Gartner® Market Guide

Compare data masking, anonymization, and synthetic data methods

Traditional data masking has its limits. This Gartner® guide explores the tradeoffs between masking, anonymization, tokenization, and synthetic data generation — helping you overcome utility challenges and identify the best alternative for your enterprise.  

Gartner Market Guide for Data Masking and Synthetic Data

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Who should read this report

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Infosec teams evaluating methods

Understand the main data privacy and compliance methods in the market.  

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Data teams handling masking complexity

Learn how teams manage consistency, realism, and referential integrity. 
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Analytics & AI teams protecting PII

See how teams support analytics and AI while protecting sensitive data.
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QA teams working with safer test data

See how different methods affect test data quality and non-production use.