Gartner’s report highlights the rapid rise of agentic AI in supply chain management software, forecasting enterprise spending to grow to $53 billion by 2030. The study emphasizes that businesses are increasingly adopting AI-powered systems capable of automating complex workflows, improving operational efficiency, and enabling autonomous decision-making across supply chain networks. Gartner also notes that adoption of agentic AI features in SCM platforms is expected to accelerate significantly over the next five years as organizations focus on digital transformation, predictive analytics, and intelligent orchestration. The report further stresses the importance of strong data governance, workforce readiness, and scalable infrastructure to successfully implement AI-driven supply chain operations.
The ProcureScore View
The report signals a broader shift from traditional automation toward autonomous decision ecosystems in supply chain management. While the projected spending growth reflects strong enterprise confidence in agentic AI, long-term success will depend less on the AI tools themselves and more on organizational maturity. Companies that invest in clean data infrastructure, governance, and human-AI collaboration frameworks are likely to benefit the most, while businesses chasing AI adoption without operational readiness may struggle to achieve measurable ROI.