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세계의 디지털 병리 진단 시장 규모, 점유율, 동향 분석 : 용도별, 제품별, 최종 용도별, 치료 영역별, 유형별, 지역별, 부문별 예측(2025-2033년)

Digital Pathology Market Size, Share & Trends Analysis Report By Application, By Product, By End Use, By Therapeutic Area, By Type, By Region, And Segment Forecasts, 2025 - 2033

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 185 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

디지털 병리 진단 시장 요약

세계의 디지털 병리 진단 시장 규모는 2024년에 13억 9,000만 달러로 평가되며, 2033년까지 29억 7,000만 달러에 달할 것으로 예측됩니다.

2025-2033년 연평균 복합 성장률(CAGR) 8.6%를 보일 것으로 예측됩니다. 이는 암 발병률 증가, 워크플로우 효율성의 중요성에 대한 관심 증가, 그리고 보다 빠른 진단 툴에 대한 수요 증가에 기인합니다.

또한 시장에서 활동하는 주요 기업의 신제품 출시, 원격 병리진단 도입 확대, 신약개발과 정밀의료에 대한 관심 증가에 따른 의료 분야 투자 증가가 시장 성장을 촉진하고 있습니다.

본 산업은 주로 암과 같은 만성질환 증가에 의해 주도되고 있습니다. 암의 높은 발병률을 배경으로 병리학자들은 환자별 맞춤 치료를 위해 병리 데이터를 필요로 하고 있습니다. 이에 따라 진단 속도 향상, 진단 정확도 향상, 환자 예후 개선을 위한 치료 권고안을 제공할 수 있는 디지털 병리 진단이 병리과 의사들 사이에서 점점 더 선호되고 있습니다. 예를 들어 2024년 『Breast Cancer Research』지에 게재된 연구에서는 유방암 진단에서 이미지 강조, 세분화, 분류의 정확도 향상을 위해 ResNet50, Transformer, Hover-net 등의 딥러닝 모델의 적용이 주목받고 있습니다. 이러한 사례는 시장의 성장 가능성을 보여줍니다.

의료 IT 솔루션의 도입 확대가 디지털 병리 진단 솔루션 수요를 견인하고 있습니다. 조직은 비용 절감, 프로세스 효율화, 자원 부족 해소, 효율적인 정보 공유를 촉진하기 위해 이러한 솔루션의 도입을 가속화하고 있습니다. 또한 다양한 과학 분야에서의 공동연구의 필요성 증가와 디지털 문서화의 확대도 수요를 견인하고 있습니다. 또한 검사실 효율성 향상을 위한 도입 확대, 원격진료의 급증, 동반진단 및 신약개발 분야에서의 적용 확대 등의 요인도 시장 성장에 기여할 것으로 예측됩니다.

또한 디지털 이미지의 분석 정확도 향상에 AI 기술이 활용되고 있습니다. 기존에는 병리과 의사가 조직 샘플에서 관심 영역을 수동으로 식별해야 했으나, 현재는 AI가 이 과정을 자동화하고 있습니다. 이러한 변화는 수작업에 대한 의존도를 낮추고 인적 오류의 위험을 최소화하며 병리 진단 업무의 자동화를 촉진하고 있습니다.

자주 묻는 질문

  • 디지털 병리 진단 시장 규모는 어떻게 예측되나요?
  • 디지털 병리 진단 시장의 성장 요인은 무엇인가요?
  • 디지털 병리 진단 시장에서 AI 기술은 어떤 역할을 하나요?
  • 디지털 병리 진단 시장에서 주요 기업은 어디인가요?
  • 디지털 병리 진단 시장의 주요 응용 분야는 무엇인가요?

목차

제1장 분석 방법·범위

제2장 개요

제3장 시장의 변동 요인·동향·범위

  • 시장 연관 전망
    • 모시장 전망
    • 관련/부수 시장 전망
  • 디지털 병리 진단 시장 : 시장 역학
    • 시장 성장 촉진요인의 분석
    • 시장 성장 억제요인의 분석
    • 시장 기회
    • 시장이 해결해야 할 과제
  • 비즈니스 환경 분석
    • 업계 분석 : Porter's Five Forces 분석
    • PESTEL 분석
  • 기술 동향 분석
  • 규제 프레임워크
  • 비용 구조 분석
  • 사용자 시점 분석
  • 사례 연구

