Global Generative AI Market

Generative AI Comprehensive Study by Application (Content Creation, Designing, Chat Responses, Research & Development, Others), Component Type (Solution, Services), Technology Type (Generative Adversarial Network, Transformer-Based, Variational Autoencoder, Diffusion Network), Deployment (Cloud Based, On-Premises), End User (Healthcare, Media & Entertainment, BFSI, Retail, Architectural, Legal Firms, Others) Players and Region - Global Market Outlook to 2028

Generative AI Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Generative AI Market Scope
Generative AI is a set of algorithms that can generate new, realistic content such as text, images, or audio from training data. The most powerful generative AI algorithms are built on base models trained on vast amounts of self-supervised unlabelled data to identify underlying patterns across a wide range of tasks. These are built with the help of different technology namely generative adversarial network, transformer-based, variational autoencoder, diffusion network. Increasing demand for generative AI to Improve Efficiency and Quality of Content in Minimum Period of Time and increasing popularity of chatGPT, rise the demand for generative AI market

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledMicrosoft Corporation (United States), Google AI (United States), Open AI (United States), IBM Corporation (United States), Adobe (United States), Insilico Medicine (Hong Kong), Rephrase.ai (United States), Synthesis AI (United States), Mostly AI (Austria) and Genei AI (United Kingdom)
CAGR%


Generative AI market is a fragmented market due to the presence of various players. The players are focusing on developing innovative services and solutions to improve quality, enhances and promotes performance. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launch, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Generative AI market throughout the predicted period.

Microsoft Corporation (United States), Google AI (United States), Open AI (United States), IBM Corporation (United States), Adobe (United States), Insilico Medicine (Hong Kong), Rephrase.ai (United States), Synthesis AI (United States), Mostly AI (Austria) and Genei AI (United Kingdom) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Veesual AI (France), Poly AI (United Kingdom), Bertha AI (United States), Sana Labs (Sweden) and Tavus (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global Generative AI market by Type , by Application (Content Creation, Designing, Chat Responses, Research & Development and Others) and Region with country level break-up.

On the basis of geography, the market of Generative AI has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Southeast Asia, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). region held largest market share in the year 2022.

Market Leaders and their expansionary development strategies
In February 2023, Google invested 300 million USD in artificial intelligence in Anthropic. Under this agreement Google acquired 10% stake in start-up and enhanced Anthropic’s finance by buying computer resources from Search Company’s cloud computing division. This acquisition was done to strengthened Google presence in Generative AI market
In April 2023, AWS launched new AWS Generative AI Accelerator. It is 10 week program customise for generative AI start-ups. This launch is helpful for artist and creators to complete critical tasks of composition, stylization, imprinting, motion tracking, among others. This launch helped AWS to expand its presence in generative AI market


Influencing Trend:
Increasing Demand for Image, Video and Audio Generation through Generative AI

Market Growth Drivers:
Increasing Demand for Generative AI to Improve Efficiency and Quality of Content in Minimum Period of Time and Rising Demand for Generative AI across various Industries

Challenges:
Increasing Concerns related to Data Thefts and Privacy

Restraints:
High Cost Related to Developing and Deploying Generative AI Models

Opportunities:
Increasing technological advancements in generative AI and Growing Applications of Generative AI in Healthcare Industry

Key Target Audience
Generative AI Providing Companies, Government Bodies, Regulatory Bodies, Potential Investors, Research and Development Institutes, End Users and Others

Report Objectives / Segmentation Covered

By Application
  • Content Creation
  • Designing
  • Chat Responses
  • Research & Development
  • Others
By Component Type
  • Solution
  • Services

By Technology Type
  • Generative Adversarial Network
  • Transformer-Based
  • Variational Autoencoder
  • Diffusion Network

