What Condition Monitoring & Predictive Analytics suppliers provide

Suppliers in this category provide systems that track the operating condition of machinery and predict maintenance needs before failures occur. Core elements include sensors for vibration, temperature, acoustic emission, or oil condition; software that aggregates and analyses this data over time; and alerting or reporting functions that flag developing faults. Predictive analytics extends this further by using historical and real-time data to estimate remaining useful life or recommend maintenance timing. Some suppliers focus on specific asset types such as rotating machinery, while others offer platform-level analytics that work across many equipment categories. Their core competence lies in distinguishing normal operating variation from genuine degradation. In the pre-selection phase, compare which asset types and industries a supplier has experience monitoring, since sensor placement and analytics models are asset-specific.

Relevant standards

Where condition monitoring systems connect to plant networks and other software, OPC UA is a common interoperability standard for data exchange. Given the sensitivity of production data collected continuously from machinery, information security practices aligned with ISO/IEC 27001 and industrial cybersecurity under IEC 62443 are relevant considerations, particularly for cloud-connected monitoring platforms.

Frequently asked questions

What is the difference between condition monitoring and predictive maintenance?
Condition monitoring tracks equipment health data continuously; predictive analytics uses that data to forecast when maintenance will actually be needed, rather than relying on fixed schedules.

Do these suppliers also provide sensors?
Many do, since condition monitoring depends on sensor data, but some suppliers offer analytics software only and work with data from your existing sensors.