Home Pharmaceuticals Computational Pathology Market Size, Trends & Growth Report by 2034

Computational Pathology Market Size & Outlook, 2026-2034

Computational Pathology Market Size, Share & Trends Analysis Report By Component (Software, Services), By Application (Disease Diagnosis, Drug Discovery & Development, Academic Research), By Technology (Machine Learning (ML), Natural Language Processing (NLP) Models, Computer Vision, Others), By End-use (Hospitals and Diagnostic Labs, Biotechnology and Pharmaceutical Companies, Academic and Research Institutes, Other) and By Region(North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2026-2034

Report Code: SRPH58018DR
Last Updated : Dec, 2025
Pages : 110
Author : Debashree Bora
Format : PDF, Excel

Table Of Content

  1. Executive Summary

    1. Research Objectives
    2. Limitations & Assumptions
    3. Market Scope & Segmentation
    4. Currency & Pricing Considered
    1. Emerging Regions / Countries
    2. Emerging Companies
    3. Emerging Applications / End Use
    1. Drivers
    2. Market Warning Factors
    3. Latest Macro Economic Indicators
    4. Geopolitical Impact
    5. Technology Factors
    1. Porters Five Forces Analysis
    2. Value Chain Analysis
    1. North America
    2. Europe
    3. APAC
    4. Middle East and Africa
    5. LATAM
  2. ESG Trends

