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미국의 헬스케어 분야 인공지능 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 용도별, 기술별, 최종 용도별, 부문별 예측(2025-2033년)

U.S. Artificial Intelligence In Healthcare Market Size, Share & Trends Analysis Report By Component (Software, Solution, Services), By Application (Robot Assisted Surgery, Clinical Trials), By Technology, By End Use, 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.

미국의 헬스케어 분야 인공지능 시장 요약

미국의 헬스케어 분야 인공지능 시장 규모는 2024년 132억 6,000만 달러로 추정되며, 2025년부터 2033년까지 36.76%의 CAGR로 성장할 것으로 예상됩니다.

강력한 디지털 헬스 인프라와 AI 기술에 대한 투자, 만성질환의 확산, 개인화 및 원격의료 솔루션에 대한 수요 증가가 시장 성장을 촉진하는 요인으로 작용하고 있습니다.

또한, 정부의 지원책, 헬스케어 전문가 부족, 업무 효율화에 대한 수요 증가 등도 시장 성장을 더욱 촉진하는 요인으로 작용하고 있습니다. 예를 들어, 2024년 10월 아마존 원 메디컬(Amazon One Medical)은 자체 전자 의료 기록 시스템인 '1Life'에 통합된 AI 툴을 발표하여 환자 치료를 강화하고 임상의의 관리 부담을 경감시켰습니다.

당뇨병, 심혈관질환, 암과 같은 만성질환의 유병률 증가와 급속한 고령화는 미국 내 AI 기반 헬스케어 솔루션에 대한 수요를 크게 촉진하고 있습니다. 예를 들어, CDC에 따르면 미국인 10명 중 6명이 적어도 한 가지 이상의 만성질환을 앓고 있습니다. 또한 인구문제연구소에 따르면 2050년까지 65세 이상 인구는 8,200만 명에 달할 것으로 예상되며, 고령화 인구는 크게 증가할 것으로 예측됩니다. 이러한 인구통계학적 변화는 AI가 중요한 역할을 할 수 있는 장기 요양, 지속적인 건강 모니터링, 효과적인 질병 관리를 강화할 수 있는 기회를 제공합니다.

또한, 중국의 헬스케어 인프라는 첨단 디지털 헬스케어 생태계, 전자건강기록(EHR)의 광범위한 채택, 광범위한 데이터 저장소, 최첨단 의료 IT 시스템 등이 특징입니다. 주요 헬스 테크 기업들은 헬스케어 AI 솔루션에 많은 투자를 하고 있으며, 스타트업들은 벤처 캐피털로부터 많은 자금을 유치하고 있습니다. 예를 들어, 2025년 2월 세계 헬스케어 기업 Harrison.ai는 AI를 활용한 의료 진단 및 워크플로우 솔루션을 추진하기 위해 시리즈 C에서 1억 1,200만 달러의 자금을 조달하고 미국 내 거점을 확대했습니다.

또한, 원격 환자 모니터링을 위한 원격의료 솔루션의 채택이 증가하면서 시장 성장을 더욱 촉진하고 있으며, AI 시스템은 환자 데이터 분석을 자동화하고, 실시간 의사결정을 촉진하며, 전통적인 임상 환경 밖에서 환자 참여를 개선하여 가상 의료를 강화합니다. 강화합니다. 예를 들어, 2024년 12월 AI 기반 원격의료 플랫폼 제공업체인 VSee Health는 Tele911과 제휴하여 응급실 과밀화를 해소하고 응급 의료 서비스(EMS)의 인력 부족을 해결하기 위해 최초의 가상 응급실 부서를 설립했습니다. 이러한 노력은 특히 원격지나 의료 서비스가 부족한 지역의 환자들에게 더 가깝고 편리하게 의료 서비스를 제공할 수 있도록 돕습니다. 따라서 AI를 활용한 원격의료 솔루션에 대한 수요가 증가하여 시장 성장에 기여할 것입니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 미국의 헬스케어 분야 인공지능 시장 변수, 동향, 범위

  • 시장 계통 전망
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
  • 시장 기회 분석
  • 시장 과제 분석
  • 미국의 헬스케어 분야 인공지능 시장 분석 툴
    • 업계 분석 - Porter's Five Forces 분석
    • PESTEL 분석
  • 사례 연구
  • 규제 프레임워크

제4장 미국의 헬스케어 분야 인공지능 시장 : 구성요소 추정·동향 분석

  • 정의와 범위
  • 부문 대시보드
  • 미국의 헬스케어 분야 인공지능 시장 구성요소 변동 분석
  • 미국의 헬스케어 분야 인공지능 시장 규모와 동향 분석(구성요소별, 2021-2033년)
    • 소프트웨어 솔루션
    • 하드웨어
    • 서비스

