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Global Generative AI Engineering Market Outlook, In‑Depth Analysis & Forecast to 2031
Published Date: October 2025
|
Report Code: QYRE-Auto-3F17532
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Global Generative AI Engineering Market Research Report 2024
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Global Generative AI Engineering Market Outlook, In‑Depth Analysis & Forecast to 2031

Code: QYRE-Auto-3F17532
Report
October 2025
Pages:129
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
OpenAI
Google DeepMind
NVidia
Adobe
IBM
Microsoft
Facebook AI Research (FAIR)
Amazon Web Services (AWS)
Baidu
Huawei

Generative AI Engineering Market

The global Generative AI Engineering market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
Generative AI Engineering is a field that involves the design, development, and application of artificial intelligence models that can generate new content, such as text, images, music, and other forms of data. This involves various techniques and tools that enable AI systems to create new and original outputs based on learned patterns and inputs.
From a downstream perspective, SMEs accounted for % of 2024 revenue, surging to US$ million by 2031 (CAGR: % from 2025–2031).
Generative AI Engineering leading manufacturers including OpenAI, Google DeepMind, NVIDIA, Adobe, IBM, Microsoft, Facebook AI Research (FAIR), Amazon Web Services (AWS), Baidu, Huawei, etc., dominate supply; the top five capture approximately % of global revenue, with OpenAI leading 2024 sales at US$ million.
Regional Outlook:
North America rose from US$ million in 2024 to a forecast US$ million by 2031 (CAGR %).
Asia‑Pacific will expand from US$ million to US$ million (CAGR  %), led by China (US$ million in 2024, % share rising to % by 2031), Japan (CAGR %), South Korea (CAGR %), and Southeast Asia (CAGR %).
Europe is set to grow from US$ million to US$ million (CAGR %), with Germany projected to hit US$ million by 2031 (CAGR %).

Report Includes:

This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global Generative AI Engineering market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation

Scope of Generative AI Engineering Market Report

Report Metric Details
Report Name Generative AI Engineering Market
Segment by Type
Segment by Application
  • SMEs
  • Large Enterprises
Sales by Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company OpenAI, Google DeepMind, NVIDIA, Adobe, IBM, Microsoft, Facebook AI Research (FAIR), Amazon Web Services (AWS), Baidu, Huawei
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Defines the Generative AI Engineering study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
  • Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
  • Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
  • Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
  • Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
  • Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
  • Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
  • Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
  • Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
  • Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
  • Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
  • Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
  • Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
  • Chapter 14: Actionable conclusions and strategic recommendations.
  • Why This Report:
  • Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
  • Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
  • Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
  • Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
  • Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
  • Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

FAQ for this report

Who are the main players in the Generative AI Engineering Market report?

Ans: The main players in the Generative AI Engineering Market are OpenAI, Google DeepMind, NVIDIA, Adobe, IBM, Microsoft, Facebook AI Research (FAIR), Amazon Web Services (AWS), Baidu, Huawei

What are the Application segmentation covered in the Generative AI Engineering Market report?

Ans: The Applications covered in the Generative AI Engineering Market report are SMEs, Large Enterprises

What are the Type segmentation covered in the Generative AI Engineering Market report?

Ans: The Types covered in the Generative AI Engineering Market report are Text Generation Model, Image Generation Model, Audio Generation Model, Multimodal Generative Models

