Artificial Intelligence in Livestock Farming Market: A Booming Field Transforming Animal Agriculture

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 2031."

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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 2024-2031.

AI is merely a reflection of human intelligence that utilizes algorithms to perform a variety of tasks that were once performed by producers. Internet of Things-enabled software, applications, and sensors constitute the core components of AI technology. Predictive analytics, machine learning, and deep learning are the primary AI technologies utilized in the management and vigilant monitoring of cattle. The dairy and cattle industry as a whole has undergone a substantial transformation in recent years as a result of disruptive digital transformation, which has facilitated data-driven decision making and simplified aging processes.

By incorporating AI technologies and methods to improve the health of their livestock, numerous farmers could potentially enhance their overall profitability while also effectively monitoring the spread of animal-harming diseases. Application domains encompassing AI technology include feed quality enhancements, computer-aided vision algorithms, supply chain optimization, real-time behavior monitoring of livestock, and livestock health monitoring.

The utilization of data-driven decision-making methods to oversee livestock feed, final products, and the overall health of the cattle is gaining increasing recognition, which is driving the expansion of the artificial intelligence market in livestock farming. Increasing government support for the use of modern platforms and software in livestock management and the rising demand for deep-learning technology to boost livestock productivity are additional factors propelling the growth of this market. Increasing concerns regarding the welfare of livestock and the transmission of diseases, a surge in the consumption of poultry and dairy products, and the rapid growth of the population will all contribute to the market's expansion. Inadequate infrastructure, poor connectivity, an unfulfilled demand for animal proteins, and the rapid transmission of diseases among cattle are typical challenges faced by farmers.

Throughout the forecast period, Artificial Intelligence in Livestock Farming is anticipated to gain traction in North America. North America's market share dominance may be attributed to a number of factors, including heightened awareness of the most recent technologies for managing agricultural animals, an increase in the prevalence of low-quality milk and dairy products, and a growing demand for hands-free cattle handling in the region. Included among the companies collaborating to enhance their cattle industry products are Raven Industries Inc. and IBM Corporation. In addition, a number of regional businesses offer their services to local customers through partnerships with other major corporations.

Furthermore, it is anticipated that the Asia Pacific Artificial Intelligence in Livestock Farming market will experience substantial expansion over the projected timeframe. As a result of increasing disease burden and heightened food consumption among livestock and cattle. The anticipated period will witness substantial market expansion owing to the expanding adoption of computer vision and Internet of Things (IoT) technologies within the cattle industry. Prominent entities operating within the cattle industry have already implemented AI technology to significantly enhance the effectiveness and accuracy of their management systems.

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, 2024-2031 (Value US$ Mn)
• Solution/ Software/ App
• IoT Sensors
• Service

Global Artificial Intelligence in Livestock Farming Market, by Application, 2024-2031 (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, 2024-2031 (Value US$ Mn)
• Semi-Automatic
• Fully-Automatic

Global Artificial Intelligence in Livestock Farming Market, by Farm Size, 2024-2031 (Value US$ Mn)
• Small and Medium-Sized Farms
• Large Sized Farms

Global Artificial Intelligence in Livestock Farming Market, by Technology, 2024-2031 (Value US$ Mn)
• Computer Vision
• Machine Learning
• Predictive Analysis

Global Artificial Intelligence in Livestock Farming Market, by Region, 2024-2031 (Value US$ Mn)
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

North America Artificial Intelligence in Livestock Farming Market, by Country, 2024-2031 (Value US$ Mn)
• U.S.
• Canada

Europe Artificial Intelligence in Livestock Farming Market, by Country, 2024-2031 (Value US$ Mn)
• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe

Asia Pacific Artificial Intelligence in Livestock Farming Market, by Country, 2024-2031 (Value US$ Mn)
• India
• China
• Japan
• South Korea
• Australia & New Zealand

Latin America Artificial Intelligence in Livestock Farming Market, by Country, 2024-2031 (Value US$ Mn)
• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa Artificial Intelligence in Livestock Farming Market, by Country, 2024-2031 (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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