The global market for artificial intelligence in remote patient monitoring was valued at approximately USD 1.99 billion in 2024 and is projected to reach USD 8.51 billion by 2030, representing a compound annual growth rate (CAGR) of 27.98% from 2025 to 2030. Key factors contributing to this market growth include the increasing trend toward personalized healthcare, a heightened focus on cost reduction in healthcare, and ongoing technological advancements.

 

Additionally, the growing adoption of advanced healthcare platforms, devices, and solutions aimed at alleviating the burden on hospital resources further supports market expansion. The rising prevalence of chronic conditions such as diabetes, cardiovascular diseases, neurological disorders, and respiratory issues drives the demand for effective monitoring solutions. Artificial intelligence (AI) enhances remote patient monitoring (RPM) systems by processing large volumes of data from wearable devices—such as smartwatches, fitness trackers, continuous glucose monitors, and wearable ECG monitors—to identify trends and alert healthcare providers before a patient's health deteriorates.

 

Furthermore, these devices lead to substantial cost savings for both healthcare providers and patients. By facilitating early detection and intervention, AI-enabled remote patient monitoring systems help decrease the necessity for emergency visits and hospital admissions, ultimately lowering healthcare costs. AI also automates routine tasks like data analysis and alert generation, allowing healthcare professionals to concentrate on patient care. This operational efficiency optimizes resource utilization and improves the overall quality of healthcare services.

 

Key Market Trends & Insights

  • North America held the largest revenue share at 50.66% in 2024, driven by advancements in healthcare IT infrastructure, rising healthcare expenditures, and widespread adoption of AI and machine learning technologies.
  • The U.S. accounted for the largest market share in 2024 due to advancements in medical technology, attractive funding opportunities, and the presence of numerous key players.
  • The AI-enabled devices segment captured over 42% of the revenue share in 2024, with devices such as continuous glucose monitors (CGMs), wearable ECG monitors, blood pressure cuffs, and pulse oximeters being widely utilized in chronic disease management. These devices provide real-time physiological data and enable intelligent, automated health assessments.
  • In terms of clinical applications, the diabetes management segment held a revenue share exceeding 19% in 2024, spurred by the global increase in diabetes prevalence and the need for continuous glucose monitoring. AI-powered RPM platforms deliver real-time insights, predict glucose fluctuations, and tailor care plans, thereby enhancing patient outcomes and minimizing complications.
  • The hospitals and health systems segment accounted for over 29% of the revenue share in 2024, driven by the rising incidence of chronic diseases, the necessity for continuous patient data analysis, and the demand for efficient healthcare delivery.

 

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Market Size & Forecast

  • 2024 Market Size: USD 1.99 Billion
  • 2030 Projected Market Size: USD 8.51 Billion
  • CAGR (2025-2030): 27.98%
  • North America: Largest market in 2024

 

Key Companies & Market Share Insights

Key players in the artificial intelligence in remote patient monitoring industry are implementing various initiatives to enhance their market presence and expand the reach of their products and services. Strategies such as launching new products and forming partnerships are critical to driving market growth.

 

Key Players

  • BioIntelliSense
  • Jorie Healthcare Partners
  • HealthSnap, Inc.
  • Roche
  • Dexcom
  • CompuGroup Medical
  • Abbott
  • Kakao Healthcare Corp.
  • Powerful Medical
  • Idoven
  • Viatom Technology Co., Ltd.
  • Lepu Medical (Carewell China)
  • AliveCor, Inc.
  • 100Plus.
  • Datos
  • Credo Health AI
  • Center Health

 

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Conclusion

The artificial intelligence in remote patient monitoring market is on a robust growth trajectory, driven by technological advancements and an increasing emphasis on personalized healthcare solutions. As the demand for effective chronic disease management rises, the integration of AI into monitoring systems will be essential for improving patient outcomes, optimizing healthcare resources, and reducing overall costs. Continuous innovation and strategic collaborations among key players will further shape the future landscape of this dynamic market.