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市場調查報告書
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2065194

2034年醫療保健產業雲端運算市場預測：按服務模式、部署模式、組件、應用、最終用戶和區域分類的全球分析

Cloud Computing in Healthcare Market Forecasts to 2034 - Global Analysis By Service Model (Infrastructure as a Service, Platform as a Service, and Software as a Service ), Deployment Model, Component, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球醫療保健產業的雲端運算市場規模將達到 396 億美元，到 2034 年將達到 1,492 億美元，預測期內的複合年成長率為 18.1%。

醫療保健領域的雲端運算是指部署擴充性的按需運算基礎設施、平台和軟體服務，用於儲存、管理、分析和共用臨床、行政和研究等各個環節的醫療資料。這使得醫療機構能夠降低IT資本支出，提高資料互通性，並透過IaaS、PaaS和SaaS模式支援進階分析。

加速電子健康記錄 (EHR) 的普及和強制互通性

諸如美國《21世紀治療方法法案》和歐洲「歐洲健康資料空間」計畫等監管要求，強制推行電子健康記錄 (EHR) 和健康資訊交換，正迫使醫療機構將其資料管理基礎設施遷移到雲端平台。與傳統的本地部署系統相比，基於電子健康記錄的舉措和臨床資訊系統具有擴充性的儲存、多地點無縫存取以及更低的維護成本。隨著 HL7 FHIR 等互通性標準的廣泛應用，雲端架構正日益成為建立保險公司、醫療服務提供者和製藥相關人員之間協作醫療生態系統的最佳基礎。

資料安全問題以及跨司法管轄區監管合規的複雜性。

由於對患者資料安全、資料外洩責任以及跨多個司法管轄區的監管合規性的擔憂，醫療保健雲端市場持續面臨挑戰。跨國營運的醫療機構必須同時遵守美國《健康保險流通與責任法案》(HIPAA)、歐洲《一般資料保護規範》(GDPR) 和各國資料主權法律，而這些法律對資料儲存位置、存取控制和稽核追蹤等方面的要求各不相同。備受矚目的醫療保健資料外洩事件加劇了董事會層級對雲端採用決策的審查。許多小規模醫療機構缺乏內部專業知識來正確評估雲端供應商的安全架構，導致他們在採用雲端服務時猶豫不決，遷移計劃延誤，並阻礙了雲端服務在當地醫院和個別醫生中的市場滲透。

雲端平台上人工智慧驅動的臨床決策支援和醫療分析的發展

雲端運算的擴充性與人工智慧 (AI) 和機器學習能力相結合，正在為醫療保健分析、診斷和個人化醫療創造變革性的機會。雲端託管的 AI 平台使醫療機構無需投資大規模的本地基礎設施，即可訓練和部署用於疾病風險分層、再入院預防和影像分析的預測模型。製藥公司正在利用基於雲端的資料湖產生真實世界數據 (REW)，並加速藥物研發流程。隨著 AI法規結構的日趨成熟，提供預先檢驗的、醫療保健專用 AI 服務的雲端供應商將能夠從日益成長的智慧臨床決策支援解決方案需求中獲得巨大的價值。

供應商集中度風險和雲端基礎設施成本飆升

醫療雲端市場由少數幾家超大規模雲端服務供應商主導，這給遷移關鍵工作負載的醫療機構帶來了巨大的供應商依賴風險。多年期合約鎖定、專有資料格式以及跨雲端遷移的複雜性，使得醫療機構在營運和財務方面都難以更換雲端服務供應商。資料輸出費用、儲存擴展和高級支援服務成本的不斷上漲，正在侵蝕預期的成本節約，尤其是在資料密集的影像和基因組學工作負載方面。此外，主要雲端服務提供者的服務中斷表明，即使是短期中斷也會對臨床營運和患者照護的連續性造成嚴重後果。

