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全球計算病理學市場：市場規模、佔有率、趨勢分析（按組件、應用、技術、最終用途和地區分類）、細分市場預測（2025-2033 年）

Computational Pathology Market Size, Share & Trends Analysis Report By Component (Software, Services), By Application (Disease Diagnosis, Drug Discovery & Development), By Technology, By End-use, By Region, And Segment Forecasts, 2025 - 2033
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

計算病理學市場摘要

全球計算病理學市場預計在 2024 年達到 6.8248 億美元，預計到 2033 年將達到 14.4762 億美元，2025 年至 2033 年的複合年成長率為 9.0%。

成長的促進因素包括機器學習和人工智慧 (AI) 技術的日益融合、對快速診斷的先進解決方案日益成長的需求、慢性病患病率的上升，以及專注於開發先進解決方案的市場參與企業對醫療保健領域不斷增加的投資。

計算病理學市場的主要驅動力是慢性疾病（尤其是癌症）盛行率的不斷上升。癌症的高發生率使得病理學家必須利用病理數據來為患者制定個人化治療方案。因此，數位病理學越來越受到病理學家的青睞，因為它能夠加快診斷速度、提高診斷準確性，並提供治療提案以改善患者預後。例如，根據2023年8月發表在《病理學雜誌》（Journal of Pathology）上的一項研究，利用深度學習和人工智慧（AI）演算法分析和解讀病理組織影像有望顯著提高診斷準確性和效率，尤其是在癌症診斷和預後診斷。

將機器學習和人工智慧技術融入病理工作流程將顯著改變診斷過程。例如，普魯士於2024年10月推出了數位病理套件，旨在加速人工智慧模型的開發。這些工具使生命科學研究人員能夠將切片檢查切片影像轉化為可用於訓練底層模型、發現生物標記和改進診斷的定量數據。此類解決方案的開發能夠實現影像的快速準確分析，幫助病理學家識別指示疾病進展的模式。透過自動化常規任務，人工智慧使病理學家能夠專注於更複雜的診斷挑戰，從而提高效率和準確性。這種轉變將提高診斷準確性，並透過預測建模支持個人化醫療的發展。

目錄

第1章 分析方法和範圍

第2章執行摘要

第3章：計算病理學市場：促進因素、趨勢與範圍

  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
    • 市場問題分析
  • 計算病理學市場：分析工具
    • 產業分析：波特五力分析
    • PESTEL 分析
    • 科技趨勢分析
    • 案例研究分析

第4章 計算病理學市場：按組件分類的估算和趨勢分析

  • 按組件分類的市場佔有率（2024 年和 2033 年）
  • 細分儀表板
  • 全球計算病理學市場：未來展望（按組件分類）
  • 軟體
  • 服務

第5章 計算病理學市場：按應用分類的估算和趨勢分析

  • 按應用領域分類的市場佔有率（2024 年和 2033 年）
  • 細分儀表板
  • 全球計算病理學市場：未來展望（按應用領域分類）
  • 疾病診斷
  • 藥物發現與開發
  • 學術研究

第6章：計算病理學市場：依技術分類的估算與趨勢分析

  • 按技術分類的市場佔有率（2024 年和 2033 年）
  • 細分儀表板
  • 全球計算病理學市場：未來展望（按技術分類）
  • 機器學習（ML）
    • 深度學習
    • 受監督
    • 無人監管
    • 其他
  • 自然語言處理（NLP）模型
  • 電腦視覺
  • 其他

第7章 計算病理學市場：依最終用途分類的估算與趨勢分析

  • 按最終用途分類的市場佔有率（2024 年和 2033 年）
  • 細分儀表板
  • 全球計算病理學市場：未來展望（按最終用途分類）
  • 醫院、診斷實驗室
  • 生物技術和製藥公司
  • 學術研究機構
  • 其他

