Technology / Infrastructure and Edge

Internet of Things (IoT)

The Internet of Things connects physical equipment, environments and assets to software. Sensors report conditions, devices respond to commands and data flows to systems that monitor, analyse and increasingly apply AI.

Internet of Things and related concepts: Sensors, MQTT, Gateways, Edge AI, Digital Twins, LoRaWAN, Data Engineering Sensors MQTT Gateways Edge AI Digital Twins LoRaWAN Data Engineering Internet ofThings

What is Internet of Things?

Short answer

The Internet of Things (IoT) is the network of physical devices, such as sensors, machines, vehicles, meters and appliances, equipped with electronics, software and connectivity that allow them to collect data, exchange it with other systems and, in some cases, act on commands, typically managed through gateways and cloud or on-premises platforms.

An IoT solution usually has several layers: sensors and devices, connectivity such as Wi-Fi, cellular or low-power networks, gateways that aggregate and translate data, platforms that manage devices and store data, and applications that present information and trigger actions.

IoT creates the data foundation for many AI applications, including predictive maintenance, energy optimisation and digital twins. Its challenges are practical: device reliability in harsh conditions, power, connectivity, fleet management, security and integration with existing operational systems.

Related concepts

How it works

How does Internet of Things work?

  1. Sense

    Sensors measure physical conditions such as temperature, vibration, location or flow.

  2. Connect

    Devices transmit data using suitable networks and protocols.

  3. Aggregate

    Gateways collect, filter and forward data, sometimes processing it locally.

  4. Manage and store

    IoT platforms handle device identity, updates and data ingestion.

  5. Analyse and act

    Applications and AI turn data into alerts, insights and automated responses.

Applications

Where is Internet of Things useful?

Common applications across industries. Suitability always depends on the specific data, process and constraints.

Asset monitoring

Tracking the condition and location of equipment and vehicles.

Predictive maintenance

Using vibration and temperature data to anticipate failures.

Energy management

Metering and optimising energy use in buildings and plants.

Cold chain

Monitoring temperature for food and pharmaceuticals in transit.

Smart agriculture

Soil, weather and irrigation monitoring.

Smart buildings

Occupancy, air quality and equipment monitoring.

Limitations

Limitations and when not to use it

Every technology has boundaries. Knowing them early avoids expensive disappointment.

  • Devices in harsh environments require ruggedisation and maintenance.
  • Connectivity may be unreliable in remote locations.
  • Large fleets are complex to provision, update and support.
  • Insecure devices can expose networks to attack.
  • Data from low-quality or uncalibrated sensors can mislead.

Common misconceptions

IoT is mainly about sensors.
Connectivity, data management, security and applications usually require more effort than sensors.

More data points always help.
Data must be relevant, accurate and used; excessive data adds cost.

IoT security can be added later.
Device identity, encryption and update mechanisms must be designed in from the beginning.

Comparison

Common IoT connectivity options

Connectivity choice depends on range, data rate, power and cost.

OptionRangeData ratePower useTypical uses
Wi-FiShortHighHighBuildings, factories with coverage
Bluetooth Low EnergyVery shortLow to moderateVery lowWearables, asset tags
4G and 5G cellularWideHighModerate to highVehicles, remote sites, video
LoRaWANLongVery lowVery lowAgriculture, utilities, city sensors
NB-IoTWideLowLowMeters, simple remote monitoring

Decision guide

How to evaluate Internet of Things for your organisation

Questions worth answering before investing. They form the basis of our feasibility and proof-of-concept work.

Question to askWhy it matters
What decisions will IoT data support?Purpose determines what to measure and how often.
What are the physical and power constraints?Environment and power shape device and connectivity choices.
How will devices be secured and updated?Fleet security is essential for safe operation.
How will IoT data integrate with existing systems?Value depends on connecting to maintenance, operations and planning systems.
Who will install and maintain devices?Operational support is a major part of total cost.

FAQ

Internet of Things FAQs

What is IoT?

The Internet of Things is the network of connected physical devices that collect and exchange data, enabling remote monitoring, analysis and control of equipment and environments.

What is Industrial IoT?

Industrial IoT applies IoT to industrial settings such as factories, utilities and energy, connecting machines and sensors for monitoring, maintenance and optimisation.

What is MQTT?

MQTT is a lightweight publish and subscribe messaging protocol widely used in IoT for efficient communication between devices and platforms.

How does IoT relate to AI?

IoT provides real-world data that AI analyses to detect anomalies, predict failures, optimise operations and power digital twins, sometimes directly on edge devices.

How do you secure IoT devices?

Through unique device identities, secure boot, encrypted communication, network segmentation, least-privilege access and signed over-the-air updates.

Next step

Exploring Internet of Things?

Tell us what you want to achieve. We will help you judge whether this technology is the right fit and how to test it with your own data.

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