AI 기반 보행 및 이동 분석 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI-powered gait and mobility analytics market is expected to grow from USD 0.85 billion in 2025 to USD 0.94 billion in 2026 and is forecasted to reach USD 1.72 billion by 2031 at 12.85% CAGR over 2026-2031.

This report is Segmented by Component (Software, Hardware, Services), Deployment (Cloud-Based, Hybrid, On-Premises), Technology (Computer Vision-Based Analytics, and More), Assessment (Gait Analysis, and More), Application (Neurological Disorders, and More), End-User (Hospitals, and More), Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Value (USD).

Global AI-Powered Gait and Mobility Analytics Market Trends and Insights

Rising Adoption of AI-Assisted Biomechanical Diagnostics

The AI-powered gait and mobility analytics market is benefiting from a shift in biomechanical assessment from specialist labs into normal clinical use. AI is lowering the skill burden required to extract useful gait parameters, which makes advanced assessment more practical for hospitals and outpatient settings. Qualisys launched OnTraq in January 2026 with a markerless functional assessment that can evaluate 20 athletes in 30 minutes without interrupting training, and that product example shows how throughput has become a commercial advantage alongside accuracy. The same markerless approach also lowers the entry barrier for clinics that could not previously justify a full motion capture installation, which broadens the addressable base for the AI-powered gait and mobility analytics market. Vendors that can prove clinical equivalence against force-plate-based systems are likely to win more hospital demand as providers move away from manual observational tools.

Expansion of Remote Rehabilitation and Home Monitoring Workflows

The AI-powered gait and mobility analytics market is also being lifted by the fast buildout of remote rehabilitation models. Providers are structuring care around continuous movement data, and that supports software that can follow patients outside formal lab or clinic settings. Net Health expanded Limber Health in February 2026 as a remote therapeutic monitoring platform for rehabilitation providers, and this shows that digital rehab pathways are becoming a stable demand channel rather than a temporary pilot trend. This shift matters because home-based monitoring increases the need for standard scores, longitudinal reporting, and workflow-ready dashboards across the AI-powered gait and mobility analytics market. Platforms that align mobility metrics with payer and provider documentation needs are likely to hold a structural advantage as digital rehab models mature.

High Hardware Capex and Calibration Burden

The AI-powered gait and mobility analytics market still faces a practical barrier in the cost of clinical-grade equipment. Force plates, multi-camera systems, and dense IMU setups remain expensive for providers below the secondary-care level, which limits adoption outside well-funded hospitals and specialty centers. A 2024 technoeconomic study in Catalonia found that full gait-oriented wearable medical IoT systems carried capital cost uncertainty of +-20% to +-30%, and that raised total ownership risk for care facilities working with tight budgets. The burden is not only the purchase price because recurring recalibration and maintenance are also required to preserve clinical accuracy, and that adds friction for the AI-powered gait and mobility analytics market in smaller sites. Wearable alternatives are improving, but many buyers still view them as not fully equivalent to lab systems for advanced joint kinematics and diagnostic use.

Other drivers and restraints analyzed in the detailed report include:

1. Growth in Fall-Risk Screening Across Aging Care Pathways
2. Clinical Preference for Explainable Mobility Scoring and Audit Trails
3. Limited Diverse Annotated Gait Datasets for Model Training

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software held 49.37% of revenue in 2025, which kept it as the largest component in the AI-powered gait and mobility analytics market. That position reflects where value is created, since clinical usefulness depends more on data processing, scoring, and reporting than on raw signal capture alone. Subscription-based software models also support recurring revenue and tighter customer retention than hardware-only sales. The AI-powered gait and mobility analytics industry is therefore monetizing clinical interpretation layers more effectively than device sales alone.

Hardware is expected to be the fastest-growing component at a 12.94% CAGR through 2031, and that rise shows where fresh capital is moving inside the AI-powered gait and mobility analytics market. Demand is being lifted by smaller sensors, lower setup burden, and the spread of community-based monitoring workflows that need wearable capture. Services continue to fill the middle ground because deployment, calibration, and staff training remain necessary in many installations, even when software remains the main revenue anchor.

