The Future of IoT: Top Trends We Expect to See in 2022 – IoT World Today

January 10, 2022 by No Comments

Edge computing, 5G and AI will drive value for the connected enterprise this year

Intelligent connectivity proliferated in 2021 as COVID-19 throttled traditional working environments and demanded enterprises find new ways to maintain productivity. 

Now, with around 60% expressing increased confidence in IoT’s ability to generate business insights according to Omdia, there’s enough runway for next-generation IoT applications and sensor-driven analytics.

Many of the drivers behind this change existed last year. Artificial intelligence models like TinyML were already in ascendancy. Edge computing architectures can effortlessly sync up factory, retail and venue IoT networks to the cloud, while connectivity protocols ranging from 5G to LoRAWAN and NB-IoT give enterprises a full range of options.

But products take time to deliver and implement. Some impressive IoT last year came from big companies trying out new things. The private 5G nodes deployed for smart driver notifications and connected safety in underground mines were notable examples.

As we enter 2022 more of these concepts will expand.

On the supply side, the efforts of hyperscale clouds such as Amazon Web Services and Azure will reduce the cost of implementing edge-driven IoT, tempting more enterprises to make upgrades.

“As AI and edge technologies along with 5G converge in IoT in 2022 and beyond, cloud service providers and enterprises cannot ignore the role of the hyperscaler [clouds such as Amazon Web Services and Azure],” John Canali, IoT senior analyst at Omdia. told IoT World Today: “While the hyperscalers are important partners especially around cloud and edge computing, they are also competing against CSPs with their own connectivity solutions and services and against enterprises with vertically positioned products.”

That paves the way for IoT’s full impact to surface enhancing decision-making across entire workforces. No longer restricted to C-suite, technicians and managers, the power of IoT insights will extend right down into the front line of industry, city services, medicine, environmental protection and more.

More IoT Stakeholders Will Adopt AI/ML 

According to Omdia, the convergence of AI and edge computing is set to drive IoT’s impact and value proposition. Edge capabilities on devices out in the field offer reduced latency, power consumption and costs linked to ferrying data to the cloud. That paves the way for more complex data types to be analyzed. Omdia highlights three main bands for deploying AI and machine learning at the edge. 

First, ambient AI algorithms extract IoT sensor data without using audio or video as reference points. Due to reduced latency at the edge, these algorithms can seek granular judgments from noisy data avalanches that would otherwise stagnate in storage.

Meanwhile, low-cost computer vision and natural language processing will bring video and audio IoT capabilities to more enterprises, helping detect wake words or sounds of distress in lone worker scenarios, for instance, or identifying broken goods before they leave the factory floor.

5G to Make Headway

According to Gartner, 5G is predominantly employed for consumer use cases at present, but that’s set to change over the next two years. This is because it strengthens key IoT operations like cameras and asset sensors, by making them more reliable. The U.S. is also one of a handful of countries …….



Leave a Comment

Your email address will not be published.