1.1    Industry Outlook
1.1.1    Overview
1.1.1.1    ADAS Overview
1.1.1.2    Autonomous Driving Overview
1.2    Current Laws and Regulatory Bodies Related to Autonomous Vehicles by Country
1.2.1    Current Laws and Regulatory Bodies Related to Testing or Experimentation of Autonomous Vehicles by Country
1.2.2    Regulatory Agencies for Driverless Vehicle
1.3    Supply Chain Analysis
1.3.1    Supply Chain Analysis: Camera
1.3.2    Supply Chain Analysis: Radar
1.3.3    Supply Chain Analysis: Ultrasonic Sensors
1.3.4    Supply Chain Analysis: LiDAR
1.3.5    Supply Chain Analysis: ECU
1.4    Business Dynamics
1.4.1    Market Drivers
1.4.1.1    Increasing Technological Developments and Advancements in ADAS Systems
1.4.1.2    Rising Developments in Connected Infrastructure and Intelligent Transportation System
1.4.1.3    Demand for ADAS Features in Commercial Vehicles
1.4.1.4    Growing Concerns and Measures Over Road Safety
1.4.2    Market Restraints
1.4.2.1    Reliability Issues and Rising Cyber Threats in Autonomous Vehicle
1.4.2.2    High Cost Associated with LiDARs
1.4.2.3    Lack of Government Rules and Regulations in Developing Regions
1.4.2.4    Impact of Coronavirus Disease (COVID-19) on ADAS and Autonomous Driving Component Market
1.4.3    Business Strategies
1.4.3.1    Product Development
1.4.3.2    Business Expansion
1.4.4    Corporate Strategies
1.4.4.1    Mergers and Acquisitions
1.4.5    Key Developments by Automotive OEMs, Autonomous Technology Providers, and Software Providers in Autonomous Driving Industry
1.4.6    Market Opportunities
1.4.6.1    Impact of 5G Technology Enhancing Autonomous Driving Components
1.4.6.2    Increasing Adoption of Autonomous Vehicles in Shared Mobility
1.4.6.3    Rising Focus Toward Vehicle Platooning

2.1    ADAS and Autonomous Driving Component Market (by Application)
2.1.1    ADAS and Autonomous Driving Component Market (by Level of Autonomy)
2.1.1.1    Level 1 (Advance Driving Assist System – ADAS)
2.1.1.2    Level 2 (Partial Automation)
2.1.1.3    Level 3 (Conditional Automation)
2.1.1.4    Level 4 (High Automation)
2.1.1.5    Level 5 (Full Automation)
2.1.2    Global ADAS and Autonomous Driving Component Market (by Vehicle Type)
2.1.2.1    Passenger Vehicle
2.1.2.2    Light Commercial Vehicle
2.1.2.3    Heavy Trucks
2.1.2.4    Heavy Buses
2.2    Demand Analysis for ADAS and Autonomous Driving Component Market (by Application), 2019-2030
2.2.1    Demand Analysis for ADAS and Autonomous Driving Component Market (by Level of Autonomy), 2019-2030
2.2.1.1    Level 1 Autonomy
2.2.1.2    Level 2 Autonomy
2.2.1.3    Level 3 Autonomy
2.2.1.4    Level 4 Autonomy
2.2.1.5    Level 5 Autonomy
2.2.2    Demand Analysis for ADAS and Autonomous Driving Component Market (by Vehicle Type)
2.2.2.1    Passenger Vehicles
2.2.2.2    Light Commercial Vehicles
2.2.2.3    Heavy Trucks
2.2.2.4    Heavy Buses

