医疗保健大数据市场－全球产业规模、份额、趋势、机会和预测，按组件、应用、最终用户、地区和竞争格局划分，2020-2030年预测

2024年全球医疗保健大数据市场规模为275.6亿美元，预计2030年将以18.39%的复合年增长率成长至758.9亿美元。医疗保健大数据是指系统地收集、分析和解读包括电子健康记录、基因组资讯和即时患者监测数据在内的广泛且多样化的数据集，从而获得可操作的洞察，以改善健康结果。该市场的成长主要受以下因素驱动：数位化病患资讯量的不断增长、增强临床决策的迫切需求，以及优化营运效率和降低医疗成本的持续压力。

主要市场驱动因素

主要市场挑战

主要市场趋势

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：客户之声

第五章：全球医疗保健大数据市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 依组件（硬体、软体、分析服务）
  • 按应用领域（财务分析、临床分析、营运分析、人口健康分析）
  • 按最终用户分类（医院和诊所、学术和研究机构、其他）
  • 按地区
  • 按公司（2024 年）
• 市场地图

第六章：北美医疗保健大数据市场展望

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

第七章：欧洲医疗保健大数据市场展望

• 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

第八章：亚太地区医疗保健大数据市场展望

• 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

第九章：中东和非洲医疗保健大数据市场展望

• 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
  • 阿联酋
  • 南非

第十章：南美洲医疗保健大数据市场展望

• 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
• 挑战

第十二章：市场趋势与发展

• 併购（如有）
• 产品发布（如有）
• 最新进展

第十三章：全球医疗保健大数据市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商议价能力
• 顾客的力量
• 替代产品的威胁

第十五章：竞争格局

• GE HealthCare Technologies, Inc
• IBM Corporation
• McKesson Corporation
• MedeAnalytics, Inc.
• Oracle Corporation
• Premier, Inc.
• Koninklijke Philips NV
• Siemens Healthineers AG
• Tableau Software, Inc.
• Optum Inc.

第十六章：策略建议

第17章调查会社について・免责事项

The Global Big Data in Healthcare Market , valued at USD 27.56 Billion in 2024, is projected to experience a CAGR of 18.39% to reach USD 75.89 Billion by 2030. Big Data in Healthcare refers to the systematic collection, analysis, and interpretation of extensive and diverse datasets, including electronic health records, genomic information, and real-time patient monitoring, to derive actionable insights for improved health outcomes. The market's growth is primarily driven by the escalating volume of digitized patient information, the imperative for enhanced clinical decision-making, and persistent pressures to optimize operational efficiencies and reduce healthcare costs

Key Market Drivers

The explosive growth in healthcare data volume stands as a foundational driver for the Global Big Data in Healthcare Market. This surge originates from diverse sources including electronic health records, diagnostic imaging, genomic sequencing, and patient-generated data from wearables. The sheer scale of this information necessitates advanced solutions for storage, processing, and analysis, as its embedded value remains largely untapped without effective big data frameworks. According to the World Health Organization, global health data generation reached 2.314 exabytes in 2023, with projections indicating a threefold increase by 2030, underscoring the urgent requirement for robust infrastructure to manage and leverage this expanding digital footprint. This continuous accumulation of health-related information fuels the demand for sophisticated big data technologies.

Key Market Challenges

A significant challenging factor impeding the expansion of the Global Big Data in Healthcare Market is the persistent issue of data interoperability across disparate healthcare systems and platforms. This challenge directly obstructs the seamless exchange of patient information, preventing the comprehensive analysis necessary to derive actionable insights. When healthcare organizations cannot effectively share and integrate diverse datasets, the utility of big data analytics is substantially diminished.

The lack of standardized data formats and communication protocols between various electronic health records, diagnostic systems, and real-time monitoring devices creates extensive data silos. These isolated data repositories lead to fragmented patient profiles, making it difficult for providers to gain a holistic view of an individual's health status or to identify broader population health trends. This directly hampers the market's growth by undermining the potential for advanced analytics to support personalized medicine and effective population health management.

