Introduction
Geely Automobile Group is a leading automotive brand with strong global R&D and manufacturing capabilities. To deliver on its mission of creating mobility experiences beyond expectations, Geely is investing heavily in connected vehicle technologies that support real-time data integration, intelligent services, and personalized user experiences.
Challenge
As vehicle connectivity and intelligence become standard across the automotive industry, Geely faced increasing pressure to build a future-ready platform capable of supporting:
- Millions of concurrent connections from infotainment systems
- High-throughput bidirectional data transmission across unstable networks
- Secure data communication and one-device-one-key authentication
- Real-time messaging with guaranteed delivery, even during disconnections
- Flexible data routing and integration for diverse downstream applications
- Scalable architecture to manage exploding data volumes across multiple brands
- Cost control and reduced complexity in platform operations and maintenance
These challenges required a robust, scalable infrastructure that could support both current needs and long-term growth.
Solution
To address these demands, Geely implemented a hybrid cloud architecture with EMQX Enterprise at its core, serving as the high-performance MQTT broker for its Telematics Service Provider (TSP) platform. EMQX ensures secure, reliable, and real-time connectivity between vehicles and cloud services, forming the foundation for Geely’s connected vehicle ecosystem.
In this architecture:
- Vehicles transmit telemetry data via MQTT from their Telematics Control Units (TCUs) to a cloud-based EMQX cluster. This data powers services such as emergency assistance, infotainment, autonomous driving, and FOTA updates.
- EMQX handles massive concurrency and throughput with a distributed, load-balanced architecture, supporting millions of secure connections across multiple Geely brands.
- EMQX ensures message reliability and continuity, using MQTT’s built-in heartbeat, QoS, and session persistence to guarantee delivery—even when vehicles temporarily go offline. Offline messages are stored at the access layer and delivered upon reconnection.
- EMQX’s rule engine enables real-time processing and routing of vehicle data into downstream systems such as Kafka, enabling integration with Geely’s broader big data infrastructure.
To manage and process the rapidly growing volume of vehicle data, Geely also adopted AutoMQ—a Kafka-compatible streaming platform that supports elastic scaling and cost-efficient data transport. TSP application data is forwarded from EMQX to the AutoMQ cluster and then into the Geely Data Management Platform (GDMP), which powers data ingestion, orchestration, quality monitoring, and analytics across departments such as R&D, manufacturing, and after-sales.
Result
By deploying EMQX as the backbone of its connected vehicle platform, Geely has achieved:
- Secure, high-concurrency vehicle connectivity across brands and platforms
- Reliable and real-time data delivery even in complex mobile network environments
- Flexible data processing and integration through a powerful rules engine
- Operational efficiency and scalability with seamless downstream routing into a cloud-native data lake
Combined with AutoMQ’s scalable streaming capabilities, this architecture empowers Geely to manage petabyte-scale connected vehicle data with ease—laying the foundation for its next-generation smart mobility strategy.
EMQX plays a pivotal role in enabling Geely to evolve from traditional automotive operations to an intelligent, data-driven enterprise—supporting innovation in smart manufacturing, intelligent driving, and global digital services.