Driving to a future without accidents? Connected automated vehicles impact on accident frequency and motor insurance risk

Road traffic accidents are largely driven by human error; therefore, the development of connected automated vehicles (CAV) is expected to signiicantly reduce accident risk. However, these changes are by no means proven and linear as diferent levels of automation show risk-related idiosyncrasies. A lack of empirical data aggravates the transparent evaluation of risk arising from CAVs with higher levels of automation capability. Nevertheless, it is likely that the risks associated with CAV will profoundly reshape the risk proile of the global motor insurance industry. This paper conducts a deep qualitative analysis of the impact of progressive vehicle automation and interconnectedness on the risks covered under motor third-party and comprehensive insurance policies. This analysis is enhanced by an assessment of potential emerging risks such as the risk of cyber-attacks. We ind that, in particular, primary insurers focusing on private retail motor insurance face signiicant strategic risks to their business model. The results of this analysis are not only relevant for insurance but also from a regulatory perspective as we ind a symbiotic relationship between an insurance-related assessment and a comprehensive evaluation of CAV’s inherent societal costs