Enterprise shared storage refers to centralized data storage infrastructure that allows multiple servers, applications, and users to access the same storage pool simultaneously across a high-speed network. Unlike direct-attached storage (DAS) that connects a single drive to a single server, shared storage systems are built to serve entire data center environments — providing high performance, high availability, and scalable capacity to hundreds or thousands of connected workloads at the same time.
In 2026, shared storage is a foundational component of every serious enterprise data center, cloud-adjacent infrastructure deployment, and AI workload environment worldwide. The market is experiencing a significant transformation driven by three forces simultaneously:
| Platform | Vendor | Key Strength |
|---|---|---|
| FlashArray / FlashBlade | Pure Storage | AI-optimized all-flash, 99.9999% availability guarantee |
| ONTAP / AFF | NetApp | Hybrid and all-flash NAS/SAN with cloud integration |
| PowerStore / PowerScale | Dell EMC | Unified storage, largest installed base globally |
| Alletra / Primera | HPE | Cloud-managed storage via GreenLake as-a-service |
| FlashSystem / Spectrum Scale | IBM | HPC and AI workloads, parallel I/O architecture |
| Company | Industry | Headquarters | Storage Platform | Primary Use Case |
|---|---|---|---|---|
| JPMorgan Chase | Financial Services | New York, NY | Pure Storage, NetApp | Trade data, risk analytics |
| Mayo Clinic | Healthcare | Rochester, MN | Pure Storage FlashArray | Medical imaging and EHR |
| Boeing | Aerospace Manufacturing | Arlington, VA | Dell EMC, NetApp | CAD engineering data |
| Warner Bros Discovery | Media & Entertainment | New York, NY | Dell EMC Isilon | Petabyte video archive |
| Chevron Corporation | Energy | San Ramon, CA | HPE Alletra, NetApp | Seismic data, simulations |
| Bank of New York Mellon | Asset Management | New York, NY | Pure Storage, IBM | Custody data and compliance |
| Stanford University | Higher Education | Stanford, CA | NetApp, Dell EMC | Research data, AI datasets |
| Volkswagen Group | Automotive | Wolfsburg, Germany | Dell EMC PowerStore | Manufacturing data and VMs |
| Cleveland Clinic | Healthcare | Cleveland, OH | Pure Storage FlashBlade | Genomics and medical AI |
| Deutsche Bank | Banking | Frankfurt, Germany | NetApp ONTAP, IBM | Core banking and DR |
| Lockheed Martin | Defense | Bethesda, MD | Dell EMC, Pure Storage | Classified data and simulation |
| Nationwide Insurance | Insurance | Columbus, OH | Pure Storage, HPE | Claims data and analytics |
| National Grid | Utilities | London, UK | NetApp, Dell EMC | Grid operations and SCADA |
| Pfizer Inc. | Pharmaceuticals | New York, NY | IBM, NetApp | Drug research and genomics |
| NTT Data | IT Services | Tokyo, Japan | Pure Storage, Hitachi | Managed storage services |
| Industry | Share | Companies |
|---|---|---|
| Financial Services & Banking | 22% | 137,246 |
| Healthcare & Life Sciences | 20% | 124,769 |
| Manufacturing & Engineering | 18% | 112,292 |
| Technology & Cloud Services | 16% | 99,815 |
| Media & Entertainment | 12% | 74,862 |
| Government & Defense | 12% | 74,861 |
Financial Services (22%) — Banks, capital markets firms, insurance companies, and asset managers are among the most demanding shared storage users in any industry. Financial services organizations require the absolute lowest possible storage latency for trading systems, risk analytics, and real-time fraud detection. Financial regulatory requirements mandate 7+ years of transaction data retention, creating enormous archive storage needs alongside performance-sensitive primary storage.
Healthcare & Life Sciences (20%) — A single hospital system can produce hundreds of terabytes of DICOM medical imaging data each year, while genomics programs generate petabytes of sequencing data. Electronic health records, clinical trial data, pathology imaging, and radiology archives all require shared storage systems that deliver consistent performance and comprehensive audit trails to satisfy HIPAA compliance requirements.
Manufacturing & Engineering (18%) — Automotive, aerospace, semiconductor, and industrial manufacturers rely on high-capacity shared storage for CAD design files, CFD simulations, finite element analysis models, and machine learning datasets generated by connected manufacturing equipment and digital twin programs.
