远端病患监控市场中的人工智慧—全球产业规模、份额、趋势、机会和预测（按组件、按临床应用、按最终用户、按地区和竞争细分，2020 年至 2030 年）

2024年，全球远距病人监护人工智慧市场规模达21.4亿美元，预计到2030年将达到94.3亿美元，年复合成长率达28.01%。随着医疗保健系统采用旨在提供主动、持续护理的数位创新，该市场正呈现强劲发展势头。基于人工智慧的远距病人监护 (RPM) 技术能够即时追踪生命征象和健康指标，从而及早发现併发症并减少住院。这些解决方案对于管理心血管疾病、糖尿病和高血压等慢性疾病尤其重要。关键成长动力包括医疗成本上涨、临床医生短缺以及全球向个人化和价值导向医疗的转变。人工智慧透过提高系统准确性和反应速度，增强资料解读能力、支援预测性诊断并推动临床决策。云端平台的采用、与穿戴式科技的整合以及科技公司与医疗服务提供者之间的策略合作，进一步凸显了市场朝向智慧化、以病人为中心的医疗服务模式的转变。

关键市场驱动因素

慢性病盛行率上升

主要市场挑战

对资料隐私、安全和病患同意的担忧

主要市场趋势

人工智慧与穿戴式及互联健康设备的集成

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球远端患者监控人工智慧市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按组件（支援人工智慧的设备、软体和平台、服务）
  • 按临床应用（心血管监测、糖尿病管理、呼吸监测、肿瘤远端监测、心理健康和行为监测、术后和家庭復健、老年/体弱患者监测、睡眠障碍和神经系统监测、其他）
  • 按最终用户（医院和医疗系统、家庭医疗保健提供者、初级保健/门诊诊所、付款人和健康保险公司、医疗保健公司、其他）
  • 按公司分类（2024）
  • 按地区
• 市场地图

第六章：北美远距病人监控人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 墨西哥
  • 加拿大

第七章：欧洲远距病人监控人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 法国
  • 德国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区远距病人监控人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 韩国
  • 日本
  • 澳洲

第九章：南美洲远距病人监控人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 阿根廷
  • 哥伦比亚

第十章：中东和非洲远距病人监控人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• MEA：国家分析
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：干扰：衝突、流行病与贸易壁垒

第 14 章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商的力量
• 顾客的力量
• 替代产品的威胁

第 15 章：竞争格局

• BioIntelliSense
• Jorie Healthcare Partners
• HealthSnap, Inc.
• CompuGroup Medical
• Kakao Healthcare Corp.
• Powerful Medical
• Viatom Technology Co., Ltd.
• AliveCor, Inc.
• Credo Health AI
• Center Health

第 16 章：策略建议

第17章调查会社について・免责事项

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.

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
  • 5.1.1. By Value
• 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
  • 6.1.1. By Value
• 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
      • 6.3.1.1.1. By Value
    • 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
      • 6.3.2.1.1. By Value
    • 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
      • 6.3.3.1.1. By Value
    • 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
  • 7.1.1. By Value
• 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
      • 7.3.1.1.1. By Value
    • 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
      • 7.3.2.1.1. By Value
    • 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
      • 7.3.3.1.1. By Value
    • 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
      • 7.3.4.1.1. By Value
    • 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
      • 7.3.5.1.1. By Value
    • 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
  • 8.1.1. By Value
• 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
      • 8.3.1.1.1. By Value
    • 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
      • 8.3.2.1.1. By Value
    • 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
      • 8.3.3.1.1. By Value
    • 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
      • 8.3.4.1.1. By Value
    • 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
      • 8.3.5.1.1. By Value
    • 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
  • 9.1.1. By Value
• 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
      • 9.3.1.1.1. By Value
    • 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
      • 9.3.2.1.1. By Value
    • 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
      • 9.3.3.1.1. By Value
    • 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
  • 10.1.1. By Value
• 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
      • 10.3.1.1.1. By Value
    • 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
      • 10.3.2.1.1. By Value
    • 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
      • 10.3.3.1.1. By Value
    • 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