The AI in remote patient monitoring market 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. The rising wearable health technologies to achieve better overall health. Al-powered RPM solutions have the potential to remedy the inadequate healthcare worker supply, especially in rural areas, relieving the strain on healthcare workers and allowing for the remote monitoring and physician management of patients. The European Commission states that about 30% of the population in Europe will be aged 65 and older by 2050, putting added pressure for a continuum of care and remote healthcare solutions. Furthermore, the updates from the US Centers for Medicare & Medicaid Services (CMS) for 2025 as government policies are increasingly supporting the adoption of Remote Patient Monitoring (RPM) by expanding reimbursement policies. In addition, the growing government support and approvals for AI in RPM devices further drives its market growth. For instance:
- In November 2024, OMRON Healthcare received FDA De Novo authorization for blood pressure monitors with AI-powered atrial fibrillation (AFib) detection, enhancing early detection and stroke prevention.
- In July 2024, Roche receives CE Mark for its AI-enabled continuous glucose monitoring solution offering critical predictions to people living with diabetes.
- In August 2023, Biobeat (Israel) received full CE mark for 13 vitals including pulse rate, blood pressure, temperature, and more to advanced metrics like cardiac output, stroke volume, and oxygen saturation
- In July 2023, Dexcom G7 has received Health Canada approval, to bring next-generation continuous glucose monitoring system to Canadians, enhancing diabetes management with real-time insights.
Based on indication, the AI in remote patient monitoring market is segmented into oncology, cardiology, neurology, diabetes, sleep disorders, respiratory diseases, wellness improvement, mental health, and other indications. The cardiology segment holds the largest share of the indication segment market in 2023. Artificial intelligence (AI) in remote patient monitoring (RPM) in cardiology enables clinicians to remotely monitor patient health to manage chronic diseases like heart failure and hypertension and to identify arrhythmias. Recent technologies include, in June 2023, an AI-driven BioMonitor IV insertable cardiac monitor (ICM) released by Biotronik that is designed with enhanced features, like fewer false positives for atrial fibrillation (AFib), bradycardia, tachycardia, and pause detection. Additionally, collaboration is seen among the companies for improving cardiovascular care driven by AI algorithms.
Based on component, AI in remote patient monitoring is segmented into devices, software, and services. The software segment is expected to register the highest CAGR in the forecast period. The growth of this segment is advancements in AI-powered analytics, predictive modeling, and cloud-based healthcare platforms. The companies are relying on deep learning models and natural language processing for augmenting patient monitoring through automation and anomaly detection and predictive health insight. Blockchain innovation for secure data sharing, AI-driven virtual health assistants, and adaptive AI for personalized management have also led to an increase in software adoption within the RPM market. The other factor is growing adoption of cloud-based solutions, as well as telemedicine services, that continues to expand this software segment. So, the continued growth in such healthcare systems by using data-based decision-making creates a high requirement for complex and efficient software products to manage a patient’s details.
Based on geography, remote patient monitoring using AI is categorized into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The North America region accounts for the largest market share of AI in remote patient monitoring. North America has robust healthcare infrastructure, high per-capita healthcare expenditures, and far-reaching regulatory frameworks in favor of digital health products. The region is backed by widespread adoption of AI-based predictive analytics, real-time patient tracking via ML-based algorithms, and Internet of Medical Things (IoMT) device connectivity. AI application governance programs like the Digital Health Center of Excellence, launched by the Food and Drug Administration and Office of the National Coordinator for Health Information Technology were so aligned with interoperability definitions that they hastened their adoption. With a 2025 ruling, Medicare engages advanced primary care management to change the delivery fee-for-service.
Key players in the remote patient monitoring market include Koninklijke Philips N.V. (Netherlands), Medtronic (Ireland), OMRON Healthcare, Inc. (Japan), GE HealthCare (US), Boston Scientific Corporation (US), NIHON KOHDEN CORPORATION (Japan), ResMed (US), and F. Hoffmann-La Roche Ltd (Roche Diagnostics) (Switzerland), and among others.
These players not only have a comprehensive and diverse product portfolio but also a strong geographic presence. Owing to the rapid adoption of remote patient monitoring solutions among individual users and healthcare providers, these players can focus on technologies and offerings dedicated to enhancing patient outcomes and reducing healthcare costs through data-driven insights and real-time monitoring capabilities.
These market players have offered a diverse range of products and services and have operations worldwide. They rely on technological advancements to avail themselves of innovative products and services and increase their global footprint. These players focus on as product launches, approvals and enhancements and investments, partnerships, collaborations, acquisitions, expansions, funding, grant, agreements, sales contracts, product testing, FDA approval, product approval, and alliances, and other recent developments to expand their global reach and develop innovative AI in remote patient monitoring solutions.
