Frost & Sullivan names Philips as the Enabling Technology Leader in Digital Pathology
- By Philips
- January 29 2026
- 10 min read
- Originally published by Frost & Sullivan
Frost & Sullivan Enabling Technology Award
Frost & Sullivan’s Enabling Technology Leadership Award honors companies that leverage technology in innovative ways to enhance products, services, and the overall customer experience. In 2025, Frost & Sullivan recognized Philips as the Global Enabling Technology Leader in the Digital Pathology–Healthcare Informatics sector for its exceptional contributions to next-generation digital pathology, accelerated workflow modernization, and enterprise-wide clinical informatics.
At-a-glance:
- Frost & Sullivan honors Philips for global leadership and customer-focused innovation in digital pathology.
- Philips digital pathology delivers AI-driven workflows [1], cloud interoperability [2], and vendor-agnostic interoperability to accelerate diagnosis and boost productivity.
- Proven results: up to 37% productivity gains [3] and 25% faster diagnoses [4].
- Philips facilitates smooth adoption with change management and global support.
Dummy Text
Copy this URLto share this story with your professional network
Sign up for news and updates
Footnotes
- With Ibex AI, Ibex AI is Research Use Only (RUO) in the U.S.
- With our partner AWS. Third party claims from AWS, which may not apply in all markets and may be updated from time to time. The functionalities and benefits of the solution depend on customer-specific configuration and use. Please contact your local Philips representative for (market) availability
- PIPS in combination with Ibex AI Raoux, et al. Modern Pathology (2021) 34 (suppl 2): 598-599.
- Survey of 52 pathologists, lab managers and lab technicians in Europe, 2018.
- https://www.usa.philips.com/healthcare/customer-story/digital-pathology-boosts-productivity
Disclaimer
Any views or opinions presented in this report are solely those of Frost & Sullivan and team and do not necessarily represent those of Philips.
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. Results in other cases may vary.