Mental Health Robotics Market Size, Share, Opportunities, And Trends By Robot Type (Social Companion Robots, Therapeutic Robots, Telepresence Robots, Wearable Robotic Assistants), By Application (Therapy and Counselling, Stress Management, Cognitive Training, Companionship for Isolated Individuals), By End-User (Individual Consumer Users, Healthcare Facilities, Mental Health Clinics, Telehealth Providers), And By Geography – Forecasts From 2025 To 2030

Description

Mental Health Robotics Market Size:

The mental health robotics market is predicted to witness steady growth during the projected period.

Mental Health Robotics Market Trends:

The market for mental health robotics appears to be taking shape at the intersection of healthcare, artificial intelligence, and emotional health. With increasing mental health issues globally, and people not being readily available for deployable therapy robots, they are being investigated as a scalable technology-driven support tool that individuals can use to develop autonomy. Robots are being developed as an assistive, rather than replacement, to therapist augmentation; to offer monitoring, engagement, and be available for early intervention, particularly in underserved areas or high-burden locations. In the range of companion robots powered by artificial intelligence to therapeutic support bots, the field appears poised to expand rapidly with increased clinical research, pilot programs, and public policy. The focus has shifted from novelty, and it is being employed as a deployable technology and invoked to be used in homes, clinics, and community-based supports.

Mental Health Robotics Market Overview & Scope:

The mental health robotics market is segmented by:

• Robot Type: The market is segmented into social companion robots, therapeutic robots, telepresence robots, and wearable robotic assistants. Social companion robots (SCR) like Pepper have been studied in the areas of long-term engagement and emotional engagement. One study in the UK showed that over five weeks of ownership of an SCR, participants experienced several emotional states of comfort, improved mood, and shared progressively more personal information when engaging with the SCR. Participants indicated, at least partially, that they engaged with the SCR to form a trusting relationship and to reduce isolation and loneliness. SCRs have the potential to be an autonomous technology that provides prolonged short to medium-term emotional support in a mental health environment.
• Application: The market is segmented into therapy and counselling, stress management, cognitive training, and companionship for isolated individuals.
• End User: The market is segmented into individual consumer users, healthcare facilities, mental health clinics, and telehealth providers. Telepresence robots have been implemented in long-term care environments to conduct dementia research interviews in British Columbia. Researchers used robots to interact directly with long-term care residents, providing more natural forms of interaction in real-world environments, protecting the residents’ privacy, and encouraging engagement around the pandemic's restrictions. In turn, the study demonstrated how facilities could implement robots to address social and cognitive care deficits.
• Region: Geographically, the market is expanding at varying rates depending on the location.

Top Trends Shaping the Mental Health Robotics Market

1. AI-Driven Emotional Intelligence
   • Robots are very well designed to use facial recognition, voice intonation, and behavioural indicators in ways that allow them to respond in an empathetic way, making rapport-building in therapy much easier, especially in dementia and autism care. Technologies like Pepper and Moxie can adjust interaction depending on the identification of a mood in real-time.
2. Telehealth Integration and Hybrid Care
   • Mental health robots are evolving into telepresence robots, linking up with tele-health platforms and EMRs. They allow for remote sessions in therapy that have both emotional monitoring and guided practice, especially in remote and under-resourced environments.

Mental Health Robotics Market Growth Drivers vs. Challenges

Drivers:

• Unmet demand for scalable and remote mental health support: High global shortages in mental healthcare providers, lengthy wait times, and stigma associated with accessing mental health support in-person; these challenges may drive the use of robots in mental health. AI-based chatbots and therapy robots for mental health counselling can provide flexible, anonymous, accessible, and non-judgmental mental health support that is available anytime to users. Hybrid delivery models that employ robots to conduct interactions, followed up with clinician-delivered care in the clinic, school, or occupational setting, can be used to continue care with patients in the everyday environment or assist those without prior care. AI-based mental health applications can deliver care to many users, are less expensive to implement than hiring a staff member, and alleviate some of the administrative burden from clinicians. The initial feedback on robot or AI delivery models indicates that users were more likely to open up to robots or chatbots in a safe, low-stakes environment before transferring care over clinical or human discussions, laying the groundwork for more widespread use of robots and AI in mental health contexts.
• Advances in sensor fusion and adaptive robotics for personalized therapy: Improvements in sensor fusion, adaptive robotics and specificity in therapy delivery In nearly every industry, have come a long way in the ability for robots to tailor interventions for end-user participation as it relates to stress levels, emotional shifts, or adaptive responses to user actions, experiences, feedback, etc. Now, some robots offer tactile, adaptive, and interactive elements for learning, stress relief, or emotional engagement. These capabilities are key to cognitive training and relieving stress. As hardware revenues decline for robots, the use of modular approaches for robots and investments in cloud systems will support low-cost but worthy therapy platforms in clinics, schools, or at home.

