“Precision Nutrition through AI and Data-Driven Feed Formulation”
- A prominent and evolving trend in the global animal nutrition market is the adoption of AI-powered precision nutrition, which allows for individualized feed formulation based on species, age, growth stage, and environmental conditions. This technology is revolutionizing how livestock and poultry are nourished by maximizing feed efficiency and improving overall animal health
- For instance, companies such as Cargill and Alltech are leveraging big data and AI to monitor feed intake, health indicators, and environmental data in real-time, enabling highly customized nutrition solutions. These tools help farmers reduce feed waste, lower costs, and achieve optimal animal growth and productivity
- AI integration enables dynamic formulation that adjusts diets based on changing animal needs or external stressors such as heat or disease. Technologies such as machine learning algorithms analyze vast datasets to predict nutritional deficiencies and optimize nutrient uptake
- With sustainability becoming a core focus, precision nutrition minimizes overfeeding of proteins and minerals that can lead to environmental pollution. It supports carbon footprint reduction in animal farming by enhancing feed conversion ratios and reducing methane emissions
- Companies such as DSM and Evonik are also investing in AI-based platforms that offer real-time decision support systems for livestock nutrition planning, leading to improved profitability and compliance with stricter environmental regulations
- As climate change, food security, and sustainability become central concerns, this trend is expected to redefine feed manufacturing, shifting it from generalized to hyper-targeted, data-informed animal nutrition strategies