Technology & Cloud Services (16%) — Technology companies, managed service providers, and IT services firms deploy enterprise shared storage as foundational infrastructure for their customer-facing services, demanding the highest possible throughput for AI and machine learning workloads.
| Country / Region | Share | Companies |
|---|---|---|
| United States | 44% | 274,492 |
| United Kingdom | 10% | 62,384 |
| Germany | 9% | 56,146 |
| Japan | 8% | 49,908 |
| Canada | 7% | 43,669 |
| Rest of World | 22% | 137,245 |
The United States is overwhelmingly the largest enterprise shared storage market globally, representing nearly half of all enterprise shared storage deployments. American financial services, healthcare, technology, and defense sectors drive the highest-value storage purchases, with the concentration of AI computing infrastructure investment in the US creating a new wave of high-throughput shared storage demand.
Germany is the largest continental European market. German industrial manufacturers including Volkswagen, Siemens, and BASF maintain among the largest on-premise data center footprints in Europe, generating substantial enterprise storage demand from manufacturing execution systems, CAD engineering platforms, and industrial IoT sensor data lakes.
| Job Title | Share | Contacts |
|---|---|---|
| IT Director / VP of Infrastructure | 21% | 458,039 |
| Data Center Manager / Director | 16% | 348,762 |
| Storage Architect / Storage Manager | 18% | 392,258 |
| CTO / Chief Infrastructure Officer | 11% | 239,724 |
| Database Administrator / Architect | 14% | 305,079 |
| System Administrator | 10% | 218,476 |
| Other IT & Infrastructure Titles | 10% | 218,424 |
IT Directors and VPs of Infrastructure own the overall data center strategy and are the primary budget holders for enterprise storage purchases. They define the storage architecture direction and are typically the executive sponsor of major storage refresh or AI infrastructure build-out programs.
Storage Architects and Storage Managers are the technical decision-makers who evaluate specific storage platforms, run proof-of-concept programs, and provide the technical recommendation that guides vendor selection. They are highly influential in determining which vendors make the final shortlist.
CTOs are increasingly involved in storage purchasing decisions at organizations where AI infrastructure investment has elevated storage from operational infrastructure to strategic capability.
Pure Storage reported 16% year-over-year revenue growth in FY2025 and simultaneously unveiled a major rebranding positioning the company as an AI infrastructure provider rather than simply a storage vendor. CEO Charlie Giancarlo announced that AI-driven storage demand is the most significant growth catalyst in company history, with FlashBlade growing faster than any other product in the portfolio. Pure Storage announced partnerships with NVIDIA, Microsoft, and Google Cloud to embed Pure Storage as preferred on-premise storage infrastructure in AI deployment reference architectures.
Source: Pure Storage Investor Relations / Q4 FY2025 Earnings — December 2025
NetApp announced its all-flash storage portfolio had reached $4.1 billion in annual recurring revenue, crossing a major milestone confirming the company's successful pivot from hybrid storage toward all-flash and cloud-connected solutions. NetApp simultaneously launched AIDE, an AI-driven storage management platform that uses machine learning to predict performance degradation before it impacts applications, automate capacity optimization, and recommend data tiering actions based on actual access patterns. CEO George Kurian stated AIDE was the most significant storage management innovation the company had delivered in over a decade.
Source: NetApp Investor Relations / NetApp INSIGHT 2025 — May 2025
Dell Technologies unveiled Lightning, a purpose-built parallel file system for AI training workloads, at NVIDIA GTC 2026. Lightning is specifically engineered to eliminate the storage performance bottleneck when enterprises try to feed large GPU clusters with training data. Dell demonstrated Lightning delivering over 700 GB/s of sequential read throughput to a 64-GPU NVIDIA DGX SuperPOD cluster — a performance level competing storage solutions were unable to match. Dell also announced that Lightning integrates directly with NVIDIA GPUDirect Storage technology, allowing GPU memory to read data from storage arrays without passing through CPU memory.
Source: Dell Technologies Newsroom / NVIDIA GTC 2026 — March 2026
01 — Storage Performance for AI Workloads The most significant challenge facing enterprise storage teams is feeding GPU clusters fast enough to maintain high GPU utilization during AI model training. Traditional storage designed for database and VM workloads cannot deliver the sustained sequential throughput that modern AI demands. This drives urgent storage refresh investments at organizations deploying NVIDIA H100, H200, and B200 GPU clusters.
02 — Explosive Data Growth and Capacity Planning Enterprise data volumes grow at 40–60% annually in most organizations, driven by AI training datasets, unstructured data from connected devices, regulatory retention requirements, and digitization. Storage teams struggle to maintain accurate capacity forecasts and often find themselves in reactive procurement cycles.
03 — Ransomware Protection and Data Recovery Ransomware attacks targeting enterprise storage infrastructure have become dramatically more sophisticated, with attackers specifically targeting backup repositories and snapshot mechanisms to prevent recovery. Storage teams are investing heavily in immutable snapshot capabilities, air-gapped backup infrastructure, and storage-level anomaly detection.
