Demystifying IIoT – 10 Applications and Use Cases across Industries

The Industrial Internet of Things (IIoT) is a revolutionary technology that has secured its place in various industries. This transformative technology revolutionizes different sectors by connecting machines, devices, and sensors to collect, analyze, and exchange data. The applications of IIoT provide numerous benefits and create new opportunities for businesses to optimize operations, enhance productivity, and drive innovation across industries.

Experts predict a thriving future of IIoT technology, crossing the global market value of $3.3 trillion by 2030. This growth is driven by several factors, including the rapid adoption of cloud computing platforms, technological advancements in semiconductor and electronic devices, standardization of IPv6, and so on.

In today’s fast-paced digital era, all-sized businesses worldwide are increasingly adopting IIoT to track equipment performance, optimize logistics, predict machine failures, improve product quality, enhance employee safety, gain valuable insights, and more. They are the driving force behind the rapid adoption of Industry 5.0, the fifth industrial revolution that defines the next level of automation and secure data exchange in the manufacturing sector.

Let’s delve deeper into the world of IIoT, discussing its various applications and use cases across industries. We will also discover some real-world examples of IIoT in this blog.

Understanding IIoT Technology

Before delving into specific applications and use cases of IIoT, it is essential to understand its essence. IIoT refers to the network of interconnected devices, sensors, and systems in industrial settings, which leads to smarter decision-making and operational efficiency.

When run by a modern ERP with artificial intelligence (AI) and machine learning (ML) capabilities, businesses can analyze and leverage the data generated by IIoT solutions to improve visibility, productivity, efficiency, and more. IIoT standards generally facilitate machine-to-machine (M2M) communication and the consistent transmission of data between the central system and all devices integrated with IIoT technology.

In short, IIoT is a term used to define the applications of the Internet of Things (IoT) in industrial settings, enabling real-time data monitoring, predictive analytics, and remote management.

Also Read: Enterprise IoT – Benefits, Use Cases, and Real Examples

IoT vs IIoT

IoT is a broader term that encompasses a vast network of interconnected devices, spanning from household appliances and vehicles to various gadgets, all communicating and sharing data over the internet. Its applications range widely, from wearable gadgets and connected cars to smart homes and even the concept of smart cities.

IIoT is a subset of IoT specifically tailored for industrial applications. Its primary focus lies in optimizing industrial operations and processes through data-driven insights. IIoT technology mainly focuses on automation in a connected organizational ecosystem, enhancing efficiency, quality, productivity, and safety in various industries, like manufacturing, energy, and transportation.

While IoT and IIoT are driven by the same core technologies, such as sensors, connectivity, and data analytics, the fundamental disparity lies in their applications and advantages. IoT enriches our daily lives by introducing intelligence to our homes, cities, and devices, while IIoT revolutionizes entire industries, reshaping how businesses function and compete.

Here is a brief table highlighting the key differences between IoT and IIoT.

Applications and Use Cases of IIoT in Different Industries

IIoT is used in a wide range of industrial settings, from agriculture to energy management, manufacturing to automotive, healthcare to transportation, cybersecurity to construction, and beyond. They are a vital part of a bigger system that focuses on objects and devices used in businesses, creating a more profitable, efficient, and smarter industrial operation. Let’s explore the industrial applications of IIoT in various industries.

IIoT in Manufacturing

IIoT in manufacturing revolutionizes processes by enabling predictive maintenance, real-time monitoring, and automation. Manufacturers can deploy IIoT sensors and analytics platforms to monitor equipment health, detect anomalies, and predict potential failures before they occur. This proactive approach to maintenance minimizes downtime, reduces maintenance costs, and improves overall equipment reliability.

Additionally, IIoT-enabled automation systems streamline production processes, increase efficiency, and enable mass customization to meet evolving customer demands. As per a report, the biggest part of IIoT, approximately 34%, is used by the manufacturing sector.

IIoT in Healthcare

IIoT in healthcare revolutionizes the industry by facilitating remote patient monitoring and improving operational efficiency in hospitals. For instance, hospitals use IIoT-enabled wearable devices to monitor patients’ symptoms remotely. It empowers healthcare providers to detect early signs of diseases and provide timely interventions, reducing hospital readmissions and improving patient outcomes. Also, hospitals leverage IIoT for asset tracking and management, ensuring medical equipment is properly maintained and readily available when needed.