新型冠狀病毒（COVID-19）的影響：

新冠疫情大大推動了醫療健康領域對雲端運算的採用，將原本需要數年才能完成的數位轉型加速到數月之內。遠距遠端醫療服務、遠端患者監護以及公共衛生機構間快速資料共用的需求激增，使得本地部署系統無法滿足對可擴展雲端基礎設施的需求。雲端平台協助疫情追蹤儀錶板、疫苗管理系統和臨床試驗資料儲存庫的快速部署。在後疫情時代體驗到雲端基礎設施敏捷性的優勢後，醫療機構保持著高水準的投資，並將雲端運算視為提升醫療健康韌性和創新能力的策略手段，而不僅僅是最佳化IT成本的工具。

在預測期內，軟體即服務 (SaaS) 細分市場預計將佔據最大的市場佔有率。

在預測期內，軟體即服務 (SaaS) 領域預計將佔據最大的市場佔有率，這主要得益於雲端託管電子健康記錄(EHR) 系統、遠端醫療平台、收入週期管理解決方案和醫療保健分析應用程式的廣泛應用。 SaaS 服務對醫院、診所和保險公司尤其具有吸引力，因為它們無需大量資本投入即可實現臨床和行政運營的現代化，從而免去了軟體許可的前期成本，並減輕了 IT 管理的負擔。持續的功能更新、供應商合規性支援和基於訂閱的定價模式進一步增強了 SaaS 交付模式對所有醫療機構（無論規模或地理位置）的優勢。

在預測期內，平台即服務 (PaaS) 細分市場預計將實現最高的複合年成長率。

在預測期內，平台即服務 (PaaS) 領域預計將呈現最高的成長率，這主要得益於市場對專為醫療保健應用場景量身定做的雲端原生應用開發環境日益成長的需求。 PaaS 使醫療保健創新者和數位健康新創公司能夠建立、測試和部署臨床應用和人工智慧模型，而無需管理底層基礎設施。領先的雲端服務供應商正在擴展其醫療保健專用 PaaS 服務，提供預先建置的 FHIR API、匿名化工具和符合合規要求的開發環境。隨著全球數位健康應用開發速度的加快，我們預計製藥公司、醫療保健系統和尋求快速創新週期的健康科技公司將大量採用 PaaS。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其成熟的醫療資訊技術生態系統和強大的雲端服務供應商網路。美國貢獻了該地區的大部分收入，這主要得益於電子健康記錄 (EHR) 的大規模雲端遷移、遠端醫療的日益普及以及聯邦政府對醫療數據互通性的大量投資。高度發展的保險公司網路和複雜的數據分析需求，也為企業雲端平台帶來了穩定的需求。加拿大不斷擴展的數位健康策略也進一步增強了該地區的市場實力，鞏固了北美在所有雲端服務模式類別中的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於醫療系統的快速數位化、政府對國家衛生資訊網路投資的不斷增加，以及全球雲端超超大規模資料中心業者在區域資料中心的日益活躍。印度、中國、日本和韓國在醫療領域的雲端運算應用方面處於領先地位，這得益於各國推行的數位遠端醫療記錄（EHR）平台和遠距醫療基礎設施。加之該地區龐大的人口基數、不斷成長的醫療支出以及智慧型手機普及率的提高，亞太地區有望成為醫療領域雲端運算發展最強勁的前沿陣地。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶的興趣，我們將提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球醫療保健產業雲端運算市場：依服務模式分類

  • Infrastructure as a Service（IaaS）
  • Platform as a Service（PaaS）
  • Software as a Service（SaaS）

第6章：全球醫療保健產業雲端運算市場：依部署模式分類

  • 公共雲端
  • 私有雲端
  • 混合雲端
  • 社群雲端

第7章：全球醫療保健產業雲端運算市場：按組件分類

  • 硬體
  • 軟體
    • 電子健康記錄(EHR) 解決方案
    • 遠端醫療和遠端監控軟體
    • 收入週期管理軟體
    • 臨床資訊系統
    • 醫療保健分析平台
    • 醫學影像資訊系統
  • 服務

