{"id":97232,"date":"2026-05-19T17:15:37","date_gmt":"2026-05-19T14:15:37","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=97232"},"modified":"2026-05-19T17:20:14","modified_gmt":"2026-05-19T14:20:14","slug":"gartner-predicts-ai-spending-to-reach-2-59-trillion","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/gartner-predicts-ai-spending-to-reach-2-59-trillion\/","title":{"rendered":"Gartner Predicts AI Spending to Reach $2.59 Trillion"},"content":{"rendered":"

Global spending on artificial intelligence is projected to reach $2.59 trillion in 2026, marking a 47% increase year-on-year, according to a forecast<\/a> by Gartner.<\/p>\n

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Source: Gartner.<\/figcaption><\/figure>\n

Analysts believe the market will continue to grow due to infrastructure, embedded AI models, and expanding corporate demand. They estimate that by 2027, the figure could reach $3.49 trillion.<\/p>\n

The largest segment will remain AI infrastructure. Gartner expects spending in this category to reach $1.43 trillion in 2026. For comparison, the 2025 figure was estimated at $975.6 billion, primarily involving cloud hardware solutions, network equipment, and semiconductors.\u00a0<\/p>\n

Experts highlighted the role of major tech companies like Microsoft, Amazon, and Google, which have so far driven the majority of AI spending growth.<\/p>\n

Gartner anticipates a significant increase in activity from corporate clients this year, describing this period as a turning point for AI adoption in business.<\/p>\n

Analysts have revised their forecast for spending on AI models, expecting the segment to grow by 110% in 2026. This adjustment increased the spending estimate for the current year by approximately $6 billion.<\/p>\n

The company attributed the revision to the rapid spread of models embedded in existing software and the growing number of AI agents<\/a> in workflows.<\/p>\n

According to Gartner’s forecast:<\/p>\n