세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 시장 규모, 점유율 및 동향 분석(컴포넌트별, 임상 용도별, 최종 용도별, 지역별), 부문별 예측(2025-2030년)

Artificial Intelligence In Remote Patient Monitoring Market Size, Share & Trends Analysis Report By Component (AI-enabled Devices), By Clinical Application (Cardiovascular Monitoring), By End Use, By Region, And Segment Forecasts, 2025 - 2030

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한글목차

시장 규모 및 동향 :

세계의 원격 환자 모니터링용 인공지능(AI) 시장 규모는 2024년 19억 9,000만 달러로 평가되었고, 2025년부터 2030년까지 연평균 성장률(CAGR) 27.98%로 성장할 것으로 예측됩니다. 맞춤형 의료 서비스로의 전환 추세, 의료 비용 절감에 대한 관심 증가, 기술 혁신이 시장 성장의 주요 요인으로 작용하고 있습니다. 또한, 병원 자원 부담을 줄이기 위해 고급 의료 플랫폼, 장치 및 솔루션의 채택이 증가함에 따라 시장 성장이 더욱 가속화될 것으로 예상됩니다.

당뇨병, 심혈관 질환, 신경계 질환, 호흡기 질환 등 만성 질환의 발생률 증가가 효과적인 모니터링 솔루션에 대한 수요를 촉진하고 있습니다. 인공지능(AI)은 스마트워치, 피트니스 트래커, 연속 혈당 모니터, 착용형 심전도 모니터 등 다양한 소스에서 수집된 대규모 데이터를 분석하여 환자 건강 상태가 악화되기 전에 의료진에게 경고하는 원격 환자 모니터링(RPM) 시스템을 강화합니다. 또한 이러한 기기들은 의료 제공자와 환자 모두에게 상당한 비용 절감을 가져옵니다. 조기 탐지 및 개입을 가능하게 함으로써 AI 기반 원격 환자 모니터링 시스템은 응급 방문과 병원 입원 필요성을 줄여 의료 비용을 감소시킵니다. 또한 AI는 데이터 분석 및 알림 생성 등 반복적인 작업을 자동화하여 의료진이 환자 치료에 집중할 수 있도록 합니다. 이 운영 효율성은 자원 활용을 최적화하고 의료 서비스의 전반적인 품질을 향상시킵니다.

목차

제1장 분석 방법 및 범위

제2장 주요 요약

제3장 원격 환자 모니터링용 인공지능(AI) 시장 : 변동 요인 및 경향 및 범위

• 시장 연관 전망
  • 상위 시장 전망
  • 관련 및 하위 시장 전망
• 시장 역학
  • 시장 성장 촉진요인 분석
  • 시장 성장 억제요인 분석
• 원격 환자 모니터링용 인공지능(AI) 시장 : 분석 도구
  • 업계 분석 : Porter's Five Forces 분석
  • PESTEL 분석

제4장 원격 환자 모니터링용 인공지능(AI) 시장 : 컴포넌트별 추정 및 동향 분석

• 부문 대시보드
• 세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 변동 분석, 컴포넌트별
• 세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 시장 규모 및 동향 분석, 컴포넌트별(2018-2030년)
• AI 대응 디바이스
  • 연속 혈당 모니터
  • 혈압 모니터
  • 산소포화도 측정기
  • 웨어러블 심전도 모니터
  • 체온 모니터
  • 호흡 모니터
  • 태아 심박 모니터
  • 기타
• 소프트웨어 플랫폼
• 서비스

제5장 원격 환자 모니터링용 인공지능(AI) 시장 : 임상 용도별 추정 및 동향 분석

• 부문 대시보드
• 세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 변동 분석, 임상 용도별
• 세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 시장 규모 및 동향 분석, 임상 용도별(2018-2030년)
• 심혈관 모니터링
• 당뇨병 관리
• 호흡 모니터링
• 종양학 원격 모니터링
• 정신 건강 및 행동 모니터링
• 수술 후 및 가정 내 회복
• 노인 및 허약 환자 모니터링
• 수면장애 및 신경학적 모니터링
• 기타

