AI in Remote Patient Monitoring (RPM) Market worth $8,438.5 million by 2030
The report "AI in Remote Patient Monitoring (RPM) Market by Component (Device: Wearable, Implantable, Portable; Software, Service), Indication (Cardiac, Neuro, Onco, Diabetes, Sleep, Mental Health), End User (Hospitals, Clinics, Payer), Region - Global Forecast to 2030", is projected to reach USD 8,438.5 million by 2030 from USD 1,967.7 million in 2024, at a high CAGR of 27.5% during the forecast period.
Browse 290 market data Tables and 59 Figures spread through 323 Pages and in-depth TOC on "AI in Remote Patient Monitoring (RPM) Market by Component (Device: Wearable, Implantable, Portable; Software, Service), Indication (Cardiac, Neuro, Onco, Diabetes, Sleep, Mental Health), End User (Hospitals, Clinics, Payer), Region - Global Forecast to 2030"
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The growing number of elderly people and the growing need for affordable healthcare solutions are the main factors propelling the AI in remote patient monitoring (RPM) market. The United Nations Population Fund (UNFPA) predicts people aged 65 and older will grow from 10.3% worldwide population in 2024 to 20.7% by 2074. People aged 65+ will put a high strain on health services since healthcare budgets remain limited. Additionally, there is increase in the demand of health workers to improve health service coverage. According to WHO, there is an estimated shortfall of 11 million health workers by 2030, mostly in low- and lower-middle income countries. Al connected RPM solutions help in home care, reducing visits to hospitals, freeing up bed space for critically ill patients and, therefore reducing the burden of healthcare facilities on the staff. The number of adults suffering from chronic health problems, including heart conditions, stroke, and cancer, pushes up the demand for continued medical supervision. Some RPM systems combine state-of-the-art medical paraphernalia for the early and quick detection of potential health problems. They involve implantable sensors, wearables, and other connected devices to be used as continuous patient health monitors. For example, in October 2023, Boston Scientific Corporation released LUX-Dx II+, the next-generation implantable cardiac monitor for long-term heart rhythm monitoring, featuring dual-stage algorithms, remote programming, and the ability to detect multiple arrhythmias, including AFib and tachycardia. Such developments boost the AI in remote patient monitoring market.
Devices segment holds largest share of the AI in remote patient monitoring market by component in 2023
Based on component, the AI in remote patient monitoring market has been segmented into devices, software and services. In 2023, devices segment is estimated to hold the largest share of the market for AI in remote patient monitoring. AI-powered wearables like smartwatches and biosensors enable seamless, real-time health tracking, while portable and handheld devices such as AI-driven ECG monitors and glucose meters support remote diagnostics and chronic disease management. In the hospital environment, these stationary devices have helped increase the efficiency of Remote Patient Monitoring by functioning alongside enhanced AI analytics, cloud computing, and the Internet of Medical Things for optimum data transmission. As part of its continued commitment to telehealth and easily available, technologically enabled patient care, the Department of Veterans Affairs (VA) initiated several projects in 2025 to enhance remote patient monitoring (RPM). Among those were contracts to establish systems to allow tracking via telemetry for some 35 VA Medical Centers.
Patient segments register the fastest growth in the AI in remote patient monitoring market by end user in 2023.
The global AI in RPM market has seen significant growth at a very rapid pace. The patient segment is anticipated to be the biggest driver of growth in this sector. Factors such as the rising prevalence of chronic diseases, growing awareness of personalized healthcare, and increased patient engagement in self-monitoring are driving this growth. By enabling early disease detection, predictive analytics, and real-time monitoring of health, AI improves RPM, reduces hospital stays length, and recommends better patient outcomes. Real-time monitoring of health due to AI, predictive analytics, and early detection of diseases forms RPM to result in reduced hospital stay lengths and improved patient outcomes. AI-powered virtual assistants, digital health platforms, and remote diagnostics allow remote patient monitoring to become easier and more efficient, further boosting the growth of this market. An example is the KardiaRx App developed by AliveCor, Inc. that empowers patients and clinical trial participants to record ECGs at home.
Asia Pacific is registered the highest growth during the forecast period with significant CAGR in 2023.
The AI in remote patient monitoring market (RPM) is segmented into five major regions: North America, Asia Pacific, Europe, Middle East & Africa, and Latin America. Asia Pacific is expected to register highest growth during the forecast period. Factors which are driving this growth include increased in disposable incomes. Access to healthcare has changed significantly in this region, which is home to two-thirds of the world's population. This is particularly true in nations like China, where 10 million more seniors are added each. The region's governments have started programs to increase gadget manufacturing. India has invested 1,057.47 crore rupees as of September 2024 to construct 50 new manufacturing plants, while construction is underway on another 50. This endeavor is crucial to boosting the nation's ability to produce cutting-edge medical devices and facilitate the use of AI in remote patient monitoring. In order to provide everyone with access to reasonably priced and high-quality RPM and telehealth services, the National Digital Health Mission (NDHM) also seeks to establish a digital health ecosystem.
The AI in remote patient monitoring market is dominated by key players. The major players operating in this market are, Koninklijke Philips N.V. (Netherlands), Medtronic (Ireland), OMRON Helathcare, Inc. (Japan), GE HealthCare (US), Biobeat (Israel), Boston Scientific Corporation (US), Dexcom, Inc. (US), NIHON KOHDEN CORPORATION (Japan), F. Hoffmann-La Roche Ltd (Roche Diagnostics) (Switzerland), ResMed Inc. (US), AliveCor, Inc. (US), Biotronik (Germany), Beijing Choice Electronic Tech Co. Ltd. (China), TytoCare Ltd. (US), Gloooko, Inc. (US), Welldoc, Inc. (US), Zeto Inc. (US), Turtle Shell Technologies Pvt. Ltd. (Dozee) (India), Masimo (US), iRhythm Inc. (US).
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