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Top IoT use cases & statistics for 2026
March 10, 2026
The Internet of Things (IoT) is a network of connected devices with sensors and actuators that gather data from the surrounding environment and transmit it to analytics systems, enabling diverse IoT use cases, from real-time asset monitoring to predictive analytics and process optimization.
Helping businesses streamline various operations and make more informed decisions, IoT systems are being widely adopted across all industries. Let’s examine the most popular use cases of IoT software implemented across multiple sectors, as well as the most prominent real-world IoT applications, and get acquainted with the top IoT statistics for 2026.
Top IoT use cases across industries
Manufacturing IoT
Equipment predictive maintenance
Industrial IoT solutions collect real-time data from equipment endpoints, enabling remote monitoring of machines’ condition and helping predict potential issues, thus giving the personnel time to prevent costly failures and production downtime.
Digital twin
When IoT sensors are installed densely enough to gather information on everything inside a factory, businesses can create a virtual copy of their facility, or a digital twin, with the help of manufacturing ML and cloud computing technologies. Digital twins in manufacturing let engineers simulate production floor processes, conduct experiments, and discover process bottlenecks or opportunities for product improvement without interfering in real-life manufacturing workflows.
Smart energy management
By implementing IoT-enabled smart meters across the facility and connecting them to energy management systems, plants can streamline energy audits and quickly detect abnormalities in energy consumption, thus saving considerable costs and ensuring energy efficiency.
Quality control
Manufacturers can use IoT sensors to track such production floor metrics as temperature, humidity, or pressure to control the conditions of the manufacturing process and thus ensure end-product quality. In addition, IoT sensors enable factories to make quality monitoring more rigorous and have it at every step of product manufacturing instead of only at the final stage.
Healthcare IoT
Remote patient monitoring & diagnostics
Patient trackers and other wearables equipped with IoT sensors can monitor patient health conditions and alert doctors in cases of emergency. In addition, IoT-powered medical devices can facilitate patient diagnostics by gathering comprehensive data about a person’s condition.
Healthcare facility management
Hospitals can utilize IoT sensors combined with video surveillance systems to better track hospital equipment, like dialysis stations, smart beds, or wheelchairs, as well as patient flow around the facility. Based on IoT data from across the facility, hospital administration can also provide accurate information on the availability of surgery theaters or treatment rooms.
Medication management
Patient devices with embedded IoT sensors can help manage drug intake by sending alerts when it’s time to take medicine or an injection. In addition, connected implantable devices can assist patients with monitoring medication doses, like insulin or other hormonal implants.
Automotive IoT
Connected vehicles
IoT is the key enabler of connected vehicle technology, facilitating the interaction between cars and road infrastructure elements. Traffic lights, vehicles, and pedestrian devices can all exchange data when connected into a single IoT network, helping eliminate traffic congestion, improve road safety, and optimize car and road infrastructure energy usage.
Autonomous driving
Being an integral element of autonomous vehicle technology, IoT consolidates data from autonomous vehicle sensors such as cameras, radar, and LiDAR. This data powers driver-assistance systems providing various levels of automation, spanning from helping the driver with lane centering or cruise control to completely taking the driving over, with no human intervention needed.
Car predictive maintenance
IoT sensors installed across the vehicle can gather information about its state, including engine performance, fuel consumption, oil levels, and tire pressure. Automotive AI systems use this data for car diagnostics to help owners quickly detect and prevent potential mechanical issues, which saves maintenance costs, improves overall vehicle safety, and reduces its downtime.
Oil & gas IoT
Oil exploration
Connected IoT sensors collect seismic data and transmit it to geologists for further analysis to assist with the creation of subsurface structure images, detection of hydrocarbon reservoirs, and selection of the most optimal drilling site, thus accelerating the exploration.
Pipeline management
IoT sensors can monitor pipelines for signs of corrosion, leaks, and other issues, identifying problems before they occur for more effective predictive maintenance of the pipeline's infrastructure and minimization of production downtime.
Smart tanks & pumping systems
IoT sensors help monitor oil levels in a tank, helping employees to dispatch trucks only when it’s time to refill the reservoir. Moreover, IoT sensors can observe the pump's performance and alert the maintenance team of possible issues or hazards to avoid injuries and keep employees safe.
Telecom IoT
Network asset monitoring
Telecom companies can utilize IoT sensors to track their assets and network infrastructure health across various locations. Processing this data with predictive analytics solutions, they can detect potential issues early on and address them to ensure steady network performance.