제4장 디지털 병리 진단 시장 : 제품별 추정·동향 분석

  • 디지털 병리 진단 시장 : 주요 포인트, 제품별
  • 디지털 병리 진단 시장 : 시장 동향과 점유율 분석, 제품별(2024년·2033년)
  • 소프트웨어
  • 기기
    • 스캐너
    • 슬라이드 관리 시스템
  • 기록 시스템

제5장 디지털 병리 진단 시장 : 유형별 추정·동향 분석

  • 디지털 병리 진단 시장 : 주요 포인트, 유형별
  • 디지털 병리 진단 시장 : 시장 동향과 점유율 분석, 유형별(2024년·2033년)
  • 동물 병리 진단
  • 인간 병리 진단

제6장 디지털 병리 진단 시장 : 용도별 추정·동향 분석

  • 디지털 병리 진단 시장 : 주요 포인트, 용도별
  • 디지털 병리 진단 시장 : 시장 동향과 점유율 분석, 용도별(2024년·2033년)
  • Drug Discovery·의약품 개발
  • 학술연구
  • 질환 진단
    • 암세포 검출
    • 기타

제7장 디지털 병리 진단 시장 : 치료 영역별 추정·동향 분석

  • 디지털 병리 진단 시장 : 주요 포인트, 치료 영역별
  • 디지털 병리 진단 시장 : 시장 동향과 점유율 분석, 치료 영역별(2024년·2033년)
  • 종양
  • 순환기
  • 신경학
  • 기타(피부과, 감염증, 소화기계등 포함)

제8장 디지털 병리 진단 시장 : 최종 용도별 추정·동향 분석

  • 디지털 병리 진단 시장 : 주요 포인트, 최종 용도별
  • 디지털 병리 진단 시장 : 시장 동향과 점유율 분석, 최종 용도별(2024년·2033년)
  • 병원
  • 바이오테크놀러지·제약 기업
  • 진단 검사실
  • 학술·연구기관

제9장 디지털 병리 진단 시장 : 지역별 추정·동향 분석

  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 스페인
    • 러시아
    • 네덜란드
    • 스위스
    • 덴마크
    • 스웨덴
    • 노르웨이
  • 아시아태평양
    • 일본
    • 인도
    • 중국
    • 호주
    • 태국
    • 한국
    • 필리핀
    • 말레이시아
    • 싱가포르
    • 인도네시아
  • 라틴아메리카
    • 브라질
    • 아르헨티나
  • 중동 및 아프리카
    • 남아프리카공화국
    • 사우디아라비아
    • 아랍에미리트
    • 튀르키예
    • 이란
    • 이스라엘
    • 쿠웨이트

제10장 경쟁 구도

  • 기업 분류
  • 경쟁사 참여 전략
  • 비공개 회사/벤더 리스트 : 국가별·지역별
  • 시장 점유율 분석 : 기업별(2024년)
  • 전략 지도제작
  • 기업 개요/리스트
    • Leica Biosystems Nussloch GmbH(Danaher)
    • Hamamatsu Photonics, Inc.
    • Koninklijke Philips N.V.
    • Olympus Corporation
    • F. Hoffmann-La Roche Ltd.
    • Mikroscan Technologies, Inc.
    • Inspirata, Inc.
    • Epredia(3DHISTECH Ltd.)
    • Visiopharm A/S
    • Huron Technologies International Inc.
    • ContextVision AB
    • CellaVision
    • HANGZHOU ZHIWEI INFORMATION TECHNOLOGY CO. LTD.(MORPHOGO)
    • West Medica Produktions-und Handels-GmbH(West Medica)
    • aetherAI
    • IBEX(IBEX Medical Analytics)
    • SigTuple Technologies Private Limited
    • Morphle Labs, Inc.
    • Bionovation Biotech, Inc.
    • Scopio Labs
    • Path Hub
    • Sectra AB
    • Agfa-Gevaert Group
    • Aiosyn
    • Proscia Inc
    • EVIDENT
    • Aignostics, Inc.
    • Aiforia
    • Dedalus S.p.A
    • Qritive
    • Mindpeak GmbH
    • CGI Inc.
    • Gestalt
    • OptraScan
    • Agilent Technologies, Inc.
    • KFBIO
KSA

Digital Pathology Market Summary

The global digital pathology market size was valued at USD 1.39 billion in 2024 and is expected to reach USD 2.97 billion by 2033, growing at a CAGR of 8.6% from 2025 to 2033. This is attributed to the rising prevalence of cancer, increasing focus on improving the efficiency of workflow, and growing demand for faster diagnostic tools.

Moreover, rising investments in healthcare, aided by major key players operating in the market focusing on new launches, increasing adoption of telepathology, and an increasing focus on drug discovery and precision medicine, are propelling the market growth.

