List of Oracle AI Data Platform Customers
Oracle
2300 Oracle Way,
Austin, 78741, TX,
United States
Austin, 78741, TX,
United States
1 737-867-1000
Professional Services
162000
$67.1B
Since 2010, our global team of researchers has been studying Oracle AI Data Platform 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 Oracle AI Data Platform for AI Model Deployment and Monitoring, AI Workflow Automation 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 Oracle AI Data Platform for AI Model Deployment and Monitoring, AI Workflow Automation include: Accenture, a Ireland based Professional Services organisation with 791000 employees and revenues of $64.90 billion, Marriott International, a United States based Leisure and Hospitality organisation with 418000 employees and revenues of $25.10 billion, Grupo Bimbo, a Mexico based Consumer Packaged Goods organisation with 146910 employees and revenues of $23.90 billion, easyJet, a United Kingdom based Transportation organisation with 16697 employees and revenues of $11.10 billion, RIU Hotels & Resorts, a Spain based Leisure and Hospitality organisation with 31270 employees and revenues of $2.45 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle AI Data Platform, 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 Oracle AI Data Platform 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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Accenture | Professional Services | 791000 | $64.9B | Ireland | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2026 | Accenture |
In 2025, Accenture deepened its alignment with Oracle by embedding Oracle AI Data Platform into Accenture AI Refinery, creating a more unified foundation for enterprise AI initiatives. Built on Oracle Cloud Infrastructure and accelerated by NVIDIA, the combined environment is positioned to support data management, analytics, and AI model operationalization at scale. This makes Oracle AI Data Platform a strategic layer within Accenture’s broader AI delivery approach, especially for organizations seeking to connect data pipelines, governance, and AI execution in a single cloud-based architecture.
The implementation narrative points to Oracle AI Data Platform being used as an end to end data and AI backbone rather than as a standalone analytics tool. Accenture appears to be leveraging the platform to help clients securely manage data, analyze it across enterprise environments, and operationalize AI use cases with stronger governance and faster deployment readiness. In Apps Run The World terms, this positions Oracle AI Data Platform within the AI Data Platform category as a core enabler of data orchestration, model deployment, trusted data governance, and scalable AI workflows across enterprise transformation programs.
The partnership also signals how Oracle is strengthening its role in enterprise AI infrastructure through large service and implementation ecosystems. Accenture’s reported three billion dollar AI investment, combined with the integration of Oracle’s platform capabilities into AI Refinery, suggests a go to market model where Oracle provides the underlying AI Data Platform and cloud architecture, while Accenture extends that foundation into client specific AI innovation programs. The stated value centers on faster time to value, future ready architecture, and the ability to move from AI use case design to measurable business execution with greater operational control.
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Clopay | Manufacturing | 2900 | $1.6B | United States | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2025 | n/a |
In 2025, Clopay deployed the Oracle AI Data Platform to operationalize machine learning across its manufacturing workflows. The deployment explicitly targets AI Model Deployment and Monitoring,AI Workflow Automation capabilities to provide centralized model lifecycle control and automated orchestration of inference and retraining processes.
The Oracle AI Data Platform implementation was configured with a model registry, containerized inference serving, a feature store, experiment tracking, and end-to-end monitoring and alerting. AI Workflow Automation features were used to build pipeline orchestration, scheduled retraining, automated promotion gates, and workflow-driven approvals to standardize model productionization.
Architecturally the rollout uses cloud-native container orchestration and CI CD pipelines for packaging, testing, and promoting models through staging to production, with API endpoints for real time and batch scoring. The platform centralizes data preprocessing and feature engineering pipelines and instruments observability for model performance, drift detection, and logging to support operational governance.
Governance was implemented with role based access control, immutable audit trails, and automated approval workflows to align data science, IT, and manufacturing operations. Operational scope focuses on manufacturing operations, quality engineering, and supply chain analytics, and Clopay Oracle AI Data Platform AI Model Deployment and Monitoring,AI Workflow Automation is positioned to support model lifecycle management and workflow orchestration across those business functions.
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easyJet | Transportation | 16697 | $11.1B | United Kingdom | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2026 | n/a |
In 2026 easyJet deployed Oracle AI Data Platform to centralize AI model orchestration and operationalize analytics across finance and planning functions. The deployment is positioned alongside Oracle Fusion Cloud ERP and EPM to eliminate manual data gathering and validation, automate downstream processes, and support data driven decision making for future network and financial planning.
