On April 23, 2026, technology research firm Omdia released its updated Semiconductor Long-Term Forecast, significantly raising its revenue growth projection for the year 2026 to 62.7 percent. This revision represents a substantial increase from previous estimates and is driven primarily by a critical supply-demand imbalance in the memory sector. Omdia analysts report that the rapid expansion of generative artificial intelligence infrastructure has created an unprecedented crunch in both Dynamic Random-Access Memory (DRAM) and NAND flash storage.
The report highlights that High Bandwidth Memory (HBM) is the primary catalyst for the revenue surge. As of April 2026, the industry is transitioning from HBM3e to HBM4 standards to meet the processing requirements of next-generation AI accelerators. Omdia notes that HBM4 production yields remain lower than anticipated, contributing to a projected 35 percent shortfall in supply relative to demand by the fourth quarter of 2026. The technical complexity of stacking 12 and 16 layers of DRAM chips has limited the total output capacity of major manufacturers, leading to a sustained increase in average selling prices.
In the NAND sector, Omdia identifies a shift toward high-density enterprise Solid State Drives (eSSDs) for AI training clusters. The forecast indicates that demand for 64TB and 128TB eSSDs will grow by 85 percent year-over-year in 2026. This demand is pushing manufacturers to accelerate the deployment of 300-layer and 400-layer 3D NAND architectures. However, the report specifies that the capital expenditure required for these advanced nodes has constrained overall bit growth, further exacerbating the supply crunch.
Omdia’s data suggests that the total semiconductor market revenue will reach record levels in 2026, with the memory segment alone accounting for nearly 40 percent of the total industry value. The report also tracks the impact on non-memory components, noting that while logic and analog sectors are seeing steady growth, the memory-centric nature of AI hardware is the dominant factor in the 62.7 percent forecast. Lead times for specialized AI memory modules have reportedly extended to 52 weeks, according to Omdia's supply chain tracking.
The firm’s Chief Analyst for Semiconductors stated in the report that the current cycle differs from previous memory upturns due to the structural shift in data center architecture. Unlike the consumer-led cycles of the past, the 2026 forecast is underpinned by enterprise-level investments in large language models and autonomous systems. Omdia concludes that until additional fabrication capacity for advanced packaging and high-density memory comes online in late 2027, the industry will remain in a high-pricing environment characterized by persistent shortages.