The industry is predominantly driven by the growing prevalence of chronic diseases such as cancer. As a consequence of the high prevalence of cancer, pathologists require pathology data that can facilitate customizing of 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, a 2024 study published in Breast Cancer Research highlights the application of deep learning models such as ResNet50, Transformer, and Hover-net in enhancing image enhancement, segmentation, and classification for breast cancer diagnosis. Such instances signify the growth potential of the market.

Rising adoption of healthcare IT solutions is fueling the demand for digital pathology solutions. Organizations are increasingly implementing them to cut costs, streamline processes, overcome resource bottlenecks, and facilitate efficient content sharing. A growing necessity for collaborations and the expanding use of digital documentation across various scientific disciplines also drives the demand. In addition, factors such as heightened adoption to enhance laboratory efficiency, a surge in teleconsultations, and increased applications in companion diagnostics and drug discovery are expected to contribute to the market's growth.

In addition, AI is being leveraged to improve the analysis of digital images. Previously, pathologists had to manually identify regions of interest within tissue samples, but AI is now automating this process. This shift reduces the reliance on manual labor, minimizing the risk of human error and promoting greater automation in pathology practices.

Global Digital Pathology Market Report Segmentation

This report forecasts revenue growth at the global, regional and country levels and provides an analysis of the latest trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global digital pathology market report based on product, type, application, therapeutic area, end use, and region:

  • Product Outlook (Revenue, USD Billion, 2021 - 2033)
  • Software
  • Device
    • Scanners
    • Slide Management Systems
  • Storage System
  • Type Outlook (Revenue, USD Billion, 2021 - 2033)
  • Human Pathology
  • Veterinary Pathology
  • Application Outlook (Revenue, USD Billion, 2021 - 2033)
  • Drug Discovery & Development
  • Academic Research
  • Disease Diagnosis
    • Cancer Cell Detection
    • Others
  • Therapeutic Area Outlook (Revenue, USD Billion, 2021 - 2033)
  • Oncology
  • Cardiovascular
  • Neurology
  • Others (Including dermatology, infectious diseases, gastrointestinal, etc.)
  • End Use Outlook (Revenue, USD Billion, 2021 - 2033)
  • Hospitals
  • Biotech & Pharma Companies
  • Diagnostic Labs
  • Academic & Research Institutes
  • Regional Outlook (Revenue, USD Billion, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Russia
    • Spain
    • Netherlands
    • Switzerland
    • Sweden
    • Denmark
    • Norway
  • Asia Pacific
    • Japan
    • China
    • India
    • Indonesia
    • Philipines
    • Australia
    • South Korea
    • Malaysia
    • Singapore
  • Latin America
    • Brazil
    • Argentina
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • Turkey
    • Iran
    • United Arab Emirates
    • Israel
    • Kuwait

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 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
      • 1.3.5.1. Data for primary interviews in North America
      • 1.3.5.2. Data for Primary Interviews in Europe
      • 1.3.5.3. Data for Primary Interviews in APAC
      • 1.3.5.4. Data for Primary Interviews in Latin America
      • 1.3.5.5. Data for Primary Interviews in MEA
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
    • 1.6.1. Commodity Flow Analysis
    • 1.6.2. Top down market estimation
    • 1.6.3. CAGR Calculation
    • 1.6.4. Key Report Updates
  • 1.7. List of Secondary Sources
  • 1.8. List of Abbreviations
  • 1.9. Report Objectives
    • 1.9.1. Objective - 1
    • 1.9.2. Objective - 2

Chapter 2. Executive Summary

  • 2.1. Market Snapshot
  • 2.2. Segmental Snapshot
  • 2.3. Competitive Insights Snapshot

Chapter 3. Market Variables, Trends, and Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent Market Analysis
    • 3.1.2. Ancillary Market Analysis
  • 3.2. Digital Pathology Market- Market Dynamics
    • 3.2.1. Market Driver Analysis
      • 3.2.1.1. Increasing integration of AI in digital patholgy
      • 3.2.1.2. Growing adoption of digital pathology solutions in veterinary care practices
      • 3.2.1.3. Increasing demand for integrated healthcare systems and patient-centric care
    • 3.2.2. Market Restraint Analysis
      • 3.2.2.1. High cost of implementing digital pathology solutions
      • 3.2.2.2. Lack of Skilled Professionals
    • 3.2.3. Industry Challenges
    • 3.2.4. Industry Oppurtinity
  • 3.3. Business Environment Analysis
    • 3.3.1. 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. PESTLE Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social landscape
      • 3.3.2.3. Technological landscape
      • 3.3.2.4. Environmental landscape
      • 3.3.2.5. Legal Landscape
  • 3.4. Technology Trend Analysis
  • 3.5. Regulatory Framework
  • 3.6. Cost Structure Analysis
  • 3.7. User Perspective Analysis
  • 3.8. Case Studies

