Connected vehicles on road to $742 billion market by 2030

Bloomberg Intelligence

This analysis is by Bloomberg Intelligence Lead Analyst Steve Man. It appeared first on the Bloomberg Terminal.

Smart vehicles represent a $742 billion annual revenue opportunity for the global automotive value chain by 2030, offering significant recurring-revenue prospects for car manufacturers such as Volkswagen, Ford and Mercedes-Benz, and suppliers including Continental, Denso and Aptiv. The integration of open-source operating systems, such as Linux, empowers OEMs to create proprietary software stacks and reclaim the vehicle-to-human interface from Apple’s CarPlay and Android Auto. Achieving hands-off Level 4 and 5 autonomy may be years away, yet recent advancements in generative AI and chip technology, spearheaded by Tesla, OpenAI and Nvidia, are accelerating the transition to Level 3 from Level 2. Smart vehicles are powertrain-agnostic, presenting a larger and more dynamic profit opportunity than electric vehicles (EVs) alone.

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Key research takeaways

  • Tesla’s Lead Over Legacy Carmakers: Tesla’s Full-Self Driving (FSD) technology could be closer to reaching full autonomy than any other peer, according to BI. Legacy original equipment manufacturers (OEMs) such as VW, GM and Ford are investing heavily, but no other global carmaker offers full self-driving capabilities on city roads.
  • Transforming the Business Model: Advanced driver-assistance system (ADAS) and software subscriptions could boost revenue through over-the-air operations. A pool of about $617 billion in annual revenue is accessible to carmakers such as Tesla, which has proved the viability of the subscription model by following phonemakers’ blueprint.
  • Redefining Training With Generative AI: Gen-AI models, underpinned by more powerful chips from providers such as Nvidia and Qualcomm, could offer significant improvements in the efficiency of neural network training.
  • Collaborative Supply Chain: The autonomous-vehicle ecosystem can be broadly segmented into three categories: perception (see), computation (think) and actuation (act). Collaboration across a network of suppliers, instead of linear sourcing from tiered vendors, could be the cornerstone for breakthroughs in self-driving vehicles.
  • Equity Portfolios Can Hedge Smart-Car Risks: Diversifying investments across critical suppliers could balance concentration risks. A portfolio that includes companies such as Applied Intuition, Helm.ai and Momenta mirrors Tesla’s core autonomous capabilities.


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