List of OSIsoft PI System Customers
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Since 2010, our global team of researchers has been studying OSIsoft PI System 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 OSIsoft PI System 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 OSIsoft PI System for IoT Platform include: BAE Systems, a United Kingdom based Aerospace and Defense organisation with 111400 employees and revenues of $26.31 billion, CSL, a Australia based Life Sciences organisation with 32000 employees and revenues of $14.80 billion, Uc Davis, a United States based Education organisation with 26295 employees and revenues of $7.93 billion, Cemex, a Mexico based Manufacturing organisation with 46063 employees and revenues of $1.56 billion, Fingrid, a Finland based Utilities organisation with 428 employees and revenues of $1.20 billion and many others.
Contact us if you need a completed and verified list of companies using OSIsoft PI System, 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 OSIsoft PI System 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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BAE Systems | Aerospace and Defense | 111400 | $26.3B | United Kingdom | AVEVA Group | OSIsoft PI System | IoT Platform | 2020 | n/a |
In 2020 BAE Systems deployed the OSIsoft PI System to support its SEA-CORES program, a ship energy monitoring initiative created to help the Royal Navy achieve an 18% reduction in fuel consumption and emissions by 2021. The OSIsoft PI System, categorized as an IoT Platform, functions as the program's data-abstraction layer and primary time series repository for sensor and environmental telemetry.
SEA-CORES integrates multiple analytical modules, beginning with an energy-efficiency module and expanding to include weather routing, vibration monitoring, hull condition assessment, drag estimation, and stress and strain analysis. These modules produce operational outputs such as most economical speed profiles, fuel used per nautical mile by sea state, engine-level fuel consumption across configurations, and fuel endurance tradeoff readouts, enabling detailed evaluation of tradeoffs between fuel efficiency and equipment wear.
Architecturally the implementation captures onboard sensor feeds and environmental data into a centrally managed OSIsoft PI System instance, normalizes telemetry, and provides both onboard and shore-side analytics and visualization. The program is a multidisciplinary public-private collaboration that included partners James Fisher & Sons for a trial vessel, the University of Southampton for maritime expertise, and Furgo for weather and remote positioning data.
Governance and operational workflows were adjusted to route SEA-CORES outputs to ship crews and offshore operators, creating decision support processes for route optimization, maintenance timing, and speed management so operators can assess the business case of operational choices. BAE Systems validated the approach in field testing and planned broader deployment of the SEA-CORES software across military and commercial fleets worldwide.
Field results reported fuel cost reductions between 5% and 20%, with illustrative annual savings of between £35 million and £140 million for a 25-vessel fleet spending £700 million on fuel. One vessel trial produced a counterintuitive finding where data indicated higher speed delivered better overall efficiency, demonstrating the role of OSIsoft PI System driven analytics in surfacing complex operational tradeoffs.
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Cemex | Manufacturing | 46063 | $1.6B | Mexico | AVEVA Group | OSIsoft PI System | IoT Platform | 2010 | n/a |
In 2010, CEMEX implemented the OSIsoft PI System as an IoT Platform. The OSIsoft PI System has been in use at CEMEX for more than 20 years, evolving from simple, standalone PI System installations in cement manufacturing facilities to the foundation of the company’s cement production management system.
CEMEX centralized operational data across 70 sites in 21 countries, moving from isolated installations to a companywide data centralization architecture. The deployment established a centralized operational data store to deliver operations data to personnel across functions, enabling global access so users can perform analysis and benchmarking without relying exclusively on power users or analysts.
Functional capabilities emphasized in the implementation include continuous time series capture, historian capabilities, real time visualization, and reporting workflows aligned to production management and operations planning. These capabilities support self service analysis by engineers, planners, and operations teams and enable cross site benchmarking within the cement production management context.
Governance and process changes accompanied the technical rollout, with CEMEX shifting analytic consumption toward business users and establishing global access patterns so end users can produce their own benchmarks and reports, as stated by Rodrigo Quintero Operations Model and Planning Manager at CEMEX. The OSIsoft PI System remains the enterprise IoT Platform underpinning CEMEX’s operational data democratization and production management use cases.
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CSL | Life Sciences | 32000 | $14.8B | Australia | AVEVA Group | OSIsoft PI System | IoT Platform | 2018 | n/a |
In 2018 CSL implemented the OSIsoft PI System as its industrial time series platform. The deployment was carried out within Operations Technology OT by the Manufacturing Data Systems team based at Broadmeadows Melbourne, and the project aligned the OSIsoft PI System to the company IoT Platform strategy for manufacturing process data collection and reporting.
The OSIsoft PI System was configured as the site data historian and production reporting backbone, providing time series collection, contextualization and analytical data services for commissioning, start up and ongoing production support. Configuration work emphasized historian feeds, production reporting pipelines and visualization services, together with data management controls and instrumentation of manufacturing process variables consistent with OSIsoft PI product capabilities. Integration work included structured interfaces to SQL databases and required coordination with IT infrastructure, network and database teams to secure reliable data flows and storage.
