医疗保健边缘运算市场－全球产业规模、份额、趋势、机会及预测（按组件、应用、组织规模、地区和竞争格局划分，2021-2031年）

全球医疗边缘运算市场预计将从 2025 年的 69.8 亿美元大幅成长至 2031 年的 203.9 亿美元，复合年增长率达 19.56%。

此领域的特点是医疗资讯在更接近源头的分散式处理，利用患者监护仪和诊断工具，而非依赖高度集中的云端系统。其成长主要由医疗物联网 (IoMT) 产生的数据量呈指数级增长以及机器人手术等高风险应用对超低延迟的需求所驱动。这种架构透过即时分析实现快速临床决策，是现代远端医疗模式的基础。美国医学会 2024 年的一份报告也强调了这一趋势，该报告指出，“71.4% 的医生将在使用远端医疗服务的诊所工作。”

然而，在医疗保健领域，不同系统间的互通性面临许多挑战。将现代边缘解决方案与现有的传统医院基础设施整合是一个复杂的过程，往往会导致部署延迟和资料碎片化。此外，保护分散式终端网路也是一项重大挑战，要求医疗机构在不断扩大的攻击面上维护严格的资料保护。因此，无法在这些分散的环境之间顺畅地交换敏感讯息，可能会阻碍边缘运算框架的广泛应用。

市场驱动因素

医疗物联网 (IoMT) 基础设施的快速扩张是推动医疗边缘运算发展的关键因素。分散式处理对于处理大量资料至关重要。随着医疗服务提供者的营运日益数位化，将持续不断的患者资料流传输到集中式云端所需的频宽变得难以管理，因此需要部署边缘节点来实现本地聚合和即时分析。这种全产业向互联基础设施的转变也体现在领导者的认知中。德勤于 2025 年 1 月发布的《2025 年全球医疗保健展望》报告显示，约 90% 的医疗系统高管预计，数位化工具、互联医疗服务和虚拟医疗的日益普及将对其 2025 年的业务战略产生重大影响。

同时，远端患者监护和远端医疗系统的快速发展凸显了边缘运算对于确保资料安全和无缝服务的必要性。在资料来源附近处理资料能够帮助医疗机构最大限度地减少延迟，并保持虚拟会话的可靠性，这对于频宽密集型互动至关重要。美国医院协会 (AHA) 于 2025 年 11 月发布的题为《行为健康将在 2024 年超越基层医疗》的分析报告，生动地展现了这种依赖性的程度。该分析报告指出，到 2024 年，行为健康就诊量将达到 6,640 万人次，凸显了远端医疗的庞大规模，而这需要强大的基础设施。然而，这种数位化依赖也增加了安全漏洞，推动市场朝向安全的边缘解决方案发展。根据 Verizon 于 2025 年 4 月发布的《2025 年资料外洩调查报告》，医疗保健产业在前一年发生了 1710 起安全事件，再次强调了边缘运算所提供的在地化资料主权的重要性。

市场挑战

互通性挑战是限制全球医疗边缘运算市场成长的一大瓶颈。儘管边缘架构能够提供卓越的低延迟本地资料处理能力，但如果现代设备无法与现有旧有系统有效通信，其效用将大打折扣。许多医院依赖老旧的电子健康记录 (EHR) 基础设施，而这些基础设施缺乏接收来自分散式边缘设备即时数据所需的标准化介面。这种技术鸿沟造成了资料孤岛，使得在诊疗现场产生的关键病患资讯无法整合到更广泛的临床工作流程中，从而削弱了边缘运算所承诺的效率优势。

因此，医疗机构往往不愿投资那些需要昂贵且客製化的整合才能在其现有环境中运作的边缘解决方案。这种碎片化导致采用延迟，并限制了远端医疗模式的扩充性。产业数据也印证了这项挑战的严峻性：根据医疗资讯与管理系统协会 (HIMSS) 2024 年的一项调查，「57% 的医生认为互通性是充分发挥医疗资讯科技潜力的主要障碍。」 除非这些整合障碍得到解决，否则市场将难以从试点阶段过渡到企业级广泛应用。

