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Asia Pacific Computational Pathology Market Size, Share & Trends Analysis Report By Component (Software and Services), By Application, By End-use, By Technology, By Country and Growth Forecast, 2025 - 2032

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    Report

  • 150 Pages
  • April 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6077211
The Asia Pacific Computational Pathology Market is expected to witness market growth of 8.5% CAGR during the forecast period (2025-2032).

The China market dominated the Asia Pacific Computational Pathology Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $90.2 million by 2032. The Japan market is registering a CAGR of 8.1% during 2025-2032. Additionally, the India market is expected to showcase a CAGR of 9.8% during 2025-2032.



This pathology is also being used to study diseases of the nervous system, such as Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis. By analyzing brain tissue samples, computational tools can identify characteristic patterns of neurodegeneration, helping doctors diagnose and monitor these diseases' progression with a level of precision that was previously unattainable.

These pathology aids in diagnosing infections by analyzing tissue samples from infected patients. It allows for a more efficient identification of pathogens, such as bacteria, viruses, and fungi, in biopsy samples. This is particularly beneficial in cases where pathogens are difficult to identify through traditional methods. Another application of this pathology is cardiovascular disease diagnosis.

India’s hospital industry, which accounts for 80% of the total healthcare sector, is attracting significant investment from domestic and international players. With the healthcare industry expected to reach $132 billion by 2023, this investment surge is fuelling modernization efforts and encouraging the adoption of advanced diagnostic technologies. Computational pathology, with its ability to deliver faster and more precise diagnoses through AI-enabled analysis of pathology slides, is increasingly being integrated into hospitals and diagnostic centers. The push for digital transformation, a rising patient load, and a focus on early disease detection are making India a hotspot for computational pathology expansion. China’s pharmaceutical industry, valued at $161.8 billion in 2023 and accounting for about 30% of the global market, underscores the country’s pivotal role in global healthcare. The concurrent rise of the biotechnology sector is further accelerating the demand for cutting-edge diagnostic tools and platforms. In summary, India’s hospital expansion, China’s pharmaceutical dominance, and Japan’s aging demographic and tech-driven healthcare model collectively drive the market's rapid growth in Asia.

List of Key Companies Profiled

  • Koninklijke Philips N.V.
  • F.Hoffmann-La Roche Ltd.
  • PathAI, Inc.
  • Hamamatsu Photonics K.K.
  • Olympus Corporation
  • Visiopharm A/S
  • Mikroscan Technologies, Inc.
  • MindPeak GmbH
  • Indica Labs, LLC
  • Nucleai, Inc. (Nucleai)

Market Report Segmentation

By Component

  • Software
  • Services

By Application

  • Disease Diagnosis
  • Drug Discovery & Development
  • Academic Research

By End-use

  • Hospitals and Diagnostic Labs
  • Biotechnology & Pharmaceutical Companies
  • Academic and Research Institutes
  • Other End-use

By Technology

  • Machine Learning (ML)
  • Deep Learning
  • Other Machine Learning (ML)
  • Computer Vision
  • Natural Language Processing (NLP) Models
  • Other Technology

