Introduction
In the past decade, we’ve seen an explosion of the Internet of Things (IoT) in our homes, offices, and public spaces. From smartwatches to smart homes, from sensors on roadways to artificial intelligence (AI) algorithms that make sense of all that data—the IoT is here. However, as more devices enter our lives (and as more people rely on them), it becomes necessary for us to store and process information closer to where it originates than ever before: at the edge of your network. Edge computing refers to this new way of thinking about data processing—it’s not just something you see in sci-fi movies or futuristic novels. It’s real life!
Edge computing is a network architecture in which computing tasks are performed close to the source of data generation.
Edge computing is a network architecture in which computing tasks are performed close to the source of data generation. It differs from cloud computing, in that it’s not necessarily centralized and doesn’t rely on a large number of servers or data centers to process requests. Instead, edge devices collect, process and/or store information locally before sending it back to the cloud for further processing.
The term “edge” refers to any device located at the edge of a network–that is, anywhere outside of datacenters (or “core”) but still connected via high-speed internet access lines (such as fiber optics). For example: smartphones; smart homes; connected cars; industrial equipment like factory robots; military drones…you get the idea!
The concept of edge computing has been around since the early 2000s, but only recently has the focus on this technology grown significantly.
Edge computing is a network architecture that places data closer to the source of data generation, or near the end user. By doing so, it increases responsiveness and reduces latency in certain applications by reducing network traffic across long distances.
Edge computing is also a subset of cloud computing–it can be used in conjunction with cloud services from providers like Amazon Web Services (AWS) or Microsoft Azure but doesn’t necessarily require them for deployment. This makes edge computing an ideal solution for enterprises that want to leverage cloud technology without having all their data stored on third-party servers offsite at another location somewhere else in the world; instead, they can keep everything within their own private network boundaries while still benefiting from some of its advantages like lower costs and increased speed/reliability
By 2025, the global edge computing market will be worth $40 billion.
Edge computing is a new technology that’s growing in popularity. It allows companies to get more data from their products and make them smarter, which is why it’s important for you to know about it.
Edge computing refers to the processing of information at or near the edge of a network (the “edge”), rather than having all data sent back to a central location for processing before being redistributed as needed elsewhere on your network. This allows companies with edge computing capabilities to analyze information more quickly while reducing latency issues associated with sending large amounts of data across long distances over wireless networks or even wired ones if they’re not fast enough already!
Edge computing enables companies to gain more insights about their data, including how and where it was created and what’s happening with it now.
Edge computing enables companies to gain more insights about their data, including how and where it was created and what’s happening with it now.
In the future, edge computing will allow you to have a better understanding of your own personal data. For example: You could get an alert if someone tries to access your bank account or credit card information while traveling abroad (this would require some sort of biometric authentication). Or maybe a retailer would know when customers are buying products online–and then use that information to send targeted coupons via text message?
According to 451 Research’s Global Edge Computing Forecast 2019-2025, there will be nearly 5 million edge computing devices on the market by 2022.
According to 451 Research’s Global Edge Computing Forecast 2019-2025, there will be nearly 5 million edge computing devices on the market by 2022. The market for these IoT devices is growing and expected to be worth $40 billion by 2025.
IoT connection speeds are increasing exponentially as companies look for more innovative ways to make their offerings stand out from their competitors’ products or services.
The Internet of Things (IoT) has become a buzzword and is expected to grow exponentially in the coming years. IoT connections are increasing as companies look for more innovative ways to make their offerings stand out from their competitors’ products or services.
One example is 5G, which will be rolled out in 2019 and 2020 by carriers such as Verizon Wireless and AT&T Mobility. 5G will offer faster speeds than 4G LTE, making it possible for devices like self-driving cars or drones that need high-bandwidth connectivity in order to operate properly
By 2023, 75{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} of enterprises will be using an IoT gateway at least once per week for monitoring applications or platforms.
In the future, you’ll be able to track everything from your fridge to your car.
As technology advances and becomes more interconnected, it’s important for businesses to stay up-to-date with the latest trends in order to remain competitive. One of these trends is edge computing–the practice of sending data closer to its source for faster processing and analysis. By 2023, 75{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} of enterprises will be using an IoT gateway at least once per week for monitoring applications or platforms (IT Pro). This means that companies need reliable support when deploying new technologies like gateways into their infrastructure so they don’t have any issues down the line when trying them out in real life situations!
By 2022, 50{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} of industrial manufacturers will use edge analytics software as part of their quality control processes.
Edge analytics software can help manufacturers to improve quality control, efficiency, product development and reduce costs.
The benefits of edge computing are immense in the industrial sector: it will help manufacturers to make their products more efficient while also ensuring they meet all industry standards.
By 2022, 50{6f258d09c8f40db517fd593714b0f1e1849617172a4381e4955c3e4e87edc1af} of industrial manufacturers will use edge analytics software as part of their quality control processes.
Conclusion
While edge computing is still in its early stages, it has the potential to change how businesses operate. By bringing computing power closer to the source of data generation, companies can gain insights about their data that were previously inaccessible or difficult to obtain. This means that not only will you be able to access more information about your IoT devices or industrial equipment–like how often they need maintenance or repairs–but also use this information when making decisions about future investments in new technologies as well.