3.1    Global ADAS and Autonomous Driving Component Market (by Component)
3.1.1    Camera
3.1.1.1    Camera Market (by Function)
3.1.1.1.1    Front-View Camera
3.1.1.1.2    Rear-View Camera
3.1.1.1.3    Side-View Camera
3.1.1.1.4    In-Vehicle Camera
3.1.1.2    Camera Market by Type
3.1.1.2.1    Monocular Camera
3.1.1.2.2    Stereo-Vision Camera
3.1.2    Radar
3.1.2.1    Global ADAS and Autonomous Driving Radar Market (by Type)
3.1.2.1.1    Ultra-Short-Range Radar
3.1.2.1.2    Short-Range Radar
3.1.2.1.3    Medium-Range Radar
3.1.2.1.4    Long-Range Radar
3.1.3    Light Detection and Ranging
3.1.3.1    LiDAR Market (by Type)
3.1.3.1.1    Mechanical LiDAR
3.1.3.1.2    Solid-State LiDAR
3.1.4    Electronic Control Unit
3.1.4.1    ECU Market (by Capacity)
3.1.4.1.1    16-bit ECU
3.1.4.1.2    32-bit ECU
3.1.4.1.3    64-bit ECU
3.1.5    Ultrasonic Sensor
3.2    Demand Analysis for ADAS and Autonomous Driving Component Market (by Component Type)
3.2.1    Camera
3.2.2    Radar
3.2.3    LiDAR
3.2.4    Electronic Control Unit
3.2.5    Ultrasonic Sensor
3.3    Pricing Analysis
3.3.1    Introduction
3.3.2    Camera
3.3.3    Radar
3.3.4    LiDAR
3.3.5    Ultrasonic Sensor
3.3.6    ECU
3.4    Patent Analysis
3.4.1    Introduction
3.4.2    Patent Landscape
3.4.2.1    Patent Landscape: ADAS and Autonomous Driving Radar
3.4.2.2    Patent Landscape: ADAS and Autonomous Driving Camera
3.4.2.3    Patent Landscape: ADAS and Autonomous Driving LiDAR
3.4.2.4    Patent Landscape: ADAS and Autonomous Driving ECU
3.4.2.5    Patent Landscape: ADAS and Autonomous Driving Ultrasonic Sensor

