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시장보고서
상품코드
1941524
미국의 물리치료용 AI 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 전개 방식별, 용도별, 최종 용도별, 부문별 예측(2026-2033년)U.S. AI In Physical Therapy Market Size, Share & Trends Analysis Report By Component (Software, Services), By Deployment Mode (Cloud-based, Server-based), By Application, By End Use, And Segment Forecasts, 2026 - 2033 |
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미국의 물리치료용 AI 시장 요약
미국의 물리치료용 AI 시장은 2025년에 1억 7,800만 달러로 추정되며, 2033년까지 10억 6,981만 달러에 달할 것으로 예측됩니다.
2026년부터 2033년까지 CAGR 25.24%로 성장할 것으로 예상됩니다. 근골격계 질환(MSK)의 유병률 증가, 원격의료 및 원격 진료의 보급 확대가 시장 성장의 주요 요인으로 작용하고 있습니다.
고령화 인구의 증가, 좌식 생활습관, 스포츠 관련 부상 등을 배경으로 국내 근골격계 질환의 부담이 증가하고 있습니다. 인구 고령화에 따라 골관절염, 골다공증, 낙상 등의 질환이 증가하면서 물리치료 서비스에 대한 수요가 증가하고 있습니다. 예를 들어, 보건 정책 연구소의 보고서에 따르면, 매년 약 6,500만 명의 미국인을 괴롭히는 요통은 여전히 가장 흔한 근골격계 증상으로 꼽힙니다.
또한, 외래 및 병원 기반 물리치료 현장의 치료사 부족과 번아웃으로 인해 반복적인 작업과 문서 작성을 자동화하는 AI 도구에 대한 관심이 높아지고 있습니다. AI 기반 물리치료 소프트웨어는 진료 기록 자동 생성, 자택에서의 운동 지속 여부 추적, 실시간 성과 지표에 따른 계획 조정이 가능하여 관리 업무의 부담을 덜어줍니다.
컴퓨터 비전 시스템은 동작 형태에 대한 피드백과 반복 횟수 측정을 제공합니다. 이를 통해 치료사는 더 많은 환자를 비동기적으로 관리하고, 대면 시간을 복잡한 요구사항에 대응하는 데 사용할 수 있습니다. Abto Software의 데이터에 따르면, 디지털 재활은 회복률을 27% 향상시킵니다. 이러한 효율성은 임상의사 1인당 처리량과 수익 증가를 뒷받침합니다. 이는 인력을 직선적으로 늘리지 않고 규모를 확대하고자 하는 대규모 근골격계 네트워크, 병원 시스템, 디지털 물리치료 기업에게 매우 중요합니다.
자주 묻는 질문
목차
제1장 조사 방법과 범위
제2장 주요 요약
제3장 미국의 물리치료용 AI 시장의 변수, 동향 및 범위
제4장 미국의 물리치료용 AI 시장 : 구성요소별 추정·동향 분석
제5장 미국의 물리치료용 AI 시장 : 전개 방식별 추정·동향 분석
제6장 미국의 물리치료용 AI 시장 : 용도별 추정·동향 분석
제7장 물리치료용 AI 시장 : 최종 용별도 추정·동향 분석
제8장 경쟁 구도
KSMU.S. AI In Physical Therapy Market Summary
The U.S. AI in physical therapy market was estimated at USD 178.00 million in 2025 and is projected to reach USD 1,069.81 million by 2033, growing at a CAGR of 25.24% from 2026 to 2033. The rising prevalence of musculoskeletal (MSK) conditions, growing adoption of telehealth and telemedicine are significant factors contributing to market growth.
The country faces a growing burden of musculoskeletal conditions, driven by a larger geriatric population, sedentary lifestyles, and sports-related injuries. As the population ages, demand for physical therapy services rises, with conditions such as osteoarthritis, osteoporosis, and falls becoming more prevalent. For example, the Health Policy Institute reports that low back pain-affecting nearly 65 million Americans each year-remains the most common MSK complaint.
Moreover, therapist shortages and burnout in outpatient and hospital-based PT settings drive interest in AI tools that automate repetitive tasks and documentation. AI-driven physical therapy software is able to automatically generate visit notes, track home-exercise adherence, and adjust plans based on real-time performance metrics, thereby reducing administrative burden.
