Accelerate Automotive’s AI Transformation

Driving AI enterprise-wide can turbo-charge organization value

New report from the Capgemini Research Institute provides insight on the progress in deploying artificial intelligence in the automotive industry.

The promise of AI offers major implications for engineering, production, supply chain, customer experience, and mobility services, but progress in AI-driven transformation appears sluggish and uneven with 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 U.S. is leading the way with 25% of companies implementing AI at scale followed by the UK (14%) and Germany (12%). In terms of exponential growth, China is making huge strides, having nearly doubled its share of scaled AI implementations from 5% to 9%.

The Accelerating automotive’s AI transformation: how driving AI enterprise-wide can turbo-charge organizational value report surveyed 500 executives from large automotive organizations in eight countries and interviewed a group 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. Read how your peers and competitors are using AI at scale to do business differently.

Key findings:

• Scaling of AI is growing slowly
• Automotive organizations can drive significant rewards from scaled AI
• AI is seen more as a job-creator than a job-replacer
• AI is achieving results when deployed.

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