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 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