What the IoT Needs is a Data Layer

The Internet of Things (IoT) market is growing exponentially, with an estimated size of $1.7 trillion by 2019, driven primarily by the increasing demand for data management solutions. The IoT generates vast amounts of time-series data that requires specialized data management tools to handle its high volume and real-time processing needs. Traditional relational databases are not designed to handle the unique characteristics of IoT sensor data, which is typically generated in real-time and does not follow traditional CRUD data model patterns. As a result, the market for IoT data management solutions is expected to reach $69.7 billion by 2023, with companies like InfluxData, IBM, and PTC leading the charge. The key to unlocking the value of connected devices lies in developing a robust data layer that can efficiently collect, process, analyze, and act upon IoT sensor data, making it easier for businesses to predict, optimize, and improve their operations.

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