Accelerating Automotive’s AI Transformation

How driving AI enterprise-wide can turbo-charge organization value

Scaling Artificial Intelligence in Automotive Industry

Although AI offers vast implications for engineering, production, supply chain, customer experience, and mobility services, progress in AI-driven transformation has been sluggish and uneven due to lingering roadblocks. The number of automotive companies deploying AI at scale has grown from 7% in 2017 to 10% today, with OEMs generally making better progress than suppliers or dealers. Geographically, the US, where 25% of companies implement AI at scale, is leading the way in terms of progress, followed by the UK (14%) and Germany (12%). In terms of pronounced growth, China is making huge strides, having nearly doubled its share of scaled AI implementations, from 5% to 9%.

The new report by the Capgemini Research Institute, Accelerating automotive’s AI transformation: how driving AI enterprise-wide can turbo-charge organizational value, surveyed 500 executives from large automotive organizations in eight countries and interviewed a number of industry experts and entrepreneurs to understand how progress in deploying AI at scale can be accelerated. It also identifies 13 out of 45 high-benefit, low-complexity use cases organizations should focus on.

The research considers the following areas:

  • Where the industry stands in scaling its AI implementations
  • What concrete benefits can result from scaled initiatives
  • Where automotive manufacturers should focus their AI investments
  • Success factors and recommendations for scaling AI.

AI holds the key to the future of the automotive industry, but to reap its many benefits, organizations should accelerate AI adoption. In so doing, they should invest in high-value use cases that are easy to scale, promote effective governance, and proactively upskill their talent pools.

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30 min – Report

File size: 2.84 MB File type: PDF

1 min – Key statistics

File size: 781.29 KB File type: PDF

Featured Testimonials

Jeff Lemmer, VP & CIO, Ford Motor Company

Not only are AI technologies critical for enabling our autonomous vehicles, but they are playing an increasing role in transforming our customer and employee experiences.

Atif Rafiq, CIO & CDO of Volvo Car Group

Car companies are actively using AI in their autonomous driving efforts and this typically gets the most headlines. But every facet of this industry can benefit, including how cars are made and sold and to invent new customer experiences.

Dr. Christian Müller, senior researcher at DFKI (the German Research Center for Artificial Intelligence)

European organizations and the German automakers, in particular, are trying to overcome the slower pace of adoption of disruptive technologies. It’s harder for them owing to regulations, greater costs of operation, and a mindset of following well-defined processes. Despite this, over a longer time horizon, I believe that their process-oriented approach might yield them greater dividends from AI.

Key Takeaways

16%

of large automotive OEMs can boost their operating profits by deploying AI at scale

3%

growth of automotive companies deploying AI at scale since 2017

25%

25% of US companies implement AI at scale

Experts

Markus Winkler

I help key Automotive companies speed up their business performance by preparing and transforming them to become digitally sharp.

Ron Tolido

Executive Vice President, Global CTO – Insights & Data. Certified Master Architect. Member of the Group Technology & Innovation Council. Lead author of TechnoVision. Executive lecturer at TIAS Business School.

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