Worldwide spending on artificial intelligence is projected to reach $4 trillion in 2027, marking a 47.5% increase from 2026, according to a forecast released by the global research and advisory company Gartner, Inc.
Gartner predicts that AI infrastructure will account for 59% of all global AI spending next year, rising 53% from 2026 to reach $2.4 trillion. Within this category, spending on AI-optimized servers, which is the largest segment, is forecast to climb from $527.6 billion in 2026 to $957.2 billion in 2027. According to Gartner Distinguished VP Analyst John-David Lovelock, this growth is driven by expanding inference and compute-intensive training workloads, ongoing build-outs by hyperscalers and neocloud providers, and rising server prices.
Other major AI sectors are also expected to see substantial growth in 2027. Worldwide spending on AI services is forecast to rise 29.5% to $746 billion, while AI software spending is projected to increase 42% to $649 billion. Additionally, spending on AI agents and assistants is projected to grow from $30 billion to $67 billion, and AI cybersecurity spending is expected to rise from $51 billion to $86 billion.
In the generative AI model market, total spending is projected to grow 82% to reach $51 billion in 2027. While spending on domain-specific and specialized AI models is expected to increase by 99%, foundation GenAI models will continue to dominate the market, accounting for 81% of total model spending.
