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雲端基礎的醫療保健分析：全球市場佔有率分析、行業趨勢、統計數據和成長預測（2025-2030 年）

Global Healthcare Cloud Based Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 116 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計 2025 年醫療雲端基礎分析市場價值將達到 129.1 億美元，到 2030 年將達到 255.2 億美元，複合年成長率為 14.6%。

全球醫療保健雲端分析市場-IMG1

越來越大的證明可衡量結果的壓力、數位化病患資訊的激增以及向基於價值的報銷的決定性轉變，正在加速醫院、付款人和生命科學贊助商對雲端原生分析的投資。 《21世紀治療方法》等監管規定、遠端醫療的迅速普及為臨床系統帶來了新數據，以及顯著的基礎設施節省前景，都強化了採用雲端技術的經濟理由。接受雲端遷移的供應商已記錄到大型計劃基礎設施成本節省高達 95%，這證明了彈性按需運算的經濟吸引力。人才短缺和網路風險加劇正在抑制這一發展勢頭，但與此同時，對於那些將託管服務與強大的安全架構捆綁在一起的供應商來說，閒置頻段的機會正在湧現。

全球醫療保健雲端基礎分析市場趨勢與洞察

數位醫療記錄導致數據爆炸

目前，幾乎所有美國醫院（96%）和超過四分之三（78%）的門診診所都運行著經過認證的電子健康記錄(EHR) 系統。海量的結構化、半結構化和非結構化資訊正在淹沒傳統伺服器，同時也催生了對雲端託管分析引擎的需求，這些引擎可以篩選文字、圖像、波形和串流遙測資料。自然語言處理將醫生的診療記錄轉化為可用數據，而機器學習流程則能夠發現有助於預防再入院和最佳化人員配置的模式。醫療服務提供者結合基因組圖譜、穿戴式裝置指標和社會決定因素，建構精細的病患檔案，以支持精準醫療和全部區域介入。

向基於價值的醫療費用過渡

根據美國醫療保險和醫療補助服務中心 (Centers for Medicare & Medicaid Services) 的數據，到 2030 年，所有醫療保險受益人都將在基於價值的模式下獲得醫療服務，這一轉變將重質不重量。參與預付費計畫的機構已透過及時的、以分析為導向的干涉措施，每年減少 2,800 萬美元的支出，彰顯了雲端可擴展性的財務優勢。隨著負責任醫療的參與度在歐洲不斷擴大，持續的績效追蹤對於公共和私人醫療系統都至關重要。

持續的資料隱私和網路安全威脅

2024年，醫療保健產業共發生677起重大資料外洩事件，影響了1.824億人，其中包括一起勒索軟體事件，導致1億筆病患記錄外洩。平均資料外洩成本高達977萬美元，迫使服務供應商在加密、零信任架構和全天候監控方面投入大量資金。許多機構仍然缺乏內部專業知識，導致採購週期過長，並在一定程度上減緩了醫療保健雲端基礎分析市場的發展勢頭。

報告中分析的其他促進因素和限制因素

  1. 經濟高效且富有彈性的雲端基礎設施
  2. 政府強制推行醫療保健互通性標準
  3. 遺留基礎設施和整合的複雜性

細分分析

到2024年，預測工具將佔據雲端基礎分析市場的40.8%，凸顯了醫療服務提供者對預測再入院率、敗血症事件和人員需求的渴望。解決方案整合了縱向電子病歷記錄、即時生命徵象和社會經濟指標，以觸發主動護理路徑，從而提高品質並降低成本。整合式儀表板可向多學科團隊發出高風險病患警報，從而降低急診室的使用率。

處方引擎尚處於起步階段，但成長速度最快，到2030年的複合年成長率將達到16.1%。這些平台模擬藥物治療方案或手術室吞吐量的「假設」情景，並建議最佳干預措施。決策最佳化與尋求在基於價值的合約下持續提高利潤率的醫療系統產生了共鳴，這使得處方模組成為下一個成長前沿。

