United States Artificial Intelligence in Remote Patient Monitoring Market to Grow with a CAGR of 26.12% through 2030
Expanding
telehealth infrastructure across the United States and growing demand for
personalized, AI-enabled remote care solutions, is expected to
drive the United States Artificial Intelligence in Remote Patient Monitoring
Market growth in the forecast period, 2026-2030
According to
TechSci Research report, “United States Artificial Intelligence in Remote
Patient Monitoring Market – By Region, Competition, Forecast &
Opportunities, 2030F”, the United States Artificial Intelligence in Remote
Patient Monitoring Market was valued at USD
856.03 Million in 2024 and is expected to reach USD 3449.21 Million by
2030 with a CAGR of 26.12%.
The United States Artificial Intelligence in Remote Patient Monitoring (RPM)
Market is witnessing rapid acceleration due to the increasing emphasis on
preventive healthcare and real-time patient engagement. As healthcare systems
transition from episodic care to continuous care delivery, AI-powered
monitoring tools are being deployed to track vital signs, behavioral patterns,
and medication adherence in patients with acute and chronic conditions. These
systems help clinicians intervene early, reducing emergency visits and
improving patient satisfaction. Hospitals and clinics are integrating AI into
their care coordination efforts to automate alerts, streamline clinical
decision-making, and ensure continuity of care. The adoption of AI in RPM also
supports workforce efficiency by reducing manual data entry and allowing care
teams to focus on high-risk patients.
One
of the defining trends shaping the market is the personalization of remote care
experiences through adaptive algorithms. AI platforms are being trained to
analyze patient-specific health data and customize monitoring plans based on
real-time behavior and physiological responses. Wearables, voice assistants,
and home health hubs are becoming smarter, capable of understanding patterns
and predicting deterioration with greater precision. As healthcare providers
expand services beyond traditional care settings, AI is playing a critical role
in improving access for rural and underserved populations. Partnerships between
technology firms and healthcare providers are also evolving to co-develop
platforms that combine medical-grade diagnostics with consumer-grade usability.
Growth
opportunities for this market are extensive. AI-driven RPM platforms are poised
to expand into emerging care areas such as oncology monitoring, mental health
tracking, and maternal health management. The rising number of remote clinical
trials and virtual health programs will also drive demand for AI-enabled
monitoring systems that can deliver high-quality data outside traditional trial
sites. Integration with electronic prescribing, home diagnostics, and
behavioral coaching apps presents further room for ecosystem expansion. As AI
capabilities continue to advance, the RPM market is expected to evolve toward
fully automated, patient-centric care models that improve long-term outcomes
and reduce healthcare expenditures across the system.
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United
States 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 United States Artificial Intelligence in Remote Patient
Monitoring Market during the forecast period. This is driven by the escalating 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, West emerged as the fastest growing region in the United
States Artificial Intelligence in Remote Patient Monitoring Market during the forecast period. This growth
is fueled by the region’s strong emphasis on digital health innovation, a high
concentration of technology companies, and progressive healthcare systems that
are quick to adopt emerging technologies. States like California, Washington,
and Colorado have become hubs for health tech startups and large healthcare
providers implementing AI-powered RPM platforms to manage chronic disease,
track patient recovery, and enable decentralized care models. These initiatives
are supported by a robust digital infrastructure, favorable reimbursement
frameworks, and a population that is more receptive to virtual health services
and wearable health devices. Healthcare systems in the West are increasingly
investing in AI-enabled monitoring tools that integrate seamlessly with
electronic health records and telehealth platforms.
Major
companies operating in United States 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 United States 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.
“United States Artificial
Intelligence in Remote Patient Monitoring Market 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, Competition, Forecast & Opportunities, 2020-2030F”,
has evaluated the future growth potential of United States 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 United States Artificial Intelligence in Remote Patient
Monitoring Market.
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