市场趋势

边缘人工智慧和设备端机器学习的兴起正在改变市场格局，使先进的推理模型能够直接在医疗设备上运作。这一趋势超越了以往以速度为先的简单分析，其驱动力在于生成式人工智慧的集成，这种技术无需依赖云端连接，从而增强了资料隐私和营运弹性。这种演进需要强大的本地运算能力来处理护理点的复杂诊断任务，从而显着降低对外部伺服器的依赖。皇家飞利浦于2024年6月发布的《2024年未来健康指数》报告印证了这一转变，报告指出，85%的医疗保健领导者目前正在投资或计划投资生成式人工智慧技术，这表明资源正在向计算密集型边缘框架进行大规模重新分配。

同时，5G网路与边缘基础设施的整合正在为关键任务型连接创造新的标准，超越了传统Wi-Fi的限制。这一趋势凸显了5G独立组网（SA）架构的普及，该架构采用网路切片技术，确保为远端机器人系统等高优先级工具提供专用资源。这种整合方式透过将远端手术与广泛的网路拥塞隔离，确保了超可靠、低延迟的通信，这对远端手术至关重要。这种基础设施演进正在全球加速推进。根据爱立信于2024年11月发布的《移动报告》，预计到2030年底，全球5G用户将达到63亿，其中约60%将是5G独立组网用户，这凸显了向支撑医疗边缘环境的先进标准的重要转变。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球医疗保健边缘运算市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（硬体、软体、服务）
  • 依应用领域（智慧城市、工业物联网 (IoT)、远端监控、内容传送、扩增实境(AR)、虚拟实境 (VR)、其他）
  • 依组织规模（大型公司、中小企业）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美医疗保健边缘运算市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

7. 欧洲医疗保健边缘运算市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区医疗保健边缘运算市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲医疗保健边缘运算市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

10. 南美洲医疗保健边缘运算市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球医疗保健边缘运算市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• IBM Corporation
• Microsoft Corporation
• Cisco Systems, Inc.
• Intel Corporation
• Hewlett Packard Enterprise（HPE）
• Dell Technologies Inc.
• Amazon Web Services, Inc.（AWS）
• NVIDIA Corporation
• Fujitsu Limited
• Siemens Healthineers AG

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Healthcare Edge Computing Market is projected to expand significantly, rising from USD 6.98 Billion in 2025 to USD 20.39 Billion by 2031, reflecting a compound annual growth rate of 19.56%. This sector is defined by the decentralized processing of medical information in close proximity to its origin, utilizing patient monitors and diagnostic tools rather than dependent centralized cloud systems. Growth is largely fueled by the surging volume of data generated by the Internet of Medical Things (IoMT) and the essential need for ultra-low latency in high-stakes applications such as robotic surgery. By facilitating immediate clinical decision-making through real-time analytics, this architectural approach supports modern virtual care models, a trend highlighted by the 'American Medical Association' in '2024', which noted that '71.4% of physicians worked in practices that utilized telehealth services'.

However, the market encounters substantial hurdles regarding the interoperability of varied systems within the healthcare landscape. The intricate process of merging contemporary edge solutions with established, legacy hospital infrastructures frequently results in implementation delays and data fragmentation. Additionally, securing a dispersed network of endpoints poses a major challenge, requiring healthcare entities to maintain stringent data protection across an expanded attack surface. As a result, the incapacity to exchange sensitive information fluidly across these disjointed environments threatens to obstruct the broad acceptance of edge computing frameworks.

Market Driver

The rapid expansion of Internet of Medical Things (IoMT) infrastructure serves as a major driver for healthcare edge computing, requiring decentralized processing to handle the immense volume of data produced. As healthcare providers progressively digitize operations, the bandwidth needed to send continuous patient data streams to centralized clouds becomes unmanageable, prompting the installation of edge nodes for local aggregation and instant analysis. This industry-wide move toward connected infrastructure is reflected in leadership sentiments; according to Deloitte, January 2025, in the '2025 Global Health Care Outlook', nearly 90% of health system executives expect the expanding adoption of digital tools, connected care delivery, and virtual health to significantly influence their operational strategies in 2025.