제6장 원격 환자 모니터링용 인공지능(AI) 시장 : 최종 용도별 추정 및 동향 분석

• 부문 대시보드
• 세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 변동 분석, 최종 용도별
• 세계의 원격 환자 모니터링용 인공지능(AI) 시장 : 시장 규모 및 동향 분석, 최종 용도별(2018-2030년)
• 병원 및 의료 시스템
• 재택치료 제공업체
• 1차 케어 및 외래 진료소
• 지불자 및 건강보험회사
• 의료기업
• 기타

제7장 원격 환자 모니터링용 인공지능(AI) 시장 : 지역별 추정 및 동향 분석

• 시장 점유율 분석 : 지역별(2024년 및 2030년)
• 지역 시장 대시보드
• 시장 규모 예측과 동향 분석(2018-2030년)
• 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
  • 남아프리카
  • 사우디아라비아
  • 아랍에미리트(UAE)
  • 쿠웨이트

제8장 경쟁 구도

• 기업 및 경쟁 분류
• 전략 매핑
• 기업시장 포지셔닝 분석(2024년)
• 기업 프로파일 및 상장 기업
  • BioIntelliSense
  • Jorie Healthcare Partners
  • HealthSnap, Inc
  • Roche
  • Dexcom
  • CompuGroup Medical
  • Abbott
  • Kakao Healthcare Corp.
  • Powerful Medical
  • Idoven
  • Viatom Technology Co., Ltd.
  • Lepu Medical(Carewell China)
  • AliveCor, Inc.
  • 100Plus
  • Datos
  • Credo Health AI
  • Center Health

HBR

영문 목차

영문목차

Market Size & Trends:

The global artificial intelligence in remote patient monitoring market was valued at USD 1.99 billion in 2024 and is projected to grow at a CAGR of 27.98% from 2025 to 2030. Growing trend towards personalized healthcare, increasing focus on cost reduction in healthcare, and technological advancements are factors contributing to market growth. In addition, the rising adoption of sophisticated healthcare platforms, devices, and solutions to reduce burden on hospital resources further fuel market growth.

The increasing incidence of chronic conditions such as diabetes, cardiovascular and neurological diseases, and respiratory disorders drives demand for effective monitoring solutions. Artificial intelligence (AI) enhances remote patient monitoring (RPM) systems by analyzing vast amounts of data from wearable devices such as smartwatches, fitness trackers, continuous glucose monitors, wearable ECG monitors, and other sources to identify trends and alert healthcare providers before patient health condition worsens. Moreover, these devices contribute to significant cost savings for both healthcare providers and patients. By enabling early detection and intervention, AI-enabled remote patient monitoring systems reduce the need for emergency visits and hospital admissions, leading to lower healthcare expenditures. In addition, AI automates routine tasks such as data analysis and alert generation, allowing healthcare professionals to focus on patient care. This operational efficiency optimizes resource utilization and enhances the overall quality of healthcare services.

Global Artificial Intelligence In Remote Patient Monitoring 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 2018 to 2030. For this study, Grand View Research has segmented the global artificial intelligence in remote patient monitoring market report based on component, clinical application, end use, and region:

• Component Outlook (Revenue, USD Million; 2018 - 2030)
• AI-enabled Devices
  • Continuous Glucose Monitor
  • Blood Pressure Monitors
  • Pulse Oximeters
  • Wearable ECG Monitor
  • Temperature Monitor
  • Respiratory Monitor
  • Fetal Heart Monitor
  • Others
• Software & Platform
• Services
• Clinical Application Outlook (Revenue, USD Million; 2018 - 2030)
• Cardiovascular Monitoring
• Diabetes Management
• Respiratory Monitoring
• Oncology Remote Monitoring
• Mental Health & Behavioral Monitoring
• Post-operative & Home Recovery
• Elderly/Frail Patient Monitoring
• Sleep Disorders & Neurological Monitoring
• Others
• End Use Outlook (Revenue, USD Million; 2018 - 2030)
• Hospitals & Health Systems
• Home Healthcare Providers
• Primary Care/Outpatient Clinics
• Payers & Health Insurers
• Healthcare Companies
• Others
• Regional Outlook (Revenue, USD Million; 2018 - 2030)
• 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
  • 1.2.2. Clinical Application
  • 1.2.3. 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. Artificial Intelligence in Remote Patient Monitoring 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 burden of chronic diseases
    • 3.2.1.2. Advancements in wearable devices & IoT integration
    • 3.2.1.3. Shift Toward Value-Based and Home-Based Care
  • 3.2.2. Market restraint analysis
    • 3.2.2.1. Data Security and privacy concerns
    • 3.2.2.2. High integration cost
• 3.3. Artificial Intelligence in Remote Patient Monitoring 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. Artificial Intelligence in Remote Patient Monitoring Market: Component Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Global Artificial Intelligence in Remote Patient Monitoring Market Component Movement Analysis
• 4.3. Global Artificial Intelligence in Remote Patient Monitoring Market Size & Trend Analysis, by Component, 2018 to 2030 (USD Million)
• 4.4. AI-enabled Devices
  • 4.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.2. Continuous Glucose Monitor
    • 4.4.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.3. Blood Pressure Monitors
    • 4.4.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.4. Pulse Oximeters
    • 4.4.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.5. Wearable ECG Monitor
    • 4.4.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.6. Temperature Monitor
    • 4.4.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.7. Respiratory Monitor
    • 4.4.7.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.8. Fetal Heart Monitor
    • 4.4.8.1. Market estimates and forecasts 2018 to 2030 (USD Million)
  • 4.4.9. Others
    • 4.4.9.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 4.5. Software & Platform
  • 4.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 4.6. Services
  • 4.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 5. Artificial Intelligence in Remote Patient Monitoring Market: Clinical Application Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Global Artificial Intelligence in Remote Patient Monitoring Market Clinical Application Movement Analysis
• 5.3. Global Artificial Intelligence in Remote Patient Monitoring Market Size & Trend Analysis, by Clinical Application, 2018 to 2030 (USD Million)
• 5.4. Cardiovascular Monitoring
  • 5.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.5. Diabetes Management
  • 5.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.6. Respiratory Monitoring
  • 5.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.7. Oncology Remote Monitoring
  • 5.7.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.8. Mental Health & Behavioral Monitoring
  • 5.8.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.9. Post-operative & Home Recovery
  • 5.9.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.10. Elderly/Frail Patient Monitoring
  • 5.10.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.11. Sleep Disorders & Neurological Monitoring
  • 5.11.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 5.12. Others
  • 5.12.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 6. Artificial Intelligence in Remote Patient Monitoring Market: End Use Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Global Artificial Intelligence in Remote Patient Monitoring Market End Use Movement Analysis
• 6.3. Global Artificial Intelligence in Remote Patient Monitoring Market Size & Trend Analysis, by End Use, 2018 to 2030 (USD Million)
• 6.4. Hospitals & Health Systems
  • 6.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 6.5. Home Healthcare Providers
  • 6.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 6.6. Primary Care/Outpatient Clinics
  • 6.6.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 6.7. Payers & Health Insurers
  • 6.7.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 6.8. Healthcare Companies
  • 6.8.1. Market estimates and forecasts 2018 to 2030 (USD Million)
• 6.9. Others
  • 6.9.1. Market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 7. Artificial Intelligence in Remote Patient Monitoring Market: Regional Estimates & Trend Analysis

