Challenges in Implementing Gaia-X for Industrial Applications

Abstract The Gaia-X framework promises secure and decentralized data exchange for industrial applications, but its implementation presents significant challenges. This article synthesizes insights from three use cases addressing digital product passports, predictive maintenance, and real-time manufacturing monitoring. Each demonstrates the potential of Gaia-X in enabling interoperability, data-driven decision-making, and enhanced efficiency. However, critical challenges such as ensuring data standardization, balancing privacy with accessibility, and scalability across diverse industrial environments remain. This article outlines key areas for improvement and future research by analyzing these challenges, aiming to advance Gaia-X adoption and foster robust industrial ecosystems.