Digital Assistant Market Size, Share, Opportunities, And Trends By Type (Speech Recognition, Text-to-Speech Recognition), By End-User (Individuals, Small And Medium Enterprises, Large Enterprises), By Industry (BFSI, IT & Telecom, Automotive, Healthcare, Education, Others), And By Geography - Forecasts From 2024 To 2029
- Published : May 2024
- Report Code : KSI061611029
- Pages : 120
The global digital assistant market is evaluated at US$59.942 billion for the year 2022 growing at a CAGR of 16.94% reaching the market size of US$179.28 billion by the year 2029.
A software-driven tool that uses machine learning (ML) and artificial intelligence (AI) algorithms to process natural language and comprehend, interpret, and react to user queries instantly, a digital assistant is changing the game for people and organizations.
Digital assistants are not like traditional software; instead, they adjust and pick up on interactions to become more effective over time. They help carry out tasks like making appointments, searching, or offering customer support through voice or text-based interfaces, which increases operational efficiency and improves user experience. Businesses are using them extensively to lower labour costs and provide customers with individualized, round-the-clock services. They are therefore widely used in many industries, such as enterprise resource planning, healthcare, and customer service.
Rising advancements in artificial learning and machine learning
A fast pace in the development of technologies related to AI and ML enhances the dynamics of digital assistants’ performance. Due to the increased efficiency of natural language comprehension resulting from such innovations, intelligent virtual assistants are able to understand and respond to queries from users more accurately and quickly than anybody could imagine before.
Moreover, AI algorithms have been found to adaptively learn which informs better ways through which they can get better responses from BI etc in terms of both data as well usage26. As a result of this improvement in the ability to comprehend on a deeper level alongside gauging reactions or emotions associated with speech patterns, digital aid providers’ efficiency has been boosted significantly leading to increased use in every part such as medical diagnosis, and customer care among others.
Increasing demand for automation
Another significant factor driving the digital assistant market's growth is automation. Many industries want to become more effective, cheaper and streamlined making the use of IVAs very appealing. Without human intervention, Intelligent Virtual Assistants (IVAs) can perform several tasks such as scheduling and customer service. Companies can optimize overall productivity by allocating human resources to more creative and complex functions. There are significant long-term financial advantages linked to this automation. Across several industries, digital assistants are being incorporated faster due to increased awareness and this has helped in growing their markets.
Growth in Internet of Things (IoT) Applications
The Internet of Things (IoT) is developing rapidly and thereby leading to new ways of utilizing smart virtual assistants digital assistants are essential to enabling smooth communication and operation within these intricate ecosystems as devices become more and more connected. IVAs, for example, can be used by smart home systems to regulate the heating, lighting, and security systems. Moreover, companies can incorporate digital assistants into their supply chain management platforms to enhance the effectiveness of resource allocation and tracking. digital assistants adaptability and effectiveness in managing and controlling IoT devices greatly contribute to their rising demand globally, which is driving market expansion.
High demand from the retail industry
The customer experience is establishing itself as a critical distinctive feature in the highly competitive retail industry. digital assistants improve client interaction by offering tailored suggestions, responding to questions, and helping with transactions in real-time. The capacity to offer round-the-clock customer support in a computerized way gives retailers a significant competitive edge in fulfilling consumer demands for immediate, immediate assistance. Additionally, digital assistants are capable of managing a broad range of crucial retail operations tasks, including payment processing, inventory management, and even post-purchase assistance for clients. Retailers can attain operational efficiency, minimize expenses, and increase profitability by automating these functions.
Increasing adoption in the consumer electronics sector
The industry's growth is anticipated to be boosted by the rising trend in the consumer electronics industry such as smartwatches, smartphones, and smart speakers. This happens as clients get used to using smart devices to rely more on digital assistants for food ordering, scheduling, and even getting sports scores. Due to the growing complexity of work, the majority of organizations now depend on intelligent virtual assistants to assist them in managing their workload and promptly resolving customer concerns. Additionally, a smart virtual assistant makes it easier for humans and machines to communicate. It also converts spoken phrases and words into machine-readable formats using voice recognition technology. Throughout the forecast period, the aforementioned factors will propel the market for digital assistants.
