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AI in Rehabilitation and Assistive Technologies Market

AI in Rehabilitation and Assistive Technologies Market Size, Share & Trends Analysis Report, By Type (Physical Rehabilitation, Cognitive Rehabilitation, Sensory Rehabilitation, Mobility Assistance, Communication Assistance) By Application; By Technology; By End-User, By Region, Forecasts, 2024-2031

Report ID : 2690 | Published : 2024-08-17 | Pages: 165 | Format: PDF/EXCEL

The AI in Rehabilitation and Assistive Technologies Market Size was valued at USD 2.09 Bn in 2023 and is predicted to reach USD 5.61 Bn by 2031 at a 13.4% CAGR during the forecast period for 2024-2031.

ai in rehabilitation

AI in rehabilitation and assistive technologies has emerged as a game-changer in the healthcare sector, and its transformative potential in rehabilitation and assistive technologies is becoming increasingly evident. Machine learning algorithms, natural language processing, computer vision, and robotics are among the Al technologies powering innovations that cater to personalized patient care, real-time monitoring, and data-driven decision-making. Rehabilitation and assistive technologies encompass various devices and interventions to support individuals with disabilities or impairments to enhance their functional abilities and overall well-being. These technologies play a crucial role in restoring independence and autonomy, providing access to opportunities that may otherwise be limited.

However, the global market is expected to increase during the forecast period due to the surge in adoption of rehabilitation and assistive robotics during the COVID-19 pandemic. The assistive and rehabilitation robotics market offers significant opportunities for manufacturers of robotic rehabilitation and assistive technology. Government initiatives aimed at promoting healthcare accessibility and technological innovation have infused significant momentum into the market. Funding support for research and development projects, coupled with favorable reimbursement policies for assistive devices, has propelled market growth and fostered collaboration within the industry. Embracing a patient-centric approach, these technologies enable personalized treatment plans, real-time monitoring, and remote rehabilitation services, empowering patients to actively engage in their recovery journey and attain optimal outcomes.

Competitive Landscape

Some of the Major Key Players in the AI in Rehabilitation and Assistive Technologies Market are

  • IBM Corporation
  • Microsoft Corporation
  • Intel Corporation
  • Google LLC
  • Apple Inc.
  • Amazon Web Services (AWS)
  • Bionik Laboratories Corp.
  • Hocoma AG
  • Ekso Bionics Holdings, Inc.
  • SWORD Health
  • ReWalk Robotics Ltd.
  • Motus Nova
  • GaitTronics
  • Neofect
  • Myomo Inc.
  • Onward Robotics
  • InMotion Robotics
  • Fourier Intelligence Co., Ltd.
  • Cyberdyne Inc.
  • Assistive Innovations Corp.
  • RightHear
  • AiServe Technologies
  • Kinova Robotics
  • Gogoa Mobility Robots
  • NovuMind Inc.
  • Others

Market Segmentation:

The AI in the rehabilitation and assistive technologies market is segmented by type, application, technology, and end user. Based on type, the market is segmented into physical rehabilitation, cognitive rehabilitation, sensory rehabilitation, mobility assistance, and communication assistance. The market is segmented by application into stroke rehabilitation, spinal cord injury rehabilitation, traumatic brain injury rehabilitation, musculoskeletal disorder rehabilitation, cognitive impairment assistance, visual impairment assistance, and hearing impairment assistance. The technology segments the market into machine learning algorithms, natural language processing (NLP), computer vision, robotics and exoskeletons, virtual reality (VR), and augmented reality. The market is segmented by end-user into hospitals and clinics, rehabilitation centers, home care settings, research institutions, and universities.

Based on Type, the Physical Rehabilitation Segment Accounts for a Major Contributor to AI in the Rehabilitation and Assistive Technologies Market.

The AI in the rehabilitation and assistive technologies market is witnessing significant growth, particularly in the physical rehabilitation segment. AI-driven solutions are transforming traditional rehabilitation by enhancing the precision and personalization of treatments. These technologies employ machine learning algorithms and data analytics to develop tailored rehabilitation programs, monitor patient progress in real time, and adjust therapies accordingly. Robotic exoskeletons, AI-powered physiotherapy tools, and virtual reality systems are among the notable innovations that have improved patient outcomes and accelerated recovery times. The integration of AI in physical rehabilitation not only enhances efficiency but also ensures better patient engagement and adherence to rehabilitation protocols, driving the market's growth.

