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병리학용 AI 시장 규모, 점유율 및 동향 분석 보고서 : 구성 요소별, 기술별, 용도별, 최종 용도별, 지역별 및 부문별 예측(2026-2033년)

AI In Pathology Market Size, Share & Trends Analysis Report By Component (Software, Hardware), By Technology (Machine Learning, Computer Vision-based Image Analysis), By Application, By End Use, By Region, And Segment Forecasts, 2026 - 2033

발행일: | 리서치사: 구분자 Grand View Research | 페이지 정보: 영문 100 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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병리학용 AI 시장 개요

세계의 병리학용 AI 시장 규모는 2025년에 1억 6,825만 달러로 추계되며, 2033년까지 11억 5,155만 달러에 달할 것으로 예측됩니다.

2026-2033년 연평균 성장률(CAGR) 27.42%로 성장할 것으로 전망됩니다. 정밀 의료에 대한 수요 증가, 만성질환 유병률의 증가, 기술 발전 등이 시장 성장에 기여하는 주요 요인으로 작용하고 있습니다.

또한 병리 인프라의 디지털화 진전, 규제 측면에서의 긍정적인 움직임, 그리고 업계 간 제휴가 시장 환경을 강화하고 있습니다. 정밀 의료에 대한 수요 증가는 병리학 업계에서 인공지능(AI)의 주요 촉진요인 중 하나입니다. AI는 조직병리학적 영상 분석과 유전체 데이터를 통합함으로써, 보다 정확한 질환 아형 분류와 예후 예측을 가능하게 하고, 환자 개개인에 맞춘 치료를 촉진합니다. 예를 들어 2025년 7월, LG AI Research는 암 진단 및 신약 개발 향상을 목적으로 병리학용 AI 모델의 업그레이드 버전인 ‘EXAONE Path 2.0’을 발표했습니다. 이 시스템은 특징의 손실을 방지하고 문맥 정보를 유지하기 위해, 슬라이드 이미지 전체와 더 작은 영역에 대한 분석을 결합하고 있습니다. DNA, RNA, 모든 슬라이드 병리 이미지를 포함한 멀티오믹스 데이터를 활용하여 학습된 이 모델은 유전적 변이, 유전자 발현 및 미세한 조직 변화를 78.4%의 예측 정확도로 분석합니다.

또한 AI 연구 및 의료 분야의 디지털 전환(DX) 프로그램에 대한 자금 지원 확대와 더불어, 원격 병리학 도입이 진행되고 있는 점도 AI 툴의 대규모 도입을 지원하고 있습니다. 예를 들어 2025년 3월, Proscia사는 AI를 활용한 병리학 솔루션인 ‘Concentriq’ 플랫폼의 도입을 가속화하기 위해 5,000만 달러의 자금 조달에 성공했습니다. 이를 통해 AI 기능을 더욱 통합하고, Agilent Technologies 및 Siemens Healthineers 등 OEM(Original Equipment Manufacturer)들과의 파트너십을 활용하여 나갈 방침입니다.

또한 검사실내 업무 흐름의 최적화와 업무 효율 향상 역시 AI 병리 솔루션 도입을 크게 지원하고 있습니다. 조직 분할, 세포 계수, 측정과 같은 일상 업무를 AI로 자동화함으로써 수작업과 인적 오류가 줄어들고, 병리 전문의는 더 복잡한 증례에 시간을 할애할 수 있게 됩니다. 예를 들어 2025년 1월, Owkin사는 디지털 병리학 및 AI 솔루션에 관한 새로운 연구 결과를 발표하며, 업무 부담과 진단 과정의 복잡화로 인한 병리 전문의의 번아웃 증가와 같은 과제를 부각시켰습니다. 이 회사의 AI 진단 기술은 모든 슬라이드 이미지의 신속한 판독, 바이오마커 선별 검사, 그리고 환자의 예후 예측을 지원하여 정밀 종양학의 실현을 가능하게 합니다.