Cloud deployment accounted for 51.27% of revenue in 2025, which gave it the lead across the AI-powered gait and mobility analytics market. Its advantage comes from easier scaling, lower local IT burden, and better fit with software-as-a-service operating models. Cloud systems also support longitudinal patient tracking across repeated sessions, which matters when clinicians need easy access to data from both clinical and home-based use.

Hybrid deployment is anticipated to be the fastest-growing model at a 13.12% CAGR through 2031, and that reflects operational limits that pure cloud delivery cannot always solve in the AI-powered gait and mobility analytics market. Real-time biofeedback, low-latency processing, and country-specific data residency rules all support a mix of local edge processing with selective cloud aggregation. On-premises setups still hold a place in high-security academic medical centers and specialized programs, but their overall role is narrowing as hosted platforms improve their governance standards.

Complete Report Scope:

• By Component
  • Software
  • Hardware
  • Services
• By Deployment Mode
  • Cloud-Based
  • On-Premises
  • Hybrid
• By Technology
  • Computer Vision-Based Analytics
  • Wearable Sensor Analytics
  • Machine Learning-Based Predictive Analytics
  • Deep Learning
  • Other Technologies
• By Mobility Assessment Type
  • Gait Analysis
  • Balance Assessment
  • Fall Risk Assessment
  • Posture Analysis
  • Joint Movement Analysis
  • Functional Mobility Assessment
  • Other Mobility Assessment Types
• By Application
  • Neurological Disorders
  • Orthopedic Rehabilitation
  • Geriatric Care
  • Sports Medicine & Performance
  • Parkinson's Disease Management
  • Other Applications
• By End-User
  • Hospitals
  • Rehabilitation Centers
  • Long-Term Care Facilities
  • Sports Performance Centers
  • Other End-Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • GCC
    • South Africa
    • Rest of Middle East and Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

North America held 43.42% share in 2025, which kept it as the largest regional block in the AI-powered gait and mobility analytics market. The region benefits from well-funded hospital infrastructure, established remote therapeutic monitoring pathways, and stronger readiness for digital clinical workflows. The FDA's January 2026 clinical decision support guidance also reduced some regulatory uncertainty for explainable AI software that clinicians can independently review and that supports faster commercialization cycles. Canada and Mexico remain smaller within the regional total, but they add to the broader North American demand base through public and private care channels.

Europe remains an important part of the AI-powered gait and mobility analytics market because public health systems are under steady pressure from aging populations and rising rehabilitation needs. Reimbursement structures are more national in character than in North America, which changes how vendors approach contracting and rollout. The United Kingdom, Germany, France, Italy, and Spain remain the main revenue contributors, though they are moving at different speeds in formalizing quantitative mobility assessment in rehabilitation pathways. Europe's opportunity is therefore tied less to single-facility purchasing and more to system-level adoption once evidence, workflow fit, and procurement standards align.

Asia-Pacific is projected to expand at 16.13% CAGR through 2031, which makes it the fastest-growing region in the AI-powered gait and mobility analytics market. Japan's aging population supports strong demand for fall-risk and longitudinal mobility tracking, while South Korea and China add momentum through broader digital health investment and local innovation activity. India also matters because the country's fall burden is high, which strengthens the case for scalable screening and rehabilitation tools over time. The region's growth is not coming from a single pattern, since mature health systems, rapidly scaling outpatient networks, and cost-sensitive buyers are all part of the story. South America, the Middle East, and Africa remain smaller and earlier-stage, with adoption concentrated in private hospital systems and premium care networks.

1. Bertec Corporation
2. BioSensics LLC
3. BTS Bioengineering Corp.
4. Delsys Inc.
5. Gait Up SA
6. Hocoma
7. Kistler Group
8. Moticon GmbH
9. Motion Analysis Corporation
10. NaturalPoint Inc.
11. Noraxon Inc.
12. ProtoKinetics LLC
13. Qualisys AB
14. ReWalk Robotics
15. Sensoria Health Inc.
16. Simi Reality Motion Systems GmbH
17. Tekscan Inc.
18. Vicon Motion Systems Ltd
19. Xsens Technologies B.V.
20. Zebris Medical GmbH

