The Industrial Internet of Things refers to the use of network-connected industrial assets, sensors, controllers, machines, and software systems to collect, exchange, and use operational data in manufacturing and other industrial environments. In practice, it commonly links shop-floor equipment and OT data with higher-level applications such as MES, ERP, quality, maintenance, or analytics platforms.
IIoT is commonly used for machine monitoring, condition monitoring, production visibility, traceability support, energy monitoring, and event or alarm reporting. A typical IIoT setup may include sensors, PLCs, gateways, edge devices, communication protocols, and cloud or on-premise applications that turn raw equipment data into usable operational information.
In manufacturing, IIoT is broader than a single device or software product. It refers to the connected architecture and data flow across assets and systems. It is also distinct from consumer IoT, which usually focuses on household or personal devices rather than industrial reliability, integration, and control requirements. Depending on context, IIoT may support monitoring only, or it may also feed supervisory control, workflow triggers, quality records, or maintenance processes.
The term is sometimes used alongside concepts such as Industry 4.0, smart manufacturing, and connected operations. Those terms overlap, but IIoT usually refers more specifically to the connected device and data layer that enables those broader initiatives.