2024年，臨床分析佔據了醫療雲端基礎分析市場45.5%的佔有率，因為床邊決策支援、影像分類和藥物交互作用為患者帶來了切實的益處。深度學習演算法縮短了放射科的周轉時間，並揭示了細微的病理，而即時抗生素管理儀錶板則抑制了抗藥性的趨勢。

人口健康平台的複合年成長率高達 17.4%，它匯集總理賠、藥房和社會需求數據，以分層風險並指導社區干預。隨著按人頭付費模式的日益普及，付款人和提供者依賴隊列層級的指標來識別醫療服務中的差距。在計算數百萬受試者的數千個變數時，雲端的可擴展性至關重要。

雲端基礎的醫療分析市場報告按技術類型（預測性、規範性、其他）、應用程式（臨床數據、管理數據、其他）、組件（硬體、其他）、部署模型（公共、私人、其他）、最終用戶（醫療保健提供者、付款人、其他）和地區（北美、歐洲、其他）細分。市場規模和預測以美元提供。

區域分析

北美保持了其收益主導地位，這得益於電子健康檔案（EHR）的近乎普遍的採用、慢性病管理代碼的慷慨報銷以及聯邦政府對互通性的積極推動。將全部分析工作負載遷移到超大規模運算平台的醫療系統報告稱，成本節省高達 95%，並加速了人工智慧自動化進度記錄試點。網路事件仍然是一個持續存在的威脅，推動了對零信任框架的廣泛投資，並影響了醫療雲端基礎分析市場的供應商選擇標準。

隨著歐洲健康資料空間 (EDS) 強制要求跨境記錄可攜性和研究成果重複利用，歐洲正經歷強勁的兩位數成長。德國 C5 和法國 HDS 等國家特定法規正在推動私有雲端和混合雲戰略的發展，以保障資料駐留。衛生署正在撥款數位轉型，以解決勞動力短缺問題，並加強雲端供應商與公共機構的合作。綜合醫療衛生區域正在利用聯邦學習模型，在無需導出原始影像的情況下聯合運行癌症篩檢演算法，從而在滿足隱私監管機構要求的同時擴展分析能力。

受中國網路醫療繁榮和東南亞蓬勃發展的遠距遠端醫療產業的推動，亞太地區將呈現最快的成長軌跡。日本、韓國和新加坡的政府項目正在津貼醫院向雲端遷移和臨床人工智慧試點項目，以應對人口老化和臨床醫生短缺的問題。專科資源有限的國家正在透過實施遠端讀取解決方案並將影像檢查安排到異地放射科醫生來擴大診斷覆蓋範圍。區域科技巨頭不斷增加的投資正在培育一個充滿活力的合作夥伴夥伴關係，這些生態系統可以根據當地的工作流程和語言差異來客製化分析產品。

其他福利：

  • Excel 格式的市場預測 (ME) 表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概況
  • 市場促進因素
    • 數位醫療記錄導致數據爆炸
    • 向基於價值的護理過渡
    • 經濟高效且富有彈性的雲端基礎設施
    • 政府強制實施醫療保健互通性標準
    • 遠端醫療的擴展產生了連續的病患資料流
    • 採用 Fhir 和開放 API 生態系統可實現跨醫療保健分析
  • 市場限制
    • 持續的資料隱私和網路安全威脅
    • 遺留基礎設施和整合的複雜性
    • 雲端原生醫療資料人才短缺
    • 數據主權和碳足跡監管的興起
  • 供應鏈分析
  • 監管狀況
  • 技術展望
  • 波特五力分析
    • 新進入者的威脅
    • 買方的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭

