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With HiveMQ our customers achieved
Increased revenue by improving asset utilization by 1 day/year
Savings per year by enabling predictive maintenance
Compliance fine avoidance due to early leak detection
Key energy sectors
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HiveMQ drives business outcomes
HiveMQ helps energy companies build a robust IoT messaging infrastructure by connecting distributed energy assets in renewables, upstream, mid stream and downstream operations.
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Increased energy efficiency
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More sustainable operations
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Improved energy utilization
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Reduced downtime
Selected HiveMQ case studies in energy
Leading Oil & Gas Company Increases Operational Efficiency with Real-time Oil Well Monitoring
A prominent upstream oil and gas exploration and production company achieved near real-time data collection and monitoring of remote oil fields with HiveMQ.
Anglian Water improves IT and OT integration by building a UNS with HiveMQ
Learn how Anglian Water uses Unified Namespace (UNS) and HiveMQ MQTT platform for OT/IT integration and to get valuable insights into asset performance.
Currenta and HiveMQ Drive Digital Transformation in the Chemical Industry
Learn how Currenta leveraged the power of the Internet of Things (IoT) and the lightweight MQTT protocol to streamline its operations.
The decision to switch to HiveMQ was driven by its scalability, ease of implementation, and excellent service and support. It made our complex integration with other technologies seamless.
Andreas Eigenmann
Geobrugg
Key trends in energy
The energy sector is rapidly evolving, with companies embracing innovative technologies to improve efficiency, sustainability, and regulatory compliance. Leaders in the energy industry are leveraging these key trends to drive operational improvements and meet modern energy demands:
Sustainability
Smart grids
Energy management
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Predictive maintenance
Energy solutions architecture
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Technical benefits of HiveMQ for energy
Energy operators need to connect, contextualize and act on data quickly across OT and IT systems. HiveMQ's platform delivers a secure, reliable foundation for real-time data streaming, with the context and governance in place to turn that data into trusted, timely decisions.
Scalable
Reliable
Secure
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Event-driven architecture
Real time
Edge optimized
Low bandwidth
Observable
Simple to deploy
Energy resources
Agentic AI in energy: Guardrails before autonomy
Agentic AI in energy depends on knowing when not to act. See how governed operational data and explicit guardrails help agents earn authority stage by stage.
Why energy AI pilots fail in production and how to fix it
Energy AI pilots work because a person hand-builds the context. Learn the five data foundation layers that keep AI reliable in production across your fleet.
Why energy KPI standardization belongs in the data layer
Energy KPI standardization fails when it relies on meetings. See how to define capacity factor and availability once in the data layer so every team trusts it.
Governance: Why your UNS won't fail at the first site but will at the second
UNS governance decides whether a unified namespace scales past the first site or breaks at the second. See what active governance requires in energy operations.
Agentic manufacturing: why the Unified Namespace comes first
Agentic manufacturing turns real-time operational data into governed AI action. See how a Unified Namespace makes it possible, with human oversight built in.
A Wind Farm Is Not a Factory Line: Designing a Namespace for Energy Assets
Energy companies should not copy a manufacturing Unified Namespace. Learn how to design an energy-specific namespace for assets, operations, and data.