How ADAS data can improve insurance risk models

🚗 ADAS is Quietly Reshaping the Auto Insurance and Collision Repair Landscape Advanced Driver-Assistance Systems (ADAS) aren’t just changing how vehicles are repaired — they’re reshaping the economics of auto insurance. A recent Evercore ISI report projects that growing ADAS adoption will cut annual loss cost trends by about 1% per year, accelerating to 2–3% by 2030 as penetration hits the 50% mark across the U.S. fleet. That’s a massive shift in underwriting assumptions, claim frequency, and even insurer profitability. For collision repairers ADAS-equipped vehicles will continue to reduce accident frequency, especially low-speed collisions (rear-ends, parking impacts). But when a crash does occur, the repair will be more technically demanding — involving sensor replacements, re-calibration, software validation, and post-scan documentation. 👉 Fewer repairs overall, but each one will require higher skill, precision, and documentation. Key takeaways: ADAS penetration: 25% in 2024 → 50% expected by 2030 Claim frequency drops: Bodily Injury -24%, Property Damage -19%, Collision -11% Top impact features: Front AEB, Forward Collision Warning, Blind Spot Monitoring, Rear AEB Severity trends: Mixed — lower-speed impacts are declining, but high-severity events may remain While ADAS may initially boost insurer margins, it could ultimately flatten premium growth as fewer claims enter the system. For repairers, this signals a shifting landscape: fewer accidents but more complex, higher-cost repairs when they do occur. 👉 The bottom line: ADAS is changing risk, repair, and revenue models — not in theory, but in real data. The question is: Are collision and calibration businesses aligning their strategy to this new insurance reality? #ADAS #AutoInsurance #CollisionRepair #Calibrations #AutomotiveTechnology #FutureOfRepair #EVs #AVs #AI

We’re excited to announce the approval of MOTER’s first Insurance Risk Model for Class 7–8 vehicles in Arkansas, Nevada, Wisconsin, and South Dakota! This extends the reach of our commercial auto models beyond the existing 31 states for Class 1–3. Together, these models create a comprehensive telematics framework for commercial auto insurance across vehicle classes and support both Schedule Rating and Usage-Based Insurance (UBI). The model measures risk using core telematics, ADAS, and DMS signals. By analyzing vehicle dynamics, ADAS events, and driver monitoring behaviors, it delivers a holistic and objective assessment of risk. The result is more accurate pricing, fairer underwriting, and actionable insights that improve fleet safety and carrier performance. At the center is the MOTER Score, giving fleets and carriers deeper visibility into driver and vehicle risk. Paired with our Risk Management platform, it enables proactive coaching, near real-time analytics, and data-driven strategies that help improve safety and reduce claims. Through OEM integrations and partnerships, we are also laying the groundwork for embedded insurance that will bring transparency and risk intelligence to every vehicle. This milestone reflects our commitment to building the next generation of commercial auto insurance: smarter, data-driven, and built for carriers and fleets alike. Contact MOTER to learn more at info@moter.ai. If you’re heading to @ITC Vegas, visit us October 14–16 at Booth #1038.  #Insurtech #UBI #telematics #riskmanagement #SDV #AI #fleets #dataanalytics 

Advanced Driver-Assistance Systems (ADAS) are expected to have a significant impact on the auto insurance industry, driving near-term frequency changes to the sector, although autonomous vehicles could have greater ramifications longer term, according to a recent Evercore ISI. https://lnkd.in/e5DfW3zd

The global dashboard camera market size was estimated at USD 4.03 billion in 2023 and is anticipated to reach USD 7.64 billion by 2030, growing at a CAGR of 9.6% from 2024 to 2030. The industry growth is attributed to the rising awareness about vehicular safety, quicker insurance claims, and protection against rising vehicle thefts. #AutomotiveDashcamMarket #AutomotiveDashcamIndustry #AutomotiveDashcamSolutions #AutomotiveDashcamGrowth #AutomotiveDashcam2025 #FleetSafety #AIDashcam #DashcamForCars #GPS #FleetManagement https://lnkd.in/gWZ6dfhp

Automotive innovation is moving at record speed. NAMIC’s new paper explores how autonomous vehicles will impact insurers, policymakers & the public. Read here: https://bit.ly/48IFv4Q #NAMICConnects

KPIs - Total Car Makes: 78 - Total Car Models: 1,009 - Coverage Zone (Highest Claim Amount): Urban – ₦382,266,218.19 - Coverage Zone (Highest Claim Frequency): Suburban – 3,883 claims - Car Make (Most Involved): Ford - Car Model (Most Involved): Grand Prix - Car Color (Highest Claims): Turquoise – 105.6million - Car Usage (Highest Share): Private – 30.06K claims (56.46%) Deductions: The analysis on car insurance policies shows that claim activity is spread fairly evenly across all coverage zones (Urban, Rural, Suburban, etc.), with only slight variations in average claim amounts (approximately 49K–50K). This indicates a balanced distribution of claims irrespective of geography. However, households in highly urban and urban zones tend to generate the highest claim amounts, likely due to higher traffic density and greater exposure to risk. Education level has a strong correlation with claims, as individuals with Bachelor’s degrees account for nearly half of all claims both in amount and frequency. This could be linked to the demographic group most likely to own cars in high-risk zones. In terms of car involvement, Ford, Chevrolet, and Toyota are the most frequent makes in insurance claims, while models like Grand Prix, Mustang, Camaro, and Ranger consistently appear with high claim involvement. Makes such as Hillman and Holden show higher average claim amounts, suggesting higher severity per incident. Car colours also play a role: turquoise, green, and crimson cars lead in both claim amount and frequency, which may reflect usage preferences or exposure levels. Claim usage is dominated by private cars (approximately 56%), compared to commercial vehicles. Gender and family status also show influence, with a noticeable share of claims linked to drivers with kids. Overall, the insights suggest insurers need to watch high-risk car makes/models, color preferences, and demographic patterns when pricing premiums. NOTE: Urban claims are the costliest, Suburban claims the most frequent, and Bachelor-degree holders with private Aquamarine cars present the highest risk profile. Quantum Analytics NGJonathan Osagie

Robotaxis are set to shake up Australia’s motor insurance market I was recently featured in Insurance Business Australia discussing what autonomous vehicles mean for insurers, brokers, and clients. With liability shifting from drivers to technology providers, and new risks like cyber exposures emerging, the insurance industry needs to rethink how policies are structured and delivered. It’s an exciting time of change, and a chance for insurers and brokers to get ahead of the curve. Read the full article here: insurancebusinessmag.com https://lnkd.in/gSbn96Mw #InsuranceIndustry #MotorInsurance #InsuranceInnovation #RiskManagement #Technology #AutonomousVehicles #FutureOfMobility #Robotaxis

CarFax. AutoCheck. Autofact. All useful tools, but limited They only tell you three things: - Maintenance history - Accident history - Ownership history And even then, all of that data is manually entered by people - auto shops, DMVs, insurance adjusters. Mistakes happen. Records get missed. The context behind a repair (or a skipped repair) rarely makes it in. So you end up with a report that feels “official” but only tells part of the story. The one thing that actually matters is missing: How does the vehicle perform? Was the engine strained every day? Has the transmission been slipping for months? Was it babied on weekends or beaten up on job sites? That’s the story only telematics history can tell. - Mileage verified in real time - Driving behavior and engine stress - Early fault codes before they become breakdowns It’s the difference between paperwork and truth. The future of vehicle history isn’t about what someone remembered to log - it’s the truth directly pulled from the vehicle. Would you trust a telematics-driven vehicle history report over today’s manual records? At HoneyRuns we are building a more comprehensive CarFax based on telematics data. Know how a car performs before even driving it.

For decades, your car insurance premium has been a guess. It’s based on proxies for risk like your age, your location, and your annual mileage. But the industry is moving from asking "how much you drive" to understanding "how you actually drive". Thanks to telematics and smartphone sensors, insurers can now see the real story. They can measure sharp turns, harsh braking, speed patterns, and even the time of day you're on the road. This data creates a far more accurate picture of risk than mileage ever could. 📍The pioneers are already leading this transformation: →Progressive’s Snapshot program proved the model at scale. →Metromile built its entire business on per-mile and behavioral data. →AXA and Allianz are deploying telematics solutions across Europe. →MOTER Technologies is using AI to assess driving risk in real-time. The core shift is profound. We're moving from underwriting demographics to underwriting behavior. This creates a powerful virtuous cycle. Responsible drivers are rewarded for their actual habits , high-risk behavior is priced accurately, and the entire system incentivizes safer roads for everyone. P.S. How long before every policy is priced based on behavior, not biography?

Are electric vehicles more expensive to insure? A planner explains what drives premiums, how to evaluate cover for batteries and ADAS, and ways to lower costs. #EV https://lnkd.in/gwtRVKef