The Strategies Driving Specialty Chemicals Innovation in 2025
Thought ArticlesChemistry at the Crossroads of Innovation
The global specialty chemicals industry stands at a pivotal juncture, experiencing unprecedented transformation that is reshaping manufacturing, agriculture, and consumer goods production. As industries demand higher performance, sustainability, and cost-effectiveness, specialty chemicals are becoming the foundation of modern industrial processes. A robust 4.92% CAGR, reaching $1.067 trillion by 2030, businesses are investing in these advanced chemical solutions at an accelerated pace.
The following factors are propelling the specialty chemicals demand across different sectors:
Trends and opportunities for key market players:
Increasing Demand for Personal Care Products Is Accelerating Specialty Chemical Demand
The fusion of consumer lifestyle changes with specialty chemical innovations is revolutionizing the personal care industry. For e.g. European cosmetics market alone reached €96 billion in retail sales in 2023, with 500 million consumers driving demand for advanced chemical formulations. Industry experts predict that personal care applications will become the fastest-growing segment, with India’s market expected to cross more than $20 billion by 2025 at a high 22% CAGR.
What are the potential growth opportunities for specialty chemicals in the personal care products sector?
Following companies are catering to this high growth segment:
Agrochemical Innovation Is Transforming Food Security Solutions
The intersection of global population growth and agricultural productivity demands is driving unprecedented innovation in specialty chemicals for agriculture. With global population projected to reach 9.7 billion by 2050, the agrochemical sector is experiencing significant growth, with fertilizer production reaching more than 180 million tonnes in 2022, creating substantial opportunities for specialty chemical companies.
What are the potential growth opportunities for specialty chemicals in the agrochemicals sector?
The companies listed below continue to innovate and launch products for this sector:
Asia-Pacific Infrastructure Boom Is Driving Market Expansion
The rapid infrastructure development across Asia-Pacific is creating unprecedented demand for specialty chemicals in construction, automotive, and industrial applications. India’s infrastructure investment increased by 11.1% to $133.86 billion, while China’s Belt and Road Initiative continues driving regional development, creating massive opportunities for specialty chemical suppliers.
The region presents significant growth opportunities for the key market players with some of the trends listed as below:
Following Companies are advancing the developments through strategic initiatives:
Critical Insights & Strategic Actions for Industry Leaders
The specialty chemicals market is undergoing huge transformation and will witness robust growth and innovation. Some of the strategies which players focus on:
The specialty chemicals industry offers immense potential, and companies must adopt these strategic imperatives to drive transformation and seize competitive advantages.
Author: Knowledge Sourcing Intelligence (KSI) consulting team
Lentil Protein Market expected to reach US$190.394 million by 2030
Press ReleasesLentil Protein Market Trends & Forecast
Rising demand for plant-based proteins and growing demand for consumer preference for sustainable, ethical, and types of protein are driving the market for lentil protein. In March 2022, Louis Dreyfus Company B.V. announced that they are entering into the new plant proteins business as part of its commitment to helping shape a strong and sustainable food system. They announced a new R&D facility dedicated to their plant proteins business in the San Francisco Bay Area, California, US. As part of their strategic growth plans to move further downstream and diversify revenue through the rapidly-growing plant-based foods market through plant protein extraction and food & beverage applications.
Further, water lentil protein contains the highest level of Essential Amino Acids and Branched-Chain Amino Acids of all plant proteins. Its amino acid profile is comparable to animal proteins like whey and egg. These are perfect ingredients to make products more nutritious and boost the protein content. Rubisco Foods is a Dutch company that produces and develops innovative plant-based food and feed ingredients, with a specialisation in the production of water lentil and alfalfa protein powders. They specialize in protein ingredients that are non-GMO and allergen-free. In April 2023, EFSA (European Food Safety Authority) confirmed that the protein concentrate that Rubisco Foods extracts from water lentils is food-safe.
In February 2025, the European Food Safety Authority (EFSA) officially approved water lentils, also known as duckweed, for production and consumption as fresh vegetables in the EU. Water lentils are high in vitamins and minerals and have a high protein content at dry weight. In addition, their exponential growth means they produce very high yields per hectare, so cultivation requires relatively little space.
ATURA offers in the food and beverage industry to sustainably meet the demand for protein-rich, plant-origin diets backed by science. There red lentil protein, 55% (Lens esculenta), is a natural high protein source, produced to the highest standards. The product has a pulse flavour and is made with a gentle process to ensure great product quality. In April 2024, the company completed the UK site expansion with £20m. With the final stage of the Deltagen UK site expansion completed, ATURA’s range of plant-based proteins will expand for customers and the strategic direction of the business.
➥ View a sample of the report or purchase the complete study at: Lentil Protein Market Report
Lentil Protein Market Report Highlights
Lentil Protein Market Segmentation
Knowledge Sourcing Intelligence has segmented the global Lentil protein market based on form, type, and application, and region:
Lentil protein market, By Form
Lentil protein market, By Type
Lentil protein market, By Application
Lentil Protein Market, By Region
Lentil Protein Market Key Players
Report Coverage:
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.
Olive Oil Market expected to reach US$19.049 billion by 2030
Press ReleasesOlive Oil Market Trends & Forecast:
The olive oil market is growing in demand due to the increasing prevalence of health-related diseases globally, which is contributing to consumers adopting healthy eating. Further, the high content of healthy monounsaturated fats and abundant antioxidants in olive oil is increasing its popularity among consumers.
Further, the rising environmental consciousness among consumers is also driving the demand for sustainable methods for the production of olive oil. This is contributing to companies implementing sustainable production process, which decreases ecological footprints aligning with the sustainability trend globally. The increased use of olive oil in gourmet and international food cuisines is rising among consumers seeking high-quality oil for an authentic culinary experience. This will contribute to increased demand for specialized variety and premium olive oil, leading to its growth during the forecasted period.
➥ View a sample of the report or purchase the complete study at: Olive Oil Market Report
Olive Oil Market Report Highlights:
Olive Oil Market Segmentation:
Knowledge Sourcing Intelligence has segmented the Olive Oil Market based on product type, production, distribution, industry, and region:
Olive Oil Market, By Product Type
Olive Oil Market, By Production
Olive Oil Market, By Distribution
Olive Oil Market, By Industry
Olive Oil Market, By Region
Olive Oil Market Key Players:
Report Coverage:
About Knowledge Sourcing Intelligence (KSI)
Knowledge Sourcing Intelligence (KSI) is a market research and consulting firm headquartered in India. Backed by seasoned industry experts, we offer syndicated reports, customized research, and strategic consulting services. Our proprietary data analytics framework, combined with rigorous primary and secondary research, enables us to deliver high-quality insights that support informed decision-making. Our solutions empower businesses to gain a competitive edge in their markets. With deep expertise across ten key sectors, including ICT, Chemicals, Semiconductors, and Healthcare, we effectively address the diverse needs of our global clientele.