Designed to make market research more actionable and strategically valuable, The Business Research Company’s 2026 market reports feature market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights.
AI In Livestock Farming Market Revenue Expansion Outlook For The 2026–2030 Forecast Period
The ai in livestock farming market size has seen substantial growth in recent years. It is projected to increase from $0.59 billion in 2025 to $0.75 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 26.7%. The expansion observed in the historic period stemmed from a rise in livestock population, the increasing application of manual monitoring systems, elevated costs of farm labor, the initial adoption of digital farm management tools, and a growing understanding of animal health issues.
The ai in livestock farming market size is anticipated to undergo substantial growth in the upcoming years, with projections indicating it will reach $1.69 billion in 2030, growing at a compound annual growth rate (CAGR) of 22.4%. This expansion during the forecast period is largely attributed to the increasing requirement for efficient livestock management, the rising adoption of AI-based predictive analytics, the growth in smart sensor deployment, a growing demand for sustainable livestock operations, and the broadening of data-driven decision-making on farms. Key trends expected in this period include an escalating demand for precision livestock farming solutions, the increasing uptake of automated livestock monitoring systems, a heightened focus on animal welfare and stress-reduction practices, the expansion of data-driven herd management approaches, and enhanced integration of predictive health and disease prevention tools.
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AI In Livestock Farming Market Demand Driver: How It Is Shaping Industry Growth
The growing demand for livestock products is anticipated to drive the expansion of AI within the livestock farming market. Livestock products encompass various items like meat, dairy, eggs, and other commodities sourced from animals raised for agricultural purposes. AI technologies empower farmers to gather, analyze, and interpret extensive data from diverse origins such as sensors, drones, and satellite imagery. This data can be utilized to make well-informed decisions concerning animal health, nutrition, breeding, and management practices, ultimately boosting productivity and efficiency. For instance, in February 2024, as per the Meat & Livestock Australia, an Australia-based meat industry company, Australia achieved a new record in 2023 for lamb production, reaching 246,003 tonnes, representing an increase of 12.05% compared to 2022. Thus, the rising demand for livestock products is propelling the growth of AI in the livestock farming market.
AI In Livestock Farming Market Segmentation Overview: Detailed Category Analysis
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
Top AI In Livestock Farming Market Trends And Recent Industry Developments
Major companies operating in the artificial intelligence (AI) in livestock farming market are concentrating on developing technological advancements, specifically AI-driven feed inventory management systems, to enhance feed utilization, reduce waste, and improve overall farm productivity. An AI-driven feed inventory management system is 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 improved 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 designed to optimize Brazil’s animal feed supply chains, with a specific focus on pork and poultry producers. These tools provide real-time, highly accurate feed monitoring through solar-powered sensors, effectively reducing waste and preventing feed shortages. They contribute to improved operational efficiency, lower transportation expenses, and enhanced feed conversion ratios for pork and poultry producers, aiming to boost profitability and competitiveness in Brazil’s livestock industry through data-driven, sustainable feed management solutions.
AI In Livestock Farming Market Company Landscape: Key Players To Watch
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 Region-Wise Analysis: Largest Regional Market Identified
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.
