IoT Devices

by Sagar Joshi
IoT devices are hardware instruments that can collect and exchange data over the internet. Learn more about its components, concerns, and how they work.
Sagar Joshi
SJ

Sagar Joshi

Sagar Joshi is a former content marketing specialist at G2 in India. He is an engineer with a keen interest in data analytics and cybersecurity. He writes about topics related to them. You can find him reading books, learning a new language, or playing pool in his free time.

Last updated: August 7, 2026

What are IoT devices?

Internet of Things (IoT) devices are hardware instruments that collect and exchange data over the internet. Each device runs its own embedded software and connects to a network without needing constant human input, and is generally deployed in one of three settings: an industrial plant, a commercial business, or a consumer's home.

IoT devices work as part of a larger Internet of Things ecosystem rather than in isolation. A single device rarely does much on its own; its value comes from feeding data to other devices, an app, or a management platform that turns raw signals into an action. That's why most businesses running IoT devices at any scale pair them with IoT device management software, so IT teams can push updates, watch for anomalies, and lock down a compromised unit without physically touching every device in the fleet.

What are the components of an IoT device?

An IoT device is built from four working parts: a sensor, a processor, a network connector, and an actuator. Each plays a different role in turning a real-world signal into a real-world response.

  • Sensors: the input layer, built from components like a temperature probe, an optical sensor, or a radio frequency identification (RFID) tag, that turn a physical condition into a signal the processor can read.
  • Processors: small onboard chips, typically a microprocessor or microcontroller, that run the device's embedded software and decide what to do with the sensor's data.
  • Network connectors: the radio hardware, commonly a Wi-Fi chip, cellular modem, or Bluetooth module, that carries data out to a gateway or cloud platform and relays commands back to the device.
  • Actuators: the output layer that turns a decision into a physical result, such as a valve opening, a relay switching, or a motor turning.

Some IoT devices also carry a small amount of onboard storage to buffer data before it's transmitted, but most IoT network protocols aren't built to handle large local storage, so the heavier data work usually happens on a connected platform rather than on the device itself.

How do IoT devices connect to the internet and send data?

IoT devices connect to the internet and send data by moving through the same cycle every time: they sense an event, connect to a network, process the data, and act on the result.

  • Sense: An integrated sensor detects a change, such as a door opening or a shift in vibration, and hands it off to the device's processor.
  • Connect: The device sends data over a protocol matched to its power and range, from Wi-Fi or Bluetooth up close to cellular, LoRaWAN, MQTT, or CoAP farther out, after acquiring an IP address from a DHCP server or routing through a gateway if it can't connect directly.
  • Process: The device's onboard processor, or a cloud platform it reports to, interprets the incoming data and determines whether a response is needed.
  • Act: If a response is needed, an actuator carries it out, or the device simply logs the reading for later use.

IoT devices vs. smart devices

IoT devices and smart devices overlap but aren't the same thing: every smart device is an IoT device, but not every IoT device is smart. An IoT device only needs to sense and transmit data; a smart device adds local intelligence, using that data to adjust its own behavior without a person or a separate service telling it what to do.

PARAMETERS  IoT device Smart device
Definition Any hardware that connects to a network to collect or exchange data, from a basic soil-moisture sensor to a connected vending machine. The smaller group of IoT devices built with on-device intelligence that lets them adapt their own behavior.
Behavior May do nothing more than report a reading to a platform elsewhere. Makes decisions locally, often with on-device processing or learned patterns.
Example An industrial vibration sensor that logs data to a maintenance dashboard. A smart thermostat that adjusts temperature based on a household's learned occupancy patterns.

What industries are using IoT devices and for what purpose?

IoT devices are used across seven major industries, each pairing the same sense-connect-process-act cycle with a different purpose: smart homes automate comfort, physical security systems monitor property, wearables track personal activity, healthcare devices support remote patient care, industrial and logistics operations manage assets, retailers process transactions, and transportation systems meter and route vehicles.

