Case Study: Mercedes-AMG Petronas Formula One Team achieves real-time race-day optimization with TIBCO Software

A TIBCO Software Case Study

Preview of the Mercedes-AMG Petronas Formula One Team Case Study

Mercedes-AMG Petronas Motorsport Continuous Innovation & Collaboration to Create the Optimal Formula One™ Car

Mercedes-AMG Petronas Motorsport, five-time FIA Formula One World Champions, faced the challenge of extracting ever-smaller performance gains and ensuring component reliability under tighter 2019 FIA testing and component rules. With strict limits on wind‑tunnel runs, test speeds and engine/gearbox usage, the team needed faster, more precise ways to analyze large volumes of wind‑tunnel, dyno and on‑track data to shave off critical milliseconds while remaining compliant.

By adopting TIBCO Spotfire and TIBCO Streaming within an augmented‑intelligence, collaborative workflow, Mercedes fused tunnel, dyno and race data to accelerate learning, spot early signs of failure, and optimize race‑day setups in real time. The outcome was faster decision‑making, improved component reliability and fewer DNFs, producing measurable lap‑time gains that sustained championship‑level performance and delivered transferable analytics lessons for other industries.


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Mercedes-AMG Petronas Formula One Team

Mike Elliott

Technology Director


TIBCO Software

363 Case Studies