
Healthcare Companion Robots Market
Healthcare Companion Robots Market Forecasts to 2030 - Global Analysis By Type (Social Robots, Assistive Robots, Surgical Robots, Rehabilitation Robots and Other Types), Functionality, Deployment Model, Technology, Application, End User and By Geography

According to Stratistics MRC, the Global Healthcare Companion Robots Market is accounted for $2.0 billion in 2024 and is expected to reach $5.8 billion by 2030 growing at a CAGR of 18.6% during the forecast period. Healthcare companion robots are advanced technological devices designed to assist patients in managing their health and daily activities. These robots provide support by offering companionship, monitoring vital signs, and reminding individuals to take medication or attend appointments. They are often equipped with artificial intelligence (AI) to recognize and respond to emotional or physical needs. Healthcare companion robots are used to improve the quality of life for elderly individuals, people with disabilities, or those recovering from illness by promoting independence and well-being.
According to the WHO report, by the year 2030, one out of every six individuals globally will be 60 years old or older. At that point, the number of people aged 60 and over will rise from 1 billion in 2020 to 1.4 billion. By 2050, the global population of those aged 60 and older will have doubled to 2.1 billion.
Market Dynamics:
Driver:
Increased chronic illnesses
The rise in chronic illnesses is significantly impacting the market. As the global population ages and the prevalence of conditions such as diabetes, cardiovascular diseases, and neurological disorders increases, the demand for robots to assist in monitoring, managing, and improving patients' quality of life has surged. Healthcare companion robots are increasingly being developed to provide personalized care, medication reminders, and health monitoring, addressing the growing need for remote patient management.
Restraint:
Privacy and security concerns
Privacy and security concerns in the healthcare companion robots market can lead to a lack of trust among users. As these robots collect sensitive personal health data, the risk of cyberattacks and data breaches increases. Unauthorized access to confidential information could jeopardize patient privacy and safety, leading to potential misuse of data. This raises ethical and legal issues, ultimately hindering widespread adoption and development of these technologies in healthcare.
Opportunity:
Improved independence for patients
Healthcare companion robots are enhancing patient independence by providing support for daily activities and health management. These robots assist with medication reminders, mobility, and monitoring vital signs, enabling patients, particularly the elderly and those with chronic conditions, to live more autonomously. By reducing the need for constant caregiver assistance, these robots foster a sense of self-sufficiency, improving patients' quality of life and contributing to better mental and physical well-being.
Threat:
High initial costs
The high initial costs of healthcare companion robots hinder their widespread adoption, particularly in low-income or resource-limited settings. These robots require significant investment in development, production, and maintenance, making them unaffordable for many patients and healthcare providers. This cost barrier restricts access to essential care, limiting the technology's potential to improve patient outcomes. Consequently, only wealthier individuals or large institutions can typically afford these advanced healthcare solutions.
Covid-19 Impact:
The COVID-19 pandemic significantly accelerated the demand for healthcare companion robots. With increased concerns about patient safety, social distancing, and the need for remote care, robots became essential for monitoring health, assisting with daily tasks, and reducing the risk of virus transmission. This shift in healthcare priorities led to heightened investment in robotics, expanding their role in patient care, particularly for elderly and high-risk individuals, thereby driving growth in the market.
The social robots segment is expected to be the largest during the forecast period
The social robots segment is anticipated to account for the largest market share during the projection period. Designed to interact with patients through conversation and non-verbal cues, these robots help reduce feelings of loneliness and anxiety, particularly among the elderly or those with chronic conditions. By fostering social interaction, social robots enhance mental health, provide cognitive stimulation, and assist in overall emotional care, improving patients' quality of life.
The fall detection segment is expected to have the highest CAGR during the forecast period
The fall detection segment is expected to have the highest CAGR during the extrapolated period. These robots use sensors and advanced algorithms to detect falls in real-time, alerting caregivers or emergency services promptly. This functionality helps prevent serious injuries and provides peace of mind to both patients and their families. As the aging population grows, fall detection technology is increasingly essential in promoting safety and independent living for elderly individuals.