第5章 市場規模及成長預測（金額）

  • 依技術類型
    • 預測分析
    • 指示性分析
    • 說明分析
  • 按用途
    • 臨床分析
    • 管理和財務分析
    • 人口健康與調查分析
    • 真實世界證據與藥物安全檢測
  • 按組件
    • 硬體
    • 軟體
    • 按服務
  • 按部署模型
    • 公共雲端
    • 私有雲端
    • 混合雲端
  • 按最終用戶
    • 醫療保健提供者
    • 付款人
    • 生命科學與合約研究組織
    • 公共衛生機構
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 西班牙
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 韓國
      • 澳洲
      • 其他亞太地區
    • 中東和非洲
      • GCC
      • 南非
      • 其他中東和非洲地區
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美

第6章 競爭態勢

  • 市場集中度
  • 市佔率分析
  • 公司簡介
    • Oracle（Cerner）
    • Optum
    • IBM（Merative）
    • Microsoft
    • Amazon Web Services
    • Google Cloud Platform
    • Allscripts（Veradigm）
    • SAS Institute
    • CitiusTech
    • Health Catalyst
    • Philips Healthcare
    • HP Enterprise
    • Snowflake Inc.
    • MedeAnalytics
    • Verisk Health
    • McKesson
    • Inovalon
    • Flatiron Health
    • IQVIA Analytics
    • Arcadia IO

第7章 市場機會與未來展望

簡介目錄
Product Code: 49120

The Healthcare cloud-based analytics market is valued at USD 12.91 billion in 2025 and is forecast to reach USD 25.52 billion by 2030, advancing at a 14.6% CAGR.

Global Healthcare Cloud Based Analytics - Market - IMG1

Heightened pressure to prove measurable outcomes, surging volumes of digital patient information, and a decisive shift toward value-based reimbursement are accelerating investment in cloud-native analytics across hospitals, payers, and life-science sponsors. Regulatory mandates such as the 21st Century Cures Act, rapid telehealth adoption that funnels fresh data into clinical systems, and the promise of substantial infrastructure savings strengthen the economic rationale for cloud deployment. Providers that embraced cloud migration recorded infrastructure cost reductions of up to 95% in large-scale projects, demonstrating the fiscal appeal of elastic, on-demand computing. Talent shortages and intensifying cyber-risk temper momentum but simultaneously create white-space opportunities for vendors that bundle managed services with robust security architectures.

Global Healthcare Cloud Based Analytics Market Trends and Insights

Data Explosion from Digital Health Records

Nearly every U.S. hospital (96%) and more than three-quarters of ambulatory physicians (78%) now run certified electronic health record (EHR) systems. The torrent of structured, semi-structured, and unstructured information overwhelms legacy servers yet fuels demand for cloud-hosted analytic engines that sift text, images, waveforms, and streaming telemetry. Natural-language processing converts physician notes into usable data, while machine-learning pipelines uncover patterns that inform readmission prevention and staffing optimization. By blending genomic profiles, wearable metrics, and social determinants, providers compose granular patient portraits that underpin precision medicine and community-wide interventions.

Transition To Value-Based Care Reimbursement

As per the Centers for Medicare & Medicaid Services, all Medicare beneficiaries are slated to receive care under value-based models by 2030, a shift that rewards quality over volume.Providers, therefore, require real-time cohort visibility, risk scoring, and predictive alerts to avoid costs. Organizations participating in advanced payment arrangements have already shaved USD 28 million from annual spending through timely analytics-driven interventions, underscoring the fiscal upside of cloud scalability. As accountable-care participation widens in Europe, continual performance tracking becomes indispensable for both public and private systems.

Persistent Data Privacy and Cyber Security Threats

Healthcare recorded 677 major breaches affecting 182.4 million people in 2024, including the ransomware incident that compromised 100 million patient records. Average breach costs reached USD 9.77 million, pressuring providers to invest heavily in encryption, zero-trust architecture, and 24/7 monitoring. Many organizations still lack in-house expertise, prolonging procurement cycles and slightly dampening the healthcare cloud-based analytics market momentum.

