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세계의 AI 지원 의료기기 시장 : 시장 규모, 점유율 및 동향 분석(컴포넌트별, 기술별, 치료 분야별, 최종 용도별, 지역별), 부문별 예측(2025-2033년)

AI-enabled Medical Devices Market Size, Share & Trends Analysis Report By Component (Software, Hardware), By Technology (Machine Learning, NLP), By Therapeutic Area, 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.

AI 지원 의료기기 : 시장 개요

세계의 AI 지원 의료기기 시장 규모는 2024년에 136억 7,000만 달러로 평가되었고, 2033년에는 2,557억 6,000만 달러에 이를 것으로 예측되며, 2025-2033년 연평균 복합 성장률(CAGR)은 38.5%를 나타낼 전망입니다.

개인 맞춤형 의료 및 정밀의료의 채택 확대, 의료 영상 및 진단의 발전, 규제 및 상환 상황의 지원이 시장 성장에 기여하고 있습니다.

또한, 의료 디지털화의 발전, 투자 및 업계 협업 증가는 시장 성장을 더욱 촉진하는 다른 요인 중 일부입니다. 개인 맞춤형 의료는 개인의 유전학, 환경, 라이프스타일에 기반한 맞춤형 의료를 가능하게 함으로써 AI 지원 의료기기의 채택을 촉진합니다. AI 시스템은 유전체 데이터, 이미지 스캔, 임상 기록을 분석하여 정밀 치료를 위한 실용적인 통찰력을 제공합니다. 이러한 기술은 질병의 조기 발견, 위험 계층화, 개인 맞춤형 의료 프로토콜에 따른 치료 모니터링을 용이하게 합니다.

또한, 고도의 예측 분석을 통해 임상의가 환자의 건강을 관리하고 임상 결과를 긍정적으로 개선할 수 있도록 돕습니다. 예를 들어, 2025년 1월 루닛은 면역종양학용으로 설계된 AI 지원 조직 분석 소프트웨어인 Lunit SCOPE IO의 FDA 510(k) 승인을 획득했습니다. 이 솔루션은 암 조직에서 종양침윤림프구(TIL)의 식별을 돕고, 정밀한 면역치료 결정에 도움을 줍니다.

또한 딥러닝, 자연어 처리, 컴퓨터 비전 등 AI 알고리즘의 발전은 AI 의료기기의 능력을 향상시키고 있습니다. 알고리즘 정확도 향상은 진단 정확도를 높이고 오류율을 감소시킵니다. 이러한 기술적 향상으로 AI를 통한 영상 진단, 위험 예측 모델링, 자동 환자 모니터링 등 다양한 응용 분야로의 확장을 촉진할 수 있습니다. 예를 들어, 2025년 6월, 클레어리티는 유방암 예측을 위한 최초의 FDA 승인 AI 플랫폼인 클레어리티 브레스트(CLAIRITY BREAST)의 De Novo 승인을 받았습니다. 이 혁신적인 플랫폼은 정기검진 유방촬영술만으로 여성의 5년간 유방암 발병 위험을 예측할 수 있습니다.

목차

제1장 분석 방법, 범위

제2장 주요 요약

제3장 AI 지원 의료기기 시장 : 변동 요인, 동향 및 범위

  • 시장 연관 전망
    • 상위 시장 전망
    • 관련/부수 시장 전망
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 시장 기회 분석
    • 시장이 해결해야 할 과제 분석
  • AI 지원 의료기기 시장 : 분석 툴
    • 업계 분석 : Porter의 Five Forces 분석
    • PESTEL 분석

제4장 AI 지원 의료기기 시장 : 컴포넌트별 추정, 동향 분석

  • 부문 대시보드
  • 세계의 AI 지원 의료기기 시장 : 변동 분석, 컴포넌트별
  • 세계의 AI 지원 의료기기 시장 규모와 동향 분석 : 컴포넌트별(2021-2033년)
  • 소프트웨어
  • 하드웨어
    • AI 지원 의료기기
    • 스마트 웨어러블
  • 서비스

제5장 AI 지원 의료기기 시장 : 기술별 추정, 동향 분석

  • 부문 대시보드
  • 세계의 AI 지원 의료기기 시장 : 변동 분석, 기술별
  • 세계의 AI 지원 의료기기 시장 규모와 동향 분석 : 기술별(2021-2033년)
  • 머신러닝 알고리즘
    • 딥러닝
    • 감독형
    • 비감독형
    • 기타
  • 자연어처리(NLP)
  • 컴퓨터 비전 기술
  • 상황인식 컴퓨팅