04 — Hybrid Cloud Storage Complexity Organizations operating hybrid cloud architectures face significant complexity managing data that spans on-premise storage arrays and public cloud services simultaneously. Maintaining data consistency, enforcing data governance policies, managing cloud egress costs, and achieving predictable performance creates operational complexity that many IT teams are under-resourced to manage.
05 — Technology Refresh Cycle Acceleration The pace of storage technology innovation has accelerated dramatically with the AI infrastructure build-out, making 3–5-year-old storage systems feel significantly obsolete relative to the performance and efficiency of current-generation all-flash platforms.
06 — Storage Skills Gap The pool of experienced storage engineers who understand Fibre Channel SAN architecture, ONTAP data management, and enterprise backup integration is shrinking as older administrators retire and newer IT professionals focus on cloud and DevOps skills. This creates operational risk and drives demand for managed storage services and AI-driven management tools.
Target IT Leaders at Storage User Companies — Build a list of CTO, IT Director, VP Infrastructure, and Storage Architect contacts at organizations currently running shared storage systems from Pure Storage, NetApp, Dell EMC, or HPE.
AI Storage Upgrade Campaigns — Target organizations with storage systems more than 3 years old with messaging about AI-optimized storage performance and GPU cluster feeding throughput benchmarks. Organizations investing in NVIDIA GPU clusters who discover their existing storage cannot feed the GPUs fast enough are in urgent purchasing mode.
Ransomware and Data Protection Outreach — Storage users are among the highest-value targets for cybersecurity vendors offering ransomware protection, immutable backup, and cyber recovery solutions. Target storage administrators and IT security teams with messaging about immutable snapshots, air-gapped recovery vaults, and storage-level anomaly detection.
Hybrid Cloud Integration Solutions — If your platform provides hybrid cloud storage management, cloud tiering, or data mobility between on-premise and cloud, the shared storage users list gives you direct access to IT leaders managing exactly these hybrid architectures.
Competitive Displacement Campaigns — Filter the list by incumbent vendor to identify organizations running aging storage systems that are candidates for competitive displacement. Organizations running storage more than 4 years old from vendors that have lost performance leadership are in active evaluation mode.
ELP Data delivers one of the most comprehensive and accurately verified enterprise shared storage user contact databases available. Our list is built from technology deployment detection signals from network scanning and certificate analysis, industry conference and certification registration data, professional directory records, job posting analysis, and proprietary research networks tracking enterprise storage procurement signals worldwide.
Our shared storage database segments users by specific platform and vendor, allowing clients to target Pure Storage users separately from NetApp customers, Dell EMC accounts, HPE deployments, or IBM storage installations.
How many companies use enterprise shared storage? More than 623,844 companies worldwide operate enterprise shared storage systems from vendors including Pure Storage, NetApp, Dell EMC, HPE, IBM, Hitachi, and others. The United States accounts for approximately 44% of all enterprise shared storage deployments globally.
What is the difference between SAN and NAS storage? A SAN (Storage Area Network) provides block-level storage access over a dedicated high-speed Fibre Channel or iSCSI network, used primarily for databases and virtual machine workloads requiring lowest possible latency. NAS (Network Attached Storage) provides file-level access over standard Ethernet using NFS or SMB protocols, used for shared file access by multiple users. Modern platforms from Pure Storage, NetApp, and Dell EMC typically support both SAN and NAS workloads on the same underlying hardware.
What industries use shared storage the most? Financial services and banking represent the largest shared storage vertical at 22%, followed by healthcare and life sciences at 20%, manufacturing and engineering at 18%, technology and cloud services at 16%, and media/entertainment and government/defense at 12% each.
Why is shared storage important for AI workloads? Shared storage is one of the most critical components in AI training infrastructure because GPU clusters require massive amounts of data delivered at extremely high throughput rates to maintain GPU utilization during model training. A single NVIDIA H100 server can consume data at 100 GB/s or more during large language model training. Traditional storage cannot deliver this, making purpose-built AI storage platforms a critical investment for organizations building serious on-premise AI training infrastructure.
How do I get a list of companies using shared storage? ELP Data provides a verified shared storage users list with over 623,844 company records and 2,184,762 decision-maker contacts. Request a free sample of 25 verified records within 24 hours at elpdata.com — no commitment required.
2,184,762 verified contacts — CTOs, IT Directors, Storage Architects, and Data Center Managers.
95%+ accuracy. Free sample delivered within 24 hours. No commitment required.