Oracle and Red Bull Racing Partner to Advance F1 Analytics

The News: Red Bull Racing, the four-time Formula 1 World Champion team, has chosen Oracle as its official cloud infrastructure partner.

Red Bull will leverage the machine learning and data analytics capabilities of Oracle Cloud Infrastructure (OCI) to optimize the way data is used across its business; from on-track activities to putting more information in the hands of the Team’s global fan base. The OCI-powered capabilities will help the team sharpen its already formidable competitive edge. Read the full release in Oracle’s Newsroom.

Analyst Take: We have seen an aggressive investment by professional sporting organizations to apply technology, especially analytics, to drive improved performance. This new announcement from Red Bull Racing Honda speaks to how Formula One racing teams seek to apply analytics to materially improve performance in search of performance optimization across every aspect of the racing lifecycle. 

While the announcement itself serves as a validation point for Oracle Cloud Infrastructure (OCI), which has seen a solid run of growth over the past several quarters, the decision was made based upon a set of criteria from Red Bull Racing Honda. The team set out for a technology partner that could manage the converging requirements for performance, scale, and security to enable the utilization of advanced data science and analytics. The selection of Oracle indeed represents a significant win for Oracle, as several technology players have the offering mix to have supported Red Bull’s needs. 

Off the track, the Red Bull Racing Honda partnership with Oracle is also deepening, which makes sense given Red Bull’s aggressive approach to customer engagement. This extends from the company’s well-known use of “brand studio” to build fan engagement and extends into the specific sporting teams, including racing. I believe this drives the team’s decision to leverage Oracle’s broad portfolio of Customer Experience (CX) applications, including Oracle Unity Customer Data Platform, Oracle CrowdTwist Loyalty and Engagement, and Oracle Responsys Campaign Management. With these tools, the Red Bull Racing Honda team can provide fans greater access to statistics and metrics to drive deeper engagement. This has been even more important throughout the pandemic where sporting events haven’t had the historically important live element.  

Ultimately, I believe wins like this have dual value for Oracle. Right now, the company is diligently working to position itself as a more prominent player in the cloud. From business applications to Exadata, the company sees growth in the cloud but has still had to fight to earn cloud props due to its legacy in database and prem. While it is only one customer win, it is a notable one in a space with significant applications for real-time analytics and the advanced use of AI/ML and Cloud Capabilities–with the broad deployment of CX tools as a further indication of Oracle’s broadening solutions and competitiveness. 

Futurum Research provides industry research and analysis. These columns are for educational purposes only and should not be considered in any way investment advice.

Read more analysis from Futurum Research:

Qualcomm, AMD and Gigabyte Break the PetaOperations Per Second Barrier for AI Inferencing

Oracle Autonomous Data Warehouse: Ready to Power More Self-Driving Cloud Data Warehouse Adoption

$100 Billion High-Speed Broadband Bill Reintroduced by Rep James Clyburn Aimed at Closing the Digital Divide

Image: Oracle

Author Information

Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.

From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.

A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.

An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.

Related Insights
Will GPT-5.5 Redefine Enterprise AI, or Hit the Limits of Trust and Control?
April 25, 2026

Will GPT-5.5 Redefine Enterprise AI, or Hit the Limits of Trust and Control?

OpenAI's GPT-5.5 launches as a transformative enterprise AI platform, yet adoption barriers around trust, reliability, and data privacy remain critical concerns for 78% of organizations planning AI budget increases....
GPT-5.5 Raises the Stakes: Can OpenAI Maintain Its Lead as Enterprise AI Matures?
April 25, 2026

GPT-5.5 Raises the Stakes: Can OpenAI Maintain Its Lead as Enterprise AI Matures?

OpenAI's GPT-5.5 launch marks a critical moment in enterprise AI adoption. With 68% of organizations at advanced GenAI stages, competition from Microsoft and Google intensifies as buyers prioritize reliability and...
Going Beyond the Data Graveyard With Google’s Agentic Data Cloud as the New Semantic Core for Agentic AI
April 24, 2026

Going Beyond the Data Graveyard With Google’s Agentic Data Cloud as the New Semantic Core for Agentic AI

Brad Shimmin, Analyst at Futurum, shares his insights on Google's new Agentic Data Cloud. See how this shift from passive storage to active intelligence helps organizations ditch manual data plumbing...
Can Large Language Models Be Trusted in Real Clinical Conversations?
April 24, 2026

Can Large Language Models Be Trusted in Real Clinical Conversations?

A new analysis benchmarks large language models on real clinician conversations, revealing critical safety insights as healthcare organizations rapidly adopt generative AI—findings that will shape enterprise strategies and regulatory approaches....
ChatGPT Images 2.0 Raises the Stakes in Enterprise AI—But Will Reliability Keep Pace?
April 23, 2026

ChatGPT Images 2.0 Raises the Stakes in Enterprise AI—But Will Reliability Keep Pace?

OpenAI's ChatGPT Images 2.0 intensifies competition with Microsoft and Google, but enterprise adoption hinges on reliability. Futurum Group's Decision Maker Survey reveals 55% cite AI agent hallucination management as the...

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.