Global Automotive Agentic AI Fleet Management Market Strategic Research Report 2026-2031

The global automotive agentic AI fleet management market is estimated at $6.40 billion in 2025, projected to expand to $29.56 billion by 2031, representing a compound annual growth rate of approximately 29.0% over the forecast period. This growth trajectory positions agentic AI fleet management as one of the most dynamically expanding segments within enterprise transportation technology, outpacing broader fleet management software growth by a substantial margin as autonomous, multi-step AI agent capability transitions from an emergent differentiator to an expected, category-standard platform feature.

Market sizing is constructed via a transparent parent-market decomposition methodology, appropriate for a genuinely narrow and rapidly evolving segment where no independently published, agentic-AI-specific third-party market figure yet exists. The parent Fleet Management Software market is anchored to a converged estimate of approximately $32.0 billion in 2025, cross-validated across four independent research sources. The agentic-AI-specific addressable share is modeled rising from 10% of the parent market in 2025 to 40% by 2031, reflecting confirmed current adoption patterns among category leaders.

Ten key players are profiled: Samsara, Geotab, Motive Technologies, Trimble, Verizon Connect, Omnitracs (Solera), Fleetio, MiX Telematics/PowerFleet, Teletrac Navman, and Locus.

Scope of Global Automotive Agentic AI Fleet Management Market Strategic Research Report 2026-2031

• This report provides forecast data by value (USD Billion) for the global automotive agentic AI fleet management market, with 2025 as the base year and forecasting to 2031.
• This report provides segment by type (Cloud-Native, Edge-Deployed, Hybrid, Telematics-as-a-Service) forecast data by value.
• This report provides application segments (Route Optimization, Predictive Maintenance, Driver Behaviour Monitoring, EV Charging Scheduling, Multi-Fleet Asset Utilization) forecast data by value.
• This report provides region-wise and country-level forecast data by value.
• This report identifies key growth drivers and inhibitors affecting the global automotive agentic AI fleet management market.
• This report provides company profiles including Company Overview, Key Products, Financial Performance, Business Strategy, and SWOT Analysis for 10 key companies.
• This report provides Porter's Five Forces, PESTLE, and SWOT analysis for the global automotive agentic AI fleet management market.
• This report identifies key future trends in the global automotive agentic AI fleet management market.

Who can use the Global Automotive Agentic AI Fleet Management Market Research Report?

This research report is ideal for people who wish to gain a thorough understanding of the automotive fleet management technology market. Some of the intended users are:

• C-level executives and Company Directors in fleet management and transportation technology companies
• Industry consultants and Management consultants
• Investment managers, Financial professionals, and Venture Capitalists
• Anyone operating in the fleet management technology value chain.