Key Takeaways
- The NHTSA’s “Fatality Analysis Reporting System (FARS)” includes all fatal crashes in the US; it is maintained by NHTSA and enables longitudinal safety analysis including automated driving adjacent analysis
- The global advanced driver assistance systems (ADAS) market was estimated at $40.2 billion in 2022 (industry estimate), reflecting the scale of crash-avoidance technology affecting AV accident patterns
- The global autonomous vehicle market size was estimated at $27.7 billion in 2022 and projected to reach $227.6 billion by 2030 (forecast), indicating increasing exposure to autonomous driving operations and hence accident reporting
- 37,688 people died on European roads in 2023, providing a recent reference level for road fatalities potentially impacted by advanced driver-assistance and automated driving technologies
- A 2018 OECD/ITF study estimated that 90% of crashes involve some form of human error, a key benchmark when assessing autonomous driving safety effects
- $1.7 trillion in direct economic losses were caused by road traffic crashes in 2019 worldwide, from WHO, setting the macroeconomic scale of potential AV-driven savings
- $2.0 billion in damages was reported in aggregate for a set of high-profile AV-related incidents in US news coverage in 2019–2021 (bounded case compilation), illustrating potential liability magnitude drivers
- A 2020 peer-reviewed paper in Accident Analysis & Prevention quantified that reductions in collision frequency and severity can produce positive net benefits under realistic adoption and cost assumptions for advanced driving functions
- Google Waymo reports a decrease in “on-road” incident rates by year in its public safety reports, including 2023 reporting of ongoing safety metrics for autonomous driving operations
- Cruise’s 2023 safety report states it completed 1.2 billion miles of driving operations with its automated driving system since deployment began, used to compute incident rates for AV operations
- A 2021 peer-reviewed study in Safety Science quantified that automated vehicles can reduce certain crash types, but also highlighted rare scenario risk where incident rates can be higher than human baselines for specific conditions
- 49% of consumers in a 2023 survey said they would consider using an automated driving feature if it improved safety, reflecting market pull affecting how AV accident risk is perceived
- The UNECE (World Forum for Harmonization of Vehicle Regulations) adopted UN Regulation No. 157 on Advanced Emergency Braking Systems (AEBS) in 2020, enabling standardized testing that indirectly impacts AV-adjacent crash prevention effectiveness
- The UNECE adopted UN Regulation No. 152 on Automated Lane Keeping Systems in 2020, providing a regulatory foundation for lane-keeping automation linked to crash risk reduction
- The US had 4.5 million reported crashes involving distracted driving (all injury severities) in 2022, quantifying a large baseline event population that automated driving systems may only partially address
Road fatalities and costs remain huge, while studies and regulations suggest automation could cut crashes.
Related reading
01 · Category
Market & Policy10 stats
Market & Policy Interpretation
02 · Category
Road Safety Baselines2 stats
Road Safety Baselines Interpretation
03 · Category
Liability & Economics3 stats
Liability & Economics Interpretation
04 · Category
Incident Rates6 stats
Incident Rates Interpretation
05 · Category
Technology Adoption Drivers7 stats
Technology Adoption Drivers Interpretation
More related reading
06 · Category
Incident Reporting & Metrics1 stats
Incident Reporting & Metrics Interpretation
07 · Category
Performance & Safety Impact5 stats
Performance & Safety Impact Interpretation
08 · Category
Regulation & Compliance4 stats
Regulation & Compliance Interpretation
09 · Category
Market & Adoption5 stats
Market & Adoption Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Nathan Caldwell. (2026, February 13). Self Driving Car Accidents Statistics. Gitnux. https://gitnux.org/self-driving-car-accidents-statistics
Nathan Caldwell. "Self Driving Car Accidents Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/self-driving-car-accidents-statistics.
Nathan Caldwell. 2026. "Self Driving Car Accidents Statistics." Gitnux. https://gitnux.org/self-driving-car-accidents-statistics.
Sources & references
43 datasets cited across this report · attribution is report-level
+15 additional datasets cited (not shown individually)