4.1    North America
4.1.1    Market
4.1.1.1    Key Manufacturers and Suppliers in North America
4.1.1.2    Business Challenges
4.1.1.3    Business Drivers
4.1.2    Application
4.1.2.1    North America ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.1.2.2    North America ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.1.3    Product
4.1.3.1    North America ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data
4.1.4    North America (by Country)
4.1.4.1    U.S.
4.1.4.1.1    Market
4.1.4.1.1.1    Buyers Attributes
4.1.4.1.1.2    Key Manufactures and Suppliers in the U.S.
4.1.4.1.1.3    Business Challenges
4.1.4.1.1.4    Business Drivers
4.1.4.1.2    Application
4.1.4.1.2.1    U.S. ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.1.4.1.3    Product
4.1.4.1.3.1    U.S. ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.1.4.2    Canada
4.1.4.2.1    Market
4.1.4.2.1.1    Buyers Attributes
4.1.4.2.1.2    Key Manufactures and Suppliers in Canada
4.1.4.2.1.3    Business Challenges
4.1.4.2.1.4    Business Drivers
4.1.4.2.2    Application
4.1.4.2.2.1    Canada ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.1.4.2.3    Product
4.1.4.2.3.1    Canada ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.1.4.3    Mexico
4.1.4.3.1    Market
4.1.4.3.1.1    Buyer Attributes
4.1.4.3.1.2    Key Manufacturers and Suppliers in Mexico
4.1.4.3.1.3    Business Challenges
4.1.4.3.1.4    Business Drivers
4.1.4.3.2    Application
4.1.4.3.2.1    Mexico ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.1.4.3.3    Product
4.1.4.3.3.1    Mexico ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.2    Europe
4.2.1    Market
4.2.1.1    Key Manufacturers and Suppliers in Europe
4.2.1.2    Business Challenges
4.2.1.3    Business Drivers
4.2.2    Application
4.2.2.1    Europe ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.2.2.2    Europe ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.2.3    Product
4.2.3.1    Europe ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data
4.2.4    Europe (by Country)
4.2.4.1    Germany
4.2.4.1.1    Market
4.2.4.1.1.1    Buyers Attributes
4.2.4.1.1.2    Key Manufactures and Suppliers in Germany
4.2.4.1.1.3    Business Challenges
4.2.4.1.1.4    Business Drivers
4.2.4.1.2    Application
4.2.4.1.2.1    Germany ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.2.4.1.3    Product
4.2.4.1.3.1    Germany ADAS and Autonomous Driving Component Market (by Component Type), Volume and Value Data
4.2.4.2    Netherlands
4.2.4.2.1    Market
4.2.4.2.1.1    Buyers Attributes
4.2.4.2.1.2    Key Manufactures and Suppliers in the Netherlands
4.2.4.2.1.3    Business Challenges
4.2.4.2.1.4    Business Drivers
4.2.4.2.2    Application
4.2.4.2.2.1    Netherlands ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.2.4.2.3    Product
4.2.4.2.3.1    Netherlands ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.2.4.3    Rest-of-Europe
4.2.4.3.1    Application
4.2.4.3.1.1    Rest-of-Europe ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.2.4.3.2    Product
4.2.4.3.2.1    Rest-of-Europe ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.3    U.K.
4.3.1    Market
4.3.1.1    Buyers Attributes
4.3.1.2    Key Manufacturers and Suppliers in the U.K.
4.3.1.3    Business Challenges
4.3.1.4    Business Drivers
4.3.2    Application
4.3.2.1    U.K. ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.3.2.2    U.K. ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.3.3    Product
4.3.3.1    U.K. ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data
4.4    Asia-Pacific and Japan (APJ)
4.4.1    Market
4.4.1.1    Key Manufacturers and Suppliers in Asia-Pacific and Japan
4.4.1.2    Business Challenges
4.4.1.3    Business Drivers
4.4.2    Application
4.4.2.1    APJ ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.4.2.2    APJ ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.4.3    Product
4.4.3.1    APJ ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data
4.4.4    Asia-Pacific and Japan (by Country)
4.4.4.1    Japan
4.4.4.1.1    Market
4.4.4.1.1.1    Buyers Attributes
4.4.4.1.1.2    Key Manufactures and Suppliers in Japan
4.4.4.1.1.3    Business Challenges
4.4.4.1.1.4    Business Drivers
4.4.4.1.2    Application
4.4.4.1.2.1    Japan ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.4.4.1.3    Product
4.4.4.1.3.1    Japan ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.4.4.2    South Korea
4.4.4.2.1    Market
4.4.4.2.1.1    Buyers Attributes
4.4.4.2.1.2    Key Manufactures and Suppliers in South Korea
4.4.4.2.1.3    Business Challenges
4.4.4.2.1.4    Business Drivers
4.4.4.2.2    Application
4.4.4.2.2.1    South Korea ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.4.4.2.3    Product
4.4.4.2.3.1    South Korea ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.4.4.3    Rest-of-Asia-Pacific and Japan
4.4.4.3.1    Market
4.4.4.3.1.1    Buyers Attributes
4.4.4.3.1.2    Key Manufactures and Suppliers in Rest-of-Asia-Pacific and Japan
4.4.4.3.1.3    Business Challenges
4.4.4.3.1.4    Business Drivers
4.4.4.3.2    Application
4.4.4.3.2.1    Rest-of-APJ ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.4.4.3.3    Product
4.4.4.3.3.1    Rest-of-APJ ADAS and Autonomous Driving Component Market (by Component Type), Volume Data
4.5    China
4.5.1    Market
4.5.1.1    Buyers Attributes
4.5.1.2    Key Manufacturers and Suppliers in China
4.5.1.3    Business Challenges
4.5.1.4    Business Drivers
4.5.2    Application
4.5.2.1    China ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.5.2.2    China ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.5.3    Product
4.5.3.1    China ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data
4.6    South America
4.6.1    Market
4.6.1.1    Buyers Attributes
4.6.1.2    Key Manufacturers and Suppliers in South America
4.6.1.3    Business Challenges
4.6.1.4    Business Drivers
4.6.2    Application
4.6.2.1    South America ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.6.2.2    South America ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.6.3    Product
4.6.3.1    South America ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data
4.7    Middle East and Africa
4.7.1    Market
4.7.1.1    Buyers Attributes
4.7.1.2    Key Manufacturers and Suppliers in Middle East and Africa
4.7.1.3    Business Challenges
4.7.1.4    Business Drivers
4.7.2    Application
4.7.2.1    MEA ADAS and Autonomous Driving Component Market Demand (by Application), Volume and Value Data
4.7.2.2    MEA ADAS and Autonomous Driving Component Market Demand (Level of Autonomy by Vehicle Type), Volume and Value Data
4.7.3    Product
4.7.3.1    MEA ADAS and Autonomous Driving Component Market Demand (by Component Type), Volume Data

