
Synthetic Data Generation: Global Markets
Description
Synthetic Data Generation: Global Markets
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.
Table of Contents
67 Pages
- 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
Pricing
Currency Rates
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