Gartner says only 5% will automate 10% of supply chain planning by 2030

Gartner predicts that only 5 percent of organizations implementing supply chain automation will automate at least 10 percent of their planning decisions by 2030. The forecast, based on Gartner surveys and client interactions, distinguishes between AI that supports decisions and AI that makes them autonomous.

Gartner’s survey polled 394 supply chain professionals from companies with at least $250 million in annual revenue. Despite $40 billion in enterprise AI investment, a MIT study found 95 percent of organizations are not yet seeing any returns. A Kinaxis poll of over 2,000 leaders showed 41 percent expect autonomous supply chains at scale within one to two years, while only one in eight have fully embedded AI governance.

“Spending millions on supply chain planning automation can expand technical capabilities, but investment alone does not create AI readiness,” Buse Aras, director analyst in Gartner’s supply chain practice said.

In August, a Gartner survey showed that more than half of supply chain officers were unsure about their AI return on investment despite significant spending. A MIT landmark study found that despite funneling $40 billion into enterprise investment, 95 percent of organizations are not yet seeing any returns. Earlier this year, Kinaxis surveyed over 2,000 supply chain leaders across nine markets, reporting that two‑fifths (41 percent) expect autonomous supply chains at scale within one to two years, while only one in eight have been fully embedded with AI governance.

What we know

Only 5 percent of organizations that implement some form of supply chain automation will make a minimum of 10 percent of their planning decisions autonomously by 2030.
Gartner surveyed 394 supply chain professionals from companies that make at least $250 million a year.
Despite $40 billion in enterprise AI investment, 95 percent of organizations are not yet seeing any returns.
41 percent of supply chain leaders expect autonomous supply chains at scale to be their operating model within one to two years.
Only one in eight organizations has been fully embedded with AI governance.