Also Read: Understanding the Impact of IoT in Healthcare

IIoT in Retail and Supply Chain

Applications of IIoT in the retail sector help optimize supply chain operations and transform the customer experience. Retailers use IIoT-enabled devices such as beacons and RFID tags to track inventory levels, monitor product movement, and optimize store layouts for improved customer engagement and sales.

Furthermore, IIoT solutions can be deployed in warehouses and distribution centers to automate inventory management, optimize picking and packing processes, and ensure timely delivery of goods to customers. It enhances the overall efficiency of supply chain management and customer satisfaction.

Also Read: IoT in Retail – Use Cases, Challenges, Process and Costs

IIoT in Smart Agriculture

In agriculture, applications of IIoT redefine traditional farming practices by enabling precision agriculture and smart farming techniques. Farmers can utilize IIoT sensors and drones to monitor soil moisture levels, crop health, and environmental conditions in real-time. This data-driven approach empowers farmers to optimize irrigation schedules, minimize water usage, and maximize crop yields. Additionally, IIoT solutions can be used for livestock monitoring, helping farmers track animal behavior, health, and feeding patterns to improve the overall wellbeing of animals and farm productivity.

You may like reading: Impact of IoT in the Agriculture Industry

IIoT in Energy and Utilities

The energy and utilities sector uses IIoT to optimize energy production, distribution, and consumption. For example, utility companies deploy smart meters and sensors to monitor energy usage in real-time, enabling consumers to track their energy consumption and make informed decisions to reduce costs and conserve energy. Further, IIoT-enabled smart grids use sensors, data analytics, and connectivity to detect and respond to power outages and grid disturbances more quickly, ensuring an uninterrupted energy supply for consumers.

Accordingly, several energy companies are increasingly leveraging IIoT solutions to analyze data from wind turbines, optimize turbine performance, minimize maintenance costs, and increase energy output.

You may like reading: IoT in the Oil and Gas Industry – Applications, Challenges and Solutions

IIoT in Cybersecurity

In the realm of cybersecurity, IIoT plays an increasingly critical role in protecting industrial systems and networks from cyber threats. IIoT enables continuous monitoring of network activity, anomaly detection, and rapid incident response, reinforcing the cybersecurity of industrial organizations.

For instance, companies worldwide deploy IIoT sensors and analytics platforms to monitor network traffic, identify suspicious behavior, and detect the likelihood of potential cyber threats. Also, IIoT enables secure device authentication, encryption of data transmissions, and access control mechanisms to protect sensitive information and prevent unauthorized access to industrial assets.

IIoT in Transportation and Logistics

IIoT is rapidly revolutionizing the transportation and logistics industry by enabling real-time tracking, predictive maintenance, and smart logistics. Using IIoT devices, companies can monitor vehicles, track shipments, and optimize routes based on traffic and weather conditions. This leads to reduced costs, improved operational efficiency, and enhanced customer service.

For instance, logistics companies can implement IIoT to track fleets of trucks in real time, enabling predictive maintenance, improved route planning, and optimized fuel consumption. It results in improved service delivery and significant cost savings.

Also Read: IoT in Supply Chain and Logistics – Benefits, Use Cases & Challenges

IIoT in Automotive

In the automotive sector, IIoT helps redefine production processes by enhancing efficiency, quality control, and predictive maintenance, improving vehicle performance and reducing costs.

IIoT sensors embedded within manufacturing equipment and production lines collect real-time data on machine performance, production rates, and quality metrics. This data is then analyzed to optimize production schedules, identify inefficiencies, and detect defects early in the manufacturing process.

Additionally, IIoT-enabled predictive maintenance helps optimize vehicle maintenance strategies by shifting from reactive to proactive strategies. IIoT systems can monitor several components in real-time, such as engine performance, tire pressure, and brake wear, detecting early signs of component failures. It helps managers schedule proactive repairs or replacements before a breakdown occurs. This approach minimizes unplanned downtime, reduces repair costs, and improves vehicle safety.

Also, automotive industries use IIoT-enabled autonomous vehicles for logistics management and goods delivery within their premises. These self-driving smart vehicles are equipped with many smart sensors that help them continuously detect traffic congestions along their path, communicate with the control station, and make deviations to reach their destination safely and quickly.

