Gartner® 2026 market overview

Synthetic data generation tools: platforms and capabilities

Choose a synthetic data generation tool that fits your testing, analytics, and AI needs. Use Gartner® market overview to inform your comparison of software, platforms, and vendors. 

Understand what to look for in synthetic data tools:

  •  Data realism, utility, and statistical relationships 

  •  Privacy protection and reidentification risk 

  •  Structured and unstructured data support 

  •  Integration with testing, analytics, and AI workflows 

Gartner report for synthetic data generation tools and methods

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Key capabilities to compare in synthetic data software

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Understand synthetic data generation needs

Explore how synthetic data helps when real data is unavailable or sensitive. 

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Assess privacy protection

Understand reidentification risk and privacy assurance. 

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Balance data realism and utility

Consider realism, consistency, and utility for testing, analytics, and AI workflows. 

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Evaluate synthetic data tools and vendors

Use key capabilities and example vendors to inform your platform comparison. 

Why teams are evaluating synthetic data generators

Synthetic data generation tools offer an alternative when real data is unavailable, privacy risks are high, or approval processes cannot keep pace with demand.

  • Testing and development: Need consistent and realistic data

  • Privacy and compliance: Need measurable privacy protection

  • Analytics and AI: Need representative data for modeling 

Why teams are evaluating synthetic data platforms

Who this report is for

  • Infosec: Privacy assurance and reidentification risk 

  • Data engineering: Consistent synthetic data and workflow integration 

  • Analytics & AI:  Representative data for model development 

  • Quality engineering: Realistic synthetic data for testing

Compliant synthetic data for infosec, data engineering, analytics and AI, and quality engineering teams
Gartner Market Guide for Synthetic Data Generation Tools

Evaluate synthetic data platforms before shortlisting vendors

Use Gartner’s 2026 market overview to understand what to look for in synthetic data generation tools. Explore privacy, data utility, and integration requirements for testing and AI. 
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