합성 데이터 생성 소프트웨어 시장(2026-2030년)

The global synthetic data generation software market is forecasted to grow by USD 3053.6 mn during 2025-2030, accelerating at a CAGR of 46.4% during the forecast period. The report on the global synthetic data generation software market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating regulatory pressures to protect personal information, indispensable need for diverse and high-volume training data in AI development, cost optimization and accelerated time-to-market for digital products.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global synthetic data generation software market is segmented as below:

By Data Type

• Structured tabular data
• Image and video data
• Text and NLP data
• Time series and sensor data

By End-User

• BFSI
• Healthcare and life sciences
• Retail and e-commerce
• Automotive and mobility
• Others

By Application

• AI and ML model training
• Data privacy and compliance testing
• Software testing and QA
• Fraud detection and cybersecurity

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • The Netherlands
  • Italy
  • Spain
• APAC
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the enhanced privacy compliance and proliferation of privacy-enhancing technologies as one of the prime reasons driving the global synthetic data generation software market growth during the next few years. Also, integration of generative AI for high-fidelity data augmentation in large language models and expansion of digital twins and simulated environments for autonomous systems will lead to sizable demand in the market.

The report on the global synthetic data generation software market covers the following areas:

• Global synthetic data generation software market sizing
• Global synthetic data generation software market forecast
• Global synthetic data generation software market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global synthetic data generation software market vendors that include Aetion Inc., Capgemini SE, Databricks Inc., GenRocket Inc., Google LLC, Gretel AI, K2View, MDClone Ltd., MOSTLY AI, NVIDIA Corp., Parallel Domain, Rendered.ai, SAS Institute Inc., Scale AI, Synth Studio, Synthesized Ltd, Syntho, Tonic AI Inc., Unity Technologies Inc., YData. Also, the global synthetic data generation software market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Data Type
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Synthetic Data Generation Software Market 2020 - 2024
  • Historic Market Size - Data Table on Global Synthetic Data Generation Software Market 2020 - 2024 ($ million)
• 5.2 Data Type segment analysis 2020 - 2024
  • Historic Market Size - Data Type Segment 2020 - 2024 ($ million)
• 5.3 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
• 5.4 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI on the Global Synthetic Data Generation Software Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Data Type

• 8.1 Market segments
• 8.2 Comparison by Data Type
• 8.3 Structured tabular data - Market size and forecast 2025-2030
• 8.4 Image and video data - Market size and forecast 2025-2030
• 8.5 Text and NLP data - Market size and forecast 2025-2030
• 8.6 Time series and sensor data - Market size and forecast 2025-2030
• 8.7 Market opportunity by Data Type
  • Market opportunity by Market Segmentation by Data Type ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 BFSI - Market size and forecast 2025-2030
• 9.4 Healthcare and life sciences - Market size and forecast 2025-2030
• 9.5 Retail and e-commerce - Market size and forecast 2025-2030
• 9.6 Automotive and mobility - Market size and forecast 2025-2030
• 9.7 Others - Market size and forecast 2025-2030
• 9.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Market Segmentation by Application

• 10.1 Market segments
• 10.2 Comparison by Application
• 10.3 AI and ML model training - Market size and forecast 2025-2030
• 10.4 Data privacy and compliance testing - Market size and forecast 2025-2030
• 10.5 Software testing and QA - Market size and forecast 2025-2030
• 10.6 Fraud detection and cybersecurity - Market size and forecast 2025-2030
• 10.7 Market opportunity by Application
  • Market opportunity by Application ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 The Netherlands - Market size and forecast 2025-2030
  • 12.4.5 Italy - Market size and forecast 2025-2030
  • 12.4.6 Spain - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 India - Market size and forecast 2025-2030
  • 12.5.3 Japan - Market size and forecast 2025-2030
  • 12.5.4 South Korea - Market size and forecast 2025-2030
  • 12.5.5 Australia - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.2 UAE - Market size and forecast 2025-2030
  • 12.6.3 South Africa - Market size and forecast 2025-2030
  • 12.6.4 Israel - Market size and forecast 2025-2030
  • 12.6.5 Turkey - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Colombia - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Escalating regulatory pressures to protect personal information
  • Indispensable need for diverse and high-volume training data in AI development
  • Cost optimization and accelerated time-to-market for digital products
• 13.2 Market challenges
  • Maintaining data fidelity and preventing risk of model collapse
  • Integration complexities and interoperability with legacy data infrastructures
  • Lack of universal standards regarding synthetic outputs
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Enhanced privacy compliance and proliferation of privacy-enhancing technologies
  • Integration of generative AI for high-fidelity data augmentation in large language models
  • Expansion of digital twins and simulated environments for autonomous systems

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Aetion Inc.
  • Aetion Inc. - Overview
  • Aetion Inc. - Product / Service
  • Aetion Inc. - Key offerings
  • SWOT
• 15.5 GenRocket Inc.
  • GenRocket Inc. - Overview
  • GenRocket Inc. - Product / Service
  • GenRocket Inc. - Key offerings
  • SWOT
• 15.6 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 15.7 MDClone Ltd.
  • MDClone Ltd. - Overview
  • MDClone Ltd. - Product / Service
  • MDClone Ltd. - Key offerings
  • SWOT
• 15.8 MOSTLY AI
  • MOSTLY AI - Overview
  • MOSTLY AI - Product / Service
  • MOSTLY AI - Key offerings
  • SWOT
• 15.9 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 15.10 Parallel Domain
  • Parallel Domain - Overview
  • Parallel Domain - Product / Service
  • Parallel Domain - Key offerings
  • SWOT
• 15.11 Rendered.ai
  • Rendered.ai - Overview
  • Rendered.ai - Product / Service
  • Rendered.ai - Key offerings
  • SWOT
• 15.12 SAS Institute Inc.
  • SAS Institute Inc. - Overview
  • SAS Institute Inc. - Product / Service
  • SAS Institute Inc. - Key news
  • SAS Institute Inc. - Key offerings
  • SWOT
• 15.13 Scale AI
  • Scale AI - Overview
  • Scale AI - Product / Service
  • Scale AI - Key offerings
  • SWOT
• 15.14 Synthesized Ltd
  • Synthesized Ltd - Overview
  • Synthesized Ltd - Product / Service
  • Synthesized Ltd - Key offerings
  • SWOT
• 15.15 Syntho
  • Syntho - Overview
  • Syntho - Product / Service
  • Syntho - Key offerings
  • SWOT
• 15.16 Tonic AI Inc.
  • Tonic AI Inc. - Overview
  • Tonic AI Inc. - Product / Service
  • Tonic AI Inc. - Key offerings
  • SWOT
• 15.17 Unity Technologies Inc.
  • Unity Technologies Inc. - Overview
  • Unity Technologies Inc. - Business segments
  • Unity Technologies Inc. - Key news
  • Unity Technologies Inc. - Key offerings
  • Unity Technologies Inc. - Segment focus
  • SWOT
• 15.18 YData
  • YData - Overview
  • YData - Product / Service
  • YData - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations