Advance Driver Assistance System (ADAS) and Autonomous Driving (AD) Market

Edition 2018

ADAS and Autonomous Driving: Analysis on SAE Automation Level 1 to Level 5, Passenger and Commercial Vehicles, OEM and Aftermarket, Sensing Technologies Trend, and Analog & Digital Semiconductor Content Market

We estimate that ~63.9 million passenger cars will be sold with some kind of autonomous features by 2030

By 2030, there will be more cars sold globally with ADAS features than without. Specifically, ~30 million cars will be ADAS featured, ~24 million cars will be with Level 2 capability, ~6 million cars with Level 3 features, and 5.3 million cars will be highly autonomous and driverless

Autonomous driving or autonomous vehicle along with the ADAS is poised to change the complete auto industry dynamics in next 5 to 10 years. The change will not be restricted to the auto makers or suppliers or dealers. The change will be phenomenal which will impact the manufacturing industry, telecom industry, financial districts, insurance hubs, political dynamics, and technology clusters across the globe. Today, vehicle automation is in the form of advance driver assistance system but with the recent introduction of partial automation systems or Level 2 systems the change is already in its way.

In the last 24 months, the industry has witnessed acceleration in development strategies in form of technological advancements, mergers and acquisitions, partnerships and collaborations, and expansions. All of the strategic developments by different players across the industry supply-chain ensure they are not let behind in the race to develop and deploy driverless cars. The scale of some of these transactions underlines the seriousness with which all stakeholders are approaching the issue. What was once thought to be science fiction is likely to become a reality much sooner than most people are aware.

The report focuses on the below broader sections of the market –

  • 1. Changing dynamics of the auto industry

    • Key benefits, drivers, challenges, and opportunities in adoption of ADAS & autonomous driving
    • Public funding projects
    • Autonomous driving from customer’s perspective
    • Impact of ADAS & autonomous driving on auto industry as a whole
    • Regulations and its impact of ADAS & autonomous driving, by country level assessment
    • Mobility-as-a-service, EV, and ADAS & autonomous driving –  correlation and impact
  • 2. Increasing competition in the market

    • ADAS & autonomous vehicle industry value chain
    • Recent strategic developments and its impact
    • OEMs & competition
    • Technology suppliers & competition
    • Biggest R&D spenders
    • Assessment of OEMs and suppliers strategies
    • Company profiles – OEMs & technology suppliers
  • 3. ADAS market estimation and forecasts – country level analysis

  • 4. Autonomous driving market estimation and forecasts

    • SAE level 2 to level 5 vehicle sales estimation and forecasts
    • Country level vehicle sales analysis for SAE level 2 to level 5
  • 5. Penetration of ADAS and autonomous driving technology in auto sales

    • Global and country level ADAS and autonomous driving technology (SAE level 1 to level 5) market penetration
  • 6. Market estimation and forecast of analog semiconductor content in ADAS and autonomous driving

    • Individual sensors and sensor fusion technology market assessment for ADAS and autonomous driving
    • Sensors covered – camera, radar, ultrasonic, and LiDAR

Report Highlights

Pages Analysis:

300+
Companies Analysed:

250+
Data Tables:

180+
Infograhs:

150+
Exclusive Interviews:

60+
Companies Profiled:

30+
Market Segmentation:

5 Level
Regions Analyzed:

5+
Countries Analysis:

10+

Quick Access

  1. What is the status of vehicle automation in 2016 and 2017? And how will it change over the period of next 20 years?
  2. Which markets are currently leading in vehicle automation and which markets are expected to make significant difference in the future?
  3. Which type of ADAS and Level 2 solutions are currently being developed by the Tier 1 suppliers and what kind of sensors are being used in such solutions?
  4. What is the penetration rate of SAE Level 1 and 2 in car sales across different markets in 2016 and 2017? And what is the expected penetration rate of SAE Level 3 and above solutions across different geographies and markets between 2019 and 2030?
  5. Which OEMs lead L2 deployment in 2016 and 2017 and why?
  6. What changes in 2017 in terms of deployment of L2 and L3?
  7. What are the regulatory and engineering challenges carmakers face for the deployment of higher level of vehicle autonomy?
  8. What is the status of Autonomous Driving regulation in major car markets?
  9. What are the differences in the legal and regulatory framework in Europe and the United States and how this will it affect L3-5 deployment?
  10. Which geography presents the most favorable environment for deployment of Level 3- 5?
  11. What breakthroughs are required in the area of SW/HW and validation for L3-5?
  12. How carmakers, Tier-1s and new-entrants, including tech giants plan to overcome the challenges and commercialize autonomous driving?
  13. How do leading OEMs plan to achieve L4/5 capabilities and when?
  14. What are the major OEM strategies, new business models and key collaborations?
  15. Why leading Tier-1s are well positioned to monetize ADAS growth?
  16. Who will lead and who will follow in the autonomous vehicle race?
  17. What are the trends by ADAS levels in Top Premium OEMs’ model range during 2016-17?
  18. Which are the recent mergers and acquisitions by the players across the ecosystem that has the potential to highly impact the autonomous driving market?
  19. What are the different sensor fusion technologies expected to launch in the recent future?
  20. Which type of sensors market among camera, radar, ultrasonic, and LiDAR will be highly profitable?
  21. What are the sales, market size, and pricing trend of sensing technologies in ADAS and autonomous driving market from 2016 to 2030?
  22. Which type of emerging sensing technologies will be a threat for the current technologies in the market?

The report is a comprehensive, 360 degree look at the ADAS and autonomous vehicles industry. This research study is an outcome of 12 months of desk research which includes extensive use of secondary research directories and databases. By interviewing the marketplace and leveraging M14 Automotive Intelligence experience as a global thought leaders in automotive industry and skills in forecasting and analysis, we are confident that we have constructed the most comprehensive and insightful research study on ADAS and Autonomous Vehicles available in the market. The research methodology adopted for the study is based on the following outlined building blocks.

  1. Ecosystem analysis

This stage of research focuses on understanding, analyzing, and shortlisting leading players operating in the ADAS and Autonomous Cars industry – OEMs, Tier 1 Suppliers, Tier 2 Suppliers, and other Technology Providers (14 – OEMS and 256 Technology Providers Analyzed). The organic and inorganic growth strategies adopted by these players across the value chain are analyzed, which are product developments and launches, strategic partnerships, expansions, and mergers and acquisitions. This stage also includes the analysis of regulatory frameworks in place, safety ratings, and market readiness in different countries across all the major geographies

  1. Supply and demand side analysis

This stage of research focuses on identifying historical PC sales trend and estimating the future trend of sales demand. The supply and demand of components used in the ADAS and Autonomous Vehicle and the timeline of the launch of products and services are also analyzed in this phase of the research.

  1. Technological analysis

Examining the different technological features and building blocks of ADAS and Autonomous driving solutions available in the market is done this phase of the research. The technology cost and sales model with the market impact is also critically analyzed in the technological analysis phase of the research.

  1. Estimation and forecast

With all sales data, adoption rates, market penetration rates, market trends, factors and future impacts available, the estimation and forecasting on this available data is conducted using proprietary trend tracking model.

  1. Validating and precision making

The validating of our research study and sourcing other related information is done by interviewing industry experts and company insiders along with the industry stakeholders. The information and data points sourced through interview process is approximately 40% of the total research process.

  1. Passenger Cars (PC) Production and Sales Analyzed
  2. SAE Levels of Autonomy Analyzed
    1. SAE Level 0 – No Automation
    2. SAE Level 1 – Advanced Driver Assistance (ADAS)
    3. SAE Level 2 – Partial Automation
    4. SAE Level 3 – Conditional Automation
    5. SAE Level 4 – High Automation
    6. SAE Level 5 – Full Automation/Driverless Cars
  3. ADAS and Autonomous Driving Analog Semiconductor Content (Sensors) Analyzed

a. Camera Sensor or Image Sensing

The camera sensor used in ADAS and Autonomous driving is analyzed based on the technology of camera sensing – Monocular Camera, Stereo Camera, and Tri-focal Camera. The camera positioning in an autonomous car is also analyzed which includes – driver monitoring or in-dash camera, front-view camera, rear-view camera, and surround-view camera.