Region with largest share:
North America region is anticipated to account for the largest market share during the forecast period driven by an aging population, rising healthcare demands. With a strong focus on improving patient care and reducing healthcare costs, the countries, particularly the U.S., are leading in robot development and adoption. These robots assist in remote monitoring, daily care, and emotional support, enhancing patient outcomes and independence while addressing the region's healthcare workforce shortages.
Region with highest CAGR:
Asia Pacific is expected to register the highest growth rate over the forecast period. A rise in chronic diseases and disabilities due to accidents or aging drives the need for healthcare robots that can help with daily care and assist with rehabilitation. Furthermore, in countries with large populations like India and China, the pressure on healthcare systems is immense. Companion robots are being integrated into these systems to provide cost-effective and scalable solutions for patient monitoring, communication, and care assistance.
Key players in the market
Some of the key players in Healthcare Companion Robots market include Intuition Robotics, Adept Robotics, Blue Frog Robotics, Furhat Robotics, Robocare, SoftBank Robotics, Toyota Engineering Society, Savioke, Honda, Omron Corporation, Ubtech Robotics, Robot Care Systems, RoboKind, Syndiant and Giraff Technologies.
Key Developments:
In March 2024, Franka Robotics, a company developing robotics technologies featuring human-like tactile abilities, launched the Franka AI Companion. This innovative tool, with its advanced hardware and software capabilities, is created to support robotics researchers and represents a breakthrough in research productivity and creative potential in robotics.
In January 2024, Intuition Robotics, a leader in AI technology for seniors, announced significant updates and improvements to its AI companion, ElliQ. This latest version, ElliQ 3, marks a substantial advancement in incorporating generative AI into daily living, transforming the dynamics of human-AI interactions.
Types Covered:
• Social Robots
• Assistive Robots
• Surgical Robots
• Rehabilitation Robots
• Other Types
Functionality Covered:
• Health Monitoring
• Cognitive Training
• Fall Detection
• Social Interaction
Deployment Models Covered:
• Remote Monitoring
• Hospital-Based
• Clinic-Based
• Home-Based
Technologies Covered:
• Artificial Intelligence (AI) Integration
• Machine Learning
• Voice & Gesture Recognition
• Sensors and Wearables
• Other Technologies
Applications Covered:
• Elderly Care
• Chronic Disease Management
• Physical Therapy & Rehabilitation
• Surgical Assistance
• Mental Health Support
• Other Applications
End Users Covered:
• Hospitals
• Nursing Homes
• Home healthcare
• Personal Use
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Healthcare Companion Robots Market, By Type
5.1 Introduction
5.2 Social Robots
5.3 Assistive Robots
5.4 Surgical Robots
5.5 Rehabilitation Robots
5.6 Other Types
6 Global Healthcare Companion Robots Market, By Functionality
6.1 Introduction
6.2 Health Monitoring
6.3 Cognitive Training
6.4 Fall Detection
6.5 Social Interaction
7 Global Healthcare Companion Robots Market, By Deployment Model
7.1 Introduction
7.2 Remote Monitoring
7.3 Hospital-Based
7.4 Clinic-Based
7.5 Home-Based
8 Global Healthcare Companion Robots Market, By Technology
8.1 Introduction
8.2 Artificial Intelligence (AI) Integration
8.3 Machine Learning
8.4 Voice & Gesture Recognition
8.5 Sensors and Wearables
8.6 Other Technologies
9 Global Healthcare Companion Robots Market, By Application
9.1 Introduction
9.2 Elderly Care
9.3 Chronic Disease Management
9.4 Physical Therapy & Rehabilitation
9.5 Surgical Assistance
9.6 Mental Health Support
9.7 Other Applications
10 Global Healthcare Companion Robots Market, By End User
