Overview and Scope
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.
Sizing and Forecast
The AI in livestock farming market size has grown exponentially in recent years. It will grow from $0.37 billion in 2023 to $0.47 billion in 2024 at a compound annual growth rate (CAGR) of 26.7%. The growth in the historic period can be attributed to increasing industrialization, rising demand for protein, growing land scarcity, rising environmental awareness, rising urbanization.
The AI in livestock farming market size is expected to see exponential growth in the next few years. It will grow to $1.22 billion in 2028 at a compound annual growth rate (CAGR) of 26.9%. The growth in the forecast period can be attributed to increasing adoption of precision agriculture, increasing need for resource efficiency, increasing complexity of supply chains, growing focus on disease prevention and biosecurity, rising labor costs. Major trends in the forecast period include technological advancements, artificial intelligence, farm automation, precision livestock farming, animal breeding technologies, health monitoring wearable, genomic selection.
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Segmentation & Regional Insights
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
North America was the largest region in the AI in livestock farming market in 2023. The regions covered in the AI in livestock farming market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
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 March 2023, according to the Australian Bureau of Statistics, an Australia-based government agency, lamb meat increased to 121.8 tons in 2021. Further, it surged to 125.6 tons in 2022, indicating a growing upward trend. Therefore, the increasing demand for livestock products is driving the growth of AI in the livestock farming market.
Key Industry Players
Major companies operating in the AI in livestock farming market report 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
The ai in livestock farming market report table of contents includes:
1. Executive Summary
2. AI In Livestock Farming Market Characteristics
3. AI In Livestock Farming Market Trends And Strategies
4. AI In Livestock Farming Market – Macro Economic Scenario
5. Global AI In Livestock Farming Market Size and Growth
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31. Global AI In Livestock Farming Market Competitive Benchmarking
32. Global AI In Livestock Farming Market Competitive Dashboard
33. Key Mergers And Acquisitions In The AI In Livestock Farming Market
34. AI In Livestock Farming Market Future Outlook and Potential Analysis
35. Appendix
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