These figures come from an analysis of hull and OSAGO payments for owners of light vehicles insured by Soglasie. Industry experts examined how often motorcycle incidents are recorded and found a notable shift in the mix of brands involved in crashes during the first half of the year. In particular, BMW motorcycles showed a 50 percent rise in accidents when compared with the same period in the previous year, signaling a sharper growth in incidents among this brand’s riders. While this surge appears dramatic, it is important to consider the broader context of overall accident reporting, insurance claim activity, and regional traffic patterns that can influence such numbers. The same period last year saw BMW accounting for a smaller share of total accidents, around 20 percent, which highlights how rapidly risk exposure can change for specific brands when external factors like rider demographics, ride frequency, and urban congestion shift.
Another brand that is increasingly appearing in accident reports is Kawasaki, though it represents a smaller portion of incidents. Kawasaki accounts for roughly 16 percent of total crashes, with a year over year increase of about 9 percent. This suggests that while Kawasaki riders continue to participate in crashes, the momentum is less pronounced than that seen with BMW. It is also noted that riders of other popular marques such as Honda, Yamaha, Harley Davidson, and Triumph appear in accident data, though with varying frequencies that reflect market share and riding activity across different regions and seasons. The evolving mix of brands in accident statistics offers insurers and policyholders a clearer view of exposure, risk concentration, and the potential for targeted safety initiatives that can help reduce claim costs and improve rider safety over time.
Experts also identified the geographic hotspots where iron horse riders are most often involved in crashes. Moscow leads the list, comprising nearly half of all recorded cases, a reflection of high traffic density, urban complexity, and the sheer volume of riders navigating the city daily. Other major cities feature in the ranking, though their numbers are lower than the capital’s. St. Petersburg, Samara, Irkutsk, Tula, Barnaul, and Krasnoyarsk appear as significant locales in the dataset, indicating that regional differences in road conditions, infrastructure, and rider behavior can shape where incidents cluster. For insurers, this geographic pattern underscores the importance of regionally tailored risk assessment, proactive rider education programs, and targeted prevention strategies that can help curb losses while supporting riders with safer, more informed commuting choices.
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