\nWorldwide spending on AI<\/a> is forecast to total $2.59 trillion in 2026, a 47% increase year-over-year, according to Gartner, Inc. a business and technology insights company.<\/p>\n
\n\u201cThrough the next several years, the need for capacity will make AI infrastructure, including AI-optimized IaaS, AI-optimized servers, AI network fabric, AI processing semiconductors and devices, the largest segment of the market, accounting for over 45% of spending, which will be driven by vendors,\u201d said John-David Lovelock<\/a>, Distinguished VP Analyst at Gartner. \u201cWithin this segment, spending on AI-optimized servers will triple over the next five years to become the largest subsegment, as cloud services providers expand capacity in anticipation of the workloads created by GenAI models and agentic workflows.\u201d<\/p>\n \nEnterprises will expand their use of both the GenAI models embedded in existing software applications and the new AI agents<\/a> within multiple workflows. Model consumption will increase through multistep processes and integration into broad suites of tools as enterprises recognize the potential value of agentic automation. This dynamic means that the short-term outlook for AI<\/a> models has been increased to 110% growth in 2026, adding $6 billion in spending for this year (see Table 1).<\/p>\n Table 1: Worldwide AI Spending by Market, 2025-2027 (Millions of U.S. Dollars)<\/b><\/p>\n
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