Edge Computing and "Cloud-To-Car" Revolution

The rapidity with which technology advances has altered how individuals engage with the world. Moreover, companies have ramped up their digital transformation efforts with technologies like edge computing to keep up with the fast-paced innovation and intense competition required to succeed in today's more globalised economy.

The increasing popularity of Internet of Things (IoT) gadgets indicates this pattern. The Internet of Things (IoT) revolution is conceivable now because of the dramatic increase in processing power. Especially in the automobile sector, anticipating the next iteration of the Internet of Things is crucial.

However, the existing capacity limitations of centralised processing cannot handle the massive amounts of data being transferred and stored by linked automobiles. This is a necessity since connection concerns in cars jeopardise safety and security.

This is where edge computing enters the technological evolution. In the automotive sector, the edge computing market is predicted to expand at a CAGR of 27.5% between 2021-2026. But before we get into the convergence of IoT and edge computing, let us first understand what it is and its benefits.

What does Edge Computing do?

A growing computing paradigm, edge computing technology encompasses various networks and devices located at or near the user. With edge computing, data is processed close to its point of origin, allowing for faster and more extensive processing and more immediate, action-driven outcomes.

Benefits of Edge Computing

As the volume of interconnected devices multiplies, it becomes more challenging to move information across locations. However, while awaiting additional data to become accessible, systems based on edge computing may maintain the most critical data at the edge.

Data may be handled immediately and more securely using edge computing since it is closer to end users. Costs may be reduced further by storing part of the app's functionality locally instead of using cloud edge.

This is an excellent option for businesses with restricted bandwidth, which arguably applies to all businesses. With Growth Jockey, the technology may also help businesses maximise their data at every stage.

In addition, it may lead to more efficient operations and better customer experiences. Shorter turnaround times, less bandwidth use, and enhanced security are just a few of the advantages.

Convergence of IoT and Edge Computing in the Automotive Industry

The telecoms sector recognised and addressed communication channel restrictions, which led to the development of mobile edge computing well before the automotive industry encountered the issue.

Mobile edge computing refers to a concept in network architecture specified by the European Telecommunications Standards Institute (ETSI) that provides capabilities for cloud computing and an IT servicescape at the cellular network's edge and, more generally, at the edge of any network.

Regarding business networks, edge computing is closest to the end-user or data source. At this point, a connected device communicates with a data centre or the cloud to get data, updates, or content.

While doing cloud drive comparison of centralised data channels, they limit growth, cause bottlenecks across platforms, and introduce latency that negatively affects the user experience. On the other hand, MEC enhances the experience by boosting the speed and dependability of services.

A connected vehicle's sensors and actuators may gather information about the surrounding environment and take action in response to it, such as applying the brakes in the event of impending danger. These operations generate massive amounts of data that need to be processed instantly; hence, this processing must occur at the network's edge rather than in a centralised data centre.

MEC significantly mitigates latency and the associated threats to human life and property. Internet-enabled automobiles and smart IoT devices now function as edge nodes in distributed networks.

With 5G, more data can be sent, and network coverage can be expanded, making it an integral part of edge computing and MEC. 5G speeds may be up to 10 times faster than 4G, while mobile edge computing minimises latency by putting computational capabilities closer to the end user.

For automotive OEMs to keep up with the data collected from their cars, the industry will need to transition to MEC.

The Automotive Sector's Application of Edge Computing

Highly developed autonomous cars equipped with cutting-edge, internet-connected software is the future wave in the automobile industry. With an expected CAGR of 12% by 2027, the IVM industry is poised to hit $28 billion. In addition to assisting with vehicle upkeep, IVMs' rising popularity may be attributed to their ability to propel the industry toward more automation.

These cutting-edge technologies, not found in traditional automobiles, need massive computer power to interpret the data flow and provide a real-time reaction.

Compared to the conventional computing paradigm for automobiles, which uses an onboard CPU and a centralised data processing warehouse, edge computing has numerous advantages.

It helps automobile manufacturers, for instance, keep track of things like mileage and engine temperature. It also lessens the requirement for a centralised data-processing centre by reducing the quantity of data sent from the vehicle.

Edge computing's flexible capabilities make it an ideal solution for meeting these needs and ensuring a safer and more secure future for the automobile industry. Let us have a look at a few of these applications.

• Administration of Smart Road Networks

The Internet of Things (IoT) network, a cellular vehicle to everything (C-V2X), links an automobile to various elements of the road network.

Information may be sent between cars (V2V) about things like where they are and how fast they are going, between vehicles and roadside infrastructure (V2I) like traffic signals and toll booths, and between cars and people (V2P) on metropolitan transit systems.

Managing a modern and effective road network is made easier with the help of an edge device placed in the network.

• Automatic Vehicle Inspections

The inspection procedure has several stages, each of which calls for its special model. Automated vehicle inspections might help solve this issue.

Automation may be very efficient. However, it might be undone by processing delay if done on the cloud. However, edge computing can boost velocity and cut down on latency. Edge computing moves inspection data processing to locations closer to the actual cars themselves.

As a result, decisions may be taken in a matter of seconds. It also can improve workflows while decreasing downtime.

• Analysing Vehicle Repairs

Edge computing frameworks make it possible to monitor and report on the state of a vehicle in real-time using telematics. Analytics and decision-making may be performed in real time with the help of edge computing technologies like AWS edge computing. With this information, maintenance regimens may be planned ahead of time. Additionally, it will aid in collision avoidance, improving driving conditions overall.

Innovations in Automotive Value Chain

The semiconductor industry and other sectors of the automotive industry's value chain will benefit significantly from increased connectivity in vehicles. Instead of maintaining a restricted emphasis on software, hardware, and other components, Growth Jockey helps businesses make gains in all markets by becoming solution providers.

Companies moving forward to capture value may benefit from reassessing critical aspects of their strategy, such as their expertise and product portfolio.

At Growth Jockey, we focus on the potential impact of an edge-computing architecture on organisational performance. We take a broad approach, assisting customers in creating a comprehensive plan for their implementation of edge computing.

Wrapping Up

The advantages of 5G and edge computing are real and will soon be realised, but no company can do this independently. Opportunities exist now on a massive scale that is not explored in the technology road plan of many automobile firms.

Autonomous driving, insurance claim settlement firms, and vehicle inspections organisation are just a few sectors that benefit from edge computing's increased efficiency. It may ease the implementation of an organisation's rules and aid in preventing costly downtime.

Moreover, it may assist in improving the efficiency and dependability of a company's digital infrastructure. Eventually, the automotive industry will ramp up its usage of edge computing. The automotive industry has to move rapidly to take advantage of this new technology.

Some firms are already developing strong ties with OEMs throughout the value chain, essential for delivering a connected automobile to the market and extracting revenue.

At Growth Jockey, we are fully committed to providing tailored solutions that effectively tackle the crucial challenges in cloud and cyber security faced by our clients across diverse industries. Regardless of the size of your company, whether it's a small-scale enterprise or a large corporation, you can now leverage the advantages of advanced technologies in cloud and cyber security.

Take the decisive step towards unlocking the next level of growth and protecting your brand by contacting us today!