第8章：全球醫療保健產業雲端運算市場：按應用領域分類

  • 臨床資訊系統
  • 非臨床資訊系統
  • 遠端照護
  • 數位健康和​​行動醫療
  • 醫學影像診斷和PACS
  • 資料儲存和備份
  • 醫療保健分析
  • 病人參與方案
  • 團體健康管理

第9章：全球醫療保健產業雲端運算市場：按最終用戶分類

  • 醫院和醫療保健系統
  • 診所和私人診所
  • 醫療保健支付方
  • 製藥和生物技術公司
  • 診斷和影像中心
  • 研究和學術機構
  • 受託研究機構（CRO）

第10章：全球醫療保健產業雲端運算市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Google LLC
  • Oracle Corporation
  • IBM Corporation
  • Salesforce, Inc.
  • Siemens Healthineers AG
  • Dell Technologies Inc.
  • VMware, Inc.
  • athenahealth, Inc.
  • Epic Systems Corporation
  • eClinicalWorks LLC
  • CareCloud, Inc.
  • Koninklijke Philips NV
  • NTT DATA Corporation
Product Code: SMRC36771

According to Stratistics MRC, the Global Cloud Computing in Healthcare Market is accounted for $39.6 billion in 2026 and is expected to reach $149.2 billion by 2034, growing at a CAGR of 18.1% during the forecast period. Cloud Computing in Healthcare refers to the deployment of scalable, on-demand computing infrastructure, platforms, and software services for storing, managing, analyzing, and sharing health data across clinical, administrative, and research functions. It enables healthcare organizations to reduce IT capital expenditure, enhance data interoperability, and support advanced analytics through IaaS, PaaS, and SaaS models.

Market Dynamics:

Driver:

Accelerating adoption of electronic health records and interoperability mandates

Regulatory requirements mandating electronic health record adoption and health information exchange, such as the 21st Century Cures Act in the United States and the European Health Data Space initiative, are compelling healthcare organizations to migrate data management infrastructure to cloud platforms. Cloud-based EHR and clinical information systems offer scalable storage, seamless multi-site access, and reduced maintenance overhead compared to legacy on-premises systems. As interoperability standards like HL7 FHIR become widely adopted, cloud architectures are increasingly positioned as the preferred foundation for building connected healthcare ecosystems across payers, providers, and pharmaceutical stakeholders.

Restraint:

Data security concerns and regulatory compliance complexity across jurisdictions

The healthcare cloud market faces persistent headwinds from concerns around patient data security, breach liability, and multi-jurisdictional regulatory compliance. Healthcare organizations operating across borders must simultaneously comply with HIPAA in the United States, GDPR in Europe, and varying national data sovereignty laws, each imposing distinct requirements on data residency, access controls, and audit trails. High-profile healthcare data breaches have elevated board-level scrutiny of cloud adoption decisions. Many smaller healthcare providers lack the internal expertise to evaluate cloud vendor security architectures adequately, creating adoption hesitancy that slows migration timelines and constrains market penetration among community hospitals and independent practices.

Opportunity:

Growth of AI-driven clinical decision support and healthcare analytics on cloud platforms

The convergence of cloud scalability with artificial intelligence and machine learning capabilities is creating transformative opportunities in healthcare analytics, diagnostics, and personalized medicine. Cloud-hosted AI platforms enable healthcare organizations to train and deploy predictive models for disease risk stratification, readmission prevention, and imaging analysis without substantial on-premises infrastructure investment. Pharmaceutical companies are leveraging cloud-based data lakes for real-world evidence generation and accelerated drug discovery workflows. As AI regulatory frameworks mature, cloud providers offering pre-validated, healthcare-specific AI services are positioned to capture significant value from the growing demand for intelligent clinical decision support solutions.

Threat:

Vendor concentration risk and escalating cloud infrastructure costs

The healthcare cloud market is dominated by a small number of hyperscale providers, creating significant vendor dependency risks for healthcare organizations that migrate critical workloads. Multi-year contractual lock-in, proprietary data formats, and the complexity of cloud-to-cloud migration make it operationally and financially challenging for healthcare organizations to switch providers. Escalating costs associated with data egress fees, storage scaling, and premium support services are eroding projected cost savings, particularly for data-intensive imaging and genomics workloads. Additionally, service outages at major cloud providers have demonstrated that even brief disruptions can have serious consequences for clinical operations and patient care continuity.

