Additional Annual Profits Realized by Increasing OEE by 20%
Additional Annual Revenues by Reducing Downtime by 30%
Energy Savings by Reducing Energy Usage by over 20%
HiveMQ helps automotive manufacturers unlock the power of their industrial data by enabling real-time, reliable, and scalable communication between machines, sensors, and enterprise systems. By providing a robust MQTT-based data foundation, HiveMQ drives key business outcomes:
Customers maximize asset utilization and reduce downtime with reliable, low-latency machine data, enabling predictive maintenance and real-time production optimizations.
Manufacturers eliminate defects and ensure consistency by applying real-time monitoring and automated alerts to detect and correct quality issues before they impact customers.
Companies streamline workflows and eliminate data silos by seamlessly integrating IT and OT systems, reducing inefficiencies and enabling intelligent automation.
Customers predict failures and optimize maintenance strategies by tracking Mean Time to Repair (MTTR) and Mean Time Between Failures (MTBF) in real time, reducing costly downtime.
HiveMQ has delivered the stability and reliability that we require for our system. We have been using HiveMQ for 4 years and the broker has not gone down. It is rock solid, completely reliable. This is very important since we can’t stop the factory assembly line.
Marius Hertfelder
/Mercedes Benz
For automotive manufacturers, staying ahead of the curve is the key to maintaining competitiveness and maximizing productivity. Manufacturers are leveraging advanced technologies to drive innovation and streamline production.
Unified Namespace (UNS) is a concept for managing industrial data with a hub and spoke model that serves as a single source of truth for a business's current state and events.
AI and ML are used to optimize manufacturing processes, enhance quality control, and predict equipment failures for informed decision-making and autonomous operations.
Using technology to create highly connected, data-driven environments allows manufacturers to optimize production processes, enhance efficiency, and reduce downtime.
Collaborative robots (cobots) and automated guided vehicles (AGVs) are used to improve precision, enhance efficiency, and streamline production processes.
The Unified Namespace (UNS) is the central data architecture that enables automotive manufacturers to break down silos between production lines, systems, and global facilities. By using MQTT and HiveMQ as the backbone, the UNS delivers real-time, structured, and contextualized data that flows bi-directionally—from the shop floor to enterprise systems—enabling AI-driven optimization, predictive maintenance, and seamless system integration across the value chain.
To optimize operations in the automotive industry, the primary focus of digital transformation lies in data collection and movement. Manufacturing machines, processes, and applications generate valuable data captured and stored using key ingestion technologies. This data is transferred from operational technology (OT) to information technology (IT) systems and stored in data centers or enterprise clouds. This data-rich environment facilitates advanced initiatives like machine learning, AI, adaptive control, and digital twins, ultimately driving operational efficiency and improvement.
HiveMQ solves the challenges of data collection and movement in manufacturing by adding a reliable, scalable and secure data abstraction layer between OT and IT systems that enables heterogeneous machines and processes to work together seamlessly even in constrained environments. The key benefits are:
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Add any number of sites and scale to millions of connected devices seamlessly with a linear design for scalability
Focus on your core business instead of using developer resources with OT-IT data integration into enterprise applications and infrastructure like Apache Kafka.
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Troubleshoot and keep all factory systems running as planned with tools and metrics for transparency and observability
Achieve rapid time-to-value with a platform that is flexible enough to deploy on-premise, in any cloud, or via the fully-managed and feature-rich HiveMQ Cloud offering.
Knowledge-packed resources showcasing how MQTT, MQTT Sparkplug, and HiveMQ platform can transform Automotive Manufacturing.
Learn about the trends in optimizing global operations and supply chain for automotive manufacturing in this whitepaper. Gain insights into how MQTT addresses connectivity challenges, how Sparkplug adds additional data context, and how IIoT technologies are helping automotive manufacturers digitize their operations.
Discover the power of HiveMQ's MQTT solutions for the automotive manufacturing industry in our datasheet. This guide provides insights into the application of MQTT technology in automotive manufacturing, and how it can revolutionize data management for optimized and efficient operations.
Watch this webinar to discover how to quickly and effectively implement, measure, and improve Overall Equipment Efficiency (OEE) to get performance improvements of 10% to 30%. Understand and improve OEE to identify areas of improvement, reduce downtime, increase throughput, and ultimately enhance overall productivity.
Read more about how MQTT Sparkplug solves IIoT interoperability challenges by adding context to MQTT, decoupling data consumers and producers, ensuring immediate discoverability, and establishing a single source of truth.
Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.