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AI In Livestock Farming Market Size Forecast: How Large Could The Market Become By 2030?
The ai in livestock farming market size has experienced significant expansion in recent times. It is anticipated to grow from $0.59 billion in 2025 to $0.75 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 26.7. This growth in the historic period can be attributed to a rise in livestock population, increasing use of manual monitoring systems, higher costs of farm labor, early adoption of digital farm management tools, and growing awareness of animal health issues.
The market size for ai in livestock farming is projected for substantial growth over the next few years. It is anticipated to achieve a value of $1.69 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 22.4. This projected expansion during the forecast period is fueled by the escalating need for efficient livestock management, the growing adoption of AI-based predictive analytics, increased deployment of smart sensors, a rising demand for sustainable livestock operations, and the broader implementation of data-driven decision-making in farms. Noteworthy trends during this period encompass an increasing demand for precision livestock farming solutions, wider integration of automated livestock monitoring systems, a heightened focus on animal welfare and stress-reduction techniques, the expansion of data-informed herd management strategies, and more comprehensive integration of predictive health and disease prevention tools.
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AI In Livestock Farming Market Expansion Supported By Key Demand Factors
The growing demand for animal-derived goods is anticipated to boost AI adoption in the livestock sector. These products include diverse items like meat, dairy, eggs, and other goods sourced from farm animals. AI tools allow producers to gather, examine, and understand vast amounts of information from sources such as sensors, drones, and satellite data. Such data facilitates well-informed choices regarding animal well-being, diet, reproduction, and farm management, leading to enhanced output and operational effectiveness. As an illustration, in February 2024, Meat & Livestock Australia, an Australia-based meat industry company, reported that Australia set a new lamb production record in 2023, reaching 246,003 tonnes, which signifies a 12.05 rise from 2022. Consequently, the heightened need for livestock items is fueling the expansion of AI within the livestock farming market.
AI In Livestock Farming Market Categorization By Product Type And Application
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 Growth Trends Influencing Competitive Dynamics
Leading firms within the artificial intelligence (AI) in livestock farming sector are concentrating on creating innovative technologies, including AI-powered feed inventory management systems, designed to enhance feed usage, minimize waste, and boost overall agricultural output. Such a system represents a sophisticated digital tool utilizing AI and data analytics to observe, forecast, and streamline feed consumption, leading to effective inventory oversight, decreased expenses, and better nutritional care for livestock. As an example, in February 2025, the US-based international agribusiness corporation Cargill collaborated with BinSentry, an ag-tech innovator from Canada, to launch AI-enabled solutions aimed at improving Brazil’s animal feed supply chains, particularly benefiting pork and poultry producers. These tools facilitate real-time, precise feed tracking via solar-powered sensors, thereby cutting down on waste and averting feed scarcity. Furthermore, these solutions enhance operational effectiveness, reduce transportation costs, and improve feed conversion rates for pork and poultry farming. The ultimate goal is to elevate profitability and competitive standing within Brazil’s livestock sector through sustainable, data-informed feed management approaches.
AI In Livestock Farming Market Company Landscape And Strategic Competition
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 Distribution And Regional Opportunities
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.