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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
Ranking Test Data Priorities: Why Data Quality Claims the #1 Spot
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Back to topMain Test Data Priorities: Test Data Quality is Top of Mind
What do enterprises want when it comes to test data automation? In our survey, we found that data quality is top of mind. Out of all the respondents across industries and job titles, 43% cited consistent, high-quality data as one of their main priorities related to test data automation. It’s the #1 priority, followed by flexibility (39%) and scalability (27%).
"The old saying ‘garbage in, garbage out’ can be applied to why high-quality test data is needed. Result accuracy is highly correlated with input accuracy."
— Michael Webster, Director, Database Development Services, AgFirst
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