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Robotic Nurse Assistant Market - Global Forecast 2025-2032

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    Report

  • 187 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6012433
UP TO OFF until Jan 01st 2026
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Robotic nurse assistants are reshaping healthcare by automating essential clinical workflows, empowering executives to counter resource limitations and streamline operations as care models evolve.

Robotic Nurse Assistant Market Snapshot

The robotic nurse assistant market is on a path of robust expansion, propelled by increased integration of automation and AI-driven technologies. From 2024 through 2032, a compound annual growth rate of 15.11% is forecast, marking significant momentum and investment opportunities. Leading healthcare organizations are advancing adoption to address workforce gaps, respond to changing regulatory demands, and optimize patient care models. The competitive landscape is rapidly evolving, with organizations embracing innovation to gain operational advantages and meet diverse care needs.

Scope & Segmentation of the Robotic Nurse Assistant Market

This market report delivers comprehensive insight into critical segments and supports executives as they evaluate potential technology investments and partnership strategies for scaling robotic nurse assistant deployment. Each area outlined below provides actionable perspectives designed to inform procurement, implementation, and integration planning:

  • Application Areas: Automation of hospital logistics improves efficiency in supply transport and waste removal; advanced medication management systems help decrease the risk of clinical error; patient monitoring capabilities enable broader oversight with features such as fall detection; telepresence and rehabilitation tools increase patient engagement and flexibility of care delivery.
  • Component Types: Enhanced integration of both electric and hydraulic actuators, combined with sophisticated touch and vision sensors, contributes to precise monitoring and movement; service aspects—including installation, maintenance, and staff training—are fundamental for effective performance; modular software facilitates easy adaptation to clinical workflow changes.
  • End Users: Hospitals, clinics, home health providers, and long-term care facilities adopt these systems to enhance patient experience, maintain quality standards, and ensure organizational responsiveness across a variety of patient settings.
  • Mobility Platforms: Stationary, tracked, and wheeled robots are designed to serve acute care, ambulatory clinics, and outpatient facilities, supporting integration within complex care environments and diverse infrastructure.
  • Regional Coverage: The Americas remain a central hub for early adoption and technological leadership, with significant contributions from the United States and Canada. Europe, the Middle East, Africa, and Asia-Pacific foster ongoing growth, each region presenting unique regulatory and infrastructure factors that shape technology rollouts.
  • Key Market Players: Industry direction is set by established organizations including Panasonic Healthcare, Toyota Motor Corporation, SoftBank Robotics, Omron Corporation, Aethon, Vecna Robotics, Cyberdyne, Siasun Robot & Automation, ABB, and KUKA, each advancing best practices, technological development, and market benchmarks.

Robotic Nurse Assistant Market: Key Takeaways for Senior Decision-Makers

  • Delegation of standard and repetitive clinical tasks to robotic nurse assistants allows care teams to focus on specialized, high-value clinical work and interventions.
  • Voice-activated controls and intelligent navigation enhance adaptability, increasing the robots’ suitability for a range of clinical settings and workflows.
  • The application of AI enables standardization and sharing of insights, supporting unified best practices across networks or multisite organizations.
  • Integrated telepresence and remote support features foster improved care team collaboration, enabling hybrid and flexible care delivery models.
  • Structured implementation of professional training and maintenance ensures sustained workflow stability and high levels of technology utilization.
  • Modular design strategies support health systems in adapting flexibly to regulatory shifts and facility changes, helping to safeguard service consistency.

Tariff Impact on Supply Chains and Cost Structures

The introduction of U.S. tariffs on essential robotic nurse assistant components has led market participants to diversify sourcing by seeking suppliers from untariffed regions and exploring modular procurement. Strengthening domestic manufacturing and aligning with local supply partners are key responses, helping stabilize supply chains and buffer the effects of evolving trade policy on technology access and project cost structures.

Methodology & Data Sources

This report is based on direct interviews with healthcare executives and robotics sector leaders, validated by cross-checking with peer-reviewed literature, regulatory briefings, and sector-wide trend analysis. Data triangulation supports decision-makers with reliable insights for setting investment priorities.