 b. Ultrasonic Sensor

 c. Radar Sensor

The radar sensor used in ADAS and Autonomous driving solutions is analyzed based on the technology of radar sensing – short-range radar and medium and long-range radar.

  d. LiDAR Sensor

The LiDAR sensor used in Autonomous driving solutions is analyzed based on the technology of LiDARs developed in the market – mechanical or rotating LiDAR and solid-state LiDAR. Qualitative information on technologies such as scanning MEMS mirror LiDAR, flash LiDAR, non-scanning LiDAR, and IR LiDAR is also covered extensively in the report.

   e. Artificial Intelligence & Sensing Algorithms

   f. Sensor Fusion

  1. Regional and Country-level Markets Analyzed

7 Regions Analyzed are – NAFTA, Western Europe, Asia Pacific, Central & South America, Eastern & Central Europe, Middle East and Africa

10+ Countries Analyzed – U.S., Germany, Japan, China, and U.K. among others

  1. OEMs Analyzed

BMW, Daimler, FCA, Ford, GM, PSA, Honda, Hyundai, Kia, Renault-Nissan, Suzuki, Tesla, Toyota, Volkswagen, Volvo, and new entrants

  1. Technology Suppliers Analyzed

More than 250 players analyzed among Tier 1s, Tier 2s, Shared Mobility providers, Mapping & Navigation Providers, and other technology players. Few of the 30 profiled companies are Bosch, Continental, Denso, Delhi, Qualcomm, Mobileye, Baidu, and Velodyne among many others.

Key Questions Report Answers
  1. What is the status of vehicle automation in 2016 and 2017? And how will it change over the period of next 20 years?
  2. Which markets are currently leading in vehicle automation and which markets are expected to make significant difference in the future?
  3. Which type of ADAS and Level 2 solutions are currently being developed by the Tier 1 suppliers and what kind of sensors are being used in such solutions?
  4. What is the penetration rate of SAE Level 1 and 2 in car sales across different markets in 2016 and 2017? And what is the expected penetration rate of SAE Level 3 and above solutions across different geographies and markets between 2019 and 2030?
  5. Which OEMs lead L2 deployment in 2016 and 2017 and why?
  6. What changes in 2017 in terms of deployment of L2 and L3?
  7. What are the regulatory and engineering challenges carmakers face for the deployment of higher level of vehicle autonomy?
  8. What is the status of Autonomous Driving regulation in major car markets?
  9. What are the differences in the legal and regulatory framework in Europe and the United States and how this will it affect L3-5 deployment?
  10. Which geography presents the most favorable environment for deployment of Level 3- 5?
  11. What breakthroughs are required in the area of SW/HW and validation for L3-5?
  12. How carmakers, Tier-1s and new-entrants, including tech giants plan to overcome the challenges and commercialize autonomous driving?
  13. How do leading OEMs plan to achieve L4/5 capabilities and when?
  14. What are the major OEM strategies, new business models and key collaborations?
  15. Why leading Tier-1s are well positioned to monetize ADAS growth?
  16. Who will lead and who will follow in the autonomous vehicle race?
  17. What are the trends by ADAS levels in Top Premium OEMs’ model range during 2016-17?
  18. Which are the recent mergers and acquisitions by the players across the ecosystem that has the potential to highly impact the autonomous driving market?
  19. What are the different sensor fusion technologies expected to launch in the recent future?
  20. Which type of sensors market among camera, radar, ultrasonic, and LiDAR will be highly profitable?
  21. What are the sales, market size, and pricing trend of sensing technologies in ADAS and autonomous driving market from 2016 to 2030?
  22. Which type of emerging sensing technologies will be a threat for the current technologies in the market?
Research Methodology

The report is a comprehensive, 360 degree look at the ADAS and autonomous vehicles industry. This research study is an outcome of 12 months of desk research which includes extensive use of secondary research directories and databases. By interviewing the marketplace and leveraging M14 Automotive Intelligence experience as a global thought leaders in automotive industry and skills in forecasting and analysis, we are confident that we have constructed the most comprehensive and insightful research study on ADAS and Autonomous Vehicles available in the market. The research methodology adopted for the study is based on the following outlined building blocks.