Smart connectivity solutions
Telecom providers can expand their service offering with dedicated IoT connectivity solutions, such as SIM cards and eSIMs for connected devices, IoT platforms, and IoT management tools, for manufacturing, healthcare, logistics, and other types of companies.
Retail IoT
Supply chain management
IoT sensors, like RFID and NFC tags, can track goods in real-time at the production line, during transportation, and in the store, providing retailers with end-to-end visibility into their location and state. IoT can prove especially beneficial for tracking the delivery of perishable products, allowing retailers to monitor their location and transportation conditions, get notifications in case of any disruptions, and optimize delivery routes and conditions in real time.
Warehouse & stock inventory management
With the help of IoT sensors, retailers can considerably streamline complicated manual inventory management processes and partially automate retail warehouse management, remotely monitoring the inventory levels 24/7 and helping avoid overstock or stockout.
Experience personalization
Retailers can implement IoT devices across their shop floors to gather customer movement and behavior data and make the shopping experience more engaging based on the detected insights, from modifying store layouts in line with customer preferences to creating more personalized ads and marketing campaigns.
Self-checkout
With smart IoT-powered self-checkout solutions installed on the shop floors, customers no longer need to manually scan the products and use their credit cards. Instead, such systems can automatically detect products in the shopping cart and charge customers’ mobile app accounts, minimizing long queues and making shopping more convenient.
IoT in BFSI
Improved security
Banking and financial organizations can unite their smart security devices and CCTV cameras into a unified IoT infrastructure to better protect their buildings and assets. For more sensitive facilities, security can be strengthened with IoT-based biometric attendance systems featuring devices like face ID or fingerprint readers installed across certain organization floors to control access.
ATM monitoring
IoT technology can help banks monitor ATMs in multiple locations for malfunctions, possible tampering, or the need for replenishment, which allows for more efficient allocation of human resources and servicing ATMs only when needed.
Logistics IoT
Fleet management
With the help of IoT sensors, fleet managers can track vehicles' locations, speed, cargo weight, engine performance, and even drivers’ state and use this information to plan optimal routes and improve fleet efficiency.
Fleet predictive maintenance
IoT sensors embedded in fleet cars can collect a wide range of vehicle data, including engine performance, driving patterns of each vehicle, braking conditions, and oil levels. Analyzing this information, companies can predict potential breakdowns and schedule proactive fleet maintenance activities.
Warehouse inventory management
IoT technology can be highly useful for warehouse management, allowing logistics companies to keep track of stock levels, ensure safe storage of goods, and automate some manual data collection operations, thus reducing labor costs.
Drone-based delivery
Logistics companies can make drones part of their IoT infrastructure and use them to deliver perishable products or medication right to the customer’s doorstep.
Agriculture IoT
Precision farming
IoT systems are an important component of precision farming, gathering such data as temperature, humidity, pest infections, and overall soil condition to help farmers’ decision-making on the optimal use of water, fertilizers, or pesticides, saving costs and making farming more efficient.
Livestock management
Farmers can utilize IoT sensors to track the real-time location and health conditions of their cattle. Based on the gathered data, advanced analytics solutions can detect possible health issues, illnesses, and reproduction cycles and alert farmers about them.
Smart cities
Smart parking
An IoT system equipped with sensors installed across the parking lot can notify drivers about nearest available parking spots via a mobile or in-car application, helping reduce emissions and improve overall driver experience. Gathered from across the city’s parking lots, such information helps city administration detect the most popular areas for parking and effectively address the lack of parking places.
Utility management
Smart meters installed in residential areas across the city enable real-time monitoring of resources supply and demand and ensure accurate gas, water, and power consumption billing. This way, smart utility management solutions provide consumers with better control of their utilities, while utility companies can ensure better sustainability through wiser resource management.
Waste management
IoT systems can monitor waste levels in trash cans around the city, replacing scheduled waste collection with on-demand ones. In addition, such IoT systems can also help truck drivers create optimal routes to collect garbage, making waste collection more fuel- and time-effective.
Public transportation optimization
Municipalities can use IoT sensors to track public transport utilization patterns. Then, using IoT analytics solutions and interactive dashboards, they can detect overloaded or underloaded bus or train routes and optimize the allocation of transport resources across the city.
Smart homes
Smart lighting
Smart lighting systems allow residents to control all lighting in the house with their smartphones. The system can also be tuned to automatically switch on the lights if someone is in the room, dim the lights if the TV is on, or turn down the lights if no one is at home.
HVAC control
IoT-powered thermostat sensors, smart heating, ventilation, and air conditioning (HVAC) systems can measure the air quality and temperature inside the house and automatically adjust the air to home residents' needs and preferences.
