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.

technical guide to synthetic data generation: methods, tradeoffs, and tools

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Who should read this report

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Infosec teams protecting PII

Benchmark masking, anonymization, tokenization, and synthetic data across use cases.

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Data teams handling masking complexity

Solve the complex challenges of data consistency, realism, and referential integrity.
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Analytics & AI teams needing utility

Balance privacy, realism, and usability with synthetic data.
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QA teams working with safer test data

Utilize realistic test data without delays.