Nvidia Projects Trillion-Dollar AI Data Center Spending by 2030
Nvidia projects global data center capital expenditures will reach up to $4 trillion annually by 2030 as AI infrastructure demand continues to surge.
Nvidia projects that global data center capital expenditures will reach between $3 trillion and $4 trillion annually by 2030. This growth is driven by an intense AI infrastructure build-out, with AI hyperscalers expected to spend more than $1 trillion next year alone. Currently, the four largest AI hyperscalers project spending over $650 billion on data center capital expenditures for 2026.
While the company's AI data center chip market share is expected to decline from 80% to 75% this year due to competition from Advanced Micro Devices and Broadcom, its addressable market remains vast. Nvidia has seen rapid expansion in its data center networking segment, where revenue tripled year-over-year to $14.8 billion at the start of fiscal 2027. Analysts project an 88% increase in earnings for fiscal 2027.
Broader industry projections support this growth trajectory. TSMC upgraded its global semiconductor market revenue projection to $1.5 trillion by 2030, with AI and high-performance computing chips expected to comprise 55% of that total. Meanwhile, Broadcom expects its AI semiconductor revenue to exceed $100 billion by 2027, and Micron Technology anticipates that memory chip supply will remain tight beyond 2027.