List of Microsoft Azure Storage Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft Azure Storage customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Microsoft Azure Storage for Servers, Storage and Networking from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Microsoft Azure Storage for Servers, Storage and Networking include: CarMax, a United States based Retail organisation with 30000 employees and revenues of $26.54 billion, GE HealthCare, a United States based Healthcare organisation with 53000 employees and revenues of $19.60 billion, OpenAI, a United States based Professional Services organisation with 5328 employees and revenues of $3.70 billion and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Storage, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Microsoft Azure Storage customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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CarMax | Retail | 30000 | $26.5B | United States | Microsoft | Microsoft Azure Storage | Servers, Storage and Networking | 2019 | n/a |
In 2019, CarMax implemented Microsoft Azure Storage to move large image assets and other data to cloud object storage for its online retail platform in the United States. The deployment addressed Servers, Storage and Networking needs for scalable image storage and resilient, geo-replicated delivery of vehicle imagery.
Microsoft Azure Storage was provisioned with Azure Blob Storage as the object store to host image assets, configured for geo-redundant replication and virtually unlimited capacity. The implementation separated ingestion, processing, and content delivery responsibilities, enabling application teams to access images via Blob Storage APIs and to manage lifecycle through tiering and container organization. Storage account configuration emphasized redundancy, access control, and container-level segmentation to support operational scalability.
Operational scope covered CarMax online retail image workloads and developer operations across U.S. sites, with governance focused on storage account policies, replication settings, and access governance to ensure consistent delivery. Reported outcomes included effectively limitless storage, geo-replication for resilient delivery, and improved development velocity achieved through centralized Microsoft Azure Storage management.
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GE HealthCare | Healthcare | 53000 | $19.6B | United States | Microsoft | Microsoft Azure Storage | Servers, Storage and Networking | 2021 | n/a |
In 2021, GE HealthCare implemented Microsoft Azure Storage to consolidate medical imaging archives across its healthcare operations in the United States. The deployment used Microsoft Azure Storage, in the Servers, Storage and Networking category, to support diagnostic imaging services and to meet long term regulatory retention requirements.
The implementation centered on Azure Blob Storage as the object storage tier, leveraging flexible storage tiers and lifecycle management to accommodate active diagnostic images and long term retention. The configuration employed standard storage capabilities including encryption at rest, role based access controls, and policy driven lifecycle transitions to colder tiers, organizing storage for scalable capacity and regulatory data governance. Architecture emphasized object storage for imaging archives, with operational patterns aligned to high throughput ingest and durable long term retention.
Operational scope covered GE HealthCare imaging services within the United States, consolidating archives used by diagnostic imaging workflows and retention processes. Integrations focused on imaging service workflows and archive ingestion pipelines without naming external systems. The Microsoft case study reports Azure Blob Storage provided flexible storage and improved scalability for GE HealthCare's imaging services.
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OpenAI | Professional Services | 5328 | $3.7B | United States | Microsoft | Microsoft Azure Storage | Servers, Storage and Networking | 2024 | n/a |
In 2024, OpenAI implemented Microsoft Azure Storage within its Servers, Storage and Networking portfolio to support large scale AI model training and data persistence. Microsoft Azure Storage and Azure Blob Storage scaled accounts are identified as the primary storage layer deployed to meet capacity and throughput requirements for training workflows.
The implementation centers on Azure Blob Storage scaled accounts to store training data and to write checkpoints for large scale AI model training. The deployment is described as providing exabyte scale capacity and very high throughput in the United States, with scaled accounts used to absorb intense ingest and checkpoint write patterns common to distributed model training.
Operationally the Microsoft Azure Storage deployment is integrated into OpenAI training pipelines and data engineering workflows, supporting engineering and research teams across the United States. The Microsoft case study highlights collaboration with Microsoft on the Azure Blob Storage scaled accounts to improve storage efficiency, disaster recovery, and training throughput, and these capabilities are embedded into pipeline orchestration and storage governance for model checkpointing and dataset storage.
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Buyer Intent: Companies Evaluating Microsoft Azure Storage
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