1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. AI IN SYNTHETIC DATA GENERATION MARKET BY COMPONENT
5.1. Introduction
5.2. Services
5.3. Solutions
6. AI IN SYNTHETIC DATA GENERATION MARKET BY DATA TYPE
6.1. Introduction
6.2. Structured Data
6.3. Unstructured Data
7. AI IN SYNTHETIC DATA GENERATION MARKET BY DEPLOYMENT
7.1. Introduction
7.2. On-Premise
7.3. Cloud-Based
8. AI IN SYNTHETIC DATA GENERATION MARKET BY END-USER
8.1. Introduction
8.2. Banking, Financial Services, and Insurance (BFSI)
8.3. Retail and E-Commerce
8.4. Healthcare
8.5. IT & Telecommunication
8.6. Automotive
8.7. Others
9. AI IN SYNTHETIC DATA GENERATION MARKET BY GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. USA
9.2.2. Canada
9.2.3. Mexico
9.3. South America
9.3.1. Brazil
9.3.2. Argentina
9.3.3. Others
9.4. Europe
9.4.1. United Kingdom
9.4.2. Germany
9.4.3. France
9.4.4. Italy
9.4.5. Spain
9.4.6. Others
9.5. Middle East & Africa
9.5.1. Saudi Arabia
9.5.2. UAE
9.5.3. Others
9.6. Asia Pacific
9.6.1. China
9.6.2. India
9.6.3. Japan
9.6.4. South Korea
9.6.5. Thailand
9.6.6. Others
10. COMPETITIVE ENVIRONMENT AND ANALYSIS
10.1. Major Players and Strategy Analysis
10.2. Market Share Analysis
10.3. Mergers, Acquisitions, Agreements, and Collaborations
10.4. Competitive Dashboard
11. COMPANY PROFILES
11.1. Amazon
11.2. MOSTLY AI
11.3. Synthesis AI
11.4. K2view
11.5. GenRocket
11.6. Tonic AI
11.7. YData
11.8. Datagen
11.9. Anyverse
11.10. NVIDIA
11.11. Microsoft
11.12. Google
11.13. IBM
12. APPENDIX
12.1. Currency
12.2. Assumptions
12.3. Base and Forecast Years Timeline
12.4. Key benefits for the stakeholders
12.5. Research Methodology
12.6. Abbreviations