DRAM prices surge nearly double in Q1 2026 as artificial intelligence boom strains memory supply

Reviewed byNidhi Govil

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Industry analyst TrendForce has sharply revised its chip price forecasts, now predicting DRAM contract prices will surge 90-95% in Q1 2026, up from initial estimates of 55-60%. The artificial intelligence boom and persistent AI and data center demands are creating unprecedented strain on global memory supply chains, with prices expected to remain elevated through 2028.

DRAM Prices Face Historic Surge Driven by AI Demand

The memory shortage affecting global tech markets has intensified beyond initial projections. TrendForce, a leading industry analyst, has dramatically revised its forecasts for chip prices in the first quarter of 2026, now predicting DRAM contract prices will jump by 90-95% compared to the final quarter of 2025

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. This represents a significant increase from the firm's early January estimate of 55-60% growth

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. The artificial intelligence boom continues to drive hyperscalers and cloud service providers to strain supply chains, creating what TrendForce describes as a worsening global memory supply and demand imbalance

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Source: Reuters

Source: Reuters

Memory prices for DRAM and NAND flash are both experiencing unprecedented increases during this period. NAND flash pricing, which was initially expected to rise 33-38%, is now forecast to surge by 55-60% during the current quarter

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. These revisions reflect the intensifying competition for limited memory resources as artificial intelligence applications expand rapidly across enterprise and consumer markets.

AI and Data Center Demands Reshape Memory Markets

"Persistent AI and data center demands in 1Q26 are further worsening the global memory supply and demand imbalance, thereby increasing suppliers' pricing power," TrendForce stated

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. The shift from AI training to AI inference workloads has created unexpected pressure on memory infrastructure. During large language model (LLM) inference, systems rely heavily on key-value cache storage, which functions as the model's short-term memory during active sessions

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Source: The Register

Source: The Register

This technical requirement has profound implications for data centers. When chatbot sessions idle, precomputed key-value cache data moves from high-bandwidth memory to slower system memory and eventually to storage tiers. While this approach reduces compute requirements and improves user interactivity, it demands substantial memory capacity across multiple tiers

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. The demand for high-performance storage has far surpassed initial expectations, with leading North American cloud service providers rapidly increasing procurement since late 2025, resulting in a surge of enterprise SSD orders

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Consumer and Enterprise Impact Across Device Categories

PC DRAM is expected to roughly double in price from the holiday quarter, while LPDDR memory used in notebooks and smartphones faces similarly steep increases

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. TrendForce predicts pricing on LPDDR4x and LPDDR5x memory will increase by roughly 90%, marking the steepest increases in their history

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. The situation is compounded by Nvidia's most powerful rack systems, which contain 54 terabytes of LPDDR5x memory each

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Higher-than-expected PC shipments in the fourth quarter of 2025 have further exacerbated shortages

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. OEMs like Dell and HP typically purchase memory in bulk about a year in advance, which initially helped shield consumers from price increases. However, as inventories draw down and manufacturers restock, system prices are expected to climb significantly

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Long-Term Outlook Offers Little Relief

While memory vendors now have capital for new fabrication facilities, these plants will take years to bring online

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. Industry analysts expect DRAM prices to peak later in 2026, but prices are forecast to remain elevated through 2028

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. This extended timeline means consumers and enterprises should prepare for sustained high-performance memory costs across smartphones, PCs, servers, and AI infrastructure. The combination of limited supply chains, aggressive hyperscaler procurement, and the ongoing transition to inference-heavy AI workloads suggests the memory market will remain tight for the foreseeable future, with pricing power firmly in the hands of memory vendors.

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