Edge Computing
Currently, information about users is being gathered by millions of data points from a variety of sources, including social media, websites, emails, and web searches. Other technologies, like cloud computing, fall short in a number of instances as the amount of data collected grows dramatically.
Cloud computing was one of the technologies with the quickest growth till a decade ago. However, it has gained some public acceptance as a result of the dominance of large companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform in the industry.
As more businesses embraced cloud computing, they discovered the technology’s flaws. Edge computing enables organizations to bring data into a data center for processing while avoiding the latency that cloud computing imposes. In the sense that it is closer to the location where the data processing will ultimately occur, it can exist “on edge.” Time-sensitive data processing is done using edge computing in remote areas with poor or no connectivity.
As IoT device numbers rise, edge computing applications will continue to expand. By 2022, its market share is anticipated to be $6.72 billion.