Auto Body Shop Data
Repair cycle times, supplement rates, and shop proficiency by facility. The performance data insurance companies use to steer repairs.
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Find Me This Data →Overview
What Is Auto Body Shop Data?
Auto Body Shop Data encompasses the operational and performance metrics that insurance companies and repair networks use to evaluate and steer collision repair work. This includes repair cycle times, supplement rates, calibration requirements, and facility proficiency benchmarks. The data reflects real-world shop performance on collision repairs, paint services, glass replacement, and related body work. As the collision repair industry faces shifting claim volumes and rising repair complexity, this data has become critical for insurers making network decisions and shops optimizing their operations.
Market Data
$76.9 billion (2026 projection)
US Car Body Shops Industry Revenue
Source: IBISWorld
105,000
Number of Car Body Shop Businesses
Source: IBISWorld
3.2%
5-Year Revenue CAGR (2021–2026)
Source: IBISWorld
Down more than 10%
Repairable Claims Change (2025)
Source: Autobody News
More than one-third
Estimates Requiring Calibration
Source: Autobody News
Who Uses This Data
What AI models do with it.do with it.
Insurance Companies
Use repair cycle times and shop proficiency metrics to steer collision repair claims to preferred repair facilities and manage claim costs.
Repair Networks & DRP Managers
Monitor supplement rates, calibration requirements, and turnaround times to evaluate shop performance and make network decisions.
Body Shop Operators
Benchmark their own repair cycle times and proficiency against industry standards to improve competitiveness and identify operational bottlenecks.
Auto Parts Suppliers & Aftermarket
Track repair complexity and supplement demand to forecast parts and service demand across regional repair markets.
What Can You Earn?
What it's worth.worth.
Repair Cycle Time Data
Varies
Priced based on dataset scope (shop-level granularity, regional coverage, historical depth).
Supplement Rate Intelligence
Varies
Valuation depends on estimate sample size, vehicle segments covered, and update frequency.
Shop Proficiency Benchmarks
Varies
Premium for shop-to-shop comparisons, OEM/model performance breakdowns, and calibration requirement data.
Network Steering Data Feeds
Varies
Enterprise-level pricing for real-time or high-frequency shop performance feeds used by insurers and DRP platforms.
What Buyers Expect
What makes it valuable.valuable.
Repair Cycle Accuracy
Precise measurement of turnaround times from intake to customer delivery, segmented by repair type and severity.
Supplement Documentation
Clear tracking of estimate supplements and actual supplement rates with vehicle, parts, and labor categorization.
Calibration Transparency
Identification of shops that perform or require calibration services and frequency of calibration-related estimates.
Shop Identifiers & Metadata
Verified shop locations, capabilities, certifications, and equipment to enable accurate network assignment and peer comparison.
Timeliness & Frequency
Regular updates (monthly or quarterly minimum) to reflect market shifts, especially as complexity and claim volume change.
Companies Active Here
Who's buying.buying.
Large collision repair network operator using performance data to manage multi-location operations and network quality.
Regional repair chain leveraging proficiency and cycle-time data to optimize pricing and network positioning.
Multi-brand automotive services platform using shop performance metrics for DRP management and customer steering.
FAQ
Common questions.questions.
What specific metrics make up Auto Body Shop Data?
Core metrics include repair cycle times (from intake to completion), supplement rates (the percentage of estimates that require additional work), calibration frequencies, total loss ratios, and shop proficiency scores. Buyers also track shop certifications, equipment capabilities, and labor utilization.
How is this data collected?
Data is typically sourced from insurance claim systems, DRP (Direct Repair Program) networks, shop management software, and industry surveys. Autobody News and industry associations aggregate claims data to identify trends in repair complexity and claim volume.
Why is calibration data becoming more important?
Modern vehicles require more frequent calibrations due to advanced driver assistance systems and sensors. Industry data shows calibration requirements now appear on more than one-third of estimates, making this a key performance and cost factor for shops and insurers.
How does this data help insurers steer repairs?
Insurers use cycle times, supplement rates, and proficiency metrics to identify shops that deliver faster turnaround, lower rework rates, and better customer satisfaction. This data feeds DRP assignment algorithms to direct claims to optimal facilities and manage network costs.
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