Stock Markets May 13, 2026 10:12 PM

TSMC Sees Semiconductor Market Surging to $1.5 Trillion by 2030 as AI Dominates Demand

Chipmaker plans accelerated capacity expansion and multiple new fabs to meet steep AI and high-performance computing demand

By Jordan Park TSM NVDA

TSMC projects the global semiconductor market will top $1.5 trillion by 2030, lifting its earlier $1 trillion estimate. The firm expects AI and high-performance computing to comprise the majority of market value, and outlined substantial capacity and packaging build-outs across Taiwan, the United States, Japan, and Germany to satisfy rapidly growing wafer and packaging demand.

TSMC Sees Semiconductor Market Surging to $1.5 Trillion by 2030 as AI Dominates Demand
TSM NVDA

Key Points

  • TSMC raised its 2030 global semiconductor market forecast to more than $1.5 trillion, up from a prior $1 trillion estimate.
  • AI and high-performance computing are expected to make up 55% of the market, with smartphones at 20% and automotive at 10% - impacting data center, mobile, and auto sectors.
  • TSMC is accelerating capacity expansion, including nine planned phases of wafer fab and advanced packaging construction in 2026, and has specific ramp targets for 2nm and packaging technologies.

TSMC forecast that the global semiconductor industry will surpass $1.5 trillion in value by 2030, a significant upward revision from an earlier $1 trillion outlook. The company attributed the bulk of that expansion to demand from artificial intelligence and high-performance computing workloads.

In presentation materials released ahead of a technology symposium, TSMC estimated that AI and high-performance computing will represent about 55% of the projected $1.5 trillion market. Smartphones were identified as accounting for roughly 20% and automotive applications about 10% of the market.

To align supply with that demand trajectory, TSMC said it is accelerating capacity additions in 2025 and 2026 and will initiate nine phases of wafer fab and advanced packaging construction in 2026. The company outlined specific production ramps and packaging growth targets tied to next-generation nodes and AI-focused products.

  • Advanced nodes - TSMC plans to scale production of its leading-edge 2-nanometer processes and the follow-on A16 generation, targeting a compounded annual growth rate of 70% in capacity from 2026 through 2028.
  • Advanced packaging - Capacity for CoWoS, TSMC's Chip on Wafer on Substrate technology, is projected to grow at better than an 80% CAGR between 2022 and 2027. CoWoS is a widely used packaging solution for AI accelerators, including chips designed by Nvidia.
  • AI accelerator wafers - Demand for wafers used in AI accelerators is expected to rise roughly 11-fold from 2022 to 2026.

The presentation also mapped TSMC's global footprint and specific site developments.

Arizona - The first fab in Arizona is already in production. Tool move-in for a second Arizona fab is scheduled for the second half of 2026. Construction of a third fab is underway, and work on a fourth fab plus the site’s first advanced packaging facility is expected to begin this year. TSMC anticipates Arizona output will increase 1.8-fold year on year by 2026, and said yields there will be comparable to those in Taiwan. The company has completed the acquisition of a second large parcel of land in Arizona for future expansion.

Japan - TSMC reported that its first Japanese fab is in volume production for 22-nanometer and 28-nanometer products. In response to strong demand, plans for the second Japanese fab have been upgraded to 3-nanometer technology.

Germany - The German fabrication site is under construction and progressing as scheduled. TSMC plans to supply 28-nanometer and 22-nanometer technologies initially, followed by deployments of 16-nanometer and 12-nanometer processes.


TSMC's projections outline material shifts in semiconductor demand composition and indicate substantial capital and operational commitments across multiple regions to support rising AI and high-performance computing workloads.

Risks

  • Execution risk on large-scale capacity projects across Arizona, Japan, and Germany could affect timelines and output levels - this could impact supply for data centers, mobile, and automotive customers.
  • Dependence on rapid ramp-up of advanced nodes and packaging (2nm, A16, and CoWoS) introduces technological and yield uncertainties that could influence availability for AI accelerators and other high-performance applications.
  • Concentration of near-term demand in AI and high-performance computing raises exposure to sector-specific swings in spending by cloud providers and hyperscalers.

More from Stock Markets

Asia markets edge up as tech firms lift sentiment; Chinese stocks retreat before high-level U.S.-China talks May 13, 2026 Pension Chiefs Raise Alarm Over SpaceX’s Proposed Control-Heavy IPO Structure May 13, 2026 Federal Court Rules Coles Misled Shoppers Over 'Down Down' Discounts; Shares Slip May 13, 2026 Air India cuts open door for foreign carriers as Gulf airspace disruptions reshape routes May 13, 2026 Asia-Pacific Stocks Lifted by AI Rally as Markets Eye Trump-Xi Summit May 13, 2026