Global Enterprise Supply Chain AI Agent Market Strategic Research Report

Scope of the Report

The global Enterprise Supply Chain AI Agent market size is predicted to grow from US$ 1,631 million in 2025 to US$ 12,518 million in 2032; it is expected to grow at a CAGR of 27.3% from 2026 to 2032.

An enterprise supply chain AI agent is an intelligent software system built upon technologies such as large language models, machine learning, knowledge graphs, operations research optimization, and process automation. It is capable of autonomously perceiving information, analyzing issues, generating recommendations, and executing tasks across functions including procurement, supplier management, demand forecasting, inventory control, production scheduling, logistics and transportation, risk monitoring, and supply chain collaboration. Unlike traditional supply chain management software that relies primarily on fixed rules and manual operations, supply chain AI agents can integrate with ERP, WMS, and TMS systems, procurement platforms, and external market data. They utilize natural language interaction to handle tasks such as anomaly detection, order tracking, supplier inquiries, inventory replenishment, delivery alerts, and scenario simulation, while orchestrating cross-system workflows subject to access controls and human oversight mechanisms.

The market for enterprise supply chain AI agents is primarily driven by factors such as increasing supply chain complexity, the need for cost reduction and efficiency improvements, frequent external risks, and the maturation of generative AI technology. Challenges—including global sourcing, multi-tier supplier networks, demand volatility, logistics uncertainties, and inventory cost pressures—have created a demand for real-time, proactive decision-making tools. Meanwhile, the prevalence of manual tasks in traditional supply chain systems—such as data queries, data consolidation, email-based communication, and repetitive approval workflows—offers clear opportunities for AI agent automation. Furthermore, the continuous improvement of enterprise data infrastructure, alongside the widespread adoption of cloud computing, APIs, and supply chain control towers, has enabled these agents to access multi-source data and execute cross-system tasks. Looking ahead, as capabilities in model reasoning, industry-specific knowledge bases, data governance, and security mechanisms advance, supply chain AI agents will evolve from providing basic Q&A and recommendations toward autonomous planning, dynamic scheduling, supplier negotiation support, and end-to-end supply chain collaboration.

This report presents a comprehensive overview of the global Enterprise Supply Chain AI Agent market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• Cloud-based
• On-premises

Segment by Function

• Analytical Agents
• Autonomous Decision-Making Agents
• Collaborative Multi-Agent Systems

Segment by players, this report covers

• SAP
• Oracle
• Microsoft
• Blue Yonder
• Palantir
• Manhattan Associates
• Kinaxis
• Infor
• Coupa
• o9 Solutions
• ServiceNow
• IBM
• Celonis
• UiPath
• C3 AI
• GEP
• project44
• FourKites
• Ivalua
• JAGGAER
• Authine
• Kingdee

Segment by Application

• Large Enterprises
• Small and Medium-sized Enterprises

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Enterprise Supply Chain AI Agent market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Large Enterprises, Small and Medium-sized Enterprises evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact