Global Generative AI In Design Market Research Report 2025

Publication ID:

PB501262418

Publication Date:

January 22, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Generative AI In Design was valued at US$ 1026 million in the year 2024 and is projected to reach a revised size of US$ 2821 million by 2031, growing at a CAGR of 14.2% during the forecast period.
Generative AI in design refers to the application of artificial intelligence (AI) techniques to automate and enhance the creative process in design. It leverages AI algorithms and machine learning models to analyze patterns, data, and user preferences, and then generates innovative and customized design solutions. Generative AI in design aims to improve efficiency, reduce human error, and enable the creation of more complex and personalized designs.
North American market for Generative AI In Design is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Generative AI In Design is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Generative AI In Design in Gaming and Animation is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Generative AI In Design include Canva, Microsoft, NVIDIA, IBM, Figma, OpenAI, Adobe, DeepMind, Daz 3D, Google, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Generative AI In Design, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Generative AI In Design.
The Generative AI In Design market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Generative AI In Design market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI In Design companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Canva
Microsoft
NVIDIA
IBM
Figma
OpenAI
Adobe
DeepMind
Daz 3D
Google
Cohere
Gepetto AI
Luma AI
Alpha3D
Backflip AI
Segment by Type
AI-Powered Design Software
AI-Powered 3D Modeling
AI-Powered Content Generation
Others
Segment by Application
Gaming and Animation
VR and AR
Architecture and Design
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI In Design company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Generative AI In Design Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 AI-Powered Design Software
1.2.3 AI-Powered 3D Modeling
1.2.4 AI-Powered Content Generation
1.2.5 Others
1.3 Market by Application
1.3.1 Global Generative AI In Design Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Gaming and Animation
1.3.3 VR and AR
1.3.4 Architecture and Design
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI In Design Market Perspective (2020-2031)
2.2 Global Generative AI In Design Growth Trends by Region
2.2.1 Global Generative AI In Design Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Generative AI In Design Historic Market Size by Region (2020-2025)
2.2.3 Generative AI In Design Forecasted Market Size by Region (2026-2031)
2.3 Generative AI In Design Market Dynamics
2.3.1 Generative AI In Design Industry Trends
2.3.2 Generative AI In Design Market Drivers
2.3.3 Generative AI In Design Market Challenges
2.3.4 Generative AI In Design Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI In Design Players by Revenue
3.1.1 Global Top Generative AI In Design Players by Revenue (2020-2025)
3.1.2 Global Generative AI In Design Revenue Market Share by Players (2020-2025)
3.2 Global Top Generative AI In Design Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Generative AI In Design Revenue
3.4 Global Generative AI In Design Market Concentration Ratio
3.4.1 Global Generative AI In Design Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI In Design Revenue in 2024
3.5 Global Key Players of Generative AI In Design Head office and Area Served
3.6 Global Key Players of Generative AI In Design, Product and Application
3.7 Global Key Players of Generative AI In Design, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI In Design Breakdown Data by Type
4.1 Global Generative AI In Design Historic Market Size by Type (2020-2025)
4.2 Global Generative AI In Design Forecasted Market Size by Type (2026-2031)
5 Generative AI In Design Breakdown Data by Application
5.1 Global Generative AI In Design Historic Market Size by Application (2020-2025)
5.2 Global Generative AI In Design Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Generative AI In Design Market Size (2020-2031)
6.2 North America Generative AI In Design Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Generative AI In Design Market Size by Country (2020-2025)
6.4 North America Generative AI In Design Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI In Design Market Size (2020-2031)
7.2 Europe Generative AI In Design Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Generative AI In Design Market Size by Country (2020-2025)