Chapter 4. Digital Pathology Market: Product Estimates & Trend Analysis

  • 4.1. Digital Pathology Market, Product: Key Takeaways
  • 4.2. Digital Pathology Market: Product Movement & Market Share Analysis, 2024 & 2033
  • 4.3. Software
    • 4.3.1. Software Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
      • 4.3.1.1. Software market estimates and forecast, 2021 - 2033 (USD Million)
  • 4.4. Devices
    • 4.4.1. Devices Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
    • 4.4.2. Scanners
      • 4.4.2.1. scanners market estimates and forecast, 2021 - 2033 (USD Million)
    • 4.4.3. Slide Management System
      • 4.4.3.1. slide management system market estimates and forecast, 2021 - 2033 (USD Million)
  • 4.5. Storage Systems
    • 4.5.1. Storage Systems Market Estimates And Forecasts, 2021 - 2033 (USD Billion)

Chapter 5. Digital Pathology Market: Type Estimates & Trend Analysis

  • 5.1. Digital Pathology Market, by Type: Key Takeaways
  • 5.2. Digital Pathology Market: Type Movement & Market Share Analysis, 2024 & 2033
  • 5.3. Veterinary Pathology
    • 5.3.1. Veterinary Pathology Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
  • 5.4. Human Pathology
    • 5.4.1. Human Pathology Market Estimates And Forecasts, 2021 - 2033 (USD Billion)

Chapter 6. Digital Pathology Market: Application Estimates & Trend Analysis

  • 6.1. Digital Pathology Market, Application Type: Key Takeaways
  • 6.2. Digital Pathology Market: Application Movement & Market Share Analysis, 2024 & 2033
  • 6.3. Drug Discovery & Development
    • 6.3.1. Drug Discovery & Development Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
  • 6.4. Academic Research
    • 6.4.1. Academic Research Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
  • 6.5. Disease Diagnosis
    • 6.5.1. Disease Diagnosis Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
    • 6.5.2. Cancer Cell Detection
      • 6.5.2.1. Cancer Cell Detection Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
    • 6.5.3. Others
      • 6.5.3.1. Others Market Estimates And Forecasts, 2021 - 2033 (USD Billion)

Chapter 7. Digital Pathology Market: Therapeutic Area Estimates & Trend Analysis

  • 7.1. Digital Pathology Market, Therapeutic Area: Key Takeaways
  • 7.2. Digital Pathology Market: Therapeutic Area Movement & Market Share Analysis, 2024 & 2033
  • 7.3. Oncology
    • 7.3.1. Oncology Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
  • 7.4. Cardiovascular
    • 7.4.1. Cardiovascular Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
  • 7.5. Neurology
    • 7.5.1. Neurology Market Estimates And Forecasts, 2021 - 2033 (USD Billion)
  • 7.6. Others (Including dermatology, infectious diseases, gastrointestinal, etc.)
    • 7.6.1. Others Market Estimates And Forecasts, 2021 - 2033 (USD Billion)

Chapter 8. Digital Pathology Market: End Use Estimates & Trend Analysis

  • 8.1. Digital Pathology Market, By End Use: Key Takeaways
  • 8.2. Digital Pathology Market: End Use Movement & Market Share Analysis, 2024 & 2033
  • 8.3. Hospitals
    • 8.3.1. Hospitals Market Estimates And Forecasts, 2021 - 2033 (USD Million)
  • 8.4. Biotech & Pharma Companies
    • 8.4.1. Biotech & Pharma Companies Market Estimates And Forecasts, 2021 - 2033 (USD Million)
  • 8.5. Diagnostics Labs
    • 8.5.1. Diagnostics Labs Market Estimates And Forecasts, 2021 - 2033 (USD Million)
  • 8.6. Academic & Research Institutes
    • 8.6.1. Academic & Research Institutes Market Estimates And Forecasts, 2021 - 2033 (USD Million)