제5장 미국의 헬스케어 분야 인공지능 시장 : 용도 추정·동향 분석

  • 부문 대시보드
  • 미국의 헬스케어 분야 인공지능 시장 용도 변동 분석
  • 미국의 헬스케어 분야 인공지능 시장(AI) 규모와 동향 분석(용도별, 2021-2033년)
    • 로봇 지원 수술
    • 가상 비서
    • 관리 워크플로우 어시스턴트
    • 접속형 의료기기
    • 의료 영상 진단
    • 임상시험
    • 부정행위 검출
    • 사이버 보안
    • 투여량 오차 절감
    • 정밀의료
    • 의약품 발견과 개발
    • 라이프스타일 관리와 원격 환자 모니터링
    • 웨어러블
    • 기타

제6장 미국의 헬스케어 분야 인공지능 시장 : 기술 추정·동향 분석

  • 부문 대시보드
  • 미국의 헬스케어 분야 인공지능 시장 기술 변동 분석
  • 미국의 헬스케어 분야 인공지능 시장(AI) 규모와 동향 분석(기술별, 2021-2033년)
    • 머신러닝
    • NLP
    • 컴퓨터 비전
    • 상황인식 컴퓨팅

제7장 미국의 헬스케어 분야 인공지능 시장 : 최종 용도 추정·동향 분석

  • 부문 대시보드
  • 미국의 헬스케어 분야 인공지능 시장 최종 용도 변동 분석
  • 미국의 헬스케어 분야 인공지능 시장(AI) 규모와 동향 분석(최종 용도별, 2021-2033년)
    • 병원·헬스케어·헬스케어 제공자
    • 의료 지불자
    • 제약·바이오테크놀러지 기업
    • 환자
    • 기타

제8장 경쟁 구도

  • 기업/경쟁 분류
  • 전략 매핑
  • 기업 시장 상황 분석, 2024년
  • 기업 개요/상장 기업
    • IBM Watson Health
    • Microsoft Corporation
    • Google Health
    • NVIDIA Corporation
    • Amazon Web Services(AWS)
    • Tempus AI
    • Aidoc
    • Eko Health Inc.
    • Hinge Health
    • Abridge
ksm 25.07.24

U.S. Artificial Intelligence In Healthcare Market Summary

The U.S. Artificial Intelligence in healthcare market size was estimated at USD 13.26 billion in 2024 and is projected to grow at a CAGR of 36.76% from 2025 to 2033. Robust digital health infrastructure and investments in AI technology, the growing prevalence of chronic diseases, and the increasing demand for personalized and remote healthcare solutions are factors driving market growth.

In addition, supportive government initiatives, a shortage of healthcare professionals, and the growing need for operational efficiency are some other factors propelling market growth further. For instance, in October 2024, Amazon One Medical launched AI tools integrated into its proprietary electronic health record system, 1Life, to enhance patient care and reduce clinician administrative burden.

The increasing prevalence of chronic diseases such as diabetes, cardiovascular conditions, and cancer, coupled with a rapidly aging population, is significantly driving the demand for AI-enabled healthcare solutions in the United States. For instance, according to the CDC, 6 in 10 Americans are affected by at least one chronic disease. In addition, the aging demographic is projected to grow substantially, with the Population Reference Bureau estimating that by 2050, the population aged 65 or older is expected to be 82 million. This demographic shift presents an opportunity to enhance long-term care, continuous health monitoring, and effective disease management, where AI is potentially significant.

Furthermore, the country's healthcare infrastructure is characterized by an advanced digital health ecosystem, widespread adoption of electronic health records (EHR), extensive data repositories, and cutting-edge health IT systems. Major health tech firms have made significant investments in healthcare AI solutions, while startups continue to attract substantial venture capital funding. For instance, in February 2025, Harrison.ai, a global health tech company, expanded its U.S. footprint with USD 112 million in Series C funding to advance its AI-powered medical diagnostic and workflow solutions.

Moreover, the increasing adoption of telehealth solutions for remote patient monitoring drives market growth further. AI systems enhance virtual care by automating patient data analysis, facilitating real-time decision-making, and improving patient engagement outside traditional clinical settings. For instance, in December 2024, VSee Health, anAI-powered telehealth platform provider, partnered with Tele911 to create the first virtual emergency department. The aim is to reduce ER overcrowding and address emergency medical services (EMS) staffing shortages. Such initiatives enable healthcare delivery to be more accessible and convenient, especially for patients in remote or underserved areas. Thus, they increase the demand for AI-powered telehealth solutions and contribute to market growth.