Covid-19 Impact:

The COVID-19 pandemic served as a powerful catalyst for cloud adoption in healthcare, compressing years of planned digital transformation into months. Surging demand for telehealth services, remote patient monitoring, and rapid data sharing between public health agencies necessitated scalable cloud infrastructure that on-premises systems could not accommodate. Cloud platforms enabled swift deployment of pandemic tracking dashboards, vaccine management systems, and clinical trial data repositories. Post-pandemic, healthcare organizations that experienced the agility benefits of cloud infrastructure have maintained elevated investment levels, viewing cloud not merely as an IT cost optimization tool but as a strategic enabler of healthcare resilience and innovation.

The software as a service segment is expected to be the largest during the forecast period

The software as a service segment is expected to account for the largest market share during the forecast period, driven by the widespread adoption of cloud-hosted EHR systems, telehealth platforms, revenue cycle management solutions, and healthcare analytics applications. SaaS offerings eliminate upfront software licensing costs and reduce IT management burdens, making them particularly attractive to hospitals, clinics, and payers seeking to modernize clinical and administrative operations without large capital commitments. Continuous feature updates, vendor-managed compliance support, and subscription-based pricing models further reinforce the dominance of the SaaS delivery model across all healthcare organization sizes and geographies.

The platform as a service segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the platform as a service segment is predicted to witness the highest growth rate, fueled by escalating demand for cloud-native application development environments tailored to healthcare use cases. PaaS enables healthcare innovators and digital health startups to build, test, and deploy clinical applications and AI models without managing underlying infrastructure. Major cloud providers are expanding their healthcare-specific PaaS offerings with pre-built FHIR APIs, de-identification tools, and compliance-ready development environments. As digital health application development accelerates globally, PaaS adoption is expected to surge among pharmaceutical companies, health systems, and health-tech firms pursuing rapid innovation cycles.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by the region's mature health information technology ecosystem and well-established cloud service provider presence. The United States accounts for the majority of regional revenues, driven by large-scale EHR cloud migrations, expanding telehealth adoption, and significant federal investment in health data interoperability. A highly developed payer network with sophisticated data analytics requirements creates consistent demand for enterprise cloud platforms. Canada's growing digital health strategy further contributes to regional market strength, reinforcing North America's leadership across all cloud service model categories.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digitization of healthcare systems, growing government investment in national health information networks, and the expanding presence of global cloud hyperscalers in regional data centers. India, China, Japan, and South Korea are at the forefront of healthcare cloud adoption, with national digital health missions promoting interoperable EHR platforms and telemedicine infrastructure. The region's large population base, combined with rising healthcare spending and increasing smartphone penetration, positions Asia Pacific as the most dynamic growth frontier for cloud computing in healthcare.

Key players in the market

Some of the key players in Cloud Computing in Healthcare Market include Amazon Web Services Inc., Microsoft Corporation, Google LLC, Oracle Corporation, IBM Corporation, Salesforce Inc., Siemens Healthineers AG, Dell Technologies Inc., VMware Inc., athenahealth Inc., Epic Systems Corporation, eClinicalWorks LLC, CareCloud Inc., Koninklijke Philips N.V., and NTT DATA Corporation.

Key Developments:

In February 2026, Microsoft Corporation announced a major expansion of its Azure Health Data Services platform, introducing enhanced FHIR R4 capabilities and new AI-powered clinical analytics modules designed for large health systems. The update also includes expanded data sovereignty features to support healthcare customers in Asia Pacific and European markets subject to strict national data residency regulations.

In January 2026, Amazon Web Services Inc. announced the launch of a dedicated healthcare AI accelerator program offering pre-configured cloud environments, de-identified health data sets, and compliance-ready machine learning pipelines to pharmaceutical companies and digital health developers. The program targets accelerating AI model development for clinical decision support and population health management applications on AWS infrastructure.

