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

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

Global Automotive Agentic AI Fleet Management Market Strategic Research Report 2026-2031
Publication ID: 
NAV0826013
Publication Date: 
August 21, 2026
Pages: 
235
Countries: 
Global [1]
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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. One substitution was made following verification research -- Stellantis Free2Move Fleet was replaced with Locus, given Free2Move Fleet's narrow OEM-tied scope (Stellantis-brand vehicles only) and the absence of a confirmed genuine agentic AI feature, versus Locus's confirmed, purpose-built agentic dispatch architecture (Dispatch, Orchestrator, and Carrier agents operating as one coordinated system).

  1. Executive Summary
    1. 1.1 Market Overview and Sizing
    2. 1.2 Market Definition and Scope
    3. 1.3 Structural Market Drivers
    4. 1.4 Competitive Landscape Summary
    5. 1.5 Market Segmentation Highlights
    6. 1.6 Regional Market Summary
    7. 1.7 Key Report Conclusions
  2. Industry Overview & Forecast
    1. 2.1 Market Definition and Scope
    2. 2.2 Parent Market Context and Sizing Methodology
    3. 2.3 Global Market Value: Historical Performance and Forecast
    4. 2.4 Market Drivers: The Structural Shift Underlying Forecast Growth
    5. 2.5 Competitive Structure and Market Maturity
    6. 2.6 Segmentation Overview
    7. 2.7 Forecast Confidence and Scenario Considerations
  3. Market Segmentation by Type
    1. 3.1 Overview and Structural Rationale
    2. 3.2 Cloud-Native Agentic AI Fleet Platforms
    3. 3.3 Edge-Deployed In-Vehicle AI Agent Modules
    4. 3.4 Hybrid Cloud-Edge Orchestration Platforms
    5. 3.5 Agentic AI-Integrated Telematics-as-a-Service
    6. 3.6 Segment Share Dynamics and Forecast Trajectory
  4. Market Segmentation by Application
    1. 4.1 Overview and Structural Logic
    2. 4.2 Autonomous Route Optimization and Dynamic Dispatch
    3. 4.3 Predictive Maintenance and Proactive Fault Resolution
    4. 4.4 Driver Behaviour Monitoring and Compliance Automation
    5. 4.5 EV Fleet Charging Scheduling and Energy Cost Arbitrage
    6. 4.6 Multi-Fleet Asset Utilization and Capacity Rebalancing
    7. 4.7 Application Segment Synthesis
  5. Regional Market Forecast
    1. North America
    2. Europe
    3. Asia Pacific
    4. Latin America
    5. MEA
  6. Country-Level Market Forecast
    1. 6.1 North America
    2. 6.1.1 United States
    3. 6.1.2 Canada
    4. 6.1.3 Mexico
    5. 6.2 Europe
    6. 6.2.1 Germany
    7. 6.2.2 United Kingdom
    8. 6.2.3 France
    9. 6.2.4 Netherlands
    10. 6.2.5 Nordics
    11. 6.2.6 Rest of Europe
    12. 6.3 Asia Pacific
    13. 6.3.1 China
    14. 6.3.2 Japan
    15. 6.3.3 India
    16. 6.3.4 South Korea
    17. 6.3.5 Australia
    18. 6.3.6 Rest of Asia Pacific
    19. 6.4 Latin America
    20. 6.4.1 Brazil
    21. 6.4.2 Mexico
    22. 6.4.3 Rest of Latin America
    23. 6.5 MEA
    24. 6.5.1 United Arab Emirates
    25. 6.5.2 Saudi Arabia
    26. 6.5.3 South Africa
    27. 6.5.4 Rest of MEA
  7. Growth Drivers & Inhibitors
    1. 7.1 Executive Summary of Market Forces
    2. 7.2 Growth Drivers
    3. 7.2.1 Freight Margin Compression as a Structural Cost-Reduction Imperative
    4. 7.2.2 Regulatory Compliance Mandates Creating an Agentic-Ready Installed Base
    5. 7.2.3 Commercial EV Fleet Transition Generating Net-New AI Demand Categories
    6. 7.2.4 Generative and Agentic AI Technology Maturation Lowering Deployment Barriers
    7. 7.3 Market Inhibitors
