Supply Chain AI Software Spending to Hit $53 Billion by 2030
Supply chain management software with agentic AI capabilities will grow to $53 billion in annual spend by 2030, up from less than $2 billion in 2025, according to Gartner.
The forecast reflects a shift in how companies approach routine supply chain work. Simple AI agents can now execute discrete tasks-order processing, demand forecasting, inventory adjustments-without human intervention, freeing managers to focus on strategic decisions.
Adoption Will Accelerate Over 18 Months
Balaji Abbabatulla, VP analyst in Gartner's Supply Chain practice, said that as organizations measure results from basic AI agents, supply chain leaders will begin investing in clusters of agents that work together to handle multi-step workflows.
"Simple AI agents are capable of executing discrete supply chain tasks, increasingly enabling organizations to automate routine workflows and freeing up bandwidth of humans to complete more complex tasks," Abbabatulla said.
By 2030, 60% of enterprises using SCM software will have adopted agentic AI features, up from 5% in 2025. This jump reflects movement from pilot projects to full deployment across supply chain operations.
The Adoption Gap
Enterprise deployments will lag behind software availability. The gap exists because agentic AI is only one layer of supply chain operations-organizations also need to update processes, staffing models, and governance structures to make the technology work.
For supply chain managers, this means agentic AI adoption requires more than software selection. It demands changes to how teams work and what skills they need.
- Simple AI agents automate routine supply chain tasks today
- Advanced AI agents will orchestrate complex, multi-step workflows
- Most enterprises will adopt agentic AI features by 2030
- Implementation timelines will extend beyond software deployment
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