  • Smart homes: Smart TVs, speakers, thermostats, and door locks use IoT devices to automate lighting, temperature, and entertainment based on who's home. A smartwatch detecting its owner is nearby can trigger the garage door and adjust the thermostat before anyone walks in.
  • Physical security: Motion sensors and connected cameras turn a home or office into something you can check on remotely, sending an alert the moment something moves rather than waiting for a person to notice.
  • Wearables: Fitness trackers, smartwatches, and smart glasses use IoT devices to monitor activity, heart rate, and location, feeding data back to an app rather than acting on it directly.
  • Healthcare: A connected insulin pump or a wearable ECG monitor reports patient data continuously instead of only at a scheduled appointment, giving doctors an earlier signal when something changes.
  • Industrial and logistics: Businesses use Industrial IoT (IIoT) equipment for asset tracking, quality control, and predictive maintenance, and the same kind of sensor watching a factory machine can ride along in a shipping container to flag a temperature swing or a route delay before it turns into a claim.
  • Retail and point of sale: Retailers and restaurants use IoT-enabled point-of-sale (PoS) terminals to digitize and customize payments, speeding up checkout and improving the customer experience.
  • Transportation: A SIM card embedded in a shared scooter or bike reports its exact location for the length of the rental, which is how the operator bills by distance and knows the device is free again the moment a ride ends.

What risks do IoT devices pose?

IoT devices carry three main risks: weak default security that leaves individual devices exposed, a network effect where one compromised device threatens every device connected to it, and a growing management burden as the number of connected devices scales.

  • Weak device-level security: IoT devices commonly ship with a default password and no forced setup step, and most owners never touch either one. That default configuration is exactly what an attacker looks for first.
  • Network-wide exposure: IoT devices are built to talk to each other, so a single compromised sensor can become the way in for everything else sharing that network. No IoT deployment can guarantee constant, device-by-device coverage at scale, which is one reason network security practices like segmentation and traffic monitoring carry more weight here than on a typical office network.
  • Management at scale: The more devices an organization deploys, the harder it becomes to track firmware versions, apply patches, and enforce access policies device by device. This is why most businesses evaluate device enrollment and IoT device management processes before scaling past a pilot deployment, rather than after.

These risks make IoT devices a common target in broader cyber attacks, which is why cybersecurity teams increasingly treat IoT security as its own discipline rather than an extension of standard IT.

Frequently asked questions about IoT devices

Have unanswered questions? Find answers below.

Q1. IoT devices vs. embedded systems: what's the difference?

An embedded system is dedicated hardware and software built for one task, such as a washing machine's control unit, and it works without network access. Add network connectivity and the ability to exchange data with other systems, like a thermostat board upgraded to report readings over Wi-Fi, and that same hardware is now classified as an IoT device. Every IoT device contains an embedded system; not every embedded system is connected.

Q2. How can you improve power efficiency in battery-powered IoT sensors?

Battery-powered IoT sensors save power by transmitting on a schedule instead of continuously, using low-power protocols like LoRaWAN or Zigbee instead of Wi-Fi, and sleeping between readings so the radio only draws power when there's data to send. Matching the network connector to the sensor's actual range, rather than defaulting to the strongest signal, is the biggest efficiency gain available at deployment.

Q3. How do you secure IoT devices?

Securing IoT devices starts with changing default passwords and disabling unused features, since most attacks target settings nobody configured. From there, keep firmware patched, segment IoT devices onto their own part of the network, and require device authentication before any device can send or receive data. Past a handful of devices, most businesses add an IoT device management platform to handle this across the fleet.

Explore how artificial intelligence powers the Internet of Things to see what's driving the next wave of connected devices.

IoT Devices Software

This list shows the top software that mention iot devices most on G2.

Microsoft Defender for IoT is a comprehensive security solution designed to protect Internet of Things (IoT and operational technology (OT environments. It offers real-time asset discovery, vulnerability management, and cyberthreat protection for industrial infrastructures, including industrial control systems (ICS and OT networks. By providing complete visibility into all IoT and OT assets, Defender for IoT enables organizations to manage security posture effectively and reduce the cyberattack surface area. Its agentless, network-layer monitoring ensures seamless integration with existing systems without impacting performance. Key Features and Functionality: - Context-Aware Visibility: Gain comprehensive insights into all IoT and OT assets, including device details, communication protocols, and behaviors. - Risk-Based Security Posture Management: Identify and prioritize vulnerabilities using a risk-prioritized approach to minimize the cyberattack surface. - Cyberthreat Detection with Behavioral Analytics: Utilize IoT and OT-aware behavioral analytics and machine learning to detect and respond to cyberthreats effectively. - Agentless Monitoring: Deploy non-invasive, passive monitoring that integrates seamlessly with diverse industrial equipment and legacy systems. - Unified Security Operations: Integrate with Microsoft Sentinel and other security information and event management (SIEM systems for centralized monitoring and governance. Primary Value and Problem Solved: Defender for IoT addresses the critical need for robust security in IoT and OT environments, which are often vulnerable due to unpatched devices, misconfigurations, and lack of visibility. By providing real-time asset discovery, continuous monitoring, and advanced threat detection, it empowers organizations to proactively manage risks, ensure compliance, and protect critical infrastructure from evolving cyberthreats. This solution enables seamless integration with existing security operations, fostering a unified approach to IT and OT security.

