AI has fundamentally changed what organizations expect from their infrastructure. Storage is no longer simply a destination for data; it is becoming an active participant in delivering AI outcomes.
The latest Gartner® Hype Cycle™ for Storage Technologies, 2026 discusses this shift, identifying a new generation of storage technologies designed to support AI, hybrid cloud, cybersecurity and autonomous operations. Gartner notes that enterprise storage is evolving to address accelerating data growth, AI-driven workloads and increasingly distributed environments spanning the edge, core and cloud.
For infrastructure and operations leaders, the message is clear: yesterday’s storage architectures weren’t built for today’s AI demands.
The Gartner report discusses several planning assumptions that illustrate how quickly enterprise storage is evolving:
- “By 2029, 72% of heads of I&O will implement at least two hybrid cloud storage use cases, which is a significant increase from 33% in 2026.”
- “By 2029, 100% of enterprise storage products will include cyberstorage capabilities focused on active defense beyond recovery from cyber events, up from 20% in early 2026.”
- “By 2028, 20% of heads of I&O will deploy agentic AI-based autonomous storage infrastructure, up from less than 1% in 2026.”
- “By 2029, more than 60% of enterprises will replace separate storage products with a single storage platform serving both structured and unstructured data services, up from less than 25% in early 2026.”
- “By 2028, more than 20% of enterprises will run AI workloads—training and/or inference—in on-premises data centers, an increase from less than 2% as of the beginning of 2026.”
Taken together, we believe these predictions reflect a broader shift from managing storage capacity to managing intelligent, distributed data infrastructure. One of the biggest changes discussed in the report is the emergence of AI-specific storage architecture.
Modern AI workloads require organizations to deliver high-concurrency, low-latency access to massive volumes of unstructured data. Traditional storage architectures create I/O bottlenecks that leave expensive GPU resources waiting for data rather than performing inference.
Storage platforms purpose-built for AI focus on parallel data access, intelligent metadata management and rapid retrieval of unstructured data needed for retrieval-augmented generation (RAG) and AI agents.
Similarly, Gartner identifies Integrated Data Intelligence as an emerging capability that transforms storage from a passive repository into an active data platform by enabling organizations to enrich metadata and query data in place rather than copying it into separate analytics environments.
These trends reinforce that the future of AI depends as much on data movement and accessibility as it does on compute.
Hybrid Is the New Normal
Few enterprises operate entirely on-premises or entirely in the cloud. Instead, organizations increasingly manage data across data centers, remote offices, edge locations and multiple cloud providers.
Gartner notes that heads of infrastructure and operations are balancing continued data growth with hybrid cloud adoption while modernizing storage architectures for new workload types and stronger cybersecurity.
For many organizations, the challenge is ensuring data remains synchronized, accessible and consistent regardless of location. This is exactly where software-defined data mobility becomes essential.
At Peer Software, we’ve spent more than three decades helping enterprises solve one of storage’s most persistent challenges: keeping distributed data synchronized without disrupting users or applications.
As organizations adopt hybrid cloud strategies, AI initiatives and globally distributed operations, data mobility becomes just as important as storage performance. Infrastructure teams need the ability to move, replicate and synchronize data across heterogeneous storage platforms without creating new silos or adding operational complexity.
Peer Software’s unified, software-defined architecture enables organizations to:
- Synchronize data across heterogeneous storage environments
- Support hybrid cloud initiatives without disrupting existing workflows
- Improve resilience through intelligent replication
- Enable AI and data-intensive workloads with consistent access to distributed datasets
- Extend the value of existing storage investments rather than requiring infrastructure replacement
Rather than forcing organizations into a single storage platform, Peer Software helps unify existing environments while providing the flexibility enterprises need as storage architectures continue to evolve.
Preparing for What’s Next
In our opinion, the Gartner Hype Cycle makes it clear that enterprise storage is becoming more intelligent, more automated and more distributed.
Whether organizations are preparing for AI deployments, expanding hybrid cloud strategies or strengthening cyber resilience, success will increasingly depend on how effectively they manage data across diverse environments—not just where they store it.
As storage continues its evolution from infrastructure to strategic enabler, organizations that prioritize flexibility, interoperability and seamless data mobility will be best positioned to support whatever comes next.
This report is available for a limited time, compliments of Peer Software. Download a copy today.
Gartner, Hype Cycle for Storage Technologies, 2026, Julia Palmer, 1 June 2026.
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