GLOBAL RORBOTIC NURSE ASSISTANT MARKET (2026 - 2030)

The Robotic Nurse Assistant Market was valued at USD 1.39 billion in 2025 and is projected to reach a market size of USD 2.89 billion by the end of 2030. Over the forecast period of 2026-2030, the market is projected to grow at a CAGR of 15.74%.

The​‍​‌‍​‍‌ Robotic Nurse Assistant Market represents an interconnected world of hardware, software, services, and integrated solutions that are intended to support clinical and non-clinical caregiving tasks by employing autonomous or semi-autonomous robotic platforms. The market includes robots that face patients and help them with mobility, medication delivery, vital-sign monitoring, and companionship, as well as back-of-house systems that manage logistics, sanitation, and supply distribution by automating processes within hospitals, long-term care facilities, and home health environments. The causes behind the expansion of the market are elderly populations, lack of clinicians, increasing healthcare costs, and the necessity for infection-resilient operations that require contact-minimizing technologies. Apart from that, breakthroughs in AI, sensor fusion, natural language processing, and human-robot interaction are enhancing the functional capability of robots while simultaneously diminishing the clinical adoption challenges. Also, the modular, interoperable designs are facilitating the deployment across various care settings quickly than before. On the other hand, the market is still facing different challenges such as regulatory scrutiny, reimbursement variability, and issues related to data privacy and workforce displacement, which, hence, make vendors focus more on safety, clinical validation, and workforce augmentation narratives. Geographically, investment and pilot programs in well-developed health systems are accompanied by rapidly increasing demand in the Asia-Pacific, caused initially by demographic changes and infrastructure upgrades. As value propositions shift from mere novelty to real operational and clinical outcomes, stakeholders are increasingly judging robotic nurse assistants by measures such as patient satisfaction, task efficiency, error reduction, and total cost of care.

Key Market Insights:

Workforce pressure is the primary driver of demand. Hospitals and long-term care providers face acute nurse shortages and high turnover: global nursing shortfalls measured in the millions, and national projections showing large direct-care gaps are driving urgent interest in task-offload technologies. These workforce gaps make non-patient-facing robot assistants (transport, supply delivery, sample handling) a prioritized investment to maintain care capacity without hiring equivalently large numbers of new staff.

Proven time-recovery from deployed robots, measurable, repeatable gains. Field deployments and workload analyses show robots and automation can free clinicians’ time by meaningful margins (an internal workload study found up to 15% of nurse time could be reclaimed via automation and delegation), and real hospital deployments have reported hundreds of thousands of staff hours saved across fleets (single vendors and hospital pilots report tens of thousands of hours saved in individual systems). Those reclaimed hours translate directly to more bedside time, fewer overtime hours, and lower burnout risk. McKinsey & Company

Unit growth is accelerating. Asia-Pacific is the engine of volume adoption. Global service/medical robot shipments have jumped year-over-year (medical-robot sales rose strongly year-to-year; professional service robots numbered in the hundreds of thousands), and 80% of professional service robots by unit were in Asia-Pacific in recent IFR data a clear signal that volume adoption (transport, logistics, telepresence/guide robots) is concentrated in APAC even when clinical innovation often begins in multiple regions.

New business & tech models are reshaping procurement and speed-to-value. Three technology/business trends matter now healthcare leaders are prioritizing AI and automation investments (major surveys show a large majority put AI in their top-three investment priorities), robot-as-a-service (RaaS) and subscription models are growing rapidly (making pilots and scaling cheaper), and software/RPA combined with physical robots is already delivering measurable admin savings (one large health system’s automation programs handled 90M records and saved 1.7M worker-hours). These trends lower the adoption barrier (capex integration risk) and accelerate scaled rollouts.

Policy and subsidy programs (notably in parts of Asia) are accelerating clinical use cases for eldercare and hospital logistics. Countries with aging populations and explicit long-term-care robotics programs (policy incentives, pilot funding, and standards work) are moving fastest from pilots to mainstream deployments. Government priority programs and subsidy schemes (examples exist in Japan and targeted smart-hospital programs in other APAC markets) have supported early adoption in eldercare and logistics. The practical effect is earlier scale, higher installed-unit counts, and lower per-facility procurement friction in those markets.


 

Market Drivers:

Widening Global Nursing Shortages and Rising Patient-Care Workloads Are Driving Adoption of Robotic Nurse Assistants.

