List of Aws Iot Sitewise Customers
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Since 2010, our global team of researchers has been studying Aws Iot Sitewise 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 Sitewise 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 Sitewise for IoT Platform include: Toyota, a Japan based Automotive organisation with 383853 employees and revenues of $323.16 billion, Bristol Myers Squibb, a United States based Life Sciences organisation with 34100 employees and revenues of $48.30 billion, Coca-Cola Icecek Anonim Sirketi, a Turkey based Consumer Packaged Goods organisation with 9606 employees and revenues of $2.02 billion and many others.
Contact us if you need a completed and verified list of companies using Aws Iot Sitewise, 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 Aws Iot Sitewise 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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Bristol Myers Squibb | Life Sciences | 34100 | $48.3B | United States | Amazon Web Services (AWS) | Aws Iot Sitewise | IoT Platform | 2023 | n/a |
In 2023, Bristol Myers Squibb implemented Aws Iot Sitewise as an IoT Platform to ingest on-premises historian data and establish a consolidated industrial data foundation for manufacturing analytics and product-batch traceability across sites. The deployment centralized OT time-series alongside contextual manufacturing data to support cross-site analytics and traceability workflows. The Aws Iot Sitewise implementation leveraged asset modeling and time-series ingestion capabilities to normalize historian streams, enabling consistent asset and batch context for downstream analytics. Data routing and storage were configured to persist raw and aggregated time-series into Amazon S3 and to expose federated query surfaces via Amazon Athena, allowing correlation of OT time-series with ERP and other contextual datasets. Operational coverage focused on manufacturing analytics and product-batch traceability across multiple production sites, while the integration with Amazon S3 and Amazon Athena opened the door to predictive asset maintenance use cases. Governance adjustments concentrated on centralizing industrial data models and standardizing asset-context mappings to support analytics consistency and traceability requirements.
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Coca-Cola Icecek Anonim Sirketi | Consumer Packaged Goods | 9606 | $2.0B | Turkey | Amazon Web Services (AWS) | Aws Iot Sitewise | IoT Platform | 2021 | Amazon Web Services |
In 2021, Coca-Cola Icecek Anonim Sirketi implemented Aws Iot Sitewise as an IoT Platform to create a digital twin for its clean-in-place sanitation process across bottling plants in Turkey and the broader CCI region. The implementation targeted sanitation operations and process engineering, with a focus on operational visibility and sustainability metrics.
The deployment combined Aws Iot Sitewise in the cloud with AWS IoT Greengrass at the edge to enable local data ingestion, asset modeling, time series collection and digital twin representation of CIP equipment. Functional capabilities implemented included asset hierarchy modeling, continuous telemetry capture, and analytics-ready operational metrics to support root cause analysis and process optimization.
Delivery was executed with AWS Professional Services as the systems integrator, using Greengrass edge nodes at plant level to capture sensor data and feed SiteWise for centralized monitoring and analytics. Operational scope included multiple bottling sites in Turkey and extended across the CCI region, affecting sanitation teams, plant operations and process engineering functions.
The project identified more than 30 improvement opportunities and delivered estimated outcomes within months of deployment, including approximately 20% annual energy savings, approximately 9% annual water savings and 34 process days saved. Coca-Cola Icecek Anonim Sirketi Aws Iot Sitewise IoT Platform established a governance model for ongoing asset modeling and continuous improvement, coordinated between plant operations and the central process engineering group.
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Toyota | Automotive | 383853 | $323.2B | Japan | Amazon Web Services (AWS) | Aws Iot Sitewise | IoT Platform | 2023 | n/a |
In 2023, Toyota deployed Aws Iot Sitewise from Amazon Web Services as an IoT Platform to underpin a predictive maintenance initiative across Toyota Motor North America. The program targeted CNC machines and shop-floor equipment and focused on detecting anomalies and scheduling repairs proactively to support maintenance and operations teams.
The Aws Iot Sitewise implementation emphasized asset modeling and real-time telemetry collection, with configuration of data pipelines and rule-based processing to normalize sensor streams from shop-floor assets. Aws Iot Sitewise was integrated with Amazon Lookout for Equipment to provide machine learning driven anomaly detection, enabling automated alerts and prescriptive maintenance signals into existing workflows.
Integrations centered on Amazon Lookout for Equipment and the Aws Iot Sitewise data model, linking equipment telemetry to maintenance ticketing and scheduling processes under Toyota Motor North America. Operational coverage was explicitly shop-floor and CNC equipment, affecting maintenance, operations, and reliability engineering functions within the North America program.
Governance and rollout were managed at the Toyota Motor North America program level with changes to maintenance workflows to incorporate anomaly-driven scheduling and repair prioritization. The deployment introduced standardized asset definitions and operational procedures for handling detected anomalies and dispatching repairs across participating sites.
The program improved operational availability by about 10 percentage points from approximately 78 to 82 percent up to about 92 percent, prevented dozens of incidents and reduced unplanned downtime hours as reported by the North America initiative.
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