또한 업계내 파트너십이 시장 환경을 강화하고 있습니다. 각 제약사는 AI 개발 기업과 제휴하여 디지털 병리학을 임상 시험 및 의약품 개발에 접목하고 있습니다. 예를 들어 2025년 4월, Precision for Medicine사와 PathAI사는 혁신적인 AI 기술을 개발하고, PathAI사의 첨단 디지털 병리 기능을 Precision for Medicine사의 임상시험 및 생체 시료 관리에 통합하기 위한 전략적 제휴를 발표했습니다. Precision for Medicine사는 PathAI사의 영상 관리 시스템 ‘AISight’ 및 AI 알고리즘을 활용하여, 품질관리 절차를 통합한 생체 시료 분석 워크플로우를 강화함으로써 데이터의 일관성과 신뢰성을 높일 것으로 기대됩니다.

자주 묻는 질문

  • 병리학용 AI 시장 규모는 어떻게 예측되나요?
  • 병리학용 AI 시장의 성장 요인은 무엇인가요?
  • AI 기술이 병리학 분야에서 어떻게 활용되고 있나요?
  • 병리학용 AI 솔루션의 도입이 어떻게 진행되고 있나요?
  • 병리학용 AI 시장에서의 파트너십은 어떤 역할을 하고 있나요?

목차

제1장 조사 방법과 범위

제2장 개요

제3장 병리학용 AI 시장 : 변수, 동향, 범위

제4장 병리학용 AI 시장 : 컴포넌트별 추정·동향 분석

제5장 병리학용 AI 시장 : 기술별 추정·동향 분석

제6장 병리학용 AI 시장 : 용도별 추정·동향 분석

제7장 병리학용 AI 시장 : 최종 사용별 추정·동향 분석

제8장 병리학용 AI 시장 : 지역별 추정·동향 분석

제9장 경쟁 구도

KSA 26.06.29

AI In Pathology Market Summary

The global AI in pathology market size was estimated at USD 168.25 million in 2025 and is projected to reach USD 1151.55 million by 2033, growing at a CAGR of 27.42% from 2026 to 2033. Growing demand for precision medicine, rising prevalence of chronic diseases, technological advancements are significant factors contributing to market growth.

Moreover, the growing digitization of pathological infrastructure, supportive regulatory progress, and industry partnerships are strengthening the market environment. The growing demand for precision medicine is one of the significant drivers of artificial intelligence in pathology industry. AI facilitates tailored treatments by integrating histopathological image analysis with genomic data to provide more precise disease subtyping and prognosis. For instance, in July 2025, LG AI Research unveiled its upgraded pathology AI model, EXAONE Path 2.0, to enhance cancer diagnosis and drug development. The system combines analysis of both entire slide images and smaller patches to avoid feature collapse and preserve contextual information. Trained on multi-omics data, including DNA, RNA, and whole slide pathology images, the model analyzes genetic mutations, gene expression, and subtle tissue changes with 78.4% prediction accuracy.

In addition, growing funding for AI research and healthcare digital transformation programs, alongside rising adoption of telepathology, support the deployment of AI tools on a large scale. For instance, in March 2025, Proscia secured USD 50 million in funding to accelerate the adoption of its AI-powered Concentriq platform, an AI-driven pathology solution, to integrate more AI capabilities and leverage partnerships with OEMs like Agilent Technologies and Siemens Healthineers.

Workflow optimization and operational efficiency in laboratories also significantly fuel the adoption of AI pathology solutions. AI-driven automation of routine tasks such as tissue segmentation, cell counting, and measurement reduces manual labor and human error, allowing pathologists to devote more time to complex cases. For instance, in January 2025, Owkin unveiled new insights into digital pathology and AI solutions, highlighting challenges such as rising pathologist burnout due to workload and diagnostic complexity. Their AI diagnostics support quick interpretation of whole slide images, biomarker screening, and patient outcome predictions to enable precision oncology.

Furthermore, industry partnerships are strengthening the market environment. Pharmaceutical companies are collaborating with AI developers to incorporate digital pathology into clinical trials and drug development. For instance, in April 2025, Precision for Medicine and PathAI announced a strategic collaboration to develop novel AI technologies and integrate PathAI's advanced digital pathology capabilities into Precision for Medicine's clinical trial and biospecimen operations. Precision for Medicine is expected to leverage PathAI's AISight image management system and AI algorithms to enhance biospecimen analysis workflows with quality control steps, improving data consistency and reliability.