Machine Learning Algorithms Segment Witness Growth at a Rapid Rate

The AI in rehabilitation and assistive technologies market is witnessing significant growth, particularly driven by advancements in machine learning (ML) algorithms. These algorithms enhance the functionality of assistive devices and rehabilitation tools by enabling personalized, adaptive, and intelligent support for users. ML algorithms process large datasets from sensors and user interactions to create tailored rehabilitation programs, improve the accuracy of assistive devices like prosthetics and exoskeletons, and facilitate predictive maintenance. They also play a crucial role in speech recognition and natural language processing for communication aids, as well as in vision-based systems for the visually impaired. The continuous improvement in ML models, fueled by increased computational power and access to extensive training data, is leading to more efficient and effective assistive technologies.

In the Region, the North American AI in Rehabilitation and Assistive Technologies Market Holds a Significant Revenue Share.

The North American robotic rehabilitation and assistive technologies market, amongst the markets in all the other regions, is projected to hold the largest market share. The market's growth can be attributed majorly to the rising chronic disease prevalence coupled with the escalating geriatric population, and a strong healthcare industry is expected to drive the market's growth in North America during the forecast period. For instance, the U.S. has more than 54 million adults aged 65 and older, or roughly 16.5% of the population in 2022, according to the U.S. Census Bureau. Apart from that, the region's higher prevalence of cardiovascular diseases (CVDs), backed by the growth in robotic rehabilitation and assistive technologies owing to the ongoing development of robotics in North America, is projected to enlarge the market's size during the forecast period. As of 2019, nearly 40% of the population in the U.S.A. was diagnosed with cardiovascular diseases, and approximately 6 million people lost their lives owing to stroke in a similar year. Therefore, all these factors are expected to drive market growth in the region during the forecast period.

Recent Developments:

  • In November 2021, Inrobics Social Robotics, S.L.L., a spin-off from the Universidad Carlos III de Madrid (UC3M), unveiled a groundbreaking robotic device designed to offer a novel motor and cognitive rehabilitation service. This innovative technology, developed through research conducted by the university's Department of Computer Science and Engineering, presents a versatile solution that can be seamlessly integrated into healthcare settings as well as utilized within the comfort of patients' homes. Leveraging cutting-edge research outcomes, Inrobics aims to revolutionize the field of rehabilitation by providing tailored therapeutic interventions to individuals seeking to regain motor function and cognitive abilities.
  • In January 2021, Harmonic Bionics forged a strategic partnership with H Robotics to introduce smart tele-rehabilitation solutions to patients in the United States grappling with neurological and musculoskeletal movement impairments. This collaboration represents a concerted effort to harness technological advancements in robotics and telemedicine to address the diverse rehabilitation needs of patients across the nation. By combining Harmonic Bionics' expertise in rehabilitation robotics with H Robotics' proficiency in smart telepresence solutions, the partnership seeks to deliver innovative and accessible rehabilitation services to individuals navigating movement impairments, enhancing their quality of life, and promoting functional independence.

AI in Rehabilitation and Assistive Technologies Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 2.09 Bn

Revenue Forecast In 2031

USD 5.61 Bn

Growth Rate CAGR

CAGR of 13.4% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, By Application, By technology, By End-user and By Region

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC, Apple Inc., Amazon Web Services (AWS), Bionik Laboratories Corp., Hocoma AG, Ekso Bionics Holdings, Inc., SWORD Health, ReWalk Robotics Ltd., Motus Nova, GaitTronics, Neofect, Myomo Inc., Onward Robotics, InMotion Robotics, Fourier Intelligence Co., Ltd., Cyberdyne Inc., Assistive Innovations Corp., RightHear, AiServe Technologies, Kinova Robotics, Gogoa Mobility Robots, NovuMind Inc., and others.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Rehabilitation and Assistive Technologies Market Snapshot

Chapter 4. Global AI in Rehabilitation and Assistive Technologies Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Physical Rehabilitation
5.2.2. Cognitive Rehabilitation
5.2.3. Sensory Rehabilitation
5.2.4. Mobility Assistance
5.2.5. Communication Assistance

