List of Microsoft Azure Functions Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft Azure Functions 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 Functions for Apps Development 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 Functions for Apps Development include: Audi, a Germany based Automotive organisation with 88604 employees and revenues of $70.61 billion, ASDA, a United Kingdom based Retail organisation with 150000 employees and revenues of $28.74 billion, Relativity, a United States based Professional Services organisation with 2000 employees and revenues of $300.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Functions, 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 Functions 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
ASDA | Retail | 150000 | $28.7B | United Kingdom | Microsoft | Microsoft Azure Functions | Apps Development | 2021 | n/a | In 2021, ASDA implemented Microsoft Azure Functions to modernize its Scan & Go retail app on Azure. The work is classified under Apps Development and targeted retail checkout workflows across the United Kingdom, supporting more than 600 stores and over 1 million shoppers weekly. Microsoft Azure Functions was configured as an event driven serverless layer to handle device communication and real time checkout events. Functional capabilities implemented included event ingestion and processing, stateless compute for device-driven workflows, and automated scaling to accommodate peak footfall, with application instrumentation aligned to serverless operational models. Integrations were implemented across store networks and checkout systems to unify device signals and backend processes in retail and checkout operations across the United Kingdom. The deployment architecture emphasized event routing to Azure Functions and store level device connectivity, enabling centralized processing while preserving distributed store operations. Governance and delivery practices supported a high cadence of releases, with 230 production releases recorded in 2024, and the implementation materially reduced maintenance and operational overhead. Automatic scaling and function driven compute provided the operational elasticity required to sustain the Scan & Go application workload under variable shopper demand. | |
 |
Audi | Automotive | 88604 | $70.6B | Germany | Microsoft | Microsoft Azure Functions | Apps Development | 2025 | n/a | In 2025 Audi implemented Microsoft Azure Functions as part of an Azure AI Foundry architecture to deliver a Smart Assistant for HR and to stand up other enterprise chatbots in Germany. The deployment targeted HR and internal support workflows and was completed in a two week implementation cycle that prioritized rapid agent provisioning. Microsoft Azure Functions provided the serverless compute layer to host conversational agents and to orchestrate event driven workflows, using function triggers and bindings to connect conversational logic with downstream services. Implementation work explicitly configured secure connectors between Azure Key Vault and Azure Cosmos DB to manage secrets and persistent state for chat sessions and agent context. The integration points included Key Vault to Cosmos DB connectors within Audi's Azure AI Foundry, enabling reuse of event driven patterns for additional agents and faster rollout across other business functions. Operational scope focused on HR and internal support in Germany, with architectural patterns documented for multi agent expansion and standardized function templates to accelerate provisioning. Governance emphasized secure connector configuration and centralized secret management via Azure Key Vault, and the short two week implementation timeframe reduced HR operational load while enabling rapid expansion of additional agents across the enterprise. This implementation positions Microsoft Azure Functions within Audi's Apps Development practice as a scalable, event driven platform for conversational AI and internal support automation. | |
 |
Relativity | Professional Services | 2000 | $300M | United States | Microsoft | Microsoft Azure Functions | Apps Development | 2018 | n/a | In 2018, Relativity implemented Microsoft Azure Functions to build a serverless monitoring and reporting solution in the Apps Development category. The deployment was purpose built to assess the health of RelativityOne, Relativity's e-discovery SaaS platform, and to provide operational visibility for IT and operations teams in the United States. The Microsoft Azure Functions implementation used serverless function execution to centralize scheduled telemetry collection, event driven health checks, and consolidated reporting. Functional capabilities included automated health probes, alert generation, and report aggregation to support proactive detection and troubleshooting. The solution integrated directly with RelativityOne telemetry and platform endpoints to surface incidents and operational metrics to IT operations, with processing and orchestration handled by Azure Functions. Deployment structure emphasized lightweight serverless services to reduce engineering effort. Governance and rollout were focused on operational runbooks and alerting workflows to embed the new monitoring processes into IT operations. The serverless design shortened development cycles from months to days, improved proactive detection and troubleshooting, and increased operational visibility and uptime through Microsoft Azure Functions. |
Buyer Intent: Companies Evaluating Microsoft Azure Functions
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||