AI in Remote Patient Monitoring (RPM) Market 

The global artificial intelligence market in remote patient monitoring market was valued at USD 1.9 billion in 2024 and is projected to grow at a CAGR of 27.9% from 2025 to 2035. The increasing demand for personalized healthcare, cost reduction in healthcare, and advancements in technology are significantly driving growth in the market. An increasing number of patients suffering from chronic diseases like cancer are driving the market significantly towards growth. AI-powered remote monitoring enables early detection, real-time intervention, and personalized care for heart patients, particularly in aging populations, thereby reducing complications and improving outcomes.

One of the primary drivers of this market is the global increase in chronic diseases and aging populations, which has led to an urgent need for continuous and cost-effective patient monitoring. AI-based RPM solutions not only reduce the burden on healthcare systems but also empower patients to manage their conditions better. Furthermore, the COVID-19 pandemic accelerated adoption, normalizing virtual care and remote diagnostics. This shift has continued post-pandemic, with healthcare providers and payers increasingly investing in AI-driven tools to support hybrid care models and decentralize service delivery. AI-based remote patient monitoring solutions allow cost-effective alternatives, concealing traditional hospital visits, thereby bringing down the burden on healthcare facilities. Hospital readmissions are cut off as the platform offers proactive care management and early intervention, thus reducing the associated costs.

The rising incidence of chronic conditions such as diabetes, cardiovascular and neurological diseases, and respiratory disorders drives the demand for effective monitoring solutions. Artificial intelligence (AI) enhances remote patient monitoring (RPM) systems by analyzing vast amounts of data from wearable devices, including smartwatches, fitness trackers, continuous glucose monitors, wearable ECG monitors, and other sources to identify trends and alert healthcare providers before the patient's health condition worsens.

Growth Drivers

The growing number of elderly people and the growing need for affordable healthcare solutions are the main factors propelling AI in the remote patient monitoring (RPM) market. The United Nations Population Fund (UNFPA) predicts that people aged 65 and older will grow from 10.3% of the 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 an increase in the demand for 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.

The increasing launch of new technologies with artificial intelligence (AI) for remote patient monitoring fuels the industry growth. The market expansion is further driven by the rising focus of key players on mergers, acquisitions, and partnerships to develop solutions with advanced technologies to enhance the process of remote patient monitoring. Furthermore, AI-driven RPM fosters personalized care by learning from individual patient data over time. Machine learning models can adapt to each patient’s unique health patterns, improving the accuracy of predictions and enabling tailored treatment plans. Natural language processing (NLP) tools can also interpret patient-reported symptoms via apps or voice interfaces, enriching the clinical picture.

 Segmentation

Artificial Intelligence in Remote Patient Monitoring Component

·         AI-enabled Devices

o   Continuous Glucose Monitor

o   Blood Pressure Monitors

o   Pulse Oximeters

o   Wearable ECG Monitor

o   Temperature Monitor

o   Respiratory Monitor

o   Fetal Heart Monitor

o   Others

·         Software & Platform

·         Services

Artificial Intelligence in Remote Patient Monitoring Clinical Application

·         Cardiovascular Monitoring

·         Diabetes Management

·         Respiratory Monitoring

·         Oncology Remote Monitoring

·         Mental Health & Behavioral Monitoring

·         Post-operative & Home Recovery

·         Elderly/Frail Patient Monitoring

·         Sleep Disorders & Neurological Monitoring

·         Others

Artificial Intelligence in Remote Patient Monitoring End User

·         Hospitals & Health Systems

·         Home Healthcare Providers

·         Primary Care/Outpatient Clinics

·         Payers & Health Insurers

·         Healthcare Companies

·         Others

By Region

·         Asia-Pacific

·         North America

·         Latin America

·         Middle East and Africa

·         Europe

Artificial Intelligence in Remote Patient Monitoring Component

Based on the component, the artificial intelligence in the remote patient monitoring market is segmented into devices, software and platforms, and services. Devices are the leading segment and are expected to dominate the market during the forecast period. In 2023, the 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. 

Regional Outlook

Based on the regions, the AI in the Remote Patient Monitoring Market is analyzed in 5 regions: Asia-Pacific, North America, Latin America, the Middle East and Africa, and Europe. North America, especially the U.S., has a highly developed healthcare system with widespread adoption of digital healthcare technology. The rising incidence of cancer in the U.S. and Canada is fueling the demand for continuous, home-based care solutions.

This trend is accelerating the adoption of AI-driven remote patient monitoring, which enhances treatment management, symptom tracking, and patient outcomes outside traditional healthcare settings. Hospitals and clinics in the region have a strong IT infrastructure to support AI integration with RPM systems. The region leads in AI research and development, especially in healthcare applications. In addition, factors such as a growing geriatric population, changing lifestyles, increasing prevalence of chronic disorders, and growing demand for value-based care are other factors propelling market growth in North America. Widespread use of wearable devices and connected health platforms enables efficient data collection and AI analysis. North America has the highest per capita healthcare expenditure, and the presence of key players is also fueling the market growth significantly.

European artificial intelligence in the remote patient monitoring market is anticipated to witness significant growth during the forecast period. This is attributed to the widespread adoption of AI technologies and increasing investments by government and private organizations. Countries like Germany, France, Russia, England, and the Nordic countries are contributing significant growth in the market due to one of the best healthcare infrastructures in the region.

The Asia Pacific artificial intelligence in remote patient monitoring market is projected to experience significant growth in the coming years. Increasing investments from private investors, venture capitalists, and nonprofit organizations aimed at enhancing clinical outcomes, improving data analysis and security, and reducing healthcare costs are driving adoption rates in the region. In addition, favorable government initiatives that support and promote the adoption of AI-based technologies by healthcare organizations and providers are anticipated to boost market growth.

Key Players

·         Accuhealth Technologies LLC

·         Biofourmis

·         Connect America

·         Cardiomo

·         ChroniSense Medical, Ltd.

·         HealthSaaS Inc.

·         MayaMD

·         Somatix Inc.

·         Feebris Ltd.

·         Huma

·         Neteera Technologies Ltd

·         iHealth Labs Inc.

·         Siemens Healthcare Private Limited

·         HealthSnap

·         Other Players