AI in the Global Automobile Aftermarket: What Are the Emerging Growth Drivers?

AI is transforming fragmented operations into data-driven, platform-enabled ecosystems that redefine repair and parts distribution network value

This analysis examines the artificial intelligence (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 customer relationship management (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 analysis also profiles leading suppliers, assessing their service capabilities and competitive positioning.

  • What are the regional adoption megatrends and investment priorities among dealers, distributors, and independent aftermarket (IAM) workshops?
  • How can you gain a 5-year strategic outlook for AI in the aftermarket and understand growth prospects that will shape the industry’s future?
  • Which key value creation opportunities can help your team gain a competitive edge over leading suppliers?

Request more information