Global Generative Design AI Software 麻豆原创 Growth (Status and Outlook) 2025-2031

Publication ID:

LPI02260128

Publication Date:

February 20, 2025

Pages:

114

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

The global Generative Design AI Software market size is predicted to grow from US$ 1430 million in 2025 to US$ 2557 million in 2031; it is expected to grow at a CAGR of 10.2% from 2025 to 2031.
Generative Design AI Software is a type of software that utilizes artificial intelligence (AI) algorithms to automate the creation and optimization of design solutions. It leverages machine learning and other AI techniques to analyze design parameters, constraints, and user preferences, and then generates a range of design options that meet these criteria. The software can further refine and optimize these designs based on performance metrics, cost considerations, and other factors.
United States market for Generative Design AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Generative Design AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Generative Design AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Generative Design AI Software players cover OpenAI, Microsoft, NVIDIA, IBM, Siemens, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
The 鈥淕enerative Design AI Software Industry Forecast鈥� looks at past sales and reviews total world Generative Design AI Software sales in 2024, providing a comprehensive analysis by region and market sector of projected Generative Design AI Software sales for 2025 through 2031. With Generative Design AI Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative Design AI Software industry.
This Insight Report provides a comprehensive analysis of the global Generative Design AI Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Generative Design AI Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Generative Design AI Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative Design AI Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Generative Design AI Software.
This report presents a comprehensive overview, market shares, and growth opportunities of Generative Design AI Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
Entertainment and Media
Retail and E-commerce
Architecture and Design
Others
Segmentation by Application:
Gaming and Animation
VR and AR
Architecture and Design
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
OpenAI
Microsoft
NVIDIA
IBM
Siemens
Adobe
Intel AI
DeepMind
Unity Technologies
Google
Cohere
Gepetto AI
Luma AI
Alpha3D
Backflip AI

