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AI as a Game Changer: The New Driving Force of the Automotive Industry

MHP Mobility Study: AI Applications Along the Value Chain – and Drivers' Expectations

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When it comes to the safe and fair use of AI, 64% of respondents trust traditional automotive manufacturers.

The global, cross-industry adoption of AI solutions is rightfully seen as the next major platform shift – comparable to the transition from desktop to mobile internet and the introduction of Cloud/SaaS. Nevertheless, compared to other industries, the automotive sector remains cautious in investing in AI computing power, personnel, and budgets.

In our MHP study "AI as a Game Changer: The New Driving Force of the Automotive Industry," we analyze the current status and technical foundations, highlighting the potential and added value that AI offers across the entire value chain – from development to production and application in the vehicle.

The study focuses on future AI users from Europe, China, and the USA. We asked them about their expectations: Which features are convincing? Do new AI functions motivate purchases? Which providers are most trusted? The answers to these key questions can be found in our study.

Implementing innovative AI applications is complex and requires a strategic approach. Automotive companies must act now to successfully invest in this new field. Our study offers practical approaches for OEMs and suppliers to ensure they don't fall behind. Additionally, a compact risk analysis shows how topics such as data protection, law, ethics, and security can be optimally addressed.

Key Findings of the Study

  • AI is revolutionizing not just the customer experience in vehicles but the entire value chain. OEMs need to intensify their activities.
  • Germany is lagging behind: Today, Chinese automakers are seen as leaders in AI expertise, and in 5 years, Japanese OEMs are expected to take the lead.
  • In China, AI features primarily influence car purchases in a positive direction.
  • Globally, customers want to use AI in cars, but are rarely willing to pay for it. Monetization is thus becoming a particularly relevant question.

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