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Big Data in Healthcare Market - Global Forecast 2025-2032

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    Report

  • 191 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 5924671
UP TO OFF until Jan 01st 2026
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Big data is reshaping healthcare by enabling data-driven insights, optimized operations, and patient-centered care. Senior decision-makers are leveraging these advancements to streamline workflows, improve quality outcomes, and achieve greater adaptability across evolving care and compliance landscapes.

Market Snapshot: Big Data in Healthcare

The global big data in healthcare market is valued at USD 40.37 billion in 2024, projected to reach USD 46.09 billion by 2025, and is estimated to surpass USD 117.57 billion by 2032, reflecting a compound annual growth rate (CAGR) of 14.29%. Growth is propelled by persistent investment in advanced analytics, the increasing integration of artificial intelligence, and rapid cloud adoption across health organizations. As these technologies are modernized, operational and clinical decision-making efficiency is prioritized, while regulatory developments and shifting patient expectations drive ongoing transformation in both mature and emerging markets.

Scope & Segmentation of the Big Data in Healthcare Market

This report offers senior executives a strategic assessment of technology trends and investment opportunities shaping the big data healthcare sector. Coverage includes segmentation across delivery modes, application areas, and primary stakeholders to help guide planning and resource allocation.

  • Hardware: Servers and networking equipment form the technical core supporting advanced analytics and secure storage across hospitals and provider networks.
  • Services: Both managed and professional services facilitate seamless deployment, maintenance, and ongoing support of digital health infrastructure.
  • Software Solutions: Integrated platforms and specialized analytics applications enable actionable intelligence for clinical, operational, and administrative teams.
  • Deployment Mode: Flexible deployment is addressed, including cloud-based, hybrid, private, public, and on-premises models for organizations with varying governance and compliance needs.
  • Application: The report details clinical analytics for care optimization, operational analytics for process improvement, population health initiatives, and revenue cycle management to streamline billing.
  • End User: Coverage spans healthcare providers, life sciences companies, payers and insurers, as well as home care and telehealth recipients.
  • Geography: Analysis includes the Americas, Europe, Middle East and Africa, and Asia-Pacific, with consideration for regional adoption rates and regulatory contexts.
  • Industry Leaders: Recognized players are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Alphabet Inc., General Electric Company, IQVIA Holdings Inc., Koninklijke Philips N.V., and UnitedHealth Group Incorporated.

Segment importance is shaped by organizational technology readiness and the local regulatory climate. Scalable cloud-based models are increasingly chosen for their flexibility, while institutions focused on heightened security often retain on-premises systems. Regional dynamics, such as digital maturity and evolving policy environments, continue to steer both adoption speed and the trajectory of digital transformation.

Key Takeaways for Decision-Makers

  • Advanced analytics and artificial intelligence expand access to precision medicine, enabling the delivery of personalized care and measurable improvements in clinical outcomes.
  • Cloud and hybrid infrastructures support rapid data analytics rollout, enhance collaboration networks, and reinforce operational continuity for health systems of all sizes.
  • Embracing interoperability removes barriers between data sources, promoting seamless exchange and strengthening responsiveness within care delivery chains.
  • Proactive management of regulatory shifts drives investment in secure IT frameworks and comprehensive compliance initiatives to safeguard sensitive information.
  • Strategic alliances among established technology firms, innovative startups, and healthcare organizations accelerate solution development and adaptive market strategies.
  • Customizing digital investments according to operational or clinical objectives increases returns and sharpens decision-making at every organizational tier.

Tariff Impact on Technology Costs and Supply Chains

Recent U.S. tariffs on imported hardware and networking components are raising costs and extending delivery times for essential system upgrades. In response, healthcare organizations are diversifying supplier relationships, revising procurement budgets, and turning to hybrid cloud deployments to maintain service continuity. Efforts to renegotiate contracts and refine pricing strategies are sustaining financial stability and strengthening the resilience of core infrastructures.

Methodology & Data Sources

The report’s insights draw from primary interviews with industry leaders, financial records, regulatory reports, and workshops with subject matter experts. Secondary resources, including peer-reviewed studies and white papers, underpin the analysis. Established frameworks, such as SWOT analysis and Porter’s Five Forces, ensure robust and reliable market assessments.

