Smart Hospital Beds Market Size and Forecasts (2020 - 2030), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: By Patient Weight (Less than 70 lb, 70–150 lb, 150–400 lb, 400–500 lb, and Greater than 500 lb), Offering (Pro

Smart Hospital Beds Market Size and Forecasts (2020 - 2030), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: By Patient Weight (Less than 70 lb, 70–150 lb, 150–400 lb, 400–500 lb, and Greater than 500 lb), Offering (Products & Accessories, Software & Solutions, and Patient Weight), Application (Fall Prevention, Pressure Injury Prevention, Patient Deterioration & Monitoring, and Others), End User (Hospitals, Clinics & Nursing Homes, Ambulatory Surgical Centers, Medical Laboratories, Long Term Care Centers, and Others), and Geography

The smart hospitals bed market size is expected to reach US$ 1,49711 million by 2030 from US$ 526.28 million in 2022; it is estimated to record a CAGR of 14.0% from 2022 to 2030.

The latest innovations or upgrades in products encourage healthcare facilities to adopt new technologies. Governments are putting efforts into enhancing their healthcare infrastructure by providing funds to build hospitals that are equipped with state-of-the-art technologies. A few of the latest developments by governments and companies in the smart hospital beds market are mentioned below.

In February 2023, Stryker launched SmartMedic, the first ICU bed upgrade platform introduced in India, to enhance patient care and caregivers’ safety.
In August 2022, Dozee partnered with Midmark India, one of the largest hospital bed manufacturers in South Asia, and launched a connected bed platform for non-ICU settings. The AI-powered contactless sensor from Dozee is integrated into the bed and is placed under the mattress to detect a patient's vital signs, including heart and respiration rates, temperature, oxygen saturation, and electrocardiogram (ECG).
In February 2021, Hillrom acquired contact-free continuous monitoring technology from EarlySense at a value of US$ 30 million to strengthen its Centrella Smart+Bed designed to monitor heart and respiratory rates that are above 100 units per minute. The enablement by EarlySense technology allows Centrella Smart beds to send potential alerts to clinicians about the deterioration of patients’ health.
In October 2020, the President of the UK confirmed to provide funding to 40 hospitals under the Health Infrastructure Plan (HIP) in the country. The President assigned funds of US$ 3 billion (£3.7 billion) for the first 40 hospitals to be built by 2030. In addition, 8 more schemes were committed to funding 48 hospitals by 2030.
In October 2020, Stryker launched its ProCurity, a fully wireless hospital bed. ProCurity is a smart bed designed ergonomically with a height of 11.5 inches to prevent or reduce in-hospital patient falls at all acuity levels. The beds have easy-to-use touchscreens and bed monitoring systems. The ProCurity smart beds are meant to improve the safety of patients, enhance the work efficiency of nursing staff, and lower the operating costs of hospitals. In February 2021, Stryker launched the safe, smart, and scalable ProCuity Bed Series, which is made available in 70 countries worldwide.

Such initiatives are contributing to the growth of the smart hospital beds market.

Increasing Advancement in Robotic Hospital Bed Provides New Opportunities for the Smart Hospital Bed Market

Researchers are working on developing hospital beds incorporated with robotics. According to an April 2020 press release by the German Research Center for Artificial Intelligence GmbH (DFKI GmbH), the German Federal Ministry for Education and Research (BMBF) provided US$ 1.7 million (1.8 million euros) in funds to develop robotic systems and sensor solutions for hospital beds under the project AdaMeKoR, initiated by Johanniter-Unfall-Hilfe humanitarian organization in March 2020. The University of Osnabrueck, the University of Oldenburg, and the DFKI are collaboratively working on different components of robotic beds to ease the work for nursing staff and patients as part of this project. Departments such as the Robotics Innovation Center and the Cyber-Physical Systems research departments of the DFKI GmbH have also participated in AdaMeKoR, which aims to overcome challenges posed by the shortage of staff and the strains on medical workers in Germany. Besides the staff shortage, the government aims to improve the nursing staff's physical health by reducing illness among them, which would subsequently decrease sick leaves and occupational disabilities. The research participants of the AdaMeKoR project also intend to develop a robotic arm for transferring patients from one place to another and sensors for analyzing the posture of nursing staff. They are also looking forward to developing a joystick for people with limited mobility and the robotic transfer of patients from bed to a wheelchair. Thus, government initiatives to support the ongoing development of robotic hospital beds are likely to provide significant opportunities for the smart hospital beds market growth in the future.

The smart hospital beds market is segmented on the basis of patient weight, application, offering, and end user. By patient weight, the smart hospital beds market is segmented into less than 70 lb, 70-150 lb, 150-400 lb, 400-500 lb, and greater than 500 lb. The market, based on application, is segmented into fall prevention, pressure injury prevention, patient deterioration & monitoring, and others. On the basis of offering, the smart hospital beds market is segmented into products & accessories, software & solutions, and services. On the basis of end user, the smart hospital beds market is segmented into hospitals, clinics & nursing homes, ambulatory surgical centers, medical laboratories, long term care centers, and others. In terms of geography, the smart hospital beds market is segmented into North America (the US, Canada, and Mexico), Europe (the UK, Germany, France, Italy, Spain, and Rest of Europe), Asia Pacific (China, Japan, India, Australia, South Korea, and Rest of Asia Pacific), the Middle East & Africa (the UAE, Saudi Arabia, South Africa, and Rest of the Middle East & Africa), and South & Central America (Brazil, Argentina, and Rest of South & Central America).

Based on geography, the market is segmented into North America, Europe, Asia Pacific, the Middle East & Africa, and South & Central America. North America holds the largest share of the global smart hospital beds market. The US, Canada, and Mexico are the major contributors to the market growth in this region. The growth of the smart hospital beds market in North America is majorly driven by the increasing prevalence of chronic diseases such as stroke, diabetes, and cancer. Additionally, the surging incidence of obesity in the population and rapid growth of the geriatric population is expected to fuel the demand for smart hospital beds in the region in the coming years. The US is the largest market for smart hospital beds in North America. The growth of the smart hospital beds market in the US is majorly driven by the increasing prevalence of chronic diseases such as diabetes and cancer, and lifestyle diseases such as obesity; rapid growth of the geriatric population; longer hospital stays after critical surgery procedures; availability of technologically advanced smart hospital beds; and favorable reimbursement policies. Patients suffering from chronic diseases such as cancer, cardiovascular diseases, immune deficiencies, multiple sclerosis, and rheumatoid arthritis need long-term monitoring and treatment. As a result, patients suffering from chronic diseases may need to stay in hospitals for long periods. Smart beds gather information on the health status of patients and aid in statistical analysis. This results in increased efficiency and accurate diagnostics for healthcare providers and medical professionals while paving the way to reduce the number of hospital readmissions. Smart beds can create a network of connected devices, mechanical and digital gear, or people with unique identifiers, and they can rapidly transmit data to designated systems.