    8. 7.3.1 Multi-Year Contract Structures Retarding Switching and New Vendor Adoption
    9. 7.3.2 Reseller Network Fragmentation Creating Inconsistent Agentic Feature Rollout
    10. 7.3.3 Data Integration Complexity Limiting Adoption Among Smaller Fleets
    11. 7.4 Net Assessment: Force Balance and Forecast Implications
  8. Key Company Profiles
    1. 8.1 Samsara Inc.
    2. 8.1.1 Company Overview
    3. 8.1.2 Key Products & Segments
    4. 8.1.3 Financial Performance (2023-2025)
    5. 8.1.4 Business Strategy
    6. 8.1.5 SWOT Analysis
    7. 8.1.6 Strategic Implications (2025-2031)
    8. 8.2 Geotab Inc.
    9. 8.2.1 Company Overview
    10. 8.2.2 Key Products & Segments
    11. 8.2.3 Financial Performance (2023-2025)
    12. 8.2.4 Business Strategy
    13. 8.2.5 SWOT Analysis
    14. 8.2.6 Strategic Implications (2025-2031)
    15. 8.3 Motive Technologies
    16. 8.3.1 Company Overview
    17. 8.3.2 Key Products & Segments
    18. 8.3.3 Financial Performance (2023-2025)
    19. 8.3.4 Business Strategy
    20. 8.3.5 SWOT Analysis
    21. 8.3.6 Strategic Implications (2025-2031)
    22. 8.4 Trimble Inc.
    23. 8.4.1 Company Overview
    24. 8.4.2 Key Products & Segments
    25. 8.4.3 Financial Performance (2023-2025)
    26. 8.4.4 Business Strategy
    27. 8.4.5 SWOT Analysis
    28. 8.4.6 Strategic Implications (2025-2031)
    29. 8.5 Verizon Connect
    30. 8.5.1 Company Overview
    31. 8.5.2 Key Products & Segments
    32. 8.5.3 Financial Performance (2023-2025)
    33. 8.5.4 Business Strategy
    34. 8.5.5 SWOT Analysis
    35. 8.5.6 Strategic Implications (2025-2031)
    36. 8.6 Omnitracs (Solera)
    37. 8.6.1 Company Overview
    38. 8.6.2 Key Products & Segments
    39. 8.6.3 Financial Performance (2023-2025)
    40. 8.6.4 Business Strategy
    41. 8.6.5 SWOT Analysis
    42. 8.6.6 Strategic Implications (2025-2031)
    43. 8.7 Fleetio
    44. 8.7.1 Company Overview
    45. 8.7.2 Key Products & Segments
    46. 8.7.3 Financial Performance (2023-2025)
    47. 8.7.4 Business Strategy
    48. 8.7.5 SWOT Analysis
    49. 8.7.6 Strategic Implications (2025-2031)
    50. 8.8 MiX Telematics / PowerFleet
    51. 8.8.1 Company Overview
    52. 8.8.2 Key Products & Segments
    53. 8.8.3 Financial Performance (2023-2025)
    54. 8.8.4 Business Strategy
    55. 8.8.5 SWOT Analysis
    56. 8.8.6 Strategic Implications (2025-2031)
    57. 8.9 Teletrac Navman
    58. 8.9.1 Company Overview
    59. 8.9.2 Key Products & Segments
    60. 8.9.3 Financial Performance (2023-2025)
    61. 8.9.4 Business Strategy
    62. 8.9.5 SWOT Analysis
    63. 8.9.6 Strategic Implications (2025-2031)
    64. 8.10 Locus
    65. 8.10.1 Company Overview
    66. 8.10.2 Key Products & Segments
    67. 8.10.3 Financial Performance (2023-2025)
    68. 8.10.4 Business Strategy
    69. 8.10.5 SWOT Analysis
    70. 8.10.6 Strategic Implications (2025-2031)
  9. Competitive Landscape
    1. 9.1 Competitive Landscape Overview
    2. 9.2 Market Share Analysis
    3. 9.3 Key Player Strategies & Positioning
    4. 9.4 Competitive Dynamics & Strategic Outlook
  10. Porter's Five Forces Analysis
    1. 10.1 Threat of New Entrants
    2. 10.2 Bargaining Power of Buyers
    3. 10.3 Bargaining Power of Suppliers
    4. 10.4 Threat of Substitutes
    5. 10.5 Competitive Rivalry
  11. PESTLE Analysis
    1. 11.1 Political
    2. 11.2 Economic
    3. 11.3 Social
    4. 11.4 Technological
    5. 11.5 Legal
    6. 11.6 Environmental
  12. SWOT Analysis
    1. 12.1 Strengths
    2. 12.2 Weaknesses
    3. 12.3 Opportunities
    4. 12.4 Threats
  13. Future Trends & Outlook
    1. 13.1 Structural Context
    2. 13.2 Key Trends
    3. 13.3 Strategic Outlook