Why This Report Matters

  • Provides leaders with actionable guidance for strategic technology adoption, compliance planning, and operational improvement in a dynamic big data healthcare market.
  • Enables decision-makers to benchmark performance, identify growth prospects, and enhance competitive positioning for future innovation.
  • Delivers practical recommendations for optimizing investment priorities, building effective partnerships, and developing analytical competencies internally.

Conclusion

As healthcare organizations embrace big data solutions, they position themselves for greater adaptability and improved performance. Forward-thinking adoption ensures continued resilience and competitive strength in a changing marketplace.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of genomics and electronic health record data using AI-driven analytics for personalized medicine
5.2. Real-time predictive monitoring of patient vital signs through cloud-based big data pipelines
5.3. Leveraging social determinants of health datasets to drive targeted population health interventions
5.4. Applying deep learning to multi-modal imaging and laboratory big data for early disease detection
5.5. Implementing blockchain-enabled data governance models for secure patient information exchange
5.6. Utilizing real-world evidence from insurance claims big data to optimize clinical trial design and recruitment
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Big Data in Healthcare Market, by Component
8.1. Hardware
8.1.1. Networking Equipment
8.1.2. Servers
8.2. Services
8.2.1. Managed Services
8.2.2. Professional Services
8.3. Software
8.3.1. Integrated Platforms
8.3.2. Standalone Software
9. Big Data in Healthcare Market, by Deployment Mode
9.1. Cloud
9.1.1. Hybrid Cloud
9.1.2. Private Cloud
9.1.3. Public Cloud
9.2. On-Premises
9.2.1. Hosted Privately
9.2.2. In House
10. Big Data in Healthcare Market, by Application
10.1. Clinical Analytics
10.1.1. Descriptive Analytics
10.1.2. Predictive Analytics
10.1.3. Prescriptive Analytics
10.2. Operational Analytics
10.2.1. Resource Utilization
10.2.2. Supply Chain Management
10.2.3. Workflow Optimization
10.3. Population Health Management
10.3.1. Care Coordination
10.3.2. Patient Engagement
10.3.3. Risk Stratification
10.4. Revenue Cycle Management
10.4.1. Billing Management
10.4.2. Claims Management
11. Big Data in Healthcare Market, by End User
11.1. Healthcare Providers
11.1.1. Ambulatory Services
11.1.2. Clinics
11.1.3. Hospitals
11.2. Life Sciences Companies
11.2.1. Pharmaceutical Companies
11.2.2. Research Organizations
11.3. Patients and Caregivers
11.3.1. Home Care
11.3.2. Telehealth Services
11.4. Payers and Insurers
11.4.1. Government Payers
11.4.2. Private Insurers
12. Big Data in Healthcare Market, by Region
12.1. Americas
12.1.1. North America
12.1.2. Latin America
12.2. Europe, Middle East & Africa
12.2.1. Europe
12.2.2. Middle East
12.2.3. Africa
12.3. Asia-Pacific
13. Big Data in Healthcare Market, by Group
13.1. ASEAN
13.2. GCC
13.3. European Union
13.4. BRICS
13.5. G7
13.6. NATO
14. Big Data in Healthcare Market, by Country
14.1. United States
14.2. Canada
14.3. Mexico
14.4. Brazil
14.5. United Kingdom
14.6. Germany
14.7. France
14.8. Russia
14.9. Italy
14.10. Spain
14.11. China
14.12. India
14.13. Japan
14.14. Australia
14.15. South Korea
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. IBM Corporation
15.3.2. Oracle Corporation
15.3.3. Microsoft Corporation
15.3.4. SAP SE
15.3.5. SAS Institute Inc.
15.3.6. Alphabet Inc.
15.3.7. General Electric Company
15.3.8. IQVIA Holdings Inc.
15.3.9. Koninklijke Philips N.V.
15.3.10. UnitedHealth Group Incorporated

Samples

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Companies Mentioned

The key companies profiled in this Big Data in Healthcare market report include:
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • SAS Institute Inc.
  • Alphabet Inc.
  • General Electric Company
  • IQVIA Holdings Inc.
  • Koninklijke Philips N.V.
  • UnitedHealth Group Incorporated

Table Information