Global Generative AI In Design 麻豆原创 2025 by Company, Regions, Type and Application, Forecast to 2031

Publication ID:

GIR042511899

Publication Date:

April 22, 2025

Pages:

105

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global Generative AI In Design market size was valued at US$ 1056 million in 2024 and is forecast to a readjusted size of USD 2852 million by 2031 with a CAGR of 13.9% during review 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.

This report is a detailed and comprehensive analysis for global Generative AI In Design market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Generative AI In Design market size and forecasts, in consumption value ($ Million), 2020-2031
Global Generative AI In Design market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Generative AI In Design market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Generative AI In Design market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Generative AI In Design
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Generative AI In Design market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Canva, Microsoft, NVIDIA, IBM, Figma, OpenAI, Adobe, DeepMind, Daz 3D, Google, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Generative AI In Design market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
AI-Powered Design Software
AI-Powered 3D Modeling
AI-Powered Content Generation
Others
麻豆原创 segment by Application
Gaming and Animation
VR and AR
Architecture and Design
Others
麻豆原创 segment by players, this report covers
Canva
Microsoft
NVIDIA
IBM
Figma
OpenAI
Adobe
DeepMind
Daz 3D
Google
Cohere
Gepetto AI
Luma AI
Alpha3D
Backflip AI
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Generative AI In Design product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Generative AI In Design, with revenue, gross margin, and global market share of Generative AI In Design from 2020 to 2025.
Chapter 3, the Generative AI In Design competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Generative AI In Design market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Generative AI In Design.
Chapter 13, to describe Generative AI In Design research findings and conclusion.