By Deployment
  • Cloud Based
  • On-Premises

By End User
  • Healthcare
  • Media & Entertainment
  • BFSI
  • Retail
  • Architectural
  • Legal Firms
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing Demand for Generative AI to Improve Efficiency and Quality of Content in Minimum Period of Time
      • 3.2.2. Rising Demand for Generative AI across various Industries
    • 3.3. Market Challenges
      • 3.3.1. Increasing Concerns related to Data Thefts and Privacy
    • 3.4. Market Trends
      • 3.4.1. Increasing Demand for Image, Video and Audio Generation through Generative AI
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Generative AI, by Application, Component Type, Technology Type, Deployment , End User and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Generative AI (Value)
      • 5.2.1. Global Generative AI by: Application (Value)
        • 5.2.1.1. Content Creation
        • 5.2.1.2. Designing
        • 5.2.1.3. Chat Responses
        • 5.2.1.4. Research & Development
        • 5.2.1.5. Others
      • 5.2.2. Global Generative AI by: Component Type (Value)
        • 5.2.2.1. Solution
        • 5.2.2.2. Services
      • 5.2.3. Global Generative AI by: Technology Type (Value)
        • 5.2.3.1. Generative Adversarial Network
        • 5.2.3.2. Transformer-Based
        • 5.2.3.3. Variational Autoencoder
        • 5.2.3.4. Diffusion Network
      • 5.2.4. Global Generative AI by: End User (Value)
        • 5.2.4.1. Healthcare
        • 5.2.4.2. Media & Entertainment
        • 5.2.4.3. BFSI
        • 5.2.4.4. Retail
        • 5.2.4.5. Architectural
        • 5.2.4.6. Legal Firms
        • 5.2.4.7. Others
      • 5.2.5. Global Generative AI Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Southeast Asia
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Generative AI: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Google AI (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Open AI (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. IBM Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Adobe (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Insilico Medicine (Hong Kong)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Rephrase.ai (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Synthesis AI (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Mostly AI (Austria)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Genei AI (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Generative AI Sale, by Application, Component Type, Technology Type, Deployment , End User and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Generative AI (Value)
      • 7.2.1. Global Generative AI by: Application (Value)
        • 7.2.1.1. Content Creation
        • 7.2.1.2. Designing
        • 7.2.1.3. Chat Responses
        • 7.2.1.4. Research & Development
        • 7.2.1.5. Others
      • 7.2.2. Global Generative AI by: Component Type (Value)
        • 7.2.2.1. Solution
        • 7.2.2.2. Services
      • 7.2.3. Global Generative AI by: Technology Type (Value)
        • 7.2.3.1. Generative Adversarial Network
        • 7.2.3.2. Transformer-Based
        • 7.2.3.3. Variational Autoencoder
        • 7.2.3.4. Diffusion Network
      • 7.2.4. Global Generative AI by: End User (Value)
        • 7.2.4.1. Healthcare
        • 7.2.4.2. Media & Entertainment
        • 7.2.4.3. BFSI
        • 7.2.4.4. Retail
        • 7.2.4.5. Architectural
        • 7.2.4.6. Legal Firms
        • 7.2.4.7. Others
      • 7.2.5. Global Generative AI Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Southeast Asia
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Generative AI: by Application(USD Million)
  • Table 2. Generative AI Content Creation , by Region USD Million (2017-2022)
  • Table 3. Generative AI Designing , by Region USD Million (2017-2022)
  • Table 4. Generative AI Chat Responses , by Region USD Million (2017-2022)
  • Table 5. Generative AI Research & Development , by Region USD Million (2017-2022)
  • Table 6. Generative AI Others , by Region USD Million (2017-2022)
  • Table 7. Generative AI: by Component Type(USD Million)
  • Table 8. Generative AI Solution , by Region USD Million (2017-2022)
  • Table 9. Generative AI Services , by Region USD Million (2017-2022)
  • Table 10. Generative AI: by Technology Type(USD Million)
  • Table 11. Generative AI Generative Adversarial Network , by Region USD Million (2017-2022)
  • Table 12. Generative AI Transformer-Based , by Region USD Million (2017-2022)
  • Table 13. Generative AI Variational Autoencoder , by Region USD Million (2017-2022)
