供應鏈中的人工智慧：車隊管理

本報告深入分析了車隊管理行業，從解決方案提供商和最終用戶的角度詳細探討了市場挑戰，並就人工智慧解決方案的開發和應用向最終用戶、監管機構和解決方案提供商提出了建議。

關鍵問題解答

• 企業如何看待在其車隊中使用人工智慧和生成式人工智慧？
• 車輛管理產業在開發和部署人工智慧解決方案方面面臨哪些主要挑戰？
• 每個車隊管理解決方案的投資水準是多少？

目錄

主要發現

關鍵概念定義

主要公司動態

相關研究

當前市場狀況及未來展望

市場挑戰

策略指導

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