의료 데이터 저장 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the healthcare data storage market size is expected to increase from USD 6.60 billion in 2025 to USD 7.49 billion in 2026 and reach USD 14.70 billion by 2031, growing at a CAGR of 14.45% over 2026-2031.

This report is Segmented by Deployment Mode (On-Premise, Cloud, Hybrid), Architecture (Block Storage, and Others), Storage Medium (HDD, and Others), End User (Hospitals & Clinics, and Others), Application (PACS/Enterprise Imaging, and Others), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, South America). The Market Forecasts are Provided in Terms of Value (USD).

Global Healthcare Data Storage Market Trends and Insights

Imaging and Enterprise Imaging Expansion Drives Petabyte-Scale Storage

Enterprise imaging has become the leading storage multiplier as radiology, cardiology, pathology, and other image-heavy specialties create sustained demand for low-latency reads and scalable archives. Providers report faster diagnostics and productivity gains as cloud-native PACS platforms deliver sub-second first-image load times and 2-3 times faster display speeds, which encourages larger-scale migrations to cloud deployment for new implementations. A large share of new diagnostic imaging customers now chooses cloud-first rollouts, reinforcing the shift from capital expenditures to predictable operating models in the healthcare data storage market. Vendors are also investing in purpose-built cloud services that handle DICOM workloads natively, support granular lifecycle tiering, and provide managed immutability to strengthen ransomware resilience for clinical systems. Targeted imaging platforms that layer vendor-neutral archive capabilities on scalable object storage are extending to mid-sized hospitals and multi-site imaging centers, combining compliance-ready architectures with lower operational overhead. Hyperscale cloud providers are aligning to European healthcare hosting standards, which enables hospitals and research organizations to move image management and analytics workloads while meeting residence requirements.

EHR Interoperability and Patient Access Expand Data Volumes and Retention

National interoperability programs have scaled quickly, with America's TEFCA reporting nearly 500 million health records exchanged as of February 2026, which signals a step-change in the volume and velocity of clinical data movement across networks. The CMS Interoperability and Prior Authorization Final Rule mandates a suite of FHIR-based APIs for patient access, provider access, payer-to-payer exchange, and prior authorization, with key capabilities due by January 1, 2027, and one-business-day response expectations that implicitly raise storage and logging needs for high-throughput transactions. These rules increase the number of payloads generated and retained across claims, encounters, prior authorizations, and clinical data elements, which accelerates lifecycle-tiered object storage adoption in the healthcare data storage market. The Federal Register entry clarifies how response timelines, data classes, and standardized formats converge on FHIR Release 4.0.1 and USCDI v3, which drives storage designs that are optimized for API-driven access, provenance, and auditability. As more APIs exchange clinical and administrative artifacts across payers and providers, organizations are expanding immutable logs and long-term archives to satisfy evidence and dispute needs under evolving federal oversight. The net effect is higher baseline storage demand, increased reliance on object storage with deep archive tiers, and closer integration between API platforms and storage policies in the healthcare data storage market.

Budget Constraints and Staffing Shortages Slow EI and Cloud Migrations

Health systems that face flat or declining budgets often delay large-scale PACS or VNA modernization and shift toward optimizing existing platforms, which reduces near-term migration volume for enterprise imaging. Survey findings published by healthcare IT vendors highlight a bifurcation in spending, where some organizations increase data management budgets while others reduce capital commitments and focus on incremental efficiencies, which slows broad-based adoption in the healthcare data storage market. Staffing shortages add friction, since imaging migration and multi-omics platform rollouts require specialized engineering and governance skill sets that are in short supply. Providers respond by elevating priorities like immutable backup, audit readiness, and consolidation of applications as bridging steps rather than full re-architecture in one cycle. Where modernization proceeds, teams often phase projects to limit parallel-run costs and to match scarce cloud and data engineering resources with the most time-sensitive objectives. These trade-offs moderate implementation velocity in the short term while reinforcing a hybrid adoption path in the healthcare data storage market.

Other drivers and restraints analyzed in the detailed report include:

1. Accelerating Cloud Adoption for Imaging, Analytics, and Backup/Disaster Recovery
2. Genomics and Multi-Omics Pipelines Create High-Throughput, High-Volume Datasets
3. Localization and Sovereignty Restrict Cross-Border Clinical-Data Storage

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

Segment Analysis

Cloud deployment captured 50.46% of the healthcare data storage market share in 2025, and it is forecast to grow at a 16.21% CAGR through 2031 as clinical imaging and data analytics consolidate on elastic platforms that compress implementation timelines. On-premise installations continue in bandwidth-constrained sites and where depreciation schedules or residency requirements support local control. Hybrid designs that use local caches for hot studies and cloud object storage for tiered archiving align to residency mandates while sustaining cross-facility access. Imaging-focused services now combine object storage and workflow orchestration to simplify operations for mid-sized hospitals and large imaging centers, which supports continued share gains for cloud in the healthcare data storage market. Implementation case studies demonstrate near-immediate access to images and higher radiologist throughput, which lowers the risk of migration and supports the conversion of capital budgets into operating expense commitments.