Improved safety & security
Homeowners can equip their houses with smart sensors that can detect water or gas leaks and automatically block the pipelines or open windows and doors. In addition, the infrastructure of connected CCTV cameras monitoring the house and adjacent territory 24/7 and smart locks keeping track of all in and out movements can ensure greater safety for home residents.
Smart appliances
Home residents can interact with smart buildings’ appliances powered by IoT sensors and connected to the internet using their smartphones. For example, end users can turn on the kettle remotely, check the products in the fridge, or set a timer for the oven.
Insurance IoT
Accurate risk assessment
By collecting data from customers’ IoT devices, insurance specialists can determine insurable risks based on actual data on policyholders’ driving habits, lifestyles, property conditions, and workplace safety.
Policy personalization
With reliable data on hand, insurance companies can personalize policies for specific customers and customer groups, such as offering cheaper premiums for low-risk policyholders and providing additional discounts and rewards for adhering to safe behaviors and proactively managing risks.
Claims processing automation
IoT in insurance accelerates claims intake and investigation, automatically detecting and reporting accidents and assisting insurers with claim verification and payout amount determination.
Loss prevention
IoT in insurance enables continuous monitoring of property, health, and environmental conditions, alerting users to the possibility of an accident, preventing serious damage, and saving insurance carriers money on high-cost compensations.
Fraud detection
By assisting insurers with spotting suspicious data discrepancies, IoT data helps prevent fraud, such as staged collisions and overstated injury claims.
Prominent real-life applications of IoT
Shopping with Amazon Go
Amazon owns multiple retail stores across the US that offer a ‘grab-and-go’ shopping model. Customers are supposed to enter the shop, put the goods in their bags, and simply walk out. The technology, powered by computer vision, deep learning, and IoT, will automatically add products to the customer’s virtual cart in the Amazon app and charge them as soon as they finish shopping and exit the store.
Drone-based delivery from Walmart
Walmart offers delivery by drone in a range of US cities, promising order arrival within 30 minutes. As soon as a customer places an order, it is packed and attached to the drone. The drone uses a cable to safely deliver the order to the customer’s yard. It is important to note that certified pilots manage Walmart drones following FAA guidelines.
Video title: Walmart drone delivery
Video source: corporate.walmart.com — We’re Bringing the Convenience of Drone Delivery to 4 Million U.S. Households
in Partnership with DroneUp
LG smart appliances
A renowned consumer electronics manufacturer, LG offers its customers numerous smart home devices controlled with a highly interactive LG ThinQ application and Alexa or Google Assistant. Refrigerators, laundry machines, air conditioners, and vacuum cleaners are all equipped with advanced features like voice control and machine learning capabilities enabling smart appliances to learn homeowners' habits and suggest recipes or cleaning modes.
Self-driving taxis by Waymo
In 2020, Waymo One launched the first in the world self-driving taxi without a safety driver in the front seat in the Phoenix Metropolitan Area, and later in 2022, the company expanded the service to certain areas of San Francisco. Driverless taxis offer greater privacy and allow passengers to listen to their favorite music or adjust the indoor temperature to their comfort. The technology behind self-driving functionality is fuelled by LiDAR, cameras, and radar sensors, along with transportation AI and ML solutions. The technology behind self-driving capabilities is fuelled by LiDAR, cameras, and radar sensors, along with artificial intelligence and machine learning algorithms.
Caterpillar MineStar
MineStar refers to a range of smart products from Caterpillar, a worldwide construction and mining equipment producer. Cat MineStar solutions allow mining corporations to automate operations, remotely control machinery, and gain instant insights into equipment health. MineStar technology also facilitates personnel safety with real-time operator visibility, incident reporting, and equipment location tracking.
Smart irrigation for Deep Sky Vineyard
Deep Sky, a vineyard based in the US, collaborated with a Google Cloud Technology Partner company to build an IoT platform for managing their vine harvest. IoT sensors collect data on water consumed by the vines in real time. Then, the Google Cloud Analytics platform analyzes the information and provides Deep Sky Vineyard with a clear view of its vineyard's microclimate. The platform can also send water requests to smart irrigation devices across the vineyard. This way, Deep Sky Vineyard can significantly optimize water consumption and prevent grapevine shriveling and bunch rot.
Self-checkout from Mashgin
A US startup Mashgin offers self-checkout solutions that require no barcodes or RFID. Instead, Mashgin self-checkout systems use cameras and computer vision to create 3D models of products and distinguish between them, providing for ten times faster product identification compared to traditional cashiers.