AWS IoT Device Defender is a fully managed service that helps you secure your fleet of IoT devices. AWS IoT Device Defender continuously audits the security policies associated with your devices to make sure that they aren't deviating from security practices.

Azure IoT Hub is a scalable, multi-tenant cloud platform (IoT PaaS) that includes an IoT device registry, data storage, and security. It also provides a service interface to support IoT application development.

EMQ is an innovative open-source software provider with strong roots in IoT data infrastructure, delivering the world’s leading cloud-native MQTT messaging, streaming database, and edge computing solutions. Since 2017 EMQ has been developing a high-performance and massively scalable distributed MQTT messaging server¬ – EMQX to accelerate the connectivity and integration of a wide spectrum of IoT applications and data across multiple platforms. So far, EMQX has been adopted by more than 10,000 enterprise users from over 50 countries, connecting more than 100 million IoT devices worldwide. EMQ’s robust and flexible edge-to-cloud IoT data solutions encompass a suite of technologies designed for IoT applications: reliability, security, availability, scalability, latency & throughput. This enables successful enterprise-grade IoT deployments with ease and scale.

Particle offers a suite of hardware and software tools to help you prototype, scale, and manage your Internet of Things products.

EMnify helps to connect, manage and control M2M and IoT devices and services on a global basis.

AWS IoT is a comprehensive suite of services designed to connect, manage, and analyze data from billions of devices, ranging from simple sensors to complex industrial machinery. It enables secure, bi-directional communication between internet-connected devices and the AWS cloud, facilitating the development of intelligent applications that respond to real-world events. Key Features and Functionality: - Device Connectivity: AWS IoT Core supports multiple communication protocols, including MQTT, HTTPS, MQTT over WebSockets, and LoRaWAN, allowing devices to connect securely and reliably without the need to manage servers. - Device Management: AWS IoT Device Management simplifies the registration, organization, monitoring, and remote management of IoT devices at scale, including over-the-air (OTA) updates. - Security: AWS IoT Device Defender provides tools to identify and respond to security issues, auditing device fleets to ensure adherence to security best practices and continuously monitoring for abnormal behavior. - Data Processing and Analytics: AWS IoT Analytics automates the collection, processing, and analysis of IoT data, enabling real-time insights and integration with machine learning models. - Edge Computing: AWS IoT Greengrass extends AWS capabilities to edge devices, allowing local data processing, messaging, and machine learning inference, reducing latency and conserving bandwidth. Primary Value and Solutions: AWS IoT addresses the challenges of connecting and managing vast networks of devices by providing a scalable, secure, and fully managed platform. It enables organizations to collect and analyze data from diverse devices, leading to improved operational efficiency, enhanced security, and the development of innovative, data-driven applications. By integrating with other AWS services, AWS IoT facilitates seamless data flow and processing, empowering businesses to make informed decisions and respond swiftly to changing conditions.

Device Authority is a global leader in Identity and Access Management (IAM) for the Internet of Things (IoT) and Blockchain. Our KeyScaler™ platform provides trust for IoT devices and the IoT ecosystem, to address the challenges of securing the Internet of Things. KeyScaler uses breakthrough technology including Dynamic Device Key Generation (DDKG) and PKI Signature+ that delivers unrivalled simplicity and trust to IoT devices

AWS IoT Events is a fully managed IoT service that makes it easy to detect and respond to events from IoT sensors and applications. Events are patterns of data identifying more complicated circumstances than expected, such as changes in equipment when a belt is stuck or connected motion detectors using movement signals to activate lights and security cameras.

