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

Publication ID:

LPI06250871

Publication Date:

June 17, 2025

Pages:

113

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

The global Generative AI market size is predicted to grow from US$ 38630 million in 2025 to US$ 221820 million in 2031; it is expected to grow at a CAGR of 33.8% from 2025 to 2031.
Generative AI, that is, using deep learning models and probabilistic modeling techniques to generate new content similar to training data by learning the distribution characteristics of a large amount of data. Its core goal is to generate new samples or content (such as text, images, audio, etc.) by capturing the potential structure or pattern of the data, which looks indistinguishable from real data in some aspects.
Generative AI is based on deep learning models and is trained through neural networks to learn the statistical characteristics and inherent laws of data. Generative AI predicts the generation process of data based on probabilistic models and attempts to learn the conditional probability distribution of a certain type of data. In many generative AI models, data is mapped to a lower-dimensional latent space, which represents the high-dimensional feature compression of the data and is a high-level semantic representation learned by the model.
Generative AI can automatically generate corresponding answers based on user questions to realize intelligent customer service systems or intelligent assistants. At the same time, it can also automatically write news reports, advertising copy, etc. to improve writing efficiency and quality. In addition, in terms of literary creation, generative AI can generate literary works such as novels, poems, and scripts to assist writers and screenwriters in the creative process. Generative AI can automatically generate corresponding codes based on natural language descriptions. It can also automatically supplement missing code snippets based on existing codes to improve coding efficiency. Generative AI can automatically identify and classify objects or scenes in images based on image content to achieve image classification and segmentation tasks. In industrial design, it can assist industrial designers in designing products and generate 3D models and rendered images that meet the requirements. In addition, generative AI can also generate images of artworks or commercial products based on the creativity of artists or designers. Generative AI can synthesize realistic human voices for use in news broadcasts, audiobooks and other fields. It can also convert one voice into another to achieve voice editing and translation tasks. In terms of film and television content analysis and editing, generative AI can analyze film and television content, automatically generate editing and editing suggestions, and improve post-production efficiency. In addition, it can also automatically generate music works or video clips based on music style or video theme. Generative AI can automatically generate movie special effects, game scenes and animation clips to improve production efficiency and quality. It can also assist architects and designers in designing buildings and furniture and generate 3D models and rendered images that meet the requirements.
With the optimization and upgrading of the economic structure, the demand for efficiency and innovation in various industries continues to grow, providing a broad market space for the application of generative AI. Generative AI can help enterprises improve production efficiency, reduce costs, and enhance competitiveness, thereby promoting its rapid development.
The public's attention to generative AI continues to rise, and the younger generation is more receptive to new technologies. At the same time, with the improvement of education level and the strengthening of popular science work, more and more people are beginning to understand and recognize the value and significance of generative AI.
AI technology has gone through several stages of development, and the advent of the era of large models has made the application of generative AI more extensive. Different large models have their own advantages in various fields, which has promoted the continuous innovation and breakthroughs of generative AI technology. In addition, the rapid development of technologies such as cloud computing and big data has also provided powerful computing resources and data support for generative AI.
Generative AI has broad application prospects in many fields such as text generation, code generation, and image generation. As people's demand for personalized and customized services continues to increase, generative AI can better meet these needs, thereby promoting its rapid development.
The 鈥淕enerative AI Industry Forecast鈥� looks at past sales and reviews total world Generative AI sales in 2024, providing a comprehensive analysis by region and market sector of projected Generative AI sales for 2025 through 2031. With Generative AI sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative AI industry.
This Insight Report provides a comprehensive analysis of the global Generative AI 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 AI portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Generative AI market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative AI 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 AI.
This report presents a comprehensive overview, market shares, and growth opportunities of Generative AI market by product type, application, key players and key regions and countries.
Segmentation by Type:
Desktop Application
Mobile Application
Segmentation by Application:
Text Generation
Image Generation
Code Generation
Audio Generation
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.
Google
Meta
OpenAI
Stability AI
Baidu
Microsoft
Anthropic
IBM Watson
Amazon Web Services (AWS)
Cohere
Mistral
Replika
Jasper

