查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1917859

物联网在智慧医院的应用－2026-2031年预测

IoT in Smart Hospitals Market - Forecast from 2026 to 2031
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 150 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计到 2025 年，智慧医院的物联网市场规模将达到 420.54 亿美元，到 2031 年将达到 1,653.92 亿美元，复合年增长率为 25.64%。

智慧医院物联网 (IoT) 市场指的是将联网感测器、医疗设备、仪器和基础设施整合到医疗机构中，从而创建一个互联互通、数据驱动的生态系统。这涉及到将各种资产（从患者监护仪和输液泵到环境控制设备和资产追踪设备）建构成可连接的状态，使它们能够收集、发送和接收资料。其总体目标是利用这些持续不断的营运和临床数据流来改善患者照护、优化工作流程、提高资产利用率，并提升医院的整体效率和安全性。这体现了现代医疗机构的数位化神经系统。

市场扩张的根本驱动力在于，在控制不断攀升的营运成本的同时，提升临床疗效这项策略要务。互联医疗设备和穿戴式装置的普及是关键驱动因素。这些设备的功能不再局限于独立运行，而是作为大型网路中的节点，将即时、连续的患者资料（生命征象、用药依从性、活动能力）传输至集中式控制面板。这正推动医疗模式从被动应对转向主动预防，从常规门诊就诊转向持续远端监测，这对于慢性病管理和出院后护理至关重要，并最终降低医院再入院率。

同时，优化资源和降低成本的需求是推动医院营运的重要因素。物联网解决方案能够有效解决医院营运中的关键低效率问题。智慧资产追踪系统（RTLS）可即时定位行动扫描器和轮椅等关键设备，从而缩短搜寻时间并提高运转率。环境感测器可监控药品储存冷藏库的温度，并根据占用情况控制空调机组，确保合规性并减少能源浪费。高价值设备的预测性维护利用感测器资料预测故障发生前的迹象，最大限度地减少代价高昂的停机时间。这些应用能够直接影响医院的获利，并提供清晰的投资报酬率（ROI），从而推动其普及应用。

对资料安全和隐私日益重视是塑造市场格局的关键且不可逆转的趋势。物联网将使联网设备的数量呈指数级增长，从而扩大流通中的敏感医疗数据量。每个设备都可能成为网路攻击的入口点。因此，包括装置认证、加密资料传输和严格存取控制在内的强大端对端安全架构并非可有可无，而是任何物联网部署的基础需求。透过可验证的安全性建立信任对于市场成长至关重要。

从区域层面来看，北美已确立了其作为关键市场的地位，其特点是拥有先进的医疗保健IT基础设施、高额的医疗保健支出、主要供应商集中度高，以及以价值为导向的医疗模式带来的强大奖励，这些模式奖励效率和高品质的医疗结果。该地区的法规环境和早期采用文化进一步巩固了其在复杂的全院物联网整合部署方面的领先地位。

竞争格局是一个复杂的生态系统：医疗设备製造商 (OEM) 为其产品添加连接功能，大型 IT 和网路公司提供底层连接和安全基础设施，而专业软体公司则开发资料聚合和分析平台。成功的关键在于提供能够与各种旧有系统和电子健康记录 (EHR) 整合的互通性解决方案，从数据中提取可执行的洞察，并确保始终如一的可靠性和安全性。

儘管物联网市场潜力巨大，但仍面临许多推广障碍。最大的挑战在于市场分散化和缺乏通用的互通性标准。医院通常拥有来自数十家供应商的多种设备，这些设备使用不同的通讯协定，导致无缝整合既困难又高成本。此外，部署企业级物联网网路需要大量的初始资本投入、专业的IT/临床工程技术以及变革管理，以使临床工作流程适应新的资料流。克服这些复杂性是物联网广泛应用的主要障碍。

总之，智慧医院的物联网市场是一股变革力量，它将医疗保健模式从以设施为中心转向以病患和资料为中心。其成长受到提升医疗品质和营运永续性的双重压力所支撑。对于行业专家而言，策略重点应放在以下几个方面：透过采用通用标准（例如FHIR）促进互通性；开发先进的临床分析技术，将数据转化为指导性见解；以及建立降低医院技术和财务准入门门槛的託管服务模式。未来在于一个普适环境环境，在这个环境中，物联网基础设施在后台无缝运行，赋能临床医生，提升病患参与度，并使医院本身运作一台可靠、高效、安全的医疗机器。物联网平台能否显着改善患者预后、减轻临床医生负担并带来可观的经济回报，将决定其成功与否，使其成为21世纪医疗保健服务的重要组成部分。

