IDC Warns of Global AI Data Center "Memory Crisis": Server Storage Costs Continue to Soar, Putting Pressure on Small and Medium-Sized IDCs

On February 28, 2026, International Data Corporation (IDC) issued a new industry warning, stating that the world is facing the most severe memory supply chain crisis in fifteen years. The AI ​​data center construction boom continues unabated, completely depleting the production capacity of high-bandwidth memory (HBM), dynamic random-access memory (DRAM), and flash memory (NAND). Server memory and enterprise-grade SSD prices are entering a sustained upward spiral, putting unprecedented hardware cost pressure on small and medium-sized IDCs and computing power service providers. The global computing infrastructure landscape is undergoing structural restructuring.

This memory crisis is not a traditional cyclical shortage, but rather a long-term, structural supply-demand imbalance caused by the AI ​​computing power arms race. IDC points out that generative AI and the large-scale deployment of models mean that a single AI server requires 8 to 10 times more DRAM and 3 times more NAND flash memory than a traditional server. Tech giants like Microsoft, Meta, Google, and Amazon are projected to exceed $650 billion in capital expenditures in 2026, with the vast majority earmarked for AI data centers and GPU clusters. This directly locks in over 70% of the world's high-end storage capacity, creating a "black hole" effect.

The rigid constraints on the supply side further exacerbate the shortage. To pursue higher profit margins, the three major storage giants—Samsung, SK Hynix, and Micron—continue to prioritize advanced process and packaging capacity towards HBM and server-grade DDR5, actively reducing capacity for consumer and general-purpose storage. HBM manufacturing processes are complex, yields are limited, and the construction cycle for new wafer fabs and advanced packaging lines is as long as 12 to 18 months, making it impossible to ramp up production in the short term. As of February 2026, the global storage industry's overall inventory was only four weeks' worth, far below the safety line of 8 to 12 weeks. The supply chain has virtually no buffer space, and manufacturers like SK Hynix have publicly stated that their HBM capacity for the entire year of 2026 has already been sold out.

In terms of pricing, the surge in memory chip prices has spiraled out of control. TrendForce data shows that in the first quarter of 2026, server DRAM contract prices rose by 90% to 95%, enterprise-grade NAND Flash by 55% to 60%, and some high-end DDR5 memory chips saw price increases exceeding 300% within six months. This has led to a significant increase in the overall procurement cost of servers; the price of 16GB server memory modules has doubled within six months, and the price of high-end enterprise-grade SSDs has nearly doubled, directly driving up the construction and maintenance costs of data centers.

The impact of the crisis is rapidly spreading downstream, with small and medium-sized data centers (IDCs) bearing the brunt of the pressure. Unlike leading cloud providers who can lock in capacity and secure inventory through long-term agreements and premium pricing, small and medium-sized IDCs lack bargaining power with third-party computing power service providers, facing the dual dilemma of "difficulty in obtaining supplies and high prices." The soaring hardware costs are directly squeezing profit margins, forcing some small and medium-sized service providers to suspend expansion plans and even adjust service pricing, accelerating industry consolidation. Meanwhile, the shortage effect has spilled over into the consumer electronics sector, leading to tight supply and rising prices for laptops, mobile phones, and other terminal products, creating a new industry landscape where AI computing power is squeezing out consumer electronics.

A senior analyst at IDC stated that this round of memory crisis is a **"tsunami-like structural reconfiguration"** brought about by the expansion of AI infrastructure, not a short-term fluctuation. In the next 12 to 24 months, the supply-demand gap for HBM and high-end server storage will remain high, with prices more likely to rise than fall. Although storage manufacturers have started capacity expansion, capacity release lags behind demand growth, making it difficult to quickly reverse the shortage situation.

Faced with this industry transformation, industry experts recommend that small and medium-sized IDCs and enterprise customers adopt diversified strategies: optimize server configuration and resource scheduling to improve memory and storage utilization; prioritize domestic alternatives to diversify supply chain risks; sign medium- to long-term supply agreements to lock in prices and capacity; and focus on high-value computing power services, using technological and operational upgrades to offset cost pressures.

As AI continues to penetrate various industries, memory has evolved from a traditional component to a strategic resource for computing power. This AI-driven memory crisis will not only reshape the global storage industry landscape, but will also profoundly impact data center construction, computing power costs, and the pace of digital transformation, becoming a core issue in the global IT infrastructure field in 2026.