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 AI 麻豆原创 Size (2020-2031)
2.1.2 Generative AI 麻豆原创 Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Generative AI by Country/Region (2020, 2024 & 2031)
2.2 Generative AI Segment by Type
2.2.1 Desktop Application
2.2.2 Mobile Application
2.3 Generative AI 麻豆原创 Size by Type
2.3.1 Generative AI 麻豆原创 Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Generative AI 麻豆原创 Size 麻豆原创 Share by Type (2020-2025)
2.4 Generative AI Segment by Application
2.4.1 Text Generation
2.4.2 Image Generation
2.4.3 Code Generation
2.4.4 Audio Generation
2.4.5 Others
2.5 Generative AI 麻豆原创 Size by Application
2.5.1 Generative AI 麻豆原创 Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Generative AI 麻豆原创 Size 麻豆原创 Share by Application (2020-2025)
3 Generative AI 麻豆原创 Size by Player
3.1 Generative AI 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Generative AI Revenue by Player (2020-2025)
3.1.2 Global Generative AI Revenue 麻豆原创 Share by Player (2020-2025)
3.2 Global Generative AI 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 AI by Region
4.1 Generative AI 麻豆原创 Size by Region (2020-2025)
4.2 Global Generative AI Annual Revenue by Country/Region (2020-2025)
4.3 Americas Generative AI 麻豆原创 Size Growth (2020-2025)
4.4 APAC Generative AI 麻豆原创 Size Growth (2020-2025)
4.5 Europe Generative AI 麻豆原创 Size Growth (2020-2025)
4.6 Middle East & Africa Generative AI 麻豆原创 Size Growth (2020-2025)
5 Americas
5.1 Americas Generative AI 麻豆原创 Size by Country (2020-2025)
5.2 Americas Generative AI 麻豆原创 Size by Type (2020-2025)
5.3 Americas Generative AI 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 AI 麻豆原创 Size by Region (2020-2025)
6.2 APAC Generative AI 麻豆原创 Size by Type (2020-2025)
6.3 APAC Generative AI 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 AI 麻豆原创 Size by Country (2020-2025)
7.2 Europe Generative AI 麻豆原创 Size by Type (2020-2025)
7.3 Europe Generative AI 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 AI by Region (2020-2025)
8.2 Middle East & Africa Generative AI 麻豆原创 Size by Type (2020-2025)
8.3 Middle East & Africa Generative AI 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 AI 麻豆原创 Forecast
10.1 Global Generative AI Forecast by Region (2026-2031)
10.1.1 Global Generative AI Forecast by Region (2026-2031)
10.1.2 Americas Generative AI Forecast
10.1.3 APAC Generative AI Forecast
10.1.4 Europe Generative AI Forecast
10.1.5 Middle East & Africa Generative AI Forecast
10.2 Americas Generative AI Forecast by Country (2026-2031)
10.2.1 United States 麻豆原创 Generative AI Forecast
10.2.2 Canada 麻豆原创 Generative AI Forecast
10.2.3 Mexico 麻豆原创 Generative AI Forecast
10.2.4 Brazil 麻豆原创 Generative AI Forecast
10.3 APAC Generative AI Forecast by Region (2026-2031)
10.3.1 China Generative AI 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Generative AI Forecast
10.3.3 Korea 麻豆原创 Generative AI Forecast
10.3.4 Southeast Asia 麻豆原创 Generative AI Forecast
10.3.5 India 麻豆原创 Generative AI Forecast
10.3.6 Australia 麻豆原创 Generative AI Forecast
10.4 Europe Generative AI Forecast by Country (2026-2031)
10.4.1 Germany 麻豆原创 Generative AI Forecast
10.4.2 France 麻豆原创 Generative AI Forecast
10.4.3 UK 麻豆原创 Generative AI Forecast
10.4.4 Italy 麻豆原创 Generative AI Forecast
10.4.5 Russia 麻豆原创 Generative AI Forecast
10.5 Middle East & Africa Generative AI Forecast by Region (2026-2031)
10.5.1 Egypt 麻豆原创 Generative AI Forecast
10.5.2 South Africa 麻豆原创 Generative AI Forecast
10.5.3 Israel 麻豆原创 Generative AI Forecast
