AI in the Design Market - Forecasts from 2024 to 2029

AI in the Design Market - Forecasts from 2024 to 2029


The AI in the design market is forecasted to witness a growth of CAGR of 36.57%, to reach US$4,268.869 million by 2029, from US$898.546 million in 2024.

AI in design is a software technology that offers the assistance of computer intelligence with the combination of human input into the designing and outlaying of multiple types of projects for industries like media & communication, manufacturing, architecture, and others. Artificial intelligence is integrated into the design stages of projects, such as graphic design, product design, architecture, and user experience (UX) design. The AI in the design market incorporates a wide range of AI-based technologies and applications like machine learning, which help enhance creativity, efficiency, and productivity in the designing process. Some key aspects of this 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.

In the designing sector, generative AI tool is commonly used across multiple industries to create designs based on individuals' text or image inputs. Generative design software uses algorithms to create or generate multiple design alternatives based on specified parameters provided by humans; it allows designers to explore innovative and unique solutions to further optimize their designs.

Various types of AI tools are available across the market, like picture & video editing tools and simulation & visualization tools. The AI-powered picture and video editing platform utilizes advanced algorithms and machine learning to automate various types of designing processes like image enhancement, object removal, color correction, and video stabilization, allowing designers to generate visually attractive material more rapidly. The AI-powered simulation and visualization tools allow the designers to virtually model the physical environment and analyze design performance, allowing them to optimize designs suitably.

AI in the design market drivers
Enhanced creativity and innovation are boosting the market


A major factor boosting the global AI in the design market is the development of AI technologies and the optimum performance offered by such tools. AI programs use multiple algorithms and machine learning tools, which help them produce fresh and unique design concepts, introduce innovative solutions to projects, and investigate new design procedures or methods that human intelligence may lack. The availability of such capabilities encourages widespread innovation in the sector.

Various companies and research organizations introduced and integrated various tools and algorithms, further boosting the capabilities of the AI design platform. For instance, NVIDIA, a global technological leader, developed its design platform, Canvas. It employs AI-based tools to convert brushstrokes into realistic landscape pictures, enabling speedy background creation and concept development. This platform offers nine design styles, allowing the users to paint on distinct layers for each element.

AI in the design market geographical outlooks
North America is forecasted to hold a major share of the AI in the design market.


The North American region is forecasted to witness a greater global AI design market share. The North American countries, especially the USA, are among the leading nations in 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.

Reasons for buying this report:

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Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
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Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI in the design market is analyzed into the following segments:

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


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 for the stakeholders
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Process
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. The 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 THE DESIGN MARKET BY END-USERS
5.1. Introduction
5.2. Small-sized Organization
5.3. Medium-sized Organization
5.4. Large-sized Organization
6. AI IN THE DESIGN MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud
6.3. On-Premise
7. AI IN THE DESIGN MARKET BY APPLICATION
7.1. Introduction
7.2. Automotive Design
7.3. Interior Design
7.4. Architecture
7.5. Product Design
7.6. Graphic Design
7.7. Others
8. AI IN THE DESIGN MARKET BY GEOGRAPHY
8.1. Introduction
8.1. North America
8.1.1. By End-Users
8.1.2. By Deployment
8.1.3. By Application
8.1.4. By Country
8.1.4.1. United States
8.1.4.2. Canada
8.1.4.3. Others
8.2. South 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. Brazil
8.2.4.2. Argentina
8.2.4.3. Others
8.3. Europe
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. Germany
8.3.4.2. France
8.3.4.3. United Kingdom
8.3.4.4. Spain
8.3.4.5. Others
8.4. Middle East and Africa
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. Saudi Arabia
8.4.4.2. UAE
8.4.4.3. Israel
8.4.4.4. Others
8.5. Asia Pacific
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. China
8.5.4.2. Japan
8.5.4.3. India
8.5.4.4. South Korea
8.5.4.5. Indonesia
8.5.4.6. Taiwan
8.5.4.7. Others
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. 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
10.11. Cieden
10.12. Uizard Technologies
10.13. Visily

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