제6장 AI 지원 의료기기 시장 : 치료 영역별 추정, 동향 분석

  • 부문 대시보드
  • 세계의 AI 지원 의료기기 시장 : 변동 분석, 치료 영역별
  • 세계의 AI 지원 의료기기 시장 규모와 동향 분석 : 치료 영역별(2021-2033년)
  • 심장병
  • 신경과
  • 방사선과
  • 종양
  • 정신건강 및 행동보건학
  • 안과
  • 기타

제7장 AI 지원 의료기기 시장 : 최종 용도별 추정, 동향 분석

  • 부문 대시보드
  • 세계의 AI 지원 의료기기 시장 : 변동 분석, 최종 용도별
  • 세계의 AI 지원 의료기기 시장 규모와 동향 분석 : 최종 용도별(2021-2033년)
  • 병원 및 클리닉
  • 진단센터
  • 외래수술센터(ASC)
  • 재택치료
  • 기타

제8장 AI 지원 의료기기 시장 : 지역별 추정, 동향 분석

  • 시장 점유율 분석 : 지역별(2024년, 2033년)
  • 시장 대시보드 : 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(UAE)
    • 쿠웨이트

제9장 경쟁 구도

  • 기업/경쟁 분류
  • 전략 매핑
  • 기업 시장 현황 분석(2024년)
  • 기업 개요/상장기업
    • Siemens Healthineers
    • GE Healthcare
    • Philips Healthcare
    • Medtronic
    • Johnson & Johnson(Ethicon)
    • Stryker
    • Canon Medical Systems
    • Zimmer Biomet
    • Abbott Laboratories
    • Boston Scientific
    • Exo Imaging, Inc.
    • Empatica
    • Aidoc
    • Clew Medical
    • Eko Health
    • Paige AI, Inc.
LSH 25.11.14

AI-Enabled Medical Devices Market Summary

The global AI-enabled medical devices market size was estimated at USD 13.67 billion in 2024 and is projected to reach USD 255.76 billion by 2033, growing at a CAGR of 38.5% from 2025 to 2033. Growing adoption of personalized and precision medicine, medical imaging and diagnostics advancements, and a supportive regulatory and reimbursement landscape contribute to market growth.

In addition, increasing healthcare digitalization and rising investments and industry collaborations are some other factors fueling market growth further. Personalized medicine drives the adoption of AI-enabled medical devices by enabling tailored healthcare based on individual genetics, environment, and lifestyle. By analyzing genomic data, imaging scans, and clinical records, AI systems deliver actionable insights for precision therapies. These technologies facilitate early disease detection, risk stratification, and treatment monitoring aligned with personalized medical protocols.

Furthermore, advanced predictive analytics empower clinicians to manage patient health, proactively improving clinical outcomes. For instance, in January 2025, Lunit received FDA 510(k) clearance for its Lunit SCOPE IO, an AI-powered tissue analysis software designed for immuno-oncology. The solution helps identify tumor-infiltrating lymphocytes (TILs) in cancer tissues, supporting precision immunotherapy decisions.

Moreover, the evolution of AI algorithms, including deep learning, natural language processing, and computer vision, propels AI medical device capabilities. Improved algorithm accuracy enhances diagnostic precision and reduces error rates. These technological improvements facilitate expanded applications, including AI-assisted imaging, predictive risk modeling, and automated patient monitoring. For instance, in June 2025, Clairity, Inc. became the first FDA-authorized AI platform for breast cancer prediction, receiving De Novo authorization for CLAIRITY BREAST. This innovative platform predicts a woman's five-year risk of developing breast cancer using only routine screening mammograms.

Global AI-enabled Medical Devices 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 the global AI-enabled medical devices market report based on component, technology, therapeutic area, end use, and region:

  • Component Outlook (Revenue, USD Million, 2021 - 2033)
  • Software
  • Hardware
    • AI-enabled Medical Devices
    • Smart Wearables
  • Services
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Machine Learning
    • Deep learning
    • Supervised
    • Unsupervised
    • Others
  • Natural Language Processing (NLP)
  • Computer Vision
  • Context-Aware Computing
  • Therapeutic Area Outlook (Revenue, USD Million, 2021 - 2033)
  • Cardiology
  • Neurology
  • Radiology
  • Oncology
  • Mental and Behavioral Health
  • Ophthalmology
  • Others
  • End Use Outlook (Revenue, USD Million, 2021 - 2033)
  • Hospitals & Clinics
  • Diagnostic Centers
  • Ambulatory Surgical Centers (ASCs)
  • Home Care Settings
  • 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. Therapeutic Area Segment
    • 1.2.4. End Use Segment
  • 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-Enabled Medical Devices 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 early disease diagnosis and predictive healthcare
      • 3.2.1.2. Increasing adoption of personalized medicine and precision healthcare approaches.
      • 3.2.1.3. Growing use of wearables and remote patient monitoring devices.
      • 3.2.1.4. Advancements in machine learning, deep learning, and big data analytics enabling smarter devices.
    • 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-Enabled Medical Devices 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

