Synthetic Data Generation: Global Markets

Abstract
Report Scope:

The report provides an overview of the global market for synthetic data generation, and a detailed analysis of the products and strategies of the companies in the market. Using 2022 as the base year, the report provides estimated market data for 2023 through 2028. Revenue forecasts for this period are segmented based on component, deployment, data type, industry and region.

The report also focuses on the drivers and challenges that affect the market and the vendor landscape. The report looks at the current trends in the global market, and concludes with profiles of the major players in the market.

Report Includes:

- 26 data tables and 29 additional tables
- An overview of the global markets for synthetic data generation
- Estimation of market size and analyses of global market trends, with data from 2022, estimates for 2023, and projections of compound annual growth rates (CAGRs) through 2028
- Evaluation and forecast the synthetic data generation market size in dollar value terms, and corresponding market share analysis by component, deployment, data type, industry, and region
- Assessment of the key drivers and constraints that will shape the market for synthetic data generation and discussion on the upcoming market opportunities and areas of focus to forecast the market into various segments and sub-segments
- Identification of the companies best positioned to meet this demand because of their proprietary technologies, strategic alliances, or other advantages
- Review of the key patent grants and new technologies in the synthetic data generation sector
- Insight into the recent industry strategies, such as M&A deals, joint ventures, collaborations, and license agreements currently focused on synthetic data generation products and services
- Company profiles of major players within the industry, including Amazon Inc., Google Inc., IBM Corp., and Microsoft Corp.

Content
Table of Contents

Chapter 1 Introduction
Study Goals and Objectives
Reasons for Doing This Study
Scope of Report
Methodology
Information Sources
Geographic Breakdown
Chapter 2 Summary and Highlights
Market Outlook
Market Summary
Chapter 3 Market Overview
Overview
Regulatory Framework
Synthetic Data Generation Tools
Market Dynamics
Market Drivers
Market Restraints
Market Opportunities
Emerging Technologies and Developments
Generative Adversarial Networks
Deep Reinforcement Learning from Human Feedback (DRLHF)
Variational Autoencoders
Chapter 4 Market Breakdown by Component, Deployment, Data Type and Industry
Synthetic Data Generation Market by Component
Solutions
Services
Synthetic Data Generation Market by Deployment
Cloud
On-Premises
Synthetic Data Generation Market by Data Type
Tabular Data
Text Data
Image and Video Data
Other Data Types
Synthetic Data Generation Market by Industry
Banking, Financial Services and Insurance (BFSI)
Healthcare
Retail and E-commerce
IT and Telecommunications
Manufacturing
Media and Entertainment
Other Industries
Chapter 5 Market Breakdown by Region
Overview
North America
Europe
Asia-Pacific
Rest of the World
Chapter 6 ESG Developments
ESG Issues in Synthetic Data Generation
Carbon Footprint/Environmental Impact
Electricity
Synthetic Data Generation Industry ESG Performance Analysis
Case Study
Concluding Remarks from BCC Research
Chapter 7 Competitive Landscape
Overview
Market Share Analysis
Recent Developments
Chapter 8 Company Profiles
AMAZON INC.
BROADCOM INC.
DATABRICKS
GOOGLE INC.
IBM CORP.
INFORMATICA INC.
MICROSOFT CORP.
MOSTLY AI SOLUTIONS MP GMBH
MPHASIS LTD.
NVIDIA CORP.
OPENAI LP
SOGETI (DIVISION OF CAPGEMINI GROUP)
SYNTHESIA LTD.
Chapter 9 Appendix: Abbreviations