Recommended Reports

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1 Study Coverage
1.1 Introduction to Generative AI Engineering: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Generative AI Engineering Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Text Generation Model
1.2.3 Image Generation Model
1.2.4 Audio Generation Model
1.2.5 Multimodal Generative Models
1.3 Market Segmentation by Application
1.3.1 Global Generative AI Engineering Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Generative AI Engineering Revenue Estimates and Forecasts 2020-2031
2.2 Global Generative AI Engineering Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global Generative AI Engineering Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global Generative AI Engineering Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Text Generation Model Market Size by Players
3.3.2 Image Generation Model Market Size by Players
3.3.3 Audio Generation Model Market Size by Players
3.3.4 Multimodal Generative Models Market Size by Players
3.4 Global Generative AI Engineering Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global Generative AI Engineering Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global Generative AI Engineering Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America Generative AI Engineering Market Size by Type (2020-2031)
6.4 North America Generative AI Engineering Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America Generative AI Engineering Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe Generative AI Engineering Market Size by Type (2020-2031)
7.4 Europe Generative AI Engineering Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe Generative AI Engineering Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific Generative AI Engineering Market Size by Type (2020-2031)
8.4 Asia-Pacific Generative AI Engineering Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific Generative AI Engineering Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America Generative AI Engineering Market Size by Type (2020-2031)
9.4 Central and South America Generative AI Engineering Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America Generative AI Engineering Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa Generative AI Engineering Market Size by Type (2020-2031)
10.4 Middle East and Africa Generative AI Engineering Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa Generative AI Engineering Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 OpenAI
11.1.1 OpenAI Corporation Information
11.1.2 OpenAI Business Overview
11.1.3 OpenAI Generative AI Engineering Product Features and Attributes
11.1.4 OpenAI Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.1.5 OpenAI Generative AI Engineering Revenue by Product in 2024
11.1.6 OpenAI Generative AI Engineering Revenue by Application in 2024
11.1.7 OpenAI Generative AI Engineering Revenue by Geographic Area in 2024
11.1.8 OpenAI Generative AI Engineering SWOT Analysis
11.1.9 OpenAI Recent Developments
11.2 Google DeepMind
11.2.1 Google DeepMind Corporation Information
11.2.2 Google DeepMind Business Overview
11.2.3 Google DeepMind Generative AI Engineering Product Features and Attributes
11.2.4 Google DeepMind Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.2.5 Google DeepMind Generative AI Engineering Revenue by Product in 2024
11.2.6 Google DeepMind Generative AI Engineering Revenue by Application in 2024
11.2.7 Google DeepMind Generative AI Engineering Revenue by Geographic Area in 2024
11.2.8 Google DeepMind Generative AI Engineering SWOT Analysis
11.2.9 Google DeepMind Recent Developments
11.3 NVIDIA
11.3.1 NVIDIA Corporation Information
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Generative AI Engineering Product Features and Attributes
11.3.4 NVIDIA Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.3.5 NVIDIA Generative AI Engineering Revenue by Product in 2024
11.3.6 NVIDIA Generative AI Engineering Revenue by Application in 2024
11.3.7 NVIDIA Generative AI Engineering Revenue by Geographic Area in 2024
11.3.8 NVIDIA Generative AI Engineering SWOT Analysis
11.3.9 NVIDIA Recent Developments
11.4 Adobe
11.4.1 Adobe Corporation Information
11.4.2 Adobe Business Overview
11.4.3 Adobe Generative AI Engineering Product Features and Attributes
11.4.4 Adobe Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.4.5 Adobe Generative AI Engineering Revenue by Product in 2024
11.4.6 Adobe Generative AI Engineering Revenue by Application in 2024
11.4.7 Adobe Generative AI Engineering Revenue by Geographic Area in 2024
11.4.8 Adobe Generative AI Engineering SWOT Analysis
11.4.9 Adobe Recent Developments
11.5 IBM
11.5.1 IBM Corporation Information