  • Table 14. Generative AI Diffusion Network , by Region USD Million (2017-2022)
  • Table 15. Generative AI: by End User(USD Million)
  • Table 16. Generative AI Healthcare , by Region USD Million (2017-2022)
  • Table 17. Generative AI Media & Entertainment , by Region USD Million (2017-2022)
  • Table 18. Generative AI BFSI , by Region USD Million (2017-2022)
  • Table 19. Generative AI Retail , by Region USD Million (2017-2022)
  • Table 20. Generative AI Architectural , by Region USD Million (2017-2022)
  • Table 21. Generative AI Legal Firms , by Region USD Million (2017-2022)
  • Table 22. Generative AI Others , by Region USD Million (2017-2022)
  • Table 23. South America Generative AI, by Country USD Million (2017-2022)
  • Table 24. South America Generative AI, by Application USD Million (2017-2022)
  • Table 25. South America Generative AI, by Component Type USD Million (2017-2022)
  • Table 26. South America Generative AI, by Technology Type USD Million (2017-2022)
  • Table 27. South America Generative AI, by Deployment USD Million (2017-2022)
  • Table 28. South America Generative AI, by End User USD Million (2017-2022)
  • Table 29. Brazil Generative AI, by Application USD Million (2017-2022)
  • Table 30. Brazil Generative AI, by Component Type USD Million (2017-2022)
  • Table 31. Brazil Generative AI, by Technology Type USD Million (2017-2022)
  • Table 32. Brazil Generative AI, by Deployment USD Million (2017-2022)
  • Table 33. Brazil Generative AI, by End User USD Million (2017-2022)
  • Table 34. Argentina Generative AI, by Application USD Million (2017-2022)
  • Table 35. Argentina Generative AI, by Component Type USD Million (2017-2022)
  • Table 36. Argentina Generative AI, by Technology Type USD Million (2017-2022)
  • Table 37. Argentina Generative AI, by Deployment USD Million (2017-2022)
  • Table 38. Argentina Generative AI, by End User USD Million (2017-2022)
  • Table 39. Rest of South America Generative AI, by Application USD Million (2017-2022)
  • Table 40. Rest of South America Generative AI, by Component Type USD Million (2017-2022)
  • Table 41. Rest of South America Generative AI, by Technology Type USD Million (2017-2022)
  • Table 42. Rest of South America Generative AI, by Deployment USD Million (2017-2022)
  • Table 43. Rest of South America Generative AI, by End User USD Million (2017-2022)
  • Table 44. Asia Pacific Generative AI, by Country USD Million (2017-2022)
  • Table 45. Asia Pacific Generative AI, by Application USD Million (2017-2022)
  • Table 46. Asia Pacific Generative AI, by Component Type USD Million (2017-2022)
  • Table 47. Asia Pacific Generative AI, by Technology Type USD Million (2017-2022)
  • Table 48. Asia Pacific Generative AI, by Deployment USD Million (2017-2022)
  • Table 49. Asia Pacific Generative AI, by End User USD Million (2017-2022)
  • Table 50. China Generative AI, by Application USD Million (2017-2022)
  • Table 51. China Generative AI, by Component Type USD Million (2017-2022)
  • Table 52. China Generative AI, by Technology Type USD Million (2017-2022)
  • Table 53. China Generative AI, by Deployment USD Million (2017-2022)
  • Table 54. China Generative AI, by End User USD Million (2017-2022)
  • Table 55. Japan Generative AI, by Application USD Million (2017-2022)
  • Table 56. Japan Generative AI, by Component Type USD Million (2017-2022)
  • Table 57. Japan Generative AI, by Technology Type USD Million (2017-2022)
  • Table 58. Japan Generative AI, by Deployment USD Million (2017-2022)
  • Table 59. Japan Generative AI, by End User USD Million (2017-2022)
  • Table 60. India Generative AI, by Application USD Million (2017-2022)
  • Table 61. India Generative AI, by Component Type USD Million (2017-2022)
  • Table 62. India Generative AI, by Technology Type USD Million (2017-2022)
  • Table 63. India Generative AI, by Deployment USD Million (2017-2022)
  • Table 64. India Generative AI, by End User USD Million (2017-2022)
  • Table 65. South Korea Generative AI, by Application USD Million (2017-2022)
  • Table 66. South Korea Generative AI, by Component Type USD Million (2017-2022)
  • Table 67. South Korea Generative AI, by Technology Type USD Million (2017-2022)
  • Table 68. South Korea Generative AI, by Deployment USD Million (2017-2022)
  • Table 69. South Korea Generative AI, by End User USD Million (2017-2022)
  • Table 70. Southeast Asia Generative AI, by Application USD Million (2017-2022)
  • Table 71. Southeast Asia Generative AI, by Component Type USD Million (2017-2022)
  • Table 72. Southeast Asia Generative AI, by Technology Type USD Million (2017-2022)
  • Table 73. Southeast Asia Generative AI, by Deployment USD Million (2017-2022)
