AWS vs Azure vs GCP: Which Companies Use What (Market Share Data)

The cloud infrastructure market is a three-horse race, and it has been for years. Amazon Web Services, Microsoft Azure, and Google Cloud Platform collectively control approximately 67 percent of global cloud infrastructure spending. But the top-level market share numbers — AWS at roughly 31 percent, Azure at 25 percent, and GCP at 11 percent — obscure the reality that every B2B sales team needs to understand: cloud provider adoption varies enormously by company size, industry, geography, and technology ecosystem.

If you sell software, services, or infrastructure to businesses, knowing which cloud a company runs on is one of the most powerful prospecting signals available. It tells you about their technical philosophy, their vendor relationships, their budget allocation, and which complementary technologies they are likely to use.

This analysis breaks down the big three cloud providers across the dimensions that matter for B2B prospecting, using publicly available market data, analyst reports, and technographic patterns observable through platforms like StackWho.

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Overall Market Share in 2026

Before diving into segments, here is where the three providers stand based on aggregated data from Synergy Research Group, Canalys, and Gartner estimates for Q4 2025 through Q1 2026:

AWS: 31 percent of global cloud infrastructure market share. Growth rate approximately 17 percent year-over-year — the slowest among the three, but off the largest base.
Microsoft Azure: 25 percent market share. Growth rate approximately 24 percent year-over-year, consistently the fastest-growing of the big three, narrowing the gap with AWS.
Google Cloud Platform: 11 percent market share. Growth rate approximately 28 percent year-over-year, the highest growth rate but from a smaller base. GCP turned its first sustained operating profit in 2024 and has been investing aggressively in enterprise sales.

The remaining 33 percent is split among regional providers (Alibaba Cloud, Oracle Cloud, IBM Cloud), niche providers, and private cloud infrastructure. This long tail is shrinking as the big three continue to consolidate the market.

Market Share by Company Size

Company size is the single strongest predictor of cloud provider choice. The patterns are consistent across industries and geographies.

Startups and small companies (under 200 employees):

AWS dominates with approximately 52 percent adoption. AWS’s early mover advantage, extensive documentation, generous free tier, and startup credits program make it the default choice for new companies. Most developers learn cloud computing on AWS first.
GCP holds approximately 24 percent, driven by Google’s startup credits program (up to $350,000 in credits through the Google for Startups program), strong appeal among AI-focused startups, and the popularity of Firebase for early-stage applications.
Azure has approximately 15 percent, primarily among startups in the Microsoft ecosystem or those building on .NET. Azure’s startup program has grown, but it lacks the developer mindshare that AWS and GCP command in the startup community.

Mid-market companies (200 to 5,000 employees):

AWS leads with approximately 42 percent. Many mid-market companies started on AWS and have stayed. The breadth of AWS services — from compute to ML to IoT — keeps growing companies on the platform as their needs expand.
Azure has approximately 33 percent, significantly higher than in the startup segment. Mid-market companies often run Microsoft 365 and Active Directory, creating a natural pathway to Azure for cloud infrastructure. Azure’s enterprise sales team targets the mid-market aggressively.
GCP holds approximately 18 percent, with strongest adoption among data-intensive and analytics-focused companies. BigQuery’s ease of use and competitive pricing for analytics workloads drives GCP adoption in this segment.

Enterprise companies (5,000+ employees):

Azure leads with approximately 39 percent, the only segment where Azure outpaces AWS. Enterprise companies typically have deep Microsoft relationships spanning decades — Exchange, Active Directory, Windows Server, SQL Server, Microsoft 365 — and Azure benefits from enterprise agreements that bundle cloud credits with existing Microsoft licensing.
AWS has approximately 34 percent. AWS maintains strong enterprise adoption among companies that went cloud-first or ran significant workloads on AWS before Azure reached feature parity. AWS’s breadth of services and mature partner ecosystem are its primary enterprise strengths.
GCP has approximately 14 percent, with its strongest enterprise position in data analytics, AI/ML, and among companies with significant open-source or Kubernetes-native infrastructure. Google’s acquisition of enterprise customers has accelerated since 2024 under CEO Thomas Kurian’s enterprise push.

For B2B sales teams, this segmentation is immediately actionable. If you sell to startups, filtering for AWS companies on StackWho will capture the largest segment of your market. If you sell to enterprises, searching for Azure-first companies will surface the most accounts.

Market Share by Industry

Industry creates strong patterns in cloud provider adoption, driven by regulatory requirements, existing vendor relationships, and the specific capabilities each cloud emphasizes.

