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AI In Livestock Farming Market Forecast: Value Set To Climb From $0.75 Billion To $1.68 Billion
The ai in livestock farming market size has experienced substantial expansion in recent years. It is anticipated to grow from $0.59 billion in 2025 to $0.75 billion in 2026, achieving a compound annual growth rate (CAGR) of 26.7%. This historical growth can be attributed to factors such as an increase in the livestock population, the growing reliance on manual monitoring systems, elevated farm labor costs, the early integration of digital farm management tools, and a heightened awareness regarding animal health matters.
The ai in livestock farming market is projected to experience substantial expansion over the coming years. By 2030, its valuation is anticipated to reach $1.69 billion, demonstrating a compound annual growth rate (CAGR) of 22.4%. This anticipated expansion during the forecast period stems from factors such as a heightened requirement for effective livestock management, the increasing embrace of AI-driven predictive analytics, the increased deployment of smart sensors, a growing need for environmentally sound livestock practices, and the broader implementation of data-informed decisions on farms. Significant developments foreseen in this period encompass an escalating demand for precision livestock farming solutions, the wider uptake of automated systems for monitoring livestock, an amplified emphasis on animal welfare and strategies to reduce stress, the proliferation of data-centric approaches to herd management, and enhanced incorporation of tools for predictive health and disease prevention.
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AI In Livestock Farming Market Expansion Drivers: What’s Shaping Future Growth?
The rising need for animal-derived goods is anticipated to boost the expansion of AI within the livestock agriculture sector going forward. These 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 information assists in making well-informed choices regarding animal health, nutrition, breeding, and management practices, thereby enhancing output and effectiveness. For instance, in February 2024, according to the Meat & Livestock Australia, an 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 heightened demand for livestock items is a significant factor driving the growth of AI in the livestock farming market.
AI In Livestock Farming Market Segment Analysis And Revenue Potential
The AI in livestock farming market covered in this report is segmented –
1) By Component: Solution, Software, App, Internet of Things Sensors, Service
2) By Technology: Computer Vision, Machine Learning, Predictive Analysis
3) By Application: Real-Time Livestock Behavior Monitoring, Healthcare And Disease Monitoring, Livestock Feed And Water Monitoring, Livestock Control And Fencing Management, Livestock Production Management
4) By End-User: Small And Medium-Sized Farms, Large Sized Farms
Subsegments:
1) By Solution: Animal Health Monitoring, Farm Management Systems, Feed Management Solutions, Precision Livestock Farming
2) By Software: Predictive Analytics Software, Livestock Management Software, Health Monitoring Software
3) By App: Mobile Livestock Management Apps, Animal Tracking Apps, Farm Performance Monitoring Apps
4) By Internet of Things Sensors: Wearable Sensors For Livestock, Environmental Sensors For Farms, Health Monitoring Sensors
5) By Service: Consulting Services, Integration Services, Maintenance And Support Services
AI In Livestock Farming Market Strategic Trends: What Defines The Next Growth Phase?
Prominent enterprises involved in the artificial intelligence (AI) in livestock farming market are concentrating on advancing technologies like AI-driven feed inventory management systems, aiming to maximize feed usage, lessen waste, and uplift overall farm productivity. An AI-driven feed inventory management system is defined as a sophisticated digital solution that employs artificial intelligence and data analytics to track, forecast, and streamline feed usage, thereby guaranteeing effective inventory management, cost savings, and improved livestock nutritional care. For example, in February 2025, Cargill, a US-based global agribusiness firm, collaborated with BinSentry, a Canada-based ag-tech pioneer, to launch AI-powered tools designed to enhance Brazil’s animal feed supply chains specifically for pork and poultry producers. These tools deliver real-time, highly accurate feed monitoring through solar-powered sensors, leading to reduced waste and the prevention of feed shortages. The tools elevate operational efficiency, reduce transportation expenses, and boost feed conversion ratios for pork and poultry producers. The aim is to increase profitability and competitive standing in Brazil’s livestock industry using data-driven, sustainable feed management solutions.
AI In Livestock Farming Market Key Players Shaping Industry Direction
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
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AI In Livestock Farming Market Geographic Landscape: Which Region Dominates Industry Growth?
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
