Global Artificial Intelligence in Livestock Farming
Market Report
2024
The Global Artificial Intelligence In Livestock Farming market size is USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of 26.80% from 2023 to 2030.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, The Global Artificial Intelligence In Livestock Farming market size is USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of 26.80% from 2023 to 2030.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Artificial Intelligence in Livestock Farming Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.8% |
North America Artificial Intelligence in Livestock Farming Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 3.7% |
Europe Artificial Intelligence in Livestock Farming Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.3% |
Asia Pacific Artificial Intelligence in Livestock Farming Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 28.8% |
Middle East and Africa Artificial Intelligence in Livestock Farming Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.5% |
South America Artificial Intelligence in Livestock Farming Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.2% |
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Key Qualitative Information Covered |
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Artificial Intelligence in Livestock Farming Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The Artificial Intelligence (AI) in Livestock Farming Market involves the application of advanced AI technologies to enhance efficiency, productivity, and decision-making processes within the livestock industry. Growth is being fuelled by the precision livestock farming adoption and rising demand for sustainable agriculture.
For instance, April 2023, IBM and Texas A&M AgriLife collaborated to provide farmers with water consumption insights, which can boost agricultural productivity while lowering economic and environmental expenses. Texas A&M AgriLife and IBM will deploy and grow Liquid Prep, a technology solution that helps farmers decide "when to water" in dry parts of the United States.
(Source: www.ibm.com/blog/ibm-and-texas-am-agrilife-provide-data-technology-and-expertise-to-farmers-in-need/)
Precision Livestock Monitoring and Management emerge as a key driver in the Artificial Intelligence in Livestock Farming market. Advanced AI technologies enable real-time tracking and analysis of individual animal behaviour, health metrics, and environmental conditions. This level of precision empowers farmers to optimize feeding regimes, detect early signs of illness, and enhance overall herd management. The integration of AI-driven solutions enhances operational efficiency, leading to improved productivity and resource utilization in livestock farming.
In May 2022, AGRA and Microsoft expanded their collaboration to help with the digital agricultural transformation. AGRA and Microsoft signed an MoU in Davos for future collaboration through its Africa Transformation Office.
AI's role in disease detection and prevention is a crucial driver in the Artificial Intelligence in Livestock Farming market. Machine learning algorithms analyze vast datasets to identify patterns indicative of disease outbreaks or individual animal health issues. Early detection allows for prompt intervention, reducing the spread of diseases and minimizing economic losses for farmers. The proactive use of AI in disease prevention aligns with the industry's goal of ensuring animal welfare, reducing reliance on antibiotics, and promoting sustainable and healthy livestock production practices.
November 2022 - DJI Agriculture Launches the Mavic 3 Multispectral, equipped with a multispectral imaging system that quickly captures crop growth information to achieve more effective crop production for a broad scope of application scenarios in the fields of precision agriculture and environmental monitoring that will help farmers around the world to improve the quality and efficiency of their production, reducing costs and increasing income.
(Source: www.dji.com/newsroom/news/dji-launches-the-mavic-3-multispectral)
Implementation costs and infrastructure challenges pose a significant restraint in the Artificial Intelligence in Livestock Farming market. The initial investment required for adopting AI technologies, including sensors, data analytics platforms, and connectivity solutions, can be substantial for smaller and traditional farms. Additionally, the lack of robust infrastructure, especially in remote or less technologically developed regions, hinders seamless AI integration. Overcoming these barriers necessitates strategic planning, financial support, and awareness campaigns to encourage widespread adoption and ensure that all segments of the livestock farming industry can access and benefit from AI-driven solutions.
The COVID-19 pandemic has notably impacted the Artificial Intelligence in Livestock Farming market, ushering both challenges and opportunities. The disruptions in supply chains, labor shortages, and logistical challenges faced by the livestock industry compelled a swift adoption of technological solutions, including AI, to mitigate operational disruptions. The need for remote monitoring and management of livestock gained prominence as on-site presence became limited. AI applications in predictive analytics and disease monitoring played a crucial role in ensuring the health and well-being of livestock, addressing concerns related to food security and supply chain resilience. While the pandemic induced uncertainties, it accelerated the recognition of AI as a valuable tool in modernizing and safeguarding the livestock farming sector, fostering a long-term positive outlook for the integration of AI technologies in ensuring a more resilient and efficient livestock industry.
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In the competitive landscape of the Artificial Intelligence in Livestock Farming market, diverse players are actively engaged in developing innovative solutions to address the evolving needs of the industry. Established technology companies, specialized agricultural tech firms, and emerging start-ups contribute to a dynamic ecosystem focused on leveraging AI to enhance livestock management.