  • Table 74. Southeast Asia Generative AI, by End User USD Million (2017-2022)
  • Table 75. Australia Generative AI, by Application USD Million (2017-2022)
  • Table 76. Australia Generative AI, by Component Type USD Million (2017-2022)
  • Table 77. Australia Generative AI, by Technology Type USD Million (2017-2022)
  • Table 78. Australia Generative AI, by Deployment USD Million (2017-2022)
  • Table 79. Australia Generative AI, by End User USD Million (2017-2022)
  • Table 80. Rest of Asia-Pacific Generative AI, by Application USD Million (2017-2022)
  • Table 81. Rest of Asia-Pacific Generative AI, by Component Type USD Million (2017-2022)
  • Table 82. Rest of Asia-Pacific Generative AI, by Technology Type USD Million (2017-2022)
  • Table 83. Rest of Asia-Pacific Generative AI, by Deployment USD Million (2017-2022)
  • Table 84. Rest of Asia-Pacific Generative AI, by End User USD Million (2017-2022)
  • Table 85. Europe Generative AI, by Country USD Million (2017-2022)
  • Table 86. Europe Generative AI, by Application USD Million (2017-2022)
  • Table 87. Europe Generative AI, by Component Type USD Million (2017-2022)
  • Table 88. Europe Generative AI, by Technology Type USD Million (2017-2022)
  • Table 89. Europe Generative AI, by Deployment USD Million (2017-2022)
  • Table 90. Europe Generative AI, by End User USD Million (2017-2022)
  • Table 91. Germany Generative AI, by Application USD Million (2017-2022)
  • Table 92. Germany Generative AI, by Component Type USD Million (2017-2022)
  • Table 93. Germany Generative AI, by Technology Type USD Million (2017-2022)
  • Table 94. Germany Generative AI, by Deployment USD Million (2017-2022)
  • Table 95. Germany Generative AI, by End User USD Million (2017-2022)
  • Table 96. France Generative AI, by Application USD Million (2017-2022)
  • Table 97. France Generative AI, by Component Type USD Million (2017-2022)
  • Table 98. France Generative AI, by Technology Type USD Million (2017-2022)
  • Table 99. France Generative AI, by Deployment USD Million (2017-2022)
  • Table 100. France Generative AI, by End User USD Million (2017-2022)
  • Table 101. Italy Generative AI, by Application USD Million (2017-2022)
  • Table 102. Italy Generative AI, by Component Type USD Million (2017-2022)
  • Table 103. Italy Generative AI, by Technology Type USD Million (2017-2022)
  • Table 104. Italy Generative AI, by Deployment USD Million (2017-2022)
  • Table 105. Italy Generative AI, by End User USD Million (2017-2022)
  • Table 106. United Kingdom Generative AI, by Application USD Million (2017-2022)
  • Table 107. United Kingdom Generative AI, by Component Type USD Million (2017-2022)
  • Table 108. United Kingdom Generative AI, by Technology Type USD Million (2017-2022)
  • Table 109. United Kingdom Generative AI, by Deployment USD Million (2017-2022)
  • Table 110. United Kingdom Generative AI, by End User USD Million (2017-2022)
  • Table 111. Netherlands Generative AI, by Application USD Million (2017-2022)
  • Table 112. Netherlands Generative AI, by Component Type USD Million (2017-2022)
  • Table 113. Netherlands Generative AI, by Technology Type USD Million (2017-2022)
  • Table 114. Netherlands Generative AI, by Deployment USD Million (2017-2022)
  • Table 115. Netherlands Generative AI, by End User USD Million (2017-2022)
  • Table 116. Rest of Europe Generative AI, by Application USD Million (2017-2022)
  • Table 117. Rest of Europe Generative AI, by Component Type USD Million (2017-2022)
  • Table 118. Rest of Europe Generative AI, by Technology Type USD Million (2017-2022)
  • Table 119. Rest of Europe Generative AI, by Deployment USD Million (2017-2022)
  • Table 120. Rest of Europe Generative AI, by End User USD Million (2017-2022)
  • Table 121. MEA Generative AI, by Country USD Million (2017-2022)
  • Table 122. MEA Generative AI, by Application USD Million (2017-2022)
  • Table 123. MEA Generative AI, by Component Type USD Million (2017-2022)
  • Table 124. MEA Generative AI, by Technology Type USD Million (2017-2022)
  • Table 125. MEA Generative AI, by Deployment USD Million (2017-2022)
  • Table 126. MEA Generative AI, by End User USD Million (2017-2022)
  • Table 127. Middle East Generative AI, by Application USD Million (2017-2022)
  • Table 128. Middle East Generative AI, by Component Type USD Million (2017-2022)
  • Table 129. Middle East Generative AI, by Technology Type USD Million (2017-2022)
  • Table 130. Middle East Generative AI, by Deployment USD Million (2017-2022)
  • Table 131. Middle East Generative AI, by End User USD Million (2017-2022)
