Edge Computing M&A Analysis for building and supporting new business demand
Businesses are focusing on the need for getting their hands on the best tech that would help improve their real-time decision making. And it makes sense too, as the capabilities on device get better and are being used more than ever. In this IoT Insight Series - Edge Computing M&A Analysis is an overview of how edge computing may be able to reduce connectivity and cloud computing latencies.
It seems that lots of companies already know just how prepared edge computing could make them, but only a few have the kind of technology to back this up. So, they look for avenues, platforms and rival businesses that can give them that edge in edge computing – and that’s a big reason why technology forms a majority of the deal-making they do. They have already mastered one tech wave that was filled with cloud computing, mobility and the best that those had to offer till they became mainstream. But business is all about being relevant and the next best thing is technologies like ML, AI, drones, robotics, VR, AR, blockchain and 100% automation – all powered by IoT and run on edge computing.
So if this is what business will look like in the future, then what do the ongoing, big-time IoT investments look like?
Edge computing is an emerging technology, so it still has a long way to go before significant volumes of investments are generated for it. This could be due to the fact that many companies don’t understand what it is, or how to fully use it. The other part of the confusion is how to really begin applying EC, or what kind of technology would be suited to it. But there has been some investment activity, primarily in applications like the building of smart cities, smart homes, real estate, logistics, and agriculture.
But why invest at all? What do companies really gain out of it?
When perfected and simplified for ‘regular’ people, EC could help businesses skip the cloud when it comes to their decision making, it could help devices like remote mining equipment, digital billboards, autonomous vehicles, wearable health appliances to access local data analysis in real-time. So, in this sense, the applications that EC has are immense – as each IoT device works under a different condition when compared to their controlled environment counterparts that we have in factories and offices. EC is a whole new tech that can support that computing situation that entails varying devices without lag.
EC will make advanced software, equipment work. One good example to highlight this is those complex military drones that are used to survey combat zones, check national defense lines. Such equipment needs to collect, process and share heavy data loads in real-time given all possible challenges in that are they need to survey – limited connections, latency gaps, environmental changes, and lengthy remote distances. Granted it is already being operated by the best software possible, but with EC it could be even better and could actually resolve those challenges.
But that’s a more advanced usage and while business won’t require something this intense, they could benefit from the other range of uses that EC has. Edge computing can be used in areas that are known to have the worst intermittent connectivities or limits when trying to connect to the cloud for services like analyzing, storage of data. With this speed, decisions can be made in real-time – or example, automatic machines and self-driving cars need platforms, connections, and devices to carry out analytics locally without the need to send that data to the cloud.