  1. Ecosystem analysis

This stage of research focuses on understanding, analyzing, and shortlisting leading players operating in the ADAS and Autonomous Cars industry – OEMs, Tier 1 Suppliers, Tier 2 Suppliers, and other Technology Providers (14 – OEMS and 256 Technology Providers Analyzed). The organic and inorganic growth strategies adopted by these players across the value chain are analyzed, which are product developments and launches, strategic partnerships, expansions, and mergers and acquisitions. This stage also includes the analysis of regulatory frameworks in place, safety ratings, and market readiness in different countries across all the major geographies

  1. Supply and demand side analysis

This stage of research focuses on identifying historical PC sales trend and estimating the future trend of sales demand. The supply and demand of components used in the ADAS and Autonomous Vehicle and the timeline of the launch of products and services are also analyzed in this phase of the research.

  1. Technological analysis

Examining the different technological features and building blocks of ADAS and Autonomous driving solutions available in the market is done this phase of the research. The technology cost and sales model with the market impact is also critically analyzed in the technological analysis phase of the research.

  1. Estimation and forecast

With all sales data, adoption rates, market penetration rates, market trends, factors and future impacts available, the estimation and forecasting on this available data is conducted using proprietary trend tracking model.

  1. Validating and precision making

The validating of our research study and sourcing other related information is done by interviewing industry experts and company insiders along with the industry stakeholders. The information and data points sourced through interview process is approximately 40% of the total research process.

Scope and Coverage
  1. Passenger Cars (PC) Production and Sales Analyzed
  2. SAE Levels of Autonomy Analyzed
    1. SAE Level 0 – No Automation
    2. SAE Level 1 – Advanced Driver Assistance (ADAS)
    3. SAE Level 2 – Partial Automation
    4. SAE Level 3 – Conditional Automation
    5. SAE Level 4 – High Automation
    6. SAE Level 5 – Full Automation/Driverless Cars
  3. ADAS and Autonomous Driving Analog Semiconductor Content (Sensors) Analyzed

a. Camera Sensor or Image Sensing

The camera sensor used in ADAS and Autonomous driving is analyzed based on the technology of camera sensing – Monocular Camera, Stereo Camera, and Tri-focal Camera. The camera positioning in an autonomous car is also analyzed which includes – driver monitoring or in-dash camera, front-view camera, rear-view camera, and surround-view camera.

 b. Ultrasonic Sensor

 c. Radar Sensor

The radar sensor used in ADAS and Autonomous driving solutions is analyzed based on the technology of radar sensing – short-range radar and medium and long-range radar.

  d. LiDAR Sensor

The LiDAR sensor used in Autonomous driving solutions is analyzed based on the technology of LiDARs developed in the market – mechanical or rotating LiDAR and solid-state LiDAR. Qualitative information on technologies such as scanning MEMS mirror LiDAR, flash LiDAR, non-scanning LiDAR, and IR LiDAR is also covered extensively in the report.

   e. Artificial Intelligence & Sensing Algorithms

   f. Sensor Fusion

  1. Regional and Country-level Markets Analyzed

7 Regions Analyzed are – NAFTA, Western Europe, Asia Pacific, Central & South America, Eastern & Central Europe, Middle East and Africa

10+ Countries Analyzed – U.S., Germany, Japan, China, and U.K. among others

  1. OEMs Analyzed

BMW, Daimler, FCA, Ford, GM, PSA, Honda, Hyundai, Kia, Renault-Nissan, Suzuki, Tesla, Toyota, Volkswagen, Volvo, and new entrants

  1. Technology Suppliers Analyzed

More than 250 players analyzed among Tier 1s, Tier 2s, Shared Mobility providers, Mapping & Navigation Providers, and other technology players. Few of the 30 profiled companies are Bosch, Continental, Denso, Delhi, Qualcomm, Mobileye, Baidu, and Velodyne among many others.

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