The Oracle AI Data Platform implementation delivers core capabilities aligned to AI Model Deployment and Monitoring,AI Workflow Automation including automated data ingestion and validation pipelines, a model registry and versioning, CI CD style model promotion workflows, instrumentation for model observability, and scheduled retraining orchestration. Oracle AI Data Platform is configured to manage model lifecycle steps from feature engineering and training to production scoring, with workflow automation used to sequence data preparation, model evaluation, and deployment gates.
Integration architecture centers on near real time and batch feeds from Oracle Fusion Cloud ERP and EPM into the Oracle AI Data Platform, enabling canonical financial and operational datasets to feed modeling and scoring pipelines. Operational coverage targets finance, planning and analytics teams responsible for forecasting and scenario planning, with models serving planning, revenue management and operational decision support use cases and scoring outputs written back into EPM reporting stores.
Governance was implemented through role based access, model approval workflows and automated validation checks to enforce data quality before deployment, while monitoring and alerting capture model drift and scoring anomalies. Outcomes explicitly stated by easyJet include reduced manual work in gathering and validating data, increased process automation, and improved ability to make data driven decisions to inform future plans.
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Grupo Bimbo | Consumer Packaged Goods | 146910 | $23.9B | Mexico | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2025 | n/a |
In 2025, Grupo Bimbo implemented Oracle AI Data Platform as the data unification layer within its Oracle AI Factory adoption. The Oracle AI Data Platform is being used to support AI Model Deployment and Monitoring,AI Workflow Automation across operations and supply chain, aligning data consolidation and model operationalization with business processes.
The deployment focuses on centralized data ingestion, persistent feature engineering, model lifecycle management and runtime model monitoring, paired with workflow orchestration to operationalize decision logic. Oracle AI Data Platform hosts data pipelines, deployment and monitoring capabilities, and automated workflow triggers that move models from training into production scoring and feedback loops, providing the technical foundation for AI Model Deployment and Monitoring,AI Workflow Automation.
Operational coverage spans global operations and supply chain functions, where Grupo Bimbo reports standardized global operations and reduced process complexity. Governance and process change are anchored in the platform, with centralized model deployment practices, standardized reporting and automated cross-functional workflows to unify operational data and drive consistent execution.
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Marriott International | Leisure and Hospitality | 418000 | $25.1B | United States | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2025 | n/a |
In 2025 Marriott International implemented Oracle AI Data Platform as part of its adoption of Oracle AI Factory. The deployment targets embedding generative and agentic capabilities into Fusion Cloud HCM for HR and performance management across Marriott International's global operations.
Oracle AI Data Platform operates alongside Oracle AI Agent Studio within AI Factory workflows, delivering core capabilities aligned to AI Model Deployment and Monitoring,AI Workflow Automation. Configuration emphasis is on model lifecycle management, runtime orchestration, and monitoring pipelines that enable agent execution and automated HR workflow orchestration for performance and goal processes.
Integrations are explicitly with Fusion Cloud HCM, where Oracle AI Data Platform surfaces agentic assistants and automated workflow triggers into HR and talent management processes. The operational scope centers on HR and performance management across Marriott International's global operations, with data exchange and inference endpoints connecting HCM records to deployed models.
Governance was adjusted to incorporate ongoing model monitoring and workflow oversight using the Oracle AI Data Platform monitoring features, supporting more consistent goal setting and reduced process complexity as reported by Marriott. Oracle AI Data Platform provides the deployment and monitoring layer while Oracle AI Agent Studio provides agent design, together enabling Marriott International to operationalize generative workflows within HR and performance management.
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Leisure and Hospitality | 31270 | $2.5B | Spain | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2026 | n/a |
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Communications | 600 | $80M | Saudi Arabia | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2025 | n/a |
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Education | 5822 | $983M | Ireland | Oracle | Oracle AI Data Platform | AI Model Deployment and Monitoring,AI Workflow Automation | 2025 | Vertice |
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FAQ - APPS RUN THE WORLD Oracle AI Data Platform Coverage
Oracle AI Data Platform is a AI Model Deployment and Monitoring, AI Workflow Automation solution from Oracle.
Companies worldwide use Oracle AI Data Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Accenture, Marriott International, Grupo Bimbo, easyJet and RIU Hotels & Resorts are recorded users of
Oracle AI Data Platform for AI Model Deployment and Monitoring, AI Workflow Automation.
Companies using Oracle AI Data Platform are most concentrated in Professional Services, Leisure and Hospitality and Consumer Packaged Goods, with adoption spanning over 21 industries.
Companies using Oracle AI Data Platform are most concentrated in Ireland, United States and Mexico, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle AI Data Platform across Americas, EMEA, and APAC.
Companies using Oracle AI Data Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 12.5%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 62.5%.
Customers of Oracle AI Data Platform 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 Oracle AI Data Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Model Deployment and Monitoring, AI Workflow Automation.