Sensor deployment intelligence for autonomous vehicle features
Cameras, radar, lidar, and occupant monitoring systems enable perception and control functions across automation levels.
S&P Global Mobility’s Product Autonomy Sensors provides a comprehensive, vehicle-level view of how autonomy sensors are deployed, scaled, and forecasted across todays and future global fleets.
By combining detailed vehicle, powertrain, platform with sensor-level specifications and long-term volume forecasts, the solution shows which autonomy sensors are used, where they are installed, who supplies them, and how adoption changes over time.
Global Coverage and Time Horizon
Product Autonomy Sensors supports strategic planning with consistent scope plus continuity:
- 30 countries across key automotive markets
- 1-year historical data
- 11-years forward forecast providing long range visibility into sensor adoption plus scaling
This blend of history plus forecasting helps users track market evolution while anticipating technology inflection points.
Vehicle level coverage across global fleet
Dataset anchors sensor intelligence in real world fleet composition tracking
- Brand, model, body type, fuel type, drivetrain, gross vehicle weight
- Engine, transmission, propulsion system, platform architecture
- Vehicle type, global segment, regional price class
- Production country, program lifecycle (start - end)
- Registration year, regional Vehicles in Operation footprint
Autonomy sensor intelligence plus feature mapping
Product Autonomy Sensors links dedicated sensing hardware to driver assistance and automated driving applications across all SAE autonomy levels, focusing exclusively on the sensors that enable perception and in-cabin monitoring.
Sensor Classification & Placement
- Sensor types: camera, radar, lidar, driver monitoring systems (DMS), and occupant monitoring systems (OMS)
- Sub-type identification: e.g., front/side/rear cameras, corner/long-range radars, scanning/solid-state lidar (as applicable), IR-based DMS/OMS (as applicable)
- Vehicle integration detail: exact mounting position(s) and number of units per vehicle (sensor count by location)
Technical Specifications (Sensor-Level)
- Functional safety classification: ASIL coverage per sensing unit where applicable
- Camera specifications: resolution and standardized resolution categories
- Radar specifications: radar type and maximum detection range
- Lidar specifications: operating wavelength
- Fitment strategy: retrofit applicability versus factory-integrated deployment
Supplier & Ecosystem Insights
- Sensor supplier attribution: sensor-by-sensor sourcing visibility
- Architecture linkage: connection of each sensor to the vehicle electronics architecture and the autonomy/ADAS compute stack (integration context for automated driving deployments)
Granularity supports engineering decisions, sourcing strategy, compliance planning, plus autonomy platform alignment without expanding into software feature catalogs or regulatory summaries.
Annual forecasts enable users to
- Quantify demand by sensor type, specification, autonomy level
- Assess growth trajectories as higher automation gains market traction
- Understand how regulation and technology maturity influence sensor content
Forecasts support capital planning, capacity strategy, plus innovation roadmaps.
Flexible access plus enterprise integration
Product Autonomy Sensors data delivery through S&P Global Mobility’s AftermarketInsight platform supports multiple access methods
- Interactive analysis via query tool
- Analytics API for advanced modeling plus system integration
- Flat file delivery supporting enterprise workflows
Flexibility supports integration across analytics, forecasting, plus business intelligence environments.
Why Product Autonomy Sensors from S&P Global Mobility
With global coverage, deep vehicle attribution, sensor level detail, plus long-range forecasts, Product Autonomy Sensors helps organizations:
- Track sensor adoption across the global VIO and future vehicle programs
- Understand how autonomy features translate into real sensor demand
- Identify regional, regulatory plus supplier opportunities
- Anticipate shifts driven by ADAS mandates and higher automation levels
Product Autonomy Sensors transform complex autonomy and sensor data into actionable insight—empowering smarter decisions for future mobility.
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