Five-year cost models that remove periodic refresh cycles and reduce on-site maintenance demand strengthen the budget case for cloud, even as organizations work to manage egress and network costs over the lifecycle. Many providers adopt a phased approach to cloud adoption, starting with disaster recovery or long-term archive tiers before moving diagnostic viewing and high-performance caches, which aligns with both risk posture and budget. API-first interoperability across EHR, imaging, and payer systems drives incremental object writes and immutable logs, which further tilts new capacity toward cloud services in the healthcare data storage market. For cross-border operators, in-region cloud facilities and HDS-certified platforms offer a path to compliance while retaining elasticity, which supports cross-site collaboration under residency constraints. As organizations improve observability and governance on cloud platforms, they use policies to optimize lifecycle tiering and retention schemes, which stabilizes cost while preserving performance envelopes.

Block storage held 47.43% share in 2025 on the strength of performance-sensitive transactional systems, imaging caches, and mission-critical databases, which require low-latency response profiles. File storage is the fastest-growing architectural tier at a 15.26% CAGR through 2031 as enterprise imaging expands to unify DICOM and non-DICOM content in vendor-neutral archives that use NAS collaboration and hierarchical namespaces. Object storage underpins many cloud-native platforms, offering effectively unlimited scale, granular immutability, and deep archive tiers that suit compliance and long retention windows in the healthcare data storage market. Vendors that pair file semantics for clinical users with object tiers for long-term storage create blended economics that improve total cost and durability, which aids migrations from legacy silos. Enterprise-grade storage portfolios that integrate FHIR and DICOM data services are establishing a playbook for hybrid architectures across hospital networks.

In practice, hospitals use block for hot-path clinical reads and writes, file for multidisciplinary collaboration and image management metadata, and object for persistent archiving and immutable backups. Imaging platforms that support direct-to-object writes reduce operational steps and improve retrieval performance at scale, which shortens time to first image for clinicians and improves system resilience in the healthcare data storage market. File growth is also linked to new modalities such as digital pathology and ophthalmology that contribute large files and benefit from SMB and NFS-based collaboration. As imaging merges with analytics, tiering policies are tuned for AI training, validation, and inference workloads that need to traverse hot, warm, and cold tiers for cost and speed. Over the forecast period, architectural convergence will continue, with policy engines mediating between clinical performance targets and retention obligations.

Geography Analysis

North America captured 48.56% share in 2025, supported by a mature compliance regime, fast-growing interoperability networks, and a dense ecosystem of health-tech innovators. The TEFCA network's progression to nearly 500 million records exchanged by February 2026 demonstrates live-scale national exchange, which expands storage and audit demands across providers and payers in the healthcare data storage market. Federal rulemaking on interoperability and prior authorization has set specific API and response benchmarks, which move storage closer to API platforms for durability and performance. Canada benefits from hyperscalers' regional presence and from alignment with U.S.-style privacy frameworks, which supports cross-border vendor strategies that deliver unified architectures. In Mexico and select Latin subregions of North America, modernization efforts raise incremental deployments of EHR and imaging archives within public hospitals and private networks. Across the region, immutable backup adoption, SIEM integration, and hybrid disaster recovery are now standard program pillars that shape storage design.

Asia-Pacific is the fastest-growing region with a 16.36% forecast CAGR through 2031 as national digital-health missions expand data capture, imaging, and analytics. Cloud providers maintain multiple in-region facilities that give health systems the residency and performance needed to scale enterprise imaging and FHIR-based services in the healthcare data storage market. Health systems in Japan, South Korea, Singapore, and Australia are rolling out AI-augmented diagnostics and expanding remote care, which adds downstream storage requirements for images, telemetry, and longitudinal clinical records. China and India continue to emphasize sovereign data policies that increase reliance on in-country cloud regions and hybrid models. Staffing constraints in specialized data engineering and bioinformatics remain a pinch point for advanced genomics-scale storage across several APAC markets, which encourages managed services and platform approaches.