本报告的主要优势：

  • 深入分析：获取主要和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他细分市场。
  • 竞争格局：了解全球主要参与者的策略倡议，并了解透过正确的策略进入市场的机会。
  • 市场驱动因素与未来趋势：探讨影响市场的动态因素和关键趋势及其对未来市场发展的影响。
  • 可操作的建议：利用这些见解，在快速变化的环境中做出策略决策，并发现新的商机和收入来源。
  • 受众广泛：适用于Start-Ups、研究机构、顾问公司、中小企业和大型企业，且经济实惠。

它是用来做什么的？

产业与市场分析、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法规结构及影响、新产品开发、竞争情报

研究范围：

  • 2021年至2025年的历史数据和2026年至2031年的预测数据
  • 成长机会、挑战、供应链前景、法规结构与趋势分析
  • 竞争定位、策略和市场占有率分析
  • 按业务板块和地区（包括国家）分類的收入和预测评估
  • 公司概况（策略、产品、财务资讯、关键发展等）

目录

第一章执行摘要

第二章 市场概览

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场区隔

第三章 商业情境

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策与法规
  • 策略建议

第四章 技术展望

第五章 智慧医院物联网市场（依组件划分）

  • 介绍
  • 硬体
  • 软体
  • 服务

6. 智慧医院物联网市场－以连结方式和性别划分

  • 介绍
  • Bluetooth
  • Wi-Fi
  • 蜂窝通信
  • 其他的

第七章 物联网在智慧医院的应用市场

  • 介绍
  • 远端患者监护
  • 药物管理
  • 外科手术
  • 其他的

8. 各地区智慧医院物联网市场

  • 介绍
  • 北美洲
    • 按组件
    • 连结性别
    • 透过使用
    • 按国家/地区
      • 美国
      • 加拿大
      • 墨西哥
  • 南美洲
    • 按组件
    • 连结性别
    • 透过使用
    • 按国家/地区
      • 巴西
      • 阿根廷
      • 其他的
  • 欧洲
    • 按组件
    • 连结性别
    • 透过使用
    • 按国家/地区
      • 德国
      • 法国
      • 英国
      • 西班牙
      • 其他的
  • 中东和非洲
    • 按组件
    • 连结性别
    • 透过使用
    • 按国家/地区
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 其他的
  • 亚太地区
    • 按组件
    • 连结性别
    • 透过使用
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 印尼
      • 泰国
      • 台湾
      • 其他的

第九章 竞争格局与分析

  • 主要企业和策略分析
  • 市占率分析
  • 合併、收购、协议和合作
  • 竞争对手仪錶板

第十章：公司简介

  • Koninklijke Philips NV
  • Siemens Healthineers AG
  • General Electric
  • Cisco Systems, Inc.
  • IBM
  • Medtronic Plc
  • Honeywell International Inc.
  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE

第十一章附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要收益
  • 调查方法
  • 简称
简介目录
Product Code: KSI061615859

IoT In Smart Hospitals Market, growing at a 25.64% CAGR, is anticipated to reach USD 165.392 billion in 2031 from USD 42.054 billion in 2025.

The Internet of Things (IoT) in smart hospitals market encompasses the integration of networked sensors, medical devices, equipment, and infrastructure within a healthcare facility to create a connected, data-driven ecosystem. This involves embedding connectivity into a vast array of assets-from patient monitors and infusion pumps to environmental controls and asset trackers-enabling them to collect, transmit, and receive data. The overarching goal is to leverage this continuous stream of operational and clinical data to enhance patient care, optimize workflows, improve asset utilization, and increase overall hospital efficiency and safety. It represents the digital nervous system of the modern healthcare facility.

Market expansion is fundamentally driven by the strategic imperative to improve clinical outcomes while controlling spiraling operational costs. A primary catalyst is the proliferation of connected medical devices and wearables. These devices move beyond standalone functionality to become nodes in a larger network, providing real-time, continuous patient data (vitals, medication adherence, mobility) to centralized dashboards. This enables proactive, rather than reactive, care-shifting from episodic check-ups to continuous remote monitoring, which is critical for managing chronic conditions and post-discharge care, thereby reducing readmissions.

Concurrently, a powerful operational driver is the need for resource optimization and cost reduction. IoT solutions address significant inefficiencies in hospital operations. Smart asset tracking (RTLS) locates critical equipment like mobile scanners or wheelchairs in real-time, reducing search times and increasing utilization. Environmental sensors monitor refrigerator temperatures for pharmaceuticals or control HVAC based on occupancy, ensuring compliance and reducing energy waste. Predictive maintenance on high-value equipment uses sensor data to forecast failures before they occur, minimizing costly downtime. These applications directly impact the bottom line, providing a clear ROI that fuels adoption.