11.5.2 IBM Business Overview
11.5.3 IBM Generative AI Engineering Product Features and Attributes
11.5.4 IBM Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.5.5 IBM Generative AI Engineering Revenue by Product in 2024
11.5.6 IBM Generative AI Engineering Revenue by Application in 2024
11.5.7 IBM Generative AI Engineering Revenue by Geographic Area in 2024
11.5.8 IBM Generative AI Engineering SWOT Analysis
11.5.9 IBM Recent Developments
11.6 Microsoft
11.6.1 Microsoft Corporation Information
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Generative AI Engineering Product Features and Attributes
11.6.4 Microsoft Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.6.5 Microsoft Recent Developments
11.7 Facebook AI Research (FAIR)
11.7.1 Facebook AI Research (FAIR) Corporation Information
11.7.2 Facebook AI Research (FAIR) Business Overview
11.7.3 Facebook AI Research (FAIR) Generative AI Engineering Product Features and Attributes
11.7.4 Facebook AI Research (FAIR) Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.7.5 Facebook AI Research (FAIR) Recent Developments
11.8 Amazon Web Services (AWS)
11.8.1 Amazon Web Services (AWS) Corporation Information
11.8.2 Amazon Web Services (AWS) Business Overview
11.8.3 Amazon Web Services (AWS) Generative AI Engineering Product Features and Attributes
11.8.4 Amazon Web Services (AWS) Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.8.5 Amazon Web Services (AWS) Recent Developments
11.9 Baidu
11.9.1 Baidu Corporation Information
11.9.2 Baidu Business Overview
11.9.3 Baidu Generative AI Engineering Product Features and Attributes
11.9.4 Baidu Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.9.5 Baidu Recent Developments
11.10 Huawei
11.10.1 Huawei Corporation Information
11.10.2 Huawei Business Overview
11.10.3 Huawei Generative AI Engineering Product Features and Attributes
11.10.4 Huawei Generative AI Engineering Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
12 Generative AI EngineeringIndustry Chain Analysis
12.1 Generative AI Engineering Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Generative AI Engineering Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Generative AI Engineering Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
FEATURED COMPANIES
OpenAI
Google DeepMind
NVidia
Adobe
IBM
Microsoft
Facebook AI Research (FAIR)
Amazon Web Services (AWS)
Baidu
Huawei
List of Tables
 Table 1. Global Generative AI Engineering Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Table 2. Global Generative AI Engineering Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Table 3. Global Generative AI Engineering Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 4. Global Generative AI Engineering Revenue by Region (2020-2025) & (US$ Million)
 Table 5. Global Generative AI Engineering Revenue by Region (2026-2031) & (US$ Million)
 Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 7. Global Generative AI Engineering Revenue by Players (2020-2025) & (US$ Million)
 Table 8. Global Generative AI Engineering Revenue Market Share by Players (2020-2025)
 Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
 Table 10. Global Generative AI Engineering by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Generative AI Engineering as of 2024)
 Table 11. Global Generative AI Engineering Average Gross Margin (%) by Player (2020 VS 2024)
 Table 12. Global Generative AI Engineering Companies Headquarters
 Table 13. Global Generative AI Engineering Market Concentration Ratio (CR5 and HHI)
 Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
 Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
 Table 16. Global Generative AI Engineering Revenue by Type (2020-2025) & (US$ Million)
 Table 17. Global Generative AI Engineering Revenue by Type (2026-2031) & (US$ Million)
 Table 18. Key Product Attributes and Differentiation
 Table 19. Global Generative AI Engineering Revenue by Application (2020-2025) & (US$ Million)
 Table 20. Global Generative AI Engineering Revenue by Application (2026-2031) & (US$ Million)
 Table 21. Generative AI Engineering High-Growth Sectors Demand CAGR (2024-2031)
 Table 22. Top Customers by Region
 Table 23. Top Customers by Application
 Table 24. North America Generative AI Engineering Growth Accelerators and Market Barriers
 Table 25. North America Generative AI Engineering Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 26. Europe Generative AI Engineering Growth Accelerators and Market Barriers
 Table 27. Europe Generative AI Engineering Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
 Table 28. Asia-Pacific Generative AI Engineering Growth Accelerators and Market Barriers
