遠隔患者モニタリングにおける人工知能市場- 世界の産業規模、シェア、動向、機会、予測、コンポーネント別、臨床用途別、エンドユーザー別、地域別、競合別、2020～2030年

遠隔患者モニタリングにおける人工知能の世界市場規模は2024年に21億4,000万米ドル、2030年には94億3,000万米ドルに達し、CAGR 28.01％で成長すると予測されています。

この市場は、ヘルスケアシステムがプロアクティブで継続的なケアを提供することを目的としたデジタルイノベーションを採用することで、強い勢いを目の当たりにしています。AIを活用した遠隔患者モニタリング（RPM）技術は、バイタルサインや健康指標のリアルタイム追跡を可能にし、合併症の早期発見や入院の減少を実現します。これらのソリューションは、心血管疾患、糖尿病、高血圧などの慢性疾患の管理において特に重要です。主な成長促進要因としては、ヘルスケアコストの上昇、臨床医不足、個別化された価値ベースのケアへの世界のシフトが挙げられます。AIはデータの解釈を強化し、予測診断をサポートし、システムの精度と応答性を向上させることで臨床的意思決定を促進します。クラウドベースのプラットフォームの採用、ウェアラブル技術との統合、ハイテク企業とヘルスケアプロバイダーとの戦略的提携は、インテリジェントで患者中心のケア提供モデルへの市場の移行をさらに際立たせています。

市場促進要因

慢性疾患の有病率の上昇

主な市場課題

データプライバシー、セキュリティ、患者の同意に関する懸念

主要市場動向

ウェアラブルおよびコネクテッドヘルスデバイスとAIの統合

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の遠隔患者モニタリングにおける人工知能市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別（AI対応デバイス、ソフトウェアとプラットフォーム、サービス）
  • 臨床用途別（心血管モニタリング、糖尿病管理、呼吸モニタリング、腫瘍遠隔モニタリング、メンタルヘルスおよび行動モニタリング、術後および在宅回復、高齢者/虚弱患者モニタリング、睡眠障害および神経モニタリング、その他）
  • エンドユーザー別（病院および医療システム、在宅ヘルスケア提供者、プライマリケア/外来診療所、保険者および健康保険会社、ヘルスケア会社、その他）
  • 企業別（2024）
  • 地域別
• 市場マップ

第6章 北米の遠隔患者モニタリングにおける人工知能市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • メキシコ
  • カナダ

第7章 欧州の遠隔患者モニタリングにおける人工知能市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • フランス
  • ドイツ
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域の遠隔患者モニタリングにおける人工知能市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 韓国
  • 日本
  • オーストラリア

第9章 南米の遠隔患者モニタリングにおける人工知能市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第10章 中東・アフリカの遠隔患者モニタリングにおける人工知能市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 混乱：紛争、パンデミック、貿易障壁

第14章 ポーターのファイブフォース分析

• 業界内の競合
• 新規参入の可能性
• サプライヤーの力
• 顧客の力
• 代替品の脅威

第15章 競合情勢

• 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 戦略的提言

第17章 調査会社について・免責事項

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