(Source: www.infoq.com/news/2022/12/microsoft-farmvibes/)
Top Companies Market Share in Artificial Intelligence in Livestock Farming Industry: (In no particular order of Rank)
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According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which North America held the major market of more than 40% of the global revenue with a market size of USD 180.48 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2023 to 2030. With a technologically advanced agricultural landscape, the region exemplifies a robust adoption of AI-driven solutions in livestock management. The regional analysis underscores the prevalence of precision farming practices, where AI is employed for real-time monitoring, predictive analytics, and disease detection. In North America, large-scale farms particularly dominate the AI integration, leveraging technology for comprehensive herd management. As the largest player, North America's prominence signifies a pivotal role in steering the global trajectory of AI in Livestock Farming, setting industry standards, and driving innovations that contribute to enhanced productivity and sustainability.
According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which Asia-Pacific held the fastest growing market of more than 23% of the global revenue with a market size of USD 180.48 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 28.8% from 2023 to 2030. The regional overview showcases a dynamic agricultural landscape with a surge in technology adoption. In Asia-Pacific, small and medium-sized farms are rapidly integrating AI solutions for precision monitoring, optimizing feed management, and improving overall livestock health. This growth is fueled by the increasing demand for sustainable and efficient farming practices. As the fastest region, Asia-Pacific's ascent signifies a transformative shift in the global livestock industry, with AI technologies playing a pivotal role in shaping modern and technologically advanced farming practices, contributing to increased productivity and food security across the region.
The current report Scope analyzes Artificial Intelligence in Livestock Farming Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
The above graph is for illustrative purposes only. To learn more about geographical trends request the free sample pages. Contact US!
According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which North America held the major market of more than 40% of the global revenue with a market size of USD XX billion in 2023 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2023 to 2030. With a technologically advanced agricultural landscape, the region exemplifies a robust adoption of AI-driven solutions in livestock management. The regional analysis underscores the prevalence of precision farming practices, where AI is employed for real-time monitoring, predictive analytics, and disease detection. In North America, large-scale farms particularly dominate the AI integration, leveraging technology for comprehensive herd management. As the largest player, North America's prominence signifies a pivotal role in steering the global trajectory of AI in Livestock Farming, setting industry standards, and driving innovations that contribute to enhanced productivity and sustainability.
According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which Europe market of more than 30% of the global revenue with a market size of USD XX billion in 2023 and will grow at a compound annual growth rate (CAGR) of 25.3% from 2023 to 2030. The regional overview reveals a technologically mature landscape, where European farmers are swiftly adopting AI-driven solutions for precision livestock management. Particularly, the segment gaining prominence in Europe is large-sized farms, leveraging advanced AI technologies for comprehensive herd monitoring and data-driven decision-making. This rapid growth underscores Europe's commitment to sustainable and efficient farming practices, with AI playing a pivotal role. As the fastest region, Europe exemplifies a strategic shift towards modernizing agriculture, enhancing productivity, and ensuring the overall well-being of livestock, contributing to the region's leadership in shaping the global Artificial Intelligence in Livestock Farming landscape.
According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which Asia-Pacific held the fastest growing market of more than 23% of the global revenue with a market size of USD XX billion in 2023 and will grow at a compound annual growth rate (CAGR) of 28.8% from 2023 to 2030. The regional overview showcases a dynamic agricultural landscape with a surge in technology adoption. In Asia-Pacific, small and medium-sized farms are rapidly integrating AI solutions for precision monitoring, optimizing feed management, and improving overall livestock health. This growth is fueled by the increasing demand for sustainable and efficient farming practices. As the fastest region, Asia-Pacific's ascent signifies a transformative shift in the global livestock industry, with AI technologies playing a pivotal role in shaping modern and technologically advanced farming practices, contributing to increased productivity and food security across the region.
According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which the Middle East and Africa market of more than 2.00% of the global revenue with a market size of USD XX billion in 2023 and will grow at a compound annual growth rate (CAGR) of 26.5% from 2023 to 2030, reflects a nascent yet evolving landscape in the Artificial Intelligence in Livestock Farming market. The regional overview depicts a scenario where technology adoption is gaining momentum, albeit at a measured pace. In the Middle East and Africa, the segment gaining prominence is large-sized farms, incorporating AI solutions for enhanced livestock management. The region's market size indicates a potential for growth as awareness and infrastructure develop. The Middle East and Africa's exploration of AI in Livestock Farming signifies a commitment to modernize agricultural practices, laying the foundation for technological advancements that can contribute to sustainable and efficient livestock farming practices across the region.
