Global AI In Livestock Farming Market Outlook 2025-2034: Trends, Innovations, And Future Outlook

The AI In Livestock Farming Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the AI In Livestock Farming Market Size and Projected Growth Rate?
The market size for AI in livestock farming has experienced substantial growth recently. It's estimated to expand from $0.47 billion in 2024 to $0.6 billion in 2025, with a compound annual growth rate (CAGR) of 27.2%. Influencing factors for this surge during the historical period include heightened industrialization, increased protein demand, scarcity of land, growing environmental consciousness, and urbanization trends.

The market size of AI in livestock farming is anticipated to experience significant expansion in the forthcoming years, reaching a value of $1.55 billion in 2029 with a compound annual growth rate (CAGR) of 26.8%. The anticipated growth during the forecasted timeframe can be ascribed to factors such as the rising implementation of precision agriculture, growing demand for resource efficiency, complexifying supply chains, increased emphasis on disease prevention and biosecurity along with rising labor costs. Key trends expected during this forecast period encompass technological progress, prevalence of AI, farm mechanization, precision livestock rearing, advancements in animal breeding technologies, wearable health monitors, and genomic selection.

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What Are the Major Segments in 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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What Are The Driving AI In Livestock Farming Market Evolution?
As demand for livestock products continues to rise, it's anticipated that this will stimulate the expansion of AI in the livestock farming market. Livestock products - which include meat, dairy, eggs, and other agricultural animal-derived goods - stand to benefit considerably from AI technologies. These digital capabilities allow farmers to gather, examine, and interpret large quantities of data from various means such as drone and satellite imagery as well as sensors. Farmers can utilize this information to make educated choices on animal health, nutrition, breeding, and management methods, which results in enhanced productivity and efficiency. As an example, the Australian Bureau of Statistics reported that there had been an increase in lamb meat production from 121.8 tons in 2021 to 125.6 tons in 2022 in March 2023, demonstrating a consistent upward trend. Thus, the escalating demand for livestock products is fuelling the expansion of AI in the livestock farming market.

Which Firms Dominate The AI In Livestock Farming Market Segments?
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

What Trends Are Expected to Dominate the AI In Livestock Farming Market in the Next 5 Years?
Key players in the AI livestock farming market are innovating intelligent solutions like generative AI programs, aiming to boost productivity and efficiency in animal breeding. These programs are specifically tailored to aid the dairy, veterinarian, and animal husbandry sectors, all of which play a vital role in food production and animal welfare. For example, in December 2022, eVerse.AI, a technology enterprise based in the US, introduced CowGPT, the inaugural generative AI program designed specifically for the dairy, veterinarian, and animal husbandry fields. The advanced generative AI used in CowGPT can produce extremely realistic and intricate content that mirrors human creativity, proving to be an indispensable resource for these sectors.

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Which Is The Largest Region In The AI In Livestock Farming Market?
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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the AI In Livestock Farming Market?
2. What is the CAGR expected in the AI In Livestock Farming Market?
3. What Are the Key Innovations Transforming the AI In Livestock Farming Industry?
4. Which Region Is Leading the AI In Livestock Farming Market?

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