Many businesses are increasingly deploying IoT solutions at the Edge of their networks – in order to send, receive, and process data. Shifting computing to the Edge lowers the pressure on the backhaul, and speeds up processing as well as responsiveness. As a result, it allows more bandwidth-heavy technologies, including AR and VR, to accelerate.

According to Valuates Reports, the Edge computing market is predicted to grow by a CAGR of 19.9% by the end of 2025. This aggressive IoT surge is pushing organizations and companies to rethink their IT processing architectures, which to date have remained focused on centralizing data and processing.

The burning question in organizations is, do you consider moving some of your processing to the Edge?

Lately, advanced technologies like AR, VR, and autonomous tools are expanding. If businesses and consumers want synchronized responsiveness for such technologies, they have to shift processing away from the center of the organization – out to the Edge.

The direction in companies now is to move more processing or at least pre-processing to the Edge. This helps reduce bandwidth and network demands. In this way, data can be transferred later to central data repositories that are in-house or in the cloud, at times when bandwidth and other network resources are more available.

In this digital era, EaaS is nothing new for many enterprises. Simply put, it is just a new swing from centralized processing to the processing at the Edge. With the rise in 5G adoption, there will be more drive on the bandwidth-heavy technologies. This way, data can be moved to the central data repositories that are in-house or available in the cloud when needed.

In some cases, business value from data can best be derived when the IoT receives, processes, and stores data on its own—without passing the data on. In other cases, enterprises will want IoT data aggregated with data from other core enterprise systems so holistic technologies like AI and analytics can be supported.

Regardless of the IT architecture choices a company makes for its Edge/IoT and its centralized core computing, being able to mix and match a variety of data and processing deployments for business results will be an important focus

Hence, with EaaS, businesses can embark on to unlocking services for processing, data storage, and more – directly at the Edge. Organizations can also establish ‘micro’ data centers that are a few steps away from where the dataset is being generated with successful bandwidth usage.