Financial services:

AWS leads at approximately 40 percent, driven by early adoption and extensive compliance certifications (FedRAMP, PCI DSS, SOC 2). Goldman Sachs, Capital One, and NASDAQ run major workloads on AWS.
Azure has approximately 32 percent, popular among traditional banks with Microsoft infrastructure. JPMorgan, Bank of America, and Deutsche Bank are Azure customers.
GCP has approximately 15 percent but is growing fastest in fintech companies and firms adopting AI for trading and risk analysis. GCP’s BigQuery and Vertex AI are compelling for quantitative use cases.

Healthcare and life sciences:

AWS leads at approximately 38 percent with strong HIPAA compliance tooling and healthcare-specific services.
Azure has approximately 35 percent, benefiting from Microsoft’s deep relationships with hospital systems and the popularity of Azure’s healthcare APIs.
GCP has approximately 12 percent, with strength among genomics and research-focused organizations using Google’s AI and data capabilities.

Retail and e-commerce:

AWS dominates at approximately 48 percent. Despite Amazon being a competitor to many retailers, AWS’s e-commerce infrastructure (CloudFront CDN, Lambda for serverless, DynamoDB for high-throughput) is hard to match.
Azure has approximately 22 percent, gaining ground with retailers who resist using a competitor’s infrastructure.
GCP has approximately 18 percent, with strong adoption among data-driven retailers and D2C brands leveraging Google’s advertising and analytics integration.

Technology and SaaS:

AWS leads at approximately 46 percent. Most SaaS companies build on AWS by default due to its breadth of services, global region availability, and developer familiarity.
GCP has approximately 22 percent — its highest industry share — driven by Kubernetes-native SaaS companies, AI-focused startups, and the popularity of GKE and BigQuery.
Azure has approximately 20 percent, strongest among B2B SaaS companies selling to Microsoft-centric enterprises who want “runs on Azure” as a selling point.

Government and public sector:

AWS leads at approximately 44 percent, with AWS GovCloud holding major government contracts including the CIA and numerous federal agencies.
Azure has approximately 38 percent and is closing the gap rapidly, particularly after winning portions of the Pentagon’s JWCC contract. Azure Government has FedRAMP High authorization across most services.
GCP has approximately 8 percent in government, though Google’s investment in FedRAMP certifications and government-specific regions is increasing.

Market Share by Geography

Cloud adoption patterns differ significantly by region.

North America: AWS 33 percent, Azure 24 percent, GCP 12 percent. The most mature cloud market with the highest overall adoption. Provider shares closely mirror global averages.

Europe: Azure 29 percent, AWS 28 percent, GCP 10 percent. Azure leads in Europe, driven by Microsoft’s long-standing enterprise relationships, EU data residency commitments, and the popularity of Microsoft’s local data center strategy. Regulatory requirements like GDPR have actually benefited the big three over smaller providers that lack local infrastructure.

Asia Pacific: AWS 30 percent, Azure 20 percent, Alibaba Cloud 15 percent, GCP 10 percent. Alibaba Cloud is the major regional competitor, particularly in China and Southeast Asia. AWS leads in Australia, Japan, and India.

Latin America: AWS 35 percent, Azure 22 percent, GCP 8 percent. AWS’s early investment in the Sao Paulo region gave it a lasting advantage. Azure is growing rapidly, particularly among companies already using Microsoft 365.

Complementary Technology Patterns

One of the most valuable insights from technographic data is which technologies commonly appear alongside each cloud provider. These patterns reveal ecosystems — not just individual choices.

Companies running AWS commonly also use:

Datadog (monitoring) — approximately 40 percent co-occurrence
Terraform (infrastructure as code) — approximately 55 percent co-occurrence
Snowflake (data warehouse) — approximately 28 percent co-occurrence
Jenkins or CircleCI (CI/CD) — approximately 35 percent co-occurrence
PagerDuty (incident management) — approximately 25 percent co-occurrence
Redis (caching) — approximately 45 percent co-occurrence

Companies running Azure commonly also use:

Microsoft 365 — approximately 92 percent co-occurrence
Power BI (business intelligence) — approximately 55 percent co-occurrence
Azure DevOps or GitHub Actions (CI/CD) — approximately 60 percent co-occurrence
.NET Framework — approximately 48 percent co-occurrence
Dynamics 365 (ERP/CRM) — approximately 22 percent co-occurrence
SQL Server — approximately 40 percent co-occurrence

Companies running GCP commonly also use:

BigQuery (analytics) — approximately 65 percent co-occurrence
Kubernetes/GKE (orchestration) — approximately 58 percent co-occurrence
Looker (business intelligence) — approximately 30 percent co-occurrence
Firebase (application development) — approximately 35 percent co-occurrence
Terraform (infrastructure as code) — approximately 50 percent co-occurrence
dbt (data transformation) — approximately 32 percent co-occurrence

These complementary patterns are prospecting gold. If you sell a monitoring tool that competes with Datadog, targeting AWS companies that have not yet adopted Datadog gives you a defined, reachable market. StackWho’s search lets you combine cloud provider filters with other technology filters to build precisely these kinds of lists.

