Gartner: Global Semiconductor Revenue to Hit $1.6 Trillion in 2026 as AI Reshapes the Chip Industry

The semiconductor industry is on track for a historic year — and by a wider margin than almost anyone expected. On August 24, 2026, Gartner published its updated worldwide semiconductor forecast, projecting that global chip revenue will reach $1.6 trillion in 2026, a 92% increase from $809 billion in 2025. Looking further out, the firm expects the market to total $1.9 trillion in 2027.

The revision is dramatic even by the standards of a year that has already seen repeated upward forecast corrections. As recently as April 2026, Gartner’s own forecast called for the market to “exceed $1.3 trillion” in 2026 — meaning the industry has outrun expectations by roughly $300 billion in a single quarter’s worth of revisions.

What Changed: Memory, and Then Some

The single biggest driver is memory. Gartner now expects memory revenue to total $837 billion in 2026 and surpass $1 trillion in 2027. Memory, which accounted for 27% of total semiconductor revenue in 2025, is forecast to represent 54% of the entire market this year — a structural inversion of the industry’s traditional balance between logic and memory.

The growth rates are unlike anything the industry has recorded in its modern era:

• DRAM revenue is forecast to increase 246.6% in 2026
• NAND flash revenue is expected to grow 371.9%

What analysts have dubbed “memflation” — runaway pricing across DRAM and NAND as AI data centers soak up supply — has moved from a supply-chain nuisance to the defining feature of the 2026 semiconductor market. Gartner’s April forecast already warned that memory prices would increase 125% in 2026 while storage chip prices climbed 234%; the August update shows the trend accelerating rather than cooling.

“AI infrastructure has fundamentally changed the dynamics of the memory market,” said Shrish Pant, Director Analyst at Gartner. “While pricing expansion is accelerating growth in 2026, continued AI infrastructure deployments, higher memory content per AI server and sustained demand for high-bandwidth memory (HBM) will support memory revenue growth through 2027 and beyond.”

A Structural Shift in Where Value Is Created

Beyond the headline numbers, Gartner’s forecast describes a deeper transformation in the industry’s composition. Ben Lee, Director Analyst at Gartner, frames it as a new phase of growth rather than a cyclical spike.

“The semiconductor industry is entering a fundamentally new phase of growth,” Lee said. “The pace of industry expansion is accelerating dramatically, driven by sustained investment in AI infrastructure and a stronger-than-anticipated memory pricing cycle.”

The most striking structural projection: the AI data center ecosystem is expected to grow from 36.5% of semiconductor revenue in 2026 to more than 53% by 2030. In other words, within four years, more than half of all chip revenue worldwide will be tied to AI infrastructure — underscoring, as the report puts it, “a structural shift in where semiconductor value is created and how demand is evolving across the industry.”

AI Lifts the Whole Stack, Not Just Memory

A common reading of the AI boom is that it benefits one or two categories — GPUs above all. Gartner’s data pushes back on that. As AI clusters become larger, faster, and more power-intensive, they pull increasing investment into CPUs, networking silicon, power management ICs, analog devices, and optical interconnect technologies.

“AI is expanding the semiconductor opportunity across the entire infrastructure stack rather than benefiting a single device category,” said Lee.

The numbers bear this out. Excluding memory, Gartner forecasts semiconductor revenue to grow from $589 billion in 2025 to $718 billion in 2026 (+21.9%) and reach $864 billion in 2027. That’s not Blackwell-and-Rubin-fueled GPU hypergrowth — it’s broad-based expansion across every category of silicon that touches an AI data center.

Context: A Year of Runaway Upward Revisions

The $1.6 trillion figure didn’t arrive in one step. The trajectory of Gartner’s 2026 forecasts tells its own story:

• March 2026 (1Q26 forecast): global sales “will exceed $1 trillion in 2026” — described at the time as the highest percentage growth in two decades
• April 2026: forecast raised to “exceed $1.3 trillion,” with 64% growth and memory revenue tripling
• June 2026 (2Q26 forecast): $1.56 trillion, growing 92.2% year over year
• August 24, 2026: $1.6 trillion, +92%

Each revision has landed above the last, and each has been driven by the same two forces: AI infrastructure buildouts that keep exceeding expectations, and a memory pricing cycle that keeps running hotter than suppliers’ own guidance.

Why It Matters

For the AI industry, the forecast is both a validation and a warning. The validation: the capital flowing into AI infrastructure is real, measured, and still accelerating — this is not a demand signal that is flattening. The warning: memory costs are now a first-order constraint on the economics of AI deployment. When memory alone accounts for over half of semiconductor revenue and prices are rising at triple-digit rates, the cost of every AI server, every inference cluster, and every consumer device with meaningful memory content rises with it. Apple is already projected to absorb a nearly 40% surge in iPhone 18 Pro bill-of-materials costs to sustain shipments.

For the chip industry itself, the forecast marks a consolidation of the AI era’s economics: value is migrating to whoever controls memory capacity, HBM stacks, advanced packaging, and the interconnect fabric that holds AI clusters together. The 2027 forecast of $1.9 trillion implies the industry believes this cycle has years — not quarters — left to run.

Whether memflation ultimately cools as new capacity lands in 2027 is the open question Gartner itself hedges on: supply-demand conditions are “projected to remain tight as AI infrastructure deployments continue to increase memory consumption.” For now, the chip industry’s trajectory points almost straight up.