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Asia Pacific AI in Pathology Market Size, Share & Trends Analysis Report By Neural Network, By Application (Drug Discovery, Disease Diagnosis & Prognosis, Clinical Workflow, and Others), By End User, By Component, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 142 Pages
  • January 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5925374
The Asia Pacific AI in Pathology Market would witness market growth of 16.8% CAGR during the forecast period (2023-2030).

AI in pathology refers to applying advanced computational algorithms and machine learning techniques to pathology, which involves studying and diagnosing diseases by examining tissues, organs, and bodily fluids. This integration enables automated analysis, interpretation, and decision-making, augmenting the capabilities of pathologists and contributing to more precise and timely diagnostics. In recent years, the convergence of AI and pathology has given rise to a transformative synergy, revolutionizing how to approach diagnostics, treatment, and research in healthcare. As technology continues to grow at an exceptional pace, the integration of AI into pathology has emerged as a game-changer, offering unprecedented opportunities to enhance efficiency, accuracy, and overall healthcare outcomes.

The shift from traditional microscopy to digital pathology has paved the way for AI integration. Digital pathology involves creating, managing, and interpreting pathology information in a digital format, facilitating seamless integration with AI algorithms. This trend has gained momentum as healthcare institutions recognize the benefits of centralized data storage, remote access, and enhanced collaboration among pathologists. Advances in machine learning algorithms have played a vital role in the evolution of AI in pathology. These algorithms, ranging from convolutional neural networks (CNNs) to deep learning models, can analyze vast amounts of pathology data with remarkable accuracy.

Economic growth in many Asia Pacific countries allows for increased healthcare infrastructure and technology investment. This economic development contributes to the adoption of AI in pathology in both public and private healthcare sectors. Many nations in the Asia Pacific are investing heavily in healthcare technology and infrastructure. Therefore, the factors mentioned above will propel market growth in this region.

The China market dominated the Asia Pacific AI in Pathology Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $4,406 Thousands by 2030. The Japan market is registering a CAGR of 16% during (2023 - 2030). Additionally, The India market is expected to witness a CAGR of 17.5% during (2023 - 2030).

Based on Neural Network, the market is segmented into Convolutional neural networks (CNNs), Generative adversarial networks (GANs), Recurrent neural networks (RNNs), and Others. Based on Application, the market is segmented into Drug Discovery, Disease Diagnosis & Prognosis, Clinical Workflow, and Others. Based on End User, the market is segmented into Pharmaceutical & Biotechnology Companies, Hospitals & Reference Laboratories, and Academic & Research Institutes. Based on Component, the market is segmented into Scanners, and Software. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Koninklijke Philips N.V., F. Hoffmann-La Roche Ltd., Hologic, Inc., Visiopharm A/S, Paige AI, Inc., PathAI, Inc., Aiforia Technologies Plc, Indica Labs, Inc., Optrascan, Inc. (Optra Ventures, LLC), MindPeak GmbH.

Scope of the Study

Market Segments Covered in the Report:

By Neural Network
  • Convolutional neural networks (CNNs)
  • Generative adversarial networks (GANs)
  • Recurrent neural networks (RNNs)
  • Others
By Application
  • Drug Discovery
  • Disease Diagnosis & Prognosis
  • Clinical Workflow
  • Others
By End User
  • Pharmaceutical & Biotechnology Companies
  • Hospitals & Reference Laboratories
  • Academic & Research Institutes
By Component
  • Scanners
  • Software
By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • Koninklijke Philips N.V.
  • F.Hoffmann-La Roche Ltd.
  • Hologic, Inc.
  • Visiopharm A/S
  • Paige AI, Inc.
  • PathAI, Inc.
  • Aiforia Technologies Plc
  • Indica Labs, Inc.
  • Optrascan, Inc. (Optra Ventures, LLC)
  • MindPeak GmbH

