New figures from IDC have predicted a potentially colossal growth in edge computing spend over the coming years in light of increasing AI adoption. Edge computing is quickly emerging as an important element in an evolving technological landscape, and the integration of AI applications into edge infrastructure is said to be the primary driver behind the projected growth. IDC’s projections suggest that edge computing spending could reach $350 billion by 2027, surpassing earlier estimates.
A July 2023 report by Statista predicts the number of connected devices will escalate to 17.08 billion in 2024, from 15.14 billion in 2023. This digital expansion is set to generate a colossal volume of data, with a forecasted 157 zettabytes in 2024. According to an IDC report, 20% of this data will be created at the edge – a statistic that underscores the growing significance of edge computing.
The technology of edge computing is growing because it helps companies get information in the fastest way. 75% of data produced by an enterprise can be created and processed outside of a traditional centralized data center or cloud, only it is required to move the data and storage as close as possible to the edge of the computing where the data is actually being processed. Edge computing technology is used in manufacturing, farming, workplace safety, network optimization, transportation, retail as well as improved healthcare services.
Data center owners have been preparing to enable the next major leap in 5G application technology and low latency networking – the dispersion to the edge. This White Paper examines some of the areas to watch as data centers migrate closer to end users: edge data centers, smart buildings, entertainment & gaming VR, public safety & healthcare, VR, and digital twins.
Fiber optics technology uses flexible, transparent glass (silica) or plastic strings to transmit information. Each strand is equipped to carry light between the two ends of the fiber.Because they……
The move to edge cloud is resulting in a huge proliferation of local data centers. By moving processing power and services closer to the edge of the network, a wealth of new cloud-based applications dependent on low latencies and highly reliable connections emerge. Like their centralized counterparts, edge data centers need high capacity like long-haul transport links, but the networks they’re building are fundamentally different. Instead of a connecting a few distant central data centers, cloud providers are connecting dozens of distributed data centers in a single city in order meet the fast response times and low latencies required of new edge computing services.
At the risk of giving away the conclusion too early, there’s a clear place — not to mention, a need — for both application and infrastructure deployments in the cloud and on the edge. Centralizing data and the processing it in the cloud can be efficient and effective, but where latency can’t be tolerated, some amount of processing needs to be carried out at the edge. In fact, it’s often easier and more efficient to bring the processing to the data than it is to bring the data to the processing engine.
Mission Critical and Panduit commissioned Clear Seas Research to conduct a survey measuring industry awareness and usage of edge computing solutions. 100 experts were asked how they would explain edge computing to someone new in the industry. Responses ranged from vague — “It’s modern and tech savvy,” to precise — “Putting the data near the user,” to eye-opening — “Not 100% sure myself.” Read the full report for more insight regarding the perceived challenges and benefits associated with edge computing as well as who should be involved in the decision-making process when it comes to deploying edge infrastructure and selecting the right vendor.
Edge computing is all about knitting together a growing universe of devices and applications. Colocation provider sees cloud content going further and deeper going beyond the on-ramps and moving to specialized instances of cloud.
What do AR/VR, cloud gaming, smart cities, 5G, autonomous vehicles, healthcare sensors, surveillance and facial recognition all have in common? The need for low-latency connectivity enabled by networks architected with edge computing. For some service providers, edge computing trials have already started. For others, edge computing plans won’t be formulated for a few years. But, whether they’ve already devised their edge compute strategy or haven’t yet begun, the first question they need to ask themselves is: “How do we define edge computing?”