The​‍​‌‍​‍‌ insufficient number of nurses who are qualified and can work in hospitals, nursing homes, and domiciliary care has been the major factor that challenges the use of robotic nurse assistants. However, as healthcare systems worldwide face an increasing gap between patient care demand and available clinical staff, the shortage of nursing professionals has become the most significant reason for the adoption of the use of these robots. The growing number of elderly people, the rise of chronic diseases, and the increased workloads are the main reasons for this gap. Since nurses are overwhelmed with work, and routine tasks such as patient mobility support, supply delivery, sample transport, and basic monitoring take up a lot of their time and physical energy, they are turning to robotic assistants who can be their dependable extensions. The robots in question perform patient lifting, room-to-room logistics, and repetitive tasks that cause workers' fatigue or workplace injuries. At the same time, their continuous operation and consistent performance contribute to the reduction of the strain on caregivers and overall workflow efficiency. Therefore, healthcare administrators no longer perceive robotic nurse assistants as optional conveniences but rather as indispensable investments that help to maintain the quality of care, reduce burnout, and provide timely assistance to patients even when there are staff shortages. In this way, the nursing shortage has become a structural market driver that is driving the widespread adoption of robotic nurse assistant technologies in modern healthcare facilities. Consequently, the nursing shortage has become a structural market driver that continues to drive the widespread adoption of robotic nurse technologies across modern healthcare ​‍​‌‍​‍‌environments.

Advancements in AI, Sensor Technologies, and Human–Robot Collaboration Are Accelerating the Growth of Robotic Nurse Assistant Solutions.

Artificial​‍​‌‍​‍‌ intelligence, intelligent sensing systems, and intuitive human–robot collaboration frameworks have been significant factors in the robotic nurse assistant market. They have transformed these machines from basic automated devices into intelligent partners capable of assisting nurses with context-aware decision support. Today, such systems incorporate advanced vision technologies, multi-modal sensors, precise navigation algorithms, and natural-language interaction tools, which together enable safe patient engagement and adaptation to dynamic care environments. Improved usability through user-friendly interfaces, voice commands, gesture controls, and simplified workflow integration makes these robots accessible even to non-technical medical staff. At the same time, the reduced costs of enabling technologies such as LiDAR modules, AI processors, and depth cameras allow adoption by healthcare facilities of all sizes. Moreover, these innovations are in tune with the transition to interoperable, data-driven healthcare ecosystems, whereby robots can record their activities, sync with electronic health records, and facilitate accurate compliance documentation. The combination of intelligence, automation, and operational efficiency not only puts the incidence of errors to a minimum and optimizes patient outcomes but also elevates robotic nurse assistants to the status of indispensable tools, thus ensuring their extensive adoption ​‍​‌‍​‍‌worldwide.
 

Market Restraints and Challenges:

Robotic​‍​‌‍​‍‌ Nurse Assistant Market Growth is limited to a challenging landscape due to the combined factors of high integration costs and low workforce readiness. According to the market, the use of robotic nurse assistants requires a substantial upfront investment in hardware, software, and infrastructure, which is often a heavy burden for medium-sized and resource-constrained healthcare facilities. However, hospitals also face technical and cultural resistance, as the nursing staff may be reluctant to adopt robotic collaboration due to the fear of losing their jobs, lack of familiarity with automation, or the extra training needed to learn how to operate and maintain advanced systems. These financial and human-centered barriers slow down the implementation process; thus, it is very difficult for healthcare institutions to make a smooth transition to robot-enabled care ​‍​‌‍​‍‌environments.
 

Market Opportunities:

The​‍​‌‍​‍‌ Robotic Nurse Assistant Market is characterized by a substantial potential for significant growth. This expansion is mainly influenced by two key factors that are fundamentally changing the way care is delivered. Initially, the market has an opportunity to enhance its growth rate by the establishment of robotic nurse assistants not only as indispensable partners in hospitals but also in home-care and chronic-care management, scenarios in which these devices are used as intelligent companions that monitor patients, support treatment adherence, and connect seamlessly with clinicians—this transformation being in perfect harmony with the worldwide trend of decentralized, value-based care. Moreover, the company is eyeing the in-hospital workflow augmentation sector as a source of considerable growth potential. In these settings, the assistants are increasingly recognized as a means of alleviating the routine work that is most time-consuming and labor-intensive, such as the collection of vital signs, supply transport, and documentation prompts, thus resulting in an increase in staff productivity and patient satisfaction. In effect, these two strategies combined pave the way for scalable device-plus-service models, more profound integration with clinical systems, and extended partnerships with health systems that are on the lookout for solutions to workforce shortages and increased care ​‍​‌‍​‍‌demands.

