World Quality Report 2025 Highlights Growing AI Adoption in Quality Engineering Amid Scaling Challenges

The World Quality Report 2025 Overview

The World Quality Report 2025, produced by OpenText in collaboration with Capgemini, has unveiled significant insights regarding the adoption of Artificial Intelligence (AI) in quality engineering practices. This year's report, now in its 17th edition, explores how nearly 90% of organizations are actively engaging with generative AI (GenAI) to enhance their quality engineering efforts, despite facing notable barriers to enterprise-level implementation.

Key Findings

The report presents several critical revelations, starting with the alarming fact that only 15% of organizations have successfully achieved enterprise-scale deployment of GenAI, while a staggering 43% remain stuck in experimental phases. This gap between enthusiasm and execution underscores a pressing need for companies to address complex integration challenges and improve their readiness for AI adoption.

While organizations have expressed considerable interest in integrating AI, the necessary alignment of operational innovations with strategic oversight has proven more complex than they anticipated. Tal Levi-Joseph, Senior Vice President at OpenText, emphasizes that organizations must evolve beyond traditional testing paradigms to incorporate quality throughout the software delivery lifecycle. This transformation necessitates a radical shift in how quality engineering is approached, marking a decisive response to competitive pressures in the market.

Challenges Faced by Organizations

The report delineates the primary obstacles encountered during AI adoption, which include:
1. Integration Complexity (64%) - The integration of AI systems with existing workflows remains a significant hurdle.
2. Data Privacy Risks (67%) - Organizations are increasingly concerned about the implications of data privacy in their AI solutions.
3. Skill Gaps (50%) - The lack of in-house expertise in AI and machine learning remains pervasive, stifling progress.

This year has also indicated a shift in organizational attitudes towards GenAI as companies pivot from rapid experimentation to more sophisticated and calibrated strategies that emphasize measurable outcomes and governance. Mark Buenen, Global Leader of Quality Engineering & Testing at Capgemini, notes that focusing on return on investment (ROI) and cross-functional impacts is becoming more prevalent.

Insights on Organization Behavior

The report highlights that organizations are gradually expanding their approach to utilizing GenAI beyond mere data analysis. For instance, the focus is trending towards refining input processes like test case design instead of solely analyzing outputs such as defect reports. Despite reporting an average productivity boost of 19%, many entities are hesitant, with one-third experiencing limited gains, indicating that more strategic integration practices are needed.

With the rise of new barriers, the authors of the report emphasize the importance of skilled personnel and strategic alignment in ensuring successful AI integration. Without these foundational elements, companies may continue to struggle with treating GenAI as a tactical solution rather than embracing its potential as a strategic enabler.

The Path Forward

Levi-Joseph calls on organizations to unlock their full potential through concerted investments in skills, governance, data management, and aligning outcomes with business objectives. The evolution towards collaborative intelligence, where human instincts mesh with AI capabilities, is viewed as crucial in navigating the hurdles between innovation and accountability. Furthermore, while the 'shift left' approach in quality engineering prevails, the emerging 'shift right' methodology is gaining traction, signaling a broader rethinking of how quality is approached within the software development lifecycle.

As we look forward, organizations must not only embrace AI but also rebuild their fundamental quality engineering practices to ensure that AI enhances rather than replaces core capabilities. The conclusions drawn from the World Quality Report 2025 provide a roadmap for companies to navigate the complexities of AI integration within quality engineering, paving the way for a more strategic future in software quality management.

For more comprehensive insights, you can download the full report at www.worldqualityreport.com.