Skip to main content

UK insurers unprepared for driverless vehicles disruption, says KPMG report

The majority of insurers are completely unprepared for the arrival of driverless vehicles, according to a new study from KPMG. Its Autonomous Vehicle Insurer report canvassed the views of senior executives from many of the UK’s largest insurers and brokers on the impact driverless vehicles will have on their business. It found that most of them believe it will take two decades for driverless vehicles to impact the automotive sector. Despite acknowledging that driverless vehicles will touch every a
July 20, 2016 Read time: 2 mins
The majority of insurers are completely unprepared for the arrival of driverless vehicles, according to a new study from 1981 KPMG.
 
Its Autonomous Vehicle Insurer report canvassed the views of senior executives from many of the UK’s largest insurers and brokers on the impact driverless vehicles will have on their business. It found that most of them believe it will take two decades for driverless vehicles to impact the automotive sector.  

Despite acknowledging that driverless vehicles will touch every area of their business model, only one in 10 insurers have developed strategic plans, while four out of 10 said they are not making strategic investments in their business model to prepare for the arrival of this new technology.

Insurers highlighted consumer acceptance and safety standards as issues that need to be resolved before the UK sees mass adoption of driverless vehicles.

However, once this technology becomes mainstream the majority of insurers (89 per cent) believe that claims frequency and severity will decrease as a result.  
 
Murray Raisbeck, insurance partner at KPMG, said: “We are surprised that many insurers have been slow to react to the current technological changes taking place in the automotive sector.  Driverless vehicle technology will radically change the insurance market and in our view disruption will happen faster than most insurers think.”   

Raisbeck added: “Insurers need to overcome their apathy towards driverless vehicles. There are clear opportunities to develop new income streams for those firms that are prepared to step out of the pack and embrace the changes taking place in the sector.    

“Firms should model a range of scenarios around the impact autonomous vehicles will have on the market and their own business.  This will help them to identify the products that will resonate with their customers and to establish how and when these products can be developed."

For more information on companies in this article

Related Content

  • 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.

  • Transit’s Covid clean-up operation
    August 24, 2021
    The onset of Covid-19 saw ridership on public transport slump drastically. How will the organisations that provide these essential services persuade customers back on board?
  • Study reveals benefits of electric Beijing taxi fleet
    August 6, 2013
    The impact of introducing plug-in electric vehicles to the streets of Beijing, one of the world’s most polluted cities, has been examined by researchers from the University of Michigan in the ACS journal Environmental Science and Technology. They use big data mining techniques to understand the impact of fleet electrification. As part of the study, the researchers highlight that while plug-in electric vehicles have developed rapidly in recent years there are still uncertainties with regard to market accepta
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti