Product Code: GVR-4-68040-548-5
Computational Pathology Market Summary
The global computational pathology market size was estimated at USD 728.68 million in 2025 and is projected to reach USD 1,447.62 million by 2033, growing at a CAGR of 9.21% from 2026 to 2033. The growth is attributed to the rising integration of machine learning and artificial intelligence (AI) technologies, the increasing demand for advanced solutions for faster diagnosis, the rising prevalence of chronic diseases, and increasing investment in healthcare, supported by market players focused on developing advanced solutions.
The growing prevalence of chronic diseases, such as cancer, predominantly drives the market. Owing to the high prevalence of cancer, pathologists require pathology data that can facilitate customizing therapies for patients. Thereby, digital pathology is increasingly being preferred by pathologists, as it accelerates the rate of diagnosis, increases diagnostic accuracy, and provides therapeutic recommendations to improve patient outcomes. For instance, according to a study published in the Journal of Pathology in August 2023, deep learning and artificial intelligence (AI) algorithms to analyze and interpret histopathology images promise substantial improvements in diagnostic accuracy and efficiency, especially for cancer diagnosis and prognosis.
The incorporation of machine learning and AI technologies into pathology workflows significantly transforms the diagnostic process. For instance, in October 2024, Proscia introduced digital pathology toolkits designed to facilitate the development of AI models. These tools enable life science researchers to convert biopsy slide images into quantitative data for training foundation models, improving biomarker discovery, and diagnostics. The development of such solutions enables the rapid and accurate analysis of images, allowing pathologists to identify patterns that may indicate disease progression. By automating routine tasks, AI enables pathologists to focus on more complex diagnostic challenges, thereby improving efficiency and accuracy. This shift enhances diagnostic precision and supports the development of personalized medicine through predictive modeling.
The market holds substantial opportunities driven by significant factors. Advances in artificial intelligence (AI), machine learning (ML), and digital imaging are transforming pathological workflows, enabling faster, more precise analysis of tissue slides and providing critical insights into disease diagnosis and prognosis. This technological progress is addressing the growing demand for rapid, accurate diagnostics, owing to the rising global prevalence of chronic diseases such as cancer and cardiovascular conditions.
Moreover, increasing adoption of telepathology is expanding remote expert consultations and improving healthcare access, especially in underserved regions. Integrating digital health systems enhances laboratory efficiency, automates routine tasks, and allows pathologists to focus on complex diagnostics, fostering greater accuracy and personalized medicine development. Furthermore, rising investments by healthcare providers and industry players in developing AI-powered pathology solutions stimulate innovation and market growth.
Global Computational Pathology Market Report Segmentation
This report forecasts revenue growth and provides, at global, regional, and country levels, an analysis of the latest trends in each of the sub-segments from 2021 to 2033. For this report, Grand View Research has segmented the global computational pathology market report based on components, application, technology, end-use, and region:
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Software
- Services
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Disease Diagnosis
- Drug Discovery & Development
- Academic Research
- Technology Outlook (Revenue, USD Million, 2021 - 2033)
- Machine Learning (ML)
- Deep Learning
- Supervised
- Unsupervised
- Others
- Natural Language Processing (NLP) Models
- Computer Vision
- Others
- End-use Outlook (Revenue, USD Million, 2021 - 2033)
- Hospitals and Diagnostic Labs
- Biotechnology and Pharmaceutical Companies
- Academic and Research Institutes
- Other
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- Japan
- China
- India
- Australia
- South Korea
- Thailand
- Latin America
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
Chapter 1. Research Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.1.1. Regional scope
- 1.1.2. Component
- 1.1.3. Technology
- 1.1.4. Application
- 1.1.5. End Use
- 1.2. Estimates and forecast timeline.
- 1.3. Research Methodology
- 1.4. Information Procurement
- 1.4.1. Purchased database.
