The global Generative AI market size was valued at US$ 34260 million in 2024 and is forecast to a readjusted size of USD 213320 million by 2031 with a CAGR of 31.8% during review period.
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.
This report is a detailed and comprehensive analysis for global Generative AI 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 market size and forecasts, in consumption value ($ Million), 2020-2031
Global Generative AI market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Generative AI market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Generative AI 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
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 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 Google, Meta, OpenAI, Stability AI, Baidu, Microsoft, Anthropic, IBM Watson, Amazon Web Services (AWS), Cohere, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Generative AI 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.
Market segment by Type
Desktop Application
Mobile Application
Market segment by Application
Text Generation
Image Generation
Code Generation
Audio Generation
Others
Market segment by players, this report covers
Google
Meta
OpenAI
Stability AI
Baidu
Microsoft
Anthropic
IBM Watson
Amazon Web Services (AWS)
Cohere
Mistral
Replika
Jasper
Market 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 product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Generative AI, with revenue, gross margin, and global market share of Generative AI from 2020 to 2025.
Chapter 3, the Generative AI 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 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.
Chapter 13, to describe Generative AI research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Generative AI by Type
1.3.1 Overview: Global Generative AI Market Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Generative AI Consumption Value Market Share by Type in 2024
1.3.3 Desktop Application
1.3.4 Mobile Application
1.4 Global Generative AI Market by Application
1.4.1 Overview: Global Generative AI Market Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Text Generation
1.4.3 Image Generation
1.4.4 Code Generation
1.4.5 Audio Generation
1.4.6 Others
1.5 Global Generative AI Market Size & Forecast
1.6 Global Generative AI Market Size and Forecast by Region
1.6.1 Global Generative AI Market Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Generative AI Market Size by Region, (2020-2031)
1.6.3 North America Generative AI Market Size and Prospect (2020-2031)
1.6.4 Europe Generative AI Market Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Generative AI Market Size and Prospect (2020-2031)
1.6.6 South America Generative AI Market Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Generative AI Market Size and Prospect (2020-2031)
2 Company Profiles
2.1 Google
2.1.1 Google Details
2.1.2 Google Major Business
2.1.3 Google Generative AI Product and Solutions
2.1.4 Google Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.1.5 Google Recent Developments and Future Plans
2.2 Meta
2.2.1 Meta Details
2.2.2 Meta Major Business
2.2.3 Meta Generative AI Product and Solutions
2.2.4 Meta Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.2.5 Meta Recent Developments and Future Plans
2.3 OpenAI
2.3.1 OpenAI Details
2.3.2 OpenAI Major Business
2.3.3 OpenAI Generative AI Product and Solutions
2.3.4 OpenAI Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.3.5 OpenAI Recent Developments and Future Plans
2.4 Stability AI
2.4.1 Stability AI Details
2.4.2 Stability AI Major Business
2.4.3 Stability AI Generative AI Product and Solutions
2.4.4 Stability AI Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.4.5 Stability AI Recent Developments and Future Plans
2.5 Baidu
2.5.1 Baidu Details
2.5.2 Baidu Major Business
2.5.3 Baidu Generative AI Product and Solutions
2.5.4 Baidu Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.5.5 Baidu Recent Developments and Future Plans
2.6 Microsoft
2.6.1 Microsoft Details
2.6.2 Microsoft Major Business
2.6.3 Microsoft Generative AI Product and Solutions
2.6.4 Microsoft Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.6.5 Microsoft Recent Developments and Future Plans
2.7 Anthropic
2.7.1 Anthropic Details
2.7.2 Anthropic Major Business
2.7.3 Anthropic Generative AI Product and Solutions
2.7.4 Anthropic Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.7.5 Anthropic Recent Developments and Future Plans
2.8 IBM Watson
2.8.1 IBM Watson Details
2.8.2 IBM Watson Major Business
2.8.3 IBM Watson Generative AI Product and Solutions
2.8.4 IBM Watson Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.8.5 IBM Watson Recent Developments and Future Plans
2.9 Amazon Web Services (AWS)
2.9.1 Amazon Web Services (AWS) Details
2.9.2 Amazon Web Services (AWS) Major Business
2.9.3 Amazon Web Services (AWS) Generative AI Product and Solutions