North America is witnessing exponential growth during the forecast period
North America is expected to grow significantly during the forecast period since the area has a strong technological foundation, it is easier to develop and implement cutting-edge AI and machine learning models, which are crucial parts of effective digital assistants. These allow digital assistants to be most effective. Furthermore, there are numerous tech companies, research facilities, and startups pushing the latest technology in this region. This creates a competitive environment that rewards innovation, which accelerates the advancement and improvement of digital assistant technologies. Furthermore, North American consumer behaviour is strongly geared toward the adoption of digital technologies. Most people in the population are tech-aware and comfortable utilizing cutting-edge tools for routine tasks like online shopping and healthcare administration. This generates a sizable, ready-made market for applications involving digital assistants.
Market key launches
- In October 2023, Google unveiled Assistant, a generative AI-powered personal assistant, with Bard. It combines the individualized support of Assistant with the generative and reasoning powers of Bard. It can communicate with the user via text, voice, or image, and it can even assist in performing tasks. They will be able to access it on iOS and Android mobile devices in the upcoming months. To help them stay on top of the most important things in their lives, they are developing Assistant with Bard to be a more individualized helper that integrates with some of the Google services they already use, like Gmail and Docs.
- In September 2023, Microsoft 365 Copilot, an AI assistant for business clients, was introduced by Microsoft Corporation. Along with Microsoft 365 Chat, a brand-new AI assistant that is going to completely change the way people work, it was accessible from November 1, 2023.
Segmentation:
- By Type
- Speech Recognition
- Text-to-speech Recognition
- By End-User
- Individuals
- Small and Medium Enterprises
- Large Enterprises
- By Industry
- BFSI
- IT & Telecom
- Automotive
- Healthcare
- Education
- Others
- By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- UK
- Germany
- France
- Spain
- Others
- Middle East and Africa
- Israel
- Saudi Arabia
- Others
- Asia Pacific
- Japan
- China
- India
- Indonesia
- Taiwan
- Thailand
- Others
- North America
Frequently Asked Questions (FAQs)
1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base, and Forecast Years Timeline
1.8. Key Benefits to the Stakeholder
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Processes
3. EXECUTIVE SUMMARY
3.1. Key Findings
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. GLOBAL DIGITAL ASSISTANT MARKET, BY TYPE
5.1. Introduction
5.2. Speech Recognition
5.2.1. Market Trends and Opportunities
5.2.2. Growth Prospects
5.2.3. Geographic Lucrativeness
5.3. Text-to-speech Recognition
5.3.1. Market Trends and Opportunities
5.3.2. Growth Prospects
5.3.3. Geographic Lucrativeness
6. GLOBAL DIGITAL ASSISTANT MARKET, BY END-USER
6.1. Introduction
6.2. Individuals
6.2.1. Market Trends and Opportunities
6.2.2. Growth Prospects
6.2.3. Geographic Lucrativeness
6.3. Small and Medium Enterprises
6.3.1. Market Trends and Opportunities
6.3.2. Growth Prospects
6.3.3. Geographic Lucrativeness
6.4. Large Enterprises