- 1.4.2. GVR's internal database
- 1.4.3. Secondary sources
- 1.4.4. Primary research
- 1.4.5. Details of primary research
- 1.5. Information or Data Analysis
- 1.5.1. Data analysis models
- 1.6. Market Formulation & Validation
- 1.7. Model Details
- 1.7.1. Commodity flow analysis (Model 1)
- 1.7.2. Approach 1: Commodity flow approach
- 1.8. List of Secondary Sources
- 1.9. List of Primary Sources
- 1.10. Objectives
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.2.1. Component
- 2.2.2. Technology
- 2.2.3. Application
- 2.2.4. End Use
- 2.2.5. Regional outlook
- 2.3. Competitive Insights
Chapter 3. Computational Pathology Market Variables, Trends & Scope
- 3.1. Market Dynamics
- 3.1.1. Market driver analysis
- 3.1.1.1. Increasing prevalence of chronic diseases
- 3.1.1.2. Higher cost-efficiency
- 3.1.1.3. Rapid technological advancements in computational pathology
- 3.1.1.4. Emergence of Quantitative Continuous Scoring (QCS) in digital pathology
- 3.1.2. Market restraint analysis
- 3.1.2.1. High cost of implementing digital and computational pathology solutions
- 3.1.2.2. Stringent regulatory requirements
- 3.1.3. Market Opportunity Analysis
- 3.1.4. Market Challenge Analysis
- 3.2. Case Study Insights
- 3.3. Computational Pathology Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's Five Forces Analysis
- 3.3.1.1. Supplier power
- 3.3.1.2. Buyer power
- 3.3.1.3. Substitution threat
- 3.3.1.4. Threat of new entrant
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic landscape
- 3.3.2.3. Social landscape
- 3.3.2.4. Technological landscape
- 3.3.2.5. Environmental landscape
- 3.3.2.6. Legal landscape
- 3.3.3. Technology Trends Analysis
Chapter 4. Computational Pathology Market: Component Estimates & Trend Analysis
- 4.1. Component Market Share, 2025 & 2033
- 4.2. Segment Dashboard
- 4.3. Global Computational Pathology Market by Component Outlook
- 4.4. Software
- 4.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 4.5. Services
- 4.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 5. Computational Pathology Market: Application Estimates & Trend Analysis
- 5.1. Application Market Share, 2025 & 2033
- 5.2. Segment Dashboard
- 5.3. Global Computational Pathology Market by Application Outlook
- 5.4. Disease Diagnosis
- 5.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 5.5. Drug Discovery & Development
- 5.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 5.6. Academic Research
- 5.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 6. Computational Pathology Market: Technology Estimates & Trend Analysis
- 6.1. Technology Market Share, 2025 & 2033
- 6.2. Segment Dashboard
- 6.3. Global Computational Pathology Market by Technology Outlook
- 6.4. Machine Learning (ML)
- 6.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.4.2. Deep Learning
- 6.4.2.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.4.3. Supervised
- 6.4.3.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.4.4. Unsupervised
- 6.4.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.4.5. Others
- 6.4.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.5. Natural Language Processing (NLP) Models
- 6.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.6. Computer Vision
- 6.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.7. Others
- 6.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 7. Computational Pathology Market: End Use Estimates & Trend Analysis
- 7.1. End Use Market Share, 2025 & 2033
- 7.2. Segment Dashboard
- 7.3. Global Computational Pathology Market by End Use Outlook
- 7.4. Hospitals and Diagnostic Labs
- 7.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5. Biotechnology and Pharmaceutical Companies
- 7.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.6. Academic and Research Institutes
- 7.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7. Others
- 7.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 8. Computational Pathology Market: Regional Estimates & Trend Analysis, By Component, By Application, By Technology, By End Use
- 8.1. Regional Market Share Analysis, 2025 & 2033
- 8.2. Regional Market Dashboard
- 8.3. Global Regional Market Snapshot
- 8.4. Market Size & Forecasts Trend Analysis, 2021 to 2033:
- 8.5. North America
- 8.5.1. U.S.