Computer-vision systems provide form feedback and rep counting. Therapists can supervise more patients asynchronously and allocate in-person time to address complex needs. Abto Software data shows digital rehabilitation improves recovery by 27%. These efficiency gains support higher throughput and revenue per clinician. This is critical for large MSK networks, hospital systems, and digital PT companies seeking to scale without increasing staff linearly.
U.S. AI In Physical Therapy Market Report Segmentation
This report forecasts revenue growth at the country level 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 U.S. AI in physical therapy market report based on component, deployment mode, modality, application, and end use:
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Software
- Services
- Deployment Mode Outlook (Revenue, USD Million, 2021 - 2033)
- Cloud-Based
- Server-based
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Musculoskeletal (MSK) Rehabilitation
- Post-Acute & Post-Surgical Rehabilitation
- Neurological Rehabilitation
- Sports & Performance Therapy
- Others
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Outpatient Physical Therapy Clinics
- Hospitals & Health Systems
- Homecare Settings
- Others
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. Deployment Mode Segment
- 1.2.3. Application Segment
- 1.2.4. 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. U.S. AI In Physical Therapy 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
- 3.2.2. Market restraint analysis
- 3.2.3. Market opportunity analysis
- 3.2.4. Market challenges analysis
- 3.3. Case Studies
- 3.4. AI in Physical Therapy Market Analysis Tools
- 3.4.1. Industry Analysis - Porter's
- 3.4.1.1. Supplier power
- 3.4.1.2. Buyer power
- 3.4.1.3. Substitution threat
- 3.4.1.4. Threat of new entrant
- 3.4.1.5. Competitive rivalry
- 3.4.2. PESTEL Analysis
- 3.4.2.1. Political landscape
- 3.4.2.2. Technological landscape
- 3.4.2.3. Economic landscape
- 3.4.2.4. Environmental Landscape
- 3.4.2.5. Legal Landscape
- ]3.4.2.6. Social Landscape
- 3.4.1. Industry Analysis - Porter's
Chapter 4. U.S. AI In Physical Therapy Market: Component Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. U.S. AI in Physical Therapy Market Component Movement Analysis
- 4.3. U.S. AI in Physical Therapy Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
- 4.4. Software
- 4.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 4.5. Services
- 4.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 5. U.S. AI In Physical Therapy Market: Deployment Mode Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. U.S. AI in Physical Therapy Market Deployment Mode Movement Analysis
- 5.3. U.S. AI in Physical Therapy Market Size & Trend Analysis, by Deployment Mode, 2021 to 2033 (USD Million)
- 5.4. Cloud-Based
- 5.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 5.5. Server-Based
- 5.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 6. U.S. AI In Physical Therapy Market: Application Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. U.S. AI in Physical Therapy Market Application Movement Analysis
- 6.3. U.S. AI in Physical Therapy Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
- 6.4. Musculoskeletal (MSK) Rehabilitation
- 6.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.5. Post-Acute & Post-Surgical Rehabilitation
- 6.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.6. Neurological Rehabilitation
- 6.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.7. Sports & Performance Therapy
- 6.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 6.8. Others
- 6.8.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 7. AI In Physical Therapy Market: End Use Estimates & Trend Analysis
- 7.1. Segment Dashboard
- 7.2. U.S. AI in Physical Therapy Market End Use Movement Analysis
- 7.3. U.S. AI in Physical Therapy Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
- 7.4. Outpatient Physical Therapy Clinics
- 7.4.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.5. Hospitals & Health Systems
- 7.5.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.6. Homecare Settings
- 7.6.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
- 7.7. Others
- 7.7.1. Market estimates and forecasts, 2021 - 2033 (USD Million)
Chapter 8. Competitive Landscape
- 8.1. Company/Competition Categorization
- 8.2. Strategy Mapping
- 8.3. Company Market Position Analysis, 2025
- 8.4. Company Profiles/Listing
- 8.4.1. Sword Health, Inc.
- 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. kemtai.com
- 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. Raintree Systems.
- 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. Prompt Therapy Solutions
- 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. Empower EMR (by MerlinWave, Inc.)
- 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. Kaia Health
- 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. NXGN Management, LLC.
- 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. Axxess
- 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. Zanda Health Pty Ltd (formerly Power Diary)
- 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. Meditab
- 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. HENO
- 8.4.11.1. Company overview
- 8.4.11.2. Financial performance
- 8.4.11.3. Product benchmarking
- 8.4.11.4. Strategic initiatives
- 8.4.1. Sword Health, Inc.
