Edge Computing in 2023 - Trends to Look Out For
The Edge in edge computing is a reference to any outside location of a data center where processing takes place. Some of its attributes include low latency, close proximity, and local processing capabilities. Contrary to popular, albeit misguided opinions, edge computing is not a rival to cloud computing but rather a component. It has gained traction as a powerful addition to cloud computing. The only difference between the two is that edge computing takes processing to its users, whereas its counterpart uses centralized servers for all processing.
Edge computing brings data and storage closer to wherever needed — it acts on data at the source.
Because of its growing demand and the ease of data access, it is predicted that more than 75% of enterprise-generated data will be processed in an outside-cloud environment or traditional data collection centers. What does this entail for enterprises and organizations? They should prepare for a cloudless environment with computing spread out in multiple locations. Companies that depend too greatly on the cloud need to adapt to newer norms imposed by edge computing if they wish to stay relevant in the future.
Edge Computing Trends in 2023 Bound To Dominate Data Computing
Edge computing has gone mainstream in the last decade. However, certain trends are expected to rule the data and computing domains in 2023. While its benefits are known to a select few – enthusiasts and industry veterans – more will be encompassed by what edge computing has to offer by 2023.
Let’s take a look at some of the trends.
Explosive Data
Data generation worldwide has seen exponential growth. IT forecasts predict around 175 to 180 zettabytes (equivalent to 175 trillion gigabytes) of data will be generated annually in the next few years. This growth can be attributed to the rising demand for IoT devices and data usage for insights. As a result, the demand for edge computing will grow to cater to this explosive data.
The Rise of IoT
We are being rushed into an era where our streetlights, cars, and even fridges will be connected to the internet. Because the market for IoT devices is expanding, edge computing is the perfect way to counter this expansion as it allows for data to be processed at the source. In addition, with edge computing and faster network speeds at the ready, bandwidth requirements are reduced, and you witness a process optimization unlike any other.
5G Networks and Edge Computing
Data speeds undergo an increase with each advent of new mobile technology. 5G networks themselves will be a trend to keep up with. Most countries like China and the US already have integrated 5G capabilities. Faster and better in every way possible, 5G will enable faster data transmission, adding to the overall data generation and the need for at-source processing (edge computing).
Usage of AV – Autonomous Vehicles
Edge computing has also paved its way in the automotive industry. Autonomous vehicles require low latent connectivity and real-time insights into their immediate environments. An AV cannot operate properly without knowing about factors like road conditions and surrounding vehicles. This is why edge computing will also help autonomous vehicles go mainstream, ensuring that AVs are safe, secure, and efficient on all roads.
Edge Computing’s Offerings to Business
Data centers will turn to edge computing in the future. Industries such as healthcare, retail, and finance already have employed edge computing in the following ways:
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Real-Time Analysis: Customer data can be captured and analyzed on to go. Product selection and inventory management can be scaled.
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Reduction in Latency: Through routing, edge computing can reduce data processing latency, enabling customer access whenever required.
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Speed Upscale: Finally, edge computing speeds up operations that enable streamlining of processes for us all.
Edge computing is going mainstream. Enterprises must consider trends such as explosive data, rising demand for IoT devices, 5G networks, and autonomous vehicles to keep a competitive edge.