Skip to main content

Over 700,000 crashes avoided every year in the US thanks to ADAS, predicts new report

A new study by Ptolemus Consulting Group predicts that advanced driver assistance systems (ADAS) will have a considerable impact on safety and the potential to reduce accidents. The firm’s Autonomous Vehicle Global Study provides a comprehensive analysis of the timeline, volumes and impacts of the upcoming automation revolution. It quantifies country-by-country the roll-out of ADAS and autonomous vehicles (AVs) and estimates their impact on driver safety. By 2030, Ptolemus forecasts that there will be more
May 19, 2017 Read time: 2 mins
A new study by 8147 Ptolemus Consulting Group predicts that advanced driver assistance systems (ADAS) will have a considerable impact on safety and the potential to reduce accidents.


The firm’s Autonomous Vehicle Global Study provides a comprehensive analysis of the timeline, volumes and impacts of the upcoming automation revolution. It quantifies country-by-country the roll-out of ADAS and autonomous vehicles (AVs) and estimates their impact on driver safety.

By 2030, Ptolemus forecasts that there will be more cars on the road globally with ADAS than without: 370 million vehicles will have some automated features. This will lead to a record amount of avoided collisions. In the US alone, 767,000 crashes will be prevented every year by the end of the next decade, according to the study.

In the US, England, Germany and France ADAS packages, including frontal and lateral collision avoidance systems, already have the potential to reduce claims costs by up to 42 per cent. This could increase to more than 50 per cent when pedestrian protection and cross traffic systems are added.

Ptolemus says that despite this potential reduction in claims costs made possible by ADAS today, only two major insurance groups offer attractive rates for vehicles equipped with these systems, 6027 Allianz and Liberty Mutual.

For more information on companies in this article

Related Content

  • Motor insurance for autonomous vehicles ‘will shift from drivers to OEMs’
    October 19, 2015
    Autonomous vehicles are likely to increase insurance claims related to product parameters rather than driver liability New analysis from Frost & Sullivan, Impact of Automated Vehicles on Motor Insurance Market, finds that motor insurers will move away from the driver-centric strategy to follow one or a combination of three models as automated vehicles become common: product-centric evaluation; brand-centric evaluation; system-centric evaluation.
  • Europe lagging behind on standard ESC deployment
    February 18, 2014
    According to Frost & Sullivan, the European Electronic Stability Control (ESC) market is expected to reach a market value of close to US$2.7 billion by 2020. Among the various original equipment manufacturers (OEMs), it is the upper tiers in the pyramid that attract maximum fitment rates, with the German big three claiming close to 100 per cent fitment across the eight segments they cater to. ESC is the most dominant enabler for active and passive safety technologies. Built into a car, it is crucial to a
  • New Zealand seeks comprehensive CBA framework
    October 5, 2016
    New report highlights how assessing the financial benefit of deploying ITS is an involved and evolving calculation Following a global search, five key action areas have emerged from the New Zealand Transport Agency’s recent scoping of a more comprehensive cost–benefit analysis framework for evaluating planned ITS deployments. A report commissioned from engineering consultancy Aecom New Zealand sets out the groundwork for more closely-defined assessments that will convincingly support public-sector policy ma
  • TRL calls for EU crash data law update
    August 29, 2019
    TRL is calling for an update to UK and EU automotive legislation to allow police, insurers and road safety researchers access to event data recorder (EDR) information. EDR is the equivalent of a black box that records a range of data from safety systems fitted to the vehicle in the seconds before, during and after a collision. The data helps provide information on the actions taken before a crash – which TRL says will be vital in understanding what an autonomous vehicle or its safety driver were doing j