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Savings Per Year by Reducing Energy Usage by 20%
Savings by Reducing Production Downtime by 40%
Savings Due to a 25% Improvement in Workforce Efficiency
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.
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
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.
Enables instant data exchange between machines, sensors, and enterprise systems.
Transmits data only when changes occur, improving efficiency and decision-making.
Deploy on-premise, in any cloud, or as a fully managed service with ease.
Processes and routes data at the edge, reducing bandwidth and enabling real-time insights.
Ensures zero message loss with redundant clustering for mission-critical operations.
Seamlessly expands to millions of devices to support industrial growth.
Optimizes bandwidth with an efficient, publish/subscribe model for constrained environments.
Provides real-time monitoring with built-in tools for visibility and troubleshooting.
Expands seamlessly to millions of devices with a high-performance, linear architecture.
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:
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 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.
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 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.
Uncover 2025's top IIoT trends, challenges, and strategies. Download the report to explore AI, MQTT, UNS, and solutions driving industrial transformation!
Discover Deloitte's 2025 manufacturing trends, highlighting Unified Namespace (UNS) and strong data foundations as keys to AI adoption and digital transformation.
HiveMQ & Workerbase partner to revolutionize smart manufacturing with real-time data & tools, boosting efficiency, decision-making, & workforce empowerment
Join our UNS Panel Discussion with Partner Mayker. In this interactive panel, we will share insights and best practice tips for UNS deployments. Get the chance to see real-world use cases from companies in Automotive, Food & Bev, and other industries.
Learn how HiveMQ MQTT platform and Snowflake together can enable manufacturers to harness the full potential of their IIoT data for operational insights.
Explore how HiveMQ's Sparkplug Module removes data bottlenecks, enforces compliance, & streamlines real-time IIoT data handling for a robust data pipeline.
Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.