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Computational Pathology Market, by Component
1.4.2 Asia Pacific Computational Pathology Market, by Application
1.4.3 Asia Pacific Computational Pathology Market, by End-use
1.4.4 Asia Pacific Computational Pathology Market, by Technology
1.4.5 Asia Pacific Computational Pathology Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.3 Market Share Analysis, 2024
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements : 2022, Mar - 2025, Feb) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Asia Pacific Computational Pathology Market by Component
5.1 Asia Pacific Software Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific Computational Pathology Market by Application
6.1 Asia Pacific Disease Diagnosis Market by Country
6.2 Asia Pacific Drug Discovery & Development Market by Country
6.3 Asia Pacific Academic Research Market by Country
Chapter 7. Asia Pacific Computational Pathology Market by End-use
7.1 Asia Pacific Hospitals and Diagnostic Labs Market by Country
7.2 Asia Pacific Biotechnology & Pharmaceutical Companies Market by Country
7.3 Asia Pacific Academic and Research Institutes Market by Country
7.4 Asia Pacific Other End-use Market by Country
Chapter 8. Asia Pacific Computational Pathology Market by Technology
8.1 Asia Pacific Machine Learning (ML) Market by Country
8.2 Asia Pacific Computational Pathology Market by Machine Learning (ML) Type
8.2.1 Asia Pacific Deep Learning Market by Country
8.2.2 Asia Pacific Other Machine Learning (ML) Market by Country
8.3 Asia Pacific Computer Vision Market by Country
8.4 Asia Pacific Natural Language Processing (NLP) Models Market by Country
8.5 Asia Pacific Other Technology Market by Country
Chapter 9. Asia Pacific Computational Pathology Market by Country
9.1 China Computational Pathology Market
9.1.1 China Computational Pathology Market by Component
9.1.2 China Computational Pathology Market by Application
9.1.3 China Computational Pathology Market by End-use
9.1.4 China Computational Pathology Market by Technology
9.1.4.1 China Computational Pathology Market by Machine Learning (ML) Type
9.2 Japan Computational Pathology Market
9.2.1 Japan Computational Pathology Market by Component
9.2.2 Japan Computational Pathology Market by Application
9.2.3 Japan Computational Pathology Market by End-use
9.2.4 Japan Computational Pathology Market by Technology
9.2.4.1 Japan Computational Pathology Market by Machine Learning (ML) Type
9.3 India Computational Pathology Market
9.3.1 India Computational Pathology Market by Component
9.3.2 India Computational Pathology Market by Application
9.3.3 India Computational Pathology Market by End-use
9.3.4 India Computational Pathology Market by Technology
9.3.4.1 India Computational Pathology Market by Machine Learning (ML) Type
9.4 South Korea Computational Pathology Market
9.4.1 South Korea Computational Pathology Market by Component
9.4.2 South Korea Computational Pathology Market by Application
9.4.3 South Korea Computational Pathology Market by End-use
9.4.4 South Korea Computational Pathology Market by Technology
9.4.4.1 South Korea Computational Pathology Market by Machine Learning (ML) Type
9.5 Singapore Computational Pathology Market
9.5.1 Singapore Computational Pathology Market by Component
9.5.2 Singapore Computational Pathology Market by Application
9.5.3 Singapore Computational Pathology Market by End-use
9.5.4 Singapore Computational Pathology Market by Technology
9.5.4.1 Singapore Computational Pathology Market by Machine Learning (ML) Type
9.6 Malaysia Computational Pathology Market
9.6.1 Malaysia Computational Pathology Market by Component
9.6.2 Malaysia Computational Pathology Market by Application
9.6.3 Malaysia Computational Pathology Market by End-use
9.6.4 Malaysia Computational Pathology Market by Technology
9.6.4.1 Malaysia Computational Pathology Market by Machine Learning (ML) Type
9.7 Rest of Asia Pacific Computational Pathology Market
9.7.1 Rest of Asia Pacific Computational Pathology Market by Component
9.7.2 Rest of Asia Pacific Computational Pathology Market by Application
9.7.3 Rest of Asia Pacific Computational Pathology Market by End-use
9.7.4 Rest of Asia Pacific Computational Pathology Market by Technology
9.7.4.1 Rest of Asia Pacific Computational Pathology Market by Machine Learning (ML) Type
Chapter 10. Company Profiles
10.1 Koninklijke Philips N.V.
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.5 Recent Strategies and Developments
10.1.5.1 Partnerships, Collaborations, and Agreements
10.1.6 SWOT Analysis
10.2 F. Hoffmann-La Roche Ltd.
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent Strategies and Developments
10.2.5.1 Partnerships, Collaborations, and Agreements
10.2.5.2 Product Launches and Product Expansions
10.2.6 SWOT Analysis
10.3 PathAI, Inc.
10.3.1 Company Overview
10.3.2 Recent Strategies and Developments
10.3.2.1 Partnerships, Collaborations, and Agreements
10.3.2.2 Product Launches and Product Expansions
10.3.3 SWOT Analysis
10.4 Hamamatsu Photonics K.K.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental Analysis
10.4.4 Research & Development Expense
10.4.5 SWOT Analysis
10.5 Olympus Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 SWOT Analysis
10.6 Visiopharm A/S
10.6.1 Company Overview
10.6.2 Recent Strategies and Developments
10.6.2.1 Partnerships, Collaborations, and Agreements
10.6.2.2 Product Launches and Product Expansions
10.6.3 SWOT Analysis
10.7 Mikroscan Technologies, Inc.
10.7.1 Company Overview
10.8 MindPeak GmbH
10.8.1 Company Overview
10.8.2 Recent Strategies and Developments
10.8.2.1 Partnerships, Collaborations, and Agreements
10.9 Indica Labs, Inc.
10.9.1 Company Overview
10.9.2 Recent Strategies and Developments
10.9.2.1 Partnerships, Collaborations, and Agreements
10.9.3 SWOT Analysis
10.10. Nucleai, Inc. (Nucleai)
10.10.1 Company Overview
10.10.2 Recent Strategies and Developments
10.10.2.1 Partnerships, Collaborations, and Agreements

Companies Mentioned

  • Koninklijke Philips N.V.
  • F. Hoffmann-La Roche Ltd.
  • PathAI, Inc.
  • Hamamatsu Photonics K.K.
  • Olympus Corporation
  • Visiopharm A/S
  • Mikroscan Technologies, Inc.
  • MindPeak GmbH
  • Indica Labs, LLC
  • Nucleai, Inc. (Nucleai)

Methodology

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