Why Edge Computing Will Hog the Limelight in 2022
Digital Transformation Technology

Why Edge Computing Will Hog the Limelight in 2022

Creating an agile and responsive organization that can respond almost instantly to unexpected disruptions and unforeseen circumstances tops the bucket list of every C-suite executive today. The pressure to be nimble is further amplified by increasing competition from the new-age, dexterous technology companies that are challenging the status quo of the well-established ones, eating into both their margins and market share. 

As enterprise infrastructures evolve, leveraging the benefits of edge computing is quickly becoming a popular way of capitalizing on new opportunities and responding to new threats. 

If you want to overcome new-age digital competition and deal with the chaos caused by the pandemic, you need to align your business processes to user needs and adopt technology-led digital transformation using concepts like edge computing. Read on to uncover why edge computing will hog the limelight in 2022. 

Tectonic shifts caused by the pandemic has brought edge computing into the spotlight

The seismic shift caused by technology advancements, economic volatility, a fluctuating market, and regulatory trends has every company scrambling to enhance the speed and accuracy of business decision-making while streamlining end-to-end processes to increase business performance. Fostering a digital culture, increasing agility and innovation, and transforming customer experience using highly accurate data-based insights has become a top priority. However, the explosive growth of smart devices has put immense strain on network infrastructure. 

With more than 15 billion IoT devices expected to connect to enterprise infrastructure by 2029, companies are under immense pressure to adapt and find new ways to serve their customers, and edge computing is emerging as one of the top tech trends to embrace in 2022. By processing data as close to the source as possible, edge computing accelerates the time it takes for organizations to make critical business decisions while reducing the load on already strained network infrastructures. It also helps in overcoming issues related to low bandwidth and latency, allowing networks to be free while enabling quick actions. 

In 2022, edge computing will see growth like never before 

In the last few years, edge technology witnessed a rather consistent adoption by organizations across different sectors. But in 2022, the introduction of advanced edge solutions and the urgent need to respond to volatile circumstances is set to expand the availability and reach of edge computing. 

In the coming year, the business world will see further examples of edge computing, paving the way for new and more sophisticated use cases: from AI-enabled surveillance to connected worker technology, autonomous vehicles to 5G applications – let’s look at the top reasons why edge computing will be big in 2022: 

The mounting pace of 5G penetration

As the 5G market outlook picks up steam in 2022, edge computing will invariably see a synchronized rise in adoption rate. With more than 900 million 5G devices expected to be sold in 2022, edge computing will significantly help improve the performance of 5G devices, allowing for a huge amount of data to be processed and transmitted at a lightning-fast speed. Since 5G applications demand ultra-low latency, edge technology can help reach targets being set by the technology – accelerating not just 5G coverage but also its adoption rate. 

For instance, autonomous vehicles that need to respond to situations and make decisions on their own, the combination of 5G and edge computing can allow vehicles to respond to situations in a timely manner – including emergencies – without human intervention. By enabling faster connections, these technologies will not only help vehicles make autonomous decisions, but also communicate with other vehicles in the vicinity for improved driving experiences. 

The growth of AI use cases at the edge

AI applications are not new in the business world, but with constant advancements being made towards AI and associated technologies, there is a sudden growth of AI use cases at the edge. Right from image recognition to fraud detection, financial trading to data security – the need for AI applications to process and transmit data in real-time is pressing. So is the pressure for AI chatbots to respond to customer queries immediately, autonomous vehicles to detect obstacles as they arise, and smart grids to enable advanced control and monitoring. Edge computing and AI are inextricably linked and offer the ability to improve the performance of applications along with better operational efficiency, enhanced safety, and improved customer satisfaction. 

In the healthcare sector, for instance, edge technology makes it possible for doctors to take immediate life-saving decisions. Instead of being limited by data transmission speeds, bandwidth issues, or low latency, edge allows data to be processed locally – enhancing the accuracy and timeliness of healthcare decisions. 

The development of Industrial IoT Solutions

Industry 4.0 and the concept of the intelligent factory is another space being turbocharged by edge technology. With several manufacturing facilities now integrating sensors and related IoT systems into the shop floor for inspection, safety monitoring, and predictive maintenance, edge computing allows quick action to be taken. Once an anomaly has been detected, using edge technology, timely alerts can be sent to humans for immediate intervention. 

For instance, in the Industrial IoT setup where sensors have been deployed to monitor employee health and well-being, edge computing makes real-time responses possible. By capturing and processing workforce movements, edge technology allows shop floor managers to warn employees of possible mishaps and safeguard their safety. 

Edge for a safer, better future 

As the world gets increasingly smart, the adoption of edge computing is on the rise. In the coming year, as traction towards 5G technologies, Industrial IoT, and AI at the edge intensifies, the edge will augment every organization’s ability to make critical business decisions. From autonomous vehicles to healthcare, customer service to workforce safety – as the expectations from technology systems to run extremely complex calculations surge, edge computing will pave the way for data to be analyzed quickly, reliably, and securely. 

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