List of Aws Iot Core Customers
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Since 2010, our global team of researchers has been studying Aws Iot Core 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 Aws Iot Core 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 Aws Iot Core for IoT Platform include: Volkswagen Germany, a Germany based Automotive organisation with 293338 employees and revenues of $351.27 billion, iRobot, a United States based Manufacturing organisation with 1058 employees and revenues of $890.0 million, Signify Netherlands, a Netherlands based Manufacturing organisation with 2300 employees and revenues of $650.0 million and many others.
Contact us if you need a completed and verified list of companies using Aws Iot Core, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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iRobot | Manufacturing | 1058 | $890M | United States | Amazon Web Services (AWS) | Aws Iot Core | IoT Platform | 2015 | n/a | In 2015, iRobot implemented Aws Iot Core as its IoT Platform to support the Roomba device fleet backend and the iRobot HOME app. The rollout is built on a serverless AWS architecture that centralizes device provisioning and fleet management for consumer connected devices. Aws Iot Core is used to provision and manage device identities at scale, ingest telemetry and route messages to backend services, and orchestrate fleet operations such as remote command delivery and staged feature rollouts. The implementation emphasizes device provisioning, device management, telemetry ingestion, and messaging routing as core functional capabilities consistent with an IoT Platform. Operationally the deployment covers the United States consumer smart home use case and is sized to manage millions of connected robots while absorbing traffic spikes of up to 20x. The architecture improved scalability and reliability for peak events and accelerated feature delivery, and it centralized device lifecycle controls to support controlled rollouts and operational resilience for product and engineering teams. | |
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Signify Netherlands | Manufacturing | 2300 | $650M | Netherlands | Amazon Web Services (AWS) | Aws Iot Core | IoT Platform | 2022 | n/a | In 2022, Signify Netherlands deployed Aws Iot Core as its IoT Platform to add camera and video capabilities for Philips Hue Secure. The implementation targeted a smart home security and video device use case serving the Netherlands and global market, and used Aws Iot Core together with Amazon Kinesis Video Streams to support live and recorded video ingestion. This program aligned product engineering and device operations with the existing Hue ecosystem to preserve user experience continuity across Hue products. Aws Iot Core was configured to provide device provisioning, secure device connectivity, and telemetry ingestion, while Amazon Kinesis Video Streams handled video stream ingestion and storage. The architecture emphasized cloud based ingestion, event routing, and stream buffering to support live video workflows and recorded playback scenarios. Implementation work referenced standard IoT Platform capabilities such as device authentication, message routing, and stream lifecycle management to enable camera and video device functionality within the Hue product family. Integration points included the existing Hue ecosystem to enable device lifecycle management, user account continuity, and product feature integration for Philips Hue Secure. Operational coverage spanned product engineering, device operations, and security teams at Signify Netherlands with supporting global distribution for the Hue line. Governance focused on device onboarding processes, cloud stream management, and security controls tied to release cycles, and the overall program accelerated time to market for Hue Secure video capabilities, delivering the product to market in approximately 18 months. | |
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Volkswagen Germany | Automotive | 293338 | $351.3B | Germany | Amazon Web Services (AWS) | Aws Iot Core | IoT Platform | 2019 | n/a | In 2019, Volkswagen Germany engaged AWS to build the Volkswagen Industrial Cloud using AWS IoT Core. The engagement positioned AWS IoT Core as the central IoT Platform for the industrial initiative, establishing a single connectivity fabric to unify machine telemetry and operational data across manufacturing sites. The implementation combined AWS IoT Core with Greengrass, IoT Analytics, and SiteWise to provide device connectivity, edge compute, telemetry ingestion, time series asset modeling, and manufacturing analytics capabilities. AWS IoT Core provided device identity and secure message brokering while Greengrass enabled local processing and orchestration at plant edges, and IoT Analytics and SiteWise supported aggregation, asset models, and analytics-ready telemetry. Operational coverage explicitly targeted machines, plants, and systems across 120+ factories, spanning Germany and global regions, with a focus on manufacturing and supply chain operations. The Volkswagen Industrial Cloud integrated site-level OT data flows into a centralized industrial cloud, enabling downstream analytics and production monitoring across multiple factory sites and production lines. Governance and rollout emphasized a centralized IoT Platform approach to standardize connectivity, asset modeling, and analytics workflows across plants, enabling consistent data models and operational controls. The program targeted improving productivity and reducing factory and supply chain costs, with public statements noting ambitions of approximately 30 percent productivity gains and significant cost savings. |
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