5.1    Competitive Benchmarking
5.2    Company Profiles
5.2.1    Analog Devices, Inc.
5.2.1.1    Company Overview
5.2.1.1.1    Product Portfolio
5.2.1.2    Business Strategies
5.2.1.2.1    Market Development
5.2.1.3    Competitive Position
5.2.1.3.1    Strengths of the Company
5.2.1.3.2    Weaknesses of the Company
5.2.2    Aptiv
5.2.2.1    Company Overview
5.2.2.1.1    Product Portfolio
5.2.2.2    Corporate Strategies
5.2.2.2.1    Partnerships and Collaborations
5.2.2.3    Competitive Position
5.2.2.3.1    Strengths of the Company
5.2.2.3.2    Weakness of the Company
5.2.3    Continental AG
5.2.3.1    Company Overview
5.2.3.1.1    Product Portfolio
5.2.3.2    Corporate Strategies
5.2.3.2.1    Partnerships and Collaborations
5.2.3.3    Competitive Position
5.2.3.3.1    Strengths of the Company
5.2.3.3.2    Weakness of the Company
5.2.4    Robert Bosch GmbH
5.2.4.1    Company Overview
5.2.4.1.1    Product Portfolio
5.2.4.2    Competitive Position
5.2.4.2.1    Strengths of the Company
5.2.4.2.2    Weaknesses of the Company
5.2.5    ZF Friedrichshafen AG
5.2.5.1    Company Overview
5.2.5.1.1    Product Portfolio
5.2.5.2    Corporate Strategies
5.2.5.2.1    Partnerships and Collaborations
5.2.5.3    Competitive Position
5.2.5.3.1    Strengths of the Company
5.2.5.3.2    Weaknesses of the Company
5.2.6    Valeo
5.2.6.1    Company Overview
5.2.6.1.1    Product Portfolio
5.2.6.2    Corporate Strategies
5.2.6.2.1    Partnerships and Collaborations
5.2.6.3    Competitive Position
5.2.6.3.1    Strengths of the Company
5.2.6.3.2    Weakness of the Company
5.2.7    Texas Instruments Incorporated
5.2.7.1    Company Overview
5.2.7.1.1    Product Portfolio
5.2.7.2    Competitive Position
5.2.7.2.1    Strengths of the Company
5.2.7.2.2    Weaknesses of the Company
5.2.8    Denso Corporation
5.2.8.1    Company Overview
5.2.8.1.1    Product Portfolio
5.2.8.2    Competitive Position
5.2.8.2.1    Strengths of the Company
5.2.8.2.2    Weaknesses of the Company
5.2.9    Infineon Technologies
5.2.9.1    Company Overview
5.2.9.1.1    Product Portfolio
5.2.9.2    Competitive Position
5.2.9.2.1    Strengths of the Company
5.2.9.2.2    Weaknesses of the Company
5.2.10    Intel Corporation
5.2.10.1    Company Overview
5.2.10.1.1    Product Portfolio
5.2.10.2    Competitive Position
5.2.10.2.1    Strengths of the Company
5.2.10.2.2    Weaknesses of the Company
5.2.11    LeddarTech Inc.
5.2.11.1    Company Overview
5.2.11.1.1    Product Portfolio
5.2.11.2    Corporate Strategies
5.2.11.2.1    Partnerships and Collaborations
5.2.11.3    Competitive Position
5.2.11.3.1    Strengths of the Company
5.2.11.3.2    Weaknesses of the Company
5.2.12    Magna International Inc.
5.2.12.1    Company Overview
5.2.12.1.1    Product Portfolio
5.2.12.2    Competitive Position
5.2.12.2.1    Strengths of the Company
5.2.12.2.2    Weaknesses of the Company
5.2.13    Quanergy Systems Inc.
5.2.13.1    Company Overview
5.2.13.1.1    Product Portfolio
5.2.13.2    Corporate Strategies
5.2.13.2.1    Partnerships and Collaborations
5.2.13.3    Competitive Position
5.2.13.3.1    Strengths of the Company
5.2.13.3.2    Weakness of the Company
5.2.14    Autoliv Inc.
5.2.14.1    Company Overview
5.2.14.1.1    Product Portfolio
5.2.14.3    Competitive Position
5.2.14.3.1    Strengths of the Company
5.2.14.3.2    Weaknesses of the Company
5.2.15    Velodyne LiDAR, Inc.
5.2.15.1    Company Overview
5.2.15.1.1    Product Portfolio
5.2.15.2    Corporate Strategies
5.2.15.2.1    Partnerships and Collaborations
5.2.15.3    Competitive Position
5.2.15.3.1    Strengths of the Company
5.2.15.3.2    Weaknesses of the Company

