자동 충돌 추정 소프트웨어 시장 : 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2025-2034년)

The Global Auto Collision Estimating Software Market reached USD 2.1 billion in 2024 and is expected to witness a CAGR of 7.9% between 2025 and 2034. The market is gaining significant momentum due to the increasing number of vehicles on the road, which has led to a higher frequency of accidents and collision cases. As urbanization grows and vehicle ownership rises, auto-body shops face mounting pressure to deliver faster and more accurate repair assessments. To keep up with this demand, repair shops are adopting advanced collision estimating software solutions that not only automate the assessment process but also enhance operational efficiency. These tools are now essential for improving workflow management, reducing manual errors, and speeding up insurance claims processing. As the automotive industry evolves with new vehicle models and advanced safety technologies, the complexity of collision repair has grown. Auto collision estimating software helps repair professionals keep pace with these evolving demands by offering real-time insights and streamlined estimate generation. Additionally, as consumer expectations for quick service and transparency increase, repair shops are leveraging these solutions to provide accurate estimates, ensuring higher customer satisfaction and trust. With insurance companies also emphasizing precision and faster claims settlements, the adoption of estimating software has become integral to maintaining competitiveness in the modern auto repair ecosystem.

The auto collision estimating software market is segmented based on deployment models into on-premises and cloud-based systems. Among these, cloud-based software is expected to dominate with a 65% market share by 2034. The growing preference for cloud-based solutions stems from their flexibility, scalability, and cost-effectiveness. Unlike traditional systems that require a heavy upfront investment in hardware and licenses, cloud-based platforms operate on a subscription basis, making them more affordable, especially for small and medium repair businesses. These platforms can be accessed remotely from any internet-enabled device, enabling repair shop employees to manage tasks from multiple locations or even from home when necessary. This accessibility not only streamlines internal workflows but also helps in offering quicker responses to customers, ultimately driving better service experiences.

Based on end users, the market is categorized into dealerships, independent auto repair shops, fleet management companies, and insurance providers. Independent repair shops held a leading 37.9% market share in 2024, as they heavily rely on estimating software to deliver quick and accurate assessments to their customers. This software helps smaller shops compete with larger dealerships by improving their operational efficiency and enhancing customer trust through transparent and reliable cost estimates. By reducing turnaround time and improving service quality, these independent businesses are better positioned to build customer loyalty and secure repeat business.

U.S. auto collision estimating software market is projected to generate USD 1 billion by 2034, fueled by rapid digital transformation and advancements in automation. The country's high rate of vehicle ownership and frequent insurance claims have accelerated demand for innovative software solutions. With a robust network of repair shops and insurance companies, coupled with the adoption of AI-powered damage assessment and automated claims processing, the U.S. remains a pivotal player in shaping the future of the global auto collision estimating software market.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates & calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimation
• 1.3 Forecast model
• 1.4 Primary research and validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market scope & definition

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis, 2021 - 2034

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Repair facilities
  • 3.2.2 Software provider
  • 3.2.3 System integrators
  • 3.2.4 End use
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Case studies
• 3.9 Impact forces
  • 3.9.1 Growth drivers
    • 3.9.1.1 Rising number of vehicles on the road
    • 3.9.1.2 Growing complexity of modern vehicles
    • 3.9.1.3 Integration of advanced technologies
    • 3.9.1.4 Shifting insurance industry trends
  • 3.9.2 Industry pitfalls & challenges
    • 3.9.2.1 High initial costs
    • 3.9.2.2 Data security and privacy concerns
• 3.10 Growth potential analysis
• 3.11 Porter's analysis
• 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

• 5.1 Key trends
• 5.2 Software
• 5.3 Services

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Bn)

• 6.1 Key trends
• 6.2 On-premises
• 6.3 Cloud

Chapter 7 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

• 7.1 Key trends
• 7.2 Independent auto repair shops
• 7.3 Dealerships
• 7.4 Fleet management companies
• 7.5 Insurance companies

Chapter 8 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 UK
  • 8.3.2 Germany
  • 8.3.3 France
  • 8.3.4 Italy
  • 8.3.5 Spain
  • 8.3.6 Russia
  • 8.3.7 Nordics
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 India
  • 8.4.3 Japan
  • 8.4.4 Australia
  • 8.4.5 South Korea
  • 8.4.6 Southeast Asia
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Argentina
• 8.6 MEA
  • 8.6.1 UAE
  • 8.6.2 South Africa
  • 8.6.3 Saudi Arabia

Chapter 9 Company Profiles

• 9.1 ABF System Software
• 9.2 Alldata
• 9.3 Audatex Solutions
• 9.4 AutoLeap
• 9.5 Auto Repair Invoice
• 9.6 AutoTraker
• 9.7 CCC Intelligent Solutions
• 9.8 Constellation R.O. Writer
• 9.9 Enlyte Group
• 9.10 Estify
• 9.11 Exzeo
• 9.12 Genio
• 9.13 Mitchell Repair Information Company
• 9.14 RepairShopr
• 9.15 Scott Systems
• 9.16 Shop Ware
• 9.17 Smart Estimator
• 9.18 Torque360
• 9.19 Utility Mobile
• 9.20 Web-Est