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商品編碼

1880432

以慢性病管理為導向的物聯網醫療生態系統市場預測至2032年：按設備類型、連接方式、性別、應用、最終用戶和地區分類的全球分析

IoMT Ecosystem for Chronic Care Market Forecasts to 2032 - Global Analysis By Device Type, Connectivity, Application, End User, and By Geography

出版日期: 2025年11月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的研究，全球用於慢性病管理的 IoMT 生態系統市場預計到 2025 年價值 1,094 億美元，預計到 2032 年將達到 3,699 億美元，在預測期內以 19% 的複合年成長率成長。

用於慢性病管理的物聯網醫療（IoMT）生態系統由互聯的醫療設備、穿戴式裝置、感測器和軟體平台組成，這些設備持續監測患者健康狀況、傳輸數據，並實現對慢性病的主動遠端系統管理。透過將即時患者數據與醫療服務提供者網路整合，物聯網醫療能夠實現早期療育、個人化的治療策略、降低住院率，並最佳化慢性病管理中的資源配置。

根據美國食品藥物管理局(FDA) 數位健康卓越中心的說法，互聯的 IoMT 設備將產生持續的數據流，使人工智慧能夠預測和預防糖尿病和心臟衰竭患者在家中的急性發作。

加速採用持續性疾病管理

隨著病患、醫療服務提供者和支付方紛紛接受針對慢性病的互聯互通的診療路徑，持續疾病管理模式的加速普及正在改變著醫療物聯網（IoMT）的格局。持續監測能夠實現早期療育，減少住院次數，並支持個人化治療方案的調整。醫療系統正擴大部署配備感測器的穿戴式設備、智慧診斷設備和遠端生物標記追蹤器，以維持長期的健康監測。這種向持續診療模式的轉變將顯著擴大IoMT的應用範圍，並加強慢性疾病患者群體中以設備主導的、強力的參與。

物聯網醫療互通性框架的碎片化

物聯網互通性框架的分散化促使各公司加強設備和平台之間的相容性，同時也推動了對標準化通訊協定的投資。儘管不同的資料模型增加了整合的複雜性，但也促進了統一API、安全中間件層和跨廠商互通性的發展。這些進步正在建立一個更具凝聚力的生態系統，並實現慢性病護理工作流程中的無縫資料交換。隨著協調性的提高，市場將受益於更順暢的多設備整合和更高的臨床應用率。

人工智慧驅動的慢性病管理的發展

人工智慧驅動的慢性病管理技術的快速發展為預測風險評分、自動化趨勢分析和智慧治療支援提供了巨大的機會。人工智慧增強的物聯網醫療設備能夠檢測細微的生理波動，從而實現對糖尿病、慢性阻塞性肺病和心血管疾病等疾病的早期療育。這些功能將增強醫護人員對遠端醫療模式的信心，同時也將促進病患的參與。隨著演算法的日益完善，人工智慧增強的慢性病照護生態系統有望成為現代醫療保健基礎設施的核心支柱。

大規模醫療保健資料外洩事件的增加

為因應全球醫療保健資料外洩事件的日益增多，網路安全強化型醫療物聯網（IoMT）架構的投資正在加速成長。這種日益成長的關注度正推動供應商採用生物識別、硬體安全防護和端到端加密技術。增強的隱私控制將提升醫療機構在實施慢性病管理網路時的信任度。在法規結構日益嚴格的背景下，製造商正透過安全設計平台實現差異化競爭，從而確保分散式病患監測系統的資料安全。

新冠疫情的影響：

感染疾病顯著加速了物聯網醫療（IoMT）在慢性病管理的應用，醫療系統紛紛擴展遠距離診斷、數位化分流和居家監測。長期病患者越來越依賴連網設備來避免前往醫療機構，從而推動了持久的行為改變。醫療服務提供者擴展了虛擬醫療基礎設施，並將物聯網醫療數據整合到臨床決策流程中。這種需求的激增為以設備為中心的慢性病管理生態系統注入了持續動力，並凸顯了分散式醫療服務的重要性。

