Skip to main content

Growing market for advanced driver assistance systems

Analysis from Research and Markets forecasts the global ADAS market to grow at a CAGR of 24.97 per cent over the period 2014-2019. ADAS are systems that support, complement, or substitute the driver of a vehicle. They use radar and cameras to assist the drivers by providing real-time information about the surroundings. These systems help drivers to avoid collisions and accidents. OEMs are focusing on adopting advanced safety features such as ADAS because of growing government regulations focused on the s
June 8, 2015 Read time: 2 mins
Analysis from 7527 Research and Markets forecasts the global ADAS market to grow at a CAGR of 24.97 per cent over the period 2014-2019.

ADAS are systems that support, complement, or substitute the driver of a vehicle. They use radar and cameras to assist the drivers by providing real-time information about the surroundings. These systems help drivers to avoid collisions and accidents. OEMs are focusing on adopting advanced safety features such as ADAS because of growing government regulations focused on the safety of passengers and drivers.

The report segments the global ADAS market into seven categories: Tyre pressure monitoring system (TPMS), park assistance system (PAS), adaptive cruise control (ACC), blind spot detection (BSD), night vision system (NVS), lane departure warning system (LDWS), and others (including adaptive front lighting, drowsiness monitor, forward collision warning, head-up display, and driver monitoring systems). These are sets of methodologies and technologies that transform unstructured and structured data into meaningful and useful information processes.

Increased demand from the developing countries for night vision systems and blind spot detection in vehicles is one of the key trends being observed in this market. Improved economic conditions in these countries, growing safety concerns among consumers, and increased road accidents as a result of poor visibility at night, while changing lanes, or merging with traffic have increased the demand for ADAS.

According to the report, the growing concern among consumers about automobile safety has resulted in increased demand for ADAS. The demand for in-vehicle electronic devices such as cameras, radar systems, and sensors that are used to examine road conditions and help to avoid accidents has increased.

The report also states that the high cost of ADAS because of the implementation of expensive technologies and systems such as cameras, sensors and radar and the high maintenance cost associated with the proper functioning of these systems hinder their sales. This limits their usage to luxury vehicles.

For more information on companies in this article

Related Content

  • Global ANPR detection equipment market to reach nearly US$1 billion in 2020
    February 6, 2017
    The latest report from IHS Markit aims to identify current market trends and key opportunities across various product types, end-user verticals and geographic regions that comprise the market for automated number plate recognition (ANPR) and detection sensors. The report, ANPR and Detection Sensors Report – 2017, provides an updated analysis on the competitive environment, along with detailed revenue, unit shipment, and average selling price analyses for three ANPR product types and five detection senso
  • Top 5 trends in vision technology
    June 24, 2021
    Artificial intelligence and deep learning algorithms are among the major trends having an impact on road traffic enforcement, according to leading companies in the vision sector
  • The benefits of Lidar
    March 21, 2022

    While Lidar is gaining ground in the ITS industry, it has not yet reached the level of mass adoption where it shows up frequently in requests for proposals (RFPs) from cities and DoTs.

  • ITS need not reinvent machine vision
    October 29, 2014
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val