• 7.1. Regional Market Share Analysis, 2024 & 2030
• 7.2. Regional Market Dashboard
• 7.3. Market Size & Forecasts Trend Analysis, 2018 to 2030:
• 7.4. North America
  • 7.4.1. U.S.
    • 7.4.1.1. Key country dynamics
    • 7.4.1.2. Regulatory framework
    • 7.4.1.3. Competitive scenario
    • 7.4.1.4. U.S. market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.4.2. Canada
    • 7.4.2.1. Key country dynamics
    • 7.4.2.2. Regulatory framework
    • 7.4.2.3. Competitive scenario
    • 7.4.2.4. Canada market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.4.3. Mexico
    • 7.4.3.1. Key country dynamics
    • 7.4.3.2. Regulatory framework
    • 7.4.3.3. Competitive scenario
    • 7.4.3.4. Mexico market estimates and forecasts 2018 to 2030 (USD Million)
• 7.5. Europe
  • 7.5.1. UK
    • 7.5.1.1. Key country dynamics
    • 7.5.1.2. Regulatory framework
    • 7.5.1.3. Competitive scenario
    • 7.5.1.4. UK market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.2. Germany
    • 7.5.2.1. Key country dynamics
    • 7.5.2.2. Regulatory framework
    • 7.5.2.3. Competitive scenario
    • 7.5.2.4. Germany market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.3. France
    • 7.5.3.1. Key country dynamics
    • 7.5.3.2. Regulatory framework
    • 7.5.3.3. Competitive scenario
    • 7.5.3.4. France market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.4. Italy
    • 7.5.4.1. Key country dynamics
    • 7.5.4.2. Regulatory framework
    • 7.5.4.3. Competitive scenario
    • 7.5.4.4. Italy market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.5. Spain
    • 7.5.5.1. Key country dynamics
    • 7.5.5.2. Regulatory framework
    • 7.5.5.3. Competitive scenario
    • 7.5.5.4. Spain market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.6. Norway
    • 7.5.6.1. Key country dynamics
    • 7.5.6.2. Regulatory framework
    • 7.5.6.3. Competitive scenario
    • 7.5.6.4. Norway market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.7. Sweden
    • 7.5.7.1. Key country dynamics
    • 7.5.7.2. Regulatory framework
    • 7.5.7.3. Competitive scenario
    • 7.5.7.4. Sweden market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.5.8. Denmark
    • 7.5.8.1. Key country dynamics
    • 7.5.8.2. Regulatory framework
    • 7.5.8.3. Competitive scenario
    • 7.5.8.4. Denmark market estimates and forecasts 2018 to 2030 (USD Million)
• 7.6. Asia Pacific
  • 7.6.1. Japan
    • 7.6.1.1. Key country dynamics
    • 7.6.1.2. Regulatory framework
    • 7.6.1.3. Competitive scenario
    • 7.6.1.4. Japan market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.2. China
    • 7.6.2.1. Key country dynamics
    • 7.6.2.2. Regulatory framework
    • 7.6.2.3. Competitive scenario
    • 7.6.2.4. China market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.3. India
    • 7.6.3.1. Key country dynamics
    • 7.6.3.2. Regulatory framework
    • 7.6.3.3. Competitive scenario
    • 7.6.3.4. India market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.4. Australia
    • 7.6.4.1. Key country dynamics
    • 7.6.4.2. Regulatory framework
    • 7.6.4.3. Competitive scenario
    • 7.6.4.4. Australia market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.5. South Korea
    • 7.6.5.1. Key country dynamics
    • 7.6.5.2. Regulatory framework
    • 7.6.5.3. Competitive scenario
    • 7.6.5.4. South Korea market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.6.6. Thailand
    • 7.6.6.1. Key country dynamics
    • 7.6.6.2. Regulatory framework
    • 7.6.6.3. Competitive scenario
    • 7.6.6.4. Thailand market estimates and forecasts 2018 to 2030 (USD Million)
• 7.7. Latin America
  • 7.7.1. Brazil
    • 7.7.1.1. Key country dynamics
    • 7.7.1.2. Regulatory framework
    • 7.7.1.3. Competitive scenario
    • 7.7.1.4. Brazil market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.7.2. Argentina
    • 7.7.2.1. Key country dynamics
    • 7.7.2.2. Regulatory framework
    • 7.7.2.3. Competitive scenario
