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What is IoT?

The Internet of Things (IoT) is a technology that enables physical devices to securely collect and transmit data across network connections.

IoT overview

The Internet of Things (IoT) is a network of physical devices—like cameras, cars, and hospital beds—embedded with sensors, software, and internet connectivity that allows them to detect and exchange data. IoT devices collect, transmit, and act on data in real time to help organizations improve operational efficiency, decision making, and customer experiences across industries, such as healthcare, manufacturing, and transportation.

  • The Internet of Things is a network of devices that connect and communicate to detect and exchange information with each other and the cloud.
  • IoT uses hardware and software components alongside network connections to autonomously collect, transmit, and act on data across devices.
  • IoT devices and platforms help organizations gain a competitive edge by enabling real-time visibility, automation, and data-driven decision making.
  • Examples of IoT systems include smart homes, factory automation, and remote monitoring devices like glucose monitors.

How IoT works

IoT uses a combination of software, network connections, and hardware components to autonomously send and receive data across devices. By connecting machines and systems over the internet, IoT devices create an ecosystem where machines work together to monitor conditions, make decisions, and trigger automated actions without requiring human intervention.

Key components of IoT devices include:

  • Sensors that monitor environments to detect changes—such as temperature, motion, pressure, or humidity—and convert that information into digital signals. These signals can then be transmitted to other devices or into the cloud.
  • Unique identifiers (UIDs) that distinguish each IoT device within the network. UIDs ensure that data collected from sensors can be accurately attributed and routed to the correct destination. IoT networks often involve thousands of devices, so this identification system is critical for managing device-specific data streams at scale.
  • IoT platforms that aggregate, store, and analyze the raw data that devices collect. These platforms provide tools for device management and data visualization to help organizations process data more efficiently. Plus, they enable connectivity with other applications or AI solutions to further increase the value of your data.
  • Actuators that perform actions based on the data they receive, such as adjusting a thermostat or opening a valve. This technology enables IoT devices to automate manual tasks and help organizations streamline workflows.
  • Network connectivity to connect to other devices or systems and exchange information. IoT devices may use various communication protocols—such as Wi-Fi, Bluetooth, or cellular networks—to send and receive data across local and global networks.
  • Edge computing to process data closer to where it’s collected. By analyzing data locally, edge computing reduces response times and minimizes the amount of information transmitted to the cloud. This is particularly important for applications requiring real-time decision-making, such as autonomous vehicles or industrial robotics.

The benefits of IoT

Using IoT devices presents various benefits for people and organizations, such as:

Higher operational efficiency

Automate tasks to streamline and accelerate workflows, reducing the time and effort needed to perform everyday processes like inventory management and equipment maintenance. Incorporating IoT devices within your business operations helps teams stay focused on high-value, strategic work.

Improved safety

Monitor environments and conditions in real time to detect hazards—like gas leaks or unauthorized equipment use—and proactively alert teams before accidents happen.

Enhanced customer experiences

Track customer habits and behaviors to provide more personalize experiences and quickly identify issues before they affect customers.

Increased visibility

Continuously collect real-time data to gain clarity across your organization’s systems, assets, and workflows. This helps your organization measure performance, reduce uncertainty, and uncover new ways to improve operations.

Lower costs

Track equipment conditions—such as temperature and output quality—to find issues before machinery fails, reducing downtime and preventing costly emergency repairs. Plus, IoT devices help optimize resources across operations to waste less energy.

More informed decision making

Quickly turn raw data into actionable insights that guide your decision-making processes. IoT devices and platforms empower your organization with predictive analytics to support more proactive business strategies.

IoT use cases and examples

The Internet of Things provides real-time visibility, automation, and big data analytics capabilities that help any organization—regardless of size or industry—gain a competitive advantage. Plus, IoT devices also empower consumers to improve their day to day by making key functions more convenient.

Industrial IoT

IoT transforms industrial environments—like manufacturing plants, energy operations, and logistics networks—by equipping machines, equipment, and infrastructure with connected sensors that give organizations real-time insights into operational performance. Plus, they empower teams to automate tedious or time-consuming tasks that previously required manual intervention.

