Global cloud spending has surged to $90.9 billion in the first quarter of 2025, reflecting a 21% increase year-on-year, according to research from Canalys. This growth is largely attributed to the widespread adoption of artificial intelligence, as enterprises increasingly focus on optimizing their cloud infrastructure to support AI applications. Leading cloud providers, including Amazon Web Services, Microsoft Azure, and Google Cloud, collectively hold 65% of the market share, with Microsoft and Google both reporting growth rates exceeding 30%. However, Amazon’s growth has slowed to 17%, down from 19% in the prior quarter, partly due to supply-side constraints affecting its ability to meet rising demand for AI infrastructure. Canalys highlights that while AWS’s artificial intelligence business is experiencing rapid growth, it remains in the early stages of development, prompting the company to adopt a price-cutting strategy to enhance competitiveness.
A recent survey conducted by Illuminas reveals a growing reliance on cloud partners among IT decision-makers, with over half of respondents indicating dependence on professional services for cloud-related needs. Notably, 28 percent reported being heavily reliant on these services for all aspects of cloud adoption, migration, and operation. The survey highlights key priorities in the cloud landscape, with 45 percent of participants focusing on cost management and 44 percent emphasizing security and disaster recovery. Additionally, 82 percent of organizations are utilizing both private and public cloud environments, with security being a major factor for opting for private clouds. The findings underscore the increasing complexity of cloud computing and the demand for external expertise in managing diverse platforms.
Why do we care?
Cloud isn’t the destination anymore—it’s the foundation for AI-driven business models. And that foundation is growing more complex, hybrid, and performance-sensitive. IT service providers have a narrow but powerful window to stake their claim as AI infrastructure enablers—designing, optimizing, and securing cloud architectures purpose-built for modern workloads.
The winners won’t just be the ones who resell cloud. They’ll be the partners who simplify hybrid complexity, tame costs, and align cloud usage with business strategy—particularly around AI adoption. If you’re not building service lines around multi-cloud management, AI resource orchestration, or cloud security compliance, you’re leaving money—and relevance—on the table. Cloud strategy is no longer a cost conversation—it’s now an AI performance and security imperative. Providers should be positioned not just as cloud managers, but as AI readiness architects.