  • Table 132. Africa Generative AI, by Application USD Million (2017-2022)
  • Table 133. Africa Generative AI, by Component Type USD Million (2017-2022)
  • Table 134. Africa Generative AI, by Technology Type USD Million (2017-2022)
  • Table 135. Africa Generative AI, by Deployment USD Million (2017-2022)
  • Table 136. Africa Generative AI, by End User USD Million (2017-2022)
  • Table 137. North America Generative AI, by Country USD Million (2017-2022)
  • Table 138. North America Generative AI, by Application USD Million (2017-2022)
  • Table 139. North America Generative AI, by Component Type USD Million (2017-2022)
  • Table 140. North America Generative AI, by Technology Type USD Million (2017-2022)
  • Table 141. North America Generative AI, by Deployment USD Million (2017-2022)
  • Table 142. North America Generative AI, by End User USD Million (2017-2022)
  • Table 143. United States Generative AI, by Application USD Million (2017-2022)
  • Table 144. United States Generative AI, by Component Type USD Million (2017-2022)
  • Table 145. United States Generative AI, by Technology Type USD Million (2017-2022)
  • Table 146. United States Generative AI, by Deployment USD Million (2017-2022)
  • Table 147. United States Generative AI, by End User USD Million (2017-2022)
  • Table 148. Canada Generative AI, by Application USD Million (2017-2022)
  • Table 149. Canada Generative AI, by Component Type USD Million (2017-2022)
  • Table 150. Canada Generative AI, by Technology Type USD Million (2017-2022)
  • Table 151. Canada Generative AI, by Deployment USD Million (2017-2022)
  • Table 152. Canada Generative AI, by End User USD Million (2017-2022)
  • Table 153. Mexico Generative AI, by Application USD Million (2017-2022)
  • Table 154. Mexico Generative AI, by Component Type USD Million (2017-2022)
  • Table 155. Mexico Generative AI, by Technology Type USD Million (2017-2022)
  • Table 156. Mexico Generative AI, by Deployment USD Million (2017-2022)
  • Table 157. Mexico Generative AI, by End User USD Million (2017-2022)
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Generative AI: by Application(USD Million)
  • Table 169. Generative AI Content Creation , by Region USD Million (2023-2028)
  • Table 170. Generative AI Designing , by Region USD Million (2023-2028)
  • Table 171. Generative AI Chat Responses , by Region USD Million (2023-2028)
  • Table 172. Generative AI Research & Development , by Region USD Million (2023-2028)
  • Table 173. Generative AI Others , by Region USD Million (2023-2028)
  • Table 174. Generative AI: by Component Type(USD Million)
  • Table 175. Generative AI Solution , by Region USD Million (2023-2028)
  • Table 176. Generative AI Services , by Region USD Million (2023-2028)
  • Table 177. Generative AI: by Technology Type(USD Million)
  • Table 178. Generative AI Generative Adversarial Network , by Region USD Million (2023-2028)
  • Table 179. Generative AI Transformer-Based , by Region USD Million (2023-2028)
  • Table 180. Generative AI Variational Autoencoder , by Region USD Million (2023-2028)
  • Table 181. Generative AI Diffusion Network , by Region USD Million (2023-2028)
  • Table 182. Generative AI: by End User(USD Million)
  • Table 183. Generative AI Healthcare , by Region USD Million (2023-2028)
  • Table 184. Generative AI Media & Entertainment , by Region USD Million (2023-2028)
  • Table 185. Generative AI BFSI , by Region USD Million (2023-2028)
  • Table 186. Generative AI Retail , by Region USD Million (2023-2028)
  • Table 187. Generative AI Architectural , by Region USD Million (2023-2028)
  • Table 188. Generative AI Legal Firms , by Region USD Million (2023-2028)
  • Table 189. Generative AI Others , by Region USD Million (2023-2028)
  • Table 190. South America Generative AI, by Country USD Million (2023-2028)
  • Table 191. South America Generative AI, by Application USD Million (2023-2028)
  • Table 192. South America Generative AI, by Component Type USD Million (2023-2028)
  • Table 193. South America Generative AI, by Technology Type USD Million (2023-2028)
  • Table 194. South America Generative AI, by Deployment USD Million (2023-2028)
  • Table 195. South America Generative AI, by End User USD Million (2023-2028)
  • Table 196. Brazil Generative AI, by Application USD Million (2023-2028)
  • Table 197. Brazil Generative AI, by Component Type USD Million (2023-2028)
  • Table 198. Brazil Generative AI, by Technology Type USD Million (2023-2028)
  • Table 199. Brazil Generative AI, by Deployment USD Million (2023-2028)
  • Table 200. Brazil Generative AI, by End User USD Million (2023-2028)