Why This Report Matters

  • Provides healthcare leaders with critical benchmarking tools to guide investment and technology selection in the current policy landscape.
  • Clarifies the operational implications of regulatory and supply chain changes for seamless integration and procurement planning.
  • Delivers frameworks that help organizations implement robotics efficiently, ensuring reliability and engagement at every implementation phase.

Conclusion

Robotic nurse assistants are supporting improved healthcare delivery by fostering organizational resilience. Their adoption enables health systems to adapt confidently, maintain care quality, and address workforce and operational challenges.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of AI-driven predictive analytics in robotic nurse assistants for proactive patient care
5.2. Adoption of telehealth-enabled robotic nursing platforms to expand remote patient monitoring capabilities
5.3. Advancements in robotic dexterity and fine motor control for automated medication dispensing accuracy enhancement
5.4. Development of regulatory compliance frameworks and data privacy standards for healthcare robotics integration
5.5. Collaborative partnerships between healthcare providers and robotics startups driving customized assistant solutions
5.6. Emphasis on human-robot interaction design improvements to enhance patient comfort and trust in clinical settings
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Robotic Nurse Assistant Market, by Application
8.1. Logistics
8.1.1. Supply Transport
8.1.2. Waste Disposal
8.2. Medication Management
8.2.1. Adherence Monitoring
8.2.2. Dispensing
8.3. Patient Monitoring
8.3.1. Fall Detection
8.3.2. Vital Signs Monitoring
8.4. Rehabilitation
8.4.1. Cognitive Therapy Assistance
8.4.2. Physical Therapy Assistance
8.5. Telepresence
8.5.1. Remote Consultation
8.5.2. Remote Surgery Assistance
9. Robotic Nurse Assistant Market, by Component
9.1. Hardware
9.1.1. Actuators
9.1.1.1. Electric Actuators
9.1.1.2. Hydraulic Actuators
9.1.2. Sensors
9.1.2.1. Touch Sensors
9.1.2.2. Vision Sensors
9.2. Services
9.2.1. Installation
9.2.2. Maintenance
9.2.3. Training
9.3. Software
9.3.1. Navigation Software
9.3.2. User Interface Software
9.3.2.1. Touchscreen Interface
9.3.2.2. Voice Recognition Interface
10. Robotic Nurse Assistant Market, by End User
10.1. Clinics
10.2. Home Healthcare
10.3. Hospitals
10.4. Long-Term Care Facilities
11. Robotic Nurse Assistant Market, by Mobility
11.1. Stationary
11.2. Tracked
11.3. Wheeled
12. Robotic Nurse Assistant Market, by Region
12.1. Americas
12.1.1. North America
12.1.2. Latin America
12.2. Europe, Middle East & Africa
12.2.1. Europe
12.2.2. Middle East
12.2.3. Africa
12.3. Asia-Pacific
13. Robotic Nurse Assistant Market, by Group
13.1. ASEAN
13.2. GCC
13.3. European Union
13.4. BRICS
13.5. G7
13.6. NATO
14. Robotic Nurse Assistant Market, by Country
14.1. United States
14.2. Canada
14.3. Mexico
14.4. Brazil
14.5. United Kingdom
14.6. Germany
14.7. France
14.8. Russia
14.9. Italy
14.10. Spain
14.11. China
14.12. India
14.13. Japan
14.14. Australia
14.15. South Korea
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. Panasonic Healthcare Co., Ltd.
15.3.2. Toyota Motor Corporation
15.3.3. SoftBank Robotics Group Corp.
15.3.4. Omron Corporation
15.3.5. Aethon, Inc.
15.3.6. Vecna Robotics, Inc.
15.3.7. Cyberdyne, Inc.
15.3.8. Siasun Robot & Automation Co., Ltd.
15.3.9. ABB Ltd.
15.3.10. KUKA AG

Companies Mentioned

The companies profiled in this Robotic Nurse Assistant market report include:
  • Panasonic Healthcare Co., Ltd.
  • Toyota Motor Corporation
  • SoftBank Robotics Group Corp.
  • Omron Corporation
  • Aethon, Inc.
  • Vecna Robotics, Inc.
  • Cyberdyne, Inc.
  • Siasun Robot & Automation Co., Ltd.
  • ABB Ltd.
  • KUKA AG

Table Information