IoT Data

IoT data refers to the information generated, collected, and transmitted by Internet of Things (IoT) devices, physical objects embedded with sensors, actuators, software, and connectivity features that enable them to interact with their environment and communicate with other systems. These data points may include environmental values (e.g. temperature, humidity), positional data (e.g. GPS coordinates), machine states, usage metrics, or biological readings.

IoT devices operate in networked ecosystems, often sending data continuously or at set intervals to cloud platforms or edge systems for storage, processing, and analysis. The nature of the data is typically real-time, high-volume, and heterogeneous, requiring advanced infrastructure to manage.

Key use cases include:

• Predictive maintenance in industrial machinery
• Energy monitoring in smart grids and buildings
• Asset tracking in logistics
• Health monitoring via wearable sensors

Processing IoT data involves several stages: data ingestion, cleaning, transformation, and analysis. Technologies such as streaming analytics, machine learning, and edge computing are commonly applied to derive insights from massive data flows.

Secure and scalable handling of IoT data also requires robust cybersecurity, device management, and data governance to ensure compliance with regulations and maintain system integrity.

See also: Internet of Things (IoT), Sensor technology, Cloud services