 Table 29. Asia-Pacific Generative AI Engineering Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 30. Central and South America Generative AI Engineering Investment Opportunities and Key Challenges
 Table 31. Central and South America Generative AI Engineering Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 32. Middle East and Africa Generative AI Engineering Investment Opportunities and Key Challenges
 Table 33. Middle East and Africa Generative AI Engineering Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 34. OpenAI Corporation Information
 Table 35. OpenAI Description and Major Businesses
 Table 36. OpenAI Product Features and Attributes
 Table 37. OpenAI Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 38. OpenAI Revenue Proportion by Product in 2024
 Table 39. OpenAI Revenue Proportion by Application in 2024
 Table 40. OpenAI Revenue Proportion by Geographic Area in 2024
 Table 41. OpenAI Generative AI Engineering SWOT Analysis
 Table 42. OpenAI Recent Developments
 Table 43. Google DeepMind Corporation Information
 Table 44. Google DeepMind Description and Major Businesses
 Table 45. Google DeepMind Product Features and Attributes
 Table 46. Google DeepMind Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 47. Google DeepMind Revenue Proportion by Product in 2024
 Table 48. Google DeepMind Revenue Proportion by Application in 2024
 Table 49. Google DeepMind Revenue Proportion by Geographic Area in 2024
 Table 50. Google DeepMind Generative AI Engineering SWOT Analysis
 Table 51. Google DeepMind Recent Developments
 Table 52. NVIDIA Corporation Information
 Table 53. NVIDIA Description and Major Businesses
 Table 54. NVIDIA Product Features and Attributes
 Table 55. NVIDIA Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 56. NVIDIA Revenue Proportion by Product in 2024
 Table 57. NVIDIA Revenue Proportion by Application in 2024
 Table 58. NVIDIA Revenue Proportion by Geographic Area in 2024
 Table 59. NVIDIA Generative AI Engineering SWOT Analysis
 Table 60. NVIDIA Recent Developments
 Table 61. Adobe Corporation Information
 Table 62. Adobe Description and Major Businesses
 Table 63. Adobe Product Features and Attributes
 Table 64. Adobe Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 65. Adobe Revenue Proportion by Product in 2024
 Table 66. Adobe Revenue Proportion by Application in 2024
 Table 67. Adobe Revenue Proportion by Geographic Area in 2024
 Table 68. Adobe Generative AI Engineering SWOT Analysis
 Table 69. Adobe Recent Developments
 Table 70. IBM Corporation Information
 Table 71. IBM Description and Major Businesses
 Table 72. IBM Product Features and Attributes
 Table 73. IBM Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 74. IBM Revenue Proportion by Product in 2024
 Table 75. IBM Revenue Proportion by Application in 2024
 Table 76. IBM Revenue Proportion by Geographic Area in 2024
 Table 77. IBM Generative AI Engineering SWOT Analysis
 Table 78. IBM Recent Developments
 Table 79. Microsoft Corporation Information
 Table 80. Microsoft Description and Major Businesses
 Table 81. Microsoft Product Features and Attributes
 Table 82. Microsoft Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 83. Microsoft Recent Developments
 Table 84. Facebook AI Research (FAIR) Corporation Information
 Table 85. Facebook AI Research (FAIR) Description and Major Businesses
 Table 86. Facebook AI Research (FAIR) Product Features and Attributes
 Table 87. Facebook AI Research (FAIR) Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 88. Facebook AI Research (FAIR) Recent Developments
 Table 89. Amazon Web Services (AWS) Corporation Information
 Table 90. Amazon Web Services (AWS) Description and Major Businesses
 Table 91. Amazon Web Services (AWS) Product Features and Attributes
 Table 92. Amazon Web Services (AWS) Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 93. Amazon Web Services (AWS) Recent Developments
 Table 94. Baidu Corporation Information
 Table 95. Baidu Description and Major Businesses
 Table 96. Baidu Product Features and Attributes
 Table 97. Baidu Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 98. Baidu Recent Developments
 Table 99. Huawei Corporation Information
 Table 100. Huawei Description and Major Businesses
 Table 101. Huawei Product Features and Attributes
 Table 102. Huawei Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 103. Huawei Recent Developments
 Table 104. Raw Materials Key Suppliers
 Table 105. Distributors List
 Table 106. Market Trends and Market Evolution
 Table 107. Market Drivers and Opportunities
 Table 108. Market Challenges, Risks, and Restraints
 Table 109. Research Programs/Design for This Report
 Table 110. Key Data Information from Secondary Sources
 Table 111. Key Data Information from Primary Sources