預計在預測期內，遠端監控設備細分市場將佔據最大的市場佔有率。

由於穿戴式裝置、生物感測器和連網診斷設備在慢性病管理中的廣泛應用，預計遠端監測設備領域將在預測期內佔據最大的市場佔有率。這些設備能夠提供持續的生理數據、簡化追蹤流程並支持基於風險的干涉措施，從而不斷強化其在慢性病診療路徑中的作用。醫療系統和保險公司對這些設備的日益普及進一步鞏固了該領域在數位化醫療模式中的主導地位。

預計在預測期內，低功耗藍牙（BLE）細分市場將呈現最高的複合年成長率。

預計在預測期內，低功耗藍牙 (BLE) 細分市場將實現最高成長率，這主要得益於其超低功耗、與智慧型手機的無縫整合以及在以患者為中心的醫療設備中日益重要的作用。 BLE 連線增強了即時資料傳輸，同時延長了穿戴式感測器的電池續航時間。其經濟實惠的價格和全球相容性使其成為擴展醫療物聯網 (IoMT) 生態系統、為大規模慢性病患者提供醫療服務的首選方案。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，這主要得益於慢性病患病率的上升、數位醫療領域的快速投資以及政府主導的遠端醫療舉措。中國、印度、日本和韓國遠距醫療技術的日益普及正在推動物聯網醫療（IoMT）的滲透。大規模的患者群體和行動醫療使用量的不斷成長進一步鞏固了該地區在互聯慢性病管理領域的主導地位。

年複合成長率最高的地區：

由於監管機構對數位療法的大力支持、人工智慧增強型監測設備的快速普及以及不斷擴大的醫保報銷管道，預計北美地區在預測期內將實現最高的複合年成長率。高技術成熟度和成熟的醫療資訊科技生態系統正在加速慢性病照護網路中物聯網醫療平台的普及。醫療設備製造商和數位醫療公司的持續創新也進一步推動了這一發展勢頭。

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公司概況
- 對其他市場公司（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域細分
- 根據客戶要求，提供主要國家的市場估算和預測以及複合年成長率（註：可行性需確認）。
競爭基準化分析
- 根據主要企業的產品系列、地理覆蓋範圍和策略聯盟基準化分析

介紹
北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 亞太其他地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第10章：重大進展

協議、夥伴關係、合作和合資企業
收購與併購
新產品上市
業務拓展
其他關鍵策略

第11章企業概況

Philips
GE HealthCare
Medtronic
Dexcom
Siemens Healthineers
Abbott Laboratories
ResMed
Omron
Roche
Honeywell
BioTelemetry
Fitbit
AliveCor
Apple
Cerner
Epic Systems
Proteus Digital Health

簡介目錄圖表

Product Code: SMRC32471

According to Stratistics MRC, the Global IoMT Ecosystem for Chronic Care Market is accounted for $109.4 billion in 2025 and is expected to reach $369.9 billion by 2032 growing at a CAGR of 19% during the forecast period. The Internet of Medical Things (IoMT) ecosystem for chronic care comprises interconnected medical devices, wearables, sensors, and software platforms that continuously monitor patient health, transmit data, and facilitate proactive, remote management of chronic diseases. By integrating real-time patient data with healthcare provider networks, IoMT enables early intervention, personalized treatment strategies, reduced hospital admissions, and improved resource optimization in chronic disease management.

According to the FDA's Digital Health Center of Excellence, interconnected IoMT devices create continuous data streams for AI to predict and prevent acute episodes in diabetes and heart failure patients at home.

