HiveMQ provides a secure, reliable foundation for seamless data flow between OT and IT systems. Leading manufacturers use HiveMQ to reduce downtime, improve efficiency, and make smarter, data-driven decisions.
With HiveMQ our Customers Achieved
20M
Savings Per Year by Reducing Energy Usage by 20%
$77M
Savings by Reducing Production Downtime by 40%
$10M
Savings Due to a 25% Improvement in Workforce Efficiency
Smart Manufacturing by Industry
HiveMQ is the enterprise MQTT platform that lays a powerful foundation for Industry 4.0. It solves data connectivity and interoperability challenges across a variety of manufacturing industries, including automotive, chemical, food and beverage, and pharmaceutical.
HiveMQ helps manufacturers unlock the power of their industrial data by enabling real-time, reliable, and scalable communication between machines, sensors, and enterprise systems.
Increased 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.
Improved 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.
Technical Benefits of HiveMQ for Smart Manufacturing
Efficient data collection, communication, and control are key for smart manufacturing. HiveMQ provides a scalable, secure, and reliable data layer that ensures real-time, event-driven data exchange across OT and IT systems.
Real Time
Enables instant data exchange between machines, sensors, and enterprise systems.
Event-Driven Architecture
Transmits data only when changes occur, improving efficiency and decision-making.
Simple to Deploy
Deploy on-premise, in any cloud, or as a fully managed service with ease.
Edge Optimized
Processes and routes data at the edge, reducing bandwidth and enabling real-time insights.
Reliable
Ensures zero message loss with redundant clustering for mission-critical operations.
Secure
Seamlessly expands to millions of devices to support industrial growth.
Low Bandwidth
Optimizes bandwidth with an efficient, publish/subscribe model for constrained environments.
Observable
Provides real-time monitoring with built-in tools for visibility and troubleshooting.
Scalable
Expands seamlessly to millions of devices with a high-performance, linear architecture.
Smart Manufacturing Typical Deployment
Smart Manufacturing Demo
Unified Namespace (UNS)
Unified Namespace (UNS) is an innovative approach that gathers data from various industrial IoT (IIoT) systems, adds context, and transforms it into a format that other systems can easily understand.
For manufacturers, staying ahead of the curve is the key to maintaining competitiveness and maximizing productivity. Manufacturers are leveraging advanced technologies like these to drive innovation and streamline production:
Unified Namespace
A data fabric approach, such as the Unified Namespace, is the central hub for real-time industrial data, ensuring seamless communication between systems. This digital transformation ensures all assets and processes have access to a single source of truth, helping manufacturers optimize workflows and achieve greater operational visibility.
AI and Machine Learning
AI and robotic process automation (RPA) transform manufacturing operations by automating repetitive tasks, enhancing compliance through improved precision, and optimizing resource allocation. These technologies enable lean manufacturing by cutting down unnecessary processes and driving cost-effective, high-quality production.
Data-Driven Factory (IIoT)
The rise of Industrial IoT (IIoT) has created fully connected, data-driven factories. Using automation and real-time analytics, manufacturers can optimize production, manage workflows more efficiently, and enhance decision-making. Adopting a UNS ensures seamless data flow, empowering more innovative and agile processes.
Digital Twins
Digital twins are virtual models of physical assets or systems that allow manufacturers to simulate and optimize production processes in a virtual environment. By analyzing real-time data and running simulations, manufacturers can predict and resolve issues before they occur, significantly enhancing efficiency and reducing costs.
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