2.9.4 Amazon Web Services (AWS) Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.9.5 Amazon Web Services (AWS) Recent Developments and Future Plans
2.10 Cohere
2.10.1 Cohere Details
2.10.2 Cohere Major Business
2.10.3 Cohere Generative AI Product and Solutions
2.10.4 Cohere Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.10.5 Cohere Recent Developments and Future Plans
2.11 Mistral
2.11.1 Mistral Details
2.11.2 Mistral Major Business
2.11.3 Mistral Generative AI Product and Solutions
2.11.4 Mistral Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.11.5 Mistral Recent Developments and Future Plans
2.12 Replika
2.12.1 Replika Details
2.12.2 Replika Major Business
2.12.3 Replika Generative AI Product and Solutions
2.12.4 Replika Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.12.5 Replika Recent Developments and Future Plans
2.13 Jasper
2.13.1 Jasper Details
2.13.2 Jasper Major Business
2.13.3 Jasper Generative AI Product and Solutions
2.13.4 Jasper Generative AI Revenue, Gross Margin and Market Share (2020-2025)
2.13.5 Jasper Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Generative AI Revenue and Share by Players (2020-2025)
3.2 Market Share Analysis (2024)
3.2.1 Market Share of Generative AI by Company Revenue
3.2.2 Top 3 Generative AI Players Market Share in 2024
3.2.3 Top 6 Generative AI Players Market Share in 2024
3.3 Generative AI Market: Overall Company Footprint Analysis
3.3.1 Generative AI Market: Region Footprint
3.3.2 Generative AI Market: Company Product Type Footprint
3.3.3 Generative AI Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Generative AI Consumption Value and Market Share by Type (2020-2025)
4.2 Global Generative AI Market Forecast by Type (2026-2031)
5 Market Size Segment by Application
5.1 Global Generative AI Consumption Value Market Share by Application (2020-2025)
5.2 Global Generative AI Market Forecast by Application (2026-2031)
6 North America
6.1 North America Generative AI Consumption Value by Type (2020-2031)
6.2 North America Generative AI Market Size by Application (2020-2031)
6.3 North America Generative AI Market Size by Country
6.3.1 North America Generative AI Consumption Value by Country (2020-2031)
6.3.2 United States Generative AI Market Size and Forecast (2020-2031)
6.3.3 Canada Generative AI Market Size and Forecast (2020-2031)
6.3.4 Mexico Generative AI Market Size and Forecast (2020-2031)
7 Europe
7.1 Europe Generative AI Consumption Value by Type (2020-2031)
7.2 Europe Generative AI Consumption Value by Application (2020-2031)
7.3 Europe Generative AI Market Size by Country
7.3.1 Europe Generative AI Consumption Value by Country (2020-2031)
7.3.2 Germany Generative AI Market Size and Forecast (2020-2031)
7.3.3 France Generative AI Market Size and Forecast (2020-2031)
7.3.4 United Kingdom Generative AI Market Size and Forecast (2020-2031)
7.3.5 Russia Generative AI Market Size and Forecast (2020-2031)
7.3.6 Italy Generative AI Market Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Generative AI Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Generative AI Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Generative AI Market Size by Region
8.3.1 Asia-Pacific Generative AI Consumption Value by Region (2020-2031)
8.3.2 China Generative AI Market Size and Forecast (2020-2031)
8.3.3 Japan Generative AI Market Size and Forecast (2020-2031)
8.3.4 South Korea Generative AI Market Size and Forecast (2020-2031)
8.3.5 India Generative AI Market Size and Forecast (2020-2031)
8.3.6 Southeast Asia Generative AI Market Size and Forecast (2020-2031)
8.3.7 Australia Generative AI Market Size and Forecast (2020-2031)
9 South America
9.1 South America Generative AI Consumption Value by Type (2020-2031)
9.2 South America Generative AI Consumption Value by Application (2020-2031)
9.3 South America Generative AI Market Size by Country
9.3.1 South America Generative AI Consumption Value by Country (2020-2031)
9.3.2 Brazil Generative AI Market Size and Forecast (2020-2031)
9.3.3 Argentina Generative AI Market Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Generative AI Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Generative AI Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Generative AI Market Size by Country
10.3.1 Middle East & Africa Generative AI Consumption Value by Country (2020-2031)
10.3.2 Turkey Generative AI Market Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Generative AI Market Size and Forecast (2020-2031)
10.3.4 UAE Generative AI Market Size and Forecast (2020-2031)
11 Market Dynamics
11.1 Generative AI Market Drivers
11.2 Generative AI Market Restraints
11.3 Generative AI 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 Industry Chain
12.2 Generative AI Upstream Analysis
12.3 Generative AI Midstream Analysis
12.4 Generative AI Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Google
Meta
OpenAI
Stability AI
Baidu
Microsoft
Anthropic
IBM Watson
Amazon Web Services (AWS)
Cohere
Mistral
Replika
Jasper
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*If Applicable.