Spotlight

Report:

The Forrester Wave™: Autonomous Testing Platforms, Q4 2025

How does Forrester define the Autonomous Testing Platforms market in 2025?

AI is forcing the evolution of automation testing toward autonomous testing. More testing is needed, it must be faster, and as more agency kicks in, it must become more autonomous. This represents a shift from 'continuous automation testing platforms' to 'autonomous testing platforms' - an evolved category that addresses new criteria for platform fit in complex environments, AI-infused test automation capabilities, autonomy levels, and testing of AI capabilities themselves. The evaluation assessed 15 providers across Leaders, Strong Performers, and Contenders categories based on current offering strength and strategy strength.

Key Facts for The Forrester Wave™: Autonomous Testing Platforms, Q4 2025 in 2025

How did the Autonomous Testing Platforms market evolve in 2025?

What product features are required to be included in this year's evaluation?

What are the common features of top products in the Autonomous Testing Platforms space?

No common features specified.

Scope Exclusions

Inclusion Criteria

Vendors must, among other requirements:

Offering Strengths — Relative Weighting

Strategy Strength — Relative Weighting

FAQs

Q: What does this research cover?

A: This research evaluates 15 autonomous testing platform providers across current offering capabilities, strategy, and customer feedback. It covers the evolution from continuous automation testing to autonomous testing driven by AI, assessment criteria for platforms in complex environments, AI-infused test automation capabilities, autonomy levels, and testing of AI capabilities themselves. The evaluation includes detailed scorecards for each vendor across categories like operating environment, user interface, functional testing, API testing, performance testing, collaboration, reporting, AI testing dimensions, and strategic factors.

Q: Who should use this research?

A: This research should be used by autonomous testing platform customers making purchase decisions who need to assess vendors based on platform fit for complex environments and teams, AI-infused test automation capabilities, and autonomy and AI testing capabilities. Enterprises should use this to evaluate how deeply AI capabilities are embedded in platforms, assess vendor vision and roadmap alignment with their testing maturity evolution, and compare vendors' strengths and weaknesses in functional/nonfunctional testing, collaboration, reporting, and emerging capabilities like agentic testing and AI quality validation.

Q: What are the mandatory features of vendors included in this market?

A: Vendors must have: 1) At least $20 million in annual revenue from autonomous testing platforms, 2) Native provision of all core functions with demonstrated enterprise support track record, 3) Core AI, genAI, and some agentic capabilities providing minimum autonomous testing levels and AI testing capabilities, 4) Mindshare among Forrester enterprise clients demonstrated through inquiries, advisories, consulting engagements, and competitive mentions.

Q: What are some reasons for not being included in this report?

A:

  • Insufficient revenue (less than $20 million annually from autonomous testing platforms)
  • Lack of broad enterprise-level support or track record
  • Missing core AI/genAI capabilities or insufficient autonomous testing features
  • Insufficient mindshare among Forrester's enterprise clients
  • Focus exclusively on testing of AI without broader autonomous testing platform capabilities
  • Failure to natively provide core functions for the autonomous testing space

Q: What should buyers consider when evaluating products in this market?

A:

  • Platform fit for complex environments and teams - ensure the platform supports operating environment heterogeneity and complexity, ease of use, support for diverse testing personas, collaboration across testers and developers, both functional and nonfunctional needs (performance, API testing), reporting capabilities, and strategic alignment with vendor vision and roadmap
  • AI-infused test automation capabilities - assess how deeply and effectively predictive AI and genAI capabilities are embedded, including natural language interfaces, automated test case generation, self-healing, test optimization, defect clustering, and script resilience
  • Autonomy and testing of AI capabilities - evaluate platforms for agentic testing features with agents that can plan, learn, and act from context, plus robust AI testing capabilities to validate quality of AI-infused applications including hallucination detection, bias testing, and performance validation

Q: How has the Autonomous Testing Platforms market evolved in 2025?

A:

  • Software development becoming the number one AI use case by end of 2026
  • Evolution from predictive AI (test optimization, defect clustering, script healing) to genAI (natural language interfaces, automated test case generation, resilient self-healing)
  • Emergence of agentic testing with agents that can plan, learn, and act from context
  • Increasing need to test AI-infused applications and validate AI quality itself
  • Growing requirement for autonomous testing capabilities with higher levels of agency
  • Convergence of testing with DevOps and observability
  • Shift toward multimodal AI, ML, computer vision, and genAI in testing platforms

Q: What differentiates Strength of Offering vs. Strength of Strategy?

A: Strength of Offering evaluates current product capabilities including operating environment, user interface, testing capabilities (functional, API, performance), AI testing features, agent orchestration, autonomy levels, collaboration, reporting, and maintenance. It focuses on what the platform can do today. Strength of Strategy evaluates future direction including vision, innovation, roadmap clarity, partner ecosystem maturity, pricing models, and community engagement. It focuses on the vendor's ability to evolve and meet future market needs, particularly around AI and autonomous testing maturity.

Reference

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