Chapter 9. Digital Pathology Market: Regional Estimates & Trend Analysis

  • 9.1 North America
    • 9.1.1 North America Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.1.2 U.S.
      • 9.1.2.1 Key Country Dynamics
      • 9.1.2.2 Competitive Scenario
      • 9.1.2.3 Regulatory Framework
      • 9.1.2.4 Reimbursement Scenario
      • 9.1.2.5 U.S. Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.1.3 Canada
      • 9.1.3.1 Key Country Dynamics
      • 9.1.3.2 Competitive Scenario
      • 9.1.3.3 Regulatory Framework
      • 9.1.3.4 Reimbursement Scenario
      • 9.1.3.5 Canada Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.1.4 Mexico
      • 9.1.4.1 Key Country Dynamics
      • 9.1.4.2 Competitive Scenario
      • 9.1.4.3 Regulatory Framework
      • 9.1.4.4 Reimbursement Scenario
      • 9.1.4.5 Mexico Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
  • 9.2 Europe
    • 9.2.1 Europe Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.2 UK
      • 9.2.2.1 Key Country Dynamics
      • 9.2.2.2 Competitive Scenario
      • 9.2.2.3 Regulatory Framework
      • 9.2.2.4 Reimbursement Scenario
      • 9.2.2.5 UK Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.3 Germany
      • 9.2.3.1 Key Country Dynamics
      • 9.2.3.2 Competitive Scenario
      • 9.2.3.3 Regulatory Framework
      • 9.2.3.4 Reimbursement Scenario
      • 9.2.3.5 Germany Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.4 France
      • 9.2.4.1 Key Country Dynamics
      • 9.2.4.2 Competitive Scenario
      • 9.2.4.3 Regulatory Framework
      • 9.2.4.4 Reimbursement Scenario
      • 9.2.4.5 France Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.5 Italy
      • 9.2.5.1 Key Country Dynamics
      • 9.2.5.2 Competitive Scenario
      • 9.2.5.3 Regulatory Framework
      • 9.2.5.4 Reimbursement Scenario
      • 9.2.5.5 Italy Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.6 Spain
      • 9.2.6.1 Key Country Dynamics
      • 9.2.6.2 Competitive Scenario
      • 9.2.6.3 Regulatory Framework
      • 9.2.6.4 Reimbursement Scenario
      • 9.2.6.5 Spain Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.7 Russia
      • 9.2.7.1 Key Country Dynamics
      • 9.2.7.2 Competitive Scenario
      • 9.2.7.3 Regulatory Framework
      • 9.2.7.4 Reimbursement Scenario
      • 9.2.7.5 Russia Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.8 Netherland
      • 9.2.8.1 Key Country Dynamics
      • 9.2.8.2 Competitive Scenario
      • 9.2.8.3 Regulatory Framework
      • 9.2.8.4 Reimbursement Scenario
      • 9.2.8.5 Netherland Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.9 Switzerland
      • 9.2.9.1 Key Country Dynamics
      • 9.2.9.2 Competitive Scenario
      • 9.2.9.3 Regulatory Framework
      • 9.2.9.4 Reimbursement Scenario
      • 9.2.9.5 Switzerland Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.10 Denmark
      • 9.2.10.1 Key Country Dynamics
      • 9.2.10.2 Competitive Scenario
      • 9.2.10.3 Regulatory Framework
      • 9.2.10.4 Reimbursement Scenario
      • 9.2.10.5 Denmark Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.11 Sweden
      • 9.2.11.1 Key Country Dynamics
      • 9.2.11.2 Competitive Scenario
      • 9.2.11.3 Regulatory Framework
      • 9.2.11.4 Reimbursement Scenario
      • 9.2.11.5 Sweden Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.2.12 Norway
      • 9.2.12.1 Key Country Dynamics
      • 9.2.12.2 Competitive Scenario
      • 9.2.12.3 Regulatory Framework
      • 9.2.12.4 Reimbursement Scenario
      • 9.2.12.5 Norway Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
  • 9.3 Asia Pacific
    • 9.3.1 Asia Pacific Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.2 Japan
      • 9.3.2.1 Key Country Dynamics
      • 9.3.2.2 Competitive Scenario
      • 9.3.2.3 Regulatory Framework
      • 9.3.2.4 Reimbursement Scenario
      • 9.3.2.5 Japan Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.3 India
      • 9.3.3.1 Key Country Dynamics
      • 9.3.3.2 Competitive Scenario
      • 9.3.3.3 Regulatory Framework
      • 9.3.3.4 Reimbursement Scenario
      • 9.3.3.5 India Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.4 China
      • 9.3.4.1 Key Country Dynamics
      • 9.3.4.2 Competitive Scenario
