List of AVEVA Predictive Analytics Customers
AVEVA
High Cross Madingley Road,
Cambridge, CB3 0HB,
United Kingdom
Cambridge, CB3 0HB,
United Kingdom
44 12 2344-5000
Professional Services
6500
$2.0B
Since 2010, our global team of researchers has been studying AVEVA Predictive Analytics 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 AVEVA Predictive Analytics for Asset Performance Management 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 AVEVA Predictive Analytics for Asset Performance Management include: Petronas, a Malaysia based Oil, Gas and Chemicals organisation with 52157 employees and revenues of $78.90 billion, ADNOC, a United Arab Emirates based Oil, Gas and Chemicals organisation with 65000 employees and revenues of $24.20 billion, Omya, a Switzerland based Manufacturing organisation with 9000 employees and revenues of $3.00 billion, Aramco Chemicals Company, a Saudi Arabia based Retail organisation with 13 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using AVEVA Predictive Analytics, 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 AVEVA Predictive Analytics 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 | Insight Source |
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ADNOC | Oil, Gas and Chemicals | 65000 | $24.2B | United Arab Emirates | AVEVA Group | AVEVA Predictive Analytics | Asset Performance Management | 2019 | n/a | In 2019 ADNOC implemented AVEVA Predictive Analytics as part of a targeted Asset Performance Management initiative to improve asset reliability across its operations. The deployment was embedded within ADNOC’s Panorama Digital Command Centre, positioning AVEVA Predictive Analytics alongside AVEVA System Platform and InTouch OMI to provide a unified, real time operational view for decision makers. The implementation combined AVEVA Predictive Analytics with AVEVA System Platform and InTouch OMI as the display and orchestration layer, and included AVEVA’s Unified Supply Chain Management to align planning with asset performance. Functional capabilities implemented include predictive condition monitoring to reduce unscheduled downtime, real time data visualization across operational dashboards, and centralized monthly operating plan management to synchronize production and logistics. Integration work focused on connecting the AVEVA stack to ADNOC’s ERP, business and IT applications to aggregate telemetry and business signals into the Panorama command centre. Operational coverage extended across the enterprise value chain, instrumenting and monitoring more than 10 million tags and surfacing insights on 120 plus dashboards to support operations, maintenance and supply chain decision making. Governance and process changes emphasized cross functional collaboration and centralized planning, with the Panorama Unified Operations Centre used to align the operations value chain and empower strategic decision making. AVEVA Predictive Analytics and the Unified Supply Chain Management solution were used to operationalize workflows for asset reliability and monthly plan execution, enabling tighter control of production cost drivers. Results reported by ADNOC include savings estimated between $60 million and $100 million through optimized operations, and improved visibility across operations driven by consolidated monitoring and analytics. AVEVA Predictive Analytics served as the Asset Performance Management engine within ADNOC’s broader Industrial IoT and analytics architecture to reduce equipment failures and support enterprise wide operational agility. | |
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Aramco Chemicals Company | Retail | 13 | $2M | Saudi Arabia | AVEVA Group | AVEVA Predictive Analytics | Asset Performance Management | 2021 | n/a | In 2021, Aramco Chemicals Company implemented AVEVA Predictive Analytics as part of an Asset Performance Management initiative embedded within its Advanced Process Solutions program. The deployment targeted process operations and asset reliability use cases in Saudi Arabia and was executed as a multi year program that began in 2021 with live capabilities rolling out through 2023. AVEVA Predictive Analytics was configured to provide predictive monitoring, model based anomaly detection, condition based monitoring, and real time analytics to support advanced process control and real time optimization workflows. Functional elements implemented included predictive model development and scoring, alarm and event logic, and operational visualization for process and reliability teams. Integration work was performed at the APS program level to combine predictive monitoring outputs with APC and real time optimization control layers, enabling proactive fault detection and continuous operational tuning. Rollout governance was coordinated through the Advanced Process Solutions program with phased site deployments through 2023, impacting plant operations and reliability engineering functions and targeting improved plant performance and proactive fault detection. | |
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Omya | Manufacturing | 9000 | $3.0B | Switzerland | AVEVA Group | AVEVA Predictive Analytics | Asset Performance Management | 2022 | n/a | In 2022, Omya implemented AVEVA Predictive Analytics as its Asset Performance Management platform. The initial deployment established a centralized, global predictive maintenance and reliability capability intended to support mining and minerals operations in Switzerland and across Omya’s global site footprint, with a global reliability centre monitoring approximately 200 sites. The programme timeline began in the early 2020s with broader live rollout around 2023, positioning AVEVA Predictive Analytics as the primary analytics engine for asset health and prognostics. The AVEVA Predictive Analytics implementation was configured to support asset reliability workflows typical of Asset Performance Management, including condition monitoring, anomaly detection, and prognostic modeling using machine learning. Configuration work focused on standardized model templates, scheduled model retraining, and event scoring to surface early indicators of equipment degradation. These functional capabilities were applied across critical rotating and process equipment classes to enable earlier failure detection. Operational coverage centered on a centralized reliability centre that consolidated telemetry and exception alerts from more than 200 sites, driving coordinated responses from maintenance, reliability engineering, and operations teams. The deployment enabled automated alerting and prioritized failure signals to feed local maintenance planning and spare parts readiness, while providing a single pane of glass for global reliability oversight. Integrations with local site data streams and historian systems were implemented as part of data ingestion and model feeding activities. Governance shifted toward centralized reliability management with standardized modeling practices, a central team owning model validation, and local teams executing corrective work. The programme delivered earlier detection of equipment issues up to three months in advance and supported significant avoidance of unplanned downtime as reported by Omya. AVEVA Predictive Analytics remains the focal Asset Performance Management application for omya’s predictive maintenance and reliability operations. | |
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Oil, Gas and Chemicals | 52157 | $78.9B | Malaysia | AVEVA Group | AVEVA Predictive Analytics | Asset Performance Management | 2019 | n/a |
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Buyer Intent: Companies Evaluating AVEVA Predictive Analytics
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating AVEVA Predictive Analytics. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating AVEVA Predictive Analytics for Asset Performance Management include:
- Tunku Abdul Rahman University Of Management And Technology, a Malaysia based Education organization with 3000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD AVEVA Predictive Analytics Coverage
AVEVA Predictive Analytics is a Asset Performance Management solution from AVEVA Group.
Companies worldwide use AVEVA Predictive Analytics, from small firms to large enterprises across 21+ industries.
Organizations such as Petronas, ADNOC, Omya and Aramco Chemicals Company are recorded users of
AVEVA Predictive Analytics for Asset Performance Management.
Companies using AVEVA Predictive Analytics are most concentrated in Oil, Gas and Chemicals, Manufacturing and Retail, with adoption spanning over 21 industries.
Companies using AVEVA Predictive Analytics are most concentrated in Malaysia, United Arab Emirates and Switzerland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of AVEVA Predictive Analytics across Americas, EMEA, and APAC.
Companies using AVEVA Predictive Analytics range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 50%.
Customers of AVEVA Predictive Analytics include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified AVEVA Predictive Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Asset Performance Management.