Also Read: Automotive IoT: Benefits, Applications, and Real Examples

IIoT in Construction

Construction companies utilize IIoT sensors and telematics solutions to monitor equipment usage, track asset location, and schedule maintenance more efficiently. This real-time visibility into equipment availability and performance allows construction managers to optimize resource allocation, minimize downtime, and reduce equipment theft and misuse.

Besides, IIoT-enabled wearable devices and sensors enhance worker safety by monitoring vital signs, detecting hazardous conditions, and providing real-time alerts to prevent accidents and injuries on construction sites.

IIoT in Food and Beverage

IIoT in the food and beverage industry helps enhance food safety, quality control, and supply chain management. IIoT sensors and devices monitor various aspects of food production and distribution, such as temperature, humidity, and storage conditions, ensuring compliance with food safety regulations and reducing the risk of contamination.

Additionally, IIoT-enabled supply chain solutions improve inventory management, traceability, and transparency, enabling companies to optimize production processes, reduce waste, and deliver fresher and safer products to consumers.

Challenges and Solutions for IIoT Applications

The applications and use cases of IIoT are not without risks and challenges. These include issues around connectivity, data security, compliances, and privacy. However, every challenge has its potential solution. Let’s discuss challenges and solutions for IIoT applications in detail:

Security and Privacy

Challenge: IIoT systems are vulnerable to cyber-attacks and data breaches, posing risks to sensitive information and operational integrity.

Solution: Implement robust cybersecurity measures, including encryption, multi-factor authentication, access controls, and regular security audits.

Data Management and Analytics

Challenge: Managing and analyzing large volumes of data generated by IIoT devices are resource-intensive and pose a significant challenge.

Solution: To address this challenge effectively, businesses should invest in advanced data analytics tools and scalable data storage solutions to process and analyze IIoT data in real-time.

Scalability and Integration

Challenge: Scaling IIoT deployments across multiple locations and integrating with existing legacy systems can be complex and time-consuming.

Solution: Design IIoT solutions with scalability in mind, utilizing modular architectures and standardized interfaces to facilitate seamless integration with existing systems.

Also Read: HealthTech Resurrection: A Guide to Modernizing Legacy Systems in Healthcare

Regulatory Compliance

Challenge: Adhering to industry-specific regulations and compliance requirements, such as GDPR or HIPAA, can pose a major challenge for IIoT implementations.

Solution: Ensure that IIoT solutions comply with relevant standards and data governance policies to ensure compliance with industry specific regulatory requirements.

You may like reading: IT/OT convergence – Benefits, Use Cases, Examples and Challenges

Real-Life Examples of IIoT Applications

Many companies across industries have successfully adopted IIoT architecture and are reaping the benefits of IIoT to make their business better. Here are some real-life business examples of IIoT applications across various industries:

Fanuc Corporation: Predictive Analytics

Fanuc Corporation, a leading manufacturer of industrial robots and automation solutions, utilizes IIoT technology to implement predictive analytics to maintain its robotic systems. Thai adoption helps the company anticipate potential equipment failures before they occur, enabling proactive maintenance interventions to prevent unplanned downtime and optimize production efficiency.

Philips Healthcare: Remote Patient Monitoring

Philips Healthcare offers a range of IIoT-enabled medical devices for remote patient monitoring. Their HealthSuite platform integrates data from wearable sensors, medical devices, and electronic health records to provide healthcare providers with real-time insights into patients’ health status and adherence to treatment plans, enabling proactive interventions and personalized care.

Airbus: Smart Factory

Airbus, a global aerospace manufacturer, has embraced IIoT to create smart factories that leverage automation, connectivity, and data analytics to optimize manufacturing processes. By transforming its manufacturing facilities into smart factories, Airbus aims to enhance operational efficiency, reduce costs, and accelerate time-to-market for its aircraft and aerospace products.

Schneider Electric: Energy Management

Schneider Electric, a multinational company specializing in energy management and digital automation, offers IIoT-enabled smart grid solutions for utilities to reduce costs and enhance customer satisfaction. Their EcoStruxure platform collects data from sensors, meters, and grid infrastructure to optimize energy distribution, monitor power quality, and detect and respond to grid disturbances in real-time.

John Deere: Self-Driving Vehicles

John Deere is a manufacturer of heavy equipment, including diesel engines, agricultural machinery, lawn care equipment, and more. John Deere’s self-driving tractors and agricultural machinery are equipped with IIoT sensors, GPS technology, and advanced automation systems that enable autonomous operation across its facilities.

