Case Study: Mercedes-AMG Petronas Formula One Team achieves millisecond performance gains and optimized car setups with TIBCO Software

Digital Twins in F1™ Racing Throw Down Big Gains for Mercedes-AMG Petronas Motorsport

Mercedes‑AMG Petronas Motorsport relies on high‑fidelity simulators to optimize car setup and strategy for Lewis Hamilton and Valtteri Bottas, but faces enormous data and time pressures: thousands of channels, over a billion possible configuration combinations, limited on‑track testing, and tight race‑week turnaround. The team needed a faster, clearer way to filter noise, validate inputs, and collaborate across trackside and remote specialists to find the optimal setup for each circuit and driver.

They implemented a digital‑twin workflow using TIBCO Spotfire, TIBCO Data Science and MATLAB to unify, visualize and model simulation data in real time. The solution sped analysis from hours to minutes, produced clearer metrics and predictive insights, enabled instant cross‑team validation, and helped the team choose faster, more reliable setups—delivering measurable performance gains and a competitive edge on race day.

Mercedes-AMG Petronas Formula One Team

Ivo Marlais

Performance Director