Emerging IoT technologies to have on the radar
Fiber optics in Mexico arrived a few years ago and currently, both consumers and Internet providers are seeing the enormous advantages that the deployment of the 5G network will bring to the country. The adoption of this technology will allow the development of the Internet of Things. However, businesses will need to pay good attention to emerging technologies so as not to be left behind in the new digital transformation.
Would you like to work in IoT environments? Developing projects with IoT connectivity, software, and hardware with these technologies are some of the activities that require the attention of both consumers and researchers, and investors who are interested in understanding which technologies will be the next novelty.
The Internet of Things already has some 58 technologies that are already being worked on. However, their ranking goes according to how much maturity they have achieved in the mass market or if they are quite conventional.
The most relevant emerging IoT technologies
If you are thinking of joining a project with this type of technology, you will surely need a reference point to test and evaluate them. Discover below the most relevant IoT projects worldwide and those that are classified with greater maturity in the market.
Before going into what these projects are, consider that there are three segments to take into account:
IoT software: IoT technologies that are about to mature include edge AI, IoT-based streaming analytics, and supervised and unsupervised machine learning.
IoT hardware: There are six IoT technologies currently classified as fairly mature or conventional, CPU, MCU, GPU, security chips, FPGAs, and edge gateways.
IoT connectivity: There are four IoT technologies that are close to maturity, eSIM, mesh networks, 5G, and Wifi 6.
Below we explain what the most outstanding technologies are about
Cloud computing allows the delivery of a wide variety of services over the Internet, such as:
Tools and applications related to data storage, servers, databases, networks, and software. Without a doubt, it is one of the most conventional IoT technologies today.
We all know the SIM card of our smartphones, however, eSIM cards are integrated into mobile devices and enable remote SIM provisioning, This IoT hardware technology is reaching its maturity and allows us to store multiple operator profiles simultaneously, as well as switch between them remotely.
Internet of Things-based platforms is software tools for building and managing IoT solutions. What they do is simplify the coding and deployment of applications for IoT solutions, as well as enable efficient end-to-cloud communication.
A mesh network is a group of devices that act as a single Wifi network, so there are multiple sources of Wi-Fi in your home rather than a single router. There are some mesh Wifi systems in Mexico that allow for higher Internet connection speed, better performance, and greater coverage to simultaneously connect up to 75 devices, such as the Amazon eero 6. This IoT technology will soon reach maturity.
This technology is one of the fastest moving and advancing in its development in the last three years. We could say that it is already a mature technology, thanks to the implementation of Wifi 6 chipsets at an early stage and the significant upgrade from previous versions of Wifi.
Wifi 6 technology has been quickly adopted especially in devices such as routers, as it significantly increases the speed and capacity of the network to provide optimal performance to access points. Wifi 6 opens up new possibilities when it comes to new applications with about four times the performance of Wifi 5.
A container is a standard unit of software that packages code and all its dependencies, so the application runs quickly and reliably from one computing environment to another. This is one of the IoT technologies that are already approaching maturity in the market.
GPUs have had a relatively rapid maturity due to the adoption of GPUs in data centers for their parallel processing capabilities, as well as the optimization of GPUs to train AI deep learning models that enable the processing of multiple calculations simultaneously for IoT applications.
It is a graphics processing unit and one of the most conventional IoT hardware-related technologies.
Attention is currently being paid to the development of sensors that aim to solve issues related to latency, data throughput, and security for various applications.
The new sensors differ from previous versions because they now integrate much faster data processing capabilities to respond to the user interface. For example, we have the adoption of wearable medical devices, such as blood glucose monitors and AI-based quality control in manufacturing.