Memory Chips Set to Claim 54% of the World's $1.56 Trillion Semiconductor Market in 2026

The forecast that keeps getting bigger

Gartner released an updated worldwide semiconductor forecast on August 24, 2026, projecting the total chip market will hit $1.56 trillion this year, up from $809 billion in 2025. Memory chips, DRAM and NAND flash, are expected to account for $837.3 billion of that, or 54% of the entire industry, according to Gartner data reported by dqindia.

That's up from just 27% in 2025. Gartner projects the total market will keep climbing to $1.94 trillion in 2027, with memory alone crossing $1 trillion.

"The semiconductor industry is entering a fundamentally new phase of growth," Ben Lee, Director Analyst at Gartner, told dqindia, pointing to AI infrastructure spending and a stronger-than-expected memory pricing cycle. Shrish Pant, another Gartner Director Analyst, added that "AI infrastructure has fundamentally changed the dynamics of the memory market."

This forecast itself just moved a lot. Gartner's own April 2026 projection had memory revenue at $633.3 billion, roughly 48% of a $1.32 trillion market, according to reporting from Yahoo Finance and 24/7 Wall Street. Four months later, the number is $837.3 billion and 54%. The revision marks an upward shift of hundreds of billions of dollars within a single year.

DRAM and NAND numbers that don't look real

DRAM revenue is projected to climb 246.6% year-over-year in 2026. NAND flash is forecast to jump 371.9%, according to Gartner figures cited across multiple outlets including Crypto Briefing and dqindia. Gartner expects the AI data center ecosystem to account for 36.5% of total 2026 semiconductor revenue, rising past 53% by 2030.

This isn't just one analyst firm's story. Omdia raised its own 2026 semiconductor forecast to 94.1% year-over-year growth, driven by the same DRAM and NAND surge, and also projects memory chips crossing 50% of total industry revenue, according to Omdia data reported by biztechreports on August 27. Omdia's report adds a specific detail Gartner's numbers don't: high-bandwidth memory production is bottlenecked because only three companies—SK hynix, Samsung, and Micron—can manufacture it at scale, and advanced packaging lines at TSMC are running at full utilization. Omdia expects those bottlenecks to persist into at least 2027.

Nvidia's $279 billion bet

The clearest sign this is a real supply crunch, not just an analyst story, is Nvidia's own procurement disclosures. Nvidia's supply and capacity commitments jumped from $119 billion to $279 billion in a single quarter, with $92 billion due in the remainder of fiscal 2027, $87 billion in fiscal 2028, and $88 billion in fiscal 2029, according to Yahoo Finance's reporting on the company's filings. Nvidia says the commitments are primarily tied to memory.

SK hynix currently holds 56.4% of the HBM market. Samsung leads overall DRAM production. Micron is the only major US-headquartered company among the three, according to Crypto Briefing. SK hynix has locked in roughly 10 long-term customers; Micron says 16 strategic agreements cover about 20% of its DRAM volume and a third of its NAND volume over their contract periods, per Yahoo Finance. Of the three companies actually building the chips underpinning America's AI infrastructure, two are South Korean. That's not a hostile-nation problem, but it's a concentration problem worth tracking as memory becomes this central to national computing capacity.

The 2019 ghost in the room

Memory previously hit roughly 34% of semiconductor revenue in 2018. The following year, DRAM average selling prices collapsed 47.4% and total memory revenue fell 31.5%, dragging memory's industry share back down to 26.7%, according to Gartner data cited by Yahoo Finance and 24/7 Wall Street. Actual chip demand didn't crash. Prices did.

The bull case, made by Gartner's own analysts and echoed in Omdia's numbers, is that this cycle is structurally different. HBM requires specialized manufacturing only three companies can do at scale, multi-year contracts run through 2029, and Nvidia's own spending commitments show no sign of AI infrastructure buildout slowing down. That's a real distinction from 2018, when commodity DRAM had far more competitors and no comparable lock-in agreements.

But the same concentration that provides revenue visibility cuts both ways. If Nvidia's AI accelerator demand slows even modestly, the downstream hit to Micron, SK hynix, and Samsung would be amplified precisely because so much of their projected revenue now sits inside a handful of massive, multi-year contracts, according to Crypto Briefing's analysis. And SK hynix is already building new capacity, including a $4 billion Indiana facility, per Yahoo Finance, meaning fresh supply is coming online at the same time hyperscalers are locking in years of demand.

Fabs take years to build. Nvidia's $279 billion in commitments runs through fiscal 2029. Nobody currently knows whether AI training and inference spending will still be climbing when all that new memory capacity finally comes online, or whether the industry is building toward a 2019-style price collapse at a much larger scale.