GLOBAL RORBOTIC NURSE ASSISTANT MARKET

Market Segmentation:

Segmentation By Type:

• Autonomous Mobile Robots (AMRs)
• Telepresence & Remote Consultation Robots
• Patient-Handling & Transfer Robots
• Medication Management Robots
• Vital-Sign Monitoring & Diagnostic Robots
• Rehabilitation & Therapy Robots
• Disinfection & Sanitization Robots
• Software & AI Platforms
• Professional Services

Autonomous​‍​‌‍​‍‌ Mobile Robots (AMRs) are the primary agents in the robotic nurse assistant market, as they are highly adaptable to different navigations in healthcare facilities, can provide medications, supplies, and laboratory samples quickly, and help in the reduction of the physical workload of nurses. Such machines are fitted with advanced sensors, AI-based navigation, and obstacle avoidance systems thus, they can interact with patients and staff in a safe and real-time manner. On a large scale, hospitals and long-term care facilities have been implementing AMRs to facilitate the logistics process, reduce human errors, and increase efficiency in operations. Thus, this segment has become the largest in terms of market adoption and ​‍​‌‍​‍‌utilization.

Among​‍​‌‍​‍‌ the different types of healthcare robots, the one that has distinctly outpaced others in terms of growth is that of telepresence and remote consultation robots. This surge in demand is mainly attributable to the need for remote healthcare delivery as well as virtual patient monitoring. Through these robots, the medical staff and specialists can have a direct interaction with the patients located at a different place, which subsequently minimizes the chances of infection and also widens the availability of healthcare services to those living in less developed or remote areas. The expansion of this segment is further fueled by the widespread use of telemedicine solutions, which are AI-assisted diagnostics and patient engagement that is continuous, especially in the aftermath of the global healthcare ​‍​‌‍​‍‌crisis.
 

Segmentation By Application

• Patient Monitoring & Continuous Care
• Medication Dispensing & Administration
• Telehealth & Remote Nursing
• Patient Transport & Logistics
• Assisted Mobility & Daily Living Support
• Rehabilitation & Physiotherapy
• Infection Control & Environmental Safety
• Administrative & Documentation Automation
• Emergency Response & Triage Support
   

The​‍​‌‍​‍‌ demand for Patient Monitoring and Continuous Care is the major factor that has elevated the market of a Robotic Nurse Assistant to such a great extent, as it allows the tracking of vital signs in real-time, the early detection of health anomalies, and the continuous supervision of patients in hospitals and care facilities. Intelligent robotic systems that are equipped with AI-driven analytics and multi-modal sensors enable healthcare providers to monitor the condition of patients effectively, while at the same time, they decrease the manual workload. Facilities are turning to these remedies as a means of effecting patient safety, making care delivery more efficient, and enhancing clinical outcomes. The leadership of this division is therefore propelled by the increasing need for proactive healthcare and the continuous supervision of patients originating from the critical care ​‍​‌‍​‍‌environments.

Telehealth​‍​‌‍​‍‌ & Remote Nursing constitutes the most significant application segment of the market that is evolving at an exponential rate. As the need for virtual healthcare services and online consultations rises worldwide, the usage of robotic nurse assistants becomes a must to facilitate a smooth interaction between patients and the remote medical staff. Such systems enable remote monitoring, teleconsultations, and medication guidance, and are thus very effective in meeting the needs that arise due to decentralization and the general trend towards accessible healthcare solutions. The booming growth of this segment is an indicator of the increasing demand for home care, the needs of the aging population, and the post-pandemic trend toward digital healthcare ​‍​‌‍​‍‌delivery.


 

Market Segmentation: Regional Analysis:

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East & Africa

Currently,​‍​‌‍​‍‌ North America is still the biggest market for robotic nurse assistants, which is mainly caused by the region being the pioneer in the implementation of advanced healthcare technologies and having a robust hospital infrastructure. Besides, the area acquires the advantages of the presence of the front-runner providers of robotics and AI solutions, along with the strong funding allocation to research and development in healthcare automation and innovation. Besides, high patient awareness, increased geriatric population, and government initiatives promoting smart healthcare solutions are some of the factors that are further consolidating North America’s hold on the market. The most important healthcare sectors, such as hospitals and elderly care facilities, are now turning to robotic nurse assistants as a means to not only accomplish their goals easily but also to raise the standard of patient ​‍​‌‍​‍‌care.

The​‍​‌‍​‍‌ robotic nurse assistant market in the Asia-Pacific region is expanding at the highest rate. The growth is majorly driven by the fast urbanization, healthcare infrastructure modernization, and technology adoption in various sectors in countries like China, India, and Japan. The necessity for effective patient care, which is a result of the aging population, is one of the factors that have led to the market's rapid growth. Government initiatives towards smart hospitals, healthcare-friendly policies, and collaborations with tech providers are some of the factors that have facilitated the use of robotic nurse assistants in the region. The mixture of a high population density and an increasing healthcare awareness level creates enormous potential for the market to grow ​‍​‌‍​‍‌further.
 

