AI Data Storage Demand Surges as Persistent Data Reshapes Infrastructure Economics — Western Digital Corporation

Event summary

94.7% of organizations surveyed by IDC are storing more data due to AI adoption over the past year.
74% of organizations expect data volumes to grow by 25% or more over the next three years.
75.9% of organizations report bringing increasing volumes of archived cold-tier data back online for AI workloads.
98.2% of organizations consider total cost of ownership per terabyte important or very important in storage decisions.
IDC's research is based on a survey of 763 IT and business decision-makers across seven countries.

The big picture

The AI infrastructure conversation is shifting from compute to data storage as organizations grapple with the structural expansion of data storage requirements. This shift is driven by the compounding data cycle where AI not only requires data but also increases the potential value of existing data. As data persists and accumulates, storage capacity, accessibility, and economics are becoming critical considerations in AI infrastructure design. This trend underscores the need for a holistic approach to data management that spans the entire data lifecycle.

What we're watching

Storage Economics: How the increasing importance of total cost of ownership per terabyte will impact storage vendor strategies and pricing models.
Data Lifecycle Management: The pace at which organizations will need to adapt their data lifecycle management strategies to accommodate persistent and compounding data.
Infrastructure Design: Whether storage vendors can innovate quickly enough to meet the evolving needs of AI-driven data infrastructure.