List of Exhibits

  1. Exhibit 2.1: Forecast of Global Market YoY Growth Rate & CAGR Summary (in %)
  2. Exhibit 2.2: Forecast of Global (in USD Bn)
  3. Exhibit 2.3: Forecast of North America (in USD Bn)
  4. Exhibit 2.4: Forecast of Europe (in USD Bn)
  5. Exhibit 2.5: Forecast of Asia Pacific (in USD Bn)
  6. Exhibit 2.6: Forecast of Latin America (in USD Bn)
  7. Exhibit 2.7: Forecast of MEA (in USD Bn)
  8. Exhibit 3.8: Forecast of Cloud-Native Agentic AI Fleet Platforms (in USD Bn)
  9. Exhibit 3.9: Forecast of Edge-Deployed In-Vehicle AI Agent Modules (in USD Bn)
  10. Exhibit 3.10: Forecast of Hybrid Cloud-Edge Orchestration Platforms (in USD Bn)
  11. Exhibit 3.11: Forecast of Agentic AI-Integrated Telematics-as-a-Service (in USD Bn)
  12. Exhibit 4.12: Forecast of Autonomous Route Optimization & Dynamic Dispatch (in USD Bn)
  13. Exhibit 4.13: Forecast of Predictive Maintenance & Proactive Fault Resolution (in USD Bn)
  14. Exhibit 4.14: Forecast of EV Fleet Charging Scheduling & Energy Cost Arbitrage (in USD Bn)
  15. Exhibit 4.15: Forecast of Driver Behaviour Monitoring & Compliance Automation (in USD Bn)
  16. Exhibit 4.16: Forecast of Multi-Fleet Asset Utilization & Capacity Rebalancing (in USD Bn)
  17. Exhibit 6.17: Forecast of North America (in USD Bn)
  18. Exhibit 6.18: Forecast of United States (in USD Bn)
  19. Exhibit 6.19: Forecast of Canada (in USD Bn)
  20. Exhibit 6.20: Forecast of Mexico (in USD Bn)
  21. Exhibit 6.21: Forecast of Europe (in USD Bn)
  22. Exhibit 6.22: Forecast of Germany (in USD Bn)
  23. Exhibit 6.23: Forecast of United Kingdom (in USD Bn)
  24. Exhibit 6.24: Forecast of France (in USD Bn)
  25. Exhibit 6.25: Forecast of Netherlands (in USD Bn)
  26. Exhibit 6.26: Forecast of Nordics (in USD Bn)
  27. Exhibit 6.27: Forecast of Rest of Europe (in USD Bn)
  28. Exhibit 6.28: Forecast of Asia Pacific (in USD Bn)
  29. Exhibit 6.29: Forecast of China (in USD Bn)
  30. Exhibit 6.30: Forecast of Japan (in USD Bn)
  31. Exhibit 6.31: Forecast of India (in USD Bn)
  32. Exhibit 6.32: Forecast of South Korea (in USD Bn)
  33. Exhibit 6.33: Forecast of Australia (in USD Bn)
  34. Exhibit 6.34: Forecast of Rest of Asia Pacific (in USD Bn)
  35. Exhibit 6.35: Forecast of Latin America (in USD Bn)
  36. Exhibit 6.36: Forecast of Brazil (in USD Bn)
  37. Exhibit 6.37: Forecast of Mexico (in USD Bn)
  38. Exhibit 6.38: Forecast of Rest of Latin America (in USD Bn)
  39. Exhibit 6.39: Forecast of MEA (in USD Bn)
  40. Exhibit 6.40: Forecast of Rest of MEA (in USD Bn)
  41. Exhibit 6.41: Forecast of United Arab Emirates (in USD Bn)
  42. Exhibit 6.42: Forecast of Saudi Arabia (in USD Bn)
  43. Exhibit 6.43: Forecast of South Africa (in USD Bn)
  44. Exhibit 6.44: Forecast of Global Market YoY Growth Rate & CAGR Summary (in %)

Samsara Inc., Geotab Inc., Motive Technologies, Trimble Inc., Verizon Connect, Omnitracs (Solera), Fleetio, MiX Telematics / PowerFleet, Teletrac Navman, Locus

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