Forrester Buyer’s Guide: Autonomous Testing Platforms, Q1 2026

There is a growing gap between the promise of AI-driven testing and real-world results. Recent research from Forrester finds that despite high overall automation levels, most enterprises report AI has only increased productivity by 21% to 30% over traditional methods.

The Forrester Buyer’s Guide: Autonomous Testing Platforms, Q1 2026 report reveals a significant impact gap for many organizations:

• Low Autonomy: True end-to-end autonomous discovery and maintenance earned a low average score of 2.2 out of 5.
• Analytics Blind Spots: AI-enhanced reporting is the lowest-rated feature area (3.0 out of 5) because current tools lack the “high-quality intelligence” leaders need.
• Fragmented Collaboration: Support for cross-functional alignment between developers and business testers remains mixed, scoring just 3.8 out of 5.

Build a compelling business case for optimizing AI investment. The guide provides the data you need to:

• Identify High-Value Features: Discover why underutilized features like API testing received the highest satisfaction scores.
• Accelerate Your Roadmap: Benchmark your team against mature groups that achieve 80%+ automation by optimizing their AI workflows.
• Structure Collaboration: Implement a blueprint to eliminate tool sprawl, improve developer-tester alignment, and overcome the root cause of fragmented collaboration.

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Information in Forrester publications is based on Forrester’s efforts to compile and analyze the best resources reasonably available to Forrester at any given time. Opinions reflect judgment at the time and are subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance.