AI In The Design Market Size, Share, Opportunities, And Trends By End-Users (Small-sized Organization, Medium-sized Organization, Large-sized Organization), By Deployment (Cloud, On-Premise), By Application (Automotive Design, Interior Design, Architecture, Product Design, Graphic Design, Others), And By Geography - Forecasts From 2024 To 2029
- Published : Mar 2024
- Report Code : KSI061616762
- Pages : 142
The AI in the design market is anticipated to expand at a high CAGR over the forecast period.
AI in design is the incorporation of artificial intelligence technology into several stages of the design process, such as graphic design, product design, architecture, and user experience (UX) design. This market encompasses a wide range of AI-driven technologies and applications that aim to enhance creativity, efficiency, and productivity in the design process.
Some key aspects of AI in the design market are AI-powered design tools, generative design solutions, image and video editing software, and simulation, and visualization software. Companies provide tools and platforms that use artificial intelligence techniques, including machine learning, computer vision, and natural language processing, to automate design processes, produce new ideas, and help designers with their workflow.
Generative design software uses algorithms to explore and generate numerous design alternatives based on specified parameters and constraints, allowing designers to explore innovative solutions and optimize designs for various objectives.
AI-powered picture and video editing software uses machine learning algorithms to automate tasks like image enhancement, object removal, color correction, and video stabilization, allowing designers to generate visually attractive material more rapidly.
AI-powered simulation and visualization technologies enable designers to model physical events, visualize complicated data, and analyze design performance under various settings, allowing them to make more informed decisions and optimize designs appropriately.
The AI in the design market is being pushed by factors such as the increased need for automation, the need for new and personalized design solutions, and improvements in AI technology. However, data privacy problems, ethical considerations, and the necessity for human oversight and creativity continue to be essential factors in the development and implementation of AI-powered design solutions.
Market Drivers
- Enhanced creativity and innovation are contributing to AI in the design market growth
AI algorithms may produce fresh design concepts, propose innovative solutions, and investigate design options that human designers may not have considered. This encourages innovation and allows designers to push the frontiers of creativity.
Among various products available in the market, NVIDIA Canvas employs AI to convert brushstrokes into realistic landscape pictures, enabling speedy background creation and concept development. It has nine styles in Standard Mode and eight in Panorama Mode, and it allows you to paint on distinct layers for each element.
Overall, increased creativity and innovation enable designers to push the frontiers of design quality, resulting in powerful, user-centric solutions that generate corporate success and competitive advantage in the AI design industry.Top of Form
- Improved design quality is contributing to AI in the design market growth
AI-powered technologies can analyze large volumes of data, identify trends, and make data-driven design decisions. This leads to higher-quality designs that are tailored to certain goals, such as usability, aesthetics, or performance.
One of the products is Vertex AI Studio, which offers APIs for foundation models, quick prototyping, data tweaking, and application deployment that use Google's Gemini multimodal models. It provides quick design for model adaption as well as fully controlled tools for creating extensions that connect models to proprietary data sources or third-party services.
Overall, higher design quality generated by AI-driven innovation boosts the competitiveness, profitability, and sustainability of enterprises in the AI design sector. By providing superior design solutions that meet or exceed user expectations, AI enables businesses to differentiate themselves in the marketplace and promote development and success in the digital era.
Market Restraints
- Security concerns and data privacy hamper the market growth
AI in design primarily relies on user behavior, personalization data, and design assets. Concerns about data privacy, security breaches, and the abuse of sensitive information may discourage organizations from adopting AI-driven design solutions, particularly in regulated industries or locations with tight data protection requirements.
AI in the design market is segmented based on different deployment models
AI in the design market is segmented based on different deployment models. Cloud-based AI design solutions provide accessibility, scalability, and cheaper upfront costs, letting users use software from anywhere with an internet connection. They are frequently subscription-based, such as Canva, Figma, and Adobe Creative Cloud.
On-premises AI design solutions are installed and run on user infrastructure, allowing for data management, customization possibilities, and lower latency for real-time interactions and data processing. Examples include Adobe Creative Suite and Autodesk AutoCAD.
North America is anticipated to hold a significant share of the AI in design market.
North America, notably Silicon Valley in the United States, is a center of technical innovation. This region is home to several top AI and design organizations, including Autodesk, Adobe, Google, Nvidia, and OpenAI, who are pushing developments in AI-powered design solutions.
Companies in North America, particularly in the technology, automotive, aerospace, and entertainment industries, have been early adopters of AI-powered design solutions. Early adoption has helped the area maintain its market leadership.
The North American market is large and diverse, encompassing a wide range of industries that benefit from AI in design, including architecture, engineering, graphic design, gaming, and entertainment.
Key Developments
- June 2023 - Bentley Systems announced iTwin activate, a 20-week co-development program designed to accelerate early-stage businesses in infrastructure engineering software. Bentley iTwin Ventures managed the program, which was organized into cohorts based on industrial sectors. It helped companies establish industry-relevant products by giving investment, solution architecture support, and commercial insights from Bentley executives.