Market Dynamics:

Driver:

Accelerated adoption of continuous disease-management

Accelerated adoption of continuous disease-management models is reshaping the IoMT landscape as patients, providers, and payers embrace connected care pathways for chronic illnesses. Continuous monitoring enables earlier intervention, reduces hospitalizations, and supports personalized therapeutic adjustments. Healthcare systems are increasingly deploying sensorized wearables, smart diagnostics, and remote biomarker trackers to maintain longitudinal health oversight. This transition toward continuous care significantly expands IoMT utilization, reinforcing stable, device-driven engagement across chronic patient populations.

Restraint:

Fragmentation across IoMT interoperability frameworks

Fragmentation across IoMT interoperability frameworks is encouraging companies to strengthen device-to-platform compatibility while driving investment into standardized communication protocols. Although differing data models complicate integration, this challenge has spurred development of unified APIs, secure middleware layers, and cross-vendor interoperability coalitions. These advancements enhance ecosystem cohesion and facilitate seamless data exchange for chronic-care workflows. As harmonization improves, the market benefits from smoother multi-device orchestration and higher clinical adoption rates.

Opportunity:

Growth of AI-based chronic conditions

The rapid rise of AI-based chronic-condition management presents a major opportunity, enabling predictive risk scoring, automated trend analysis, and intelligent therapeutic support. AI-enhanced IoMT devices now detect subtle physiological deviations, enabling earlier interventions for conditions such as diabetes, COPD, and cardiovascular disorders. These capabilities strengthen provider confidence in remote care models while elevating patient engagement. As algorithmic sophistication grows, AI-augmented chronic-care ecosystems are expected to become central pillars of modern healthcare infrastructure.

Threat:

Rising incidence of large-scale healthcare data breaches

Rising global incidents of healthcare data breaches are prompting accelerated investment in cybersecurity-enhanced IoMT architectures. This heightened focus is pushing vendors to adopt biometric authentication, hardware-rooted security, and end-to-end encryption. Strengthened privacy controls elevate trust among healthcare organizations deploying chronic-care networks. As regulatory frameworks tighten, manufacturers increasingly differentiate through secure-by-design platforms, ensuring resilient data protection across distributed patient monitoring systems.

Covid-19 Impact:

Covid-19 significantly accelerated IoMT adoption for chronic-care management as healthcare systems scaled remote diagnostics, digital triage, and at-home monitoring. Patients with long-term conditions increasingly relied on connected devices to avoid in-facility visits, driving durable behavioral shifts. Providers expanded virtual-care infrastructure, integrating IoMT data into clinical decision workflows. This surge in demand established lasting momentum for device-centric chronic-care ecosystems and reinforced the importance of decentralized healthcare delivery.

The remote monitoring devices segment is expected to be the largest during the forecast period

The remote monitoring devices segment is expected to account for the largest market share during the forecast period, resulting from widespread deployment of wearables, biosensors, and connected diagnostics for long-term conditions. Their ability to deliver continuous physiological insights, streamline follow-ups, and support risk-based interventions strengthens their role in chronic-care pathways. Increasing adoption by health systems and insurance providers further solidifies this segment's dominance across digitally enabled care models.

The bluetooth low energy segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the bluetooth low energy segment is predicted to witness the highest growth rate, propelled by its ultra-low-power consumption, seamless smartphone integration, and expanding role in patient-centric medical devices. BLE connectivity enhances real-time data transmission while extending battery life for wearable sensors. Its affordability and global compatibility make it a preferred choice for scaling chronic-care IoMT ecosystems across large patient populations.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to expanding chronic-disease prevalence, rapid digital-health investments, and government-backed telehealth initiatives. Growing adoption of remote-care technologies in China, India, Japan, and South Korea strengthens IoMT penetration. Large patient bases and increasing mobile-health usage further reinforce the region's leadership in chronic-care connectivity.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with strong regulatory support for digital therapeutics, rapid adoption of AI-enhanced monitoring devices, and expanding reimbursement pathways. High technology readiness and mature healthcare IT ecosystems accelerate deployment of IoMT platforms across chronic-care networks. Continuous innovation from medical-device and digital-health companies further fuels this momentum.

