TECHNOLOGY 66 FEED & ADDITIVE MAGAZINE January 2026 From Efficiency to Sustainability: BIG DATA AND AI IN ANIMAL NUTRITION The transformation of animal nutrition from efficiency to sustainability is gaining momentum through systems powered by big data and artificial intelligence. In the face of raw material variability, climate-induced stress factors, animal health risks, and narrowing profit margins, feed formulations are no longer managed through static recipes; instead, they are driven by real-time data, predictive models, and integrated analytics. While big data infrastructures consolidate formulation, feed processing, animal performance, and environmental indicators, AI makes sense of these complex datasets, making correlations visible and enabling predictive insights for more accurate and timely decision-making. By Derya Gulsoy Yildiz The animal nutrition industry stands on the brink of a technology-driven revolution, moving beyond traditional methods. For many years, animal nutrition strategies based on static formulations, average nutritional values, and historical performance data are now giving way to data-driven, predictive, and dynamic decision systems. Uncertainties in the supply and pricing of basic feed ingredients, climate-related stress factors, increasing risks related to animal health, sustainability pressures, and ultimately shrinking profit margins are among the main drivers of demand for data and artificial intelligence-based solutions. Sponsored by Photo: Shutterstock | panuwat phimpha
RkJQdWJsaXNoZXIy MTUxNjkxNQ==