The Global ADAS & Autonomous Driving Components Market size was valued at around USD 34.68 billion in 2024 and is expected to reach USD 64.17 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 10.80% during the forecast period, i.e., 2025-30. According to MarkNtel Advisors Study.

Global ADAS & Autonomous Driving Components Market Driver:

Stringent Safety Standards & the Mounting Demand for Autonomous Vehicles – Governments of various countries worldwide are mandating the integration of advanced safety features in vehicles, such as LDW (Lane Departure Warning) & AEB (Automatic Emergency Braking), to provide drivers with enhanced safety & comfort and reduce the rising number of road accidents. Several consumers are showing greater interest in autonomous vehicles integrated with advanced technologies like LiDAR, radar sensors, ultrasonic sensors, & HD cameras for data collection that help increase driving accuracy. These ongoing trends in the automotive sector are the major aspects projected to drive the Global ADAS & Autonomous Driving Components Market during 2025-30.

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Key Market Reports Highlights

·        Market Dimensions & Projections

·        Pricing Evaluation

·        Recent Strategic Moves by Companies

·        Primary Stakeholders

·        Import/Export Trend Analysis

·        Competitive Landscape Assessment

·        Emerging Opportunities

·        Market Trends and Indicators

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Global ADAS & Autonomous Driving Components Market Segmentation:

The market report categorizes the market based on different segments and geographical analysis.

Study Timeline:

-Base Year: 2024

-Historical Period: 2020 to 2023

-Forecast Period: 2025 to 2030

• By Level of Automation
  • Level 1 (Advanced Driving Assist Systems)
  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)
• By Vehicle Type
  • Passenger Car
  • Commercial Vehicle
    • Light Commercial Vehicle
    • Medium Weight Commercial Vehicle
    • Heavy Commercial Vehicle
    • Ultra Heavy Commercial Vehicle 
• By Components Type
  • Camera
  • Radar
  • Ultrasonic Sensors
  • LiDAR
    • Mechanical Automotive LiDAR
    • Solid State Automotive LiDAR
  • Electronic Control Unit
• By System
  • Adaptive Cruise Control (ACC)
  • Adaptive Front Light (AFL)
  • Automatic Emergency Braking (AEB)
  • Blind Spot Detection (BSD)
  • Cross Traffic Alert (CTA)
  • Driver Monitoring System (DMS)
  • Forward Collision Warning (FCW)
  • Intelligent Park Assist (IPA)
  • Lane Departure Warning (LDW)
  • Night Vision System (NVS)
  • Pedestrian Detection System (PDS)
  • Road Sign Recognition (Rsr)
  • Tire Pressure Monitoring System (TPMS)
  • Traffic Jam Assist (TJA)
• By Region
  • North America
  • South America
  • Asia-Pacific
  • Europe
  • Middle East & Africa  

Competitive Landscape

With strategic initiatives, such as mergers, collaborations, and acquisitions, the leading market companies, including - Analog Devices Inc., Autoliv Inc, Continental AG, Delphi Automotive PLC, DENSO Corporation, HERE, IBEO Automotive Systems GmbH, Infineon Technologies AG, Intel Corporation, LeddarTech, and others are looking forward to strengthening their market positions.

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Global ADAS & Autonomous Driving Components Industry Recent Development:

2025: Autoliv, Inc., the worldwide leader in automotive safety systems, presented Omni Safety™, at the Shanghai International Automobile Industry Exhibition 2025. Omni Safety™ is a safety system designed to address critical risks to occupants in reclined seating positions in the event of a collision. This system integrates advanced seatbelt and airbag systems and related functionalities to redefine occupant safety.

Data-Driven Insights Backed by Proven Research

We follow a tried-and-tested research methodology that blends top-down and bottom-up approaches to deliver highly accurate market insights. Every report is powered by data triangulation, ensuring well-rounded and validated findings.

From smart sample selection and reliable data collection to in-depth analysis and precise forecasting, our process is designed to minimize error and maximize impact.

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