Asia Pacific Advanced Driver Assistance System (Adas) Market Forecast 2020-2028

Asia Pacific Advanced Driver Assistance System (Adas) Market Forecast 2020-2028

KEY FINDINGS

The Asia Pacific advanced driver assistance system (ADAS) market is projected to garner a CAGR of 15.23% during the forecast period, 2020-2028. The large presence of the top automotive manufactures of the world is the key factor propelling market growth in the region.

MARKET INSIGHTS

The Asia Pacific ADAS market growth is analyzed across countries like Vietnam, Thailand, South Korea, India, China, Japan, Australia & New Zealand, Indonesia, and the rest of the Asia Pacific. The Asia Pacific market region houses prominent manufacturers like Toyota Motor Corporation, Hyundai-Kia, Honda Motors, and Nissan, which is beneficial for the growth aspects of the market region. Japan is considered to be one of the major market for luxury cars in the Asia Pacific region. The automotive industry of the country houses some of the well-known global brands. Nissan launched a new product under the SUV segment, with increased active safety systems that include adaptive cruise control, forward collision braking, rear cross-traffic alert, and blind spot monitoring. The government in Japan is putting forth initiatives for enhancing the process of developing self-driven vehicles, and had allocated a considerable amount for building testing ground for autonomous vehicles. In countries like Singapore, there have been efforts to deploy autonomous driving for reducing traffic congestion. The government initiatives have also been in place for the development and innovation of the ADAS, along with autonomous vehicles.

COMPETITIVE INSIGHTS

Some of the renowned companies in the market include, Hyundai Mobis Co Ltd, Omron Corporation, Panasonic Corporation, Infineon Technologies AG, Mobileye N.V, Magna International Inc, NXP Semiconductors N.V, etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation cater to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments


1. Research Scope & Methodology
1.1. Study Objectives
1.2. Scope Of Study
1.3. Methodology
1.4. Assumptions & Limitations
2. Executive Summary
2.1. Market Size & Estimates
2.2. Market Overview
3. Market Dynamics
3.1. Introduction To Advanced Driver Assistance Systems (Adas)
3.2. Automated Driving: Five Levels Of Automotive Autonomy
3.3. Market Definition
3.4. Key Drivers
3.4.1. Stringent Government Regulations.
3.4.2. Higher Safety Demand From Customers
3.4.3. Increased Adoption From Automotive Sector
3.4.4. Growing Awareness Of Driver Assistance System
3.5. Key Restraints
3.5.1. Adas Malfunctions
3.5.2. High Costs Associated To Adas
3.5.3. Intensive Competition
3.5.4. Human Behavioral Adaptation
4. Key Analytics
4.1. Key Investment Insights
4.2. Porter’s Five Force Analysis
4.2.1. Buyer Power
4.2.2. Supplier Power
4.2.3. Substitution
4.2.4. New Entrants
4.2.5. Industry Rivalry
4.3. Opportunity Matrix
4.4. Vendor Landscape
5. Market By Vehicle Type
5.1. Passenger Cars
5.2. Commercial Vehicles
5.2.1. Light Commercial Vehicles
5.2.2. Heavy Commercial Vehicles
6. Market By Component
6.1. Processors
6.2. Sensors
6.2.1. Image Sensors
6.2.2. Ultrasonic Sensors
6.2.3. Laser Sensors
6.2.4. Radar Sensors
6.2.5. Infrared Sensors
6.2.6. Lidar
6.3. Software
6.4. Other Component
7. Market By Level Of Automation
7.1. Level 1 (Advanced Driving Assist Systems-adas)
7.2. Level 2 (Partial Automation)
7.3. Level 3 (Conditional Automation)
7.4. Level 4 (High Automation)
7.5. Level 5 (Full Automation)
8. Market By Solutions
8.1. Parking Assistance System
8.2. Tire Pressure Monitoring System
8.3. Adaptive Front Lighting Systems
8.4. Lane Departure Warning Systems
8.5. Collision Warning Systems
8.6. Blind Spot Detection
8.7. Electronic Stability Control
8.8. Adaptive Cruise Control
8.9. Advanced Emergency Braking System
8.10. Traffic Sign Recognition Systems
8.11. Driver Drowsiness Detection
8.12. Other Solutions
9. Geographical Analysis
9.1. Asia Pacific
9.1.1. China
9.1.2. Japan
9.1.3. India
9.1.4. South Korea
9.1.5. Indonesia
9.1.6. Thailand
9.1.7. Vietnam
9.1.8. Australia & New Zealand
9.1.9. Rest Of Asia Pacific
10. Company Profiles
10.1. Aisin Seiki Co Ltd
10.2. Aptiv Plc (Formerly Delphi Automotive Plc)
10.3. Autoliv Inc
10.4. Bendix Commercial Vehicle Systems, Llc
10.5. Continental Ag
10.6. Denso Corporation
10.7. Gentex Corporation
10.8. Hella Gmbh & Co Kgaa
10.9. Hyundai Mobis Co Ltd
10.10. Infineon Technologies Ag
10.11. Magna International Inc
10.12. Mobileye N.V
10.13. Nxp Semiconductors N.V
10.14. Omron Corporation
10.15. Panasonic Corporation
10.16. Renesas Electronic Corporation
10.17. Robert Bosch Gmbh
10.18. Samsung Electronics Co Ltd
10.19. Texas Instruments Incorporated
10.20. Valeo S.A.
10.21. Wabco Holdings Inc
10.22. Zf Friedrichshafen Ag

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