Service Models Covered:

  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)

Deployment Models Covered:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • Community Cloud

Components Covered:

  • Hardware
  • Software
  • Services

Applications Covered:

  • Clinical Information Systems
  • Non-Clinical Information Systems
  • Telemedicine
  • Digital Health & Mobile Health
  • Medical Imaging & PACS
  • Data Storage & Backup
  • Healthcare Analytics
  • Patient Engagement Solutions
  • Population Health Management

End Users Covered:

  • Hospitals & Health Systems
  • Clinics & Physician Practices
  • Healthcare Payers
  • Pharmaceutical & Biotechnology Companies
  • Diagnostic & Imaging Centers
  • Research & Academic Institutes
  • Contract Research Organizations (CROs)

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Cloud Computing in Healthcare Market, By Service Model

  • 5.1 Infrastructure as a Service (IaaS)
  • 5.2 Platform as a Service (PaaS)
  • 5.3 Software as a Service (SaaS)

6 Global Cloud Computing in Healthcare Market, By Deployment Model

  • 6.1 Public Cloud
  • 6.2 Private Cloud
  • 6.3 Hybrid Cloud
  • 6.4 Community Cloud

7 Global Cloud Computing in Healthcare Market, By Component

  • 7.1 Hardware
  • 7.2 Software
    • 7.2.1 Electronic Health Record (EHR) Solutions
    • 7.2.2 Telehealth & Remote Monitoring Software
    • 7.2.3 Revenue Cycle Management Software
    • 7.2.4 Clinical Information Systems
    • 7.2.5 Healthcare Analytics Platforms
    • 7.2.6 Medical Imaging Information Systems
  • 7.3 Services

8 Global Cloud Computing in Healthcare Market, By Application

  • 8.1 Clinical Information Systems
  • 8.2 Non-Clinical Information Systems
  • 8.3 Telemedicine
  • 8.4 Digital Health & Mobile Health
  • 8.5 Medical Imaging & PACS
  • 8.6 Data Storage & Backup
  • 8.7 Healthcare Analytics
  • 8.8 Patient Engagement Solutions
  • 8.9 Population Health Management

9 Global Cloud Computing in Healthcare Market, By End User

  • 9.1 Hospitals & Health Systems
  • 9.2 Clinics & Physician Practices
  • 9.3 Healthcare Payers
  • 9.4 Pharmaceutical & Biotechnology Companies
  • 9.5 Diagnostic & Imaging Centers
  • 9.6 Research & Academic Institutes
  • 9.7 Contract Research Organizations (CROs)

10 Global Cloud Computing in Healthcare Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Amazon Web Services, Inc.
  • 13.2 Microsoft Corporation
  • 13.3 Google LLC
  • 13.4 Oracle Corporation
  • 13.5 IBM Corporation
  • 13.6 Salesforce, Inc.
  • 13.7 Siemens Healthineers AG
  • 13.8 Dell Technologies Inc.
  • 13.9 VMware, Inc.
  • 13.10 athenahealth, Inc.
  • 13.11 Epic Systems Corporation
  • 13.12 eClinicalWorks LLC
  • 13.13 CareCloud, Inc.
  • 13.14 Koninklijke Philips N.V.
  • 13.15 NTT DATA Corporation