Global AI In Pathology Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented global AI inpathology market report based on component, technology, application, end use, and region.

  • Component Outlook (Revenue, USD Million, 2021 - 2033)
  • Software
    • Image Analysis & Pattern Recognition
    • Predictive Analytics Tools
    • Workflow Automation Software
    • Diagnostic Decision Support
  • Hardware
    • Whole Slide Imaging (WSI) Scanners
    • Digital Pathology Systems
    • AI-Enabled Microscopes
  • Service
    • Implementation & Integration
    • Consulting & Training
    • Managed AI Services
    • Maintenance & Support
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Machine Learning (ML)
    • Deep Learning
    • Convolutional Neural Networks (CNNS)
    • Generative Adversarial Networks (GANS)
    • Recurrent Neural Networks (RNNS)
    • Other Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision-based Image Analysis
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • Disease Diagnosis & Classification
  • Prognostic & Predictive Biomarker Discovery
  • Digital Slide Image Analysis
  • Clinical Workflow Optimization
  • Drug Discovery & Research Pathology
  • Tissue & Cell Analysis
  • Others
  • End Use Outlook (Revenue, USD Million, 2021 - 2033)
  • Hospitals & Diagnostic Laboratories
  • Life Sciences Companies
  • Research Institutes & Academic Centers
  • Others
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Denmark
    • Sweden
    • Norway
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Thailand
  • Latin America
    • Brazil
    • Argentina
  • MEA
    • South Africa
    • Saudi Arabia
    • UAE
    • Kuwait

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
    • 1.2.1. Component Segment
    • 1.2.2. Technology Segment
    • 1.2.3. Application Segment
    • 1.2.4. End Use
  • 1.3. Information analysis
    • 1.3.1. Market formulation & data visualization
  • 1.4. Data validation & publishing
  • 1.5. Information Procurement
    • 1.5.1. Primary Research
  • 1.6. Information or Data Analysis
  • 1.7. Market Formulation & Validation
  • 1.8. Market Model
  • 1.9. Total Market: CAGR Calculation
  • 1.10. Objectives
    • 1.10.1. Objective 1
    • 1.10.2. Objective 2

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Snapshot
  • 2.3. Competitive Insights Landscape

Chapter 3. AI in Pathology Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent market outlook
    • 3.1.2. Related/ancillary market outlook.
  • 3.2. Market Dynamics
    • 3.2.1. Market driver analysis
      • 3.2.1.1. Rising demand for accurate and early disease detection
      • 3.2.1.2. Technological advancements in machine learning, natural language processing, and computer vision
      • 3.2.1.3. Increasing government initiatives and regulatory support
    • 3.2.2. Market restraint analysis
      • 3.2.2.1. Data security and privacy concerns
      • 3.2.2.2. High costs of advanced devices
    • 3.2.3. Market opportunity analysis
    • 3.2.4. Market challenges analysis
  • 3.3. AI in Pathology Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 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. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Technological landscape
      • 3.3.2.3. Economic landscape
      • 3.3.2.4. Environmental Landscape
      • 3.3.2.5. Legal Landscape
      • 3.3.2.6. Social Landscape
  • 3.4. Case Study Insights
    • 3.4.1. Building tools for machine learning and artificial intelligence in computational pathology
  • 3.5. Investment & funding scenario
  • 3.6. Technology Analysis: Key Use Cases and Application
    • 3.6.1. Machine Learning (ML)/Deep Learning
    • 3.6.2. Natural Language Processing (NLP)
    • 3.6.3. Computer Vision-based Image Analysis