Challenges:

• Trust, privacy, and clinician acceptance: Trust, privacy, and acceptance from clinicians. Patients and providers still have great scepticism over robots. There are also ethical challenges related to data privacy, the idea of emotional deception during therapy, and the potential for job replacement, restricting more use of humanoid robots. Initial work needs to be done to educate people.

Mental Health Robotics Market Regional Analysis:

• North America: In North America, health care institutions and elder care programs are increasingly embracing the use of telepresence and companion robots. More than 40% of the worldwide use of mobile telepresence robots in 2023 was in North America, where the capacity of advanced health care infrastructure and interest in telehealth from the pandemic have set the stage. Major cities, like New York, pioneered providing broader public distribution of Elliott companion robots to address veterans’ loneliness, and state agencies distributed units to hundreds of isolated senior adults. These forms of technology are becoming part of the value-added services of caregivers in clinics, nursing homes, and private residences, especially through telepresence-enabled methods for therapy or monitoring remotely.

Mental Health Robotics Market Segmentation:

By Robot Type

• Social Companion Robots
• Therapeutic Robots
• Telepresence Robots
• Wearable Robotic Assistants

By Application

• Therapy and Counselling
• Stress Management
• Cognitive Training
• Companionship for Isolated Individuals

By End-User

• Individual Consumer Users
• Healthcare Facilities
• Mental Health Clinics
• Telehealth Providers

By Geography

• North America
  • United States
  • Canada
  • Mexico
• South America
  • Brazil
  • Argentina
  • Others
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Others
• Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
• Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Taiwan
  • Others

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Table Of Contents

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations

3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. MENTAL HEALTH ROBOTICS MARKET BY ROBOT TYPE

5.1. Introduction

5.2. Social Companion Robots

5.3. Therapeutic Robots

5.4. Telepresence Robots

5.5. Wearable Robotic Assistants

6. MENTAL HEALTH ROBOTICS MARKET BY APPLICATION

6.1. Introduction

6.2. Therapy and Counselling

6.3. Stress Management

6.4. Cognitive Training

6.5. Companionship for Isolated Individuals

7. MENTAL HEALTH ROBOTICS MARKET BY END-USER

7.1. Introduction

7.2. Individual Consumer Users

7.3. Healthcare Facilities

7.4. Mental Health Clinics

7.5. Telehealth Providers

8. MENTAL HEALTH ROBOTICS MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. United States

8.2.2. Canada

8.2.3. Mexico

8.3. South America

8.3.1. Brazil

8.3.2. Argentina

8.3.3. Others

8.4. Europe

8.4.1. United Kingdom

8.4.2. Germany

8.4.3. France

8.4.4. Italy

8.4.5. Others

8.5. Middle East & Africa

8.5.1. Saudi Arabia

8.5.2. UAE

8.5.3. Others

8.6. Asia Pacific

8.6.1. Japan

8.6.2. China

8.6.3. India

8.6.4. South Korea

8.6.5. Taiwan

8.6.6. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. ABB Ltd.

10.2. Fanuc Corporation

10.3. KUKA AG

10.4. Yaskawa Electric Corporation

10.5. Mitsubishi Electric Corporation

10.6. Staubli Robotics

10.7. Denso Corporation

10.8. Universal Robots (part of Teradyne)

10.9. Kawasaki Heavy Industries, Ltd.

10.10. Epson Robots (Seiko Epson Corporation)

11. APPENDIX

11.1. Currency

11.2. Assumptions

11.3. Base and Forecast Years Timeline

11.4. Key benefits for the stakeholders

11.5. Research Methodology

11.6. Abbreviations

LIST OF FIGURES

LIST OF TABLES

Companies Profiled

ABB Ltd.

Fanuc Corporation

KUKA AG

Yaskawa Electric Corporation

Mitsubishi Electric Corporation

Staubli Robotics

Denso Corporation

Universal Robots (part of Teradyne)

Kawasaki Heavy Industries, Ltd.

Epson Robots (Seiko Epson Corporation)

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