Gartner forecasts AI infrastructure spending will reach $2.4 trillion in 2027

Nov 12, 2026
Gartner forecasts global AI infrastructure spending will rise 53% to $2.4 trillion in 2027, representing 59% of total AI spending.

Gartner forecasts in a press release that global AI infrastructure spending will reach $2.4 trillion in 2027, up 53% from 2026. Infrastructure will represent 59% of the $4 trillion expected to be spent on AI worldwide that year.

Spending on servers optimized for AI will rise from $527.6 billion in 2026 to $957.2 billion in 2027, making servers the largest infrastructure segment. Gartner attributes the increase to expanding inference workloads, more demanding model training, infrastructure construction by hyperscalers and neocloud providers, and higher memory prices.

The firm expects AI software spending to grow 42% in 2027, while services spending rises 29.5%. Spending on generative AI models will increase 82% to $51 billion, with foundation models accounting for 81% of that market.

Gartner sells research and advisory services to technology buyers and vendors; the full forecast is available to its clients.

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