Chapter 4. AI in Pathology Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Global AI in Pathology Market Component Movement Analysis
  • 4.3. Global AI in Pathology Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
  • 4.4. Software
    • 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.4.2. Image Analysis & Pattern Recognition
      • 4.4.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.4.3. Predictive Analytics Tools
      • 4.4.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.4.4. Workflow Automation Software
      • 4.4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.4.5. Diagnostic Decision Support
      • 4.4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 4.5. Hardware
    • 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.5.2. Whole Slide Imaging (WSI) Scanners
      • 4.5.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.5.3. Digital Pathology Systems
      • 4.5.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.5.4. AI-Enabled Microscopes
      • 4.5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 4.6. Services
    • 4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.6.2. Implementation & Integration
      • 4.6.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.6.3. Consulting & Training
      • 4.6.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.6.4. Managed AI Services
      • 4.6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 4.6.5. Maintenance & Support
      • 4.6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 5. AI in Pathology Market: Technology Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Global AI in Pathology Market Technology Movement Analysis
  • 5.3. Global AI in Pathology Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
  • 5.4. Machine Learning Algorithms
    • 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
    • 5.4.2. Deep learning
      • 5.4.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
      • 5.4.2.2. Convolutional Neural Networks (CNNS)
        • 5.4.2.2.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
      • 5.4.2.3. Generative Adversarial Networks (GANS)
        • 5.4.2.3.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
      • 5.4.2.4. Recurrent Neural Networks (RNNS)
        • 5.4.2.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
      • 5.4.2.5. Other Neural Networks
        • 5.4.2.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.5. Natural Language Processing (NLP)
    • 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 5.6. Computer Vision-based Image Analysis
    • 5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 6. AI in Pathology Market: Application Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Global AI in Pathology Market Application Movement Analysis
  • 6.3. Global AI in Pathology Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
  • 6.4. Disease Diagnosis & Classification
    • 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.5. Prognostic & Predictive Biomarker Discovery
    • 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.6. Digital Slide Image Analysis
    • 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.7. Clinical Workflow Optimization
    • 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.8. Drug Discovery & Research Pathology
    • 6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.9. Tissue & Cell Analysis
    • 6.9.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 6.10. Others
    • 6.10.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

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

  • 7.1. Segment Dashboard
  • 7.2. Global AI in Pathology Market End Use Movement Analysis
  • 7.3. Global AI in Pathology Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
  • 7.4. Hospitals & Diagnostic Laboratories
    • 7.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.5. Life Sciences Companies
    • 7.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.6. Research Institutes & Academic Centers
    • 7.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
  • 7.7. Others
    • 7.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 8. AI in Pathology Market: Regional Estimates & Trend Analysis