Chapter 4. AI-Enabled Medical Devices Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Global AI-Enabled Medical Devices Market Component Movement Analysis
  • 4.3. Global AI-Enabled Medical Devices Market Size & Trend Analysis, by Component, 2021 - 2033 (USD Million)
  • 4.4. Software
    • 4.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 4.5. Hardware
    • 4.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
    • 4.5.2. AI-enabled Medical Devices
      • 4.5.2.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
    • 4.5.3. Smart Wearables
      • 4.5.3.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 4.6. Services
    • 4.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)

Chapter 5. AI-Enabled Medical Devices Market: Technology Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Global AI-Enabled Medical Devices Market Technology Movement Analysis
  • 5.3. Global AI-Enabled Medical Devices Market Size & Trend Analysis, by Technology, 2021 - 2033 (USD Million)
  • 5.4. Machine Learning Algorithms
    • 5.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
    • 5.4.2. Deep learning
      • 5.4.2.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
    • 5.4.3. Supervised
      • 5.4.3.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
    • 5.4.4. Unsupervised
      • 5.4.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
    • 5.4.5. Others
      • 5.4.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 5.5. Natural Language Processing (NLP)
    • 5.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 5.6. Computer Vision Techniques
    • 5.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 5.7. Context-Aware Computing
    • 5.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)

Chapter 6. AI-Enabled Medical Devices Market: Therapeutic Area Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Global AI-enabled Medical Devices Market Therapeutic Area Movement Analysis
  • 6.3. Global AI-enabled Medical Devices Market Size & Trend Analysis, by Therapeutic Area, 2021 - 2033 (USD Million)
  • 6.4. Cardiology
    • 6.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 6.5. Neurology
    • 6.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 6.6. Radiology
    • 6.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 6.7. Oncology
    • 6.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 6.8. Mental and Behavioral Health
    • 6.8.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 6.9. Ophthalmology
    • 6.9.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 6.10. Others
    • 6.10.1. Market estimates and forecasts, 2021 - 2033 (USD Million)

Chapter 7. AI-Enabled Medical Devices Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Global AI-Enabled Medical Devices Market End Use Movement Analysis
  • 7.3. Global AI-Enabled Medical Devices Market Size & Trend Analysis, by End Use, 2021 - 2033 (USD Million)
  • 7.4. Hospitals & Clinics
    • 7.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 7.5. Diagnostic Centers
    • 7.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 7.6. Ambulatory Surgical Centers (ASCs)
    • 7.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 7.7. Home Care Settings
    • 7.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
  • 7.8. Others
    • 7.8.1. Market estimates and forecasts, 2021 - 2033 (USD Million)

Chapter 8. AI-Enabled Medical Devices Market: Regional Estimates & Trend Analysis

  • 8.1. Regional Market Share Analysis, 2024 & 2033
  • 8.2. Regional Market Dashboard
  • 8.3. Market Size & Forecasts Trend Analysis, 2021 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 2033 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company/Competition Categorization
  • 9.2. Strategy Mapping
  • 9.3. Company Market Position Analysis, 2024
  • 9.4. Company Profiles/Listing
    • 9.4.1. Siemens Healthineers
      • 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. GE Healthcare
      • 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. Philips Healthcare
      • 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. Medtronic
      • 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. Johnson & Johnson (Ethicon)
      • 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. Stryker
      • 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. Canon Medical Systems
      • 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. Zimmer Biomet
      • 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. Abbott Laboratories
      • 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. Boston Scientific
      • 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. Exo Imaging, Inc.
      • 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. Empatica
      • 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. Aidoc
      • 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. Clew Medical
      • 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. Eko Health
      • 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. Paige AI, Inc.
      • 9.4.16.1. Company overview
      • 9.4.16.2. Financial performance
      • 9.4.16.3. Product benchmarking
      • 9.4.16.4. Strategic initiatives
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