원격 환자 모니터링용 인공지능 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측, 컴포넌트별, 임상 용도별, 최종사용자별, 지역별, 경쟁별(2020-2030년)
Artificial Intelligence in Remote Patient Monitoring Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Clinical Application, By End User, By Region and Competition, 2020-2030F
세계의 원격 환자 모니터링용 인공지능 시장 규모는 2024년에 21억 4,000만 달러, 2030년에는 94억 3,000만 달러에 달하며, CAGR 28.01%로 성장할 것으로 예측됩니다.
AI 기반 원격 환자 모니터링(RPM) 기술은 실시간 활력 징후와 건강 지표를 추적하여 합병증을 조기에 발견하고 입원율을 낮추기 위해 AI를 활용한 원격 환자 모니터링(RPM) 기술을 활용하고 있습니다. 합병증을 조기에 발견하고 입원을 줄일 수 있습니다. 이러한 솔루션은 심혈관 질환, 당뇨병, 고혈압과 같은 만성질환 관리에 특히 중요합니다. AI는 데이터 분석을 강화하고, 예측 진단을 지원하며, 시스템의 정확성과 반응성을 향상시켜 임상적 의사결정을 촉진하기 위해 데이터 분석을 강화하고, 예측 진단을 지원하며, 시스템의 정확성과 반응성을 향상시켜 임상적 의사결정을 촉진하는 것이 주요 성장 요인입니다. 클라우드 기반 플랫폼의 채택, 웨어러블 기술과의 통합, 하이테크 기업 및 의료 서비스 프로바이더와의 전략적 제휴는 지능형 환자 중심 치료 제공 모델로 시장 전환을 더욱 두드러지게 하고 있습니다.
| 시장 개요 |
| 예측 기간 |
2026-2030 |
| 시장 규모 : 2024년 |
21억 4,000만 달러 |
| 시장 규모 : 2030년 |
94억 3,000만 달러 |
| CAGR : 2025-2030년 |
28.01% |
| 급성장 부문 |
정신건강과 행동 모니터링 |
| 최대 시장 |
북미 |
시장 성장 촉진요인
만성질환 유병률 증가
주요 시장 이슈
데이터 프라이버시, 보안, 환자의 동의에 대한 우려
주요 시장 동향
웨어러블 및 커넥티드 헬스 디바이스와 AI의 통합
목차
제1장 개요
제2장 조사 방법
제3장 개요
제4장 고객의 소리
제5장 세계의 원격 환자 모니터링용 인공지능 시장 전망
- 시장 규모·예측
- 시장 점유율·예측
- 컴포넌트별(AI 대응 디바이스, 소프트웨어와 플랫폼, 서비스)
- 임상 용도별(심혈관모니터링, 당뇨병 관리, 호흡 모니터링, 종양 원격 모니터링, 정신건강 및 행동 모니터링, 수술후 및 재택 회복, 고령자/허약 환자 모니터링, 수면장애 및 신경 모니터링, 기타)
- 최종사용자별(병원 및 의료 시스템, 재택 헬스케어 프로바이더, 1차 의료/외래 진료소, 보험자 및 건강보험 회사, 헬스케어 회사, 기타)
- 기업별(2024)
- 지역별
- 시장 맵
제6장 북미의 원격 환자 모니터링용 인공지능 시장 전망
- 시장 규모·예측
- 시장 점유율·예측
- 북미 : 국가별 분석
제7장 유럽의 원격 환자 모니터링용 인공지능 시장 전망
- 시장 규모·예측
- 시장 점유율·예측
- 유럽 : 국가별 분석
제8장 아시아태평양의 원격 환자 모니터링용 인공지능 시장 전망
- 시장 규모·예측
- 시장 점유율·예측
- 아시아태평양 : 국가별 분석
제9장 남미의 원격 환자 모니터링용 인공지능 시장 전망
- 시장 규모·예측
- 시장 점유율·예측
- 남미 : 국가별 분석
제10장 중동 및 아프리카의 원격 환자 모니터링용 인공지능 시장 전망
- 시장 규모·예측
- 시장 점유율·예측
- 중동 및 아프리카 : 국가별 분석
제11장 시장 역학
제12장 시장 동향과 발전
제13장 혼란 : 분쟁, 팬데믹, 무역장벽
제14장 Porter's Five Forces 분석
- 업계내 경쟁
- 신규 참여의 가능성
- 공급업체의 힘
- 고객의 힘
- 대체품의 위협
제15장 경쟁 구도
- BioIntelliSense
- Jorie Healthcare Partners
- HealthSnap, Inc.
- CompuGroup Medical
- Kakao Healthcare Corp.