Key Market Trends

The increased adoption of cloud-based big data platforms represents a fundamental shift in healthcare infrastructure, offering scalable and flexible management for vast data volumes. These platforms deliver essential computational power and storage for real-time access, sharing, and analysis, crucial for operational efficiency and supporting advanced applications like telemedicine. According to an analytical study by HIMSS, over 83% of healthcare organizations were utilizing cloud services in a report published in June 2024, indicating substantial industry integration. This enables efficient leveraging of complex datasets and enhanced service delivery. For instance, Oracle announced in March 2024 that it had migrated the majority of its Cerner customers to the cloud, aiming for cost efficiencies and enhanced data security.

Key Market Players

• GE HealthCare Technologies, Inc
• IBM Corporation
• McKesson Corporation
• MedeAnalytics, Inc.
• Oracle Corporation
• Premier, Inc.
• Koninklijke Philips N.V.
• Siemens Healthineers AG
• Tableau Software, Inc.
• Optum Inc.

Report Scope:

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

Big Data in Healthcare Market , By Component:

• Hardware
• Software
• Analytics Services

Big Data in Healthcare Market , By Application:

• Financial Analytics
• Clinical Analytics
• Operational Analytics
• Population Health Analytics

Big Data in Healthcare Market , By End User:

• Hospitals & Clinics
• Academic & Research Organizations
• Others

Big Data in Healthcare 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 presents in the Global Big Data in Healthcare Market .

Available Customizations:

Global Big Data in Healthcare 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 Big Data in Healthcare Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Hardware, Software, Analytics Services)
  • 5.2.2. By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics)
  • 5.2.3. By End User (Hospitals & Clinics, Academic & Research Organizations, Others)
  • 5.2.4. By Region
  • 5.2.5. By Company (2024)
• 5.3. Market Map

6. North America Big Data in Healthcare 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 End User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Big Data in Healthcare 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 End User
  • 6.3.2. Canada Big Data in Healthcare 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 End User
  • 6.3.3. Mexico Big Data in Healthcare 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 End User

7. Europe Big Data in Healthcare 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 End User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Big Data in Healthcare 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 End User
  • 7.3.2. France Big Data in Healthcare 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 End User
  • 7.3.3. United Kingdom Big Data in Healthcare 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 End User
  • 7.3.4. Italy Big Data in Healthcare 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 End User
  • 7.3.5. Spain Big Data in Healthcare 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 End User

8. Asia Pacific Big Data in Healthcare 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 End User
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Big Data in Healthcare 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 End User
  • 8.3.2. India Big Data in Healthcare 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 End User
  • 8.3.3. Japan Big Data in Healthcare 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 End User
  • 8.3.4. South Korea Big Data in Healthcare 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 End User
  • 8.3.5. Australia Big Data in Healthcare 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 End User

9. Middle East & Africa Big Data in Healthcare 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 End User
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Big Data in Healthcare 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 End User
  • 9.3.2. UAE Big Data in Healthcare 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 End User
  • 9.3.3. South Africa Big Data in Healthcare 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 End User

10. South America Big Data in Healthcare 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 End User
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Big Data in Healthcare 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 End User
  • 10.3.2. Colombia Big Data in Healthcare 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 End User
  • 10.3.3. Argentina Big Data in Healthcare 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 End User

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 Big Data in Healthcare 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. GE HealthCare Technologies, Inc
  • 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. IBM Corporation
• 15.3. McKesson Corporation
• 15.4. MedeAnalytics, Inc.
• 15.5. Oracle Corporation
• 15.6. Premier, Inc.
• 15.7. Koninklijke Philips N.V.
• 15.8. Siemens Healthineers AG
• 15.9. Tableau Software, Inc.
• 15.10. Optum Inc.

16. Strategic Recommendations

17. About Us & Disclaimer