10.5.4 Turkey 麻豆原创 Generative AI Forecast
10.6 Global Generative AI Forecast by Type (2026-2031)
10.7 Global Generative AI Forecast by Application (2026-2031)
10.7.1 GCC Countries 麻豆原创 Generative AI Forecast
11 Key Players Analysis
11.1 Google
11.1.1 Google Company Information
11.1.2 Google Generative AI Product Offered
11.1.3 Google Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.1.4 Google Main Business Overview
11.1.5 Google Latest Developments
11.2 Meta
11.2.1 Meta Company Information
11.2.2 Meta Generative AI Product Offered
11.2.3 Meta Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.2.4 Meta Main Business Overview
11.2.5 Meta Latest Developments
11.3 OpenAI
11.3.1 OpenAI Company Information
11.3.2 OpenAI Generative AI Product Offered
11.3.3 OpenAI Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.3.4 OpenAI Main Business Overview
11.3.5 OpenAI Latest Developments
11.4 Stability AI
11.4.1 Stability AI Company Information
11.4.2 Stability AI Generative AI Product Offered
11.4.3 Stability AI Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.4.4 Stability AI Main Business Overview
11.4.5 Stability AI Latest Developments
11.5 Baidu
11.5.1 Baidu Company Information
11.5.2 Baidu Generative AI Product Offered
11.5.3 Baidu Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.5.4 Baidu Main Business Overview
11.5.5 Baidu Latest Developments
11.6 Microsoft
11.6.1 Microsoft Company Information
11.6.2 Microsoft Generative AI Product Offered
11.6.3 Microsoft Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.6.4 Microsoft Main Business Overview
11.6.5 Microsoft Latest Developments
11.7 Anthropic
11.7.1 Anthropic Company Information
11.7.2 Anthropic Generative AI Product Offered
11.7.3 Anthropic Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.7.4 Anthropic Main Business Overview
11.7.5 Anthropic Latest Developments
11.8 IBM Watson
11.8.1 IBM Watson Company Information
11.8.2 IBM Watson Generative AI Product Offered
11.8.3 IBM Watson Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.8.4 IBM Watson Main Business Overview
11.8.5 IBM Watson Latest Developments
11.9 Amazon Web Services (AWS)
11.9.1 Amazon Web Services (AWS) Company Information
11.9.2 Amazon Web Services (AWS) Generative AI Product Offered
11.9.3 Amazon Web Services (AWS) Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.9.4 Amazon Web Services (AWS) Main Business Overview
11.9.5 Amazon Web Services (AWS) Latest Developments
11.10 Cohere
11.10.1 Cohere Company Information
11.10.2 Cohere Generative AI Product Offered
11.10.3 Cohere Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.10.4 Cohere Main Business Overview
11.10.5 Cohere Latest Developments
11.11 Mistral
11.11.1 Mistral Company Information
11.11.2 Mistral Generative AI Product Offered
11.11.3 Mistral Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.11.4 Mistral Main Business Overview
11.11.5 Mistral Latest Developments
11.12 Replika
11.12.1 Replika Company Information
11.12.2 Replika Generative AI Product Offered
11.12.3 Replika Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.12.4 Replika Main Business Overview
11.12.5 Replika Latest Developments
11.13 Jasper
11.13.1 Jasper Company Information
11.13.2 Jasper Generative AI Product Offered
11.13.3 Jasper Generative AI Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.13.4 Jasper Main Business Overview
11.13.5 Jasper Latest Developments
12 Research Findings and Conclusion

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