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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

$100M

Additional Annual Profits Realized by Increasing OEE by 20%

$50M

Additional Annual Revenues by Reducing Downtime by 30%

2M

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 Efficiency (OEE)

Increase Overall Equipment Efficiency (OEE)

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

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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

Improve Operational Efficiency

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

Dashboard

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.

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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.

preventative maintenance

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.

Improve Operational Efficiency with MQTT Broker

Data-Driven Factory (IIoT)

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

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Advanced Robotics

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

Automotive Unified Namespace (UNS)

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.

UNS Automotive Manufacturing

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HiveMQ MQTT 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.

HiveMQ Automotive Manufacturing MQTT Architecture

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

Business Critical Reliability

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

Scalability to Support Growth

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

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

End-to-End Security

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

Observable Insights

Observable Insights

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

Simple-to-Deploy

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.

Get started with HiveMQ today

Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.

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