Operational coverage centered on the Broadmeadows execution systems team under the Regional Manufacturing Data Systems Lead APAC, with implementation activities coordinated with Manufacturing Operations, Validation, QA and Engineering. Governance and rollout followed project lifecycle and validation practices, incorporating cGMP-aware validation workflows, production support processes and best practices for data management and visualization to increase site data historian usage for new projects and existing value streams.
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Fingrid | Utilities | 428 | $1.2B | Finland | AVEVA Group | OSIsoft PI System | IoT Platform | 2005 | n/a |
In 2005 Fingrid implemented the OSIsoft PI System as an IoT Platform to centralize measurement and operational data for Finland's transmission grid. The OSIsoft PI System, supplied by AVEVA Group, became the data backbone for a network that spans about 14,600 kilometers of transmission lines and nearly 120 substations, a grid that carries roughly 77 percent of Finland's electricity and generates more than 4 million measurement samples daily.
Fingrid runs two production PI Systems and a test environment, reflecting a tiered deployment structure. One production PI System is a 200,000-tag, high availability installation used for SCADA, power quality monitoring, and broad operational telemetry, the second is a dedicated 1,000-tag system for phasor measurement unit PMU data which stores about 4.3 million samples per day and continuously processes hundreds of signals. The deployment leverages PI ProcessBook and PI Vision for visualization, and the PI System supplies live data streams that feed MathWorks MATLAB for custom algorithms and data mining.
The PI System footprint expanded through staged capability additions, including condition monitoring added in 2009, a separate PMU measurement system in 2010, a WebAPI interface introduced in 2018, and IoT Portal development in 2019. These integrations extend PI System data to external analytic workflows and web access, enabling programmatic access via WebAPI and portal-level consumption for operations and planning teams. The architecture therefore supports both near real time visualization and downstream analytic tooling.
Operationally the OSIsoft PI System supports asset management, system monitoring, fault processing, power system analysis, and planning across Fingrid's transmission operations. Process automation replaced manual, time consuming analysis tasks, enabling automatic fault processing and broader use of measurement data by engineering and operations teams. Governance for the environment includes separate production instances and a test environment to isolate PMU processing from broader SCADA and power quality feeds.
According to Antti-Juhani Nikkila, specialist at Fingrid, automating the data retrieval and reporting process shortened response time after a fault from hours to minutes. Fingrid reports that the PI System has detected anomalies and errors in power system performance that would have been missed without the system, a benefit the company notes is difficult to quantify in monetary terms given the potential severity of power system disturbances.
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Uc Davis | Education | 26295 | $7.9B | United States | AVEVA Group | OSIsoft PI System | IoT Platform | 2014 | n/a |
In 2014 UC Davis expanded deployment of the OSIsoft PI System as its IoT Platform to accelerate campus energy management and support the university’s carbon neutrality objectives. The implementation targeted a campus footprint of more than 1,000 buildings and 11.3 million square feet, with primary focus on the three main energy vectors, steam heat, chilled water, and electricity, and it became a strategic tool for the Active Commissioning Enterprise program.
The OSIsoft PI System implementation centered on real-time data collection, baselining, and visualization, using PI Vision dashboards to unify previously siloed plant and building operational data. Key functional capabilities implemented include delta-T monitoring for chilled water systems, combined visualizations of chilled water flow and tank storage, electricity rate correlation with chiller usage, and PI Notifications for anomaly alerts. Engineers also developed automated scripts that reference schedule data and Wi-Fi traffic as occupancy signals to adjust building control system setpoints and run-time.
Operational integrations consolidated building-level controls and central plant systems into a single operational view, tying the chilled water 5-million gallon storage tank, chillers, and electrical load data into coordinated dispatch decisions. The deployment serves building managers, plant operators, campus facilities programs, and academic users via public dashboards such as the Campus Energy Education Dashboard and tools like Thermoostat, enabling operational use, coursework, research projects, and student internships.
Governance was framed through the Active Commissioning Enterprise funding loop, which captures project savings to finance subsequent initiatives, and through notification and scripting workflows that shift building control procedures toward occupancy-responsive schedules. Explicit outcomes reported include $15,000 in savings to date from the chilled water optimization project with an expected $150,000 annual saving, and scenario modeling using PI data that supports a planned switch to lower-temperature hot water with an expected 62 percent reduction in campus gas use, while deferred maintenance on the existing steam system remained a planning consideration.
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Buyer Intent: Companies Evaluating OSIsoft PI System
- Beveridge & Diamond, a United States based Professional Services organization with 200 Employees
- ConnectPoint Poland, a Poland based Professional Services company with 75 Employees
- NTPC, a India based Utilities organization with 15786 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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