Europe holds a substantial share and faces distinct regulatory contours that guide deployment choices. The European Health Data Space Regulation sets obligations for EHR system interoperability, logging, and CE-marked conformity for primary uses, and it creates a framework for secondary uses under secure processing environments, which elevates storage, audit, and governance requirements in the healthcare data storage market. Cloud providers are certifying for healthcare hosting programs and expanding EU-region coverage to support hospitals, research centers, and life-sciences organizations under national residency rules. Smaller markets benefit from pan-EU cloud footprints, though budget constraints in public systems and GDPR-driven audits can slow enterprise imaging consolidations. The United Kingdom and Germany are advancing national digital-health infrastructure that will increase API-driven data exchange and reinforce audit-ready storage practices.

1. Amazon Web Services (AWS)
2. Cloudian
3. CloudWave
4. Cohesity
5. Commvault
6. Dell Technologies
7. Fujitsu
8. Google Cloud (Healthcare API)
9. Hewlett Packard Enterprise (HPE)
10. Hitachi Vantara
11. Huawei
12. Hyland Healthcare
13. IBM
14. Infinidat
15. Microsoft (Azure Health Data Services)
16. NetApp
17. Oracle
18. Pure Storage
19. Quantum
20. Qumulo
21. Rubrik
22. Scality
23. Veeam
24. Western Digital

Additional Benefits:

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

TABLE OF CONTENTS

1 Introduction

• 1.1 Study Assumptions and 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 Imaging and Enterprise Imaging Expansion Drives Petabyte-Scale Storage
  • 4.2.2 EHR Interoperability and Patient Access Expand Data Volumes and Retention
  • 4.2.3 Accelerating Cloud Adoption for Imaging, Analytics, and Backup/Disaster Recovery
  • 4.2.4 Genomics and Multi-Omics Pipelines Create High-Throughput, High-Volume Datasets
  • 4.2.5 Cybersecurity Goals Mandate Immutable Backups and Centralized Logging
  • 4.2.6 Data-Sovereignty Rules (EU HDS v2.0) and EU Data Act Spur Sovereign/Hybrid and Portability
• 4.3 Market Restraints
  • 4.3.1 Budget Constraints and Staffing Shortages Slow EI/Cloud Migrations
  • 4.3.2 Interoperability, VNA Migrations, and Multi-Year Archive Transitions Add Risk
  • 4.3.3 Cloud Egress Fees and Vendor Lock-in Complicate Lifecycle TCO
  • 4.3.4 Localization and Sovereignty Restrict Cross-Border Clinical-Data Storage
• 4.4 Value-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 Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value, USD)

• 5.1 By Deployment Mode
  • 5.1.1 On-Premise
  • 5.1.2 Cloud
  • 5.1.3 Hybrid
• 5.2 By Architecture
  • 5.2.1 Block Storage
  • 5.2.2 File Storage
  • 5.2.3 Object Storage
• 5.3 By Storage Medium
  • 5.3.1 HDD
  • 5.3.2 SSD/Flash
  • 5.3.3 Tape
• 5.4 By End User
  • 5.4.1 Hospitals & Clinics
  • 5.4.2 Pharmaceutical & Biotechnology Companies
  • 5.4.3 Healthcare Payers
  • 5.4.4 Others
• 5.5 By Application
  • 5.5.1 PACS/Enterprise Imaging
  • 5.5.2 EHR/EMR and Clinical Data
  • 5.5.3 Genomics & Multi-omics
  • 5.5.4 Others
• 5.6 By 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 Australia
    • 5.6.3.5 South Korea
    • 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, Recent Developments)
  • 6.3.1 Amazon Web Services (AWS)
  • 6.3.2 Cloudian
  • 6.3.3 CloudWave
  • 6.3.4 Cohesity
  • 6.3.5 Commvault
  • 6.3.6 Dell Technologies
  • 6.3.7 Fujitsu
  • 6.3.8 Google Cloud (Healthcare API)
  • 6.3.9 Hewlett Packard Enterprise (HPE)
  • 6.3.10 Hitachi Vantara
  • 6.3.11 Huawei
  • 6.3.12 Hyland Healthcare
  • 6.3.13 IBM
  • 6.3.14 Infinidat
  • 6.3.15 Microsoft (Azure Health Data Services)
  • 6.3.16 NetApp
  • 6.3.17 Oracle
  • 6.3.18 Pure Storage
  • 6.3.19 Quantum
  • 6.3.20 Qumulo
  • 6.3.21 Rubrik
  • 6.3.22 Scality
  • 6.3.23 Veeam
  • 6.3.24 Western Digital

7 Market Opportunities & Future Outlook

• 7.1 White-space & Unmet-need Assessment