List of Azure Functions Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying 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 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 Azure Functions for Apps Development include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, SLB, formerly ChampionX, a United States based Professional Services organisation with 111000 employees and revenues of $36.29 billion, Signetic, a United States based Healthcare organisation with 23 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using 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 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Microsoft | Professional Services | 221000 | $243.0B | United States | Microsoft | Azure Functions | Apps Development | 2024 | n/a | In 2024, Microsoft implemented Azure Functions as part of the Microsoft Store Assistant, a solution in the Apps Development category that combines Azure OpenAI and Semantic Kernel to process chat change-feed events and perform post-conversation analysis. The Microsoft Store Assistant targets a global customer-service and CRM use case for the Microsoft Store. Azure Functions provides serverless event-driven compute in the implementation, hosting event handlers that ingest chat change-feed events, lightweight orchestration logic that routes conversations to multi-expert reasoning, and post-conversation analysis pipelines. Functional capabilities implemented include event processing, orchestration workflows, model invocation through Semantic Kernel, and analytics pipelines for conversation outcomes. Integrations explicitly cited in the implementation are Azure OpenAI and Semantic Kernel, with Azure Functions invoking Azure OpenAI models via Semantic Kernel to deliver multi-expert intelligence to chat flows. Operational coverage is the Microsoft Store global chat environment, and the solution is positioned to support CRM and customer-service workflows across store interactions. The deployment went live in October 2024 and includes operational monitoring and post-conversation analysis that feeds CRM workflows. Reported outcomes tied to the Microsoft Store Assistant include +142% revenue versus forecast and +31% conversion as of March 2025. | |
 |
Signetic | Healthcare | 23 | $2M | United States | Microsoft | Azure Functions | Apps Development | 2023 | n/a | In 2023, Signetic implemented Azure Functions as part of its Signetic for Pharmacies platform within an Apps Development architecture. The Azure Functions deployment complements Power Platform components, specifically Power Automate, and other Azure services to provide serverless compute for healthcare workflows. Implementation focused on using Azure Functions for background processing and automated reporting, handling event-driven tasks such as claims adjudication jobs, billing reconciliations, and schedule-triggered batch processes. Function apps were configured to be invoked by Power Automate flows and by Azure storage and messaging triggers, enabling asynchronous processing and decoupling real-time clinic operations from heavier compute tasks. Operational scope covered US healthcare operations including scheduling, claims, and billing workflows within the Signetic for Pharmacies solution, and Azure Functions usage is documented in the published architecture. The deployment centralized automated regulatory reporting pipelines so that formatted reports can be produced and delivered to agencies such as CDC, consolidating reporting logic in serverless functions. Governance and workflow orchestration were implemented through Power Automate while function code, configuration, and runtime telemetry remained managed in Azure, creating a clear separation between orchestration and compute layers. Outcomes described in the documentation include faster claims resolution, streamlined clinic workflows, and automated regulatory reporting achieved through the combined use of Power Automate and Azure Functions. | |
 |
SLB, formerly ChampionX | Professional Services | 111000 | $36.3B | United States | Microsoft | Azure Functions | Apps Development | 2024 | n/a | In 2024 SLB implemented Azure Functions as part of an Apps Development initiative to deliver AI powered project discovery and automated document processing for its globally distributed workforce. The implementation targeted process areas in knowledge discovery and finance and tax automation, and was executed at a global operational scope covering multiple business units. Azure Functions were configured as HTTP triggered serverless components that orchestrated AI matching and document processing workflows. The solution was developed alongside Power Apps for front end interactions, Power Automate for flow orchestration, and Dataverse for unified data storage, enabling Azure Functions to handle on demand processing, transformation, and asynchronous task execution. Integrations were explicit, with Azure Functions invoked from Power Automate flows and interacting with Dataverse records to support the AI powered project discovery and the automated document processing pipelines. Operational coverage included knowledge discovery teams and finance and tax teams across SLB, with the architecture designed to support distributed users calling HTTP endpoints to request processing and receive results. Governance focused on rapid iterative rollout, producing measurable operational outputs within 28 days, when the project discovery tool generated over 800 AI matches and the document automation work recovered multi million dollar export duty recoveries. Azure Functions and the surrounding Power Platform components were presented as the central Apps Development backbone for these use cases, enabling a tightened workflow between discovery, processing, and financial recovery activities. |
Buyer Intent: Companies Evaluating Azure Functions
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||