- Powerful Medical
- Viatom Technology Co., Ltd.
- AliveCor, Inc.
- Credo Health AI
- Center Health
제16장 전략적 제안
제17장 조사회사 소개·면책사항
KSA
The Global Artificial Intelligence in Remote Patient Monitoring Market was valued at USD 2.14 Billion in 2024 and is anticipated to reach USD 9.43 Billion by 2030, growing at a CAGR of 28.01%. This market is witnessing strong momentum as healthcare systems adopt digital innovations aimed at delivering proactive, continuous care. AI-powered remote patient monitoring (RPM) technologies enable real-time tracking of vital signs and health metrics, offering early detection of complications and reducing hospital admissions. These solutions are especially critical in managing chronic conditions such as cardiovascular diseases, diabetes, and hypertension. Key growth drivers include rising healthcare costs, clinician shortages, and a global shift toward personalized and value-based care. AI enhances data interpretation, supports predictive diagnostics, and drives clinical decision-making by improving system accuracy and responsiveness. The adoption of cloud-based platforms, integration with wearable technologies, and strategic collaborations between tech firms and healthcare providers further underscore the market's transition to intelligent, patient-centric care delivery models.
| Market Overview |
|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 2.14 Billion |
| Market Size 2030 | USD 9.43 Billion |
| CAGR 2025-2030 | 28.01% |
| Fastest Growing Segment | Mental Health & Behavioral Monitoring |
| Largest Market | North America |
Key Market Drivers
Rising Prevalence of Chronic Diseases
The escalating global burden of chronic diseases is a major driver for the Artificial Intelligence in Remote Patient Monitoring Market. According to the World Health Organization, chronic diseases accounted for 74% of global deaths in 2023, with cardiovascular illnesses, cancer, diabetes, and respiratory disorders at the forefront. In the United States, the CDC reports that 6 in 10 adults have at least one chronic condition, while 4 in 10 suffer from two or more. These patients require ongoing health monitoring and early interventions to prevent complications and reduce hospital admissions. Traditional healthcare models often fall short in providing continuous oversight, highlighting the urgent need for advanced, AI-integrated RPM systems that ensure timely alerts and actionable insights, ultimately improving care outcomes.
Key Market Challenges
Concerns Around Data Privacy, Security, and Patient Consent
Data privacy and security remain significant barriers in the Artificial Intelligence in Remote Patient Monitoring Market. AI-based RPM solutions collect vast volumes of sensitive health data-including physiological and behavioral patterns-raising concerns over data misuse, unauthorized access, and regulatory compliance. Strict data protection laws such as GDPR and HIPAA enforce complex standards for handling and sharing patient information, placing added burdens on system developers and providers. Cloud-based infrastructures and third-party AI algorithms further increase the risk of cyber threats, including ransomware attacks that can disrupt patient care and compromise data integrity. Informed patient consent is another challenge, especially when continuous data sharing across multiple stakeholders is required. Many patients lack clarity about how their data is used, creating mistrust and hesitancy toward adoption.
Key Market Trends
Integration of AI with Wearable and Connected Health Devices
A key trend driving the market is the growing integration of AI with wearable and connected health devices. These next-generation tools-ranging from smartwatches to biosensor-embedded garments-leverage AI to analyze real-time biometric data such as heart rate, blood oxygen levels, and electrodermal activity. Beyond fitness tracking, these devices now offer clinical-grade diagnostics and predictive analytics, empowering healthcare providers with continuous and personalized patient insights. The incorporation of edge computing allows data processing on the device itself, ensuring faster responses and enhanced privacy. Advances in 5G technology support seamless data transmission, while AI algorithms tailor health alerts and recommendations based on individual patient profiles. This convergence of wearables, AI, and cloud infrastructure is redefining RPM as a core element of modern, decentralized healthcare delivery.
Key Market Players
- BioIntelliSense
- Jorie Healthcare Partners
- HealthSnap, Inc.
- CompuGroup Medical
- Kakao Healthcare Corp.
- Powerful Medical
- Viatom Technology Co., Ltd.
- AliveCor, Inc.
- Credo Health AI
- Center Health
Report Scope:
In this report, the Global Artificial Intelligence in Remote Patient Monitoring Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Artificial Intelligence in Remote Patient Monitoring Market, By Component:
- AI-enabled Devices
- Software & Platform
- Services
Artificial Intelligence in Remote Patient Monitoring Market, 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
Artificial Intelligence in Remote Patient Monitoring Market, By End User:
- Hospitals & Health Systems
- Home Healthcare Providers
- Primary Care/Outpatient Clinics
- Payers & Health Insurers
- Healthcare Companies
- Others
Artificial Intelligence in Remote Patient Monitoring Market, By Region:
- North America
- United States
- Canada
- Mexico
- Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
- Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
- South America
- Brazil
- Argentina
- Colombia
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence in Remote Patient Monitoring Market.
