Industrial Internet of Things

Bring machines, cloud computing, analytics, and people together to improve productivity and efficiency

What is the Industrial Internet of Things?

The Internet of Things (IoT) emerged from the convergence of different technology trends. Thanks to broadband Internet becoming more widely available, the decreasing cost of connectivity, and more devices with Wi-Fi and sensors built in, industrial companies can create smart machines, equipment, service vehicles, processes and more.  

Industrial IoT (IIoT) bridges the gap between legacy industrial equipment and infrastructure and new technologies such as machine learning, cloud, mobile, and edge computing. IIoT helps customers optimize industrial operations and increase productivity and efficiency. Customers use IIoT applications for predictive quality and maintenance and to remotely monitor their operations from anywhere.  

What is AWS IoT?

Industrial IoT Use Cases

Predictive Quality
Predictive quality analytics extracts actionable insights from industrial data sources such as manufacturing equipment, environmental conditions, and human observations. Predictive quality analytics applies statistical algorithms such as machine learning to determine patterns and predict future outcomes and trends. The goal of predictive quality analytics is to determine actions such as adjusting machine settings, using different sources of raw materials, or doing additional worker training that will improve the quality of the factory output. Using AWS IoT software and services, industrial manufacturers can build predictive quality models using data from all the devices on their factory floors such as rotors, valves, conveyors, and robotics. As a result, you can quickly spot quality issues before they cascade down the production process for improved yield and minimized scrap. Higher quality products will allow you to increase customer satisfaction and reduce product recalls.

Predictive Quality
Predictive Maintenance

Predictive Maintenance
Predictive maintenance analytics captures the state of industrial equipment so you can identify potential breakdowns before they impact production. Not only can production outages cost millions of dollars, but replacing broken equipment can costs tens of thousands of dollars in extra expenses. With AWS IoT, you can continuously monitor and infer equipment status, health, and performance to detect issues in real-time. Knowing when equipment needs attention helps you plan maintenance work, keep the right inventory of spare parts, and avoid unplanned outages. When organizations use predictive maintenance analytics, equipment lasts longer, worker safety increases, and the supply chain is optimized.

Asset Condition Monitoring
Asset condition monitoring captures the state of your machines and equipment so you can understand how the asset is performing in the field or on the factory floor. Typically data such as temperature, vibration, and error codes indicate if the equipment usage is optimal but it’s hard to capture this manually since technicians need to physically inspect equipment and machines. Sending device health indicators to the cloud lets operations staff know where capacity is under or over used without sending people to do physical inspections. With AWS IoT, you can capture all IoT data and monitor performance and health of equipment, machines, and vehicles. With increased visibility into your assets, you can maximize asset utilization and fully exploit your investment in machines and equipment.

Asset Condition Monitoring

AWS Provides Services for Industrial Applications

AWS IoT helps industrial customers increase operational efficiency, create net-new revenue streams, and make industrial equipment, processes, and customers smarter. AWS IoT services enable industrial companies of any size and industry such as mining, energy and utilities, manufacturing, commercial agriculture, and oil and gas to reason on top of industrial operational data using machine learning models. AWS IoT services enable easy interaction and analysis with data from industrial sources including operational technology systems, vision inspection systems, assets, machines, sensors, vehicles, and safety equipment. Machine learning models built using AWS IoT can run in the cloud or directly on industrial equipment so the equipment can respond to local events and take smart actions.

AWS IoT provides edge services such as Amazon FreeRTOS and AWS Greengrass, cloud services such as AWS IoT Core, AWS IoT Device Management, and AWS IoT Device Defender, and analytics services such as AWS IoT Analytics.

Why AWS IoT for Industrial Applications

Take Intelligent Actions

AWS IoT helps you add machine learning to your industrial environments. First, AWS IoT filters, transforms, and enriches IoT data before storing it in a time-series data store for querying and analysis. You can also build and train machine learning models in the cloud and then deploy them into your industrial environment to operate locally. AWS IoT provides pre-built machine learning models against the processed data, covering common industrial use cases.

Quickly Onboard Your Fleet

AWS IoT provides capabilities for getting large and diverse fleets of devices quickly connected. AWS IoT helps you onboard millions of new device types. You can maintain an inventory of devices complete with static and dynamic state information such as serial numbers, manufacturing date, or current temperature so you know the state of your devices every second. AWS IoT allows you to monitor your devices to quickly diagnose and troubleshoot any issues and remotely manage devices deployed across many locations.

Minimize Production Downtime

When production lines go down or field operations stall, you miss service level agreements and risk revenue loss. Using AWS IoT, devices can collect data, communicate with each other, and take local actions even with intermittent cloud connectivity. Once connectivity is restored, devices send data to the cloud for additional processing and analytics. You get the best of both worlds: fast, timely action locally and secure management, analytics, and durable storage in the cloud.

Help Keep Data and Devices Secure

AWS IoT helps keep devices and device data secure with built-in device authentication and authorization, data encryption, and access control to device data. You can also continuously audit security policies associated with your devices, monitor your device fleet for abnormal behavior, and receive alerts if something doesn’t look right. You can even take corrective actions, such as pushing a security patch to your device fleet.

How It Works

How It Works

Customer References


“Our industry-leading dispensers allow us to deliver solutions to customers, not just sell products. Now we are focused on making our dispensers ‘smart’ by adding sensors and connectivity that allow us to improve the customer experience by providing real time information about product levels and other statistics. With thousands of endpoints continuously feeding in data, we are using AWS IoT Analytics to enrich messages with location and product metadata in order to calculate platform health and value to our customers. ”

- Erik Cordsen, IoT Program Architect and Product Leader


"AWS has been a force-multiplier for Teralytic. We have a network of soil-sensing IoT devices from which data are collected, fed, and analyzed for us to understand the health of our customers' agricultural ecosystems. We chose AWS IoT Analytics for its ability to filter outlier readings from our calculations and proactively detect issues as they arise so we can resolve them faster. In most cases, we're able to identify and prevent issues before they result in service interruptions for our customers. Within IoT Analytics, we can utilize our Machine Learning models to help detect situations where nutrients are at risk of leeching into ground water or be at risk of runoff into surface water. In addition to the environmental benefits, detecting nutrient levels by depth at key decision points in the growing season can reduce a farmer's costs as well as potentially increasing their yield."

- Dan Casson, VP of Engineering  


“By combining AWS IoT services with our industrial edge stack, we are able to deliver outcomes to our customers at an unprecedented pace and scale. Together, we are able to provide a world class solution across a broad range of devices that enables real-time analytics & controls along with fleet level asset optimization.”

- Brent Brunell, Director of Edge Controls  

GE Presents at the AWS Summit in New York City

Watch an AWS IoT Principal Solutions Architect and General Electric present at the AWS Summit in New York City. The presentation first explores features and functions of AWS IoT services, and then dives into how GE uses AWS IoT for several industrial use cases including 3D printing and aviation. Come away understanding how AWS IoT is used to transform industrial processes at GE.

Blog Posts and Articles

Learn more about AWS IoT

Visit the AWS IoT overview page
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