Press release
Emerging Trends to Drive AI In Livestock Farming Market Growth at 24.5% CAGR Through 2029
AI In Livestock Farming
AI In Livestock Farming Market Size Growth Forecast: What to Expect by 2025?
The market size for AI in livestock farming has seen substantial growth in recent times. Predictions show a rise from $0.47 billion in 2024 to $0.59 billion in 2025, reflecting a compound annual growth rate (CAGR) of 26.3%. Factors contributing to this growth during the historic period include escalating industrialization, increased protein demand, growth in land scarcity, heightened environmental consciousness, and growing urbanization.
How Will the AI In Livestock Farming Market Size Evolve and Grow by 2029?
The market size for AI in livestock farming is projected to experience significant growth in the coming years. The anticipated adoption of precision agriculture, optimization of resource efficiency, complex supply chains, the mounting emphasis on disease prevention and biosecurity, and escalating labor costs are the drivers propelling this growth. The market is expected to rise to $1.43 billion by 2029, demonstrating a compound annual growth rate (CAGR) of 24.5%. The forecast period is likely to witness major trends like technological innovation, the use of artificial intelligence, farm automation, precision livestock farming, advanced animal breeding technologies, health tracking wearables, and genomic selection.
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What Drivers Are Propelling the Growth of AI In Livestock Farming Market Forward?
The surge in the demand for products derived from livestock farming is predicted to boost the expansion of Artificial Intelligence (AI) in the livestock farming industry. Products originating from livestock include a variety of items like meat, dairy products, eggs, and additional goods extracted from animals specifically bred for farming purposes. With the help of AI technology, farmers are capable of gathering, examining, and discerning copious amounts of data gathered from several sources including sensors, drones, and satellite images. This information can then be utilized to make well-informed decisions concerning animal health, nourishment, propagation, and management strategies, which in turn improves overall productivity and competence. For example, data from the Australian Bureau of Statistics in March 2023 showed an increase in lamb meat production from 121.8 tons in 2021 to 125.6 tons in 2022, exemplifying a budding upward trajectory. Consequently, the amplified demand for livestock-related products is fuelling the progression of AI within the livestock farming sector.
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What Are the Key Trends Driving AI In Livestock Farming Market Growth?
Leading organizations in the AI livestock farming market are creating smart solutions like generative AI programs aimed at boosting output and efficiency in animal husbandry. This kind of generative AI technology for animal husbandry offers potent solutions for sectors such as the veterinary, dairy, and animal husbandry, which are integral to food production and animal welfare. For example, eVerse.AI, a technology company from the US, introduced in December 2022 CowGPT, the pioneering generative AI program specifically developed for the veterinary, dairy, and animal husbandry sectors. The innovative generative AI technology utilized in CowGPT can produce highly realistic and intricate content mimicking human creativity, rendering it an invaluable asset for these sectors.
What Are the Key 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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Who Are the Key Players Shaping the AI In Livestock Farming Market's Competitive Landscape?
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 Geographic Markets Are Powering Growth 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.
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