Google Cloud is smaller than AWS and Microsoft Azure by estimated global cloud infrastructure share, but it grew faster than either in Q4 2025. That makes Google a significant and expanding competitor—not automatically the cheapest or best fit. For a business choosing a provider, the practical comparison is how each handles its required workloads, regions, existing systems, migration effort and total cost.
Where Google Cloud stands against AWS and Azure
Omdia’s Q4 2025 estimate, published in March 2026, puts AWS first, Azure second and Google Cloud third in global cloud infrastructure. Google Cloud had the highest year-over-year revenue growth of the three in that quarter.
| Provider | Estimated global cloud infrastructure share, Q4 2025 | Year-over-year revenue growth, Q4 2025 |
|---|---|---|
| AWS | 32% | 24% |
| Microsoft Azure | 22% | 39% |
| Google Cloud | 12% | 50% |
These are Omdia’s estimates for the quarter, not permanent rankings or measures of product quality. Omdia defines cloud infrastructure services as bare-metal-as-a-service (BMaaS), infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), container-as-a-service (CaaS) and third-party-hosted serverless. The shares do not represent the entire software cloud market or AI-specific market share. Omdia’s Q4 2025 announcement provides the underlying context.
What the market figures can—and cannot—tell you
Market share indicates relative scale within a defined market; growth indicates how quickly a provider’s reported revenue increased over a specified period. Neither tells a buyer whether a particular application will perform well, what its bill will be, or how much it will cost to move. The available evidence does not establish a neutral, current benchmark comparing application performance, reliability or AI model quality across all three providers.
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Other estimates can differ because they cover different periods or define the market differently. For example, the OECD’s 2025 report gives estimates of 31% for AWS, 24% for Azure and 11.5% for Google Cloud, based on source data from 2022–2024. Those are older, general public-cloud estimates—not a like-for-like alternative to Omdia’s Q4 2025 cloud-infrastructure figures, and not AI-specific market shares. The OECD also identifies providers beyond these three as regionally important. Read the OECD report.
Compare the regions and services your workload needs
A provider’s overall scale does not guarantee that every required product is available in the region where your data or users must be. Check service availability, capabilities and data-location requirements in each target region before settling on a provider. This matters especially when regulations, customer commitments or application design limit where data can be stored or processed.
Rank #2
Google Cloud’s location page, last updated October 5, 2026, lists regions and services and says availability changes over time: “Available products in the region will continue to evolve based on customer demand.” It also notes that new regions start with a defined minimum set of services and that additional services are rolled out over time. Check the specific products you need rather than relying on a headline region count. Google Cloud’s regions and zones page is its own availability information, not an independent comparison of all providers.
Evaluate AI and data platforms against a real use case
AI and analytics can influence a cloud decision, but a vendor’s broad AI positioning is not proof that a service will suit a particular workload. Compare the models and data services you need, governance requirements, throughput, deployment region and how the tools fit your existing systems. Confirm that the specific services are available where required.
Rank #3
Microsoft’s FY2025 annual report presents Fabric and Azure AI Foundry as part of its platform strategy. It also says: “Every Azure region is now AI-first and can support liquid cooling, increasing the fungibility and the flexibility of our fleet.” That is Microsoft’s corporate description of its infrastructure, not an independent assessment or a cross-provider performance result. Microsoft’s FY2025 annual report gives its account of the strategy.
Account for existing systems and the cost of switching
The provider with the lowest apparent service price may not have the lowest total cost for an organization. Existing identity systems, software, staff skills, contracts and data locations can all affect implementation and switching effort. Keeping more than one provider may also add operational complexity even when it offers flexibility. The UK Competition and Markets Authority’s investigation examined customer purchasing, pricing, switching and multi-cloud use; that evidence concerns the UK market and should not be treated as a universal rule for every buyer. The CMA’s cloud services market investigation published its final decision in 2025.
Microsoft reports that Azure and other cloud-services revenue grew 34% in its fiscal year 2025. The company also reports more than 400 datacenters in 70 regions. These are Microsoft’s own figures for a fiscal year and its reported footprint; they are not directly comparable to Omdia’s calendar-quarter growth rates or an independent, like-for-like region count for AWS and Google Cloud. Microsoft’s annual report sets out those disclosures.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Build a workload-specific cost comparison
There is no established universal cheapest provider. A meaningful comparison needs the same workload assumptions on each side and the prices applicable to your organization, including negotiated terms.
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- Specify the region, compute configuration, expected utilization and duration.
- Include storage, data transfer and network egress, not only compute charges.
- Account for support, commitment discounts and the length of any commitment.
- Estimate migration and ongoing operating effort, including the skills needed to maintain the system.
- Check that each option meets the required service, data-location and governance needs before comparing totals.
Without matched configurations and current quotes, a provider price comparison would be misleading. Treat the result as a cost model for the workload and terms you specified, not a general ranking of cloud providers.
How to choose between Google Cloud, AWS and Azure
- Define the workload. List the applications, data services, AI needs, performance expectations and governance requirements the provider must support.
- Set the geographic constraints. Identify where data must reside and which regions can serve users; verify each required service in those regions.
- Map the organization’s starting point. Document existing systems, contracts, staff expertise and dependencies that could affect migration or ongoing management.
- Compare equivalent designs. Price and assess viable configurations using the same region, utilization, storage, data movement, support and commitment assumptions.
- Test the decision against operating realities. Include migration effort, day-to-day skills and the consequences of using one provider or multiple providers.
Google Cloud’s faster growth in the cited quarter is a reason to take its competition seriously, not a recommendation on its own. The right choice is the provider whose regional services, workload fit, organizational ecosystem and full costs best meet the buyer’s requirements.
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