DHL: Asset Tracking and Management

DHL, a global logistics company, employs IIoT-enabled tracking devices to monitor the location and condition of packages and shipments in transit. By leveraging real-time data on shipment status, temperature, and humidity, DHL can ensure the timely delivery of goods while minimizing losses and delays in the supply chain.

Simplify IIoT Connectivity with Appinventiv

Industrial IIoT can unlock immense opportunities for businesses across a multitude of industries. As the adoption of IIoT technology continues to increase, it is poised to be a new norm in the industrial sector. So, if you are also contemplating adopting this technology for your business automation, get in touch with our tech evangelists for expert guidance and support.

We provide IIoT app development services that help businesses scale and grow using digital technology. Our team of 1500+ tech professionals is competent at assisting companies in navigating the world of IIoT, from strategy development to deployment and beyond.

Whether you are looking to optimize manufacturing processes, improve supply chain management, enhance asset tracking and maintenance, optimize inventory management, or beyond, we are your trusted tech partner to avail IIoT services. Contact us today to explore how our IIoT software development solutions and IIoT services can help you unlock the full potential of technology and drive sustainable growth in the digital age.

FAQs

Q. What are the advantages of the Industrial Internet of Things?

A. There are several benefits of IIoT for businesses that help them achieve operational excellence, drive innovation, and gain competitive advantages in a rapidly evolving digital landscape. Some of the remarkable benefits of IIoT include:

Enhanced Operational Efficiency: Applications of IIoT allow real-time monitoring and optimization of industrial processes, leading to increased efficiency and reduced downtime.

Predictive Maintenance: IIoT sensors collect data on equipment performance, enabling predictive maintenance to identify potential issues before they result in costly breakdowns.

Improved Productivity: IIoT-driven automation and optimization streamline workflows, boost productivity, and enable more agile decision-making.

Cost Reduction: The technology helps reduce operational costs through optimized energy consumption, improved resource utilization, and predictive maintenance, leading to overall cost savings.

Enhanced Safety: IIoT applications such as remote monitoring and wearables improve workplace safety by detecting hazards, ensuring compliance with safety regulations, and improving workers’ safety.

Data-Driven Insights: IIoT solutions generate vast troves of data that businesses can analyze to gain actionable insights, optimize processes, and drive innovation.

Sustainable Practices: IIoT facilitates resource optimization, waste reduction, and energy efficiency, reducing environmental impact and supporting sustainability goals.

Q. What are the key technologies in IIoT architecture?

A. There are several technologies that work together to form the foundation of IIoT architecture, enabling the development of scalable, secure, and interoperable solutions for industrial applications. Key technologies in IIoT architecture include

Sensors and Actuators: Sensors gather data from the physical environment, while actuators enable the system to interact with physical objects.

Connectivity: Connectivity technologies such as cellular networks, Wi-Fi, Bluetooth, and Zigbee enable communication between devices and systems in the IIoT ecosystem.

Edge Computing: Edge computing brings computation and data storage closer to the data source, reducing latency and bandwidth usage.

Cloud Computing: Cloud computing provides scalable storage and processing capabilities for handling large volumes of IIoT data.

Data Analytics and Artificial Intelligence: AI and data analytics technologies are used to derive actionable insights from IIoT data.

Security Technologies:  Security technologies such as encryption, authentication, access control, and intrusion detection systems are vital to ensure the integrity and confidentiality of IIoT systems.

Protocols and Standards: Protocols and standards define how devices communicate and exchange data in IIoT networks.

Q. What is the cost to build an IIoT solution?

A. The cost to build an IIoT solution can vary significantly depending on various factors, such as the project’s complexity, the scale of deployment, and the specific business niche and requirements.

Generally, the cost to develop IIoT solutions includes expenses related to hardware (sensors, devices, gateways), IIoT software development, connectivity infrastructure, data analytics tools, and ongoing maintenance and support. Furthermore, other vital factors like integration of security measures, feature list, scalability requirements, regulatory compliance, and any customization or integration with existing systems also influence the cost.

On average, a basic IIoT-powered app with limited functionalities can range between $30,000 to $100,000. For a more complex project involving integration with existing systems, customization and scalability, the development cost may go around $100,000 to $300,000 or more.

To get a more precise estimate for IIoT app development cost and timeline, discuss your project idea with our efficient IIoT developers.

THE AUTHOR

Sudeep Srivastava

Co-Founder and Director