Edge Analytics Market: Current Analysis and Forecast (2022-2028)
Edge analytics is a method of gathering and analysing data that involves automatic analytical calculation on data collected by a sensor, network switch, or other device as opposed to waiting for the data to be sent back to a centralised data storage.
The edge analytics market is expected to grow at a steady rate of around 24% owing to the increasing internet penetration. The growth of the edge analytics market is being driven by several factors. One of the primary reasons is the increasing amount of data being generated by the proliferation of the Internet of Things (IoT) and other digital technologies. For instance, according to comptia, global IoT spending is expected to hit USD 1.2 trillion in 2022. As more and more devices become connected to the internet, they generate large amounts of data that can be analyzed in real-time at the edge of the network. Moreover, edge analytics allows organizations to process and analyze this data at the point of origin, reducing latency and improving overall performance. Additionally, the growing adoption of cloud computing and the need for faster and more efficient data processing are also fueling the growth of the edge analytics market. The ability to process data at the edge of the network helps reduce the amount of data that needs to be transferred to the cloud, making it more cost-effective and efficient. Finally, the rise of artificial intelligence (AI) and machine learning (ML) is also driving the growth of the edge analytics market, as these technologies rely on real-time data processing to operate effectively.
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