6.4.1. Market Trends and Opportunities
6.4.2. Growth Prospects
6.4.3. Geographic Lucrativeness
7. GLOBAL DIGITAL ASSISTANT MARKET, BY INDUSTRY
7.1. Introduction
7.2. BFSI
7.2.1. Market Trends and Opportunities
7.2.2. Growth Prospects
7.2.3. Geographic Lucrativeness
7.3. IT & Telecom
7.3.1. Market Trends and Opportunities
7.3.2. Growth Prospects
7.3.3. Geographic Lucrativeness
7.4. Automotive
7.4.1. Market Trends and Opportunities
7.4.2. Growth Prospects
7.4.3. Geographic Lucrativeness
7.5. Healthcare
7.5.1. Market Trends and Opportunities
7.5.2. Growth Prospects
7.5.3. Geographic Lucrativeness
7.6. Education
7.6.1. Market Trends and Opportunities
7.6.2. Growth Prospects
7.6.3. Geographic Lucrativeness
7.7. Others
7.7.1. Market Trends and Opportunities
7.7.2. Growth Prospects
7.7.3. Geographic Lucrativeness
8. GLOBAL DIGITAL ASSISTANT MARKET, BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. By Type
8.2.2. By End-User
8.2.3. By Industry
8.2.4. By Country
8.2.4.1. USA
8.2.4.1.1. Market Trends and Opportunities
8.2.4.1.2. Growth Prospects
8.2.4.2. Canada
8.2.4.2.1. Market Trends and Opportunities
8.2.4.2.2. Growth Prospects
8.2.4.3. Mexico
8.2.4.3.1. Market Trends and Opportunities
8.2.4.3.2. Growth Prospects
8.3. South America
8.3.1. By Type
8.3.2. By End-User
8.3.3. By Industry
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.1.1. Market Trends and Opportunities
8.3.4.1.2. Growth Prospects
8.3.4.2. Argentina
8.3.4.2.1. Market Trends and Opportunities
8.3.4.2.2. Growth Prospects
8.3.4.3. Others
8.3.4.3.1. Market Trends and Opportunities
8.3.4.3.2. Growth Prospects
8.4. Europe
8.4.1. By Type
8.4.2. By End-User
8.4.3. By Industry
8.4.4. By Country
8.4.4.1. UK
8.4.4.1.1. Market Trends and Opportunities
8.4.4.1.2. Growth Prospects
8.4.4.2. Germany
8.4.4.2.1. Market Trends and Opportunities
8.4.4.2.2. Growth Prospects
8.4.4.3. France
8.4.4.3.1. Market Trends and Opportunities
8.4.4.3.2. Growth Prospects
8.4.4.4. Spain
8.4.4.4.1. Market Trends and Opportunities
8.4.4.4.2. Growth Prospects
8.4.4.5. Others
8.4.4.5.1. Market Trends and Opportunities
8.4.4.5.2. Growth Prospects
8.5. Middle East and Africa
8.5.1. By Type
8.5.2. By End-User
8.5.3. By Industry
8.5.4. By Country
8.5.4.1. Israel
8.5.4.1.1. Market Trends and Opportunities
8.5.4.1.2. Growth Prospects
8.5.4.2. Saudi Arabia
8.5.4.2.1. Market Trends and Opportunities
8.5.4.2.2. Growth Prospects
8.5.4.3. Others
8.5.4.3.1. Market Trends and Opportunities
8.5.4.3.2. Growth Prospects
8.6. Asia Pacific
8.6.1. By Type
8.6.2. By End-User
8.6.3. By Industry
8.6.4. By Country
8.6.4.1. Japan
8.6.4.1.1. Market Trends and Opportunities
8.6.4.1.2. Growth Prospects
8.6.4.2. China
8.6.4.2.1. Market Trends and Opportunities
8.6.4.2.2. Growth Prospects
8.6.4.3. India
8.6.4.3.1. Market Trends and Opportunities
8.6.4.3.2. Growth Prospects
8.6.4.4. Indonesia
8.6.4.4.1. Market Trends and Opportunities
8.6.4.4.2. Growth Prospects
8.6.4.5. Taiwan
8.6.4.5.1. Market Trends and Opportunities
8.6.4.5.2. Growth Prospects
8.6.4.6. Thailand
8.6.4.6.1. Market Trends and Opportunities
8.6.4.6.2. Growth Prospects
8.6.4.7. Others
8.6.4.7.1. Market Trends and Opportunities
8.6.4.7.2. Growth Prospects
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Amazon
10.2. Apple
10.3. Baidu Inc.
10.4. Creative Virtual Ltd.
10.5. Facebook
10.6. Google
10.7. IBM
10.8. Microsoft
10.9. Samsung
10.10. Clara Labs
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