  • Table 201. Argentina Generative AI, by Application USD Million (2023-2028)
  • Table 202. Argentina Generative AI, by Component Type USD Million (2023-2028)
  • Table 203. Argentina Generative AI, by Technology Type USD Million (2023-2028)
  • Table 204. Argentina Generative AI, by Deployment USD Million (2023-2028)
  • Table 205. Argentina Generative AI, by End User USD Million (2023-2028)
  • Table 206. Rest of South America Generative AI, by Application USD Million (2023-2028)
  • Table 207. Rest of South America Generative AI, by Component Type USD Million (2023-2028)
  • Table 208. Rest of South America Generative AI, by Technology Type USD Million (2023-2028)
  • Table 209. Rest of South America Generative AI, by Deployment USD Million (2023-2028)
  • Table 210. Rest of South America Generative AI, by End User USD Million (2023-2028)
  • Table 211. Asia Pacific Generative AI, by Country USD Million (2023-2028)
  • Table 212. Asia Pacific Generative AI, by Application USD Million (2023-2028)
  • Table 213. Asia Pacific Generative AI, by Component Type USD Million (2023-2028)
  • Table 214. Asia Pacific Generative AI, by Technology Type USD Million (2023-2028)
  • Table 215. Asia Pacific Generative AI, by Deployment USD Million (2023-2028)
  • Table 216. Asia Pacific Generative AI, by End User USD Million (2023-2028)
  • Table 217. China Generative AI, by Application USD Million (2023-2028)
  • Table 218. China Generative AI, by Component Type USD Million (2023-2028)
  • Table 219. China Generative AI, by Technology Type USD Million (2023-2028)
  • Table 220. China Generative AI, by Deployment USD Million (2023-2028)
  • Table 221. China Generative AI, by End User USD Million (2023-2028)
  • Table 222. Japan Generative AI, by Application USD Million (2023-2028)
  • Table 223. Japan Generative AI, by Component Type USD Million (2023-2028)
  • Table 224. Japan Generative AI, by Technology Type USD Million (2023-2028)
  • Table 225. Japan Generative AI, by Deployment USD Million (2023-2028)
  • Table 226. Japan Generative AI, by End User USD Million (2023-2028)
  • Table 227. India Generative AI, by Application USD Million (2023-2028)
  • Table 228. India Generative AI, by Component Type USD Million (2023-2028)
  • Table 229. India Generative AI, by Technology Type USD Million (2023-2028)
  • Table 230. India Generative AI, by Deployment USD Million (2023-2028)
  • Table 231. India Generative AI, by End User USD Million (2023-2028)
  • Table 232. South Korea Generative AI, by Application USD Million (2023-2028)
  • Table 233. South Korea Generative AI, by Component Type USD Million (2023-2028)
  • Table 234. South Korea Generative AI, by Technology Type USD Million (2023-2028)
  • Table 235. South Korea Generative AI, by Deployment USD Million (2023-2028)
  • Table 236. South Korea Generative AI, by End User USD Million (2023-2028)
  • Table 237. Southeast Asia Generative AI, by Application USD Million (2023-2028)
  • Table 238. Southeast Asia Generative AI, by Component Type USD Million (2023-2028)
  • Table 239. Southeast Asia Generative AI, by Technology Type USD Million (2023-2028)
  • Table 240. Southeast Asia Generative AI, by Deployment USD Million (2023-2028)
  • Table 241. Southeast Asia Generative AI, by End User USD Million (2023-2028)
  • Table 242. Australia Generative AI, by Application USD Million (2023-2028)
  • Table 243. Australia Generative AI, by Component Type USD Million (2023-2028)
  • Table 244. Australia Generative AI, by Technology Type USD Million (2023-2028)
  • Table 245. Australia Generative AI, by Deployment USD Million (2023-2028)
  • Table 246. Australia Generative AI, by End User USD Million (2023-2028)
  • Table 247. Rest of Asia-Pacific Generative AI, by Application USD Million (2023-2028)
  • Table 248. Rest of Asia-Pacific Generative AI, by Component Type USD Million (2023-2028)
  • Table 249. Rest of Asia-Pacific Generative AI, by Technology Type USD Million (2023-2028)
  • Table 250. Rest of Asia-Pacific Generative AI, by Deployment USD Million (2023-2028)
  • Table 251. Rest of Asia-Pacific Generative AI, by End User USD Million (2023-2028)
  • Table 252. Europe Generative AI, by Country USD Million (2023-2028)
  • Table 253. Europe Generative AI, by Application USD Million (2023-2028)
  • Table 254. Europe Generative AI, by Component Type USD Million (2023-2028)
  • Table 255. Europe Generative AI, by Technology Type USD Million (2023-2028)
  • Table 256. Europe Generative AI, by Deployment USD Million (2023-2028)
  • Table 257. Europe Generative AI, by End User USD Million (2023-2028)