第8章 計算病理學市場：區域估算和趨勢分析（按組件、應用、技術和最終用途分類）

  • 按地區分類的市場佔有率分析（2024 年和 2033 年）
  • 市場概覽：按地區
  • 全球市場概覽：按地區分類
  • 市場規模預測及趨勢分析（2021-2033）
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 挪威
    • 瑞典
    • 丹麥
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 韓國
    • 泰國
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特

第9章 競爭情勢

  • 主要市場參與企業的最新趨勢和影響分析
  • 公司/競爭對手分類
  • 主要企業市佔率/地位分析（2024 年）
  • 公司簡介
    • Leica Biosystems Nussloch GmbH（subsidiary of Danaher）
    • Hamamatsu Photonics KK
    • Koninklijke Philips NV
    • Olympus Corporation
    • F. Hoffmann-La Roche Ltd.
    • Aiforia/Aiforia Technologies PLC
    • Epredia（3DHISTECH Ltd.）
    • Visiopharm A/S
    • Proscia Inc.
    • Mindpeak GmbH
    • Akoya Biosciences, Inc.（a Quanterix company）
    • Paige AI, Inc.
    • CellaVision
    • aetherAI
    • Qritive
    • IBEX（IBEX MEDICAL ANALYTICS）
    • Nucleai, Inc.
Product Code: GVR-4-68040-548-5

Computational Pathology Market Summary

The global computational pathology market size was estimated at USD 682.48 million in 2024 and is projected to reach USD 1,447.62 million by 2033, growing at a CAGR of 9.0% from 2025 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 by market players focused on developing advanced solutions.

The computational pathology market is predominantly propelled by the increasing incidence of chronic diseases, notably cancer. The high prevalence of cancer necessitates pathologists to utilize pathology data that can aid in tailoring personalized 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 promises 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.

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 component, 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 & Diagnostic Labs
  • Biotechnology & Pharmaceutical Companies
  • Academic & Research Institutes
  • Other
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Denmark
    • Sweden
    • Norway
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • South Korea
    • Thailand
  • Latin America
    • Brazil
    • Argentina
  • 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
    • 1.1.6. Estimates and forecast timeline.
  • 1.2. Research Methodology
  • 1.3. Information Procurement
    • 1.3.1. Purchased database.
    • 1.3.2. GVR's internal database
    • 1.3.3. Secondary sources
    • 1.3.4. Primary research
    • 1.3.5. Details of primary research
  • 1.4. Information or Data Analysis
    • 1.4.1. Data analysis models
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
    • 1.6.1. Commodity flow analysis (Model 1)
    • 1.6.2. Approach 1: Commodity flow approach
  • 1.7. List of Secondary Sources
  • 1.8. List of Primary Sources
  • 1.9. 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 the 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. Lack of reimbursement for computational pathology-enabled services
      • 3.1.2.2. Data security and privacy
    • 3.1.3. Market Opportunity Analysis
    • 3.1.4. Market Challenge Analysis
  • 3.2. Computational Pathology Market Analysis Tools
    • 3.2.1. Industry Analysis - Porter's
      • 3.2.1.1. Supplier power
      • 3.2.1.2. Buyer power
      • 3.2.1.3. Substitution threat
      • 3.2.1.4. Threat of new entrant
      • 3.2.1.5. Competitive rivalry
    • 3.2.2. PESTEL Analysis
      • 3.2.2.1. Political landscape
      • 3.2.2.2. Economic landscape
      • 3.2.2.3. Social landscape
      • 3.2.2.4. Technological landscape
      • 3.2.2.5. Environmental landscape
      • 3.2.2.6. Legal landscape
    • 3.2.3. Technology Trends Analysis
    • 3.2.4. Case Study Analysis

Chapter 4. Computational Pathology Market: Component Estimates & Trend Analysis

  • 4.1. Component Market Share, 2024 & 2033
  • 4.2. Segment Dashboard
  • 4.3. Global Computational Pathology Market by Component Outlook
  • 4.4. Software
    • 4.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 4.5. Services
    • 4.5.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 5. Computational Pathology Market: Application Estimates & Trend Analysis

