Architecting Scalable IoT TelematicsPlatforms for Connected Vehicles

The rapid rise of the Internet of Things (IoT) is transforming the automotive industry, positioning thevehicle as an intelligent, connected node capable of generating and transmitting high-velocity streams of telematicsdata. Designing platforms to ingest, process, and analyze this data at scale presents unique architectural challenges.This article proposes a modular, multi-tiered IoT telematics platform architecture capable of handling millions ofconnected vehicles. Drawing on distributed messaging, scalable storage, and real-time analytics, the frameworkbalances robustness with flexibility and enables industry deployment of safety, efficiency, and customer-centricservices. Case study analyses highlight ingestion throughput exceeding 100,000 messages per second, latency reductionto below two seconds, and resilience under fault conditions. Lessons learned demonstrate how connected vehicletelematics can progress from experimental pilots to commercially viable deployments.