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Stroke Rehabilitation
6.2.2. Spinal Cord Injury Rehabilitation
6.2.3. Traumatic Brain Injury Rehabilitation
6.2.4. Musculoskeletal Disorder Rehabilitation
6.2.5. Cognitive Impairment Assistance
6.2.6. Visual Impairment Assistance
6.2.7. Hearing Impairment Assistance

Chapter 7. Market Segmentation 3: by Technology Estimates & Trend Analysis
7.1. by Technology & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Technology:

7.2.1. Machine Learning Algorithms
7.2.2. Natural Language Processing (NLP)
7.2.3. Computer Vision
7.2.4. Robotics and Exoskeletons
7.2.5. Virtual Reality (VR) and Augmented Reality (AR)

Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis
8.1. by End-User & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-User:

8.2.1. Hospitals and Clinics
8.2.2. Rehabilitation Centers
8.2.3. Home Care Settings
8.2.4. Research Institutions and Universities

Chapter 9. AI in Rehabilitation and Assistive Technologies Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America
9.1.1. North America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.1.2. North America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.1.3. North America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.1.4. North America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.1.5. North America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe
9.2.1. Europe AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.2.2. Europe AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.3. Europe AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.2.4. Europe AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.2.5. Europe AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific
9.3.1. Asia Pacific AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.3.2. Asia Pacific AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.3. Asia-Pacific AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.3.4. Asia-Pacific AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.3.5. Asia Pacific AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America
9.4.1. Latin America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.4.2. Latin America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.4.3. Latin America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.4.4. Latin America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.4.5. Latin America AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa
9.5.1. Middle East & Africa AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.5.2. Middle East & Africa AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.3. Middle East & Africa AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
9.5.4. Middle East & Africa AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.5.5. Middle East & Africa AI in Rehabilitation and Assistive Technologies Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. IBM Corporation
10.2.2. Microsoft Corporation
10.2.3. Intel Corporation
10.2.4. Google LLC
10.2.5. Apple Inc.
10.2.6. Amazon Web Services (AWS)
10.2.7. Bionik Laboratories Corp.
10.2.8. Hocoma AG
10.2.9. Ekso Bionics Holdings, Inc.
10.2.10. SWORD Health
10.2.11. ReWalk Robotics Ltd.
10.2.12. Motus Nova
10.2.13. GaitTronics
10.2.14. Neofect
10.2.15. Myomo Inc.
10.2.16. Onward Robotics
10.2.17. InMotion Robotics
10.2.18. Fourier Intelligence Co., Ltd.
10.2.19. Cyberdyne Inc.
10.2.20. Assistive Innovations Corp.
10.2.21. RightHear
10.2.22. AiServe Technologies
10.2.23. Kinova Robotics
10.2.24. Gogoa Mobility Robots
10.2.25. NovuMind Inc.
10.2.26. Other Prominent Players

Segmentation of AI in Rehabilitation and Assistive Technologies Market

AI in Rehabilitation and Assistive Technologies Market- By Type

  • Physical Rehabilitation
  • Cognitive Rehabilitation
  • Sensory Rehabilitation
  • Mobility Assistance
  • Communication Assistance

ai in rehabilitation

AI in Rehabilitation and Assistive Technologies Market- By Application

  • Stroke Rehabilitation
  • Spinal Cord Injury Rehabilitation
  • Traumatic Brain Injury Rehabilitation
  • Musculoskeletal Disorder Rehabilitation
  • Cognitive Impairment Assistance
  • Visual Impairment Assistance
  • Hearing Impairment Assistance

AI in Rehabilitation and Assistive Technologies Market- By Technology

  • Machine Learning Algorithms
  • Natural Language Processing (NLP)
  • Computer Vision
  • Robotics and Exoskeletons
  • Virtual Reality (VR) and Augmented

AI in Rehabilitation and Assistive Technologies Market- By End-User

  • Hospitals and Clinics
  • Rehabilitation Centers
  • Home Care Settings
  • Research Institutions and Universities

AI in Rehabilitation and Assistive Technologies Market- By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

 

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Frequently Asked Questions

How big is the AI in Rehabilitation and Assistive Technologies Market Size?

The AI in Rehabilitation and Assistive Technologies Market is expected to grow at a 13.4% CAGR during the forecast period for 2024-2031.

IBM Corporation, Microsoft Corporation, Intel Corporation, Google LLC, Apple Inc., Amazon Web Services (AWS), Bionik Laboratories Corp., Hocoma AG, Ek

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