Google Cloud reached a record 15% share of the worldwide cloud infrastructure market in the second quarter of 2026, according to newly published industry data, extending a multi-year climb that has come almost entirely at Amazon Web Services' expense.
Worldwide spending on cloud infrastructure services totaled $143.4 billion in the quarter, up 43% year over year, a growth rate industry trackers describe as the fastest the category has logged in eight years. The three largest providers, AWS, Microsoft Azure and Google Cloud, now account for a combined 63% of that spending.
The numbers behind the shift
AWS remains the largest cloud provider by a wide margin, holding 28% market share and generating $42.23 billion in quarterly revenue. But that share has slipped from roughly 31% at the end of 2024, a decline of three percentage points over six quarters even as the company's absolute revenue keeps growing. AWS's year-over-year growth rate of 37% is now the slowest of the three major providers.
Microsoft Azure held steady at 20% share with $29.4 billion in quarterly revenue, growing 43% year over year, roughly in line with the overall market.
Google Cloud posted $24.8 billion in quarterly revenue on 82% year-over-year growth, by far the fastest expansion among the three. Its market share has climbed from 10% at the end of 2024 to 15% now, a five-percentage-point gain in six quarters that industry analysts attribute to aggressive enterprise AI infrastructure deals, deeper integration between Google Cloud and the company's Gemini model family, and price and performance improvements in its custom Tensor Processing Unit hardware.
Why AI workloads are reshaping the market
The scale of the shift reflects how much cloud spending has become AI infrastructure spending. Enterprises training and running large language models need specialized chips, high-bandwidth networking between servers, and the kind of long-running, fault-tolerant compute environments that were a much smaller share of cloud budgets before generative AI adoption accelerated in 2024 and 2025.
Google's TPU hardware, which the company controls end to end rather than sourcing from a third-party chipmaker, has given Google Cloud a cost advantage on certain AI training and inference workloads that analysts say is showing up directly in the market-share numbers. AWS, by contrast, has leaned more heavily on Nvidia GPUs alongside its own Trainium chips, while Azure's growth has been closely tied to its exclusive hosting relationship with OpenAI.
None of the three companies has suggested the underlying demand for cloud infrastructure is slowing. The 43% year-over-year growth in total spending suggests the opposite: all three providers are growing in absolute terms, and the market-share shifts are happening within a pool of demand that keeps expanding rather than one provider taking business directly from another.
What it means for enterprise buyers
For IT and cybersecurity leaders managing multi-cloud environments, the growth in Google Cloud's share adds a third serious option to a market that many enterprises had effectively treated as a two-horse race between AWS and Azure for the better part of a decade. That has practical implications for procurement leverage, vendor lock-in strategy, and the calculus around which provider offers the best price-to-performance ratio for AI-heavy workloads specifically, as opposed to general-purpose compute and storage.
Analysts expect the next several quarters to show whether Google Cloud's growth rate can be sustained as it approaches a larger revenue base, or whether the pace naturally moderates as the law of large numbers catches up with a company still roughly a third the size of AWS by revenue.
