Seagate and Yiqi Research Institute released a report titled 'New Paradigm of Edge Storage in the AI Era'. The study examines how non-cloud enterprises use storage at the edge. It finds that artificial intelligence adoption drives significant data growth for most surveyed companies.
Research shows non-cloud enterprises scaling capacity to meet AI-driven data growth
The research covers deployment patterns across private cloud environments. Most participating organizations operate fewer than 50 servers and hold under 10PB of capacity. Distributed storage and hyperconverged architectures are gaining market share alongside traditional centralized systems.
Hard drives continue to serve as the backbone of edge storage infrastructure. SATA interfaces satisfy most current requirements for these deployments. Buyers are shifting toward drives with capacities of 16TB or higher for new purchases.
The report frames artificial intelligence as a data engine rather than just a tool. This shift creates demand for high-reliability, large-capacity, and low-power storage solutions at the edge. The analysis targets enterprise environments that rely on private cloud infrastructure.
Seagate partners with Yiqi Research Institute to publish this industry study. The findings reflect current hardware procurement trends among non-cloud enterprises. Storage architects can use these insights to align capacity planning with AI-driven workloads.
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