  • 5.1. Application Market Share, 2024 & 2033
  • 5.2. Segment Dashboard
  • 5.3. Global Computational Pathology Market by Application Outlook
  • 5.4. Disease Diagnosis
    • 5.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 5.5. Drug Discovery & Development
    • 5.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 5.6. Academic Research
    • 5.6.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 6. Computational Pathology Market: Technology Estimates & Trend Analysis

  • 6.1. Technology Market Share, 2024 & 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 forecast 2021 to 2033 (USD Million)
    • 6.4.2. Deep Learning
      • 6.4.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 6.4.3. Supervised
      • 6.4.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 6.4.4. Unsupervised
      • 6.4.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 6.4.5. Others
      • 6.4.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 6.5. Natural Language Processing (NLP) Models
    • 6.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 6.6. Computer Vision
    • 6.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 6.7. Others
    • 6.7.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 7. Computational Pathology Market: End Use Estimates & Trend Analysis

  • 7.1. End Use Market Share, 2024 & 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 forecast 2021 to 2033 (USD Million)
  • 7.5. Biotechnology and Pharmaceutical Companies
    • 7.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 7.6. Academic and Research Institutes
    • 7.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
  • 7.7. Others
    • 7.7.1. Market estimates and forecast 2021 to 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, 2024 & 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 to 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 to 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. Canada market estimates and forecasts 2021 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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 to 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, 2024
  • 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