Eversense glucose monitoring system
Eversense offers a continuous glucose monitoring solution for people with Type 1 and 2 diabetes. The technology measures glucose levels every 5 minutes and transmits the data to the mobile application, where patients can monitor their glucose level trends. If blood sugar gets too high or too low, a user gets vibration alerts from the smart transmitter in the upper arm. This way, Eversense CGM makes the day-to-day lives of patients more comfortable and helps them get more control over their health.
Looking to adopt an IoT solution for your business?
IoT statistics for 2026 & beyond
IoT market state & growth trends by use cases
| The global Internet of Things (IoT) annual revenue is estimated at around $471.3 bn in 2026 and is predicted to almost double by 2034, reaching a revenue of $908 bn. | |
|---|---|
| The global Internet of Things platforms market size is predicted to increase from $18.23 billion in 2026 to $49.17 billion by 2034 at a CAGR of 13.20% during the forecast period. | |
| In 2026, the largest IoT revenue share would be generated by connected vehicle technologies, accounting for $106.1 bn. Payment terminals are expected to bring $56.9 bn of revenue, while asset tracking and monitoring systems and inventory management and monitoring - key industrial IoT use cases - accounted for $17.9 bn and $11.3 bn, respectively. | |
| In 2025, manufacturing remained the dominant IoT industry, while healthcare was the fastest-growing vertical. |
USD billion
Scheme title: IoT total annual revenue worldwide from 2025 to 2034 (in billion US dollars)
Data source: Statista
Scheme title: Internet of Things (IoT) annual revenue worldwide from 2023 to 2034, by use case (in billion
US dollars)
Data source: Statista
| The total number of connected IoT devices globally is projected to almost double from 22 billion in 2026 to more than 40.6 billion devices in 2034. |
|---|
USD billion
Scheme title: Number of IoT-connected devices worldwide in 2024 with forecasts to 2034
Data source: Statista
Scheme title: Number of IoT devices worldwide from 2023 to 2034, by vertical
Data source: Statista
Scheme title: Regional market growth forecast (2025-2030)
Data source: MarketsandMarkets
IoT implementation drivers & challenges
| More than 50% of surveyed organizations, particularly those operating in manufacturing and warehousing, cite efficiency and productivity improvements as the primary drivers of both initial and ongoing IoT investments. | |
|---|---|
| 98% of businesses surveyed expect tangible benefits from their IoT deployments within two years, with the majority anticipating returns in less than 12 months. | |
| 43% of respondents consider ensuring data, network, and device security to be the biggest challenge to IoT adoption. |
Scheme title: IoT implementation challenges
Data source: Verizon
Factors influencing IoT adoption
Positive and negative factors affecting the at-scale adoption of IoT vary from industry to industry. Still, McKinsey managed to single out universal headwinds and challenges companies face when implementing enterprise IoT.
Scheme title: Factors influencing IoT integration
Data source: mckinsey.com - The Internet of Things: Catching up to an accelerating opportunity
Tailwinds accelerating the adoption of IoT
Perceived value proposition
Based on successful real-life examples of IoT implementation, future IoT adopters believe that the value provided by the IoT is worth the investment.
Technology performance
Recent technological advancements in IoT sensors’ accuracy, AI and ML, and AR/VR facilitate the emergence of more IoT use cases and enable smarter data-driven insights.
Connectivity
The popularization of 5G connection and improved network protocols provide companies with improved network capacity, speed, latency, and reliability, promising greater performance and security.
Headwinds complicating IoT adoption
Change management
Many organizations treat IoT implementation as a solely IT project instead of a company-wide organizational and cultural transformation.
Interoperability
It can be challenging to smoothly integrate all elements of IoT systems with each other and have them freely exchange data as they can employ different communication protocols.
Installation
As a rule, establishing secure connectivity between the existing IT ecosystem and the new IoT solution can turn out complex and time-consuming, which discourages companies from at-scale IoT adoption.
Cybersecurity
The growing number of endpoints significantly expands the attack surface and drives the need for strong cybersecurity protection at every level of the IoT ecosystem.
Talent
To implement scalable, cost-effective, and easy to maintain IoT solutions, a team of qualified technical talent is a must, which can be a problem for many organizations.
Privacy & confidentiality
Fast and wide IoT adoption can be stalled by the need to safeguard confidential consumer IoT data, regulated by the Consumer Privacy Act in California and GDPR in Europe.
