AI In Livestock Farming Market Report 2026

AI In Livestock Farming Market Overview

• AI In Livestock Farming market size has reached to $0.59 billion in 2025 • Expected to grow to $1.69 billion in 2030 at a compound annual growth rate (CAGR) of 22.4% • Growth Driver: Rising Demand For Livestock Products Ignites Growth In AI Farming Solutions • Market Trend: AI-Powered Feed Supply Chain Management Revolutionizes Livestock Farming • North America was the largest region in 2025.

What Is Covered Under AI In Livestock Farming Market?

AI in livestock farming refers to advance process that incorporate artificial intelligence technologies into agricultural operations to improve productivity, animal welfare, and operational efficiency. This encompasses the use of machine learning algorithms for data analysis, automated monitoring systems, and predictive analytics for effective herd management. The main types of components in AI in livestock farming are solutions, software, apps, internet of things sensors, and services. The solution segment refers to comprehensive packages or systems provided by AI technology companies to address specific challenges or needs within the industry. The various technologies include computer vision, machine learning, and predictive analysis. These are used in various applications such as real-time livestock behavior monitoring, healthcare and disease monitoring, livestock feed and water monitoring, livestock control and fencing management, and livestock production management, and also by various end-users such as small and medium-sized farms, and large-sized farms.

What Is The AI In Livestock Farming Market Growth Forecast?

The ai in livestock farming market size is expected to see exponential growth in the next few years. It will grow to $1.69 billion in 2030 at a compound annual growth rate (CAGR) of 22.4%. The growth in the forecast period can be attributed to rising need for efficient livestock management, increasing adoption of AI-based predictive analytics, growth in smart sensor deployment, rising demand for sustainable livestock operations, expansion of data-driven decision-making in farms. Major trends in the forecast period include rising demand for precision livestock farming solutions, increasing adoption of automated livestock monitoring systems, growing focus on animal welfare and stress-reduction practices, expansion of data-driven herd management approaches, greater integration of predictive health and disease prevention tools.

What Is Driver Of The AI In Livestock Farming Market?

The increasing demand for livestock products is expected to propel the growth of AI in the livestock farming market going forward. Livestock products encompass a range of items such as meat, dairy, eggs, and other commodities obtained from animals bred for agricultural use. AI technologies enable farmers to collect, analyze, and interpret large volumes of data from various sources such as sensors, drones, and satellite imagery. This data can be used to make informed decisions about animal health, nutrition, breeding, and management practices, improving productivity and efficiency. For instance, in February 2024, according to the Meat & Livestock Australia, a Australia-based meat industry company, in 2023, Australia achieved a new record in lamb production, reaching 246,003 tonnes, an increase of 12.05% compared to 2022. Therefore, the increasing demand for livestock products is driving the growth of AI in the livestock farming market.

Key Players In The Global AI In Livestock Farming Market

Major companies operating in the ai in livestock farming market are Zoetis Inc., Rex Animal Health Inc., DeLaval International AB, Sentera LLC, Afimilk Ltd., Actility SA, PrecisionHawk Inc., Allflex Group, AgriWebb Holdings Pty Ltd., Quantified AG, H2Oalert Inc., Faromatics S.L., FarrPro Inc., SwineTech Inc., Agersens Limited, Connecterra B.V., Cainthus Corporation, Vence Corporation, BinSentry Inc., Octopus Robots, Livestock Labs Inc., BovControl, SomaDetect Inc., Moocall Ltd., Simple Ag Solutions

Global AI In Livestock Farming Market Trends and Insights

Major companies operating in the artificial intelligence (AI) in livestock farming market are focusing on developing technological advancements such as AI-driven feed inventory management systems to optimize feed utilization, reduce waste, and improve overall farm productivity. An AI-driven feed inventory management system refers to an advanced digital solution that leverages artificial intelligence and data analytics to monitor, predict, and optimize feed usage, ensuring efficient inventory control, cost reduction, and enhanced livestock nutrition management. For instance, in February 2025, Cargill, a US-based global agribusiness company, partnered with BinSentry, a Canada-based ag-tech innovator, to introduce AI-powered tools to optimize Brazil’s animal feed supply chains specifically for pork and poultry producers. It provides real-time, highly accurate feed monitoring through solar-powered sensors, reducing waste and preventing feed shortages. These tools improve operational efficiency, lower transportation expenses, and enhance feed conversion ratios for pork and poultry producers. The purpose is to boost profitability and competitiveness in Brazil’s livestock industry with data-driven, sustainable feed management solutions.

What Are Latest Mergers And Acquisitions In The AI In Livestock Farming Market? GEA Group AG Expands Portfolio With CattleEye Acquisition For Livestock Welfare

In March 2024, GEA Group AG, a Germany-based engineering company, acquired CattleEye for an undisclosed amount. With this acquisition, GEA integrates a cutting-edge artificial intelligence system into its offerings, targeting animal health and welfare enhancements within dairy operations. CattleEye is an Ireland-based livestock technology company that develops new AI solutions for livestock management, health monitoring, and welfare enhancement.

What Defines the AI In Livestock Farming Market?

The AI in the livestock farming market consists of revenues earned by entities providing services such as animal welfare assessment, supply chain optimization, and training and consulting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the livestock farming market also includes sales of AI-powered monitoring devices, predictive analytics software, and precision feeding systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the AI In Livestock Farming Market Report 2026?

The ai in livestock farming market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the ai in livestock farming industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.