Global Synthetic Data Generation Software Market 2026-2030

Global Synthetic Data Generation Software Market 2026-2030

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. Show more