7.4 Europe Generative AI In Design Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Generative AI In Design Market Size (2020-2031)
8.2 Asia-Pacific Generative AI In Design Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Generative AI In Design Market Size by Region (2020-2025)
8.4 Asia-Pacific Generative AI In Design Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Generative AI In Design Market Size (2020-2031)
9.2 Latin America Generative AI In Design Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Generative AI In Design Market Size by Country (2020-2025)
9.4 Latin America Generative AI In Design Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI In Design Market Size (2020-2031)
10.2 Middle East & Africa Generative AI In Design Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Generative AI In Design Market Size by Country (2020-2025)
10.4 Middle East & Africa Generative AI In Design Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Canva
11.1.1 Canva Company Details
11.1.2 Canva Business Overview
11.1.3 Canva Generative AI In Design Introduction
11.1.4 Canva Revenue in Generative AI In Design Business (2020-2025)
11.1.5 Canva Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Generative AI In Design Introduction
11.2.4 Microsoft Revenue in Generative AI In Design Business (2020-2025)
11.2.5 Microsoft Recent Development
11.3 NVIDIA
11.3.1 NVIDIA Company Details
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Generative AI In Design Introduction
11.3.4 NVIDIA Revenue in Generative AI In Design Business (2020-2025)
11.3.5 NVIDIA Recent Development
11.4 IBM
11.4.1 IBM Company Details
11.4.2 IBM Business Overview
11.4.3 IBM Generative AI In Design Introduction
11.4.4 IBM Revenue in Generative AI In Design Business (2020-2025)
11.4.5 IBM Recent Development
11.5 Figma
11.5.1 Figma Company Details
11.5.2 Figma Business Overview
11.5.3 Figma Generative AI In Design Introduction
11.5.4 Figma Revenue in Generative AI In Design Business (2020-2025)
11.5.5 Figma Recent Development
11.6 OpenAI
11.6.1 OpenAI Company Details
11.6.2 OpenAI Business Overview
11.6.3 OpenAI Generative AI In Design Introduction
11.6.4 OpenAI Revenue in Generative AI In Design Business (2020-2025)
11.6.5 OpenAI Recent Development
11.7 Adobe
11.7.1 Adobe Company Details
11.7.2 Adobe Business Overview
11.7.3 Adobe Generative AI In Design Introduction
11.7.4 Adobe Revenue in Generative AI In Design Business (2020-2025)
11.7.5 Adobe Recent Development
11.8 DeepMind
11.8.1 DeepMind Company Details
11.8.2 DeepMind Business Overview
11.8.3 DeepMind Generative AI In Design Introduction
11.8.4 DeepMind Revenue in Generative AI In Design Business (2020-2025)
11.8.5 DeepMind Recent Development
11.9 Daz 3D
11.9.1 Daz 3D Company Details
11.9.2 Daz 3D Business Overview
11.9.3 Daz 3D Generative AI In Design Introduction
11.9.4 Daz 3D Revenue in Generative AI In Design Business (2020-2025)
11.9.5 Daz 3D Recent Development
11.10 Google
11.10.1 Google Company Details
11.10.2 Google Business Overview
11.10.3 Google Generative AI In Design Introduction
11.10.4 Google Revenue in Generative AI In Design Business (2020-2025)
11.10.5 Google Recent Development
11.11 Cohere
11.11.1 Cohere Company Details
11.11.2 Cohere Business Overview
11.11.3 Cohere Generative AI In Design Introduction
11.11.4 Cohere Revenue in Generative AI In Design Business (2020-2025)
11.11.5 Cohere Recent Development
11.12 Gepetto AI
11.12.1 Gepetto AI Company Details
11.12.2 Gepetto AI Business Overview
11.12.3 Gepetto AI Generative AI In Design Introduction
11.12.4 Gepetto AI Revenue in Generative AI In Design Business (2020-2025)
11.12.5 Gepetto AI Recent Development
11.13 Luma AI
11.13.1 Luma AI Company Details
11.13.2 Luma AI Business Overview
11.13.3 Luma AI Generative AI In Design Introduction
11.13.4 Luma AI Revenue in Generative AI In Design Business (2020-2025)
11.13.5 Luma AI Recent Development
11.14 Alpha3D
11.14.1 Alpha3D Company Details
11.14.2 Alpha3D Business Overview
11.14.3 Alpha3D Generative AI In Design Introduction
11.14.4 Alpha3D Revenue in Generative AI In Design Business (2020-2025)
11.14.5 Alpha3D Recent Development
11.15 Backflip AI
11.15.1 Backflip AI Company Details
11.15.2 Backflip AI Business Overview
11.15.3 Backflip AI Generative AI In Design Introduction
11.15.4 Backflip AI Revenue in Generative AI In Design Business (2020-2025)
11.15.5 Backflip AI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Canva
Microsoft
NVIDIA
IBM
Figma
OpenAI
Adobe
DeepMind
Daz 3D
Google
Cohere
Gepetto AI
Luma AI
Alpha3D
Backflip AI

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