Case Study: Mercedes-AMG Petronas Formula One Team achieves rapid, data-driven car setup optimization with TIBCO Software

Mercedes-AMG Petronas Motorsport Setting Up for Success by Expecting the Unexpected

Mercedes-AMG Petronas Motorsport, a five-time Formula One World Champion team, faces the challenge of selecting the optimal car setup from billions of possible parameter combinations under rapidly changing track and weather conditions. The performance group must validate inputs, run millions of simulations, and turn driver feedback into actionable setup changes within tight practice windows while coordinating specialists across simulator, aerodynamics, dyno and track teams.

By adopting TIBCO Spotfire and TIBCO Data Science, the team can quickly filter, visualize and run predictive what‑if analyses on massive simulation sets, creating a consistent, shared view of the data for faster decision‑making. This sped up analysis cycles, improved setup confidence—helping drive a Friday-to‑Saturday setup change that contributed to a Singapore Grand Prix win—and enabled real‑time, data-driven iteration under race-weekend pressure.

Mercedes-AMG Petronas Formula One Team

Andrew Shovlin

Trackside Engineering Director