Testing of automotive components is a crucial phase in the development cycle. Traditionally, local testing setups have been used to validate component performance, requiring suppliers to ship components to the OEM’s location. This approach introduces delays and increases costs due to logistics and issue resolution processes. To address these limitations, research is increasingly focusing on globally distributed testing infrastructures that enable remote testing of automotive components. Such a framework could eliminate the need for physical shipment, significantly reducing time and cost while integrating software-defined methodologies into the testing process. This thesis investigates the challenges of implementing a distributed testing framework, particularly in enabling communication between automotive components and the internet. The study evaluates various communication paradigms and explores the role of message brokers in addressing critical issues such as connectivity, latency, scalability, and synchronization. By analyzing the features of different brokers, this research aims to establish a foundation for integrating message brokers into distributed automotive testing infrastructures, contributing to a more efficient and scalable testing process. Keywords: Automotive Testing, Distributed Testing Infrastructure, Message Brokers, Remote Testing, Scalability, Latency, Synchronization, Communication Paradigms, Software-Defined Process, IoT in Automotive.