U.S. Artificial Intelligence In Healthcare Market Report Segmentation

This report forecasts revenue growth at country-level and provides an analysis of industry trends in each of the sub segments from 2021 to 2033. For this study, Grand View Research, Inc. has segmented the U.S. artificial intelligence in healthcare market report based on component, application, technology, and end use.

  • Component Outlook (Revenue, USD Million, 2021 - 2033)
  • Software Solutions
    • AI platform
    • Application Program Interface (API)
    • Machine Learning Framework
    • AI Solutions
    • On premise
    • Cloud based
  • Hardware
    • Processor
    • MPU (memory protection unit)
    • FPGA (Field-programmable gate array)
    • GPU (Graphics processing unit)
    • ASIC (Application-specific integrated circuit)
    • Memory (RAM ROM)
    • Network
    • Adapter
    • Interconnect
    • Switch
  • Services
    • Deployment & Integration
    • Support & Maintenance
    • Others
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • Robot Assisted Surgery
  • Virtual Assistants
  • Administrative Workflow Assistants
  • Connected Medical devices
  • Medical Imaging & Diagnostics
  • Clinical Trials
  • Fraud Detection
  • Cybersecurity
  • Dosage Error Reduction
  • Precision medicine
  • Drug discovery & development
  • Lifestyle management & remote patient monitoring
  • Wearables
  • Others
  • Technology Outlook (Revenue, USD Million, 2021 - 2033)
  • Machine Learning
    • Deep learning
    • Supervised
    • Unsupervised
    • Others
  • NLP
    • Smart Assistance
    • OCR (Optical Character Recognition)
    • Auto Coding
    • Text analytics
    • Speech analytics
    • Classification and categorization
  • Computer Vision
  • Context-Aware Computing
  • End Use Outlook (Revenue, USD Million, 2021 - 2033)
  • Hospitals & Healthcare providers
  • Healthcare payers
  • Pharmaceutical & Biotechnology Companies
  • Patients
  • Others

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
    • 1.2.1. Deployment Mode
    • 1.2.2. Monitoring Type Segment
    • 1.2.3. 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. U.S. Artificial Intelligence in Healthcare Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
      • 3.2.1.1. Rising Demand for Healthcare Efficiency
      • 3.2.1.2. Increase in Chronic Diseases and Geriatric Population
      • 3.2.1.3. Advancements in AI and Cloud Infrastructure
    • 3.2.2. Market Restraint Analysis
      • 3.2.2.1. High Implementation Costs
      • 3.2.2.2. Data Privacy and Security Concerns
  • 3.3. Market Opportunity Analysis
  • 3.4. Market Challenges Analysis
  • 3.5. U.S. Artificial Intelligence in Healthcare Market Analysis Tools
    • 3.5.1. Industry Analysis - Porter's
      • 3.5.1.1. Supplier power
      • 3.5.1.2. Buyer power
      • 3.5.1.3. Substitution threat
      • 3.5.1.4. Threat of new entrant
      • 3.5.1.5. Competitive rivalry
    • 3.5.2. PESTEL Analysis
      • 3.5.2.1. Political landscape
      • 3.5.2.2. Technological landscape
      • 3.5.2.3. Economic landscape
      • 3.5.2.4. Environmental Landscape
      • 3.5.2.5. Legal Landscape
      • 3.5.2.6. Social Landscape
  • 3.6. Case Study
  • 3.7. Regulatory Framework

Chapter 4. U.S. Artificial Intelligence in Healthcare Market: Component Estimates & Trend Analysis

