55+ emerging IoT technologies you should have on your radar (2022 update)

In short

• IoT Analytics identified 58 technologies that people working on IoT projects should have on their radar: 21 in IoT software, 21 in IoT hardware, and 16 in IoT connectivity.
• Of the 58 technologies on the radar, only a few are classified as nearing maturity, fairly mature, or mainstream—many of them are still further out and will need time to reach mass market maturity.

Why it matters

• The radar helps anyone working in IoT environments and projects understand which technologies they should be watching, evaluating, and perhaps deploying.

Selected highlights

The analyst team at IoT Analytics handpicked 58 of the most promising technologies relevant to IoT projects globally and ranked them according to their perceived maturity. The resulting Emerging IoT Technologies Radar will help anyone working in IoT-type environments and projects understand which technologies they should be watching, evaluating, and perhaps deploying.

The full report is available to IoT Analytics corporate subscription clients here: Emerging IoT Technologies Report 2022. The report contains additional details, such as market statistics, major vendors, and recent trends, for each of the highlighted IoT technologies, which are anywhere between “coming up” and “mainstream.” The report is an update to the 2019 analysis on emerging IoT technologies.

IoT Software. Eight IoT technologies are nearing maturity, including edge AI, IoT-based streaming analytics, and supervised and unsupervised machine learning.

IoT Hardware. Six IoT technologies are now classified as fairly mature or mainstream: CPUs, MCUs, GPUs, security chips, FPGA, and edge gateways.

IoT Connectivity. Four IoT technologies are close to maturity: eSIM, mesh networks, 5G, and Wi-Fi 6.

The IoT technologies maturing the fastest

Of the 40 technologies that were highlighted in the 2019 radar, three technologies stand out as the fastest movers that advanced the most in three years: Wi-Fi 6, GPUs, and intelligent sensors.

• Wi-Fi 6. The deployment of Wi-Fi 6 chipsets at an early stage and the significant specification upgrade from earlier Wi-Fi versions led to a fast adoption by device players, especially in devices such as routers. Thanks to this adoption, Wi-Fi 6 has been extremely quick to move from “coming up” to “fairly mature.” Wi-Fi 6 significantly increases the speed and the network’s capacity to provide optimal throughput to access points. The upgrade from older Wi-Fi versions to Wi-Fi 6 opens the door for new applications, with almost four times higher throughput capacity than Wi-Fi 5. Routers, gateways, and customer-premises equipment (CPEs) were key devices for the quick adoption of Wi-Fi 6 in the last three years.
• GPUs. The optimization of GPUs to train AI deep learning models to process multiple computations simultaneously for IoT applications and the adoption of GPUs into data centers due to their parallel processing capabilities have led to faster maturity.
• Intelligent sensors. The last three years have seen an upsurge in technology developments around sensors that aim to solve problems related to latency, data throughput, and security for various edge applications. In contrast to older generation sensors, these new sensors are embedded with data processing capabilities that enable data to be processed closer to the sensor and respond to the user interface or actuators. Some of the applications driving the adoption of intelligent sensors were wearable medical devices, such as blood glucose monitors, and AI-based quality control in manufacturing.

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