ABI Research Projects Yard Management System Revenue to Reach $4.9B by 2032

ABI Research published findings on Yard Management System (YMS) adoption, tying increased use to freight security concerns and expanding automation. The study also reported that AI-related capabilities are moving into operational workflows inside logistics facilities.

ABI Research said the YMS market is entering a growth phase, with revenue projected to rise from $980 million in 2026 to $4.9 billion by 2032, representing a 30.5% CAGR. The company attributed the shift to freight security, demand for gate automation, and increased interest in AI-enabled operational execution across logistics facilities.

In the research, security was described as a primary buying driver as strategic cargo theft, double brokering, and carrier fraud push yard security to a board-level priority. ABI Research also stated that gate automation has expanded to AI-powered systems that identify vehicles, trailers, containers, license plates, and asset condition, often using existing CCTV infrastructure to reduce deployment costs.

ABI Research said AI adoption in YMS is shifting from analytics to execution, with vendors embedding task recommendations, exception detection, dock prioritization, arrival forecasting, and automated move generation into day-to-day workflows. The study identified specialist and dedicated vendors in high-volume, operationally complex environments, and it cited C3 Solutions, Kaleris, Peripass, and Vector. “Yard operations are no longer being viewed as an isolated facility function; they are becoming a strategic control point for freight security, throughput, and supply chain orchestration,” Ryan Wiggin, Research Director at ABI Research, said. “The vendors that will stand out are those that can combine practical automation, strong workflow intelligence, and site-level execution expertise without adding unnecessary complexity for operators.” “Over the next several years, differentiation in the YMS market will depend less on generic AI claims and more on proprietary operational data, embedded workflows, and execution capabilities that deliver measurable value,” Wiggin said.