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 Computational Pathology Market outlook
  • Fig. 9 Computational Pathology competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 Industry value chain analysis
  • Fig. 14 Computational Pathology Market driver impact
  • Fig. 15 Computational Pathology Market restraint impact
  • Fig. 16 Computational Pathology Market strategic initiatives analysis
  • Fig. 17 Computational Pathology Market: Component movement analysis
  • Fig. 18 Computational Pathology Market: Component outlook and key takeaways
  • Fig. 19 Software market estimates and forecast, 2021 - 2033
  • Fig. 20 Services market estimates and forecast, 2021 - 2033
  • Fig. 21 Computational Pathology Market: Application movement analysis
  • Fig. 22 Computational Pathology Market: Application outlook and key takeaways
  • Fig. 23 Disease diagnosis market estimates and forecast, 2021 - 2033
  • Fig. 24 Drug discovery & development market estimates and forecast, 2021 - 2033
  • Fig. 25 Academic research market estimates and forecast, 2021 - 2033
  • Fig. 26 Computational Pathology Market: Technology movement analysis
  • Fig. 27 Computational Pathology Market: Technology outlook and key takeaways
  • Fig. 28 Machine Learning (ML) market estimates and forecast, 2021 - 2033
  • Fig. 29 Deep Learning market estimates and forecast, 2021 - 2033
  • Fig. 30 Supervised market estimates and forecast, 2021 - 2033
  • Fig. 31 Unsupervised market estimates and forecast, 2021 - 2033
  • Fig. 32 Others market estimates and forecast, 2021 - 2033
  • Fig. 33 Natural Language Processing (NLP) models market estimates and forecast, 2021 - 2033
  • Fig. 34 Computer vision market estimates and forecast, 2021 - 2033
  • Fig. 35 Others market estimates and forecast, 2021 - 2033
  • Fig. 36 Computational Pathology Market: End use movement analysis
  • Fig. 37 Computational Pathology Market: End use outlook and key takeaways
  • Fig. 38 Hospitals and Diagnostic Labs market estimates and forecast, 2021 - 2033
  • Fig. 39 Biotechnology and Pharmaceutical Companies market estimates and forecast, 2021 - 2033
  • Fig. 40 Academic and Research Institutes market estimates and forecast, 2021 - 2033
  • Fig. 41 Other market estimates and forecast, 2021 - 2033
  • Fig. 42 Global Computational Pathology Market: Regional movement analysis
  • Fig. 43 Global Computational Pathology Market: Regional outlook and key takeaways
  • Fig. 44 Global Computational Pathology Market share and leading players
  • Fig. 45 North America market share and leading players
  • Fig. 46 Europe market share and leading players
  • Fig. 47 Asia Pacific market share and leading players
  • Fig. 48 Latin America market share and leading players
  • Fig. 49 Middle East & Africa market share and leading players
  • Fig. 50 North America market estimates and forecasts, 2021 - 2033
  • Fig. 51 U S market estimates and forecasts, 2021 - 2033
  • Fig. 52 Canada market estimates and forecasts, 2021 - 2033
  • Fig. 53 Mexico market estimates and forecasts, 2021 - 2033
  • Fig. 54 Europe market estimates and forecasts, 2021 - 2033
  • Fig. 55 UK market estimates and forecasts, 2021 - 2033
  • Fig. 56 Germany market estimates and forecasts, 2021 - 2033
  • Fig. 57 France market estimates and forecasts, 2021 - 2033
  • Fig. 58 Italy market estimates and forecasts, 2021 - 2033
  • Fig. 59 Spain market estimates and forecasts, 2021 - 2033
  • Fig. 60 Denmark market estimates and forecasts, 2021 - 2033
  • Fig. 61 Sweden market estimates and forecasts, 2021 - 2033
  • Fig. 62 Norway market estimates and forecasts, 2021 - 2033
  • Fig. 63 Asia Pacific market estimates and forecasts, 2021 - 2033
  • Fig. 64 China market estimates and forecasts, 2021 - 2033
  • Fig. 65 Japan market estimates and forecasts, 2021 - 2033
  • Fig. 66 India market estimates and forecasts, 2021 - 2033
  • Fig. 67 Thailand market estimates and forecasts, 2021 - 2033
  • Fig. 68 South Korea market estimates and forecasts, 2021 - 2033
  • Fig. 69 Australia market estimates and forecasts, 2021 - 2033
  • Fig. 70 Latin America market estimates and forecasts, 2021 - 2033
  • Fig. 71 Brazil market estimates and forecasts, 2021 - 2033
  • Fig. 72 Argentina market estimates and forecasts, 2021 - 2033
  • Fig. 73 Middle East and Africa market estimates and forecasts, 2021 - 2033
  • Fig. 74 South Africa market estimates and forecasts, 2021 - 2033
  • Fig. 75 Saudi Arabia market estimates and forecasts, 2021 - 2033
  • Fig. 76 UAE market estimates and forecasts, 2021 - 2033
  • Fig. 77 Kuwait market estimates and forecasts, 2021 - 2033
  • Fig. 78 Market share of key market players- Computational Pathology Market
  • Fig. 79 Key Company Categorization
  • Fig. 80 Company Market Share/Position Analysis, 2024
  • Fig. 81 Strategic Framework
  • List of Fures