- 8.5.1.1. Key country dynamics
- 8.5.1.2. Regulatory framework
- 8.5.1.3. Competitive scenario
- 8.5.1.4. U.S. market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.2. Canada
- 8.5.2.1. Key country dynamics
- 8.5.2.2. Regulatory framework
- 8.5.2.3. Competitive scenario
- 8.5.2.4. Canada market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.3. Mexico
- 8.5.3.1. Key country dynamics
- 8.5.3.2. Regulatory framework
- 8.5.3.3. Competitive scenario
- 8.5.3.4. Mexico market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6. Europe
- 8.6.1. UK
- 8.6.1.1. Key country dynamics
- 8.6.1.2. Regulatory framework
- 8.6.1.3. Competitive scenario
- 8.6.1.4. UK market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.2. Germany
- 8.6.2.1. Key country dynamics
- 8.6.2.2. Regulatory framework
- 8.6.2.3. Competitive scenario
- 8.6.2.4. Germany market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.3. France
- 8.6.3.1. Key country dynamics
- 8.6.3.2. Regulatory framework
- 8.6.3.3. Competitive scenario
- 8.6.3.4. France market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.4. Italy
- 8.6.4.1. Key country dynamics
- 8.6.4.2. Regulatory framework
- 8.6.4.3. Competitive scenario
- 8.6.4.4. Italy market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.5. Spain
- 8.6.5.1. Key country dynamics
- 8.6.5.2. Regulatory framework
- 8.6.5.3. Competitive scenario
- 8.6.5.4. Spain market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.6. Norway
- 8.6.6.1. Key country dynamics
- 8.6.6.2. Regulatory framework
- 8.6.6.3. Competitive scenario
- 8.6.6.4. Norway market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.7. Sweden
- 8.6.7.1. Key country dynamics
- 8.6.7.2. Regulatory framework
- 8.6.7.3. Competitive scenario
- 8.6.7.4. Sweden market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.8. Denmark
- 8.6.8.1. Key country dynamics
- 8.6.8.2. Regulatory framework
- 8.6.8.3. Competitive scenario
- 8.6.8.4. Denmark market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7. Asia Pacific
- 8.7.1. Japan
- 8.7.1.1. Key country dynamics
- 8.7.1.2. Regulatory framework
- 8.7.1.3. Competitive scenario
- 8.7.1.4. Japan market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.2. China
- 8.7.2.1. Key country dynamics
- 8.7.2.2. Regulatory framework
- 8.7.2.3. Competitive scenario
- 8.7.2.4. China market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.3. India
- 8.7.3.1. Key country dynamics
- 8.7.3.2. Regulatory framework
- 8.7.3.3. Competitive scenario
- 8.7.3.4. India market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.4. Australia
- 8.7.4.1. Key country dynamics
- 8.7.4.2. Regulatory framework
- 8.7.4.3. Competitive scenario
- 8.7.4.4. Australia market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.5. South Korea
- 8.7.5.1. Key country dynamics
- 8.7.5.2. Regulatory framework
- 8.7.5.3. Competitive scenario
- 8.7.5.4. South Korea market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.6. Thailand
- 8.7.6.1. Key country dynamics
- 8.7.6.2. Regulatory framework
- 8.7.6.3. Competitive scenario
- 8.7.6.4. Singapore market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8. Latin America
- 8.8.1. Brazil
- 8.8.1.1. Key country dynamics
- 8.8.1.2. Regulatory framework
- 8.8.1.3. Competitive scenario
- 8.8.1.4. Brazil market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8.2. Argentina
- 8.8.2.1. Key country dynamics
- 8.8.2.2. Regulatory framework
- 8.8.2.3. Competitive scenario
- 8.8.2.4. Argentina market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.9. MEA
- 8.9.1. South Africa
- 8.9.1.1. Key country dynamics
- 8.9.1.2. Regulatory framework
- 8.9.1.3. Competitive scenario
- 8.9.1.4. South Africa market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.9.2. Saudi Arabia
- 8.9.2.1. Key country dynamics
- 8.9.2.2. Regulatory framework
- 8.9.2.3. Competitive scenario
- 8.9.2.4. Saudi Arabia market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.9.3. UAE
- 8.9.3.1. Key country dynamics
- 8.9.3.2. Regulatory framework
- 8.9.3.3. Competitive scenario
- 8.9.3.4. UAE market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.9.4. Kuwait
- 8.9.4.1. Key country dynamics
- 8.9.4.2. Regulatory framework
- 8.9.4.3. Competitive scenario
- 8.9.4.4. Kuwait market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Recent Developments & Impact Analysis, By Key Market Participants
- 9.2. Company/Competition Categorization
- 9.3. Key company market share/position analysis, 2025
- 9.4. Company Profiles
- 9.4.1. Leica Biosystems Nussloch GmbH (subsidiary of Danaher)
- 9.4.1.1. Company overview
- 9.4.1.2. Financial performance
- 9.4.1.3. Product benchmarking
- 9.4.1.4. Strategic initiatives
- 9.4.2. Hamamatsu Photonics K.K.