  • 4.1. Definitions and Scope
  • 4.2. Segment Dashboard
  • 4.3. U.S. Artificial Intelligence in Healthcare Market Movement Analysis
  • 4.4. U.S. Artificial Intelligence in Healthcare Market Size & Trend Analysis,
  • 4.5. by Component, 2021 to 2033 (USD Million)
    • 4.5.1. Software Solutions
      • 4.5.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.1.1.1. AI platform
          • 4.5.1.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.1.1.1.2. Application Program Interface (API)
            • 4.5.1.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.1.1.1.3. Machine Learning Framework
            • 4.5.1.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.1.1.2. AI Solutions
          • 4.5.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.1.1.2.2. On premise
            • 4.5.1.1.2.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.1.1.2.3. Cloud based
            • 4.5.1.1.2.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 4.5.2. Hardware
      • 4.5.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.2.1.1. Processor
          • 4.5.2.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.1.2. MPU (memory protection unit)
            • 4.5.2.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.1.3. FPGA (Field-programmable gate array)
            • 4.5.2.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.1.4. GPU (Graphics processing unit)
            • 4.5.2.1.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.1.5. ASIC (Application-specific integrated circuit)
            • 4.5.2.1.1.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.2.1.2. Memory
          • 4.5.2.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.2.1.3. Network
          • 4.5.2.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.3.2. Adapter
            • 4.5.2.1.3.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.3.3. Interconnect
            • 4.5.2.1.3.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
          • 4.5.2.1.3.4. Switch
            • 4.5.2.1.3.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 4.5.3. Services
      • 4.5.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.3.1.1. Deployment & Integration
          • 4.5.3.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.3.1.2. Support & Maintenance
          • 4.5.3.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 4.5.3.1.3. Others (Consulting, Compliance management etc.)
          • 4.5.3.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 5. U.S. Artificial Intelligence in Healthcare Market: Application Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. U.S. Artificial Intelligence in Healthcare Market Application Movement Analysis
  • 5.3. U.S. Artificial Intelligence in Healthcare Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
    • 5.3.1. Robot Assisted Surgery
      • 5.3.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.2. Virtual Assistants
      • 5.3.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.3. Administrative Workflow Assistants
      • 5.3.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.4. Connected Medical Devices
      • 5.3.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.5. Medical Imagining & Diagnosis
      • 5.3.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.6. Clinical Trials
      • 5.3.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.7. Fraud Detection
      • 5.3.7.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.8. Cybersecurity
      • 5.3.8.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.9. Dosage Error Reduction
      • 5.3.9.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.10. Precision medicine
      • 5.3.10.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.11. Drug discovery & development
      • 5.3.11.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.12. Lifestyle management & remote patient monitoring
      • 5.3.12.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.13. Wearables
      • 5.3.13.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 5.3.14. Others
      • 5.3.14.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 6. U.S. Artificial Intelligence in Healthcare Market: Technology Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. U.S. Artificial Intelligence in Healthcare Market Technology Movement Analysis
  • 6.3. U.S. Artificial Intelligence in Healthcare Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
    • 6.3.1. Machine Learning
      • 6.3.1.1. Market estimates and forecast 2021 to 2033 (USD million)
        • 6.3.1.1.1. Deep Learning
          • 6.3.1.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.1.1.2. Supervised
          • 6.3.1.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.1.1.3. Unsupervised
          • 6.3.1.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.1.1.4. Others (Reinforcement learning, Semi supervised)
          • 6.3.1.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 6.3.2. NLP
      • 6.3.2.1. Market estimates and forecast 2021 to 2033 (USD million)
        • 6.3.2.1.1. Smart Assistance
          • 6.3.2.1.1.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.2.1.2. OCR (Optical Character Recognition)
          • 6.3.2.1.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.2.1.3. Auto Coding
          • 6.3.2.1.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.2.1.4. Text analytics
          • 6.3.2.1.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.2.1.5. Speech analytics
          • 6.3.2.1.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
        • 6.3.2.1.6. Classification and categorization
          • 6.3.2.1.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 6.3.3. Computer Vision
      • 6.3.3.1. Market estimates and forecast 2021 to 2033 (USD million)
    • 6.3.4. Context-aware computing
      • 6.3.4.1. Market estimates and forecast 2021 to 2033 (USD million)

Chapter 7. U.S. Artificial Intelligence in Healthcare Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. U.S. Artificial Intelligence in Healthcare Market End Use Movement Analysis
  • 7.3. U.S. Artificial Intelligence in Healthcare Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
    • 7.3.1. Hospitals & Healthcare & Healthcare providers
      • 7.3.1.1. Market estimates and forecast 2021 to 2033 (USD million)
    • 7.3.2. Healthcare payers
      • 7.3.2.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 7.3.3. Pharmaceutical & Biotechnology Companies
      • 7.3.3.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 7.3.4. Patients
      • 7.3.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
    • 7.3.5. Others
      • 7.3.5.1. Market estimates and forecast 2021 to 2033 (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. IBM Watson Health
      • 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. Microsoft Corporation
      • 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. Google Health
      • 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. NVIDIA Corporation
      • 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. Amazon Web Services (AWS)
      • 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. Tempus AI
      • 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. Aidoc
      • 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. Eko Health Inc.
      • 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. Hinge Health
      • 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. Abridge
      • 8.4.10.1. Company overview
      • 8.4.10.2. Financial performance
      • 8.4.10.3. Product benchmarking
      • 8.4.10.4. Strategic initiatives
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