Gartner Forecasts Worldwide AI Spending to Grow 47% in 2026
Worldwide spending on AI 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.
“Through 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,” said John-David Lovelock,
Distinguished VP Analyst at Gartner. “Within 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.”
Enterprises will expand their use of both the
GenAI models embedded in existing software applications and the new AI agents 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 models has been
increased to 110% growth in 2026, adding $6 billion in spending for this year.
Up to this point, AI spending
has primarily been driven by technology companies and hyperscalers,” said
Lovelock. “Enterprises have yet to really flex their spending potential. That
is coming and 2026 will be the inflection year. Currently, organizations show
limited appetite for using AI to drive disruptive enterprise change. Instead,
they favor tactical AI initiatives with incremental improvements in efficiency
and productivity.
"For this reason, CIOs
face challenges in proving the value from AI investments and demonstrate
tangible business outcomes,” said Lovelock. “Aligning AI initiatives with
strategic business objectives is the essential step for success. This incremental
approach persists despite AI hype and valuations that reflect aspirations to
transform the broader economy.”
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