EdgeConneX offers EdgeOS, which is a self-service management application geared for high observability, with a single universal dashboard to manage it. The core idea: edge is amorphous and non-specific in location, with IoT sensors anywhere and everywhere, so this far-flung data network needs an equally geographically diverse physical infrastructure to power it. Key value proposition: This forward-looking company helps enterprises position data facilities where they are most needed.īuilding what it calls the Edge Data Center, EdgeConneX focuses on enabling efficient – that is, closer – placement of data crunching facilities for better network and IT connectivity. Founded in 2007, ClearBlade makes its home in Austin, Texas. It serves companies in the rail, mining, facilities, oil and gas, logistics, healthcare and energy industries, as well as organizations in the public sector.
It also offers edge computing solutions for connected products, smart rail, smart monitoring, real-time location and asset tracking. Its primary products include its ClearBlade Enterprise IoT Platform, ClearBlade Edge IoT Software, and ClearBlade Secure IoT Cloud. One of the smaller edge computing companies on this list, ClearBlade is a pure-play IoT and edge computing vendor.
Key value proposition: Deeply focused on IoT and edge, serving companies in a wide array of verticals. Note that these companies are not ranked in order of importance or size. The edge computing market is forecast to see a remarkable 38% compound annual growth rate over a multi-year period. Here are fifteen companies ranging from the largest technology vendors to smaller edge-focused startups that are all major players in the growing edge computing market. Many vendors see that as an opportunity to sell new edge computing products and services to enterprises. Additionally, companies leverage artificial intelligence, machine learning and data analytics to harvest more insight from data.Īnalysts predict that as much as 40 percent of IoT data will need to be processed at the edge. The solution is to do more data processing at the edge and transmit a much smaller pool of information to the cloud. According to Cisco, the size of the Internet of Things is doubling every year, and by 2030, 500 billion objects will be connected to the Internet.Įnterprises want to harvest the data from all those devices to derive valuable insights, but transmitting all that data to the cloud across current data networks simply isn’t feasible for both financial and technological reasons. The reason for this intertwined relationship stems from the vast number of sensors and devices that are now connected to the Internet and the volume of data that those sensors and devices generate. More often, though, cloud computing and edge computing operate hand-in-hand. Cloud computing involves transmitting data over a network to a centralized server for processing, while edge computing is the practice of doing that processing out at the edge of the network - on or near the sensors or devices generating the data.
cloud computing, you’ll see that the two are quite different. As the Internet of Things (IoT) continues to grow, edge computing is becoming more important to enterprises in a variety of industries.
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