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Next-generation Perception Sensors for Autonomous Driving in North America and Europe, Forecast to 2030

  • Report

  • 81 Pages
  • July 2020
  • Region: Europe, North America
  • Frost & Sullivan
  • ID: 5118830

Next-generation Perception Sensors will be Introduced with Driver-out-loop Features, and Uptake of These Sensors will Increase with the Launch of Level-4 Vehicles

Increase in adoption of advanced driver assistance systems and evolution in autonomy has intensified the need to sense and perceive vehicle surroundings entirely and accurately. With the rise in the level of autonomy, the number of perception sensors will increase to provide complete 360o perception of vehicle surroundings and an additional layer of redundancy to the data collected by each sensor.

While existing sensors do the required jobs, each of them have a number of limitations to perform in extreme weather and light conditions. Level 3 and above autonomy require the sensors to detect objects at long range, identify and classify objects, and need high-resolution capabilities to develop high-definition map of the surrounding environment. While most sensor evolutions are trying to address the above-discussed challenges offering high reliability and robustness, it is also critical to address challenges such as packaging the sensor on a vehicle, maintaining the sensor to cope with external conditions, and offering a competitive price.

Traditionally Tier-1 suppliers have been manufacturing sensors for effective functioning of a vehicle. The challenges posed by ADAS and autonomous driving have encouraged multiple hardware and solution developers to develop sensor hardware, AI-based software, and wholesome perception solutions. Some key disruptors in the perception sensor industry offer embedded and hardware-agnostic software platforms to integrate other sensors for sensor fusion and other value-added solutions to enhance the capability of sensors and provide holistic perception solutions.

Key Features

The objective of this study is to research, analyze, and forecast the market for emerging perception sensing solutions in the global autonomous driving market and also assess future growth and developments in the market. The study encompassed sensors for passenger vehicles, commercial vehicles, pods, and shuttles. The geographical scope is North America (the US and Canada) and Europe (Germany, Italy, France, Spain, Belgium, the Netherlands, Luxembourg, Denmark, Norway, Sweden, Finland, and the UK).

Key Issues Addressed


  • What are the types of perception sensors used in ADAS and autonomous driving?
  • What are the roadmaps perception sensors and what are the future generations of the perception sensors?
  • How does the sales forecast of each sensor look like?
  • Which are the key disruptors developing next generation sensing technology?
  • What are the performance capabilities of each perception sensor?
  • What does the ecosystem of each sensor look like?
  • What are the OEM sensor suite strategies of key OEMs for L4 and L5 autonomous driving?

Table of Contents

1. Executive Summary
  • Key Highlights
  • Rise of Sensor Requirements with Functionalities by Levels of Autonomy
  • Existing Sensor Suite Offerings - Supplier Comparison
  • Sales Forecast to 2030
  • Key Disruptors - New-generation Sensing
  • Key Conclusions


2. Research Scope, Aims, and Objectives
  • Research Scope
  • Key Questions to Answer for the Automotive Industry
  • Research Aims and Objectives


3. Definitions
  • SAE Definitions


4. Perception Sensors Used for ADAS
  • Types of Perception Sensors
  • Rise of Sensor Requirements with Functionalities by Levels of Autonomy
  • Need for Perception Sensor Evolution


5. Future Sensors Types, Ecosystem, and Start-up Profiles - Radar Module
  • Radar Module - Types and Application
  • Existing Radar Supplier Comparison
  • Technology Evolution - Radar Module
  • Sales Forecast to 2030 - Radar
  • Performance Capabilities - Radar Module


6. Key Disruptors - Radar Module
  • Radar Ecosystem
  • Key Disruptors - Radar Module
  • Cognitive Pilot - 4D Imaging Radar
  • Metawave - SPEKTRA™ Platform
  • Arbe - Phoenix, Ultra-high Resolution 4D Imaging Radar


7. Camera Module
  • Visible Camera Modules - Types and Application for ADAS
  • Infrared Camera Modules - Types and Application
  • Existing Camera Supplier Comparison
  • Technology Evolution - Visible Camera Module
  • Sales Forecast to 2030 - Visible Camera Module
  • Visible Camera Performance Capabilities


8. Key Disruptors - Camera Module
  • Camera Ecosystem
  • Key Disruptors - Camera Module
  • Foresight - QuadSight Technology
  • Outsight - 3D Semantic Camera
  • SmartEye - Driver Monitoring


9. LiDAR Module
  • LiDAR Modules - Types and Application
  • Supplier Comparison
  • Technology Evolution - LiDAR Module
  • Sales Forecast to 2030 - LiDAR
  • LiDAR Performance Capabilities


10. Key Disruptors - LiDAR Module
  • LiDAR Module Ecosystem
  • Key Disruptors - LiDAR Module
  • Quanergy - 3D Time-of-flight LiDAR
  • RoboSense - LiDAR Perception Solution
  • XenoLidar - 3D LiDAR


11. Ultrasonic Sensor
  • Ultrasonic Sensors - Types and Application
  • Technology Evolution - Ultrasonic Sensors
  • Sales Forecast to 2030 - Ultrasonic Sensors
  • Ultrasonic Sensors - Performance Capability


12. Key Disruptors - Ultrasonic Sensors
  • Toposens - Ultrasonic 3D Echolocation Sensor


13. Growth Opportunities and Companies to Action
  • Growth Opportunity - Investments and Partnerships from OEMs/TSPs
  • Strategic Imperatives for Success and Growth
  • Last Word


14. Key Conclusions
  • Legal Disclaimer


15. Appendix
  • Market Engineering Methodology
  • Abbreviations and Acronyms
  • List of Exhibits

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Arbe
  • Cognitive Pilot
  • Foresight
  • Metawave
  • Outsight
  • Quanergy
  • RoboSense
  • SmartEye
  • Toposens
  • XenoLidar