MARKET RESEARCH
Gartner® Market Guide for Synthetic Data Generation
Synthetic data generation is revolutionizing how enterprises approach software testing, AI/ML development, and analytics. This new Market Guide from Gartner® provides a comprehensive overview of the synthetic data landscape, including a comparison to data masking, and coverage of leading vendors. Learn how to leverage synthetic data to enhance privacy, accelerate innovation, and reduce costs.
![Gartner® Report on Test Data Management](https://www.k2view.com/hs-fs/hubfs/Group%2091330-2.png?width=600&height=503&name=Group%2091330-2.png)
Inside the report: Synthetic data strategies and tools
Unlock the potential of synthetic data
Enhance data privacy compliance while accelerating software testing and innovation.
Choose the right techniques
Guidance on selecting rule-based, AI-driven, or other synthetic data generation methods.
Compare synthetic data vs. data masking
Understand the advantages and disadvantages of each per use case.
Identify leading vendors
Evaluate tools offering comprehensive masking and synthetic data solutions.