  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 Computational Pathology Market outlook
  • Fig. 9 Computational Pathology competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 Industry value chain analysis
  • Fig. 14 Computational Pathology Market driver impact
  • Fig. 15 Computational Pathology Market restraint impact
  • Fig. 16 Computational Pathology Market strategic initiatives analysis
  • Fig. 17 Computational Pathology Market: Component movement analysis
  • Fig. 18 Computational Pathology Market: Component outlook and key takeaways
  • Fig. 19 Software market estimates and forecast, 2021 - 2033
  • Fig. 20 Services market estimates and forecast, 2021 - 2033
  • Fig. 21 Computational Pathology Market: Application movement analysis
  • Fig. 22 Computational Pathology Market: Application outlook and key takeaways
  • Fig. 23 Disease diagnosis market estimates and forecast, 2021 - 2033
  • Fig. 24 Drug discovery & development market estimates and forecast, 2021 - 2033
  • Fig. 25 Academic research market estimates and forecast, 2021 - 2033
  • Fig. 26 Computational Pathology Market: Technology movement analysis
  • Fig. 27 Computational Pathology Market: Technology outlook and key takeaways
  • Fig. 28 Machine Learning (ML) market estimates and forecast, 2021 - 2033
  • Fig. 29 Deep Learning market estimates and forecast, 2021 - 2033
  • Fig. 30 Supervised market estimates and forecast, 2021 - 2033
  • Fig. 31 Unsupervised market estimates and forecast, 2021 - 2033
  • Fig. 32 Others market estimates and forecast, 2021 - 2033
  • Fig. 33 Natural Language Processing (NLP) models market estimates and forecast, 2021 - 2033
  • Fig. 34 Computer vision market estimates and forecast, 2021 - 2033
  • Fig. 35 Others market estimates and forecast, 2021 - 2033
  • Fig. 36 Computational Pathology Market: End use movement analysis
  • Fig. 37 Computational Pathology Market: End use outlook and key takeaways
  • Fig. 38 Hospitals and Diagnostic Labs market estimates and forecast, 2021 - 2033
  • Fig. 39 Biotechnology and Pharmaceutical Companies market estimates and forecast, 2021 - 2033
  • Fig. 40 Academic and Research Institutes market estimates and forecast, 2021 - 2033
  • Fig. 41 Other market estimates and forecast, 2021 - 2033
  • Fig. 42 Global Computational Pathology Market: Regional movement analysis
  • Fig. 43 Global Computational Pathology Market: Regional outlook and key takeaways
  • Fig. 44 Global Computational Pathology Market share and leading players
  • Fig. 45 North America market share and leading players
  • Fig. 46 Europe market share and leading players
  • Fig. 47 Asia Pacific market share and leading players
  • Fig. 48 Latin America market share and leading players
  • Fig. 49 Middle East & Africa market share and leading players
  • Fig. 50 North America market estimates and forecasts, 2021 - 2033
  • Fig. 51 U S market estimates and forecasts, 2021 - 2033
  • Fig. 52 Canada market estimates and forecasts, 2021 - 2033
  • Fig. 53 Mexico market estimates and forecasts, 2021 - 2033
  • Fig. 54 Europe market estimates and forecasts, 2021 - 2033
  • Fig. 55 UK market estimates and forecasts, 2021 - 2033
  • Fig. 56 Germany market estimates and forecasts, 2021 - 2033
  • Fig. 57 France market estimates and forecasts, 2021 - 2033
  • Fig. 58 Italy market estimates and forecasts, 2021 - 2033
  • Fig. 59 Spain market estimates and forecasts, 2021 - 2033
  • Fig. 60 Denmark market estimates and forecasts, 2021 - 2033
  • Fig. 61 Sweden market estimates and forecasts, 2021 - 2033
  • Fig. 62 Norway market estimates and forecasts, 2021 - 2033
  • Fig. 63 Asia Pacific market estimates and forecasts, 2021 - 2033
  • Fig. 64 China market estimates and forecasts, 2021 - 2033
  • Fig. 65 Japan market estimates and forecasts, 2021 - 2033
  • Fig. 66 India market estimates and forecasts, 2021 - 2033
  • Fig. 67 Thailand market estimates and forecasts, 2021 - 2033
  • Fig. 68 South Korea market estimates and forecasts, 2021 - 2033
  • Fig. 69 Australia market estimates and forecasts, 2021 - 2033
  • Fig. 70 Latin America market estimates and forecasts, 2021 - 2033
  • Fig. 71 Brazil market estimates and forecasts, 2021 - 2033
  • Fig. 72 Argentina market estimates and forecasts, 2021 - 2033
  • Fig. 73 Middle East and Africa market estimates and forecasts, 2021 - 2033
  • Fig. 74 South Africa market estimates and forecasts, 2021 - 2033
  • Fig. 75 Saudi Arabia market estimates and forecasts, 2021 - 2033
  • Fig. 76 UAE market estimates and forecasts, 2021 - 2033
  • Fig. 77 Kuwait market estimates and forecasts, 2021 - 2033
  • Fig. 78 Market share of key market players- Computational Pathology Market
  • Fig. 79 Key Company Categorization
  • Fig. 80 Company Market Share/Position Analysis, 2024
  • Fig. 81 Strategic Framework