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

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Generative Design AI Software 麻豆原创 Size (2020-2031)
2.1.2 Generative Design AI Software 麻豆原创 Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Generative Design AI Software by Country/Region (2020, 2024 & 2031)
2.2 Generative Design AI Software Segment by Type
2.2.1 Entertainment and Media
2.2.2 Retail and E-commerce
2.2.3 Architecture and Design
2.2.4 Others
2.3 Generative Design AI Software 麻豆原创 Size by Type
2.3.1 Generative Design AI Software 麻豆原创 Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Generative Design AI Software 麻豆原创 Size 麻豆原创 Share by Type (2020-2025)
2.4 Generative Design AI Software Segment by Application
2.4.1 Gaming and Animation
2.4.2 VR and AR
2.4.3 Architecture and Design
2.4.4 Others
2.5 Generative Design AI Software 麻豆原创 Size by Application
2.5.1 Generative Design AI Software 麻豆原创 Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Generative Design AI Software 麻豆原创 Size 麻豆原创 Share by Application (2020-2025)
3 Generative Design AI Software 麻豆原创 Size by Player
3.1 Generative Design AI Software 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Generative Design AI Software Revenue by Player (2020-2025)
3.1.2 Global Generative Design AI Software Revenue 麻豆原创 Share by Player (2020-2025)
3.2 Global Generative Design AI Software Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Generative Design AI Software by Region
4.1 Generative Design AI Software 麻豆原创 Size by Region (2020-2025)
4.2 Global Generative Design AI Software Annual Revenue by Country/Region (2020-2025)
4.3 Americas Generative Design AI Software 麻豆原创 Size Growth (2020-2025)
4.4 APAC Generative Design AI Software 麻豆原创 Size Growth (2020-2025)
4.5 Europe Generative Design AI Software 麻豆原创 Size Growth (2020-2025)
4.6 Middle East & Africa Generative Design AI Software 麻豆原创 Size Growth (2020-2025)
5 Americas
5.1 Americas Generative Design AI Software 麻豆原创 Size by Country (2020-2025)
5.2 Americas Generative Design AI Software 麻豆原创 Size by Type (2020-2025)
5.3 Americas Generative Design AI Software 麻豆原创 Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Generative Design AI Software 麻豆原创 Size by Region (2020-2025)
6.2 APAC Generative Design AI Software 麻豆原创 Size by Type (2020-2025)
6.3 APAC Generative Design AI Software 麻豆原创 Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Generative Design AI Software 麻豆原创 Size by Country (2020-2025)
7.2 Europe Generative Design AI Software 麻豆原创 Size by Type (2020-2025)
7.3 Europe Generative Design AI Software 麻豆原创 Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Generative Design AI Software by Region (2020-2025)
8.2 Middle East & Africa Generative Design AI Software 麻豆原创 Size by Type (2020-2025)
8.3 Middle East & Africa Generative Design AI Software 麻豆原创 Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Generative Design AI Software 麻豆原创 Forecast
10.1 Global Generative Design AI Software Forecast by Region (2026-2031)
10.1.1 Global Generative Design AI Software Forecast by Region (2026-2031)
10.1.2 Americas Generative Design AI Software Forecast
10.1.3 APAC Generative Design AI Software Forecast
10.1.4 Europe Generative Design AI Software Forecast
10.1.5 Middle East & Africa Generative Design AI Software Forecast
10.2 Americas Generative Design AI Software Forecast by Country (2026-2031)
10.2.1 United States 麻豆原创 Generative Design AI Software Forecast
10.2.2 Canada 麻豆原创 Generative Design AI Software Forecast
10.2.3 Mexico 麻豆原创 Generative Design AI Software Forecast
10.2.4 Brazil 麻豆原创 Generative Design AI Software Forecast
10.3 APAC Generative Design AI Software Forecast by Region (2026-2031)
10.3.1 China Generative Design AI Software 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Generative Design AI Software Forecast
10.3.3 Korea 麻豆原创 Generative Design AI Software Forecast
10.3.4 Southeast Asia 麻豆原创 Generative Design AI Software Forecast
10.3.5 India 麻豆原创 Generative Design AI Software Forecast
10.3.6 Australia 麻豆原创 Generative Design AI Software Forecast
10.4 Europe Generative Design AI Software Forecast by Country (2026-2031)
10.4.1 Germany 麻豆原创 Generative Design AI Software Forecast
10.4.2 France 麻豆原创 Generative Design AI Software Forecast
10.4.3 UK 麻豆原创 Generative Design AI Software Forecast
10.4.4 Italy 麻豆原创 Generative Design AI Software Forecast
10.4.5 Russia 麻豆原创 Generative Design AI Software Forecast
10.5 Middle East & Africa Generative Design AI Software Forecast by Region (2026-2031)
10.5.1 Egypt 麻豆原创 Generative Design AI Software Forecast
10.5.2 South Africa 麻豆原创 Generative Design AI Software Forecast
10.5.3 Israel 麻豆原创 Generative Design AI Software Forecast
10.5.4 Turkey 麻豆原创 Generative Design AI Software Forecast
10.6 Global Generative Design AI Software Forecast by Type (2026-2031)
10.7 Global Generative Design AI Software Forecast by Application (2026-2031)
10.7.1 GCC Countries 麻豆原创 Generative Design AI Software Forecast
11 Key Players Analysis
11.1 OpenAI
11.1.1 OpenAI Company Information
11.1.2 OpenAI Generative Design AI Software Product Offered
11.1.3 OpenAI Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.1.4 OpenAI Main Business Overview
11.1.5 OpenAI Latest Developments
11.2 Microsoft
11.2.1 Microsoft Company Information
11.2.2 Microsoft Generative Design AI Software Product Offered
11.2.3 Microsoft Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.2.4 Microsoft Main Business Overview
11.2.5 Microsoft Latest Developments
11.3 NVIDIA
11.3.1 NVIDIA Company Information
11.3.2 NVIDIA Generative Design AI Software Product Offered
11.3.3 NVIDIA Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.3.4 NVIDIA Main Business Overview
11.3.5 NVIDIA Latest Developments
11.4 IBM
11.4.1 IBM Company Information
11.4.2 IBM Generative Design AI Software Product Offered
11.4.3 IBM Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.4.4 IBM Main Business Overview
11.4.5 IBM Latest Developments
11.5 Siemens
11.5.1 Siemens Company Information
11.5.2 Siemens Generative Design AI Software Product Offered
11.5.3 Siemens Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.5.4 Siemens Main Business Overview
11.5.5 Siemens Latest Developments
11.6 Adobe
11.6.1 Adobe Company Information
11.6.2 Adobe Generative Design AI Software Product Offered
11.6.3 Adobe Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.6.4 Adobe Main Business Overview
11.6.5 Adobe Latest Developments
11.7 Intel AI
11.7.1 Intel AI Company Information
11.7.2 Intel AI Generative Design AI Software Product Offered
11.7.3 Intel AI Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.7.4 Intel AI Main Business Overview
11.7.5 Intel AI Latest Developments
11.8 DeepMind
11.8.1 DeepMind Company Information
11.8.2 DeepMind Generative Design AI Software Product Offered
11.8.3 DeepMind Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.8.4 DeepMind Main Business Overview
11.8.5 DeepMind Latest Developments
11.9 Unity Technologies
11.9.1 Unity Technologies Company Information
11.9.2 Unity Technologies Generative Design AI Software Product Offered
11.9.3 Unity Technologies Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.9.4 Unity Technologies Main Business Overview
11.9.5 Unity Technologies Latest Developments
11.10 Google
11.10.1 Google Company Information
11.10.2 Google Generative Design AI Software Product Offered
11.10.3 Google Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.10.4 Google Main Business Overview
11.10.5 Google Latest Developments
11.11 Cohere
11.11.1 Cohere Company Information
11.11.2 Cohere Generative Design AI Software Product Offered
11.11.3 Cohere Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.11.4 Cohere Main Business Overview
11.11.5 Cohere Latest Developments
11.12 Gepetto AI
11.12.1 Gepetto AI Company Information
11.12.2 Gepetto AI Generative Design AI Software Product Offered
11.12.3 Gepetto AI Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.12.4 Gepetto AI Main Business Overview
11.12.5 Gepetto AI Latest Developments
11.13 Luma AI
11.13.1 Luma AI Company Information
11.13.2 Luma AI Generative Design AI Software Product Offered
11.13.3 Luma AI Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.13.4 Luma AI Main Business Overview
11.13.5 Luma AI Latest Developments
11.14 Alpha3D
11.14.1 Alpha3D Company Information
11.14.2 Alpha3D Generative Design AI Software Product Offered
11.14.3 Alpha3D Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.14.4 Alpha3D Main Business Overview
11.14.5 Alpha3D Latest Developments
11.15 Backflip AI
11.15.1 Backflip AI Company Information
11.15.2 Backflip AI Generative Design AI Software Product Offered
11.15.3 Backflip AI Generative Design AI Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.15.4 Backflip AI Main Business Overview
11.15.5 Backflip AI Latest Developments
12 Research Findings and Conclusion

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