What are the latest figures on the ai in livestock farming market’s size and projected CAGR?
The AI in livestock farming market size has grown exponentially in recent years. It will grow from $0.47 billion in 2024 to $0.6 billion in 2025 at a compound annual growth rate (CAGR) of 27.2%. 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 $1.55 billion in 2029 at a compound annual growth rate (CAGR) of 26.8%. 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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Which Market drivers have played a significant role in driving the ai in livestock farming market?
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, lamb meat production increased from 121.8 tons in 2021 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.
What are the key segments within the ai in livestock farming market?
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
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Which key players are shaping the ai in livestock farming market?
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
Which transformative trends will shape the ai in livestock farming market landscape?
Major companies in the AI livestock farming market are developing intelligent solutions such as generative AI programs to enhance productivity and efficiency in animal husbandry. Generative AI program for animal husbandry is designed to provide solutions for the veterinary, dairy, and animal husbandry industries, which are crucial sectors for food production and animal welfare. For instance, in December 2022, eVerse.AI, a US-based technology company, launched CowGPT, the first generative AI program created especially for the veterinary, dairy, and animal husbandry industries. The generative AI technology employed in CowGPT can generate highly realistic and complex contents that imitate human creativity, making it a valuable tool for these industries.
How do regional factors impact the ai in livestock farming market, and which region is the largest contributor?
North America was the largest region in the AI in livestock farming market in 2024. 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.
What Does The AI In Livestock Farming Market Report 2025 Offer?
The ai in livestock farming market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
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.
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