Other drivers and restraints analyzed in the detailed report include:

  1. Cost Efficiency and Elasticity of Cloud Infrastructure
  2. Government Mandates for Healthcare Interoperability Standards
  3. Legacy Infrastructure and Integration Complexity

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Predictive tools accounted for 40.8% of the healthcare cloud-based analytics market in 2024, highlighting provider appetite for foresight into readmissions, sepsis onset, and staffing needs. Solutions ingest longitudinal EHR records, real-time vitals, and socio-economic markers to trigger proactive care pathways that lift quality scores and compress costs. Integrated dashboards alert multidisciplinary teams to high-risk patients, reducing emergency utilization.

Prescriptive engines, though still nascent, are scaling fastest at a 16.1% CAGR through 2030. These platforms simulate "what-if" scenarios across medication regimens or operating-room throughput and recommend optimal interventions. Decision optimization resonates with health systems seeking continuous margin improvement under value-based contracts, positioning prescriptive modules as the next growth frontier.

Clinical analytics captured 45.5% of the 2024 healthcare cloud-based analytics market share because bedside decision support, imaging triage, and drug interactions deliver visible patient benefits. Deep-learning algorithms shorten radiology turnaround times and subtle pathologies, while real-time antimicrobial-stewardship dashboards curb resistance trends.

Population health platforms, expanding at 17.4% CAGR, aggregate claims, pharmacy, and social-needs data to stratify risk and orchestrate community interventions. As capitated payment models proliferate, payers and providers rely on cohort-level metrics to pinpoint gaps in care. Cloud scalability proves vital when crunching thousands of variables across millions of covered lives.

The Healthcare Cloud Based Analytics Market Report is Segmented by Technology Type (Predictive, Prescriptive and More), Application (Clinical Data, Administrative Data, and More), Component (Hardware, and More), Deployment Model (Public, Private, and More), End-User (Healthcare Providers, Payers, and More), and Geography (North America, Europe, and More). The Market Sizes and Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America retains the leading revenue position, supported by near-universal EHR penetration, generous reimbursement for chronic-care management codes, and aggressive federal pushes for interoperability. Health systems shifting entire analytics workloads to hyperscalers report up to 95% cost savings and accelerated AI pilots that automatically draft progress notes. Cyber incidents remain an ever-present hazard, prompting widespread investment in zero-trust frameworks and influencing vendor selection criteria for the healthcare cloud-based analytics market.

Europe records solid double-digit growth as the European Health Data Space mandates cross-border record portability and research reuse. Country-specific rules, such as Germany's C5 and France's HDS, spur private-cloud or hybrid strategies that assure data residency. Health ministries allocate digital-transformation grants to tame workforce shortages, tightening cooperation between cloud vendors and public agencies. Integrated health regions leverage federated-learning models to run joint cancer-screening algorithms without exporting raw images, satisfying privacy watchdogs while expanding analytic prowess.

Asia Pacific exhibits the fastest trajectory, propelled by China's internet-health boom and Southeast Asia's burgeoning telehealth sector. Government programs in Japan, South Korea, and Singapore subsidize hospital cloud migration and clinical AI pilots to counter aging populations and clinician scarcity. Countries with limited specialist availability deploy remote-read solutions that route imaging studies to off-site radiologists, improving diagnostic reach. Investment momentum from regional technology giants fosters vibrant partnership ecosystems that tailor analytics offerings to local workflows and language nuances.

  1. Oracle
  2. Optum
  3. IBM (Merative)
  4. Microsoft
  5. Amazon Web Services
  6. Google Cloud Platform
  7. Allscripts (Veradigm)
  8. SAS Institute
  9. CitiusTech
  10. Health Catalyst
  11. Koninklijke Philips
  12. HP Enterprise
  13. Snowflake Inc.
  14. MedeAnalytics
  15. Verisk Health
  16. Mckesson
  17. Inovalon
  18. Flatiron Health
  19. IQVIA Analytics
  20. Arcadia IO

