
The global cloud market has entered its most aggressive expansion phase to date. According to the latest data from Omdia, spending on cloud infrastructure services reached a staggering USD 110.9 billion in Q4 2025, a 29% year-on-year increase. This marks the sixth consecutive quarter of 20%+ growth, signalling that the enterprise appetite for AI has moved firmly from "experimentation" to "production deployment."
As we look toward 2026, the competitive landscape is no longer just about who has the most GPUs. It is being reshaped by capital efficiency, infrastructure scale, and the ability to host complex AI agents.
The great CapEx Race: A USD 200 billion bet
The sheer scale of investment required to sustain this momentum is unprecedented. Hyperscalers are drastically increasing capital expenditure (CapEx) to ensure they aren't caught off-guard by surging demand.
AWS: Expects 2026 CapEx to reach USD 200 billion, a massive 50% jump from 2025.
Microsoft: Reported quarterly CapEx of USD 37.5 billion, focusing heavily on localised footprints like the upcoming Saudi Arabia East region.
Google: Raised its 2026 guidance to between USD 175 billion and USD185 billion, more than doubling its prior-year investment.
Beyond the model: The rise of Agentic frameworks
The "Next Phase" of competition is moving up the stack. As Yi Zhang, Senior Analyst at Omdia, notes, the key question for enterprises is now about reliability and scaling in production. This has pushed cloud vendors to prioritise tool governance and workflow orchestration.
AWS (32% Market Share): Maintaining its lead with a USD 244 billion backlog. The introduction of Nova Forge allows enterprises to build "Novellas" (customised foundation models), while products like Kiro and Connect turn raw models into tangible business agents.
Microsoft Azure (22% Market Share): Growing at 39%, Azure is embedding AI into the very fabric of IT. The February 2026 launch of Agentic Cloud Operations enables Azure Copilot to handle continuous optimisation and application modernisation autonomously.
Google Cloud (12% Market Share): The growth leader at 50% YoY. Google’s multi-year partnership with Apple to develop next-gen Foundation Models using Gemini technology has significantly boosted its demand visibility, reflected in a USD 240 billion backlog.
Infrastructure diversification
Crucially, AI demand is no longer confined to specialised GPU clusters. It is now pulling through massive requirements for high-performance CPUs, storage, and networking. Organisations now require "Operational Foundations", environments that can govern data integration and scale workflows across hybrid environments.
“For cloud vendors, the challenge is no longer just about scaling capacity quickly enough, but about doing so with discipline,” saysRachel Brindley, Senior Director at Omdia. “Vendors that can expand in a more targeted and efficient way will lead.”
Conclusion
The cloud is no longer just a place to store data or rent compute; it has become the "OS" for the AI Agent era. With backlogs reaching record highs and investment hitting the hundreds of billions, the winners of 2026 will be those who can provide the most robust, governed, and efficient orchestration for the world’s autonomous security and productivity workforces.
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