AI spending
Gartner: AI spending >$2 trillion in 2026 driven by hyperscalers data center investments
According to Gartner, global AI spending will reach close to US$1.5 trillion this year and will top $2 trillion in 2026 as ongoing demand fuel IT infrastructure investment. This significant growth is driven by hyperscalers’ ongoing investments in AI-optimized data centers and hardware, such as GPUs, along with increased enterprise adoption and the integration of AI into consumer devices like smartphones and PCs.
Market | 2024 | 2025 | 2026 |
AI Services | 259,477 | 282,556 | 324,669 |
AI Application Software | 83,679 | 172,029 | 269,703 |
AI Infrastructure Software | 56,904 | 126,177 | 229,825 |
GenAI Models | 5,719 | 14,200 | 25,766 |
AI-optimized Servers (GPU and Non-GPU AI Accelerators) | 140,107 | 267,534 | 329,528 |
AI-optimized IaaS | 7,447 | 18,325 | 37,507 |
AI Processing Semiconductors | 138,813 | 209,192 | 267,934 |
AI PCs by ARM and x86 | 51,023 | 90,432 | 144,413 |
GenAI Smartphones | 244,735 | 298,189 | 393,297 |
Total AI Spending | 987,904 | 1,478,634 | 2,022,642 |
Source: Gartner (September 2025)
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Hyperscaler Investments:
Cloud service providers are heavily investing in data centers and AI-optimized hardware to expand their services at scale. Amazon, Google and Microsoft are all ploughing massive sums into their cloud infrastructure, while reaping the benefits of AI-driven market growth, as Canalys’s latest data showed last week.
Businesses are increasingly investing in AI infrastructure and services, though there’s a shift towards using commercial off-the-shelf solutions with embedded GenAI features rather than solely developing custom solutions.
A growing number of consumer products, including smartphones and PCs, are incorporating AI capabilities by default, contributing to the overall spending growth. IDC forecasts GenAI smartphones* to reach 54% of the market by 2028, while Gartner projects nearly 100% of premium models to feature GenAI by 2029, driving significant increases in both shipments and end-user spending.
* A GenAI smartphone is a a mobile device featuring a system-on-a-chip (SoC) with a powerful Neural Processing Unit (NPU) capable of running advanced Generative Artificial Intelligence (GenAI) models directly on the device. It enables features like content creation, personalized assistants, and real-time task processing without needing constant cloud connectivity. These phones are designed to execute complex AI tasks faster, more efficiently, and with enhanced privacy compared to standard smartphones that rely heavily on the internet for such functions.
AI hardware, particularly GPUs and other AI accelerators, accounts for a substantial portion of the growth, with hyperscaler spending on these components nearly doubling, according to a story at CIO Drive.
About Gartner AI Use Case Insights:
Gartner AI Use Case Insights is an interactive tool that helps technology and business leaders efficiently discover, evaluate, and prioritize AI use cases to potentially pursue. Clients can search over 500 use cases (applications of AI in specific industries) and over 380 case studies (real world examples) based on industry, business function, and Gartner’s assessment of potential business value.
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