      • 9.3.4.3 Regulatory Framework
      • 9.3.4.4 Reimbursement Scenario
      • 9.3.4.5 China Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.5 Australia
      • 9.3.5.1 Key Country Dynamics
      • 9.3.5.2 8. 6. 3.5competitive Scenario
      • 9.3.5.3 Regulatory Framework
      • 9.3.5.4 Reimbursement Scenario
      • 9.3.5.5 Australia Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.6 Thailand
      • 9.3.6.1 Key Country Dynamics
      • 9.3.6.2 8. Competitive Scenario
      • 9.3.6.3 Regulatory Framework
      • 9.3.6.4 Reimbursement Scenario
      • 9.3.6.5 Thailand Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.7 South Korea
      • 9.3.7.1 Key Country Dynamics
      • 9.3.7.2 Competitive Scenario
      • 9.3.7.3 Regulatory Framework
      • 9.3.7.4 Reimbursement Scenario
      • 9.3.7.5 South Korea Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.8 Philiipines
      • 9.3.8.1 Key Country Dynamics
      • 9.3.8.2 Competitive Scenario
      • 9.3.8.3 Regulatory Framework
      • 9.3.8.4 Reimbursement Scenario
      • 9.3.8.5 Philipines Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.9 Malaysia
      • 9.3.9.1 Key Country Dynamics
      • 9.3.9.2 Competitive Scenario
      • 9.3.9.3 Regulatory Framework
      • 9.3.9.4 Reimbursement Scenario
      • 9.3.9.5 Malaysia Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.10 Singapore
      • 9.3.10.1 Key Country Dynamics
      • 9.3.10.2 Competitive Scenario
      • 9.3.10.3 Regulatory Framework
      • 9.3.10.4 Reimbursement Scenario
      • 9.3.10.5 Singapore Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.3.11 Indonesia
      • 9.3.11.1 Key Country Dynamics
      • 9.3.11.2 Competitive Scenario
      • 9.3.11.3 Regulatory Framework
      • 9.3.11.4 Reimbursement Scenario
      • 9.3.11.5 Singapore Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
  • 9.4 Latin America
    • 9.4.1 Latin America Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.4.2 Brazil
      • 9.4.2.1 Key Country Dynamics
      • 9.4.2.2 Competitive Scenario
      • 9.4.2.3 Regulatory Framework
      • 9.4.2.4 Reimbursement Scenario
      • 9.4.2.5 Brazil Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.4.3 Argentina
      • 9.4.3.1 Key Country Dynamics
      • 9.4.3.2 Competitive Scenario
      • 9.4.3.3 Regulatory Framework
      • 9.4.3.4 Reimbursement Scenario
      • 9.4.3.5 Argentina Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
  • 9.5 MEA
    • 9.5.1 MEA Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.2 South Africa
      • 9.5.2.1 Key Country Dynamics
      • 9.5.2.2 Competitive Scenario
      • 9.5.2.3 Regulatory Framework
      • 9.5.2.4 Reimbursement Scenario
      • 9.5.2.5 South Africa Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.3 Saudi Arabia
      • 9.5.3.1 Key Country Dynamics
      • 9.5.3.2 Competitive Scenario
      • 9.5.3.3 Regulatory Framework
      • 9.5.3.4 Reimbursement Scenario
      • 9.5.3.5 Saudi Arabia Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.4 UAE
      • 9.5.4.1 Key Country Dynamics
      • 9.5.4.2 Competitive Scenario
      • 9.5.4.3 Regulatory Framework
      • 9.5.4.4 Reimbursement Scenario
      • 9.5.4.5 UAE Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.5 Turkey
      • 9.5.5.1 Key Country Dynamics
      • 9.5.5.2 Competitive Scenario
      • 9.5.5.3 Regulatory Framework
      • 9.5.5.4 Reimbursement Scenario
      • 9.5.5.5 Turkey Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.6 Iran
      • 9.5.6.1 Key Country Dynamics
      • 9.5.6.2 Competitive Scenario
      • 9.5.6.3 Regulatory Framework
      • 9.5.6.4 Reimbursement Scenario
      • 9.5.6.5 Iran Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.7 Isarel
      • 9.5.7.1 Key Country Dynamics
      • 9.5.7.2 Competitive Scenario
      • 9.5.7.3 Regulatory Framework
      • 9.5.7.4 Reimbursement Scenario
      • 9.5.7.5 Israel Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)
    • 9.5.8 Kuwait
      • 9.5.8.1 Key Country Dynamics
      • 9.5.8.2 Competitive Scenario
      • 9.5.8.3 Regulatory Framework
      • 9.5.8.4 Reimbursement Scenario
      • 9.5.8.5 Kuwait Digital Pathology Market Estimates And Forecast, 2021 - 2033 (USD Million)

