AI is helping automotive companies make better use of the growing volume of vehicle and telematics data. It supports real-time analysis for predictive maintenance, fleet management, insurance, and personalized services, while creating new opportunities for efficiency and revenue generation across the connected mobility ecosystem.
The report includes:
- Examination of how artificial intelligence (AI) is driving growth in the automotive data monetization market
- Insights into AI-enabled data collection, analysis and value creation from connected vehicles
- Key trends shaping the use of vehicle data across insurance, fleet management, mobility services and automotive ecosystems
- Overview of regional adoption patterns and emerging business opportunities
- Assessment of AI’s role in improving customer experiences, operational efficiency and revenue generation
- Review of competitive strategies, partnerships and investment activity across the market
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in the Automotive Data Monetization Market- Overview
- Key Use Cases/Case Studies
- Case Study 1: AI-Native Navigation and Data Monetization with HERE Technologies and KOTEI
- Case Study 2: AI-Based Predictive Maintenance with Volvo Cars and Motorq
- Case Study 3: AI-Powered Vehicle Security Monetization with OCTO Telematics
- Overview
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Overview
- Impact of AI on Various Stages of Automotive Data Monetization Value Chain
- Automotive OEMs
- Telematics and Data Platform Providers
- Mapping and Mobility Data Companies
- End Users
- Overview
- Key Predictions on AI Adoption
- Key Spending by Companies on AI
- Corporate Investment Strategies for AI Adoption
- Abbreviations Used in the Report
Table 1: Adoption of AI in Automotive Data Monetization Market, 2020, 2025, and 2030
Table 2: Key Spending by Companies on AI, 2025
Table 3: Abbreviations Used in This Report