List of Tables

  • Table 1 Global Cloud Computing in Healthcare Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Cloud Computing in Healthcare Market Outlook, By Service Model (2023-2034) ($MN)
  • Table 3 Global Cloud Computing in Healthcare Market Outlook, By Infrastructure as a Service (IaaS) (2023-2034) ($MN)
  • Table 4 Global Cloud Computing in Healthcare Market Outlook, By Platform as a Service (PaaS) (2023-2034) ($MN)
  • Table 5 Global Cloud Computing in Healthcare Market Outlook, By Software as a Service (SaaS) (2023-2034) ($MN)
  • Table 6 Global Cloud Computing in Healthcare Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 7 Global Cloud Computing in Healthcare Market Outlook, By Public Cloud (2023-2034) ($MN)
  • Table 8 Global Cloud Computing in Healthcare Market Outlook, By Private Cloud (2023-2034) ($MN)
  • Table 9 Global Cloud Computing in Healthcare Market Outlook, By Hybrid Cloud (2023-2034) ($MN)
  • Table 10 Global Cloud Computing in Healthcare Market Outlook, By Community Cloud (2023-2034) ($MN)
  • Table 11 Global Cloud Computing in Healthcare Market Outlook, By Component (2023-2034) ($MN)
  • Table 12 Global Cloud Computing in Healthcare Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 13 Global Cloud Computing in Healthcare Market Outlook, By Software (2023-2034) ($MN)
  • Table 14 Global Cloud Computing in Healthcare Market Outlook, By Electronic Health Record (EHR) Solutions (2023-2034) ($MN)
  • Table 15 Global Cloud Computing in Healthcare Market Outlook, By Telehealth & Remote Monitoring Software (2023-2034) ($MN)
  • Table 16 Global Cloud Computing in Healthcare Market Outlook, By Revenue Cycle Management Software (2023-2034) ($MN)
  • Table 17 Global Cloud Computing in Healthcare Market Outlook, By Clinical Information Systems (2023-2034) ($MN)
  • Table 18 Global Cloud Computing in Healthcare Market Outlook, By Healthcare Analytics Platforms (2023-2034) ($MN)
  • Table 19 Global Cloud Computing in Healthcare Market Outlook, By Medical Imaging Information Systems (2023-2034) ($MN)
  • Table 20 Global Cloud Computing in Healthcare Market Outlook, By Services (2023-2034) ($MN)
  • Table 21 Global Cloud Computing in Healthcare Market Outlook, By Application (2023-2034) ($MN)
  • Table 22 Global Cloud Computing in Healthcare Market Outlook, By Clinical Information Systems (2023-2034) ($MN)
  • Table 23 Global Cloud Computing in Healthcare Market Outlook, By Non-Clinical Information Systems (2023-2034) ($MN)
  • Table 24 Global Cloud Computing in Healthcare Market Outlook, By Telemedicine (2023-2034) ($MN)
  • Table 25 Global Cloud Computing in Healthcare Market Outlook, By Digital Health & Mobile Health (2023-2034) ($MN)
  • Table 26 Global Cloud Computing in Healthcare Market Outlook, By Medical Imaging & PACS (2023-2034) ($MN)
  • Table 27 Global Cloud Computing in Healthcare Market Outlook, By Data Storage & Backup (2023-2034) ($MN)
  • Table 28 Global Cloud Computing in Healthcare Market Outlook, By Healthcare Analytics (2023-2034) ($MN)
  • Table 29 Global Cloud Computing in Healthcare Market Outlook, By Patient Engagement Solutions (2023-2034) ($MN)
  • Table 30 Global Cloud Computing in Healthcare Market Outlook, By Population Health Management (2023-2034) ($MN)
  • Table 31 Global Cloud Computing in Healthcare Market Outlook, By End User (2023-2034) ($MN)
  • Table 32 Global Cloud Computing in Healthcare Market Outlook, By Hospitals & Health Systems (2023-2034) ($MN)
  • Table 33 Global Cloud Computing in Healthcare Market Outlook, By Clinics & Physician Practices (2023-2034) ($MN)
  • Table 34 Global Cloud Computing in Healthcare Market Outlook, By Healthcare Payers (2023-2034) ($MN)
  • Table 35 Global Cloud Computing in Healthcare Market Outlook, By Pharmaceutical & Biotechnology Companies (2023-2034) ($MN)
  • Table 36 Global Cloud Computing in Healthcare Market Outlook, By Diagnostic & Imaging Centers (2023-2034) ($MN)
  • Table 37 Global Cloud Computing in Healthcare Market Outlook, By Research & Academic Institutes (2023-2034) ($MN)
  • Table 38 Global Cloud Computing in Healthcare Market Outlook, By Contract Research Organizations (CROs) (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.