Top 28 IoT Applications/Use Cases of 2020: In-Depth Guide

Internet of Things (IoT) applications are becoming more widespread. According to Mckinsey, the percentage of businesses that IoT technology has increased from 13% to 25% between 2014 and 2019. 

IoT enables a myriad of different business applications. Knowing those applications can help businesses integrate IoT technologies into their future investment decisions. That is why we set out to create the most comprehensive library of IoT use cases.

The image below shows the potential impact of IoT technologies in various industries in 2025. Read more


IoT platforms of 2020: In-depth guide on platform capabilities

IoT platforms facilitate scalable deployment of IoT sensors as they provide a platform for securely managing and analyzing their IoT devices and data. Important features of an IoT platform include data management, analytics, application development, interoperability, device management and security.

What is an IoT platform?

IoT platforms are middleware that integrates applications and hardware while providing an environment for data analytics. These platforms transfer information between two IoT layers: hardware and applications. They transmit data from a variety of hardware to the cloud to make it useful for applications while transferring commands from applications to hardware. Read more


Edge Analytics in 2020: Guide to intelligent IoT applications

Data and insights are valuable assets for any company with data driven decision making permeating every aspect of our lives. 

Historically, businesses collected data from different IoT devices and sensors, gathered them in a central point such as a data lake or data warehouse and performed analysis to gain insights. What if organizations can remove the step of data centralization/integration and skip to the analysis phase? This approach is called “edge analytics” and enables organizations to achieve Read more


IoT Analytics in 2020: An In-depth Guide

By 2020, it is expected that there will be between 20 and 30 million IoT units in the marketplace, according to a study conducted by Gartner. With this much data being collected, the need for a way to analyze it grows exponentially. Many of the enterprise applications for IoT analytics, such as in manufacturing, finance, telecom, healthcare, and others have unlimited potential when data is managed and analyzed correctly.

To meet this need, IoT analytics has emerged as the broader category of uses and applications designed to help analyze the data obtained by IoT sensors. Once this data has been properly analyzed it can then be used to help make better, data-driven decisions for organizations that are in search of a competitive edge.