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Autonomy Forecasts

Learn more about Autonomy Forecasts
Expanded insights into the autonomous, automated, and assisted driving technologies

  • Which automakers are standardizing ADAS features while offering Automated Driving content?
  • Which application features are packaged together in a vehicle, and what autonomy level do they enable?
  • Which sensors are present in a vehicle, which applications do they enable, and how does that change with the next vehicle generation?
  • Which vehicles are used in mobility-as-a-service and how will this change over time?

S&P Global provides insight into OEM and supplier technology strategies across the full spectrum of autonomous, automated, and assisted features—including new Level 2+ and L4 Mobility-as-a-Service use cases. Our enhanced Autonomy Forecasts provide access to detailed model-level technology specifications: from application content and feature packaging to a snapshot of all sensors installed. Sensor forecasts now also include a Retrofit designation to highlight different approaches to equipping L4 Mobility vehicles. 

In addition to key strategic questions around automated and autonomous technology development, OEM sourcing structures, and emerging suppliers, the enhanced Autonomy Forecasts also employ a new application software and sensor hardware pricing model, the latest regulatory insights, and consumer survey inputs to build a comprehensive outlook for the automotive industry.

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Access the 12-year forecast horizon with in-depth analytics at the model level:

Autonomy Sensors, Specifications, and Supply Chain
  • Camera
  • Lidar
  • Radar
Autonomy Applications
  • 46 individual feature forecasts including L2+ use cases and L4 Mobility-as-a-Service
  • Plus, a new combined data structure that shows coexisting features in a vehicle
Autonomy Levels
  • Traditional format based on SAE J3016 (from Level 0 through Level 5)
  • New S&P Global Mobility designation that identifies Level 2+ segmentation as well as L4 Mobility-as-a-Service
  • New application package category to distinguish simple and advanced features within an Autonomy Level
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