Artificial Intelligence in Livestock Farming Market Set to Expand Rapidly as Farmers Adopt AI-Driven Solutions for Feed Quality and Disease Management

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global Artificial Intelligence in Livestock Farming Market- by Component (Solution/ Software/ App, IoT Sensors, and Services), Application (Real-Time Livestock Behavior Monitoring, Healthcare & Disease Monitoring, Livestock Feed & Water Monitoring, Livestock Control & Fencing Management, and Livestock Production Management), Type (Semi-Automatic and Fully-Automatic), Farm Size (Small and Medium-Sized Farms and Large Sized Farms), Technology (Computer Vision, Machine Learning, and Predictive Analysis), Trends, Industry Competition Analysis, Revenue and Forecast To 2030."

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According to the latest research by InsightAce Analytic, the global Artificial Intelligence in Livestock Farming market is expected to register a CAGR of 26.2% during a forecast period of 2022-2030.

Artificial intelligence (AI) serves as a representation of human intelligence, utilizing advanced algorithms to perform various tasks traditionally managed by farmers. Core components of AI technology in livestock farming include software, applications, and Internet of Things (IoT)-enabled sensors. Leading AI technologies such as deep learning, machine learning, and predictive analytics are increasingly employed to effectively monitor and manage livestock. The integration of disruptive digital transformation has streamlined traditional operations and empowered farmers to make data-driven decisions, driving significant advancements in the dairy and cattle industries.

AI technologies have enabled farmers to improve livestock health, enhance profitability, and closely monitor diseases that may impact animal well-being. Key applications of AI in livestock farming include enhancing feed quality, implementing computer-aided vision algorithms, optimizing supply chains, monitoring livestock health, and enabling real-time behavior tracking.

The growing awareness of data-driven approaches for managing livestock feed, production outputs, and overall herd health is fueling the expansion of the AI in livestock farming market. Additional market growth drivers include increasing government support for adopting advanced platforms and software for livestock management and the rising demand for deep learning technologies to enhance livestock productivity. Furthermore, the rapid growth of the global population, increasing consumption of poultry and dairy products, and heightened concerns about livestock welfare and disease prevention are contributing to market expansion. However, challenges such as inadequate infrastructure, poor connectivity, the unmet demand for animal proteins, and the rapid spread of diseases among cattle continue to pose significant obstacles for farmers.

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North America is expected to maintain a leading position in the artificial intelligence (AI) in livestock farming market over the forecast period. The region's market dominance can be attributed to increasing awareness of advanced technologies for managing farm animals, the rising incidence of low-quality milk and dairy products, and the growing demand for automated cattle management solutions. Strategic collaborations among key industry players, such as Raven Industries Inc. and IBM Corporation, are enhancing product innovation and improving cattle management practices. Additionally, several regional companies are expanding their market presence by entering agreements with major industry players to provide enhanced services to local clients.

Meanwhile, the Asia Pacific AI in livestock farming market is poised for significant growth during the forecast period. This growth is driven by increasing food consumption and the rising prevalence of diseases among cattle and livestock. The expanding adoption of IoT and computer vision technologies in the cattle industry is further accelerating market expansion. Leading industry players are increasingly integrating AI solutions to enhance the efficiency and accuracy of their livestock management systems, contributing to the market's upward trajectory.

Major market players operating in the Artificial Intelligence in Livestock Farming market include BovControl, BinSentry Inc, Faromatics, Connecterra, Rex, Cainthus, Vence, SmartShepherd, Quantified AG, AgriWebb, FarrPro, H2Oalert, Roper, Simple Ag Solutions, Hencol, Jaguza Tech, Moonsyst, SomaDetect, and SwineTech.

Recent collaborations and agreements in the market:
• In December 2020, Alus Behavior was developed by the tech company Cainthus to assist large dairies in enhancing milk production and animal welfare. To ensure that the cows respond in ways that maximize milk production, Alus Behavior continuously observes the cows and their behaviours, including eating, lying down, and drinking.
• In June 2020, Merck Animal Health, a Merck & Co., Inc., Kenilworth, New Jersey, USA, acquired Quantified Ag®, a prominent data and analytics company that monitors cattle body temperature and movement to detect sickness early.

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Market Segments
Global Artificial Intelligence in Livestock Farming Market, by Component, 2022-2030 (Value US$ Mn)
• Solution/ Software/ App
• IoT Sensors
• Service
Global Artificial Intelligence in Livestock Farming Market, by Application, 2022-2030 (Value US$ Mn)
• Real-Time Livestock Behavior Monitoring
• Healthcare & Disease Monitoring
• Livestock Feed & Water Monitoring
• Livestock Control & Fencing Management
• Livestock Production Management
Global Artificial Intelligence in Livestock Farming Market, by Type, 2022-2030 (Value US$ Mn)
• Semi-Automatic
• Fully-Automatic
Global Artificial Intelligence in Livestock Farming Market, by Farm Size, 2022-2030 (Value US$ Mn)
• Small and Medium-Sized Farms
• Large Sized Farms
Global Artificial Intelligence in Livestock Farming Market, by Technology, 2022-2030 (Value US$ Mn)
• Computer Vision
• Machine Learning
• Predictive Analysis
Global Artificial Intelligence in Livestock Farming Market, by Region, 2022-2030 (Value US$ Mn)
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa
North America Artificial Intelligence in Livestock Farming Market, by Country, 2022-2030 (Value US$ Mn)
• U.S.
• Canada
Europe Artificial Intelligence in Livestock Farming Market, by Country, 2022-2030 (Value US$ Mn)
• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe
Asia Pacific Artificial Intelligence in Livestock Farming Market, by Country, 2022-2030 (Value US$ Mn)
• India
• China
• Japan
• South Korea
• Australia & New Zealand
Latin America Artificial Intelligence in Livestock Farming Market, by Country, 2022-2030 (Value US$ Mn)
• Brazil
• Mexico
• Rest of Latin America
Middle East & Africa Artificial Intelligence in Livestock Farming Market, by Country, 2022-2030 (Value US$ Mn)
• GCC Countries
• South Africa
• Rest of Middle East & Africa

Why should buy this report:
 To receive a comprehensive analysis of the prospects for the global Artificial Intelligence in Livestock Farming market
 To receive an industry overview and future trends of the Artificial Intelligence in Livestock Farming market
 To analyze the Artificial Intelligence in Livestock Farming market drivers and challenges
 To get information on the Artificial Intelligence in Livestock Farming market value (US$Mn) forecast to 2030
 Significant investments, mergers & acquisitions in the Artificial Intelligence in Livestock Farming market industry

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