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The global market for Generative AI was valued at US$ 33290 million in the year 2024 and is projected to reach a revised size of US$ 214640 million by 2031, growing at a CAGR of 32.6% during the forecast 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 aims to provide a comprehensive presentation of the global market for Generative AI, 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.
The Generative AI market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Generative AI market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Google
Meta
OpenAI
Stability AI
Baidu
Microsoft
Anthropic
IBM Watson
Amazon Web Services (AWS)
Cohere
Mistral
Replika
Jasper
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
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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