Common industrial IoT use cases include:

  • Predictive maintenance. Detect early signs of equipment failure to help minimize unplanned downtime.
  • Remote asset monitoring. Get realtime visibility into machinery, fleets, or environmental conditions across locations.
  • Factory automation. Streamline workflows and automatically regulate product quality using IoT devices that autonomously collect and act on data.
  • Energy management. Track and optimize energy consumption to lower costs and reduce your carbon footprint.
  • Industrial safety and compliance. Proactively detect hazards, monitor worker conditions, and trigger automated safety protocols to ensure compliance with regulatory standards.

Healthcare IoT

IoT devices reshape clinical workflows, patient experiences, and medical outcomes by significantly increasing visibility into patient health and streamlining operations. Using IoT devices, care teams can adopt proactive strategies and deliver higher quality care more efficiently.

Common healthcare IoT use cases include:
 

  • Remote patient care. Continuously monitor and track vitals like heart rate, blood pressure, and glucose levels to proactively address patient needs.
  • Equipment management. Monitor usage and track device location in real time to improve equipment allocation and reduce downtime.
  • Smart hospital infrastructure. Maintain patient comfort by automatically detecting and adjusting to changes in temperature, air quality, and humidity.
  • Inhome care and support. Offer wearables and other IoT-enabled devices that detect falls or abnormal patterns to help teams assist aging populations and chroniccare patients.

Consumer IoT

In addition to helping organizations gain a competitive edge, IoT brings connected intelligence into everyday life, enabling seamless control, personalization, and automation across homes, vehicles, and personal devices. By linking sensors, apps, and cloud services, consumer IoT helps individuals gain greater convenience, safety, and realtime insights while simplifying routine tasks and everyday functions.

Common consumer IoT use cases include:
 

  • Smart homes. Automatically heat and cool your home and adjust lighting while reducing energy costs.
  • Wearables and fitness trackers. Monitor aspects of your health in real time, including your activity, sleep, and biometric patterns.
  • Home security and safety. Detect and automatically react to motion or camera detection by sending alerts or locking doors.
  • Smart vehicles. Get real-time car diagnostics to help troubleshoot issues and navigation insights to personalize your driving experience.

The future of IoT

Many modern IoT devices combine edge computing with AI technologies like machine learning to further optimize business operations and simplify everyday lives. Edge computing processes data close to wherever that data is created—rather than in the cloud—to speed up response times and reduce bandwidth costs. AI algorithms make it possible for IoT devices to analyze vast amounts of sensor data in real time. Together, these technologies significantly increase the efficiency and effectiveness of the Internet of Things, setting the stage for hyper connected systems that learn, adapt, and act with increased sophistication.

As emerging trends continue to gain momentum, IoT is well-positioned to deepen its impact on the world around us. Smart cities are evolving into fully interoperable ecosystems that use edge computing and AI to optimize traffic flow, strengthen public safety, and reduce energy consumption. Predictive maintenance—already a major driver of industrial IoT adoption—will become even more proactive and precise as advanced models learn to detect anomalies earlier and recommend targeted interventions.

However, as IoT ecosystems grow in scale and complexity, cybersecurity is becoming a significant determinant of successful, sustainable IoT deployments. By using AI-powered threat detection tools and Zero Trust architectures for your IoT systems, you ensure that your organization can identify threats across distributed devices and protect your business infrastructure in real time.

Frequently asked questions

  • IoT is a network of everyday physical objects—like appliances, vehicles, and sensors—that connect to the internet to collect, share, and act on data with little or no human involvement. This connectivity enables smarter automation, insights, and decision-making.
  • Everyday IoT systems and devices include:
    • Smart thermostats that automatically adjust temperatures.
    • Fitness trackers that continuously monitor health.
    • Smart lights that automatically adjust brightness or color.
    • Smart speakers that control home devices based on your voice.
  • Many modern IoT systems use edge computing and AI algorithms to process sensor data closer to wherever the data is collected, rather than in the cloud. These technologies help increase response times and reduce bandwidth costs when using IoT devices.
  • As edge computing and AI improve the effectiveness of the Internet of Things, IoT systems are set to deepen their impact on the world around us in the future. Smart cities are evolving into fully interoperable ecosystems that optimize traffic flow, strengthen public safety, and reduce energy consumption. Plus, predictive maintenance will become even more proactive and precise as advanced models learn to detect anomalies earlier and recommend targeted interventions.