AI in Livestock Farming Market Report 2026

The ai in livestock farming market size has grown exponentially in recent years. It will grow from $0.59 billion in 2025 to $0.75 billion in 2026 at a compound annual growth rate (CAGR) of 26.7%. The growth in the historic period can be attributed to rise in livestock population, increasing use of manual monitoring systems, higher costs of farm labor, early adoption of digital farm management tools, growing awareness of animal health issues.

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.

The rising demand for livestock products is anticipated to drive the growth of AI in the livestock farming market going forward. Livestock products include meat, dairy, eggs, and other commodities derived from animals raised for agricultural purposes. AI technologies allow farmers to collect, analyze, and interpret large amounts of data from sources such as sensors, drones, and satellite imagery. This information supports informed decision-making related to animal health, nutrition, breeding, and overall management, thereby improving productivity and operational efficiency. For example, in February 2024, Meat & Livestock Australia, an Australia-based meat industry organization, reported that in 2023, Australia reached a new record in lamb production, totaling 246,003 tonnes, marking a 12.05% increase compared to 2022. Thus, the rising demand for livestock products is fueling the growth of AI in the livestock farming market.

Leading companies 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, minimize waste, and enhance overall farm productivity. An AI-driven feed inventory management system is an advanced digital solution that uses artificial intelligence and data analytics to monitor, forecast, and optimize feed consumption, ensuring efficient inventory control, cost savings, and improved livestock nutrition management. For example, in February 2025, Cargill, a US-based global agribusiness company, partnered with BinSentry, a Canada-based ag-tech innovator, to launch AI-powered tools designed to optimize Brazil’s animal feed supply chains for pork and poultry producers. The system offers real-time, highly accurate feed monitoring through solar-powered sensors, reducing waste and preventing shortages. These tools increase operational efficiency, decrease transportation costs, and improve feed conversion ratios for pork and poultry producers. The goal is to enhance profitability and competitiveness in Brazil’s livestock sector through data-driven, sustainable feed management solutions.

In March 2024, GEA Group AG, a Germany-based engineering company, acquired CattleEye to integrate an advanced artificial intelligence system into its offerings, focusing on enhancing animal health and welfare in dairy operations. CattleEye, based in Ireland, specializes in developing innovative AI solutions for livestock management, health monitoring, and welfare improvement, aligning with GEA's strategic vision for technological advancements in the livestock farming sector.

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are influencing the AI in livestock farming market by increasing the cost of imported IoT sensors, AI hardware, and precision monitoring equipment, which raises overall system deployment expenses for farms. Segments such as IoT sensors, hardware solutions, and predictive analytics tools are most affected, particularly in regions dependent on technology imports such as Asia-Pacific and Latin America. However, tariffs may also accelerate local manufacturing, foster regional technology development, and promote domestic innovation, creating potential long-term benefits for the livestock technology ecosystem.

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

AI in livestock farming entails the integration of artificial intelligence technologies into agricultural practices to enhance productivity, animal welfare, and operational efficiency. This involves leveraging machine learning algorithms for data analysis, implementing automated monitoring systems, and utilizing predictive analytics for optimal herd management.

The primary types of components in AI in livestock farming include solutions, software, apps, Internet of Things (IoT) sensors, and services. The solutions segment refers to comprehensive packages or systems offered by AI technology providers to address specific challenges or requirements within the industry. The key technologies involved include computer vision, machine learning, and predictive analysis. These technologies are applied in various areas such as real-time livestock behavior monitoring, healthcare and disease detection, feed and water monitoring, livestock control and fencing management, and livestock production management. They are utilized by different end-users, including small and medium-sized farms as well as large-sized farms.North America was the largest region in the AI in livestock farming market in 2025. The regions covered in the ai in livestock farming market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai in livestock farming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

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.

This product will be delivered within 1-3 business days.