Gartner® Market Guide
The technical guide to synthetic data generation: methods, tradeoffs, and tools
Access the Gartner® evaluation of data masking and synthetic data. Learn how to move beyond basic de-identification to provision high-utility, tabular synthetic data for software testing and AI/ML training.
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Who should read this report
Infosec teams protecting PII
Benchmark masking, anonymization, tokenization, and synthetic data across use cases.
Data teams handling masking complexity
Solve the complex challenges of data consistency, realism, and referential integrity.
Analytics & AI teams needing utility
Balance privacy, realism, and usability with synthetic data.
QA teams working with safer test data
Utilize realistic test data without delays.