In order to enable quick, near real-time analysis and response, Edge Computing refers to processing, analysing, and storing data closer to where it is generated. Some businesses have recently centralised data storage and computation in the cloud to streamline operations. However, this approach is no longer viable due to the requirements of new use cases made possible by billions of distributed devices, such as improved warehouse and inventory management solutions, vision-enhanced robotic manufacturing lines, and complex smart city traffic control systems.
Additionally, the use of edge devices—from gateways and computing infrastructure to Internet of Things (IoT) gadgets like smart cameras, mobile point-of-sale kiosks, medical sensors, and industrial PCs—for quicker, near real-time actionable insights at the data source is causing exponential growth in the amount of data generated and collected. By 2025, it's predicted that 75% of data will be produced outside of central data centres, where most processing currently takes place. 1 Taking this a step further, we may say that nearly 90% of the data that businesses acquire now will never be put to any use. 2 With the help of secure platforms, high-performance processing, and low-latency communication, Edge Computing offers a way to capitalise on the data that is collected from devices.
Source Link- https://coherentmarketinsightsus.blogspot.com/2023/01/with-rise-of-edge-computing-billions-of.html