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 Introduction

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 Research Methodology

3 Executive Summary

4 Market Landscape

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Adoption of AI-Assisted Biomechanical Diagnostics
  • 4.2.2 Expansion of Remote Rehabilitation and Home Monitoring Workflows
  • 4.2.3 Increasing Demand for Wearable IMU and Insole-Based Gait Assessment
  • 4.2.4 Growth in Fall-Risk Screening Across Aging Care Pathways
  • 4.2.5 Need for Longitudinal Mobility Tracking in Post-Acute Care
  • 4.2.6 Clinical Preference for Explainable Mobility Scoring and Audit Trails
• 4.3 Market Restraints
  • 4.3.1 High Hardware Capex and Calibration Burden
  • 4.3.2 Stringent Clinical Validation and Data Privacy Requirements
  • 4.3.3 Interoperability Gaps with EHR and Rehab Software
  • 4.3.4 Limited Diverse Annotated Gait Datasets for Model Training
• 4.4 Supply/Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value, USD)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Hardware
  • 5.1.3 Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud-Based
  • 5.2.2 On-Premises
  • 5.2.3 Hybrid
• 5.3 By Technology
  • 5.3.1 Computer Vision-Based Analytics
  • 5.3.2 Wearable Sensor Analytics
  • 5.3.3 Machine Learning-Based Predictive Analytics
  • 5.3.4 Deep Learning
  • 5.3.5 Other Technologies
• 5.4 By Mobility Assessment Type
  • 5.4.1 Gait Analysis
  • 5.4.2 Balance Assessment
  • 5.4.3 Fall Risk Assessment
  • 5.4.4 Posture Analysis
  • 5.4.5 Joint Movement Analysis
  • 5.4.6 Functional Mobility Assessment
  • 5.4.7 Other Mobility Assessment Types
• 5.5 By Application
  • 5.5.1 Neurological Disorders
  • 5.5.2 Orthopedic Rehabilitation
  • 5.5.3 Geriatric Care
  • 5.5.4 Sports Medicine & Performance
  • 5.5.5 Parkinson's Disease Management
  • 5.5.6 Other Applications
• 5.6 By End-User
  • 5.6.1 Hospitals
  • 5.6.2 Rehabilitation Centers
  • 5.6.3 Long-Term Care Facilities
  • 5.6.4 Sports Performance Centers
  • 5.6.5 Other End-Users
• 5.7 By Geography
  • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
  • 5.7.2 Europe
    • 5.7.2.1 Germany
    • 5.7.2.2 United Kingdom
    • 5.7.2.3 France
    • 5.7.2.4 Italy
    • 5.7.2.5 Spain
    • 5.7.2.6 Rest of Europe
  • 5.7.3 Asia-Pacific
    • 5.7.3.1 China
    • 5.7.3.2 Japan
    • 5.7.3.3 India
    • 5.7.3.4 Australia
    • 5.7.3.5 South Korea
    • 5.7.3.6 Rest of Asia-Pacific
  • 5.7.4 Middle East and Africa
    • 5.7.4.1 GCC
    • 5.7.4.2 South Africa
    • 5.7.4.3 Rest of Middle East and Africa
  • 5.7.5 South America
    • 5.7.5.1 Brazil
    • 5.7.5.2 Argentina
    • 5.7.5.3 Rest of South America

6 Competitive Landscape

• 6.1 Market Concentration
• 6.2 Market Share Analysis
• 6.3 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products & Services, Recent Developments)
  • 6.3.1 Bertec Corporation
  • 6.3.2 BioSensics LLC
  • 6.3.3 BTS Bioengineering Corp.
  • 6.3.4 Delsys Inc.
  • 6.3.5 Gait Up SA
  • 6.3.6 Hocoma AG
  • 6.3.7 Kistler Group
  • 6.3.8 Moticon GmbH
  • 6.3.9 Motion Analysis Corporation
  • 6.3.10 NaturalPoint Inc.
  • 6.3.11 Noraxon Inc.
  • 6.3.12 ProtoKinetics LLC
  • 6.3.13 Qualisys AB
  • 6.3.14 ReWalk Robotics Ltd.
  • 6.3.15 Sensoria Health Inc.
  • 6.3.16 Simi Reality Motion Systems GmbH
  • 6.3.17 Tekscan Inc.
  • 6.3.18 Vicon Motion Systems Ltd
  • 6.3.19 Xsens Technologies B.V.
  • 6.3.20 Zebris Medical GmbH

7 Market Opportunities & Future Outlook

• 7.1 White-space & Unmet-need Assessment