Table of Content


Chapter 1   Methodology & Scope
1.1    Research design
1.1.1    Research approach
1.1.2    Data collection methods
1.2    Base estimates and calculations
1.2.1    Base year calculation
1.2.2    Key trends for market estimates
1.3    Forecast model
1.4    Primary research & validation
1.4.1    Primary sources
1.4.2    Data mining sources
1.5    Market definitions
Chapter 2   Executive Summary
2.1    Industry 360? synopsis, 2021 - 2034
Chapter 3   Industry Insights
3.1    Industry ecosystem analysis
3.1.1    Data generation and synthetic data providers
3.1.2    Data privacy and security vendors
3.1.3    Technology providers
3.1.4    End users
3.2    Supplier landscape
3.3    Profit margin analysis
3.4    Technology & innovation landscape
3.5    Key news & initiatives
3.6    Regulatory landscape
3.7    Use cases of synthetic data
3.8    Impact forces
3.8.1    Growth drivers
3.8.1.1    Rising demand for AI/ML model training
3.8.1.2    Privacy concerns and regulatory compliance
3.8.1.3    Growing need for enhanced testing and simulation
3.8.1.4    Technological advancements in data generation tools
3.8.2    Industry pitfalls & challenges
3.8.2.1    Quality and realism concerns
3.8.2.2    Potential for data and algorithmic bias
3.9    Growth potential analysis
3.10    Porter’s analysis
3.11    PESTEL analysis
Chapter 4   Competitive Landscape, 2024
4.1    Introduction
4.2    Company market share analysis
4.3    Competitive positioning matrix
4.4    Strategic outlook matrix
Chapter 5   Market Estimates & Forecast, By Data, 2021 - 2034 ($Bn)
5.1    Key trends
5.2    Image & video
5.3    Tabular
5.4    Text
5.5    Others
Chapter 6   Market Estimates & Forecast, By Offering, 2021 - 2034 ($Bn)
6.1    Key trends
6.2    Fully synthetic
6.3    Partially synthetic
Chapter 7   Market Estimates & Forecast, By Generation Technique, 2021 - 2034 ($Bn)
7.1    Key trends
7.2    Statistical methods & models
7.3    Rule-based system
7.4    Agent-based system
7.5    Deep learning methods
7.6    Others
Chapter 8   Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn)
8.1    Key trends
8.2    AI/ML model training
8.3    Privacy protection
8.4    Test data management
8.5    Data analytics and visualization
8.6    Others
Chapter 9   Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)
9.1    Key trends
9.2    BFSI
9.3    Healthcare & life sciences
9.4    Manufacturing
9.5    Technology & telecommunications
9.6    Automotive & transportation
9.7    Others
Chapter 10   Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)
10.1    Key trends
10.2    North America
10.2.1   U.S.
10.2.2   Canada
10.3    Europe
10.3.1   UK
10.3.2   Germany
10.3.3   France
10.3.4   Spain
10.3.5   Italy
10.3.6   Russia
10.3.7   Nordics
10.4    Asia Pacific
10.4.1   China
10.4.2   India
10.4.3   Japan
10.4.4   South Korea
10.4.5   ANZ
10.4.6   Southeast Asia
10.5    Latin America
10.5.1   Brazil
10.5.2   Mexico
10.5.3   Argentina
10.6    MEA
10.6.1   UAE
10.6.2   South Africa
10.6.3   Saudi Arabia
Chapter 11   Company Profiles
11.1    Aetion
11.2    Anylogic
11.3    Anyverse
11.4    Bifrost
11.5    Cvedia
11.6    DataGen
11.7    GenRocket
11.8    Gretel
11.9    Hazy
11.10    K2View
11.11    MDClone
11.12    Mindtech Global
11.13    Mostly AI
11.14    Rendered.AI
11.15    Sagemaker
11.16    Sogeti
11.17    Synthesis AI
11.18    Syntho
11.19    Tonic AI
11.20    Ydata.AI