    1. Global Computational Pathology Market Introduction
    2. By Component
      1. Introduction
        1. Component By Value
      2. Software
        1. By Value
      3. Services
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Disease Diagnosis
        1. By Value
      3. Drug Discovery & Development
        1. By Value
      4. Academic Research
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning (ML)
        1. By Value
        2. Deep Learning
          1. Deep Learning By Value
        3. Supervised
          1. Supervised By Value
        4. Unsupervised
          1. Unsupervised By Value
        5. Others
          1. Others By Value
      3. Natural Language Processing (NLP) Models
        1. By Value
      4. Computer Vision
        1. By Value
      5. Others
        1. By Value
    5. By End-use
      1. Introduction
        1. End-use By Value
      2. Hospitals and Diagnostic Labs
        1. By Value
      3. Biotechnology and Pharmaceutical Companies
        1. By Value
      4. Academic and Research Institutes
        1. By Value
      5. Other
        1. By Value
    1. Introduction
    2. By Component
      1. Introduction
        1. Component By Value
      2. Software
        1. By Value
      3. Services
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Disease Diagnosis
        1. By Value
      3. Drug Discovery & Development
        1. By Value
      4. Academic Research
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning (ML)
        1. By Value
        2. Deep Learning
          1. Deep Learning By Value
        3. Supervised
          1. Supervised By Value
        4. Unsupervised
          1. Unsupervised By Value
        5. Others
          1. Others By Value
      3. Natural Language Processing (NLP) Models
        1. By Value
      4. Computer Vision
        1. By Value
      5. Others
        1. By Value
    5. By End-use
      1. Introduction
        1. End-use By Value
      2. Hospitals and Diagnostic Labs
        1. By Value
      3. Biotechnology and Pharmaceutical Companies
        1. By Value
      4. Academic and Research Institutes
        1. By Value
      5. Other
        1. By Value
    6. U.S.
      1. By Component
        1. Introduction
          1. Component By Value
        2. Software
          1. By Value
        3. Services
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Disease Diagnosis
          1. By Value
        3. Drug Discovery & Development
          1. By Value
        4. Academic Research
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning (ML)
          1. By Value
          2. Deep Learning
            1. Deep Learning By Value
          3. Supervised
            1. Supervised By Value
          4. Unsupervised
            1. Unsupervised By Value
          5. Others
            1. Others By Value
        3. Natural Language Processing (NLP) Models
          1. By Value
        4. Computer Vision
          1. By Value
        5. Others
          1. By Value
      4. By End-use
        1. Introduction
          1. End-use By Value
        2. Hospitals and Diagnostic Labs
          1. By Value
        3. Biotechnology and Pharmaceutical Companies
          1. By Value
        4. Academic and Research Institutes
          1. By Value
        5. Other
          1. By Value
    7. Canada
    1. Introduction
    2. By Component
      1. Introduction
        1. Component By Value
      2. Software
        1. By Value
      3. Services
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Disease Diagnosis
        1. By Value
      3. Drug Discovery & Development
        1. By Value
      4. Academic Research
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning (ML)
        1. By Value
        2. Deep Learning
          1. Deep Learning By Value
        3. Supervised
          1. Supervised By Value
        4. Unsupervised
          1. Unsupervised By Value
        5. Others
          1. Others By Value
      3. Natural Language Processing (NLP) Models
        1. By Value
      4. Computer Vision
        1. By Value
      5. Others
        1. By Value
    5. By End-use
      1. Introduction
        1. End-use By Value
      2. Hospitals and Diagnostic Labs
        1. By Value
      3. Biotechnology and Pharmaceutical Companies
        1. By Value
      4. Academic and Research Institutes
        1. By Value
      5. Other
        1. By Value
    6. U.K.
      1. By Component
        1. Introduction
          1. Component By Value
        2. Software
          1. By Value
        3. Services
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Disease Diagnosis
          1. By Value
        3. Drug Discovery & Development
          1. By Value
        4. Academic Research
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning (ML)
          1. By Value
          2. Deep Learning
            1. Deep Learning By Value
          3. Supervised
            1. Supervised By Value
          4. Unsupervised
            1. Unsupervised By Value
          5. Others
            1. Others By Value
        3. Natural Language Processing (NLP) Models
          1. By Value
        4. Computer Vision
          1. By Value
        5. Others
          1. By Value
      4. By End-use
        1. Introduction
          1. End-use By Value
        2. Hospitals and Diagnostic Labs
          1. By Value
        3. Biotechnology and Pharmaceutical Companies
          1. By Value
        4. Academic and Research Institutes
          1. By Value
        5. Other
          1. By Value
    7. Germany
    8. France
    9. Spain
    10. Italy
    11. Russia
    12. Nordic
    13. Benelux
    14. Rest of Europe
    1. Introduction
    2. By Component
      1. Introduction
        1. Component By Value
      2. Software
        1. By Value
      3. Services
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Disease Diagnosis
        1. By Value
      3. Drug Discovery & Development
        1. By Value
      4. Academic Research
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning (ML)
        1. By Value
        2. Deep Learning
          1. Deep Learning By Value
        3. Supervised
          1. Supervised By Value
        4. Unsupervised
          1. Unsupervised By Value
        5. Others
          1. Others By Value
      3. Natural Language Processing (NLP) Models
        1. By Value
      4. Computer Vision
        1. By Value
      5. Others
        1. By Value
    5. By End-use
      1. Introduction
        1. End-use By Value
      2. Hospitals and Diagnostic Labs
        1. By Value
      3. Biotechnology and Pharmaceutical Companies
        1. By Value
      4. Academic and Research Institutes
        1. By Value
      5. Other
        1. By Value
    6. China
      1. By Component
        1. Introduction
          1. Component By Value
        2. Software
          1. By Value
        3. Services
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Disease Diagnosis
          1. By Value
        3. Drug Discovery & Development
          1. By Value
        4. Academic Research
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning (ML)
          1. By Value
          2. Deep Learning
            1. Deep Learning By Value