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

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 AI in Pathology Market, by Neural Network
1.4.2 Asia Pacific AI in Pathology Market, by Application
1.4.3 Asia Pacific AI in Pathology Market, by End User
1.4.4 Asia Pacific AI in Pathology Market, by Component
1.4.5 Asia Pacific AI in 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
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2022
4.2 Recent Strategies Deployed in AI in Pathology Market
4.3 Porter’s Five Forces Analysis
Chapter 5. Asia Pacific AI in Pathology Market, By Neural Network
5.1 Asia Pacific Convolutional neural networks (CNNs) Market, By Country
5.2 Asia Pacific Generative adversarial networks (GANs) Market, By Country
5.3 Asia Pacific Recurrent neural networks (RNNs) Market, By Country
5.4 Asia Pacific Others Market, By Country
Chapter 6. Asia Pacific AI in Pathology Market, By Application
6.1 Asia Pacific Drug Discovery Market, By Country
6.2 Asia Pacific Disease Diagnosis & Prognosis Market, By Country
6.3 Asia Pacific Clinical Workflow Market, By Country
6.4 Asia Pacific Others Market, By Country
Chapter 7. Asia Pacific AI in Pathology Market, By End User
7.1 Asia Pacific Pharmaceutical & Biotechnology Companies Market, By Country
7.2 Asia Pacific Hospitals & Reference Laboratories Market, By Country
7.3 Asia Pacific Academic & Research Institutes Market, By Country
Chapter 8. Asia Pacific AI in Pathology Market, By Component
8.1 Asia Pacific Scanners Market, By Country
8.2 Asia Pacific Software Market, By Country
Chapter 9. Asia Pacific AI in Pathology Market, By Country
9.1 China AI in Pathology Market
9.1.1 China AI in Pathology Market, By Neural Network
9.1.2 China AI in Pathology Market, By Application
9.1.3 China AI in Pathology Market, By End User
9.1.4 China AI in Pathology Market, By Component
9.2 Japan AI in Pathology Market
9.2.1 Japan AI in Pathology Market, By Neural Network
9.2.2 Japan AI in Pathology Market, By Application
9.2.3 Japan AI in Pathology Market, By End User
9.2.4 Japan AI in Pathology Market, By Component
9.3 India AI in Pathology Market
9.3.1 India AI in Pathology Market, By Neural Network
9.3.2 India AI in Pathology Market, By Application
9.3.3 India AI in Pathology Market, By End User
9.3.4 India AI in Pathology Market, By Component
9.4 South Korea AI in Pathology Market
9.4.1 South Korea AI in Pathology Market, By Neural Network
9.4.2 South Korea AI in Pathology Market, By Application
9.4.3 South Korea AI in Pathology Market, By End User
9.4.4 South Korea AI in Pathology Market, By Component
9.5 Singapore AI in Pathology Market
9.5.1 Singapore AI in Pathology Market, By Neural Network
9.5.2 Singapore AI in Pathology Market, By Application
9.5.3 Singapore AI in Pathology Market, By End User
9.5.4 Singapore AI in Pathology Market, By Component
9.6 Malaysia AI in Pathology Market
9.6.1 Malaysia AI in Pathology Market, By Neural Network
9.6.2 Malaysia AI in Pathology Market, By Application
9.6.3 Malaysia AI in Pathology Market, By End User
9.6.4 Malaysia AI in Pathology Market, By Component
9.7 Rest of Asia Pacific AI in Pathology Market
9.7.1 Rest of Asia Pacific AI in Pathology Market, By Neural Network
9.7.2 Rest of Asia Pacific AI in Pathology Market, By Application
9.7.3 Rest of Asia Pacific AI in Pathology Market, By End User
9.7.4 Rest of Asia Pacific AI in Pathology Market, By Component
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 Product Launches and Product Expansions:
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:
10.2.6 SWOT Analysis
10.3 Hologic, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 Visiopharm A/S
10.4.1 Company Overview
10.4.2 Recent strategies and developments:
10.4.2.1 Partnerships, Collaborations, and Agreements:
10.4.3 SWOT Analysis
10.5 Paige AI, Inc.
10.5.1 Company Overview
10.5.2 Recent strategies and developments:
10.5.2.1 Partnerships, Collaborations, and Agreements:
10.5.2.2 Product Launches and Product Expansions:
10.5.3 SWOT Analysis
10.6 PathAI, Inc.
10.6.1 Company Overview
10.6.2 Recent strategies and developments:
10.6.2.1 Partnerships, Collaborations, and Agreements:
10.6.3 SWOT Analysis
10.7 Aiforia Technologies Plc
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Recent strategies and developments:
10.7.3.1 Partnerships, Collaborations, and Agreements:
10.7.4 SWOT Analysis
10.8 Indica Labs, Inc.
10.8.1 Company Overview
10.8.2 Recent strategies and developments:
10.8.2.1 Partnerships, Collaborations, and Agreements:
10.8.3 SWOT Analysis
10.9 Optrascan, Inc. (Optra Ventures, LLC)
10.9.1 Company Overview
10.9.2 Recent strategies and developments:
10.9.2.1 Partnerships, Collaborations, and Agreements:
10.9.2.2 Product Launches and Product Expansions:
10.9.3 SWOT Analysis
10.10. MindPeak GmbH
10.10.1 Company Overview
10.10.2 Recent strategies and developments:
10.10.2.1 Partnerships, Collaborations, and Agreements:
10.10.3 SWOT Analysis

Companies Mentioned

  • Koninklijke Philips N.V.
  • F. Hoffmann-La Roche Ltd.
  • Hologic, Inc.
  • Visiopharm A/S
  • Paige AI, Inc.
  • PathAI, Inc.
  • Aiforia Technologies Plc
  • Indica Labs, Inc.
  • Optrascan, Inc. (Optra Ventures, LLC)
  • MindPeak GmbH

Methodology

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