  • 8.1. Regional Market Share Analysis, 2025 & 2033
  • 8.2. Regional Market Dashboard
  • 8.3. Market Size & Forecasts Trend Analysis, 2021 to 2033:
  • 8.4. North America
    • 8.4.1. U.S.
      • 8.4.1.1. Key country dynamics
      • 8.4.1.2. Regulatory framework
      • 8.4.1.3. Competitive scenario
      • 8.4.1.4. U.S. market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.4.2. Canada
      • 8.4.2.1. Key country dynamics
      • 8.4.2.2. Regulatory framework
      • 8.4.2.3. Competitive scenario
      • 8.4.2.4. Canada market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.4.3. Mexico
      • 8.4.3.1. Key country dynamics
      • 8.4.3.2. Regulatory framework
      • 8.4.3.3. Competitive scenario
      • 8.4.3.4. Mexico market estimates and forecasts, 2021 to 2033 (USD Million)
  • 8.5. Europe
    • 8.5.1. UK
      • 8.5.1.1. Key country dynamics
      • 8.5.1.2. Regulatory framework
      • 8.5.1.3. Competitive scenario
      • 8.5.1.4. UK market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.2. Germany
      • 8.5.2.1. Key country dynamics
      • 8.5.2.2. Regulatory framework
      • 8.5.2.3. Competitive scenario
      • 8.5.2.4. Germany market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.3. France
      • 8.5.3.1. Key country dynamics
      • 8.5.3.2. Regulatory framework
      • 8.5.3.3. Competitive scenario
      • 8.5.3.4. France market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.4. Italy
      • 8.5.4.1. Key country dynamics
      • 8.5.4.2. Regulatory framework
      • 8.5.4.3. Competitive scenario
      • 8.5.4.4. Italy market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.5. Spain
      • 8.5.5.1. Key country dynamics
      • 8.5.5.2. Regulatory framework
      • 8.5.5.3. Competitive scenario
      • 8.5.5.4. Spain market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.6. Norway
      • 8.5.6.1. Key country dynamics
      • 8.5.6.2. Regulatory framework
      • 8.5.6.3. Competitive scenario
      • 8.5.6.4. Norway market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.7. Sweden
      • 8.5.7.1. Key country dynamics
      • 8.5.7.2. Regulatory framework
      • 8.5.7.3. Competitive scenario
      • 8.5.7.4. Sweden market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.5.8. Denmark
      • 8.5.8.1. Key country dynamics
      • 8.5.8.2. Regulatory framework
      • 8.5.8.3. Competitive scenario
      • 8.5.8.4. Denmark market estimates and forecasts, 2021 to 2033 (USD Million)
  • 8.6. Asia Pacific
    • 8.6.1. Japan
      • 8.6.1.1. Key country dynamics
      • 8.6.1.2. Regulatory framework
      • 8.6.1.3. Competitive scenario
      • 8.6.1.4. Japan market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.6.2. China
      • 8.6.2.1. Key country dynamics
      • 8.6.2.2. Regulatory framework
      • 8.6.2.3. Competitive scenario
      • 8.6.2.4. China market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.6.3. India
      • 8.6.3.1. Key country dynamics
      • 8.6.3.2. Regulatory framework
      • 8.6.3.3. Competitive scenario
      • 8.6.3.4. India market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.6.4. Australia
      • 8.6.4.1. Key country dynamics
      • 8.6.4.2. Regulatory framework
      • 8.6.4.3. Competitive scenario
      • 8.6.4.4. Australia market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.6.5. South Korea
      • 8.6.5.1. Key country dynamics
      • 8.6.5.2. Regulatory framework
      • 8.6.5.3. Competitive scenario
      • 8.6.5.4. South Korea market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.6.6. Thailand
      • 8.6.6.1. Key country dynamics
      • 8.6.6.2. Regulatory framework
      • 8.6.6.3. Competitive scenario
      • 8.6.6.4. Thailand market estimates and forecasts, 2021 to 2033 (USD Million)
  • 8.7. Latin America
    • 8.7.1. Brazil
      • 8.7.1.1. Key country dynamics
      • 8.7.1.2. Regulatory framework
      • 8.7.1.3. Competitive scenario
      • 8.7.1.4. Brazil market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.7.2. Argentina
      • 8.7.2.1. Key country dynamics
      • 8.7.2.2. Regulatory framework
      • 8.7.2.3. Competitive scenario
      • 8.7.2.4. Argentina market estimates and forecasts, 2021 to 2033 (USD Million)
  • 8.8. MEA
    • 8.8.1. South Africa
      • 8.8.1.1. Key country dynamics
      • 8.8.1.2. Regulatory framework
      • 8.8.1.3. Competitive scenario
      • 8.8.1.4. South Africa market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.8.2. Saudi Arabia
      • 8.8.2.1. Key country dynamics
      • 8.8.2.2. Regulatory framework
      • 8.8.2.3. Competitive scenario
      • 8.8.2.4. Saudi Arabia market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.8.3. UAE
      • 8.8.3.1. Key country dynamics
      • 8.8.3.2. Regulatory framework
      • 8.8.3.3. Competitive scenario
      • 8.8.3.4. UAE market estimates and forecasts, 2021 to 2033 (USD Million)
    • 8.8.4. Kuwait
      • 8.8.4.1. Key country dynamics
      • 8.8.4.2. Regulatory framework
      • 8.8.4.3. Competitive scenario
      • 8.8.4.4. Kuwait market estimates and forecasts, 2021 to 2033 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company/Competition Categorization
  • 9.2. Strategy Mapping
  • 9.3. Company Market Position Analysis, 2025
  • 9.4. Company Profiles/Listing
    • 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. Koninklijke Philips N.V.
      • 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. F. Hoffmann-La Roche Ltd.
      • 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. PathAI
      • 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. Proscia Inc.
      • 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. Ibex Medical Analytics
      • 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. Mindpeak GmbH
      • 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. Owkin, 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. Tempus AI
      • 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. Indica Labs, LLC.
      • 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. Qritive
      • 9.4.12.1. Company overview
      • 9.4.12.2. Financial performance
      • 9.4.12.3. Product benchmarking
      • 9.4.12.4. Strategic initiatives
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