          3. Supervised
            1. Supervised By Value
          4. Unsupervised
            1. Unsupervised By Value
          5. Others
            1. Others By Value
        3. Natural Language Processing (NLP) Models
          1. By Value
        4. Computer Vision
          1. By Value
        5. Others
          1. By Value
      4. By End-use
        1. Introduction
          1. End-use By Value
        2. Hospitals and Diagnostic Labs
          1. By Value
        3. Biotechnology and Pharmaceutical Companies
          1. By Value
        4. Academic and Research Institutes
          1. By Value
        5. Other
          1. By Value
    7. Korea
    8. Japan
    9. India
    10. Australia
    11. Taiwan
    12. South East Asia
    13. Rest of Asia-Pacific
    1. Introduction
    2. By Component
      1. Introduction
        1. Component By Value
      2. Software
        1. By Value
      3. Services
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Disease Diagnosis
        1. By Value
      3. Drug Discovery & Development
        1. By Value
      4. Academic Research
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning (ML)
        1. By Value
        2. Deep Learning
          1. Deep Learning By Value
        3. Supervised
          1. Supervised By Value
        4. Unsupervised
          1. Unsupervised By Value
        5. Others
          1. Others By Value
      3. Natural Language Processing (NLP) Models
        1. By Value
      4. Computer Vision
        1. By Value
      5. Others
        1. By Value
    5. By End-use
      1. Introduction
        1. End-use By Value
      2. Hospitals and Diagnostic Labs
        1. By Value
      3. Biotechnology and Pharmaceutical Companies
        1. By Value
      4. Academic and Research Institutes
        1. By Value
      5. Other
        1. By Value
    6. UAE
      1. By Component
        1. Introduction
          1. Component By Value
        2. Software
          1. By Value
        3. Services
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Disease Diagnosis
          1. By Value
        3. Drug Discovery & Development
          1. By Value
        4. Academic Research
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning (ML)
          1. By Value
          2. Deep Learning
            1. Deep Learning By Value
          3. Supervised
            1. Supervised By Value
          4. Unsupervised
            1. Unsupervised By Value
          5. Others
            1. Others By Value
        3. Natural Language Processing (NLP) Models
          1. By Value
        4. Computer Vision
          1. By Value
        5. Others
          1. By Value
      4. By End-use
        1. Introduction
          1. End-use By Value
        2. Hospitals and Diagnostic Labs
          1. By Value
        3. Biotechnology and Pharmaceutical Companies
          1. By Value
        4. Academic and Research Institutes
          1. By Value
        5. Other
          1. By Value
    7. Turkey
    8. Saudi Arabia
    9. South Africa
    10. Egypt
    11. Nigeria
    12. Rest of MEA
    1. Introduction
    2. By Component
      1. Introduction
        1. Component By Value
      2. Software
        1. By Value
      3. Services
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Disease Diagnosis
        1. By Value
      3. Drug Discovery & Development
        1. By Value
      4. Academic Research
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning (ML)
        1. By Value
        2. Deep Learning
          1. Deep Learning By Value
        3. Supervised
          1. Supervised By Value
        4. Unsupervised
          1. Unsupervised By Value
        5. Others
          1. Others By Value
      3. Natural Language Processing (NLP) Models
        1. By Value
      4. Computer Vision
        1. By Value
      5. Others
        1. By Value
    5. By End-use
      1. Introduction
        1. End-use By Value
      2. Hospitals and Diagnostic Labs
        1. By Value
      3. Biotechnology and Pharmaceutical Companies
        1. By Value
      4. Academic and Research Institutes
        1. By Value
      5. Other
        1. By Value
    6. Brazil
      1. By Component
        1. Introduction
          1. Component By Value
        2. Software
          1. By Value
        3. Services
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Disease Diagnosis
          1. By Value
        3. Drug Discovery & Development
          1. By Value
        4. Academic Research
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning (ML)
          1. By Value
          2. Deep Learning
            1. Deep Learning By Value
          3. Supervised
            1. Supervised By Value
          4. Unsupervised
            1. Unsupervised By Value
          5. Others
            1. Others By Value
        3. Natural Language Processing (NLP) Models
          1. By Value
        4. Computer Vision
          1. By Value
        5. Others
          1. By Value
      4. By End-use
        1. Introduction
          1. End-use By Value
        2. Hospitals and Diagnostic Labs
          1. By Value
        3. Biotechnology and Pharmaceutical Companies
          1. By Value
        4. Academic and Research Institutes
          1. By Value
        5. Other
          1. By Value
    7. Mexico
    8. Argentina
    9. Chile
    10. Colombia
    11. Rest of LATAM
    1. Computational Pathology Market Share By Players
    2. M&A Agreements & Collaboration Analysis
    1. Leica Biosystems Nussloch GmbH (subsidiary of Danaher)
      1. Overview
      2. Business Information
      3. Revenue
      4. ASP
      5. SWOT Analysis
      6. Recent Developments
    2. Hamamatsu Photonics K.K.
    3. Koninklijke Philips N.V.
    4. Olympus Corporation
    5. Hoffmann-La Roche Ltd.
    6. Aiforia/ Aiforia Technologies PLC
    7. Epredia (3DHISTECH Ltd.)
    8. Visiopharm A/S
    9. Proscia Inc.
    10. Mindpeak GmbH
    11. Akoya Biosciences, Inc. (a Quanterix company)
    12. Paige AI, Inc.
    13. CellaVision
    14. aetherAI
    15. Qritive
    16. IBEX
    17. Nucleai, Inc.
    18. Others
    1. Research Data
      1. Secondary Data
        1. Major secondary sources
        2. Key data from secondary sources
      2. Primary Data
        1. Key data from primary sources
        2. Breakdown of primaries
      3. Secondary And Primary Research
        1. Key industry insights
    2. Market Size Estimation
      1. Bottom-Up Approach
      2. Top-Down Approach
      3. Market Projection
    3. Research Assumptions
      1. Assumptions
    4. Limitations
    5. Risk Assessment
    1. Discussion Guide
    2. Customization Options
    3. Related Reports
  3. Disclaimer

Download Free Sample

Our Clients:

LG Electronics
AMCAD Engineering
KOBE STEEL LTD.
Hindustan National Glass & Industries Limited
Voith Group
International Paper
Hansol Paper
Whirlpool Corporation
Sony
Samsung Electronics
Qualcomm
Google
Fiserv
Veto-Pharma
Nippon Becton Dickinson
Merck
Argon Medical Devices
Abbott
Ajinomoto
Denon
Doosan
Meiji Seika Kaisha Ltd
LG Chemicals
LCY chemical group
Bayer
Airrane
BASF
Toyota Industries
Nissan Motors
Neenah
Mitsubishi
Hyundai Motor Company

We are featured on :

WhatsApp
Chat with us on WhatsApp