AUSTIN, Nov. 25, 2025 (Globe Newswire) — According to SNS Insider. computational pathology market The size was valued at USD 648.3 million in 2024 and is projected to reach USD 151.72 million by 2032, at a CAGR of 8.62% during the forecast period 2025-2032. The US computational pathology market alone was valued at USD 197.89 million in 2024 and is expected to reach USD 372.18 million by 2032, at a CAGR of 8.26%.
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Computational Pathology Market Overview
The computational pathology market is gaining significant momentum as healthcare systems around the world adopt advanced technologies to support faster and more accurate diagnosis. Computational pathology integrates digital imaging, AI, machine learning, and data analytics to transform the way pathology data is interpreted. These technologies increase diagnostic accuracy, reduce human error, and support high-volume analysis across hospitals, diagnostic labs, and research institutions.
The increasing prevalence of chronic diseases, the growing need for early detection, and the shift toward precision medicine are accelerating the adoption of computational tools. AI-enabled platforms are reimagining workflows by automating complex tasks such as tumor detection, biomarker identification, and tissue pattern recognition. As the demand for data-driven diagnostic solutions continues to grow, computational pathology is becoming an important pillar of modern medicine.
Segmentation analysis:
By component
The software sector dominated the computational pathology market share with 68.2% in 2024, as AI-enabled platforms, machine learning algorithms, and image analysis tools are primarily integrated into diagnostic workflows. These services are expected to grow at the highest projected multi-year CAGR due to rising demand for cloud support, managed services, system integration, and training.
By use
The disease diagnostics segment accounted for 46.15% of the computer pathology market share in 2024 due to the increasing use of digital pathology in the diagnostic pathway in clinical settings, enabling improved accuracy, speed, and consistency of diagnosis. The academic research segment is likely to be the fastest growing market during the forecast period due to increasing research collaborations between universities, healthcare providers, and AI companies.
By technology
Machine learning segment dominated the computational pathology market share in 2024 due to its ability to efficiently analyze complex image data, detect patterns, and improve the quality of diagnosis. Natural language processing (NLP) models segment is expected to be the fastest growing segment during the forecast period due to the compelling requirement to extract meaningful insights from unstructured pathology reports, clinical notes, and research literature.
By end use
The hospital and diagnostic laboratories segment dominated the computational pathology market accounting for 68.14% in 2024 due to the growing need for effective, accurate, and scalable diagnosis in clinical settings. The biotechnology and pharmaceutical companies segment is expected to show the highest growth over the forecast period as computational pathology is important for drug discovery, cross-border research, and production of biomarkers.
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Regional insights:
North America The company dominated the computational pathology market with a market share of 40.10% in 2024 due to the increase in healthcare infrastructure with previous technologies and independent and personal use of digital technologies with support from FDA.
Asia Pacific Driven by rising healthcare spending, rising patient awareness towards digital health, and increasing burden of chronic diseases, it is expected to be the fastest growing region for the computational pathology market, at a CAGR of 9.17% during the forecast period.
Profiles of major computational pathology companies
- Koninklijke Philips NV
- F. Hoffman La Roche Co., Ltd.
- PathAI Co., Ltd.
- Hamamatsu Photonics Co., Ltd.
- Olympus Corporation
- Viziofarm A/S
- Microscan Technologies Co., Ltd.
- Mindpeak GmbH
- Indica Lab LLC
- Nuclear Eye Co., Ltd.
- Prussia Co., Ltd.
- Ibex Medical Analytics Co., Ltd.
- 3D Histec Co., Ltd.
- leica biosystems
- Apollo Enterprise Imaging Corporation
- Applied Spectral Imaging (ASI)
- Kibim
- Orkin
- gene data
- iforia technologies
Recent developments:
- April 29, 2025 – Roche We reported that the U.S. Food and Drug Administration (FDA) has granted breakthrough device designation to the VENTANA® TROP2 (EPR20043) RxDx device. This is the first time a Computed Pathology Companion Diagnostic (CDx) device has received such a designation, highlighting its innovative potential in high-precision diagnostics.
- June 2025 – PathAI, The company, a leading provider of AI-powered pathology solutions, has entered into a multi-year strategic alliance with Northwestern Medicine, a leading integrated academic health system in Chicago. As part of the partnership, Northwestern Medicine will implement PathAI’s AISight digital pathology image management system to improve diagnostic efficiency and quality in pathology workflows.
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Dedicated section of the report (USP):
- Global adoption and penetration index – Helps understand how computational pathology tools are being adopted locally and across healthcare settings, highlighting key drivers and barriers impacting adoption.
- AI implementation strength score – Assess the level of AI integration in pathology laboratories by technology type (machine learning, NLP, computer vision) to help assess usage trends across clinical diagnostic and research environments.
- Drug development integration matrix – Help identify how computational pathology is being incorporated into pharmaceutical and biotech pipelines, including biomarker discovery, stratified testing, and collaboration with AI technology vendors.
- Benchmarking workflow and efficiency improvements – Helps quantify faster diagnostic turnaround times, lower operational costs, and increased productivity through AI-powered pathology workflows.
- High-precision medical impact analysis device – Help assess how computational pathology accelerates translational research, enhances patient stratification, and enhances precision medicine efforts across therapeutic areas.
- Collaboration and ecological landscapes – Helps assess the strength of partnerships between hospitals, research labs, pharmaceutical companies, and AI developers, backed by insights into adoption momentum and value creation across stakeholder groups.
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Scope of the Protein Degradation Market Report Covered
| Report attributes | detail |
| Market size in 2024 | $648.3 million |
| Market size by 2032 | 1,251.72 million USD |
| CAGR | CAGR from 2025 to 2032 is 8.62% |
| base year | 2024 |
| Forecast period | 2025-2032 |
| Past data | 2021-2023 |
| Major segments | • By component (software, services) • By application (disease diagnosis, drug discovery and development, academic research) • By technology (machine learning (ML), natural language processing (NLP) models, computer vision, etc.) • By end use (hospitals and diagnostic laboratories, biotech and pharmaceutical companies, academic research institutes, etc.) |
| Regional analysis/coverage | North America (US, Canada), Europe (Germany, UK, France, Italy, Spain, Russia, Poland, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN countries, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Mexico, Colombia, Rest of Latin America). |
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