World Quality Report 2025: AI adoption surges in Quality Engineering, but enterprise-level scaling remains elusive
OpenText (NASDAQ: OTEX) and Capgemini release the World Quality Report 2025 (Nov 13, 2025) examining GenAI adoption in quality engineering. The report finds 89% of organizations piloting or deploying GenAI, but only 15% report enterprise-scale implementation and 37% have production deployments.
Reported operational effects include an average productivity boost of 19%, while top scaling barriers are data privacy (67%), integration complexity (64%), and hallucination/reliability (60%). Skills gaps remain at 50%. The report highlights a gap between interest and readiness and promotes governance, skills, and data alignment.
OpenText (NASDAQ: OTEX) e Capgemini pubblicano il World Quality Report 2025 (13 nov 2025) esaminando l'adozione di GenAI nell'ingegneria della qualità. Il rapporto rileva che l'89% delle organizzazioni sta sperimentando o implementando GenAI, ma solo il 15% riferisce un'implementazione su scala aziendale e il 37% ha deploy in produzione.
Gli effetti operativi riportati includono un incremento medio della produttività del 19%, mentre le principali barriere al scaling sono privacy dei dati (67%), complessità di integrazione (64%) e allucinazione/affidabilità (60%). Le lacune di competenze rimangono al 50%. Il rapporto evidenzia un gap tra interesse e preparazione e promuove governance, competenze e allineamento dei dati.
OpenText (NASDAQ: OTEX) y Capgemini presentan el World Quality Report 2025 (13 nov 2025) examinando la adopción de GenAI en la ingeniería de calidad. El informe estima que el 89% de las organizaciones están probando o implementando GenAI, pero solo el 15% reporta implementación a escala empresarial y el 37% tiene despliegues en producción.
Los efectos operativos reportados incluyen un aumento medio de productividad de 19%, mientras que las principales barreras para la escalabilidad son privacidad de datos (67%), complejidad de la integración (64%) y alucinación/confiabilidad (60%). Las brechas de habilidades permanecen en 50%. El informe resalta una brecha entre interés y preparación y promueve la gobernanza, las habilidades y la alineación de datos.
OpenText (NASDAQ: OTEX)와 Capgemini는 GenAI 채택을 품질 엔지니어링에서 조사한 World Quality Report 2025를 발표합니다 (2025년 11월 13일). 보고서는 89%의 조직이 GenAI를 파일럿 또는 도입하고 있지만 기업 규모의 구현은 15%에 불과하고 생산 배포는 37%라고 밝혔습니다.
보고된 운영 효과에는 평균 생산성 증가가 19%이고, 확장에 대한 주요 장벽은 데이터 프라이버시(67%), 통합 복잡성(64%), 그리고 환각/신뢰성(60%)입니다. 기술 격차는 여전히 50%입니다. 보고서는 관심과 준비 사이의 격차를 강조하고 거버넌스, 기술 및 데이터 정렬을 촉진합니다.
OpenText (NASDAQ: OTEX) et Capgemini publient le World Quality Report 2025 (13 nov. 2025) examinant l'adoption de GenAI dans l'ingénierie de la qualité. Le rapport indique que 89% des organisations testent ou déploient GenAI, mais seulement 15% rapportent une mise en œuvre à l’échelle d’entreprise et 37% ont des déploiements en production.
Les effets opérationnels rapportés incluent une augmentation moyenne de la productivité de 19%, tandis que les principaux obstacles à l’extension sont la confidentialité des données (67%), la complexité d’intégration (64%), et l’hallucination/la fiabilité (60%). Les lacunes de compétences restent à 50%. Le rapport souligne un écart entre intérêt et préparation et promeut la gouvernance, les compétences et l’alignement des données.
OpenText (NASDAQ: OTEX) und Capgemini veröffentlichen den World Quality Report 2025 (13. Nov. 2025), der die GenAI-Adoption im Qualitätsengineering untersucht. Der Bericht stellt fest, dass 89% der Organisationen GenAI testen oder einsetzen, aber nur 15% berichten von einer Implementierung auf Unternehmensebene und 37% haben Produktionsdeployments.
Zu den berichteten betrieblichen Auswirkungen gehört eine durchschnittliche Produktivitätssteigerung von 19%, während die größten Skalierungshemmnisse Datenschutz (67%), Integrationskomplexität (64%) und Halluzination/Zuverlässigkeit (60%) sind. Qualifikationslücken bleiben bei 50%. Der Bericht hebt eine Kluft zwischen Interesse und Bereitschaft hervor und fördert Governance, Fähigkeiten und Datenabstimmung.
OpenText (NASDAQ: OTEX) و Capgemini يصدران World Quality Report 2025 (13 نوفمبر 2025) الذي يفحص تبني GenAI في هندسة الجودة. يُظهر التقرير أن 89% من المؤسسات يقومون بتجربة GenAI أو نشره، لكن 15% فقط يعلن عن تنفيذ على مستوى المؤسسة و 37% لديهم نشرات في الإنتاج.
تشمل التأثيرات التشغيلية المبلغ عنها زيادة متوسطية في الإنتاجية تبلغ 19%، بينما الحواجز الكبرى أمام التوسع هي خصوصية البيانات (67%)، تعقيد التكامل (64%)، والهلوسة/الاعتمادية (60%). فجوات المهارات لا تزال عند 50%. يبرز التقرير فجوة بين الاهتمام والاستعداد ويشجع على الحوكمة والمهارات وتوافق البيانات.
