Topics in this article
Augmented and virtual reality
Edge as a Service
Private 5G, edge computing, digital twins, AI and automation: these have been some of the most talked about technology trends for automotive manufacturers and their suppliers at top industry fairs this year, including the Mobile World Congress (MWC) and Hannover Messe.
Here are some of our observations on how these technologies can improve connectivity for vehicle users and optimize the production process across the automotive value chain in 2023 and beyond.
The case for connectivity – on and off the road
Connectivity is becoming increasingly important in the automotive industry as original equipment manufacturers strive to create seamless integrations between cars, drivers and the environment.
Several innovations on display at MWC and Hannover Messe would help to improve connectivity for vehicle users. Unsurprisingly, 5G was front and center in this conversation.
5G technology offers faster data speeds and lower latency, which means drivers can access real-time information more quickly and reliably. On the road, this technology could have a profound impact on autonomous vehicles, which require a constant stream of data to make real-time decisions.
Although the widespread adoption of 5G on the road is perhaps a way off, exciting use cases are emerging off the road and in production facilities where private 5G networks can be established.
I moderated an automotive roundtable at MWC where we heard about a proof-of-concept project for automated valet parking. The infrastructure-based solution – codeveloped by NTT DATA, French automotive supplier Valeo and decision-making software provider Embotech – has few requirements on the vehicle side, as it guides the vehicle to a dedicated parking spot by using sensors, connectivity (such as private 5G) and off-board computing.
The initial pilot project focuses on ways of helping car manufacturers make their assembly lines more efficient by automatically guiding vehicles from one production station to another. The completed vehicles are then guided from the end of the assembly line to dedicated spots in large launch areas.
The outcome is a more efficient assembly line, with time and cost savings. Other potential use cases include depot management for fleet or rental-vehicle operators, and automated valet services for parking operators at retail outlets, airports and other large public spaces.
The rise and value of edge computing
Another significant connectivity trend discussed at these trade shows was the rise of edge computing, which enables true real-time automation and data processing at the edge of a network.
Combined, edge computing and 5G will pave the way for connected cars and lead to the development of new use cases that will have major implications for organizations along the entire automotive value chain.
McKinsey estimates the total value created by connected-car use cases will increase to more than USD 550 billion by 2030 from about USD 64 billion in 2020. In the same period, the portion of value created by 5G and edge computing in the overall automotive value chain is forecast to increase from 5% to 30%.
Optimizing the production process
In addition to improved connectivity for vehicle users, there was a strong focus at both trade shows on how organizations across the automotive value chain can use technology to optimize their production processes.
One prominent solution is digital twin technology, which uses data from sensors and other sources to create virtual representations of physical objects, such as cars.
These virtual models can then be used to lower the risk of errors, reduce waste and improve efficiency. For example, a digital twin of a car can be used to simulate the assembly process, allowing the manufacturer to address potential issues even before production begins.
The latest developments in augmented reality (AR) technology also hold great potential for optimizing automotive production processes. We were shown how AR can be used in training: by overlaying virtual objects onto the real world and allowing users to interact with them, workers or trainees can be given real-time information and guidance.
For example, a worker can use AR glasses to overlay a virtual blueprint onto a physical car, then get step-by-step instructions on how to assemble the car correctly. This technology can reduce the need for lengthy training processes and improve efficiency on the production line.