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How large are the Big Three, and how is the gap changing?
Synergy Research Group’s worldwide cloud-infrastructure estimates cover infrastructure as a service (IaaS), platform as a service (PaaS), and hosted private cloud services. Its quarterly figures show both the current order and the recent direction of travel:
| Provider or measure | Q3 2025 | Q1 2026 | Q2 2026 |
|---|---|---|---|
| Amazon Web Services (AWS), worldwide share | 29% | 28% | 28% |
| Microsoft, including Azure, worldwide share | 20% | 21% | 20% |
| Google Cloud, worldwide share | 13% | 14% | 15% |
| Top three combined share | 63% | not stated (Synergy Research Group) | 67% |
| Worldwide quarterly cloud-infrastructure revenue | not stated (Synergy Research Group) | not stated (Synergy Research Group) | $143.4 billion |
| Year-over-year market growth | not stated (Synergy Research Group) | not stated (Synergy Research Group) | 43% |
All shares and market-growth figures in the table are Synergy Research Group estimates for the stated quarter and worldwide market; the Q2 revenue and growth figures compare that quarter with the year-earlier period. Across the reported share estimates, AWS remains first. Google’s share rises over the displayed periods, while Microsoft’s Q2 estimate is below its Q1 figure. Synergy says both challengers are growing substantially faster than AWS, a sign that relative market weight can shift even before the rankings do.
Why do market-share figures differ between reports?
Market share is meaningful only alongside the market definition, time period, and measurement method. Synergy’s estimate above includes IaaS, PaaS, and hosted private cloud services. Gartner’s worldwide public-cloud IaaS estimate is narrower, so its percentages should not be placed in the same ranking as Synergy’s as if they measured an identical market.
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| Gartner worldwide public-cloud IaaS measure | 2024 estimate |
|---|---|
| Total market revenue | $171.8 billion |
| Year-over-year market growth | 22.5% |
| Amazon share | 37.7% |
| Microsoft share | 23.9% |
| Google share | 9.0% |
| Amazon revenue | $64.8 billion |
These are Gartner’s 2024 worldwide public-cloud IaaS estimates, not a competing measurement of Synergy’s broader Q2 2026 market. Gartner Principal Analyst Hardeep Singh described the context: “As enterprises continue to seek greater flexibility, improved resilience and optimized performance, there is sustained demand for cloud migration and modernization services.”
Which provider is growing fastest, and what is driving growth?
On Synergy’s Q2 2026 assessment, Microsoft and Google are growing substantially faster than AWS, although the supplied figures do not give provider-by-provider growth rates for that comparison. Synergy also reported that revenue from generative-AI-specific cloud services grew 165% year over year in Q2 2026. That is a segment growth rate, not the growth rate of any one provider’s overall cloud business.
Rank #2
Microsoft separately reported $59.3 billion in Microsoft Cloud revenue, up 27% year over year, in FY2026 Q4, and 43% growth in Azure and other cloud services revenue for that quarter. Those are company-reported results, not independent global market-share estimates. Satya Nadella, Microsoft’s chairman and CEO, said: “This year, Azure revenue surpassed $100 billion for the first time, and Microsoft 365 Copilot reached over 30 million paid seats, reflecting the confidence customers are placing in us to power their AI transformation.” The statement is Microsoft’s account of its business, rather than an apples-to-apples comparison with AWS or Google.
Synergy Chief Analyst John Dinsdale summarized the broader demand driver: “AI technology has lit a fire under the cloud market and is now driving unprecedented growth.” AI is an important accelerant in the current expansion, but it is not the only factor; cloud migration and modernization also contribute to demand.
Rank #3
Does AWS’s lead mean it is the best cloud provider for every organization?
No. Market share measures provider scale, not how well a service fits a particular workload. A useful comparison starts with the organization’s existing systems and constraints, then evaluates the work and cost of running the intended applications in each candidate environment.
- Existing ecosystem: Account for the software, identity systems, data platforms, and operating practices already in place. Their compatibility can affect migration effort and ongoing management.
- AI and data workloads: Compare the services and capacity available for the specific model, data location, performance, and governance requirements. Rapid category growth alone does not establish which provider fits a given workload.
- Geography and sovereignty: Check whether the required regions and controls satisfy applicable data-residency, sovereignty, and regulatory obligations.
- Skills and partners: Consider which platform the team can operate effectively and whether implementation or support expertise is available.
- Migration and portability: Estimate the effort to move applications and data, as well as the practical difficulty of moving them again later. Modernization can change the workload rather than simply relocating it.
- Total cost: Model the actual compute, storage, data transfer, support, and commitment terms for the workload. The figures here do not provide a reliable apples-to-apples price benchmark, so headline market share cannot answer which option will cost less.
A provider’s scale may matter when evaluating its breadth and momentum, but the decision should follow workload fit, organizational readiness, geography, and realistic cost estimates.
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