Symrise AG

The global encapsulated essential oils for feed market is projected to grow from an estimated $1.18 billion in 2026 to $1.67 billion by 2030, at a compound annual growth rate of 9.1%, according to a new report from ResearchAndMarkets.com. The report covers 16 countries and eight regions, analyzing product types including microencapsulated, nanoencapsulated, and macroencapsulated forms, with detailed subsegment breakdowns such as spray-dried microcapsules, nanoemulsions, and extruded capsules. Key companies profiled include Cargill Incorporated, Archer-Daniels-Midland Company, DSM-Firmenich AG, International Flavors & Fragrances Inc., and Symrise AG. The study highlights drivers such as the shift toward antibiotic-free livestock production, adoption of natural feed additives for gut health, and demand for controlled-release encapsulation technologies. Expanded geographic coverage includes Taiwan and Southeast Asia, reflecting ongoing manufacturing shifts and supply chain realignments.

Artificial intelligence is rapidly transforming the global confectionery ingredients sector, with major food manufacturers accelerating investments in AI-powered formulation platforms, predictive analytics, and quality control systems. Barry Callebaut partnered with NotCo AI to incorporate artificial intelligence into chocolate manufacturing and recipe development, while Mars is leveraging AI platforms through its MARI partnership with PIPA to identify novel bioactive, plant-based compounds. Kerry Group established a Digital Center of Excellence backed by an $8.9 million grant for AI-driven business performance optimization. Olam International collaborated with SAP to implement AI-enhanced supply chain solutions on AWS, addressing ingredient traceability and environmental monitoring. Givaudan invested in AI-based tool ATOM for optimized food and flavor formulation, and Symrise created the Symvision AI trend-prediction platform using deep learning and multisource data analysis. Growing consumer demand for sustainable, clean-label products is driving AI adoption to accelerate development of plant-based and personalized chocolate options, though high technology investment costs and limited data availability constrain implementation beyond early adopters.