Key players in the market

Some of the key players in IoMT Ecosystem for Chronic Care Market include Philips, GE HealthCare, Medtronic, Dexcom, Siemens Healthineers, Abbott Laboratories, ResMed, Omron, Roche, Honeywell, BioTelemetry, Fitbit, AliveCor, Apple, Cerner, Epic Systems, and Proteus Digital Health.

Key Developments:

In October 2025, Philips launched the Philips HealthSuite Chronic Care Platform, a unified IoMT ecosystem that integrates data from its wearable biosensors, smart inhalers, and home monitoring devices with the electronic health records from major providers, using AI to predict COPD and CHF exacerbations.

In September 2025, Medtronic introduced the NuCare Connect system, a suite of implantable cardiac device synchronizers and connected glucose monitors that automatically transmit patient data to a centralized clinician dashboard, enabling remote titration of therapy for diabetes and heart failure patients.

In August 2025, Dexcom unveiled its G7+ Ecosystem, which expands beyond glucose monitoring by integrating with Apple Watch and Fitbit to incorporate activity and sleep data, providing a more holistic view for diabetes management and automated insights for patients and caregivers.

Device Types Covered:

Remote Monitoring Devices
Wearable Health Trackers
Smart Medication Dispensers
Connected Diagnostic Tools
Home-Based Therapeutic Devices

Connectivities Covered:

Bluetooth Low Energy
Wi-Fi Enabled Systems
Cellular IoMT Solutions
LoRaWAN & LPWAN Platforms
Cloud-Synchronized IoMT Networks

Applications Covered:

Diabetes Management
Cardiac Monitoring
Respiratory Disease Tracking
Neurological Chronic Care
Home-Based Rehabilitation

End Users Covered:

Hospitals & Clinics
Home Healthcare Providers
Insurance & Health Plans
Diagnostic Centers
Telehealth Service Providers

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

2 Preface

2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions

3 Market Trend Analysis

3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global IoMT Ecosystem for Chronic Care Market, By Device Type

5.1 Introduction
5.2 Remote Monitoring Devices
5.3 Wearable Health Trackers
5.4 Smart Medication Dispensers
5.5 Connected Diagnostic Tools
5.6 Home-Based Therapeutic Devices

6 Global IoMT Ecosystem for Chronic Care Market, By Connectivity

6.1 Introduction
6.2 Bluetooth Low Energy
6.3 Wi-Fi Enabled Systems
6.4 Cellular IoMT Solutions
6.5 LoRaWAN & LPWAN Platforms
6.6 Cloud-Synchronized IoMT Networks

7 Global IoMT Ecosystem for Chronic Care Market, By Application

7.1 Introduction
7.2 Diabetes Management
7.3 Cardiac Monitoring
7.4 Respiratory Disease Tracking
7.5 Neurological Chronic Care
7.6 Home-Based Rehabilitation

8 Global IoMT Ecosystem for Chronic Care Market, By End User

8.1 Introduction
8.2 Hospitals & Clinics
8.3 Home Healthcare Providers
8.4 Insurance & Health Plans
8.5 Diagnostic Centers
8.6 Telehealth Service Providers

9 Global IoMT Ecosystem for Chronic Care Market, By Geography

9.1 Introduction
9.2 North America
- 9.2.1 US
- 9.2.2 Canada
- 9.2.3 Mexico
9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 Italy
- 9.3.4 France
- 9.3.5 Spain
- 9.3.6 Rest of Europe
9.4 Asia Pacific
- 9.4.1 Japan
- 9.4.2 China
- 9.4.3 India
- 9.4.4 Australia
- 9.4.5 New Zealand
- 9.4.6 South Korea
- 9.4.7 Rest of Asia Pacific
9.5 South America
- 9.5.1 Argentina
- 9.5.2 Brazil
- 9.5.3 Chile
- 9.5.4 Rest of South America
9.6 Middle East & Africa
- 9.6.1 Saudi Arabia
- 9.6.2 UAE
- 9.6.3 Qatar
- 9.6.4 South Africa
- 9.6.5 Rest of Middle East & Africa