Available Customizations:
Global Artificial Intelligence in Remote Patient Monitoring Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Product Overview
- 1.1. Market Definition
- 1.2. Scope of the Market
- 1.2.1. Markets Covered
- 1.2.2. Years Considered for Study
- 1.2.3. Key Market Segmentations
2. Research Methodology
- 2.1. Objective of the Study
- 2.2. Baseline Methodology
- 2.3. Key Industry Partners
- 2.4. Major Association and Secondary Sources
- 2.5. Forecasting Methodology
- 2.6. Data Triangulation & Validation
- 2.7. Assumptions and Limitations
3. Executive Summary
- 3.1. Overview of the Market
- 3.2. Overview of Key Market Segmentations
- 3.3. Overview of Key Market Players
- 3.4. Overview of Key Regions/Countries
- 3.5. Overview of Market Drivers, Challenges, and Trends
4. Voice of Customer
5. Global Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 5.1. Market Size & Forecast
- 5.2. Market Share & Forecast
- 5.2.1. By Component (AI-enabled Devices, Software & Platform, Services)
- 5.2.2. 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)
- 5.2.3. By End User (Hospitals & Health Systems, Home Healthcare Providers, Primary Care/Outpatient Clinics, Payers & Health Insurers, Healthcare Companies, Others)
- 5.2.4. By Company (2024)
- 5.2.5. By Region
- 5.3. Market Map
6. North America Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 6.1. Market Size & Forecast
- 6.2. Market Share & Forecast
- 6.2.1. By Component
- 6.2.2. By Clinical Application
- 6.2.3. By End User
- 6.2.4. By Country
- 6.3. North America: Country Analysis
- 6.3.1. United States Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 6.3.1.1. Market Size & Forecast
- 6.3.1.2. Market Share & Forecast
- 6.3.1.2.1. By Component
- 6.3.1.2.2. By Clinical Application
- 6.3.1.2.3. By End User
- 6.3.2. Mexico Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 6.3.2.1. Market Size & Forecast
- 6.3.2.2. Market Share & Forecast
- 6.3.2.2.1. By Component
- 6.3.2.2.2. By Clinical Application
- 6.3.2.2.3. By End User
- 6.3.3. Canada Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 6.3.3.1. Market Size & Forecast
- 6.3.3.2. Market Share & Forecast
- 6.3.3.2.1. By Component
- 6.3.3.2.2. By Clinical Application
- 6.3.3.2.3. By End User
7. Europe Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 7.1. Market Size & Forecast
- 7.2. Market Share & Forecast
- 7.2.1. By Component
- 7.2.2. By Clinical Application
- 7.2.3. By End User
- 7.2.4. By Country
- 7.3. Europe: Country Analysis
- 7.3.1. France Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 7.3.1.1. Market Size & Forecast
- 7.3.1.2. Market Share & Forecast
- 7.3.1.2.1. By Component
- 7.3.1.2.2. By Clinical Application
- 7.3.1.2.3. By End User
- 7.3.2. Germany Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 7.3.2.1. Market Size & Forecast
- 7.3.2.2. Market Share & Forecast
- 7.3.2.2.1. By Component
- 7.3.2.2.2. By Clinical Application
- 7.3.2.2.3. By End User
- 7.3.3. United Kingdom Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 7.3.3.1. Market Size & Forecast
- 7.3.3.2. Market Share & Forecast
- 7.3.3.2.1. By Component
- 7.3.3.2.2. By Clinical Application
- 7.3.3.2.3. By End User
- 7.3.4. Italy Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 7.3.4.1. Market Size & Forecast
- 7.3.4.2. Market Share & Forecast
- 7.3.4.2.1. By Component
- 7.3.4.2.2. By Clinical Application
- 7.3.4.2.3. By End User
- 7.3.5. Spain Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 7.3.5.1. Market Size & Forecast
- 7.3.5.2. Market Share & Forecast
- 7.3.5.2.1. By Component
- 7.3.5.2.2. By Clinical Application
- 7.3.5.2.3. By End User
8. Asia-Pacific Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 8.1. Market Size & Forecast
- 8.2. Market Share & Forecast
- 8.2.1. By Component
- 8.2.2. By Clinical Application
- 8.2.3. By End User
- 8.2.4. By Country
- 8.3. Asia-Pacific: Country Analysis
- 8.3.1. China Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 8.3.1.1. Market Size & Forecast
