AI-enabled Fleet Management System Market Size, Share, and Trends 2025 to 2034

Gain insights into the AI-enabled fleet management system market, including key players, technologies, and industry demand shaping fleet automation. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : June 2025
  • Report Code : 6240
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI-enabled Fleet Management System Market 

5.1. COVID-19 Landscape: AI-enabled Fleet Management System Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI-enabled Fleet Management System Market, By Component

8.1. AI-enabled Fleet Management System Market, by Component

8.1.1. Solutions

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global AI-enabled Fleet Management System Market, By Vehicle Type

9.1. AI-enabled Fleet Management System Market, by Vehicle Type

9.1.1. Commercial Vehicles

9.1.1.1. Market Revenue and Forecast

9.1.2. Passenger Cars

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global AI-enabled Fleet Management System Market, By Deployment Mode 

10.1. AI-enabled Fleet Management System Market, by Deployment Mode

10.1.1. On-Premises

10.1.1.1. Market Revenue and Forecast

10.1.2. Cloud

10.1.2.1. Market Revenue and Forecast

 

Chapter 11. Global AI-enabled Fleet Management System Market, By End-User 

11.1. AI-enabled Fleet Management System Market, by End-User

11.1.1. Transportation and Logistics

11.1.1.1. Market Revenue and Forecast

11.1.2. Automotive

11.1.2.1. Market Revenue and Forecast

11.1.3. Retail

11.1.3.1. Market Revenue and Forecast

11.1.4. Construction

11.1.4.1. Market Revenue and Forecast

11.1.5. Others

11.1.5.1. Market Revenue and Forecast

Chapter 12. Global AI-enabled Fleet Management System Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component

12.1.2. Market Revenue and Forecast, by Vehicle Type

12.1.3. Market Revenue and Forecast, by Deployment Mode

12.1.4. Market Revenue and Forecast, by End-User

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component

12.1.5.2. Market Revenue and Forecast, by Vehicle Type

12.1.5.3. Market Revenue and Forecast, by Deployment Mode

12.1.5.4. Market Revenue and Forecast, by End-User

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component

12.1.6.2. Market Revenue and Forecast, by Vehicle Type

12.1.6.3. Market Revenue and Forecast, by Deployment Mode

12.1.6.4. Market Revenue and Forecast, by End-User

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component

12.2.2. Market Revenue and Forecast, by Vehicle Type

12.2.3. Market Revenue and Forecast, by Deployment Mode

12.2.4. Market Revenue and Forecast, by End-User

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component

12.2.5.2. Market Revenue and Forecast, by Vehicle Type

12.2.5.3. Market Revenue and Forecast, by Deployment Mode

12.2.5.4. Market Revenue and Forecast, by End-User

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component

12.2.6.2. Market Revenue and Forecast, by Vehicle Type

12.2.6.3. Market Revenue and Forecast, by Deployment Mode

12.2.6.4. Market Revenue and Forecast, by End-User

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component

12.2.7.2. Market Revenue and Forecast, by Vehicle Type

12.2.7.3. Market Revenue and Forecast, by Deployment Mode

12.2.7.4. Market Revenue and Forecast, by End-User

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component

12.2.8.2. Market Revenue and Forecast, by Vehicle Type

12.2.8.3. Market Revenue and Forecast, by Deployment Mode

12.2.8.4. Market Revenue and Forecast, by End-User

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component

12.3.2. Market Revenue and Forecast, by Vehicle Type

12.3.3. Market Revenue and Forecast, by Deployment Mode

12.3.4. Market Revenue and Forecast, by End-User

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component

12.3.5.2. Market Revenue and Forecast, by Vehicle Type

12.3.5.3. Market Revenue and Forecast, by Deployment Mode

12.3.5.4. Market Revenue and Forecast, by End-User

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component

12.3.6.2. Market Revenue and Forecast, by Vehicle Type

12.3.6.3. Market Revenue and Forecast, by Deployment Mode

12.3.6.4. Market Revenue and Forecast, by End-User

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component

12.3.7.2. Market Revenue and Forecast, by Vehicle Type

12.3.7.3. Market Revenue and Forecast, by Deployment Mode

12.3.7.4. Market Revenue and Forecast, by End-User

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component

12.3.8.2. Market Revenue and Forecast, by Vehicle Type

12.3.8.3. Market Revenue and Forecast, by Deployment Mode

12.3.8.4. Market Revenue and Forecast, by End-User

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component

12.4.2. Market Revenue and Forecast, by Vehicle Type

12.4.3. Market Revenue and Forecast, by Deployment Mode

12.4.4. Market Revenue and Forecast, by End-User

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component

12.4.5.2. Market Revenue and Forecast, by Vehicle Type

12.4.5.3. Market Revenue and Forecast, by Deployment Mode

12.4.5.4. Market Revenue and Forecast, by End-User

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component

12.4.6.2. Market Revenue and Forecast, by Vehicle Type

12.4.6.3. Market Revenue and Forecast, by Deployment Mode

12.4.6.4. Market Revenue and Forecast, by End-User

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component

12.4.7.2. Market Revenue and Forecast, by Vehicle Type

12.4.7.3. Market Revenue and Forecast, by Deployment Mode

12.4.7.4. Market Revenue and Forecast, by End-User

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component

12.4.8.2. Market Revenue and Forecast, by Vehicle Type

12.4.8.3. Market Revenue and Forecast, by Deployment Mode

12.4.8.4. Market Revenue and Forecast, by End-User

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component

12.5.2. Market Revenue and Forecast, by Vehicle Type

12.5.3. Market Revenue and Forecast, by Deployment Mode

12.5.4. Market Revenue and Forecast, by End-User

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component

12.5.5.2. Market Revenue and Forecast, by Vehicle Type

12.5.5.3. Market Revenue and Forecast, by Deployment Mode

12.5.5.4. Market Revenue and Forecast, by End-User

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component

12.5.6.2. Market Revenue and Forecast, by Vehicle Type

12.5.6.3. Market Revenue and Forecast, by Deployment Mode

12.5.6.4. Market Revenue and Forecast, by End-User

Chapter 13. Company Profiles

13.1. Geotab

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Trimble Inc.

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Omnitracs

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. TomTom Telematics

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Zonar Systems

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Mix Telematics

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Gurtam

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Inseego Corp.

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. KeepTruckin

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Masternaut

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The major players in the AI-enabled fleet management system market include Geotab, Trimble Inc., Omnitracs, TomTom Telematics, Zonar Systems, Mix Telematics, Gurtam, Inseego Corp., KeepTruckin, Masternaut, Chevin Fleet Solutions, Donlen Corporation, LeasePlan USA, Wheels, Inc., Omnicomm, Motive, CalAmp, Verizon Connect, Samsara, Teletrac Navman, Ctrack, Element Fleet Management, Zubie, Microlise, Fleet Complete, Bendix Commercial Vehicle Systems, and Aptiv.

The driving factors of the AI-enabled fleet management system market are the rising need for data-driven insights to improve operational efficiency is one of the major factors driving the growth of the AI-enabled fleet management system market.

North America region will lead the global AI-enabled fleet management system market during the forecast period 2025 to 2034.

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