供应链中的人工智慧：车队管理

本报告深入分析了车队管理行业，从解决方案提供商和最终用户的角度详细探讨了市场挑战，并就人工智慧解决方案的开发和应用向最终用户、监管机构和解决方案提供商提出了建议。

关键问题解答

• 企业如何看待在其车队中使用人工智慧和生成式人工智慧？
• 车辆管理产业在开发和部署人工智慧解决方案方面面临哪些主要挑战？
• 每个车队管理解决方案的投资水准是多少？

目录

主要发现

关键概念定义

主要公司动态

相关研究

当前市场状况及未来展望

市场挑战

策略指导

Actionable Benefits:

• Optimize AI-based investments in enterprises and infrastructure/assets to maximize efficiency.
• Understand the state of the market and future outlook on AI applications.
• Identify key considerations and bottlenecks to deploy AI-based solutions.

Critical Questions Answered:

• How do organizations view AI and Generative Artificial Intelligence (Gen AI) applications for their in-house fleets?
• What are some of the key challenges hindering the development and deployment of AI solutions in the fleet management industry?
• What does the investment level look like for different fleet management solutions?

Research Highlights:

• ABI Research’s Supply Chain Survey 2025 findings on fleet management solutions.
• An in-depth review of market challenges from solution provider and end-user viewpoints.
• Recommendations to end users, regulators, and solution providers on best practices related to AI solutions development and application.

Who Should Read This?

• Fleet management solutions business development, sales, product development, and marketing leaders.
• Fleet managers, safety managers, and fleet operations executives.
• Telco, networking, semiconductor, and module vendors.

TABLE OF CONTENTS

Key Findings

Defining Key Concepts

What Are Key Players Doing

Relevant Survey Findings

State of the Market Future Outlook

Market Challenges

Strategic Guidance