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

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Generative AI In Design by Type
1.3.1 Overview: Global Generative AI In Design 麻豆原创 Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Generative AI In Design Consumption Value 麻豆原创 Share by Type in 2024
1.3.3 AI-Powered Design Software
1.3.4 AI-Powered 3D Modeling
1.3.5 AI-Powered Content Generation
1.3.6 Others
1.4 Global Generative AI In Design 麻豆原创 by Application
1.4.1 Overview: Global Generative AI In Design 麻豆原创 Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Gaming and Animation
1.4.3 VR and AR
1.4.4 Architecture and Design
1.4.5 Others
1.5 Global Generative AI In Design 麻豆原创 Size & Forecast
1.6 Global Generative AI In Design 麻豆原创 Size and Forecast by Region
1.6.1 Global Generative AI In Design 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Generative AI In Design 麻豆原创 Size by Region, (2020-2031)
1.6.3 North America Generative AI In Design 麻豆原创 Size and Prospect (2020-2031)
1.6.4 Europe Generative AI In Design 麻豆原创 Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Generative AI In Design 麻豆原创 Size and Prospect (2020-2031)
1.6.6 South America Generative AI In Design 麻豆原创 Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Generative AI In Design 麻豆原创 Size and Prospect (2020-2031)
2 Company Profiles
2.1 Canva
2.1.1 Canva Details
2.1.2 Canva Major Business
2.1.3 Canva Generative AI In Design Product and Solutions
2.1.4 Canva Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.1.5 Canva Recent Developments and Future Plans
2.2 Microsoft
2.2.1 Microsoft Details
2.2.2 Microsoft Major Business
2.2.3 Microsoft Generative AI In Design Product and Solutions
2.2.4 Microsoft Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.2.5 Microsoft Recent Developments and Future Plans
2.3 NVIDIA
2.3.1 NVIDIA Details
2.3.2 NVIDIA Major Business
2.3.3 NVIDIA Generative AI In Design Product and Solutions
2.3.4 NVIDIA Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.3.5 NVIDIA Recent Developments and Future Plans
2.4 IBM
2.4.1 IBM Details
2.4.2 IBM Major Business
2.4.3 IBM Generative AI In Design Product and Solutions
2.4.4 IBM Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.4.5 IBM Recent Developments and Future Plans
2.5 Figma
2.5.1 Figma Details
2.5.2 Figma Major Business
2.5.3 Figma Generative AI In Design Product and Solutions
2.5.4 Figma Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.5.5 Figma Recent Developments and Future Plans
2.6 OpenAI
2.6.1 OpenAI Details
2.6.2 OpenAI Major Business
2.6.3 OpenAI Generative AI In Design Product and Solutions
2.6.4 OpenAI Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.6.5 OpenAI Recent Developments and Future Plans
2.7 Adobe
2.7.1 Adobe Details
2.7.2 Adobe Major Business
2.7.3 Adobe Generative AI In Design Product and Solutions
2.7.4 Adobe Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.7.5 Adobe Recent Developments and Future Plans
2.8 DeepMind
2.8.1 DeepMind Details
2.8.2 DeepMind Major Business
2.8.3 DeepMind Generative AI In Design Product and Solutions
2.8.4 DeepMind Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.8.5 DeepMind Recent Developments and Future Plans
2.9 Daz 3D
2.9.1 Daz 3D Details
2.9.2 Daz 3D Major Business
2.9.3 Daz 3D Generative AI In Design Product and Solutions
2.9.4 Daz 3D Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.9.5 Daz 3D Recent Developments and Future Plans
2.10 Google
2.10.1 Google Details
2.10.2 Google Major Business
2.10.3 Google Generative AI In Design Product and Solutions
2.10.4 Google Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.10.5 Google Recent Developments and Future Plans
2.11 Cohere
2.11.1 Cohere Details
2.11.2 Cohere Major Business
2.11.3 Cohere Generative AI In Design Product and Solutions
2.11.4 Cohere Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.11.5 Cohere Recent Developments and Future Plans
2.12 Gepetto AI
2.12.1 Gepetto AI Details
2.12.2 Gepetto AI Major Business
2.12.3 Gepetto AI Generative AI In Design Product and Solutions
2.12.4 Gepetto AI Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.12.5 Gepetto AI Recent Developments and Future Plans
2.13 Luma AI
2.13.1 Luma AI Details
2.13.2 Luma AI Major Business
2.13.3 Luma AI Generative AI In Design Product and Solutions
2.13.4 Luma AI Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.13.5 Luma AI Recent Developments and Future Plans
2.14 Alpha3D
2.14.1 Alpha3D Details
2.14.2 Alpha3D Major Business
2.14.3 Alpha3D Generative AI In Design Product and Solutions
2.14.4 Alpha3D Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.14.5 Alpha3D Recent Developments and Future Plans
2.15 Backflip AI
2.15.1 Backflip AI Details
2.15.2 Backflip AI Major Business
2.15.3 Backflip AI Generative AI In Design Product and Solutions
2.15.4 Backflip AI Generative AI In Design Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.15.5 Backflip AI Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Generative AI In Design Revenue and Share by Players (2020-2025)
3.2 麻豆原创 Share Analysis (2024)
3.2.1 麻豆原创 Share of Generative AI In Design by Company Revenue
3.2.2 Top 3 Generative AI In Design Players 麻豆原创 Share in 2024
3.2.3 Top 6 Generative AI In Design Players 麻豆原创 Share in 2024
3.3 Generative AI In Design 麻豆原创: Overall Company Footprint Analysis
3.3.1 Generative AI In Design 麻豆原创: Region Footprint
3.3.2 Generative AI In Design 麻豆原创: Company Product Type Footprint
3.3.3 Generative AI In Design 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Generative AI In Design Consumption Value and 麻豆原创 Share by Type (2020-2025)
4.2 Global Generative AI In Design 麻豆原创 Forecast by Type (2026-2031)
5 麻豆原创 Size Segment by Application
5.1 Global Generative AI In Design Consumption Value 麻豆原创 Share by Application (2020-2025)
5.2 Global Generative AI In Design 麻豆原创 Forecast by Application (2026-2031)
6 North America
6.1 North America Generative AI In Design Consumption Value by Type (2020-2031)
6.2 North America Generative AI In Design 麻豆原创 Size by Application (2020-2031)
6.3 North America Generative AI In Design 麻豆原创 Size by Country
6.3.1 North America Generative AI In Design Consumption Value by Country (2020-2031)
6.3.2 United States Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
6.3.3 Canada Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
6.3.4 Mexico Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
7 Europe
7.1 Europe Generative AI In Design Consumption Value by Type (2020-2031)
7.2 Europe Generative AI In Design Consumption Value by Application (2020-2031)
7.3 Europe Generative AI In Design 麻豆原创 Size by Country
7.3.1 Europe Generative AI In Design Consumption Value by Country (2020-2031)
7.3.2 Germany Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
7.3.3 France Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
7.3.4 United Kingdom Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
7.3.5 Russia Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
7.3.6 Italy Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Generative AI In Design Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Generative AI In Design Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Generative AI In Design 麻豆原创 Size by Region
8.3.1 Asia-Pacific Generative AI In Design Consumption Value by Region (2020-2031)
8.3.2 China Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
8.3.3 Japan Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
8.3.4 South Korea Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
8.3.5 India Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
8.3.6 Southeast Asia Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
8.3.7 Australia Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
9 South America
9.1 South America Generative AI In Design Consumption Value by Type (2020-2031)
9.2 South America Generative AI In Design Consumption Value by Application (2020-2031)
9.3 South America Generative AI In Design 麻豆原创 Size by Country
9.3.1 South America Generative AI In Design Consumption Value by Country (2020-2031)
9.3.2 Brazil Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
9.3.3 Argentina Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Generative AI In Design Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Generative AI In Design Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Generative AI In Design 麻豆原创 Size by Country
10.3.1 Middle East & Africa Generative AI In Design Consumption Value by Country (2020-2031)
10.3.2 Turkey Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
10.3.4 UAE Generative AI In Design 麻豆原创 Size and Forecast (2020-2031)
11 麻豆原创 Dynamics
11.1 Generative AI In Design 麻豆原创 Drivers
11.2 Generative AI In Design 麻豆原创 Restraints
11.3 Generative AI In Design Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Generative AI In Design Industry Chain
12.2 Generative AI In Design Upstream Analysis
12.3 Generative AI In Design Midstream Analysis
12.4 Generative AI In Design Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

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

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.