    • 7.7.2.4. Argentina market estimates and forecasts 2018 to 2030 (USD Million)
• 7.8. MEA
  • 7.8.1. South Africa
    • 7.8.1.1. Key country dynamics
    • 7.8.1.2. Regulatory framework
    • 7.8.1.3. Competitive scenario
    • 7.8.1.4. South Africa market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.8.2. Saudi Arabia
    • 7.8.2.1. Key country dynamics
    • 7.8.2.2. Regulatory framework
    • 7.8.2.3. Competitive scenario
    • 7.8.2.4. Saudi Arabia market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.8.3. UAE
    • 7.8.3.1. Key country dynamics
    • 7.8.3.2. Regulatory framework
    • 7.8.3.3. Competitive scenario
    • 7.8.3.4. UAE market estimates and forecasts 2018 to 2030 (USD Million)
  • 7.8.4. Kuwait
    • 7.8.4.1. Key country dynamics
    • 7.8.4.2. Regulatory framework
    • 7.8.4.3. Competitive scenario
    • 7.8.4.4. Kuwait market estimates and forecasts 2018 to 2030 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Company/Competition Categorization
• 8.2. Strategy Mapping
• 8.3. Company Market Position Analysis, 2024
• 8.4. Company Profiles/Listing
  • 8.4.1. BioIntelliSense
    • 8.4.1.1. Company overview
    • 8.4.1.2. Financial performance
    • 8.4.1.3. Product benchmarking
    • 8.4.1.4. Strategic initiatives
  • 8.4.2. Jorie Healthcare Partners
    • 8.4.2.1. Company overview
    • 8.4.2.2. Financial performance
    • 8.4.2.3. Product benchmarking
    • 8.4.2.4. Strategic initiatives
  • 8.4.3. HealthSnap, Inc
    • 8.4.3.1. Company overview
    • 8.4.3.2. Financial performance
    • 8.4.3.3. Product benchmarking
    • 8.4.3.4. Strategic initiatives
  • 8.4.4. Roche
    • 8.4.4.1. Company overview
    • 8.4.4.2. Financial performance
    • 8.4.4.3. Product benchmarking
    • 8.4.4.4. Strategic initiatives
  • 8.4.5. Dexcom
    • 8.4.5.1. Company overview
    • 8.4.5.2. Financial performance
    • 8.4.5.3. Product benchmarking
    • 8.4.5.4. Strategic initiatives
  • 8.4.6. CompuGroup Medical
    • 8.4.6.1. Company overview
    • 8.4.6.2. Financial performance
    • 8.4.6.3. Product benchmarking
    • 8.4.6.4. Strategic initiatives
  • 8.4.7. Abbott
    • 8.4.7.1. Company overview
    • 8.4.7.2. Financial performance
    • 8.4.7.3. Product benchmarking
    • 8.4.7.4. Strategic initiatives
  • 8.4.8. Kakao Healthcare Corp.
    • 8.4.8.1. Company overview
    • 8.4.8.2. Financial performance
    • 8.4.8.3. Product benchmarking
    • 8.4.8.4. Strategic initiatives
  • 8.4.9. Powerful Medical
    • 8.4.9.1. Company overview
    • 8.4.9.2. Financial performance
    • 8.4.9.3. Product benchmarking
    • 8.4.9.4. Strategic initiatives
  • 8.4.10. Idoven
    • 8.4.10.1. Company overview
    • 8.4.10.2. Financial performance
    • 8.4.10.3. Product benchmarking
    • 8.4.10.4. Strategic initiatives
  • 8.4.11. Viatom Technology Co., Ltd.
    • 8.4.11.1. Company overview
    • 8.4.11.2. Financial performance
    • 8.4.11.3. Product benchmarking
    • 8.4.11.4. Strategic initiatives
  • 8.4.12. Lepu Medical (Carewell China)
    • 8.4.12.1. Company overview
    • 8.4.12.2. Financial performance
    • 8.4.12.3. Product benchmarking
    • 8.4.12.4. Strategic initiatives
  • 8.4.13. AliveCor, Inc.
    • 8.4.13.1. Company overview
    • 8.4.13.2. Financial performance
    • 8.4.13.3. Product benchmarking
    • 8.4.13.4. Strategic initiatives
  • 8.4.14. 100Plus
    • 8.4.14.1. Company overview
    • 8.4.14.2. Financial performance
    • 8.4.14.3. Product benchmarking
    • 8.4.14.4. Strategic initiatives
  • 8.4.15. Datos
    • 8.4.15.1. Company overview
    • 8.4.15.2. Financial performance
    • 8.4.15.3. Product benchmarking
    • 8.4.15.4. Strategic initiatives
  • 8.4.16. Credo Health AI
    • 8.4.16.1. Company overview
    • 8.4.16.2. Financial performance
    • 8.4.16.3. Product benchmarking
    • 8.4.16.4. Strategic initiatives
  • 8.4.17. Center Health
    • 8.4.17.1. Company overview
    • 8.4.17.2. Financial performance
    • 8.4.17.3. Product benchmarking
    • 8.4.17.4. Strategic initiatives

관련자료