—————  Other 135 Market Players  ————-

Methodology

Research Methodology is the process used to collect information and data for the purpose of making business decisions. The success of a research project is entirely dependent on the research methodology adopted by the company. Research Methodology and Scope We have implemented a mix of primary and secondary research for our market estimate and forecast. Secondary research formed the initial phase of our study, where we conducted extensive data mining, referring to verified data sources such as independent studies, company annual reports, white papers, case studies, government and regulatory published articles, technical journals, magazines, and paid data sources. It was also used to obtain important information about the key players and market classification & segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives. A database of the key industry leaders was also prepared using secondary research.

In the primary research process, various primary sources from both supply and demand sides have been interviewed to obtain qualitative and quantitative information important for respective regions. The primary sources from the supply side included industry experts such as CEOs, VPs, marketing directors, technology and innovation directors, and related executives from key companies and organizations operating in the respective regions. The primary data has been collected through questionnaires, e-mails, and telephonic interviews, end-user surveys, consumer surveys, technology distributors and wholesaler’s surveys.

• Quantitative methods (e.g. surveys) are best for measuring, ranking, categorizing, identifying patterns and making generalizations
• Qualitative methods (e.g. interviews) are best for describing, interpreting, contextualizing, and gaining in-depth insight into specific concepts or phenomena
• Mixed methods allow for a combination of numerical measurement and in-depth exploration.

Market drivers and restraints, along with their current and expected impacts, technological scenario and expected developments, end-use industry trends and dynamics  and consumer behavior trends  these forecasting parameters were considered.

Ethical approach, attention to detail, consistency, latest trend in the market and highly authentic source these are benefits of company’s research methodology.

Market size estimation methodology top-down and bottom-up approaches

Both top-down and bottom-up approaches have been used to estimate and validate the total size of the virtual reality market. These methods have also been extensively used to estimate the sizes of various market subsegments. Estimating the size of the market in each region by adding the sizes of country-wise markets and tracking the ongoing and upcoming implementation of virtual reality projects by various companies in each region and forecasting the size of the virtual reality market based on these developments and other critical parameters, including COVID-19 related impacts

Data Triangulation

After arriving at the overall market size—using the market size estimation processes explained above—the market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. It provide detailed information regarding the major factors (drivers, restraints, opportunities, challenges, company profiles, key player strategies competitive developments and key developments) influencing the virtual reality market growth.

Statistical Model

Our market estimates and forecasts are derived through simulation models. A unique model is created customized for each study. Gathered information for market dynamics, technology landscape, application development and pricing trends is fed into the model and analyzed simultaneously. These factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression and time series analysis.