Multi-Cloud Adoption Trends

Multi-cloud is the reality for most enterprises, but the term obscures significant variation in how companies actually use multiple clouds.

Types of multi-cloud deployment:

Primary + secondary (most common): Approximately 55 percent of multi-cloud enterprises run 80+ percent of workloads on a single provider and use a second provider for specific capabilities — GCP for BigQuery analytics, Azure for Microsoft integration, AWS for a specific managed service.
Workload-segmented: Approximately 25 percent of multi-cloud enterprises assign different workload categories to different providers — production on AWS, data analytics on GCP, collaboration on Azure. Little workload portability between providers.
True multi-cloud: Approximately 12 percent of multi-cloud enterprises run workloads that are designed to be portable across providers, typically using Kubernetes and cloud-agnostic tooling. This is the most architecturally complex and expensive approach.
Redundant multi-cloud: Approximately 8 percent run the same workloads on multiple providers for resilience. Almost exclusively seen in financial services and critical infrastructure.

Migration trends:

The most common cloud migration path in 2026 is from AWS to a combination of AWS and Azure (28 percent of migrations), followed by on-premise to AWS (22 percent), and on-premise to Azure (18 percent). GCP-to-AWS and AWS-to-GCP migrations are rare (under 5 percent each), suggesting that once companies choose a primary cloud, they rarely switch entirely.

For sales teams, migration events are high-value trigger events. A company migrating from on-premise to cloud needs security tools, monitoring, cost management, and professional services. A company adding a second cloud needs multi-cloud management, consistent security policies, and cross-cloud networking. Track these movements through job posting signals, technology change detection, and direct inquiry.

How B2B Sales Teams Use Cloud Provider Data

Cloud provider information is one of the most actionable pieces of technographic data available. Here are five specific ways sales teams use it:

1. Account qualification. If your product integrates natively with AWS, knowing that a prospect runs Azure tells you the deal will be more complex. Filter for accounts on your preferred cloud platform to focus on easier wins first.

2. Competitive intelligence. If a prospect runs a competitor’s product on AWS, and your product is also AWS-native, you have a displacement opportunity. If the competitor’s product runs on Azure and the prospect is AWS-first, the architectural mismatch is a selling point in your favor.

3. Personalized outreach. “I noticed your engineering team is running on GCP with BigQuery and dbt” is a vastly more compelling opening than “Companies like yours often struggle with data challenges.” Cloud provider data enables this specificity.

4. Total addressable market sizing. When planning territory coverage or market entry, knowing that 46 percent of SaaS companies run AWS lets you estimate your addressable market within specific segments. Combine this with StackWho data to get actual company counts rather than estimates.

5. Partner and channel strategy. Cloud marketplaces (AWS Marketplace, Azure Marketplace, GCP Marketplace) are increasingly important sales channels. Understanding which cloud your target customers use helps you prioritize marketplace listings and cloud partner relationships.

The Future: Cloud Repatriation and Hybrid

A small but notable counter-trend is cloud repatriation — companies moving some workloads back from public cloud to on-premise or colocation infrastructure. This trend is driven by:

Cost optimization: For stable, predictable workloads, dedicated hardware can be 30 to 50 percent cheaper than public cloud over a 3-year period.
Data sovereignty: Regulatory requirements in some jurisdictions are pushing companies to keep certain data on infrastructure they physically control.
GPU economics: AI training workloads on GPU clusters are expensive in the public cloud. Companies with sustained GPU needs are building or leasing dedicated infrastructure.

However, repatriation is a niche movement. Analysts estimate that less than 5 percent of public cloud workloads will move back to on-premise in any given year. The overwhelming direction of travel remains toward public cloud, with hybrid architectures (public cloud plus on-premise) serving specific compliance and cost optimization needs.

Using Cloud Data for Prospecting Today

Cloud provider data is immediately actionable. Whether you are building account lists, qualifying leads, or personalizing outreach, knowing AWS vs. Azure vs. GCP is one of the highest-signal technographic data points you can have.

Start by identifying which cloud provider is most relevant to your product and sales motion. Then use StackWho’s technology search to find companies running that provider, layer on additional technology and firmographic filters, and build a targeted prospecting list.

The companies in your market are not evenly distributed across cloud providers. The distribution follows the patterns outlined in this analysis — and understanding those patterns gives your sales team a structural advantage over competitors who are prospecting blindly.

Search for companies by cloud provider on StackWho and see how cloud data transforms your prospecting.