
The global market for Generative AI was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/152 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Generative AI, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Generative AI by region & country, by Type, and by Application.
The Generative AI market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
By Company
Google
Meta
OpenAI
Stability AI
Baidu
Microsoft
Segment by Type:
Desktop Application
Mobile Application
Segment by Application
Text Generation
Image Generation
Code Generation
Audio Generation
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Generative AI manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Generative AI in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Generative AI in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Generative AI Product Introduction
1.2 Global Generative AI Market Size Forecast
1.3 Generative AI Market Trends & Drivers
1.3.1 Generative AI Industry Trends
1.3.2 Generative AI Market Drivers & Opportunity
1.3.3 Generative AI Market Challenges
1.3.4 Generative AI Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Generative AI Players Revenue Ranking (2023)
2.2 Global Generative AI Revenue by Company (2019-2024)
2.3 Key Companies Generative AI Manufacturing Base Distribution and Headquarters
2.4 Key Companies Generative AI Product Offered
2.5 Key Companies Time to Begin Mass Production of Generative AI
2.6 Generative AI Market Competitive Analysis
2.6.1 Generative AI Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Generative AI Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Generative AI as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Desktop Application
3.1.2 Mobile Application
3.2 Global Generative AI Sales Value by Type
3.2.1 Global Generative AI Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Generative AI Sales Value, by Type (2019-2030)
3.2.3 Global Generative AI Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Text Generation
4.1.2 Image Generation
4.1.3 Code Generation
4.1.4 Audio Generation
4.1.5 Others
4.2 Global Generative AI Sales Value by Application
4.2.1 Global Generative AI Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Generative AI Sales Value, by Application (2019-2030)
4.2.3 Global Generative AI Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Generative AI Sales Value by Region
5.1.1 Global Generative AI Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Generative AI Sales Value by Region (2019-2024)
5.1.3 Global Generative AI Sales Value by Region (2025-2030)
5.1.4 Global Generative AI Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Generative AI Sales Value, 2019-2030
5.2.2 North America Generative AI Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Generative AI Sales Value, 2019-2030
5.3.2 Europe Generative AI Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Generative AI Sales Value, 2019-2030
5.4.2 Asia Pacific Generative AI Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Generative AI Sales Value, 2019-2030
5.5.2 South America Generative AI Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Generative AI Sales Value, 2019-2030
5.6.2 Middle East & Africa Generative AI Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Generative AI Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Generative AI Sales Value
6.3 United States
6.3.1 United States Generative AI Sales Value, 2019-2030
6.3.2 United States Generative AI Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Generative AI Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Generative AI Sales Value, 2019-2030
6.4.2 Europe Generative AI Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Generative AI Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Generative AI Sales Value, 2019-2030
6.5.2 China Generative AI Sales Value by Type (%), 2023 VS 2030
6.5.3 China Generative AI Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Generative AI Sales Value, 2019-2030
6.6.2 Japan Generative AI Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Generative AI Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Generative AI Sales Value, 2019-2030
6.7.2 South Korea Generative AI Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Generative AI Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Generative AI Sales Value, 2019-2030
6.8.2 Southeast Asia Generative AI Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Generative AI Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Generative AI Sales Value, 2019-2030
6.9.2 India Generative AI Sales Value by Type (%), 2023 VS 2030
6.9.3 India Generative AI Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google Generative AI Products, Services and Solutions
7.1.4 Google Generative AI Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Meta
7.2.1 Meta Profile
7.2.2 Meta Main Business
7.2.3 Meta Generative AI Products, Services and Solutions
7.2.4 Meta Generative AI Revenue (US$ Million) & (2019-2024)
7.2.5 Meta Recent Developments
7.3 OpenAI
7.3.1 OpenAI Profile
7.3.2 OpenAI Main Business
7.3.3 OpenAI Generative AI Products, Services and Solutions
7.3.4 OpenAI Generative AI Revenue (US$ Million) & (2019-2024)
7.3.5 Stability AI Recent Developments
7.4 Stability AI
7.4.1 Stability AI Profile
7.4.2 Stability AI Main Business
7.4.3 Stability AI Generative AI Products, Services and Solutions
7.4.4 Stability AI Generative AI Revenue (US$ Million) & (2019-2024)
7.4.5 Stability AI Recent Developments
7.5 Baidu
7.5.1 Baidu Profile
7.5.2 Baidu Main Business
7.5.3 Baidu Generative AI Products, Services and Solutions
7.5.4 Baidu Generative AI Revenue (US$ Million) & (2019-2024)
7.5.5 Baidu Recent Developments
7.6 Microsoft
7.6.1 Microsoft Profile
7.6.2 Microsoft Main Business
7.6.3 Microsoft Generative AI Products, Services and Solutions
7.6.4 Microsoft Generative AI Revenue (US$ Million) & (2019-2024)
7.6.5 Microsoft Recent Developments
8 Industry Chain Analysis
8.1 Generative AI Industrial Chain
8.2 Generative AI Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Generative AI Sales Model
8.5.2 Sales Channel
8.5.3 Generative AI Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Google
Meta
OpenAI
Stability AI
Baidu
Microsoft
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*If Applicable.
