The U.S. AI in physical therapy market was estimated at USD 178.00 million in 2025 and is projected to reach USD 1.06 billion 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.
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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, the analyst 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
Why You Should Buy This Report
- Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listings for you to stay ahead of the curve
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. U.S. AI In Physical Therapy Market Variables, Trends & Scope
Chapter 4. U.S. AI In Physical Therapy Market: Component Estimates & Trend Analysis
Chapter 5. U.S. AI In Physical Therapy Market: Deployment Mode Estimates & Trend Analysis
Chapter 6. U.S. AI In Physical Therapy Market: Application Estimates & Trend Analysis
Chapter 7. AI In Physical Therapy Market: End Use Estimates & Trend Analysis
Chapter 8. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
The leading players profiled in this U.S. AI in Physical Therapy market report include:- Sword Health, Inc.
- kemtai.com
- Raintree Systems.
- Prompt Therapy Solutions
- Empower EMR (by MerlinWave, Inc.)
- Kaia Health
- NXGN Management, LLC.
- Axxess
- Zanda Health Pty Ltd (formerly Power Diary)
- Meditab
- HENO
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 100 |
| Published | January 2026 |
| Forecast Period | 2025 - 2033 |
| Estimated Market Value ( USD | $ 178 Million |
| Forecasted Market Value ( USD | $ 1060 Million |
| Compound Annual Growth Rate | 25.2% |
| Regions Covered | United States |
| No. of Companies Mentioned | 12 |
