Gartner raises worldwide AI spending forecast to $2.7 trillion for 2026

According to Gartner’s latest forecast, worldwide spending on artificial‑intelligence technologies will climb to $2.7 trillion in 2026. The increase represents a 49.5 % rise over 2025, making it the fastest annual growth rate recorded for the sector since Gartner began tracking AI spend.

The surge is not evenly distributed across all AI categories. Gartner highlights that demand for infrastructure‑as‑a‑service (IaaS) platforms specifically tuned for AI workloads, as well as servers, networking gear, semiconductors and edge devices, remains robust despite broader macro‑economic pressures.

Infrastructure demand outpaces price pressure

One notable insight from the forecast is that rising memory prices are expected to have a limited impact on infrastructure procurement. Gartner attributes this to the strategic importance that enterprises place on maintaining compute capacity for AI training and inference, which outweighs short‑term cost fluctuations.

Software vendors are responding by embedding more agentic AI capabilities directly into their existing product suites. This move is intended to protect market share against the emergence of cross‑functional AI agents that could otherwise bypass traditional software boundaries.

Generative AI moves into the ‘trough of disillusionment’

Gartner positions generative AI in the 2026 trough of disillusionment, signalling that the hype surrounding large language models and image generators is beginning to settle. The firm observes a transition toward simpler, task‑specific AI functions that are bundled with software already purchased by enterprises.

Consequently, corporate buyers are shifting their procurement patterns. Rather than engaging large consulting firms for sweeping digital transformations, they are favoring smaller, targeted projects that leverage AI features embedded in the applications they already own.

Projected growth of development platforms and generative models

Gartner forecasts that AI application development platforms will grow at an annual rate of 28 % to 39 % in 2026, while the market for generative models is expected to expand from 110 % to 117 % year over year. These figures underscore a dual trend: rapid expansion of the tools that enable AI creation and a more modest, but still significant, increase in the underlying model capabilities.

• AI‑optimized IaaS services
• High‑performance servers and networking
• Specialized semiconductors for inference
• Edge devices with on‑device AI acceleration

Gartner also projects that combined transformation services and indirect AI projects could generate $1.2 trillion in revenue by 2030. This long‑term view suggests that while 2026 will be dominated by infrastructure spend and incremental software enhancements, the market will eventually mature into a broader ecosystem of services that blend strategic change with tactical AI implementations.

It is essential to remember that these numbers are forward‑looking estimates, not actual expenditures recorded to date. Gartner cautions enterprises to differentiate between the capacity they purchase, the actual usage of that capacity, and the tangible business value derived from AI initiatives.

For an English‑speaking organization, the forecast translates into concrete actions: prioritize budgeting for AI‑ready infrastructure, evaluate existing software for built‑in AI features before buying new tools, and plan for smaller, value‑focused AI projects that can be scaled incrementally. Understanding the distinction between forecasted spend and real‑world consumption will help CIOs allocate resources more efficiently and avoid over‑investing in hype‑driven technologies.

Strategic implications for regional markets

In Europe, where data‑sovereignty regulations shape technology choices, the Gartner outlook reinforces the need for on‑premise or sovereign‑cloud AI infrastructure. Companies there are likely to allocate a larger share of their budgets to compliant AI‑optimized hardware and to partner with local vendors that can assure regulatory adherence.

Overall, the Gartner projection paints a picture of a market that is rapidly expanding in absolute terms while becoming more nuanced in its composition. Enterprises that align their investment strategies with these emerging patterns stand to capture the greatest upside from the AI wave.