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Oracle Red Bull Racing Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Oracle Red Bull Racing and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 840 Oracle Red Bull Racing employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Oracle Red Bull Racing has purchased the following applications: Oracle Cloud ERP for ERP Financial in 2025, Workday Absence Management for Absence and Leave Management in 2021, Oracle Data Science Cloud for ML and Data Science Platforms in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Oracle Red Bull Racing is running and its propensity to invest more and deepen its relationship with Oracle , SAP , Workday or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Oracle Red Bull Racing revenues, which have grown to $302.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Oracle Red Bull Racing intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud ERP | ERP Financial | ERP Financial Management | n/a | 2025 | 2025 |
In 2025, Oracle Red Bull Racing implemented Oracle Cloud ERP as part of Oracle Fusion Cloud Applications Suite to centralize finance, HR, and customer experience data on a single integrated cloud platform. The deployment directly targets cost cap compliance needs and the elimination of manual spreadsheet-based financial planning to provide a unified view of local business data across operational functions.
The implementation configures Oracle Cloud ERP in the ERP Financial category alongside Oracle Fusion Cloud Enterprise Performance Management, Oracle Fusion Cloud Human Capital Management, and Oracle Fusion Cloud Customer Experience. Oracle Fusion Cloud Enterprise Performance Management is positioned to handle planning, budgeting, and resource allocation workflows, while Oracle Fusion Cloud Human Capital Management is configured to simplify HR processes, payroll, talent recruitment, and workforce analytics, and Oracle Fusion Cloud Customer Experience continues to drive fan personalization and loyalty program orchestration.
Architecturally the solution is delivered as a cloud-native, integrated Oracle Fusion Cloud platform that connects finance, HR, and CX datasets to enable cross-domain reporting and AI-enabled insights. The implementation plan includes adoption of Oracle Cloud AI services for predictive, generative, and agentic AI capabilities to automate financial planning activities and accelerate business insights. Oracle Consulting will manage the implementation and Oracle Customer Success Services will provide ongoing support and operational sustainment.
Governance and operational scope focus on finance, HR, and customer experience teams to standardize planning and budgeting processes and improve decision making within the team and its off-track operations. The program explicitly ties system use to supporting the fixed annual cost cap and to increasing productivity, reducing costs, and enhancing both employee and fan experience as articulated by the organization and vendor.
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Expense Management | ERP Financial Management |
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2018 | 2018 |
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Expense Management | ERP Financial Management |
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2021 | 2022 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workday | Legacy | Workday Absence Management | Absence and Leave Management | HCM | n/a | 2021 | 2022 |
In 2021, Oracle Red Bull Racing implemented Workday Absence Management. Workday Absence Management, in the Absence and Leave Management category, was deployed as part of a broader Workday footprint that included core HCM, Recruiting, Performance, Succession Planning and Expenses to support HR and talent workflows across a workforce of 840 employees.
Configuration emphasis for the Workday Absence Management implementation covered entitlement calculation, leave request and approval workflows, and employee self service for leave booking. The deployment leveraged standard Workday Absence Management functional workflows to configure absence plans, accrual rules, eligibility conditions and automated notifications, aligning business processes to manager and HR approval chains. The implementation included reporting and audit capabilities to support recurring HR initiatives such as performance management and annual compensation planning.
Integrations were supported with third party tools to enable time capture and workforce scheduling interoperability, reflecting the programmatic requirement to support external tool connectivity. The Absence and Leave Management instance was positioned to share master HR data with adjacent Workday modules, enabling coordinated transactional flows between absence, recruiting and performance processes. Operational coverage included the HR team as primary administrators and wider business stakeholders for approvals and self service.
Governance for the deployment centered on a staffed Workday Developer role responsible for system administration, configuration, development and project management. Ongoing operational controls included managing user access, system testing and troubleshooting, documentation of bespoke configurations, regular quality assurance and data audit processes, and execution of Workday biannual updates. Training for HR and business users was formalized to increase system effectiveness and ensure consistent use of Workday Absence Management.
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Core HR | HCM |
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2025 | 2025 |
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Payroll | HCM |
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2025 | 2025 |
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Performance and Goal Management | HCM |
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2021 | 2022 |
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Recruiting, Applicant Tracking System | HCM |
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2021 | 2021 |
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Succession and Leadership Planning | HCM |
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2021 | 2022 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Data Science Cloud | ML and Data Science Platforms | AI Development | n/a | 2022 | 2022 |
In 2022, Oracle Red Bull Racing deployed Oracle Data Science Cloud as a core component of its ML and Data Science Platforms strategy. The Oracle Data Science Cloud implementation was provisioned on Oracle Cloud Infrastructure to provide cloud native compute, scalable storage, and secure networking for data science workloads.
The implementation emphasized model development and model lifecycle management, including collaborative notebook environments, experiment tracking, reproducible training pipelines, and automated model deployment workflows. Data preparation and feature engineering were orchestrated through cloud data pipelines, while model governance was anchored in version control and controlled model registries to support repeatable productionization.
Oracle Data Science Cloud was integrated with Oracle Analytics Cloud to surface performance analytics and with the broader Oracle CX suite including Responsys, CrowdTwist, OCM Sauce Video, Unity, Eloqua, Infinity IQ, and Maxymiser to align customer and commercial datasets with engineering telemetry. The integration layer focused on consolidated data access and analytics ingestion, enabling data scientists to combine telemetry, marketing, and customer experience signals for cross-functional modeling.
Governance centered on role based access controls, model lineage, and staged promotion of models through development, validation, and production environments, with workflows adjusted to embed model review and reproducibility checkpoints in existing operational processes. The deployment supported data science, race engineering, performance analytics, and marketing functions within Oracle Red Bull Racing, aligning the Oracle Data Science Cloud application to operational decision making across those teams.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
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2022 | 2022 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Management | Content Management |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Campaign Management | CRM |
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2022 | 2022 |
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Customer Analytics | CRM |
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2022 | 2022 |
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Customer Data Platform | CRM |
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2022 | 2022 |
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Customer Experience | CRM |
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2025 | 2025 |
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Customer Loyalty | CRM |
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2022 | 2022 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2022 | 2022 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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EPM | EPM |
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2025 | 2025 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Computational Fluid Dynamics (CFD) | PLM and Engineering |
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2008 | 2008 |
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Process Simulation | PLM and Engineering |
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2016 | 2016 |
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Product Lifecycle Management | PLM and Engineering |
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2021 | 2021 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2002 | 2002 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Secure Email Gateways (SEGs) | CyberSecurity |
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2017 | 2017 |
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Secure Web Gateways (SWG) | CyberSecurity |
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2017 | 2017 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| Date | Company | Status | Vendor | Product | Category | Market |
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