10 Key Developments

10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling

11.1 Philips
11.2 GE HealthCare
11.3 Medtronic
11.4 Dexcom
11.5 Siemens Healthineers
11.6 Abbott Laboratories
11.7 ResMed
11.8 Omron
11.9 Roche
11.10 Honeywell
11.11 BioTelemetry
11.12 Fitbit
11.13 AliveCor
11.14 Apple
11.15 Cerner
11.16 Epic Systems
11.17 Proteus Digital Health

簡介目錄圖表

List of Tables

Table 1 Global IoMT Ecosystem for Chronic Care Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global IoMT Ecosystem for Chronic Care Market Outlook, By Device Type (2024-2032) ($MN)
Table 3 Global IoMT Ecosystem for Chronic Care Market Outlook, By Remote Monitoring Devices (2024-2032) ($MN)
Table 4 Global IoMT Ecosystem for Chronic Care Market Outlook, By Wearable Health Trackers (2024-2032) ($MN)
Table 5 Global IoMT Ecosystem for Chronic Care Market Outlook, By Smart Medication Dispensers (2024-2032) ($MN)
Table 6 Global IoMT Ecosystem for Chronic Care Market Outlook, By Connected Diagnostic Tools (2024-2032) ($MN)
Table 7 Global IoMT Ecosystem for Chronic Care Market Outlook, By Home-Based Therapeutic Devices (2024-2032) ($MN)
Table 8 Global IoMT Ecosystem for Chronic Care Market Outlook, By Connectivity (2024-2032) ($MN)
Table 9 Global IoMT Ecosystem for Chronic Care Market Outlook, By Bluetooth Low Energy (2024-2032) ($MN)
Table 10 Global IoMT Ecosystem for Chronic Care Market Outlook, By Wi-Fi Enabled Systems (2024-2032) ($MN)
Table 11 Global IoMT Ecosystem for Chronic Care Market Outlook, By Cellular IoMT Solutions (2024-2032) ($MN)
Table 12 Global IoMT Ecosystem for Chronic Care Market Outlook, By LoRaWAN & LPWAN Platforms (2024-2032) ($MN)
Table 13 Global IoMT Ecosystem for Chronic Care Market Outlook, By Cloud-Synchronized IoMT Networks (2024-2032) ($MN)
Table 14 Global IoMT Ecosystem for Chronic Care Market Outlook, By Application (2024-2032) ($MN)
Table 15 Global IoMT Ecosystem for Chronic Care Market Outlook, By Diabetes Management (2024-2032) ($MN)
Table 16 Global IoMT Ecosystem for Chronic Care Market Outlook, By Cardiac Monitoring (2024-2032) ($MN)
Table 17 Global IoMT Ecosystem for Chronic Care Market Outlook, By Respiratory Disease Tracking (2024-2032) ($MN)
Table 18 Global IoMT Ecosystem for Chronic Care Market Outlook, By Neurological Chronic Care (2024-2032) ($MN)
Table 19 Global IoMT Ecosystem for Chronic Care Market Outlook, By Home-Based Rehabilitation (2024-2032) ($MN)
Table 20 Global IoMT Ecosystem for Chronic Care Market Outlook, By End User (2024-2032) ($MN)
Table 21 Global IoMT Ecosystem for Chronic Care Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
Table 22 Global IoMT Ecosystem for Chronic Care Market Outlook, By Home Healthcare Providers (2024-2032) ($MN)
Table 23 Global IoMT Ecosystem for Chronic Care Market Outlook, By Insurance & Health Plans (2024-2032) ($MN)
Table 24 Global IoMT Ecosystem for Chronic Care Market Outlook, By Diagnostic Centers (2024-2032) ($MN)
Table 25 Global IoMT Ecosystem for Chronic Care Market Outlook, By Telehealth Service Providers (2024-2032) ($MN)