Chapter 10. Competitive Landscape

  • 10.1. Company Categorization
  • 10.2. Competitive Market Entry Strategies
  • 10.3. Private Companies/ Vendors, By Country/Region
  • 10.4. Company Market Share Analysis, 2024
  • 10.5. Strategy Mapping
  • 10.6. Company Profiles/Listing
    • 10.6.1. Leica Biosystems Nussloch GmbH (Danaher)
      • 10.6.1.1. Overview
      • 10.6.1.2. Financial Performance
      • 10.6.1.3. Product Benchmarking
      • 10.6.1.4. Strategic Initiatives
    • 10.6.2. Hamamatsu Photonics, Inc.
      • 10.6.2.1. Overview
      • 10.6.2.2. Financial Performance
      • 10.6.2.3. Product Benchmarking
      • 10.6.2.4. Strategic Initiatives
    • 10.6.3. Koninklijke Philips N.V.
      • 10.6.3.1. Overview
      • 10.6.3.2. Financial Performance
      • 10.6.3.3. Product Benchmarking
      • 10.6.3.4. Strategic Initiatives
    • 10.6.4. Olympus Corporation
      • 10.6.4.1. Overview
      • 10.6.4.2. Financial Performance
      • 10.6.4.3. Product Benchmarking
      • 10.6.4.4. Strategic Initiatives
    • 10.6.5. F. Hoffmann-La Roche Ltd.
      • 10.6.5.1. Overview
      • 10.6.5.2. Financial Performance
      • 10.6.5.3. Product Benchmarking
      • 10.6.5.4. Strategic Initiatives
    • 10.6.6. Mikroscan Technologies, Inc.
      • 10.6.6.1. Overview
      • 10.6.6.2. Financial Performance
      • 10.6.6.3. Product Benchmarking
      • 10.6.6.4. Strategic Initiatives
    • 10.6.7. Inspirata, Inc.
      • 10.6.7.1. Overview
      • 10.6.7.2. Financial Performance
      • 10.6.7.3. Product Benchmarking
      • 10.6.7.4. Strategic Initiatives
    • 10.6.8. Epredia (3DHISTECH Ltd.)
      • 10.6.8.1. Overview
      • 10.6.8.2. Financial Performance
      • 10.6.8.3. Product Benchmarking
      • 10.6.8.4. Strategic Initiatives
    • 10.6.9. Visiopharm A/S
      • 10.6.9.1. Overview
      • 10.6.9.2. Financial Performance
      • 10.6.9.3. Product Benchmarking
      • 10.6.9.4. Strategic Initiatives
    • 10.6.10. Huron Technologies International Inc.
      • 10.6.10.1. Overview
      • 10.6.10.2. Financial Performance
      • 10.6.10.3. Product Benchmarking
      • 10.6.10.4. Strategic Initiatives
    • 10.6.11. ContextVision AB
      • 10.6.11.1. Overview
      • 10.6.11.2. Financial Performance
      • 10.6.11.3. Product Benchmarking
      • 10.6.11.4. Strategic Initiatives
    • 10.6.12. CellaVision
      • 10.6.12.1. Overview
      • 10.6.12.2. Financial Performance
      • 10.6.12.3. Product Benchmarking
      • 10.6.12.4. Strategic Initiatives
    • 10.6.13. HANGZHOU ZHIWEI INFORMATION TECHNOLOGY CO. LTD. (MORPHOGO)
      • 10.6.13.1. Overview
      • 10.6.13.2. Financial Performance
      • 10.6.13.3. Product Benchmarking
      • 10.6.13.4. Strategic Initiatives
    • 10.6.14. West Medica Produktions- und Handels- GmbH (West Medica)
      • 10.6.14.1. Overview
      • 10.6.14.2. Financial Performance
      • 10.6.14.3. Product Benchmarking
      • 10.6.14.4. Strategic Initiatives
    • 10.6.15. aetherAI
      • 10.6.15.1. Overview
      • 10.6.15.2. Financial Performance
      • 10.6.15.3. Product Benchmarking
      • 10.6.15.4. Strategic Initiatives
    • 10.6.16. IBEX (IBEX Medical Analytics)
      • 10.6.16.1. Overview
      • 10.6.16.2. Financial Performance
      • 10.6.16.3. Product Benchmarking
      • 10.6.16.4. Strategic Initiatives
    • 10.6.17. SigTuple Technologies Private Limited
      • 10.6.17.1. Overview
      • 10.6.17.2. Financial Performance
