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The 17th edition of the World Quality Report explores how organizations are adapting to emerging worlds shaped by generative AI, automation, and evolving delivery models. Based on insights from 2,000 global executives, the report reveals that while AI adoption in quality engineering (QE) is accelerating, scaling remains a challenge—only 15% have achieved enterprise-wide implementation. Key findings include the rise of AI copilots, self-healing tests, and synthetic data, alongside persistent hurdles such as integration complexity, governance gaps, and skill shortages. The report offers actionable recommendations to bridge the gap between experimentation and transformation: invest in AI-ready skills, establish clear ownership, and align QE metrics with business outcomes.

World Quality Report 2025: Adapting to Emerging Worlds is sponsored by OpenText and produced in collaboration with Capgemini and Sogeti.