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Big Data in Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2020-2030F

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    Report

  • 188 Pages
  • November 2025
  • Region: Global
  • TechSci Research
  • ID: 4833052
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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 Profiled:

  • 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:

By Component:

  • Hardware
  • Software
  • Analytics Services

By Application:

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

By End User:

  • Hospitals & Clinics
  • Academic & Research Organizations
  • Others

By Region:

  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data in Healthcare Market .

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With the given market data, the publisher offers customizations according to a company's specific needs. The following customization options are available for the report.

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  • Detailed analysis and profiling of additional market players (up to five).

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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 Recommendations17. About the Publisher & Disclaimer

Companies Mentioned

The companies profiled in this Big Data in Healthcare market report include:
  • 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.

Table Information