AI Boom Fuels $172 Billion Semiconductor Investment Surge by 2029

April 1, 2026
AI Boom Fuels $172 Billion Semiconductor Investment Surge by 2029
  • Global 300mm semiconductor fab equipment spending is projected to grow 18% to $133 billion in 2026, then rise about 14% to $151 billion in 2027, with continued gains to $155 billion in 2028 and $172 billion in 2029, led by AI-driven data-center demand.

  • SEMI notes 404 facilities and lines globally in the Fab Forecast, with 198 updates and nine new fabs/lines since December 2025, signaling ongoing capacity expansion.

  • The 300mm Fab Outlook reiterates the 404 facilities and lines, incorporating 198 updates and nine new fabs/lines since late 2025, as part of SEMI’s Fab Forecast collaboration.

  • The data comes from SEMI’s 300mm Fab Outlook and Fab Forecast datasets, with further details available through SEMI Market Intelligence and related press materials.

  • From 2027 to 2029, a new growth cycle in memory and continued advanced-node expansion are anticipated, aided by policy incentives and supply-chain localization.

  • Memory, led by DRAM and 3D NAND, is expected to rank second in spending, totaling about $175 billion from 2027 to 2029 as AI training and inference boost demand for HBM and storage capacity.

  • SEMI directs readers to its Market Intelligence team for data and subscriptions, and provides contact information for subscribers and reporters.

  • The forecast comes from SEMI’s Fab Forecast database and Fab Outlook, which track hundreds of facilities and production lines globally to inform market intelligence and strategy.

  • AI and advanced-node demand are resetting investment scale, with the Logic & Micro segment leading capacity expansion and driving sub-2nm technology investments from 2027 through 2029.

  • Regional investments from 2027 to 2029 will be broadly distributed: Taiwan leads in advanced-node manufacturing, Korea pushes memory capacity upgrades, China expands domestic capacity, and the Americas, Europe, the Middle East, and Southeast Asia pursue growth with policy incentives.

  • AI-driven demand supports memory investment, with increased HBM use for training and higher NAND storage for inference, sustaining investment across memory supply chains.

Summary based on 8 sources


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