AWS IoT Core is a managed cloud service that enables connected devices to securely and seamlessly interact with cloud applications and other devices. It supports billions of devices and trillions of messages, processing and routing them reliably and securely. With AWS IoT Core, applications can keep track of and communicate with all devices at all times, even when they are not connected. Key Features and Functionality: - Device Connectivity and Management: AWS IoT Core allows for the secure connection, management, and scaling of device fleets without the need to provision or manage servers. It supports various communication protocols, including MQTT, HTTPS, MQTT over WebSockets, and LoRaWAN, providing flexibility in device communication. - Secure Communication: The service ensures end-to-end encryption and mutual authentication, safeguarding device connections and data integrity. It supports multiple authentication methods, including X.509 certificates and custom token-based authentication. - Data Processing and Routing: AWS IoT Core's rules engine evaluates inbound messages, allowing for real-time filtering, transformation, and routing based on user-defined business rules. This enables seamless integration with other AWS services such as AWS Lambda, Amazon S3, and Amazon DynamoDB for further processing and storage. - Device Shadow: The service maintains a persistent, virtual representation of each device's state, known as a Device Shadow. This feature allows applications to interact with devices even when they are offline by providing the last reported state and desired future state of each device. Primary Value and Solutions Provided: AWS IoT Core simplifies the development and deployment of IoT applications by offering a secure, scalable, and fully managed platform. It addresses key challenges in IoT solutions, such as secure device connectivity, efficient data processing, and seamless integration with cloud services. By leveraging AWS IoT Core, businesses can focus on innovation and delivering value to their customers without the complexities of managing infrastructure.

Azure Time Series Insights is a fully managed analytics, storage, and visualization service for managing IoT-scale time-series data in the cloud. It provides massively scalable time-series data storage and enables you to explore and analyze billions of events streaming in from all over the world in seconds.

Cisco technologies can help your business create value from the IoT.

The easiest to use cellular platform for IoT. Connect your entire fleet anywhere, on every network, all powered from a single SIM card.

Tuya Smart (NYSE: TUYA) is a leading global IoT Cloud Platform that connects the intelligent needs of brands, OEMs, developers, and retail chains, providing a one-stop IoT PaaS-level solution that contains hardware development tools, global cloud services, and smart business platform development, offering comprehensive ecosystem empowerment from technology to marketing channels to build the world's leading IoT Cloud Platform.

Tizen is an open-source, Linux-based operating system developed collaboratively by Samsung Electronics and the Linux Foundation. Designed to provide a consistent and reliable platform, Tizen powers a diverse range of devices, including smart TVs, monitors, digital signage, and smart home appliances. Its flexible architecture allows for seamless integration across various product categories, delivering a unified user experience. Tizen's emphasis on performance, security, and scalability makes it a robust foundation for Samsung's smart device ecosystem. Key Features and Functionality: - Cross-Device Compatibility: Tizen OS is deployed across multiple product lines, ensuring a consistent user interface and experience across different devices. - Advanced Graphics Performance: The operating system offers enhanced graphics capabilities, providing responsive and visually appealing interfaces for smart TVs and monitors. - HTML5 Support: Tizen emphasizes compatibility with HTML5, enabling developers to create rich web applications that run smoothly across Tizen-powered devices. - Open-Source Platform: Being open-source, Tizen allows for extensive customization and development, fostering innovation and adaptability to various industry requirements. Primary Value and User Solutions: Tizen addresses the need for a unified operating system that can seamlessly connect and operate across a wide array of smart devices. For device manufacturers, it offers a flexible and scalable platform that can be tailored to specific product needs, reducing development time and costs. For developers, Tizen provides a robust environment with comprehensive tools and support for building applications that can reach a broad audience across different device types. End-users benefit from a cohesive and intuitive experience, as Tizen ensures smooth interaction and interoperability between their smart devices, enhancing convenience and functionality in their daily lives.

HiveMQ provides the most trusted IoT data streaming platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. It allows businesses to connect, stream, and govern their data in real-time across OT and IT systems for advanced analytics, predictive maintenance, and digital transformation.

To instill trust in the diverse IoT infrastructure, ZingBox invented the IoT personality-based approach to secure IoT. Each IoT device exhibits certain limited set of functions, flow and vulnerabilities regardless of where it is deployed, a.k.a IoT personality. This approach discerns each device's behaviors and detects any unusual activities to enforce trust amongst connected devices. Traditional security solutions focus on data protection; ZingBox goes further to provide service protection for business continuity.

Warp 10 is a platform designed to collect, store and analyze sensor and Time Series data. Warp 10 is both a Time Series Database and an associated analytics environment.

Blynk help businesses to build successful connected products. It enables organizations to move smoothly from prototype to production in short iterations, collecting feedback, and refining the product at every development stage.