COVID-19 Impact Analysis:

The​‍​‌‍​‍‌ COVID-19 pandemic has been a major factor in rapidly expanding the Robotic Nurse Assistant market. It changed the way healthcare is delivered and what is prioritized. In the situation where hospitals were overwhelmed, and the frontline medical staff were exposed to risks like never before, the need for such robotic solutions that could reduce human exposure increased very fast. Robots, nurse assistants, powered with features like independent navigation, patient interaction, and real-time monitoring, were instrumental in lightening the healthcare workers' load and ensuring that patient care went on uninterrupted. Furthermore, the virus outbreak compelled the medical sector to focus more on infection prevention and, thus, only the most advanced facilities with the latest technologies in touchless and automated systems could be at the forefront of the market expansion. Large investments in cutting-edge AI, sensor integration, and telemedicine-enabled robotics took place as organizations looked for flexible solutions suitable for both acute and long-term care. The areas severely hit by COVID-19, such as North America and parts of Europe, were the first to have rapid deployments of robotic nurse assistants, while the developing markets slowly started examining hospital resilience through pilot programs. The healthcare automation regulatory landscape also accelerated as a result of the pandemic, and alongside it, there were more government grants and fundraising activities, which eventually helped position the robotic nurse assistants as a sustainable solution.

Latest Market News:
 

• In December 2024, as part of the “Imagine AI 2024” health‑tech conference, NUHS unveiled a fleet of 30 robots called Missi, intended to support patient care at National University Hospital (NUH). The plan is to roll out Missi in a pilot starting April 2025. Missi, standing 1.5 m tall, will be able to deliver medicine, guide patients around the hospital, monitor vital signs (detect risk of falls), and even assist in tele‑consultations between patients and doctors.
   
• In March 2025, it is launching Curabotics, a company dedicated solely to healthcare automation. Curabotics’ remit includes “Nurse‑Assist robots”, robotic pharmacy, automated hospital warehouse, inter-campus delivery, home‑health robotics, and more. By consolidating these capabilities under a specialised healthcare‑automation firm, Chang Robotics signals a concerted push into the robotic‑nurse/assistant segment.
   
• In July 2025, it was reported that Kawasaki and Foxconn have teamed up to build “Nurabot,” a robotic nursing assistant built on Kawasaki’s social‑robot “Nyokkey.” Nurabot is designed to help with nonclinical hospital tasks, transporting medicines or lab samples, guiding patients, and generally relieving nurses from routine duties. The company's aim for commercial availability is around 2026.
   
• In November 2025, OTSAW announced a nine-year “Robot-as-a-Service” (RaaS) partnership with a leading public hospital in Singapore (part of the SingHealth cluster, with over 1,000 beds) to deploy its AMR (autonomous mobile robot) solution, Transcar 5. While described as logistics-oriented (medical supplies, linen, surgical tools, meals), this deal significantly boosts the broader case for autonomous and robotic assistants in hospital workflows, including potential nursing‑assistant use cases under pressure from workforce shortages.

Latest Trends and Developments:

The​‍​‌‍​‍‌ Robotic Nurse Assistant Market is experiencing vibrant growth, which is largely attributed to innovations in technology and changing healthcare requirements. In a short time, advancements in AI, computer vision, and intelligent sensing systems have equipped robots with the capability to carry out complex functions such as patient monitoring, medication delivery, mobility assistance, and decision support, thus, they are considered as co-workers rather than simple automation tools. Besides, hospitals are the main users of the technology, whereas the increasing application in home care, long-term care, and rehabilitation centers indicates the growing demand for aged care and chronic patient management sectors. Some of the future features could be AI-powered self-governance, collaboration between humans and robots, telepresence integration, and subscription-based deployment models, to name a few, with the ultimate goal of enhancing operational efficiency and improving patient outcomes. Nevertheless, among the limitations still faced are the hefty initial costs, difficulties in integration, and issues related to safety, ethics, and regulation. Further into the future, the market will be characterized by the implementation of healthcare predictive solutions, the provision of remote care with improved functionalities, and the emergence of new business models that will make robotic nurse assistants indispensable elements of contemporary, patient-centered healthcare ​‍​‌‍​‍‌systems.

Key Players in the Market:

• RoboKind
• Stryker Corporation
• Surgical Innovations Group
• Cyberdyne
• CureMetrix
• Aldeon Robotics
• Nuro
• Heartfelt Technologies
• KUKA AG
• Boston Dynamics