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The 2026 Test Data Management Report for AI-Ready Enterprises
- Letter from the Authors
- Ranking Test Data Priorities: Why Data Quality Claims the #1 Spot
- The Data Control Paradox: Top Priorities vs. Biggest Barriers
- The Problem with Process: Test Data Bottlenecks Are Stalling Workflows
- Solving for Modern Test Data Management Challenges
- Key Takeaways: How You Can Make the Next Step Toward AI-Ready Test Data Management
- Respondents Snapshot: Segments, Industries, & Job Titles
- Key Terms to Know
Report > The 2026 Test Data Management Report for AI-Ready Enterprises
The Data Control Paradox: Top Priorities vs. Biggest Barriers
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Back to topEnterprises Want High-Quality Data — But Don’t Always Get It
While data quality is a top priority, it’s also enterprises’ greatest challenge. Our survey found that 39% of enterprises face data quality or validity issues — again potentially leading to issues like software defects and application quality concerns. This concern is followed by testing across complex systems (30%) and sensitive data/personally identifiable information compliance (26%).
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