IoT implementation: five best practices
Integrating an IoT system into business processes requires a comprehensive strategy and a well-defined approach. The following best practices can help ensure a successful IoT implementation.
| 1 Set clear objectives | An IoT implementation project typically requires considerable time and money investments. So as not to waste resources, businesses should clearly define the project’s goals and improvements that the future IoT system should bring. For example, logistics companies can consider adopting an IoT solution to enhance fleet management and increase revenue, while healthcare organizations can implement IoT to provide better patient care and improve facility management. |
|---|---|
| 2 Ensure interoperability & compatibility of IoT devices | IoT devices equipped with sensors are the primary points of contact with the target environment that gather critical data for future analysis. That is why, when planning IoT architecture, ensure that devices are compatible with the existing infrastructure to gather and transmit data seamlessly or consider adapting appropriate data integration protocols to mitigate the lack of interoperability. Interoperable devices should be able to communicate using APIs or protocols like MQTT, CoAP, or HTTP. Adopting a modern IoT platform can also facilitate device interoperability as the solution will serve as a mediator and translator between IoT devices' different protocols |
| 3 Select powerful IoT data analytics tools | IoT analytics tools are the brains of IoT solutions providing companies with meaningful insights into their business operations. Modern IoT analytics platforms, fuelled with ML and AI capabilities, can process data in near real-time, increasing the accuracy of the analysis and minimizing the possibility of human bias or mistakes. |
| 4 Don’t neglect security | Integrating an IoT solution into the company’s infrastructure significantly expands the organization’s threat surface. When an IoT environment isn’t properly secured, cybercriminals can access sensitive data or trade secrets and also utilize unprotected devices to tamper with other elements of the organization's infrastructure. To ensure the safety of your business data, establish strong security policies that include measures for the physical protection of IoT devices, regular firmware and software updates, network protection and access control mechanisms, multi-factor authentication, proper management of legacy systems, and real-time security monitoring. |
| 5 Adopt a consistent change management strategy | To ensure the success of your IoT implementation initiative and make the adoption process smoother, turn to providers of IoT consulting services to create and implement a feasible change management strategy. They can help you communicate the importance of IoT for the organization, organize and hold training sessions for those employees who will be working day-to-day with the new solution, and, based on employees’ feedback on the IoT system, help optimize end-users’ experience. |
Start your digital transformation with IoT
IoT is a fast-growing technology that offers transformation opportunities to companies of all sizes. By taking a proper approach to IoT implementation and eliminating all potential obstacles, businesses can unlock the benefits of IoT solutions and achieve real-time visibility into business processes, increase their operational efficiency, reduce operating costs, and get a wider range of data-driven predictive and prescriptive insights.
If you’re looking for a technology partner to bring your IoT solution to life, turn to Itransition experts for professional IoT implementation services.
FAQs
Traditionally, the four main types of IoT include:
- Consumer IoT encompasses wearables and smart home devices, such as smart thermostats, wearable fitness trackers, and home security cameras, deployed to help users automate tasks, enhance everyday convenience, and support health monitoring.
- Commercial IoT includes devices widely used in retail, healthcare, and office environments to improve customer experience and operational efficiency. Connected medical devices, payment terminals, and IoT-powered inventory tracking systems help increase efficiency, reduce costs, and enhance customer satisfaction.
- Industrial IoT supports such use cases as predictive maintenance in factories, IoT-driven supply chain management, and smart logistics, and helps manufacturing, logistics, and energy sectors boost productivity, lower maintenance costs, and enhance workplace safety.
- Infrastructure IoT supports public services and urban development through smart technologies that improve energy efficiency, traffic management, and public safety.
The Five C’s framework defines the core principles for designing and governing an IoT system. It helps companies assess their IoT maturity, design efficient IoT architectures, manage risks, and ensure reliable, secure, and compliant IoT deployments.
- Connectivity, which focuses on data acquisition and secure device-to-network communication
- Continuity, which ensures uninterrupted operation, resilience, and long-term system availability
- Compliance, which addresses adherence to regional and industry-specific requirements
- Coexistence, which ensures that devices work correctly and efficiently without interfering with one another
- Cybersecurity, which protects devices, data, and communications across the entire IoT lifecycle
For many companies, IoT strategy becomes a core enabler of corporate sustainability initiatives. IoT solutions provide businesses with real-time visibility into their operations, resource consumption, and environmental impact, in addition to facilitating predictive analytics, which helps shift from reactive to proactive sustainability management. By enabling data-driven optimization, IoT supports measurable reductions in companies’ energy use, emissions, and waste while improving their operational efficiency and regulatory compliance.
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