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Unlock the value of your manufacturing data
Leading manufacturers 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
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
Why smart manufacturing?
Manufacturers face rising pressures from unplanned downtime, supply chain disruptions, increasing costs, and regulatory compliance. To stay competitive, they must improve efficiency, ensure quality, and accelerate time to market. Smart manufacturing leverages Industrial IoT (IIoT) technologies to enable real-time decision-making, predictive maintenance, automation, and resource optimization. By reducing downtime, enhancing agility, and ensuring compliance, manufacturers can lower costs, boost productivity, and deliver higher-quality products in a rapidly evolving marketplace.
Smart manufacturing by industry
HiveMQ drives business outcomes
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)
Improved product and service quality
Improved operational efficiency
Actionable insights into MTTR and MTBF
HiveMQ case studies in smart manufacturing
Ford Modernizes Global Manufacturing with Real-Time Data for Intelligent Operations
Learn how Ford uses HiveMQ to unify real-time manufacturing data across global plants, reducing costs, improving uptime, and accelerating predictive maintenance and AI initiatives.
Lilly Builds a Compliance-Driven Connectivity Solution with HiveMQ
Learn how Lilly leverages HiveMQ to streamline data integration for regulatory compliance and digital transformation.
Mercedes Benz Drives Smart Manufacturing with HiveMQ: Ensuring Reliability in Automotive Testing
Learn how HiveMQ enables uninterrupted manufacturing processes across 24 global factories, with 10,000 testing devices generating nearly 470 million messages per month. Download the case study to explore Mercedes Benz' success story in leveraging HiveMQ for regulatory compliance, product quality, and nonstop automotive manufacturing.
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
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 for real-time, event-driven data exchange across OT and IT systems.
Business critical reliability
Scalability to support growth
Maximum interoperability
Smart manufacturing typical deployment
HiveMQ's flexible and scalable architecture is built to address the unique challenges of smart manufacturing by seamlessly connecting data from edge devices to cloud and enterprise systems. It enables seamless edge data integration by converting industrial protocols into standardized MQTT for an interoperable IIoT infrastructure, provides an enterprise-grade MQTT backbone for scalable data streaming, unifies IT and OT systems with a single source of truth for reliable, real-time decision-making, and transforms data in flight to ensure only relevant, contextualized information reaches cloud and enterprise systems.
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Smart manufacturing demo
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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
Recommended reading on smart manufacturing
Foundational UNS patterns for agent-ready manufacturing
Learn the four Unified Namespace (UNS) design patterns that determine whether your manufacturing architecture is ready for AI agents or requires costly rework.
Building a scalable data foundation for real-time operational intelligence
A technical white paper on the four-stage Connect, Contextualize, Analyze, Act architecture for turning fragmented manufacturing data into real-time operational intelligence and a governed foundation for agentic AI.
A 12-week plan to make manufacturing data agent-ready using UNS
A 12-week plan turns siloed manufacturing data into an agent-ready Unified Namespace, delivering measurable ROI at every phase. See where to start today.
Securing agentic AI in OT authentication and authorization for factory agents
Explore how to secure agentic AI in OT with verifiable agent identity, least-privilege authorization, & broker-level command enforcement for factory agents.
MQTT vs REST vs message queues: Which data architecture is best for industrial AI?
Industrial AI requires continuous, reliable data streams but not every integration approach was designed for that. Compare MQTT, REST integrations and traditional message queues to understand which architecture scales best for AI workloads.
From data chaos to agent-ready order in smart manufacturing using UNS
Data chaos costs manufacturers 15-25% of operating budgets. See how reliable streaming, semantic context and governance make operational data agent-ready.