10.1 Introduction
10.2 Hospitals
10.3 Nursing Homes
10.4 Home healthcare
10.5 Personal Use
10.6 Other End Users
11 Global Healthcare Companion Robots Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Intuition Robotics
13.2 Adept Robotics
13.3 Blue Frog Robotics
13.4 Furhat Robotics
13.5 Robocare
13.6 SoftBank Robotics
13.7 Toyota Engineering Society
13.8 Savioke
13.9 Honda
13.10 Omron Corporation
13.11 Ubtech Robotics
13.12 Robot Care Systems
13.13 RoboKind
13.14 Syndiant
13.15 Giraff Technologies
List of Tables
1 Global Healthcare Companion Robots Market Outlook, By Region (2022-2030) ($MN)
2 Global Healthcare Companion Robots Market Outlook, By Type (2022-2030) ($MN)
3 Global Healthcare Companion Robots Market Outlook, By Social Robots (2022-2030) ($MN)
4 Global Healthcare Companion Robots Market Outlook, By Assistive Robots (2022-2030) ($MN)
5 Global Healthcare Companion Robots Market Outlook, By Surgical Robots (2022-2030) ($MN)
6 Global Healthcare Companion Robots Market Outlook, By Rehabilitation Robots (2022-2030) ($MN)
7 Global Healthcare Companion Robots Market Outlook, By Other Types (2022-2030) ($MN)
8 Global Healthcare Companion Robots Market Outlook, By Functionality (2022-2030) ($MN)
9 Global Healthcare Companion Robots Market Outlook, By Health Monitoring (2022-2030) ($MN)
10 Global Healthcare Companion Robots Market Outlook, By Cognitive Training (2022-2030) ($MN)
11 Global Healthcare Companion Robots Market Outlook, By Fall Detection (2022-2030) ($MN)
12 Global Healthcare Companion Robots Market Outlook, By Social Interaction (2022-2030) ($MN)
13 Global Healthcare Companion Robots Market Outlook, By Deployment Model (2022-2030) ($MN)
14 Global Healthcare Companion Robots Market Outlook, By Remote Monitoring (2022-2030) ($MN)
15 Global Healthcare Companion Robots Market Outlook, By Hospital-Based (2022-2030) ($MN)
16 Global Healthcare Companion Robots Market Outlook, By Clinic-Based (2022-2030) ($MN)
17 Global Healthcare Companion Robots Market Outlook, By Home-Based (2022-2030) ($MN)
18 Global Healthcare Companion Robots Market Outlook, By Technology (2022-2030) ($MN)
19 Global Healthcare Companion Robots Market Outlook, By Artificial Intelligence (AI) Integration (2022-2030) ($MN)
20 Global Healthcare Companion Robots Market Outlook, By Machine Learning (2022-2030) ($MN)
21 Global Healthcare Companion Robots Market Outlook, By Voice & Gesture Recognition (2022-2030) ($MN)
22 Global Healthcare Companion Robots Market Outlook, By Sensors and Wearables (2022-2030) ($MN)
23 Global Healthcare Companion Robots Market Outlook, By Other Technologies (2022-2030) ($MN)
24 Global Healthcare Companion Robots Market Outlook, By Application (2022-2030) ($MN)
25 Global Healthcare Companion Robots Market Outlook, By Elderly Care (2022-2030) ($MN)
26 Global Healthcare Companion Robots Market Outlook, By Chronic Disease Management (2022-2030) ($MN)
27 Global Healthcare Companion Robots Market Outlook, By Physical Therapy & Rehabilitation (2022-2030) ($MN)
28 Global Healthcare Companion Robots Market Outlook, By Surgical Assistance (2022-2030) ($MN)
29 Global Healthcare Companion Robots Market Outlook, By Mental Health Support (2022-2030) ($MN)
30 Global Healthcare Companion Robots Market Outlook, By Other Applications (2022-2030) ($MN)
31 Global Healthcare Companion Robots Market Outlook, By End User (2022-2030) ($MN)
32 Global Healthcare Companion Robots Market Outlook, By Hospitals (2022-2030) ($MN)
33 Global Healthcare Companion Robots Market Outlook, By Nursing Homes (2022-2030) ($MN)
34 Global Healthcare Companion Robots Market Outlook, By Home healthcare (2022-2030) ($MN)
35 Global Healthcare Companion Robots Market Outlook, By Personal Use (2022-2030) ($MN)
36 Global Healthcare Companion Robots Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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