What are the top cloud service providers in 2026?

The top cloud service providers by market share are AWS (28%), Microsoft Azure (21%), and Google Cloud (14%). Together they control 63% of the global cloud infrastructure market. Oracle Cloud, IBM Cloud, Alibaba Cloud, and Salesforce are the largest providers outside the Big Three.

What is the market share of AWS vs. Azure vs. Google Cloud?

As of Q1 2026, AWS holds 28%, Azure holds 21%, and Google Cloud holds 14% of global cloud infrastructure spending, according to Synergy Research Group. Google Cloud is growing fastest at 63% year over year, followed by Azure at 40% and AWS at 19%.

What are the types of cloud computing services?

The four types are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides raw compute and storage. PaaS provides managed application environments. SaaS delivers complete applications. Most organizations use all three across multiple providers alongside serverless.

How do I choose a cloud provider?

Start with your existing technology stack and evaluate for AI workload fit. Run cost comparisons with real workloads (not pricing calculators). Consider multi-cloud from day one. 87% of organizations already do. Most importantly, build spend visibility before signing enterprise agreements.

What is AI in cloud computing?

AI in cloud computing refers to AI and machine learning services offered by cloud providers: foundation model access (AWS Bedrock, Azure OpenAI, GCP Vertex AI), training infrastructure (GPU/TPU clusters), and inference hosting. AI-related cloud spending now represents 19% of total cloud spending in 2026 and is the fastest-growing segment.

Which cloud provider is cheapest for AI workloads?

For GPU compute, GCP is typically 5-10% cheaper than AWS and Azure on equivalent instances. For specific model access, pricing depends on the provider relationship: Azure has exclusive OpenAI models, AWS Bedrock has the broadest model selection. Total AI spend depends more on architecture decisions (model selection, inference optimization, caching) than on raw provider pricing.

What is a multi-cloud strategy?

A multi-cloud strategy uses two or more cloud providers to avoid vendor lock-in, optimize workload placement, and improve resilience. 87% of organizations run multi-cloud in 2026. The trade-off: operational complexity and the need for cross-provider spend visibility.

How do you track cloud costs across multiple providers?

Native billing tools (AWS Cost Explorer, Azure Cost Management) only show spend within their own platform. Cross-provider visibility requires a dedicated solution like CloudZero, which aggregates spend across AWS, Azure, GCP, Kubernetes, and 50+ AI platforms into a single view mapped to business dimensions.

How is AI changing the economics of cloud computing?

AI workloads consume more compute, produce more variable costs, and are harder to attribute to business outcomes than traditional cloud workloads. GPU-based training runs can cost $10,000-$100,000 each, and inference costs scale with user adoption. The central finance question in 2026 is not "how much does our cloud cost?" but "what is the return on our AI spend?" Answering that requires granular attribution that native cloud billing does not provide.

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