- 8.3.1.2. Market Share & Forecast
- 8.3.1.2.1. By Component
- 8.3.1.2.2. By Clinical Application
- 8.3.1.2.3. By End User
- 8.3.2. India Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 8.3.2.1. Market Size & Forecast
- 8.3.2.2. Market Share & Forecast
- 8.3.2.2.1. By Component
- 8.3.2.2.2. By Clinical Application
- 8.3.2.2.3. By End User
- 8.3.3. South Korea Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 8.3.3.1. Market Size & Forecast
- 8.3.3.2. Market Share & Forecast
- 8.3.3.2.1. By Component
- 8.3.3.2.2. By Clinical Application
- 8.3.3.2.3. By End User
- 8.3.4. Japan Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 8.3.4.1. Market Size & Forecast
- 8.3.4.2. Market Share & Forecast
- 8.3.4.2.1. By Component
- 8.3.4.2.2. By Clinical Application
- 8.3.4.2.3. By End User
- 8.3.5. Australia Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 8.3.5.1. Market Size & Forecast
- 8.3.5.2. Market Share & Forecast
- 8.3.5.2.1. By Component
- 8.3.5.2.2. By Clinical Application
- 8.3.5.2.3. By End User
9. South America Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 9.1. Market Size & Forecast
- 9.2. Market Share & Forecast
- 9.2.1. By Component
- 9.2.2. By Clinical Application
- 9.2.3. By End User
- 9.2.4. By Country
- 9.3. South America: Country Analysis
- 9.3.1. Brazil Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 9.3.1.1. Market Size & Forecast
- 9.3.1.2. Market Share & Forecast
- 9.3.1.2.1. By Component
- 9.3.1.2.2. By Clinical Application
- 9.3.1.2.3. By End User
- 9.3.2. Argentina Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 9.3.2.1. Market Size & Forecast
- 9.3.2.2. Market Share & Forecast
- 9.3.2.2.1. By Component
- 9.3.2.2.2. By Clinical Application
- 9.3.2.2.3. By End User
- 9.3.3. Colombia Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 9.3.3.1. Market Size & Forecast
- 9.3.3.2. Market Share & Forecast
- 9.3.3.2.1. By Component
- 9.3.3.2.2. By Clinical Application
- 9.3.3.2.3. By End User
10. Middle East and Africa Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 10.1. Market Size & Forecast
- 10.2. Market Share & Forecast
- 10.2.1. By Component
- 10.2.2. By Clinical Application
- 10.2.3. By End User
- 10.2.4. By Country
- 10.3. MEA: Country Analysis
- 10.3.1. South Africa Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 10.3.1.1. Market Size & Forecast
- 10.3.1.2. Market Share & Forecast
- 10.3.1.2.1. By Component
- 10.3.1.2.2. By Clinical Application
- 10.3.1.2.3. By End User
- 10.3.2. Saudi Arabia Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 10.3.2.1. Market Size & Forecast
- 10.3.2.2. Market Share & Forecast
- 10.3.2.2.1. By Component
- 10.3.2.2.2. By Clinical Application
- 10.3.2.2.3. By End User
- 10.3.3. UAE Artificial Intelligence in Remote Patient Monitoring Market Outlook
- 10.3.3.1. Market Size & Forecast
- 10.3.3.2. Market Share & Forecast
- 10.3.3.2.1. By Component
- 10.3.3.2.2. By Clinical Application
- 10.3.3.2.3. By End User
11. Market Dynamics
- 11.1. Drivers
- 11.2. Challenges
12. Market Trends & Developments
- 12.1. Merger & Acquisition (If Any)
- 12.2. Product Launches (If Any)
- 12.3. Recent Developments
13. Disruptions: Conflicts, Pandemics and Trade Barriers
14. Porters Five Forces Analysis
- 14.1. Competition in the Industry
- 14.2. Potential of New Entrants
- 14.3. Power of Suppliers
- 14.4. Power of Customers
- 14.5. Threat of Substitute Products
15. Competitive Landscape
- 15.1. BioIntelliSense
- 15.1.1. Business Overview
- 15.1.2. Company Snapshot
- 15.1.3. Products & Services
- 15.1.4. Financials (As Reported)
- 15.1.5. Recent Developments
- 15.1.6. Key Personnel Details
- 15.1.7. SWOT Analysis
- 15.2. Jorie Healthcare Partners
- 15.3. HealthSnap, Inc.
- 15.4. CompuGroup Medical
- 15.5. Kakao Healthcare Corp.
- 15.6. Powerful Medical
- 15.7. Viatom Technology Co., Ltd.
- 15.8. AliveCor, Inc.
- 15.9. Credo Health AI
- 15.10. Center Health
16. Strategic Recommendations
17. About Us & Disclaimer