  • Table 258. Germany Generative AI, by Application USD Million (2023-2028)
  • Table 259. Germany Generative AI, by Component Type USD Million (2023-2028)
  • Table 260. Germany Generative AI, by Technology Type USD Million (2023-2028)
  • Table 261. Germany Generative AI, by Deployment USD Million (2023-2028)
  • Table 262. Germany Generative AI, by End User USD Million (2023-2028)
  • Table 263. France Generative AI, by Application USD Million (2023-2028)
  • Table 264. France Generative AI, by Component Type USD Million (2023-2028)
  • Table 265. France Generative AI, by Technology Type USD Million (2023-2028)
  • Table 266. France Generative AI, by Deployment USD Million (2023-2028)
  • Table 267. France Generative AI, by End User USD Million (2023-2028)
  • Table 268. Italy Generative AI, by Application USD Million (2023-2028)
  • Table 269. Italy Generative AI, by Component Type USD Million (2023-2028)
  • Table 270. Italy Generative AI, by Technology Type USD Million (2023-2028)
  • Table 271. Italy Generative AI, by Deployment USD Million (2023-2028)
  • Table 272. Italy Generative AI, by End User USD Million (2023-2028)
  • Table 273. United Kingdom Generative AI, by Application USD Million (2023-2028)
  • Table 274. United Kingdom Generative AI, by Component Type USD Million (2023-2028)
  • Table 275. United Kingdom Generative AI, by Technology Type USD Million (2023-2028)
  • Table 276. United Kingdom Generative AI, by Deployment USD Million (2023-2028)
  • Table 277. United Kingdom Generative AI, by End User USD Million (2023-2028)
  • Table 278. Netherlands Generative AI, by Application USD Million (2023-2028)
  • Table 279. Netherlands Generative AI, by Component Type USD Million (2023-2028)
  • Table 280. Netherlands Generative AI, by Technology Type USD Million (2023-2028)
  • Table 281. Netherlands Generative AI, by Deployment USD Million (2023-2028)
  • Table 282. Netherlands Generative AI, by End User USD Million (2023-2028)
  • Table 283. Rest of Europe Generative AI, by Application USD Million (2023-2028)
  • Table 284. Rest of Europe Generative AI, by Component Type USD Million (2023-2028)
  • Table 285. Rest of Europe Generative AI, by Technology Type USD Million (2023-2028)
  • Table 286. Rest of Europe Generative AI, by Deployment USD Million (2023-2028)
  • Table 287. Rest of Europe Generative AI, by End User USD Million (2023-2028)
  • Table 288. MEA Generative AI, by Country USD Million (2023-2028)
  • Table 289. MEA Generative AI, by Application USD Million (2023-2028)
  • Table 290. MEA Generative AI, by Component Type USD Million (2023-2028)
  • Table 291. MEA Generative AI, by Technology Type USD Million (2023-2028)
  • Table 292. MEA Generative AI, by Deployment USD Million (2023-2028)
  • Table 293. MEA Generative AI, by End User USD Million (2023-2028)
  • Table 294. Middle East Generative AI, by Application USD Million (2023-2028)
  • Table 295. Middle East Generative AI, by Component Type USD Million (2023-2028)
  • Table 296. Middle East Generative AI, by Technology Type USD Million (2023-2028)
  • Table 297. Middle East Generative AI, by Deployment USD Million (2023-2028)
  • Table 298. Middle East Generative AI, by End User USD Million (2023-2028)
  • Table 299. Africa Generative AI, by Application USD Million (2023-2028)
  • Table 300. Africa Generative AI, by Component Type USD Million (2023-2028)
  • Table 301. Africa Generative AI, by Technology Type USD Million (2023-2028)
  • Table 302. Africa Generative AI, by Deployment USD Million (2023-2028)
  • Table 303. Africa Generative AI, by End User USD Million (2023-2028)
  • Table 304. North America Generative AI, by Country USD Million (2023-2028)
  • Table 305. North America Generative AI, by Application USD Million (2023-2028)
  • Table 306. North America Generative AI, by Component Type USD Million (2023-2028)
  • Table 307. North America Generative AI, by Technology Type USD Million (2023-2028)
  • Table 308. North America Generative AI, by Deployment USD Million (2023-2028)
  • Table 309. North America Generative AI, by End User USD Million (2023-2028)
  • Table 310. United States Generative AI, by Application USD Million (2023-2028)
  • Table 311. United States Generative AI, by Component Type USD Million (2023-2028)
  • Table 312. United States Generative AI, by Technology Type USD Million (2023-2028)
  • Table 313. United States Generative AI, by Deployment USD Million (2023-2028)
  • Table 314. United States Generative AI, by End User USD Million (2023-2028)
  • Table 315. Canada Generative AI, by Application USD Million (2023-2028)
  • Table 316. Canada Generative AI, by Component Type USD Million (2023-2028)
