시장보고서
상품코드
1842207

세계의 계산 병리학 시장 규모, 점유율, 동향 분석 : 구성요소별, 용도별, 기술별, 최종 용도별, 지역별, 부문별 예측(2025-2033년)

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

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 100 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.

계산 병리학 시장 요약

세계의 계산 병리학 시장 규모는 2024년에 6억 8,248만 달러로 평가되었으며, 2033년에는 14억 4,762만 달러에 달할 것으로 예측되며, 2025년부터 2033년까지 CAGR은 9.0%로 성장할 전망입니다.

성장의 배경에는 머신러닝과 인공지능(AI) 기술의 통합 증가, 신속한 진단을 위한 고급 솔루션에 대한 수요 증가, 만성질환의 유병률 증가, 고급 솔루션 개발에 집중하는 시장 진입자들의 의료 투자 증가 등이 있습니다.

계산 병리학 시장은 주로 만성질환, 특히 암의 발병률 증가에 의해 주도되고 있습니다. 암의 발병률이 높기 때문에 병리과 의사는 환자 맞춤형 치료를 위해 병리 데이터를 활용해야 합니다. 따라서 디지털 병리학은 진단 속도를 높이고, 진단 정확도를 높이며, 환자의 결과를 개선하기 위한 치료 제안을 제공하기 때문에 병리학자들이 점점 더 선호하고 있습니다. 예를 들어, 2023년 8월 Journal of Pathology 저널에 게재된 연구에 따르면, 딥러닝과 인공지능(AI) 알고리즘을 통한 병리 조직 이미지 분석 및 해석은 특히 암 진단 및 예후 진단에서 진단 정확도와 효율성을 크게 향상시킬 수 있다고 합니다.

병리학 워크플로우에 머신러닝과 AI 기술을 접목하면 진단 프로세스를 크게 변화시킬 수 있습니다. 예를 들어,2024년 10월, 프로시아는 AI 모델 개발을 촉진하기 위해 설계된 디지털 병리학 툴킷을 발표했습니다. 이러한 도구를 통해 생명과학 연구자들은 생검 슬라이드 이미지를 정량적 데이터로 변환하여 기초 모델 훈련, 바이오마커 발견, 진단 개선에 활용할 수 있습니다. 이러한 솔루션의 개발로 빠르고 정확한 이미지 분석이 가능해져 병리학자들이 질병의 진행을 나타내는 패턴을 식별할 수 있게 됩니다. AI는 일상적인 작업을 자동화함으로써 병리과 의사가 보다 복잡한 진단 과제에 집중할 수 있도록 하여 효율성과 정확성을 향상시킬 수 있습니다. 이러한 변화는 진단의 정확도를 높이고 예측 모델링을 통한 맞춤형 의료의 발전을 지원합니다.

목차

제1장 분석 방법·범위

제2장 주요 요약

제3장 계산 병리학 시장 : 변수, 동향, 범위

  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 시장 기회 분석
    • 시장 과제 분석
  • 계산 병리학 시장 : 분석 툴
    • 업계 분석 : Porter's Five Forces 분석
    • PESTEL 분석
    • 기술 동향 분석
    • 사례 연구 분석

제4장 계산 병리학 시장 : 구성요소별 추정·동향 분석

  • 시장 점유율 : 구성요소별(2024년·2033년)
  • 부문 대시보드
  • 세계의 계산 병리학 시장 : 향후 전망, 구성요소별
  • 소프트웨어
  • 서비스

제5장 계산 병리학 시장 : 용도별 추정·동향 분석

  • 시장 점유율 : 용도별(2024년·2033년)
  • 부문 대시보드
  • 세계의 계산 병리학 시장 : 향후 전망, 용도별
  • 질환 진단
  • Drug Discovery & Development
  • 학술 연구

제6장 계산 병리학 시장 : 기술별 추정·동향 분석

  • 시장 점유율 : 기술별(2024년·2033년)
  • 부문 대시보드
  • 세계의 계산 병리학 시장 : 향후 전망, 기술별
  • 머신러닝(ML)
    • 딥러닝
    • 지도
    • 비지도
    • 기타
  • 자연어 처리(NLP) 모델
  • 컴퓨터 비전
  • 기타

제7장 계산 병리학 시장 : 최종 용도별 추정·동향 분석

  • 시장 점유율 : 최종 용도별(2024년·2033년)
  • 부문 대시보드
  • 세계의 계산 병리학 시장 : 향후 전망, 최종 용도별
  • 병원, 진단 검사실
  • 바이오테크놀러지·제약 기업
  • 학술연구기관
  • 기타

제8장 계산 병리학 시장 : 지역별 추정·동향 분석(구성요소별, 용도별, 기술별, 최종 용도별)

  • 시장 점유율 분석 : 지역별(2024년·2033년)
  • 시장 대시보드 : 지역별
  • 세계 시장 현황 : 지역별
  • 시장 규모 예측과 동향 분석(2021-2033년)
  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 스페인
    • 노르웨이
    • 스웨덴
    • 덴마크
  • 아시아태평양
    • 일본
    • 중국
    • 인도
    • 호주
    • 한국
    • 태국
  • 라틴아메리카
    • 브라질
    • 아르헨티나
  • 중동 및 아프리카
    • 남아프리카공화국
    • 사우디아라비아
    • 아랍에미리트
    • 쿠웨이트

제9장 경쟁 구도

  • 주요 시장 진입 기업의 최근 동향과 영향 분석
  • 기업/경쟁 분류
  • 주요 기업의 시장 점유율/포지션 분석(2024년)
  • 기업 개요
    • 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.
KSM 25.11.13

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
샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제