U.S. AI In Physical Therapy Market
Description
U.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:
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
100 Pages
- Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definitions
- 1.2.1. Component Segment
- 1.2.2. Service 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. Medical Billing Outsourcing 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. Growing focus on increasing profitability and revenue generation
- 3.2.1.2. Federal mandate to implement digital record keeping by healthcare providers
- 3.2.1.3. Rapidly changing healthcare regulations
- 3.2.2. Market restraint analysis
- 3.2.2.1. High threat of data breaching
- 3.2.2.2. Hidden outsourcing costs
- 3.3. U.S. Medical Billing Outsourcing 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
- 3.4. Case Study Insights
- Chapter 4. U.S. Medical Billing Outsourcing Market: Component Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. U.S. Medical Billing Outsourcing Market Component Movement Analysis
- 4.3. U.S. Medical Billing Outsourcing Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
- 4.4. In-house
- 4.4.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 4.5. Outsourced
- 4.5.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- Chapter 5. U.S. Medical Billing Outsourcing Market: Service Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. U.S. Medical Billing Outsourcing Market Service Movement Analysis
- 5.3. U.S. Medical Billing Outsourcing Market Size & Trend Analysis, by Service, 2021 to 2033 (USD Million)
- 5.4. Front-end Services
- 5.4.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 5.5. Middle-end Services
- 5.5.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 5.6. Back-end Services
- 5.6.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- Chapter 6. U.S. Medical Billing Outsourcing Market: End Use Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. U.S. Medical Billing Outsourcing Market End Use Movement Analysis
- 6.3. U.S. Medical Billing Outsourcing Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
- 6.4. Hospitals
- 6.4.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 6.5. Physician Offices
- 6.5.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- 6.6. Others
- 6.6.1. Market estimates and forecasts 2021 to 2033 (USD Million)
- Chapter 7. Competitive Landscape
- 7.1. Company/Competition Categorization
- 7.2. Strategy Mapping
- 7.3. Company Market Position Analysis, 2025
- 7.4. Company Profiles/Listing
- 7.4.1. R1RCM Inc.
- 7.4.1.1. Company overview
- 7.4.1.2. Financial performance
- 7.4.1.3. Product benchmarking
- 7.4.1.4. Strategic initiatives
- 7.4.2. Veradigm LLC (Allscripts Healthcare, LLC)
- 7.4.2.1. Company overview
- 7.4.2.2. Financial performance
- 7.4.2.3. Product benchmarking
- 7.4.2.4. Strategic initiatives
- 7.4.3. Oracle (Cerner Corporation)
- 7.4.3.1. Company overview
- 7.4.3.2. Financial performance
- 7.4.3.3. Product benchmarking
- 7.4.3.4. Strategic initiatives
- 7.4.4. eClinicalWorks
- 7.4.4.1. Company overview
- 7.4.4.2. Financial performance
- 7.4.4.3. Product benchmarking
- 7.4.4.4. Strategic initiatives
- 7.4.5. Kareo, Inc.
- 7.4.5.1. Company overview
- 7.4.5.2. Financial performance
- 7.4.5.3. Product benchmarking
- 7.4.5.4. Strategic initiatives
- 7.4.6. McKesson Corporation
- 7.4.6.1. Company overview
- 7.4.6.2. Financial performance
- 7.4.6.3. Product benchmarking
- 7.4.6.4. Strategic initiatives
- 7.4.7. Quest Diagnostics
- 7.4.7.1. Company overview
- 7.4.7.2. Financial performance
- 7.4.7.3. Product benchmarking
- 7.4.7.4. Strategic initiatives
- 7.4.8. Promantra Inc.
- 7.4.8.1. Company overview
- 7.4.8.2. Financial performance
- 7.4.8.3. Product benchmarking
- 7.4.8.4. Strategic initiatives
- 7.4.9. AdvancedMD, Inc.
- 7.4.9.1. Company overview
- 7.4.9.2. Financial performance
- 7.4.9.3. Product benchmarking
- 7.4.9.4. Strategic initiatives
- 7.4.10. eBilling Inc
- 7.4.10.1. Company overview
- 7.4.10.2. Financial performance
- 7.4.10.3. Product benchmarking
- 7.4.10.4. Strategic initiatives
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