A critical and non-negotiable trend shaping the market is the intensified focus on data security and privacy. The IoT exponentially increases the number of connected endpoints and the volume of sensitive health data in transit. Each device represents a potential entry point for cyberattacks. Consequently, robust, end-to-end security architectures-including device authentication, encrypted data transmission, and stringent access controls-are not optional features but foundational requirements for any IoT deployment. Building trust through demonstrable security is paramount for market growth.

Geographically, North America is established as the leading market, characterized by advanced healthcare IT infrastructure, high healthcare expenditure, a concentration of leading technology vendors, and strong incentives from value-based care models that reward efficiency and quality outcomes. The region's regulatory environment and early adopter culture further solidify its leadership in deploying complex, hospital-wide IoT integrations.

The competitive landscape involves a complex ecosystem: medical device OEMs adding connectivity to their products, IT and networking giants providing the underlying connectivity and security fabric, and specialized software firms developing data aggregation and analytics platforms. Success hinges on providing interoperable solutions that can integrate with diverse legacy systems and electronic health records (EHRs), delivering actionable insights from data, and ensuring unwavering reliability and security.

Despite its promise, the market faces significant implementation hurdles. The foremost challenge is fragmentation and lack of universal interoperability standards. Hospitals often contain devices from dozens of vendors using different communication protocols, making seamless integration difficult and costly. Furthermore, the sheer scale and complexity of deploying an enterprise-wide IoT network require significant upfront capital investment, specialized IT/clinical engineering expertise, and change management to align clinical workflows with new data streams. Navigating these complexities is a major barrier to widespread adoption.

In conclusion, the IoT in smart hospitals market is a transformative force, moving healthcare from a facility-centric to a patient- and data-centric model. Its growth is structurally supported by the dual pressures of improving care quality and operational sustainability. For industry experts, strategic focus must center on advancing interoperability through adoption of common standards (like FHIR), developing sophisticated clinical analytics that turn data into prescriptive insights, and creating managed service models that lower the technical and financial barriers to entry for hospitals. The future lies in ambient intelligence environments where the IoT fabric works seamlessly in the background to empower clinicians, engage patients, and ensure the hospital itself operates as a reliable, efficient, and secure healing instrument. Success will be measured by an IoT platform's ability to demonstrably improve patient outcomes, reduce clinician burden, and deliver a compelling economic return, thereby becoming an indispensable component of 21st-century healthcare delivery.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2021 to 2025 & forecast data from 2026 to 2031
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.)

IoT in Smart Hospitals Market Segmentation

  • By Component
  • Hardware
  • Software
  • Services
  • By Connectivity
  • Bluetooth
  • Wi-Fi
  • Cellular
  • Others
  • By Application
  • Remote Patient Monitoring
  • Medication Management
  • Surgeries
  • Others
  • By Geography
  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Taiwan
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. IOT IN SMART HOSPITALS MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. Hardware
  • 5.3. Software
  • 5.4. Services

6. IOT IN SMART HOSPITALS MARKET BY CONNECTIVITY

  • 6.1. Introduction
  • 6.2. Bluetooth
  • 6.3. Wi-Fi
  • 6.4. Cellular
  • 6.5. Others

7. IOT IN SMART HOSPITALS MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Remote Patient Monitoring
  • 7.3. Medication Management
  • 7.4. Surgeries
  • 7.5. Others

8. IOT IN SMART HOSPITALS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Component
    • 8.2.2. By Connectivity
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Component
    • 8.3.2. By Connectivity
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Component
    • 8.4.2. By Connectivity
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Component
    • 8.5.2. By Connectivity
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Component
    • 8.6.2. By Connectivity
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. India
      • 8.6.4.3. Japan
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Thailand
      • 8.6.4.7. Taiwan
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Koninklijke Philips N.V.
  • 10.2. Siemens Healthineers AG
  • 10.3. General Electric
  • 10.4. Cisco Systems, Inc.
  • 10.5. IBM
  • 10.6. Medtronic Plc
  • 10.7. Honeywell International Inc.
  • 10.8. Oracle Corporation
  • 10.9. Microsoft Corporation
  • 10.10. SAP SE

11. APPENDIX

  • 11.1. Currency
  • 11.2. Assumptions
  • 11.3. Base and Forecast Years Timeline
  • 11.4. Key Benefits for the Stakeholders
  • 11.5. Research Methodology
  • 11.6. Abbreviations