This paper examines the critical role of logistics within the Formula 1 World Championship, highlighting its function as a cornerstone of operational efficiency in one of the world’s most complex and globally dispersed sporting events. As of the 2025 season, the championship comprises 10 teams (with an 11th expected in 2026), each valued at over one billion USD, competing across 24 Grand Prix events on five continents. The logistical demands extend far beyond the racetrack, impacting adjacent industries including automotive manufacturing, electronics, rubber technology, track infrastructure, and global supply chains. The central problem addressed is the unprecedented scale and dynamism of F1 logistics particularly transportation logistics which requires moving approximately 30 tons of equipment per race across 20 countries and over 230,000 kilometers annually between March and December in the context of the recently developed budget cap which also includes logistical operations. This creates immense pressure on logistics departments and their partners to adapt to evolving global challenges such as geopolitical instability, environmental regulations, and supply chain disruptions. The objective of this study is to analyze the structure, challenges, and innovations within contemporary Formula 1 logistics network, with a focus on transportation and production-service logistics. Utilizing case-based analysis and industry data, the paper identifies key techniques employed by teams to optimize routing, reduce carbon footprint, and enhance operational resilience. The results indicate that Formula 1 logistics has evolved into a highly sophisticated, real-time adaptive system that sets benchmarks for other high-performance industries. Main conclusions underscore that Formula 1 logistics is not merely supportive but strategically integral to team performance and sustainability goals. This article contributes new insights into how elite motorsport logistics can serve as a model for innovation in global supply chain management, distinguishing itself from prior studies through its focus on real-world operational complexity and future-facing adaptation strategies.

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