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 Introduction

  • 1.1 Study Assumptions & Market Definition
  • 1.2 Scope of the Study

2 Research Methodology

3 Executive Summary

4 Market Landscape

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Data Explosion From Digital Health Records
    • 4.2.2 Transition To Value Based Care Reimbursement
    • 4.2.3 Cost Efficiency And Elasticity Of Cloud Infrastructure
    • 4.2.4 Government Mandates For Healthcare Interoperability Standards
    • 4.2.5 Telehealth Expansion Generating Continuous Patient Data Streams
    • 4.2.6 Adoption Of Fhir And Open Api Ecosystems Enabling Cross Provider Analytics
  • 4.3 Market Restraints
    • 4.3.1 Persistent Data Privacy And Cyber Security Threats
    • 4.3.2 Legacy Infrastructure And Integration Complexity
    • 4.3.3 Shortage Of Cloud Native Healthcare Data Talent
    • 4.3.4 Emerging Data Sovereignty And Carbon Footprint Regulations
  • 4.4 Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value)

  • 5.1 By Technology Type
    • 5.1.1 Predictive Analytics
    • 5.1.2 Prescriptive Analytics
    • 5.1.3 Descriptive Analytics
  • 5.2 By Application
    • 5.2.1 Clinical Analytics
    • 5.2.2 Administrative & Financial Analytics
    • 5.2.3 Population Health & Research Analytics
    • 5.2.4 Real-World Evidence & Pharmacovigilance
  • 5.3 By Component
    • 5.3.1 Hardware
    • 5.3.2 Software
    • 5.3.3 Services
  • 5.4 By Deployment Model
    • 5.4.1 Public Cloud
    • 5.4.2 Private Cloud
    • 5.4.3 Hybrid Cloud
  • 5.5 By End-user
    • 5.5.1 Healthcare Providers
    • 5.5.2 Payers
    • 5.5.3 Life-Science & CROs
    • 5.5.4 Public Health Agencies
  • 5.6 Geography
    • 5.6.1 North America
      • 5.6.1.1 United States
      • 5.6.1.2 Canada
      • 5.6.1.3 Mexico
    • 5.6.2 Europe
      • 5.6.2.1 Germany
      • 5.6.2.2 United Kingdom
      • 5.6.2.3 France
      • 5.6.2.4 Italy
      • 5.6.2.5 Spain
      • 5.6.2.6 Rest of Europe
    • 5.6.3 Asia Pacific
      • 5.6.3.1 China
      • 5.6.3.2 Japan
      • 5.6.3.3 India
      • 5.6.3.4 South Korea
      • 5.6.3.5 Australia
      • 5.6.3.6 Rest of Asia Pacific
    • 5.6.4 Middle East and Africa
      • 5.6.4.1 GCC
      • 5.6.4.2 South Africa
      • 5.6.4.3 Rest of Middle East and Africa
    • 5.6.5 South America
      • 5.6.5.1 Brazil
      • 5.6.5.2 Argentina
      • 5.6.5.3 Rest of South America

6 Competitive Landscape

  • 6.1 Market Concentration
  • 6.2 Market Share Analysis
  • 6.3 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products & Services, and Recent Developments)
    • 6.3.1 Oracle (Cerner)
    • 6.3.2 Optum
    • 6.3.3 IBM (Merative)
    • 6.3.4 Microsoft
    • 6.3.5 Amazon Web Services
    • 6.3.6 Google Cloud Platform
    • 6.3.7 Allscripts (Veradigm)
    • 6.3.8 SAS Institute
    • 6.3.9 CitiusTech
    • 6.3.10 Health Catalyst
    • 6.3.11 Philips Healthcare
    • 6.3.12 HP Enterprise
    • 6.3.13 Snowflake Inc.
    • 6.3.14 MedeAnalytics
    • 6.3.15 Verisk Health
    • 6.3.16 McKesson
    • 6.3.17 Inovalon
    • 6.3.18 Flatiron Health
    • 6.3.19 IQVIA Analytics
    • 6.3.20 Arcadia IO

7 Market Opportunities & Future Outlook

  • 7.1 White-space & Unmet-need Assessment