List of Figures
 Figure 1. Generative AI Engineering Product Picture
 Figure 2. Global Generative AI Engineering Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 3. Text Generation Model Product Picture
 Figure 4. Image Generation Model Product Picture
 Figure 5. Audio Generation Model Product Picture
 Figure 6. Multimodal Generative Models Product Picture
 Figure 7. Global Generative AI Engineering Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 8. SMEs
 Figure 9. Large Enterprises
 Figure 10. Generative AI Engineering Report Years Considered
 Figure 11. Global Generative AI Engineering Revenue, (US$ Million), 2020 VS 2024 VS 2031
 Figure 12. Global Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 13. Global Generative AI Engineering Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Figure 14. Global Generative AI Engineering Revenue Market Share by Region (2020-2031)
 Figure 15. Global Generative AI Engineering Revenue Market Share Ranking (2024)
 Figure 16. Tier Distribution by Revenue Contribution (2020 VS 2024)
 Figure 17. Text Generation Model Revenue Market Share by Player in 2024
 Figure 18. Image Generation Model Revenue Market Share by Player in 2024
 Figure 19. Audio Generation Model Revenue Market Share by Player in 2024
 Figure 20. Multimodal Generative Models Revenue Market Share by Player in 2024
 Figure 21. Global Generative AI Engineering Revenue Market Share by Type (2020-2031)
 Figure 22. Global Generative AI Engineering Revenue Market Share by Application (2020-2031)
 Figure 23. North America Generative AI Engineering Revenue YoY (2020-2031) & (US$ Million)
 Figure 24. North America Top 5 Players Generative AI Engineering Revenue (US$ Million) in 2024
 Figure 25. North America Generative AI Engineering Revenue (US$ Million) by Type (2020 - 2031)
 Figure 26. North America Generative AI Engineering Revenue (US$ Million) by Application (2020-2031)
 Figure 27. US Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 28. Canada Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 29. Mexico Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 30. Europe Generative AI Engineering Revenue YoY (2020-2031) & (US$ Million)
 Figure 31. Europe Top 5 Players Generative AI Engineering Revenue (US$ Million) in 2024
 Figure 32. Europe Generative AI Engineering Revenue (US$ Million) by Type (2020-2031)
 Figure 33. Europe Generative AI Engineering Revenue (US$ Million) by Application (2020-2031)
 Figure 34. Germany Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 35. France Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 36. U.K. Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 37. Italy Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 38. Russia Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 39. Asia-Pacific Generative AI Engineering Revenue YoY (2020-2031) & (US$ Million)
 Figure 40. Asia-Pacific Top 8 Players Generative AI Engineering Revenue (US$ Million) in 2024
 Figure 41. Asia-Pacific Generative AI Engineering Revenue (US$ Million) by Type (2020-2031)
 Figure 42. Asia-Pacific Generative AI Engineering Revenue (US$ Million) by Application (2020-2031)
 Figure 43. Indonesia Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 44. Japan Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 45. South Korea Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 46. Australia Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 47. India Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 48. Indonesia Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 49. Vietnam Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 50. Malaysia Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 51. Philippines Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 52. Singapore Generative AI Engineering Revenue (2020-2031) & (US$ Million)
 Figure 53. Central and South America Generative AI Engineering Revenue YoY (2020-2031) & (US$ Million)
 Figure 54. Central and South America Top 5 Players Generative AI Engineering Revenue (US$ Million) in 2024
 Figure 55. Central and South America Generative AI Engineering Revenue (US$ Million) by Type (2020-2031)
 Figure 56. Central and South America Generative AI Engineering Revenue (US$ Million) by Application (2020-2031)
 Figure 57. Brazil Generative AI Engineering Revenue (2020-2025) & (US$ Million)
 Figure 58. Argentina Generative AI Engineering Revenue (2020-2025) & (US$ Million)
 Figure 59. Middle East and Africa Generative AI Engineering Revenue YoY (2020-2031) & (US$ Million)
 Figure 60. Middle East and Africa Top 5 Players Generative AI Engineering Revenue (US$ Million) in 2024
 Figure 61. South America Generative AI Engineering Revenue (US$ Million) by Type (2020-2031)
 Figure 62. Middle East and Africa Generative AI Engineering Revenue (US$ Million) by Application (2020-2031)
 Figure 63. GCC Countries Generative AI Engineering Revenue (2020-2025) & (US$ Million)
 Figure 64. Israel Generative AI Engineering Revenue (2020-2025) & (US$ Million)
 Figure 65. Egypt Generative AI Engineering Revenue (2020-2025) & (US$ Million)
 Figure 66. South Africa Generative AI Engineering Revenue (2020-2025) & (US$ Million)
 Figure 67. Generative AI Engineering Industry Chain Mapping
 Figure 68. Channels of Distribution (Direct Vs Distribution)
 Figure 69. Bottom-up and Top-down Approaches for This Report
 Figure 70. Data Triangulation
 Figure 71. Key Executives Interviewed
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