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Unlock the value of your automotive manufacturing data

Leading automotive manufacturers and suppliers use HiveMQ to reduce downtime, improve efficiency, and make smarter, data-driven decisions with AI-ready data. HiveMQ provides the trusted edge-to-cloud IoT Data Streaming platform that effortlessly connects machines, systems, and applications across operational technology (OT) and information technology (IT).

With HiveMQ our customers achieved

$200M

Additional annual profits realized by increasing OEE by 20%

$179M

Additional annual revenues by reducing downtime by 30%

35M

Energy savings by reducing energy usage by over 20%

HiveMQ drives business outcomes

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:

Increase overall equipment effectiveness (OEE)

Customers maximize asset utilization and reduce downtime with reliable, low-latency machine data, enabling predictive maintenance and real-time production optimizations.

Improved product and service quality

Manufacturers eliminate defects and ensure consistency by applying real-time monitoring and automated alerts to detect and correct quality issues before they impact customers.

Improve operational efficiency

Companies streamline workflows and eliminate data silos by seamlessly integrating IT and OT systems, reducing inefficiencies and enabling intelligent automation.

Actionable insights into MTTR and MTBF

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

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Key trends in automotive manufacturing

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

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 machine learning

AI and ML are used to optimize manufacturing processes, enhance quality control, and predict equipment failures for informed decision-making and autonomous operations.

Data-driven factory (IIoT)

Using technology to create highly connected, data-driven environments allows manufacturers to optimize production processes, enhance efficiency, and reduce downtime.

Advanced robotics

Collaborative robots (cobots) and automated guided vehicles (AGVs) are used to improve precision, enhance efficiency, and streamline production processes.

Unified Namespace (UNS)

A Unified Namespace (UNS) is a modern architectural approach that collects data from across your industrial IoT (IIoT) systems, adds context, and structures it so that other systems and teams can easily access and understand. By creating a centralized, real-time source of truth, a UNS unlocks powerful business outcomes:

  • Get AI-ready with structured, contextual data
  • Accelerate digital initiatives by breaking down data silos
  • Optimize operations with real-time, cross-system visibility
  • Reduce integration costs with a scalable, standards-based architecture
HiveMQ Automotive Manufacturing MQTT Architecture

HiveMQ Platform for optimizing automotive manufacturing

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.

Why HiveMQ for automotive manufacturing?

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:

Business critical reliability

Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.

Scalability to support growth

Add any number of sites and scale to millions of connected devices seamlessly with a linear design for scalability

Flexible integration

Focus on your core business instead of using developer resources with OT-IT data integration into enterprise applications and infrastructure like Apache Kafka.

End-to-end security

Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.

Observable insights

Troubleshoot and keep all factory systems running as planned with tools and metrics for transparency and observability

Simple to deploy

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.

Key resources for automotive manufacturing

Knowledge-packed resources showcasing how MQTT, MQTT Sparkplug, and HiveMQ platform can transform Automotive Manufacturing.

Whitepaper: 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.

Datasheet: Automotive manufacturing

Discover the power of HiveMQ Platform for the automotive manufacturing industry in our datasheet. This guide provides insights into the application of HiveMQ Platform on automotive manufacturing and how it can revolutionize data management for optimized and efficient operations.

Webinar: Zero to OEE in an hour

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.

Article: Interoperability and Sparkplug

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.

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