  • Table 317. Canada Generative AI, by Technology Type USD Million (2023-2028)
  • Table 318. Canada Generative AI, by Deployment USD Million (2023-2028)
  • Table 319. Canada Generative AI, by End User USD Million (2023-2028)
  • Table 320. Mexico Generative AI, by Application USD Million (2023-2028)
  • Table 321. Mexico Generative AI, by Component Type USD Million (2023-2028)
  • Table 322. Mexico Generative AI, by Technology Type USD Million (2023-2028)
  • Table 323. Mexico Generative AI, by Deployment USD Million (2023-2028)
  • Table 324. Mexico Generative AI, by End User USD Million (2023-2028)
  • Table 325. Research Programs/Design for This Report
  • Table 326. Key Data Information from Secondary Sources
  • Table 327. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Generative AI: by Application USD Million (2017-2022)
  • Figure 5. Global Generative AI: by Component Type USD Million (2017-2022)
  • Figure 6. Global Generative AI: by Technology Type USD Million (2017-2022)
  • Figure 7. Global Generative AI: by End User USD Million (2017-2022)
  • Figure 8. South America Generative AI Share (%), by Country
  • Figure 9. Asia Pacific Generative AI Share (%), by Country
  • Figure 10. Europe Generative AI Share (%), by Country
  • Figure 11. MEA Generative AI Share (%), by Country
  • Figure 12. North America Generative AI Share (%), by Country
  • Figure 13. Global Generative AI share by Players 2022 (%)
  • Figure 14. Global Generative AI share by Players (Top 3) 2022(%)
  • Figure 15. Global Generative AI share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 19. Google AI (United States) Revenue, Net Income and Gross profit
  • Figure 20. Google AI (United States) Revenue: by Geography 2022
  • Figure 21. Open AI (United States) Revenue, Net Income and Gross profit
  • Figure 22. Open AI (United States) Revenue: by Geography 2022
  • Figure 23. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 25. Adobe (United States) Revenue, Net Income and Gross profit
  • Figure 26. Adobe (United States) Revenue: by Geography 2022
  • Figure 27. Insilico Medicine (Hong Kong) Revenue, Net Income and Gross profit
  • Figure 28. Insilico Medicine (Hong Kong) Revenue: by Geography 2022
  • Figure 29. Rephrase.ai (United States) Revenue, Net Income and Gross profit
  • Figure 30. Rephrase.ai (United States) Revenue: by Geography 2022
  • Figure 31. Synthesis AI (United States) Revenue, Net Income and Gross profit
  • Figure 32. Synthesis AI (United States) Revenue: by Geography 2022
  • Figure 33. Mostly AI (Austria) Revenue, Net Income and Gross profit
  • Figure 34. Mostly AI (Austria) Revenue: by Geography 2022
  • Figure 35. Genei AI (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 36. Genei AI (United Kingdom) Revenue: by Geography 2022
  • Figure 37. Global Generative AI: by Application USD Million (2023-2028)
  • Figure 38. Global Generative AI: by Component Type USD Million (2023-2028)
  • Figure 39. Global Generative AI: by Technology Type USD Million (2023-2028)
  • Figure 40. Global Generative AI: by End User USD Million (2023-2028)
  • Figure 41. South America Generative AI Share (%), by Country
  • Figure 42. Asia Pacific Generative AI Share (%), by Country
  • Figure 43. Europe Generative AI Share (%), by Country
  • Figure 44. MEA Generative AI Share (%), by Country
  • Figure 45. North America Generative AI Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Microsoft Corporation (United States)
  • Google AI (United States)
  • Open AI (United States)
  • IBM Corporation (United States)
  • Adobe (United States)
  • Insilico Medicine (Hong Kong)
  • Rephrase.ai (United States)
  • Synthesis AI (United States)
  • Mostly AI (Austria)
  • Genei AI (United Kingdom)
Additional players considered in the study are as follows:
Veesual AI (France) , Poly AI (United Kingdom) , Bertha AI (United States) , Sana Labs (Sweden) , Tavus (United States)
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Key Highlights of Report


Nov 2023 225 Pages 63 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Generative AI Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in Generative AI Market are by end use application [Content Creation, Designing, Chat Responses, Research & Development and Others].
The Generative AI Market is gaining popularity and expected to see strong valuation by 2028.
  • Increasing Demand for Generative AI to Improve Efficiency and Quality of Content in Minimum Period of Time
  • Rising Demand for Generative AI across various Industries

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