Artificial Intelligence in Remote Patient Monitoring Market to Grow with a CAGR of 28.01% through 2030
Growing demand
for virtual care solutions and chronic disease management through connected
devices, is expected to drive the Global Artificial Intelligence in Remote
Patient Monitoring Market growth in the forecast period, 2026-2030
According to TechSci
Research report, “Artificial Intelligence in Remote Patient Monitoring
Market – Global Industry Size, Share, Trends, Competition Forecast &
Opportunities, 2030F”, the Global Artificial Intelligence in Remote Patient
Monitoring Market stood at USD
2.14 Billion in 2024 and is expected to reach USD 9.43 Billion by
2030 with a CAGR of 28.01% during the forecast period. The Global Artificial Intelligence in
Remote Patient Monitoring Market is gaining traction as healthcare providers
prioritize continuous care models and outcome-based treatment protocols. AI
facilitates dynamic monitoring by adapting to patient-specific patterns,
ensuring more tailored intervention strategies. Increasing investments from
both public and private sectors into digital health infrastructure are
supporting the adoption of AI-integrated RPM solutions. Growing awareness of
preventive healthcare, especially among aging populations, is prompting higher
engagement with smart monitoring technologies. The rise of patient-centric platforms
that integrate AI with real-time communication tools is accelerating the
transition from episodic to continuous care delivery.
Innovative
use cases are emerging as AI capabilities expand beyond traditional monitoring
to include behavioral analytics, emotional state tracking, and medication
adherence. Voice-assisted technologies and smart sensors embedded in home
environments are enhancing user convenience while generating actionable health
data. AI is also being integrated with virtual nursing assistants and digital
therapeutics, broadening the scope of remote monitoring from purely
physiological tracking to comprehensive wellness management. Advanced edge
computing and federated learning techniques are being explored to improve
responsiveness and protect user privacy without compromising analytical power.
These developments are reshaping the landscape of remote care with smarter,
more autonomous systems.
The
market presents significant growth opportunities through AI-enhanced remote
monitoring for mental health, rehabilitation, and post-operative recovery.
Expanding applications in pediatric care and women’s health offer new avenues
for product development. The integration of generative AI into clinical
decision support tools can further optimize patient stratification and
engagement strategies. Expanding the use of AI to analyze unstructured data
such as speech, video, or clinician notes will enhance contextual understanding
in RPM systems. Partnerships between tech startups and healthcare institutions
are expected to accelerate the commercialization of niche solutions tailored to
specific patient demographics, opening up new revenue streams and driving long-term
market growth.
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"Global Artificial Intelligence in Remote Patient Monitoring Market”
The Global Artificial
Intelligence in Remote Patient Monitoring Market is segmented into component,
clinical application, end user, regional distribution, and company.
Based on the Clinical
Application, Mental Health & Behavioral Monitoring emerged as the fastest
growing segment in the Global Artificial Intelligence in Remote Patient
Monitoring Market during the forecast period. This is driven by the escalating global mental
health crisis and the critical need for continuous, non-invasive monitoring
solutions. The segment's rapid growth reflects the healthcare industry's shift
toward addressing depression, anxiety, and PTSD through AI-powered wearables
and mobile apps that analyze speech patterns, sleep quality, physical activity,
and physiological markers like heart rate variability. These technologies
enable early detection of mood disorders and relapse prevention, particularly
valuable in post-pandemic recovery scenarios where mental health services
remain overburdened.
Based
on the Region, Asia-Pacific emerged as the fastest growing region in the Global
Artificial Intelligence in Remote Patient Monitoring Market during the forecast period. The region's
growth is propelled by significant investments in healthcare AI infrastructure
and strategic partnerships between global tech firms and local providers.
APAC's large, tech-savvy population has shown remarkable willingness to adopt
wearable health devices, creating a robust foundation for AI-RPM solutions.
Unlike mature markets, many APAC countries are leapfrogging legacy systems to
implement cutting-edge AI/cloud-based RPM platforms directly. China's
"Internet + Healthcare" policy and India's National Digital Health
Mission are creating standardized frameworks for remote monitoring adoption.
Moreover, the region's cost advantages in AI development and manufacturing
enable more affordable RPM solutions compared to Western markets.
Major
companies operating in Global Artificial Intelligence in Remote Patient
Monitoring Market are:
- BioIntelliSense
- Jorie
Healthcare Partners
- HealthSnap,
Inc.
- CompuGroup
Medical
- Kakao
Healthcare Corp.
- Powerful
Medical
- Viatom
Technology Co., Ltd.
- AliveCor,
Inc.
- Credo
Health AI
- Center
Health
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“The Global Artificial Intelligence in
Remote Patient Monitoring Market is expanding due to the increasing integration
of predictive analytics and machine learning algorithms into RPM systems,
enabling proactive care and early detection of disease exacerbations. These
AI-powered systems can analyze vast datasets from wearable devices and
biosensors in real-time, facilitating clinical decision-making without the need
for constant manual intervention. Hospitals and healthcare providers are
adopting such solutions to reduce hospital readmissions and optimize chronic
disease management, particularly for conditions like congestive heart failure,
diabetes, and COPD. Additionally, AI in RPM enhances personalized care delivery
by adjusting treatment plans based on dynamic patient data, which significantly
improves patient outcomes and operational efficiency. This paradigm shift from
reactive to preventive healthcare is fueling demand across developed and
emerging healthcare markets.,” said Mr. Karan Chechi, Research Director of TechSci
Research, a research-based management consulting firm.
“Artificial Intelligence in Remote Patient Monitoring Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (AI-enabled Devices, Software & Platform, Services), By 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), By End User (Hospitals & Health Systems, Home Healthcare Providers, Primary Care/Outpatient Clinics, Payers & Health Insurers, Healthcare Companies, Others), By Region and Competition, 2020-2030F”,
has evaluated the future growth potential of Global Artificial Intelligence in
Remote Patient Monitoring Market and provides statistics & information on
market size, structure and future market growth. The report intends to provide
cutting-edge market intelligence and help decision makers take sound investment
decisions. Besides, the report also identifies and analyzes the emerging trends
along with essential drivers, challenges, and opportunities in Global Artificial
Intelligence in Remote Patient Monitoring Market.
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