- February 2023- NASA announced the usage of artificial intelligence (AI) to build mission gear that resembles extraterrestrial bones but was lighter, more stress-resistant, and took less time to construct than human-designed parted, despite the possibility of increased structural stresses.
Company Products
- Ai Illustrator– Ai illustrator, With Adobe Firefly's new Text to Vector Graphic feature, you can magically turn a basic text prompt into a fully editable vector graphic. Retype allows you to rapidly recognize and change typefaces in any image.
- Magic Design – Magic Design™ is a free AI design tool that helps people visualize their ideas through enhanced templates. It employs Canva's AI to create personalized, stunning designs based on millions of templates, photos, fonts, and other visual components. Users may submit material and watch as personalized designs, presentations, or altered films emerge in the desired environment.
Market Segmentation
- By End-Users
- Small-sized organization
- Medium-sized organization
- Large-sized organization
- By Deployment
- Cloud
- On-Premise
- By Application
- Automotive design
- Interior design
- Architecture
- Product design
- Graphic design
- Others
- By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- Germany
- France
- UK
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- UAE
- Israel
- Others
- Asia Pacific
- China
- Japan
- India
- South Korea
- Indonesia
- Taiwan
- Others
- North America
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 Process
3. EXECUTIVE SUMMARY
3.1. Key Findings
3.2. CXO perspective
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. AI IN DESIGN MARKET BY END-USERS
5.1. Introduction
5.2. Small-sized organization
5.2.1. Market opportunities and trends
5.2.2. Growth prospects
5.2.3. Geographic lucrativeness
5.3. Medium-sized organization
5.3.1. Market opportunities and trends
5.3.2. Growth prospects
5.3.3. Geographic lucrativeness
5.4. Large-sized organization
5.4.1. Market opportunities and trends
5.4.2. Growth prospects
5.4.3. Geographic lucrativeness
6. AI IN DESIGN MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud
6.2.1. Market opportunities and trends
6.2.2. Growth prospects
6.2.3. Geographic lucrativeness
6.3. On-Premise
6.3.1. Market opportunities and trends
6.3.2. Growth prospects
6.3.3. Geographic lucrativeness
7. AI IN DESIGN MARKET BY APPLICATION
7.1. Introduction
7.2. Automotive design
7.2.1. Market opportunities and trends
7.2.2. Growth prospects
7.2.3. Geographic lucrativeness
7.3. Interior design
7.3.1. Market opportunities and trends
7.3.2. Growth prospects
7.3.3. Geographic lucrativeness
7.4. Architecture
7.4.1. Market opportunities and trends
7.4.2. Growth prospects
7.4.3. Geographic lucrativeness
7.5. Product design
7.5.1. Market opportunities and trends
7.5.2. Growth prospects
7.5.3. Geographic lucrativeness
7.6. Graphic design
7.6.1. Market opportunities and trends
7.6.2. Growth prospects
7.6.3. Geographic lucrativeness
7.7. Others
7.7.1. Market opportunities and trends
7.7.2. Growth prospects
7.7.3. Geographic lucrativeness
8. AI IN DESIGN MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. By End-users
8.2.2. By Deployment
8.2.3. By Application
8.2.4. By Country
8.2.4.1. United States
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 End-users
8.3.2. By Deployment
8.3.3. By Application
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 End-users
8.4.2. By Deployment
8.4.3. By Application
8.4.4. By Country
8.4.4.1. Germany
8.4.4.1.1. Market Trends and Opportunities
8.4.4.1.2. Growth Prospects
8.4.4.2. France
8.4.4.2.1. Market Trends and Opportunities
8.4.4.2.2. Growth Prospects
8.4.4.3. United Kingdom
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 End-users
8.5.2. By Deployment
8.5.3. By Application
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.1.1. Market Trends and Opportunities
8.5.4.1.2. Growth Prospects
8.5.4.2. UAE
8.5.4.2.1. Market Trends and Opportunities
8.5.4.2.2. Growth Prospects
8.5.4.3. Israel
8.5.4.3.1. Market Trends and Opportunities
8.5.4.3.2. Growth Prospects
8.5.4.4. Others
8.5.4.4.1. Market Trends and Opportunities
8.5.4.4.2. Growth Prospects
8.6. Asia Pacific
8.6.1. By End-users
8.6.2. By Deployment
8.6.3. By Application
8.6.4. By Country
8.6.4.1. China
8.6.4.1.1. Market Trends and Opportunities
8.6.4.1.2. Growth Prospects
8.6.4.2. Japan
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. South Korea
8.6.4.4.1. Market Trends and Opportunities
8.6.4.4.2. Growth Prospects
8.6.4.5. Indonesia
8.6.4.5.1. Market Trends and Opportunities
8.6.4.5.2. Growth Prospects
8.6.4.6. Taiwan
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, Acquisition, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Autodesk
10.2. Adobe
10.3. Google
10.4. Nvidia
10.5. OpenAI
10.6. galileo.ai
10.7. Coohom
10.8. Canva
10.9. Siemens
10.10. Monolith
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