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Executive Summary
In 2025, enterprise storage and data resiliency became central to AI success. As organizations moved AI initiatives into production, they encountered hard limits in data architectures, recovery models, and governance practices. The market responded with greater discipline, favoring predictable operations, recovery assurance, and data control over experimental designs.
The 2025 Storage and Resiliency Year In Review synthesizes HyperFRAME Research coverage to examine how the data layer evolved under these pressures. It analyzes the convergence of resiliency with governance and security, the rise of object storage as both a recovery tier and operational substrate, the shift toward workload-driven hybrid architectures, and the growing emphasis on data activation, efficiency, and verification. Together, these trends reinforce a simple conclusion: the data layer remains decisive because it determines what enterprises can trust, scale, and sustain in the AI era.
Key Highlights
Enterprise resiliency expanded beyond backup into governance, security alignment, and recovery assurance.
Object storage evolved into a primary recovery tier and an operational foundation for AI and analytics.
Hybrid cloud architectures became more workload-specific, driven by regulatory, latency, and recovery requirements.
AI shifted storage priorities toward data access, reuse, policy enforcement, and auditability.
Efficiency, density, and power constraints re-emerged as strategic factors in storage and infrastructure design.
Don Gentile | Analyst-in-Residence -- Storage & Data Resiliency
Don Gentile brings three decades of experience turning complex enterprise technologies into clear, differentiated narratives that drive competitive relevance and market leadership. He has helped shape iconic infrastructure platforms including IBM z16 and z17 mainframes, HPE ProLiant servers, and HPE GreenLake — guiding strategies that connect technology innovation with customer needs and fast-moving market dynamics.
His current focus spans flash storage, storage area networking, hyperconverged infrastructure (HCI), software-defined storage (SDS), hybrid cloud storage, Ceph/open source, cyber resiliency, and emerging models for integrating AI workloads across storage and compute. By applying deep knowledge of infrastructure technologies with proven skills in positioning, content strategy, and thought leadership, Don helps vendors sharpen their story, differentiate their offerings, and achieve stronger competitive standing across business, media, and technical audiences.