- 89% of organizations piloting or deploying GenAI
- 37% of respondents with GenAI in production
- Average productivity improvement of 19%
- Emergence of collaborative human+AI approaches
- Only 15% achieved enterprise-scale GenAI implementation
- 43% remain in experimental phase
- Data privacy cited as top barrier by 67%
- Integration complexity flagged by 64% of respondents
- AI hallucination/reliability concerns at 60%
- 50% report unchanged AI/ML skills gap
Top barriers for scaling include integration complexity (
The report finds a widening gap between organizational interest in GenAI and actual readiness to adopt it effectively within QE. The journey from experimentation to implementation is more complex than anticipated, requiring alignment between operational innovation and strategic oversight.
"Quality engineering is being redefined by AI. Standing still is no longer an option – organizations must embrace AI-driven transformation to stay competitive and deliver faster with higher confidence," said Tal Levi-Joseph, Senior Vice President, Application Delivery Management at OpenText. "AI has organizations moving beyond traditional testing to embed quality throughout the software delivery lifecycle."
"Comparing year on year data from the World Quality Reports, Generative AI in Quality Engineering has shifted from early experimentation to strategic integration. While technical progress is clear, many organizations still struggle to align GenAI enabled quality engineering with business goals. In 2025, we're seeing more focus on governance, ROI, and cross-functional impact. The challenge ahead is closing the Gen AI divide turning investment into measurable value," said Mark Buenen, Global Leader, Quality Engineering & Testing at Capgemini.
Key findings from the report:
-
Widespread adoption:
89% of responding organizations are piloting or deploying GenAI–augmented workflows, with37% in production and52% in pilot phases. -
Momentum and recalibration: The rate of non-adopters of GenAI increased to
11% , up from4% in 2024, but still considerably lower than 2023's31% , indicating the initial rush has given way to a more grounded and complex strategy about readiness and value. -
Limited scale: Only
15% of respondents have achieved enterprise-wide implementation, while43% remain in the experimental phase and30% operate within limited use cases. - Evolving use cases: GenAI is shifting from analyzing outputs (such as defect analysis and reporting) to shaping inputs, with test case design and requirements refinement now leading adoption.
-
Operational gains with caveats: Organizations report an average productivity boost of
19% , but one third have seen minimal gains, highlighting the need for smarter integration strategies. -
New barriers emerge: In 2025, top challenges experienced by respondents include integration complexity (
64% ), data privacy risks (67% ), and hallucination and reliability concerns (60% ). This is a change from 2024 when top obstacles were more strategic in nature: lack of validation strategy (50% ), insufficient AI skills (42% ), and undefined QE organization (41% ). -
Skills gap remains:
50% report their organizations lack AI/ML expertise, which is unchanged from 2024. - Strategic misalignment: Many organizations treat GenAI as a tactical enhancement rather than a strategic enabler, resulting in fragmented execution and underfunded initiatives.
"For organizations to unlock GenAI's full potential in quality engineering, they must invest in skills, governance, data and outcome alignment. AI amplifies capability, but it cannot substitute for it," Levi-Joseph said. "As the report reveals, the organizations that succeed are those that strengthen their quality engineering fundamentals and use AI to augment core capabilities, such as design, development, and testing."
The report also emphasized the emergence of collaborative intelligence, where human expertise and AI capabilities combine to drive quality outcomes. This hybrid approach is proving essential as organizations navigate the tension between innovation and accountability. The report also showed that while shift left is still the dominant approach in quality engineering, the shift-right approach is gaining traction.
To download the full report, visit www.worldqualityreport.com.
Additional Resources
- Learn more about OpenText DevOps Cloud.
- OpenText was recently recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for AI-Augmented Software Testing Tools. Read about it here.
About the World Quality Report 2025
Now in its 17th edition, the World Quality Report is an annual study that explores the latest trends, challenges, and future outlooks for quality engineering across industries. The report is based on extensive research and surveys with industry leaders to provide a comprehensive understanding of the software quality landscape.
Gartner, Magic Quadrant for AI-Augmented Software Testing Tools, By Joachim Herschmann, Sushant Singhal, Ross Power, C.A. Swan, 6 October 2025
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
World Quality Report 2025 research methodology:
The World Quality Report is the only global report analyzing application quality and testing trends. This year's edition has tracked and examined the most important trends and developments in Quality Engineering and Testing by surveying more than 2,000 senior executives across 22 countries and 10 sectors. The expert findings are complemented with commentary, examples and best practices from senior executives from various fortune 500 organizations that participated in deep-dive interviews around these topics.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of
Make it real | www.capgemini.com
About OpenText
OpenText™ is a leading Cloud and AI company that provides organizations around the world with a comprehensive suite of Business AI, Business Clouds, and Business Technology. We help organizations grow, innovate, become more efficient and effective, and do so in a trusted and secure way – through Information Management. For more information about OpenText (NASDAQ/TSX: OTEX), please visit us at http://www.opentext.com/.
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FAQ
What did the World Quality Report 2025 say about GenAI adoption in quality engineering for OTEX news on Nov 13, 2025?
How common is GenAI in production according to the World Quality Report 2025 (OTEX)?
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What percentage of organizations are non-adopters of GenAI in the World Quality Report 2025 (OTEX)?
