Real operational outcomes at enterprise scale
See what manufacturers who use HiveMQ can achieve when teams can trust and act on operational data in real time.
Saved by increasing factory uptime from 99.99% to 99.999%
Saved annually by reducing energy use 20%
Saved through centralized remote monitoring across 513 plants
To launch a new use case, down from six months
You can't scale transformation on data you can't access, understand or trust
Data remains trapped in silos
Operational data is isolated across machines, systems and sites, preventing a complete, real-time view across the enterprise.
Data lacks consistent context
Different structures and definitions make operational data difficult for people and AI to understand, trust and use consistently.
Every initiative starts over
Teams rebuild connections, context and governance for every use case instead of advancing from a shared foundation.
Improvements don't scale
Pilots stall, adoption varies by site, and proven operational improvements never become repeatable patterns across the enterprise.
From the edge to real-time decisions, in one platform
Connectivity platforms stop at moving data. DataOps and analytics platforms depend on a real-time foundation they don't provide. HiveMQ is the industrial data platform for agentic AI that brings the full journey together, from reliable data streaming to trusted intelligence and governed action.
Connect
Create a real-time backbone across OT, IT, edge and cloud, so each new data consumer becomes a subscription, not another integration project.
Helps improve: data availability, engineering time per use case and site-onboarding time.
Contextualize
Define models and governance once and enforce them at the edge, so the same asset means the same thing at every site.
Helps improve: data-preparation time, site consistency and replication rate.
Analyze
Calculate trusted KPIs near the source and surface deviations while the line is still running, so teams can act before downtime grows.
Helps improve: time-to-number, MTTR, scrap and first-pass yield.
Act
Put trusted intelligence into governed, human-supervised workflows, so expert decisions can be repeated safely across shifts and sites.
Helps improve: response time, use cases in production and knowledge retention.
Define the architecture once, enforce context and governance at the edge, and reuse it across lines and sites, so site two costs a fraction of site one and site twenty becomes routine.
HiveMQ facilitates real-time communication, allowing for immediate fault detection, calculation of key performance indicators (KPIs), and instantaneous alert generation directly back to the plant floor. This centralized approach streamlines data flow and operational oversight.
Gopalakrishnan Rajaram
Solution Architect - Industrial Systems at Ford, Ford
Proven where industrial operations can't afford to stop
Concurrent connections on a single deployment
In production in mission-critical operations
Uptime for mission-critical operations
and SOC 2 Type II certified
Build on the MQTT foundation your operations already trust.
See how industrial leaders turn data into outcomes
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Ford Modernizes Global Manufacturing with Real-Time Data for Intelligent Operations
"HiveMQ facilitates real-time communication, allowing for immediate fault detection, calculation of key performance indicators (KPIs), and instantaneous alert generation directly back to the plant floor. This centralized approach streamlines data flow and operational oversight."
Gopalakrishnan Rajaram
Solution Architect - Industrial Systems at Ford
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Lilly Builds a Compliance-Driven Connectivity Solution with HiveMQ
"The solution we built with HiveMQ is critical for maintaining compliance, supporting real-time decision-making, and enabling operational efficiencies across Lilly's manufacturing plants."
Executive Director
Eli Lilly and Company
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Mercedes Benz Drives Smart Manufacturing with HiveMQ: Ensuring Reliability in Automotive Testing
"We have been running the VDS using HiveMQ for 4 years and the HiveMQ broker has not gone down. It is rock solid, completely reliable."
Marius Hertfelder
Chief Software Architect at Mercedes Benz
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Mercedes Benz Drives Smart Manufacturing with HiveMQ: Ensuring Reliability in Automotive Testing
"We have been running the VDS using HiveMQ for 4 years and the HiveMQ broker has not gone down. It is rock solid, completely reliable."
Marius Hertfelder
Chief Software Architect at Mercedes Benz
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Ford Modernizes Global Manufacturing with Real-Time Data for Intelligent Operations
"HiveMQ facilitates real-time communication, allowing for immediate fault detection, calculation of key performance indicators (KPIs), and instantaneous alert generation directly back to the plant floor. This centralized approach streamlines data flow and operational oversight."
Gopalakrishnan Rajaram
Solution Architect - Industrial Systems at Ford
:format(webp))
Lilly Builds a Compliance-Driven Connectivity Solution with HiveMQ
"The solution we built with HiveMQ is critical for maintaining compliance, supporting real-time decision-making, and enabling operational efficiencies across Lilly's manufacturing plants."
Executive Director
Eli Lilly and Company
Mercedes Benz Drives Smart Manufacturing with HiveMQ: Ensuring Reliability in Automotive Testing
"We have been running the VDS using HiveMQ for 4 years and the HiveMQ broker has not gone down. It is rock solid, completely reliable."
Marius Hertfelder
Chief Software Architect at Mercedes Benz
Ford Modernizes Global Manufacturing with Real-Time Data for Intelligent Operations
"HiveMQ facilitates real-time communication, allowing for immediate fault detection, calculation of key performance indicators (KPIs), and instantaneous alert generation directly back to the plant floor. This centralized approach streamlines data flow and operational oversight."
Gopalakrishnan Rajaram
Solution Architect - Industrial Systems at Ford