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1748714

遠端病患監控市場中的人工智慧—全球產業規模、佔有率、趨勢、機會和預測（按組件、按臨床應用、按最終用戶、按地區和競爭細分，2020 年至 2030 年）

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
出版日期: | 出版商: TechSci Research | 英文 184 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年，全球遠距病人監護人工智慧市場規模達21.4億美元，預計到2030年將達到94.3億美元，年複合成長率達28.01%。隨著醫療保健系統採用旨在提供主動、持續護理的數位創新，該市場正呈現強勁發展勢頭。基於人工智慧的遠距病人監護 (RPM) 技術能夠即時追蹤生命徵象和健康指標，從而及早發現併發症並減少住院。這些解決方案對於管理心血管疾病、糖尿病和高血壓等慢性疾病尤其重要。關鍵成長動力包括醫療成本上漲、臨床醫生短缺以及全球向個人化和價值導向醫療的轉變。人工智慧透過提高系統準確性和反應速度，增強資料解讀能力、支援預測性診斷並推動臨床決策。雲端平台的採用、與穿戴式科技的整合以及科技公司與醫療服務提供者之間的策略合作，進一步凸顯了市場朝向智慧化、以病人為中心的醫療服務模式的轉變。

市場概覽
預測期 2026-2030
2024年市場規模 21.4億美元
2030年市場規模 94.3億美元
2025-2030 年複合年成長率 28.01%
成長最快的領域 心理健康與行為監測
最大的市場 北美洲

關鍵市場促進因素

慢性病盛行率上升

主要市場挑戰

對資料隱私、安全和病患同意的擔憂

主要市場趨勢

人工智慧與穿戴式及互聯健康設備的整合

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球遠端患者監控人工智慧市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 按組件（支援人工智慧的設備、軟體和平台、服務）
    • 按臨床應用（心血管監測、糖尿病管理、呼吸監測、腫瘤遠端監測、心理健康和行為監測、術後和家庭復健、老年/體弱患者監測、睡眠障礙和神經系統監測、其他）
    • 按最終用戶（醫院和醫療系統、家庭醫療保健提供者、初級保健/門診診所、付款人和健康保險公司、醫療保健公司、其他）
    • 按公司分類（2024）
    • 按地區
  • 市場地圖

第6章：北美遠距病人監控人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 墨西哥
    • 加拿大

第7章：歐洲遠距病人監控人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 法國
    • 德國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區遠距病人監控人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 韓國
    • 日本
    • 澳洲

第9章：南美洲遠距病人監控人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第10章：中東和非洲遠距病人監控人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • MEA：國家分析
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：干擾：衝突、流行病與貿易壁壘

第 14 章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的力量
  • 顧客的力量
  • 替代產品的威脅

第 15 章：競爭格局

  • 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：策略建議

第17章調查會社について,免責事項

簡介目錄
Product Code: 29555

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 Period2026-2030
Market Size 2024USD 2.14 Billion
Market Size 2030USD 9.43 Billion
CAGR 2025-203028.01%
Fastest Growing SegmentMental Health & Behavioral Monitoring
Largest MarketNorth 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
    • 5.1.1. 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