Executive Summary: The Intent–Readiness Gap
The data tells a story of two supply chains. On one side, 94% of companies plan to deploy AI or generative AI for decision support within two years, according to ABI Research (2025). On the other, only 23% of supply chain organizations have a formal AI strategy in place, per Gartner (2025). This is not a slow adoption story — it is a story of high intent colliding with low readiness.
For supply chain executives building a business case for AI investment, this gap is the single most important dynamic to understand. The companies that close it — by investing in data quality, targeted use-case selection, and strategic planning — are the ones capturing the 23% profitability premium that Accenture (2024) attributes to AI-mature organizations. Those that skip the readiness work risk joining the 67% of enterprises reporting stalled ROI from fragmented legacy systems, as documented by Tradeverifyd (2026).
Market Size: The Scale of AI Investment in Supply Chain
The financial commitment to AI in supply chain is accelerating at a pace that few other enterprise technology categories can match. According to Precedence Research (2026), the global AI in supply chain market was valued at $9.94 billion in 2025 and is projected to reach $236 billion by 2035, representing a compound annual growth rate (CAGR) of 37.3%. This is not incremental spending — it is a structural shift in how capital is allocated across planning, logistics, procurement, and warehouse operations.
Within this broader market, agentic AI — systems that can autonomously sense, decide, and act across supply chain workflows — is emerging as a distinct investment category. Grand View Research projects the agentic AI in supply chain management segment will grow from $40.4 billion in 2025 to $101.8 billion by 2033. BCG estimates that agentic systems already accounted for 17% of total AI value in 2025, with a projected rise to 29% by 2028.
| Market Segment | 2025 Value | Projected Value | CAGR | Source |
|---|---|---|---|---|
| AI in Supply Chain (total) | $9.94B | $236B (2035) | 37.3% | Precedence Research (2026) |
| Agentic AI in SCM | $40.4B | $101.8B (2033) | ~14% | Grand View Research |
| AI-Powered SCM Planning | Not disclosed | $41.23B (2030) | 38.8% | Grand View Research |