Simultaneously, the swift growth of remote patient monitoring and telehealth ecosystems highlights the necessity for edge computing to guarantee data security and seamless service. Processing data near the source allows healthcare organizations to minimize latency and maintain the reliability of virtual sessions, a requirement crucial for bandwidth-heavy interactions. The magnitude of this reliance is demonstrated by the American Hospital Association, November 2025, in the 'Behavioral Health Outpaces Primary Care in 2024' analysis, which reported that behavioral health visits totaled 66.4 million in 2024, underscoring the massive scale of remote interactions needing strong infrastructure. Yet, this digital reliance increases vulnerability, pushing the market toward secure edge solutions; according to Verizon, April 2025, in the '2025 Data Breach Investigations Report', the healthcare sector experienced 1,710 security incidents in the preceding year, reinforcing the imperative for the localized data sovereignty that edge computing provides.

Market Challenge

Interoperability challenges pose a significant bottleneck to the growth of the Global Healthcare Edge Computing Market. Although edge architectures provide superior low-latency local data processing, their utility is greatly reduced if modern devices cannot communicate effectively with established legacy systems. Many hospitals rely on aging Electronic Health Records infrastructures that lack the standardized interfaces necessary to accept real-time data from distributed edge endpoints. This technical gap results in data silos where vital patient insights created at the point of care cannot be integrated into the wider clinical workflow, thereby undermining the efficiency benefits promised by edge computing.

As a result, healthcare organizations often hesitate to fund edge solutions that demand costly, custom integration to work within their current environments. This fragmentation causes implementation delays and restricts the scalability of virtual care models. The gravity of this challenge is underscored by industry data; according to the 'Healthcare Information and Management Systems Society', in '2024', '57% of physicians identified interoperability as their primary obstacle in maximizing health IT potential'. Until these integration obstacles are resolved, the market will find it difficult to progress from pilot initiatives to broad enterprise-level adoption.

Market Trends

The rise of Edge AI and On-Device Machine Learning is transforming the market by allowing advanced inference models to operate directly on medical endpoints. Moving beyond simple analytics prioritized for speed, this trend is propelled by the incorporation of Generative AI that operates independently of cloud connections, thereby enhancing data privacy and operational resilience. This development requires robust local computing capabilities to manage intricate diagnostic tasks at the point of care, greatly decreasing dependence on external servers. Evidence of this shift is found in the Royal Philips, June 2024, 'Future Health Index 2024' report, which indicates that 85% of healthcare leaders are currently investing in, or planning to invest in, generative AI technologies, signaling a substantial reallocation toward compute-intensive edge frameworks.

Simultaneously, the convergence of 5G networks with edge infrastructure is creating a new standard for mission-critical connectivity that surpasses traditional Wi-Fi limitations. This trend emphasizes the deployment of 5G Standalone (SA) architectures employing network slicing to secure dedicated resources for high-priority tools such as telerobotic systems. Such integration guarantees the ultra-reliable, low-latency communication essential for remote surgeries by shielding them from broader network congestion. This evolution in infrastructure is gaining global momentum; according to Ericsson, November 2024, in the 'Ericsson Mobility Report', almost 60% of the 6.3 billion global 5G subscriptions forecast by the end of 2030 are expected to be 5G Standalone subscriptions, underscoring the vital transition toward advanced standards that underpin medical edge environments.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• Cisco Systems, Inc.
• Intel Corporation
• Hewlett Packard Enterprise (HPE)
• Dell Technologies Inc.
• Amazon Web Services, Inc. (AWS)
• NVIDIA Corporation
• Fujitsu Limited
• Siemens Healthineers AG

Report Scope

In this report, the Global Healthcare Edge Computing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Healthcare Edge Computing Market, By Component

• Hardware
• Software
• Services

Healthcare Edge Computing Market, By Application

• Smart Cities
• Industrial Internet of Things (IoT)
• Remote Monitoring
• Content Delivery
• Augmented Reality (AR)
• Virtual Reality (VR)
• Others

Healthcare Edge Computing Market, By Organization Size

• Large Enterprises
• SMEs

Healthcare Edge Computing 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 Healthcare Edge Computing Market.

Available Customizations:

Global Healthcare Edge Computing 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, Trends

4. Voice of Customer

5. Global Healthcare Edge Computing Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Hardware, Software, Services)
  • 5.2.2. By Application (Smart Cities, Industrial Internet of Things (IoT), Remote Monitoring, Content Delivery, Augmented Reality (AR), Virtual Reality (VR), Others)
  • 5.2.3. By Organization Size (Large Enterprises, SMEs)
  • 5.2.4. By Region
  • 5.2.5. By Company (2025)
• 5.3. Market Map

6. North America Healthcare Edge Computing 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 Application
  • 6.2.3. By Organization Size
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Healthcare Edge Computing 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 Application
      • 6.3.1.2.3. By Organization Size
  • 6.3.2. Canada Healthcare Edge Computing 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 Application
      • 6.3.2.2.3. By Organization Size
  • 6.3.3. Mexico Healthcare Edge Computing 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 Application
      • 6.3.3.2.3. By Organization Size

7. Europe Healthcare Edge Computing 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 Application
  • 7.2.3. By Organization Size
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Healthcare Edge Computing 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 Application
      • 7.3.1.2.3. By Organization Size
  • 7.3.2. France Healthcare Edge Computing 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 Application
      • 7.3.2.2.3. By Organization Size
  • 7.3.3. United Kingdom Healthcare Edge Computing 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 Application
      • 7.3.3.2.3. By Organization Size
  • 7.3.4. Italy Healthcare Edge Computing 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 Application
      • 7.3.4.2.3. By Organization Size
  • 7.3.5. Spain Healthcare Edge Computing 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 Application
      • 7.3.5.2.3. By Organization Size

8. Asia Pacific Healthcare Edge Computing 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 Application
  • 8.2.3. By Organization Size
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Healthcare Edge Computing 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 Application
      • 8.3.1.2.3. By Organization Size
  • 8.3.2. India Healthcare Edge Computing 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 Application
      • 8.3.2.2.3. By Organization Size
  • 8.3.3. Japan Healthcare Edge Computing 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 Application
      • 8.3.3.2.3. By Organization Size
  • 8.3.4. South Korea Healthcare Edge Computing 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 Application
      • 8.3.4.2.3. By Organization Size
  • 8.3.5. Australia Healthcare Edge Computing 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 Application
      • 8.3.5.2.3. By Organization Size

9. Middle East & Africa Healthcare Edge Computing 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 Application
  • 9.2.3. By Organization Size
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Healthcare Edge Computing 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 Application
      • 9.3.1.2.3. By Organization Size
  • 9.3.2. UAE Healthcare Edge Computing 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 Application
      • 9.3.2.2.3. By Organization Size
  • 9.3.3. South Africa Healthcare Edge Computing 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 Application
      • 9.3.3.2.3. By Organization Size

10. South America Healthcare Edge Computing 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 Application
  • 10.2.3. By Organization Size
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Healthcare Edge Computing 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 Application
      • 10.3.1.2.3. By Organization Size
  • 10.3.2. Colombia Healthcare Edge Computing 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 Application
      • 10.3.2.2.3. By Organization Size
  • 10.3.3. Argentina Healthcare Edge Computing 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 Application
      • 10.3.3.2.3. By Organization Size

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. Global Healthcare Edge Computing Market: SWOT Analysis

14. Porter's 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. IBM Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Microsoft Corporation
• 15.3. Cisco Systems, Inc.
• 15.4. Intel Corporation
• 15.5. Hewlett Packard Enterprise (HPE)
• 15.6. Dell Technologies Inc.
• 15.7. Amazon Web Services, Inc. (AWS)
• 15.8. NVIDIA Corporation
• 15.9. Fujitsu Limited
• 15.10. Siemens Healthineers AG

16. Strategic Recommendations

17. About Us & Disclaimer