TSMC Sees Global Chip Market Hitting $1.5 Trillion by 2030 on AI

TSMC（TSM）used its annual technology symposium in Hsinchu to deliver one of the most expansive market forecasts in semiconductor history: global chip revenue will exceed $1.5 trillion by 2030, roughly doubling from its current level which itself will cross $1 trillion this year — a threshold the industry previously treated as a long-range aspiration.

The driver is unambiguous. AI and high-performance computing applications are projected to account for 55% of the $1.5 trillion market by 2030, followed by smartphones at 20% and automotive at 10%.

Deputy co-COO Kevin Zhang put the structural shift plainly at the symposium: "In the past decade, smartphones and other mobile devices were the main driver for semiconductor growth. AI will be the one to carry us into the next decade or far beyond."

The AI Demand Architecture Underpinning the Forecast

TSMC's projection is not a simple extrapolation of current trends — it reflects a specific view about how AI workloads will evolve and which parts of the semiconductor supply chain will absorb the growth.

This year, AI inference and AI training contribute roughly equally to semiconductor demand growth. By 2030, AI inference will significantly outpace training and become the primary growth driver — a structural shift that matters for understanding which chip architectures and packaging technologies benefit most.

Inference-optimised hardware — faster, lower-latency, deployed at scale across data centres, edge devices, and eventually endpoints — will require sustained volume production at advanced nodes over a multi-year horizon.

AI accelerator wafer demand is already tracking at an 11-fold increase from 2022 to 2026 — a four-year period that captures the explosive initial phase of the AI buildout. The 2030 forecast assumes that trajectory continues through the inference scaling cycle that companies like Cerebras, Nvidia, and AMD are all positioning for.

Zhang noted that last year, TSMC helped create more than $350 billion in semiconductor revenue for chip companies — predominantly U.S. customers. That figure is projected to exceed $1 trillion in four years.

The Capacity Expansion TSMC Is Running to Meet It

The 2030 forecast is being backed by the most aggressive capacity expansion in TSMC's history across both leading-edge wafer production and advanced packaging.

2-nanometer capacity is ramping at five factories in Hsinchu and Kaohsiung simultaneously in 2026. The compound annual growth rate for 2nm chip capacity is projected at 70% in 2027 and 2028 — a pace that reflects the transition of 2nm from a premium node to a volume production technology. The next-generation A16 process is scaling alongside 2nm with the same 70% CAGR target.

Advanced packaging — specifically CoWoS (Chip on Wafer on Substrate), the technology that integrates GPU dies with HBM memory in packages used by Nvidia, AMD, and others — is expanding at an even faster pace.

TSMC projects CoWoS capacity CAGR at more than 80% from 2022 to 2027, with a 90% CAGR figure cited for the 2022-to-next-year window. The third generation of CoWoS technology entered volume production this year, featuring a 5.5-fold reticle size capable of accommodating 12 HBM chips per package. TSMC has improved CoWoS yield to 98% — a critical quality metric for expensive AI chip packages.

The roadmap extends further: by 2029, TSMC aims to provide CoWoS packages with a reticle 14 times larger to accommodate 24 HBM chips, with a system-on-wafer technology in development targeting a 40-fold reticle increase to accommodate 64 HBM chips. That trajectory directly supports the memory bandwidth requirements of next-generation AI accelerators.

COUPE: The Optical Interconnect Layer TSMC Is Adding

The symposium also introduced COUPE — compact universal photonics engine — a packaging technology that integrates multiple integrated circuits, photonic components, and fibre couplers into a single package. TSMC plans to offer COUPE this year and integrate it into CoWoS packages, targeting data centre applications where it would reduce coupling loss, improve energy efficiency, and accelerate chip-to-chip connectivity at optical speeds.

COUPE's introduction at the packaging layer complements the Nvidia-Corning partnership announced earlier this month — both reflecting the same underlying pressure: as AI clusters scale to tens of thousands of accelerators, moving data between chips and across the data centre at sufficient bandwidth and energy efficiency requires optical interconnect solutions that conventional copper cannot provide.

TSMC's Global Footprint: Arizona, Japan, Germany

The symposium provided the most detailed public update yet on TSMC's international expansion:

Arizona is the most advanced international site. The first fab is already in production; tool move-in for the second fab is planned for H2 2026; a third fab is under construction; work on a fourth fab and the site's first advanced packaging facility will begin this year.

TSMC anticipates a 1.8-fold year-on-year increase in Arizona output by 2026, with yields described as comparable to Taiwan — a meaningful credibility statement given historical concerns about non-Taiwan site yield performance. The company also completed the purchase of a second large parcel of land in Arizona for future expansion.

Japan's first fab is in volume production for 22nm and 28nm products. The second fab's plans have been upgraded to 3-nanometer in response to strong demand — a significant improvement over initial specifications.

Germany's fab is under construction on schedule, targeting 28nm and 22nm initially before advancing to 16nm and 12nm technologies.

TSMC's $1.5 trillion 2030 forecast is the most authoritative single data point available for sizing the long-term AI chip market. The company that manufactures chips for Nvidia, Apple, AMD, and virtually every other advanced semiconductor designer has a uniquely privileged view of actual customer order patterns — which is why its forecasts carry more weight than analyst modelling.

The 70% CAGR on 2nm capacity, 90% CAGR on CoWoS, and 11x AI wafer demand growth since 2022 are not aspirational targets — they are capacity commitments already being executed. For investors in the AI semiconductor ecosystem, TSMC's roadmap is the supply-side constraint that defines how quickly every AI application can scale.