According to Towards FnB, the global confectionery processing equipment market size is evaluated at USD 19.44 billion in 2026 and is forecast to reach USD 40.52 billion by 2035, reflecting a robust CAGR of 8.5% from 2026 to 2035. This growth reflects sustained capital investment in modern confectionery manufacturing infrastructure across both developed and emerging markets. According to Towards FnB, the global confectionery processing equipment market size is evaluated at USD 19.44 billion in 20
For the Agriculture & Food sector, the integration of AI into confectionery processing equipment offers potential for increased efficiency, reduced waste, and enhanced product quality. This impacts the entire confectionery supply chain, from raw material sourcing to final product delivery, by allowing for better optimization and resource allocation.
Confectionery manufacturers should explore integrating AI-powered systems into their processing lines to optimize production processes, predict equipment maintenance needs, and enhance quality control. This includes deploying machine learning models for recipe optimization, predictive maintenance, and anomaly detection to ensure consistent product quality and minimize downtime, thereby improving operational efficiency and reducing costs.