- 9.4.2.1. Company overview
- 9.4.2.2. Financial performance
- 9.4.2.3. Product benchmarking
- 9.4.2.4. Strategic initiatives
- 9.4.3. Koninklijke Philips N.V.
- 9.4.3.1. Company overview
- 9.4.3.2. Financial performance
- 9.4.3.3. Product benchmarking
- 9.4.3.4. Strategic initiatives
- 9.4.4. Olympus Corporation
- 9.4.4.1. Company overview
- 9.4.4.2. Financial performance
- 9.4.4.3. Product benchmarking
- 9.4.4.4. Strategic initiatives
- 9.4.5. F. Hoffmann-La Roche Ltd.
- 9.4.5.1. Company overview
- 9.4.5.2. Financial performance
- 9.4.5.3. Product benchmarking
- 9.4.5.4. Strategic initiatives
- 9.4.6. Aiforia/ Aiforia Technologies PLC
- 9.4.6.1. Company overview
- 9.4.6.2. Financial performance
- 9.4.6.3. Product benchmarking
- 9.4.6.4. Strategic initiatives
- 9.4.7. Epredia (3DHISTECH Ltd.)
- 9.4.7.1. Company overview
- 9.4.7.2. Financial performance
- 9.4.7.3. Product benchmarking
- 9.4.7.4. Strategic initiatives
- 9.4.8. Visiopharm A/S
- 9.4.8.1. Company overview
- 9.4.8.2. Financial performance
- 9.4.8.3. Product benchmarking
- 9.4.8.4. Strategic initiatives
- 9.4.9. Proscia Inc.
- 9.4.9.1. Company overview
- 9.4.9.2. Financial performance
- 9.4.9.3. Product benchmarking
- 9.4.9.4. Strategic initiatives
- 9.4.10. Mindpeak GmbH
- 9.4.10.1. Company overview
- 9.4.10.2. Financial performance
- 9.4.10.3. Product benchmarking
- 9.4.10.4. Strategic initiatives
- 9.4.11. Akoya Biosciences, Inc. (a Quanterix company)
- 9.4.11.1. Company overview
- 9.4.11.2. Financial performance
- 9.4.11.3. Product benchmarking
- 9.4.11.4. Strategic initiatives
- 9.4.12. Paige AI, Inc.
- 9.4.12.1. Company overview
- 9.4.12.2. Financial performance
- 9.4.12.3. Product benchmarking
- 9.4.12.4. Strategic initiatives
- 9.4.13. CellaVision
- 9.4.13.1. Company overview
- 9.4.13.2. Financial performance
- 9.4.13.3. Product benchmarking
- 9.4.13.4. Strategic initiatives
- 9.4.14. aetherAI
- 9.4.14.1. Company overview
- 9.4.14.2. Financial performance
- 9.4.14.3. Product benchmarking
- 9.4.14.4. Strategic initiatives
- 9.4.15. Qritive
- 9.4.15.1. Company overview
- 9.4.15.2. Financial performance
- 9.4.15.3. Product benchmarking
- 9.4.15.4. Strategic initiatives
- 9.4.16. IBEX (IBEX MEDICAL ANALYTICS)
- 9.4.16.1. Company overview
- 9.4.16.2. Financial performance
- 9.4.16.3. Product benchmarking
- 9.4.16.4. Strategic initiatives
- 9.4.17. Nucleai, Inc.
- 9.4.17.1. Company overview
- 9.4.17.2. Financial performance
- 9.4.17.3. Product benchmarking
- 9.4.17.4. Strategic initiatives