      • 10.6.17.3. Product Benchmarking
      • 10.6.17.4. Strategic Initiatives
    • 10.6.18. Morphle Labs, Inc.
      • 10.6.18.1. Overview
      • 10.6.18.2. Financial Performance
      • 10.6.18.3. Product Benchmarking
      • 10.6.18.4. Strategic Initiatives
    • 10.6.19. Bionovation Biotech, Inc.
      • 10.6.19.1. Overview
      • 10.6.19.2. Financial Performance
      • 10.6.19.3. Product Benchmarking
      • 10.6.19.4. Strategic Initiatives
    • 10.6.20. Scopio Labs
      • 10.6.20.1. Overview
      • 10.6.20.2. Financial Performance
      • 10.6.20.3. Product Benchmarking
      • 10.6.20.4. Strategic Initiatives
    • 10.6.21. Path Hub
      • 10.6.21.1. Overview
      • 10.6.21.2. Financial Performance
      • 10.6.21.3. Product Benchmarking
      • 10.6.21.4. Strategic Initiatives
    • 10.6.22. Sectra AB
      • 10.6.22.1. Overview
      • 10.6.22.2. Financial Performance
      • 10.6.22.3. Product Benchmarking
      • 10.6.22.4. Strategic Initiatives
    • 10.6.23. Agfa-Gevaert Group
      • 10.6.23.1. Overview
      • 10.6.23.2. Financial Performance
      • 10.6.23.3. Product Benchmarking
      • 10.6.23.4. Strategic Initiatives
    • 10.6.24. Aiosyn
      • 10.6.24.1. Overview
      • 10.6.24.2. Financial Performance
      • 10.6.24.3. Product Benchmarking
      • 10.6.24.4. Strategic Initiatives
    • 10.6.25. Proscia Inc
      • 10.6.25.1. Overview
      • 10.6.25.2. Financial Performance
      • 10.6.25.4. Strategic Initiatives
    • 10.6.26. EVIDENT
      • 10.6.26.1. Overview
      • 10.6.26.2. Financial Performance
      • 10.6.26.3. Product Benchmarking
      • 10.6.26.4. Strategic Initiatives
    • 10.6.27. Aignostics, Inc.
      • 10.6.27.1. Overview
      • 10.6.27.2. Financial Performance
      • 10.6.27.3. Product Benchmarking
      • 10.6.27.4. Strategic Initiatives
    • 10.6.33. Aiforia
      • 10.6.33.1. Overview
      • 10.6.33.2. Financial Performance
      • 10.6.33.3. Product Benchmarking
      • 10.6.33.4. Strategic Initiatives
    • 10.6.34. Dedalus S.p.A
      • 10.6.34.1. Overview
      • 10.6.34.2. Financial Performance
      • 10.6.34.3. Product Benchmarking
      • 10.6.34.4. Strategic Initiatives
    • 10.6.35. Qritive
      • 10.6.35.1. Overview
      • 10.6.35.2. Financial Performance
      • 10.6.35.3. Product Benchmarking
      • 10.6.35.4. Strategic Initiatives
    • 10.6.36. Mindpeak GmbH
      • 10.6.36.1. Overview
      • 10.6.36.2. Financial Performance
      • 10.6.36.3. Product Benchmarking
      • 10.6.36.4. Strategic Initiatives
    • 10.6.37. CGI Inc.
      • 10.6.37.1. Overview
      • 10.6.37.2. Financial Performance
      • 10.6.37.3. Product Benchmarking
      • 10.6.37.4. Strategic Initiatives
    • 10.6.38. Gestalt
      • 10.6.38.1. Overview
      • 10.6.38.2. Financial Performance
      • 10.6.38.3. Product Benchmarking
      • 10.6.38.4. Strategic Initiatives
    • 10.6.39. OptraScan
      • 10.6.39.1. Overview
      • 10.6.39.2. Financial Performance
      • 10.6.39.3. Product Benchmarking
      • 10.6.39.4. Strategic Initiatives
    • 10.6.40. Agilent Technologies, Inc.
      • 10.6.40.1. Overview
      • 10.6.40.2. Financial Performance
      • 10.6.40.3. Product Benchmarking
      • 10.6.40.4. Strategic Initiatives
    • 10.6.41. KFBIO
      • 10.6.41.1. Overview
      • 10.6.41.2. Financial Performance
      • 10.6.41.3. Product Benchmarking
      • 10.6.41.4. Strategic Initiatives
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