人工智慧在全球汽車售後市場的應用

AI in the Global Automobile Aftermarket

出版日期: 2026年08月13日 | 出版商:

Frost & Sullivan | 英文 54 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

本分析檢驗了人工智慧 (AI) 如何變革汽車售後市場生態系統，重點關注關鍵部署領域、區域趨勢、新興應用案例以及推動營運和經營模式轉型的 AI主導投資。報告由六個關鍵部分組成，聚焦於主要價值鏈流程：遠端和現場診斷與編配、自動化退貨和索賠處理、電腦視覺和診斷、庫存和供應鏈最佳化、目錄和合規性管理/零件智慧，以及客戶關係管理 (CRM) 和服務中心管理系統。每個部分都評估了 AI 實施前後的服務活動，量化了營運改善的影響，並確定了關鍵的價值創造機會。該研究還對主要供應商進行了概況介紹，評估了他們的服務能力和競爭地位。此外，報告還討論了經銷商、經銷商和 IAM 服務中心的區域部署趨勢和投資重點。最後，報告提出了未來五年 AI 在售後市場的策略展望，並提出了三個將塑造產業未來的關鍵預測。

This analysis examines the AI applications reshaping the automotive aftermarket ecosystem, exploring key adoption areas, regional dynamics, emerging use cases, and AI-driven investments driving change in operations and business models. Structured into six core segments, the report focuses on major value chain streams: Remote and On-Bay Diagnostics and Orchestration, Returns and Claims Automation, Computer Vision and Diagnostics, Inventory and Supply Chain Optimization, Catalog and Fitment Management/Parts Intelligence, and CRM and Workshop Management Systems. Each segment evaluates service activities before and after AI implementation, quantifying operational improvements and highlighting key value creation opportunities. The study also profiles leading suppliers, assessing their service capabilities and competitive positioning. Additionally, the report discusses regional adoption trends and investment priorities among dealers, distributors, and IAM workshops. Finally, it offers a 5-year strategic outlook for AI in the aftermarket, with three key predictions that will shape the industry’s future.

Strategic Imperatives

Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on AI in the Global Automobile Aftermarket - Workshops and Distributors
Scope of Analysis
Key Questions the Study Addresses
Key Findings

Segmentation

Key Suppliers
Key Touchpoints - Workshops and Distributors/Retailers

AI Adoption as a Growth Generator in the Automobile Aftermarket

Growth Drivers
Growth Restraints

Growth Opportunity Analysis

Key Adoption Trends - AI in Workshops and Distributors
Regional Analysis of AI Adoption in the Automobile Aftermarket
AI Investment and Use Case Analysis in the Aftermarket Value Chain
AI-Related Supplier Activity in the Aftermarket Ecosystem
Five-Year Strategic Scenarios (2025–2030)

Remote and On-Bay Problem Diagnostics and Orchestration

Remote and On-Bay Problem Diagnostics and Orchestration - AI Augmentation
Remote and On-Bay Problem Diagnostics and Orchestration - Key Suppliers

Returns and Claims Automation, Computer Vision, and Diagnostics

Returns and Claims Automation, Computer Vision, and Diagnostics - AI Augmentation
Returns and Claims Automation, Computer Vision, and Diagnostics - Key Suppliers

Inventory and Supply Chain Optimization

Inventory and Supply Chain Optimization - AI Augmentation
Inventory and Supply Chain Optimization - Key Suppliers

Catalog and Fitment Management/Parts Intelligence

Catalog and Fitment Management/Parts Intelligence - AI Augmentation
Catalog and Fitment Management/Parts Intelligence - Key Suppliers

CRM and Workshop Management System

CRM and Workshop Management System - AI Augmentation
CRM and Workshop Management System - Key Suppliers
Key Takeaways

Three Big Predictions

Growth Opportunity Universe

Growth Opportunity 1: AI-Powered Vehicle Aging Simulation and Digital Memory Platform
Growth Opportunity 2: Connected Data Ecosystem
Growth Opportunity 3: AI-Powered Counterfeit Parts Detection and Digital Traceability