List of Microsoft Azure IoT Edge Customers
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Since 2010, our global team of researchers has been studying Microsoft Azure IoT Edge 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 IoT Edge for IoT Platform 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 IoT Edge for IoT Platform include: 3M, a United States based Manufacturing organisation with 61500 employees and revenues of $24.58 billion, Rockwell Automation, a United States based Professional Services organisation with 26000 employees and revenues of $8.34 billion, Sandvik Turkey, a Turkey based Manufacturing organisation with 200 employees and revenues of $60.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure IoT Edge, 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 IoT Edge 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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3M | Manufacturing | 61500 | $24.6B | United States | Microsoft | Microsoft Azure IoT Edge | IoT Platform | 2020 | n/a |
In 2020, 3M implemented Microsoft Azure IoT Edge at a U.S. manufacturing plant to move analytics closer to production equipment. The deployment used Microsoft Azure IoT Edge as the IoT Platform and explicitly deployed Azure SQL Edge through the Azure IoT Edge runtime to host local analytics and persistent edge storage.
The implementation hosted containerized machine learning models and analytics workloads at the edge, running inference locally for predictive maintenance and anomaly detection. Azure SQL Edge provided local SQL based storage and query capabilities to support model scoring and time series preprocessing. Configuration prioritized edge modules and local data processing pipelines to minimize round trip cloud latency.
Operational scope was concentrated on manufacturing operations at the U.S. plant, where local decisioning supported maintenance workflows and anomaly alerts. Integrations documented in the deployment centered on Azure SQL Edge deployed through Microsoft Azure IoT Edge to enable local analytics and model execution. The move to edge analytics improved latency and data processing times by moving analytics to the edge.
Governance and process changes emphasized embedding edge analytics into operational workflows for maintenance teams and routing aggregated telemetry upstream for centralized monitoring and model refresh processes. The architecture centralized inference on the plant floor while retaining cloud connectivity for model lifecycle management and aggregated analytics.
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Rockwell Automation | Professional Services | 26000 | $8.3B | United States | Microsoft | Microsoft Azure IoT Edge | IoT Platform | 2018 | n/a |
In 2018, Rockwell Automation partnered with Microsoft to deploy Microsoft Azure IoT Edge as an IoT Platform for industrial operations, establishing an edge to cloud approach to contextualize and manage shop floor data. The effort targeted OT and IT convergence for customers in the United States and global sites, aligning Rockwell FactoryTalk and edge gateway capabilities with Azure IoT Edge to enable module level data contextualization and execution at the edge.
Microsoft Azure IoT Edge was configured to host containerized edge modules for local telemetry ingestion, protocol adaptation, and near real time analytics, leveraging the IoT Platform category capabilities for module lifecycle and runtime management. Implementation work focused on edge runtime configuration, module deployment pipelines, and local device management to accelerate development and deployment of edge workloads.
Integration work centered on module level connections between FactoryTalk and Microsoft Azure IoT Edge to surface PLC and shop floor signals into contextualized datasets, and to forward contextualized data to cloud services for higher level analytics and management. Operational coverage emphasized machine cell and plant level deployments with OT teams and engineering groups responsible for local operations and cloud teams managing fleet level telemetry.
Governance and process changes addressed joint OT and IT workflows for module lifecycle, security policy enforcement, and deployment orchestration, with FactoryTalk providing on device contextualization and Azure IoT Edge handling module orchestration and edge execution. The implementation established a repeatable pattern for packaging and delivering edge workloads while aligning industrial operations processes with cloud based management practices.
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Sandvik Turkey | Manufacturing | 200 | $60M | Turkey | Microsoft | Microsoft Azure IoT Edge | IoT Platform | 2019 | n/a |
In 2019, Sandvik Turkey deployed Microsoft Azure IoT Edge to run edge analytics and AI for manufacturing, using Azure edge and cloud capabilities to enable local inference and telemetry capture. The project is categorized under IoT Platform and targeted industrial shop floor operations in Sweden, with implementation scope focused on improving predictive capabilities and operational productivity for engineering and operator teams.
Microsoft Azure IoT Edge was configured to host containerized analytics and AI modules at the device edge, enabling local data processing, anomaly detection, and model inference close to shop floor equipment. The implementation leveraged the Azure IoT Edge runtime for module lifecycle management, telemetry routing, and orchestrated deployment of analytics modules to edge devices, consistent with IoT Platform functional workflows.
The edge deployment was integrated with related Azure cloud services for centralized model training, telemetry aggregation, and historical analytics, enabling a hybrid edge cloud architecture. Operational coverage emphasized manufacturing operations and engineering workflows, with telemetry and edge insights feeding cloud-based analytics pipelines for predictive capability enhancement.
Governance centered on shop floor operational workflows and model lifecycle control, with staged rollout across industrial sites to validate edge analytics and predictive models. Sandvik reported about a 40% increase in engineering and operator productivity following the Azure IoT Edge implementation, reflecting the deployment impact on manufacturing operations.
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