According to Cognitive Market Research, the global Artificial Intelligence In Livestock Farming market size was estimated at USD XX Billion out of which Latin America market of more than 5% of the global revenue with a market size of USD XX billion in 2023 and will grow at a compound annual growth rate (CAGR) of 26.2% from 2023 to 2030. The regional overview portrays an agricultural landscape where technology adoption is gaining traction. In Latin America, the segment gaining attention is small and medium-sized farms, leveraging AI solutions for cost-effective precision farming. Despite a modest market share, Latin America showcases potential for transformative advancements in livestock management. As the region invests in technological integration, the market is poised for growth. Latin America's journey in embracing AI in Livestock Farming reflects a commitment to modernizing agriculture, fostering sustainability, and contributing to the broader global evolution of intelligent and efficient farming practices.
Global Artificial Intelligence in Livestock Farming Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Artificial Intelligence in Livestock Farming Industry growth. Artificial Intelligence in Livestock Farming market has been segmented with the help of its Type, Application , and others. Artificial Intelligence in Livestock Farming market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
According to Cognitive Market Research, software solutions stand out as the dominant category, revolutionizing livestock management practices. Advanced AI-driven software provides farmers with comprehensive tools for precision monitoring, predictive analytics, and herd management. These software solutions enable real-time data analysis, allowing farmers to make informed decisions related to animal health, nutrition, and overall farm operations. The dominance of software highlights the pivotal role it plays in transforming traditional farming approaches, enhancing productivity, and ensuring the well-being of livestock through intelligent insights and actionable data.
IoT sensors emerge as the fastest-growing category, accelerating the adoption of precision farming practices. These sensors, equipped with AI capabilities, collect and transmit real-time data on animal behavior, health parameters, and environmental conditions. The rapid growth of IoT sensors reflects the industry's shift towards precision livestock monitoring, where farmers leverage data-driven insights to optimize feeding strategies, detect diseases early, and enhance overall herd management. The integration of IoT sensors exemplifies the industry's commitment to leveraging cutting-edge technologies for efficient and sustainable livestock farming practices.
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According to Cognitive Market Research, large-sized farms emerge as the dominant category in terms of AI adoption. The expansive scale of large farms allows for greater investment capacity, enabling them to deploy advanced AI technologies for comprehensive livestock management. AI applications on large farms include precision monitoring, predictive analytics, and automated decision-making, contributing to increased operational efficiency and enhanced productivity. The dominance of large-sized farms underscores their pivotal role in driving the widespread integration of AI technologies, setting the benchmark for innovative practices that benefit overall herd health and farm sustainability.
Small and medium-sized farms represent the fastest-growing category in the adoption of AI solutions within the Livestock Farming market. While traditionally facing resource constraints, advancements in user-friendly and cost-effective AI technologies cater to the specific needs of smaller farms. These solutions empower smaller operators with tools for precision livestock monitoring, disease detection, and optimized resource management. The rapid growth in AI adoption among small and medium-sized farms signifies a democratization of advanced technologies, contributing to increased efficiency, sustainability, and competitiveness in the broader livestock farming industry.
The above Graph is for representation purposes only. This chart does not depict actual Market share. Please purchase the Artificial Intelligence in Livestock Farming market report 2024 Edition by contacting our team.
Senior Research Analyst at Cognitive Market Research
Catering to tailored needs of clients in Consulting, Business Intelligence, Market Research, Forecasting, Matrix-Modelling, Data Analytics, Competitive Intelligence, Primary research and Consumer Insights.
Catering to tailored needs of clients in Consulting, Business Intelligence, Market Research, Forecasting, Matrix-Modelling, Data Analytics, Competitive Intelligence, Primary research and Consumer Insights. Experience in analyzing current trends, market demand, market assessment, growth indicators, competitors' strategy, etc. to help top management & investors to make strategic and tactical decisions in the form of market reports and presentations. Successfully delivered more than 500+ client & consulting assignments across verticals. Ability to work independently as well as with a team with confidence and ease.
I am committed to continuous learning and staying at the forefront of emerging trends in research and analytics. Regularly engaging in professional development opportunities, including workshops and conferences, keeps my skill set sharp and up-to-date. I spearheaded research initiatives focused on market trends and competitive landscapes. I have a proven track record of conducting thorough analyses, distilling key insights, and presenting findings in a way that resonates with diverse stakeholders. Through collaboration with cross-functional teams, I played a pivotal role in shaping business strategies rooted in robust research.
Disclaimer:
Type | Software, IoT Sensors, Service |
Application | Small and Medium-Sized Farms, Large Sized Farms |
List of Competitors | Connecterra, Rex, Cainthus, Vence., SmartShepherd, Quantified AG, AgriWebb, BovControl, BinSentry Inc, Faromatics, FarrPro, H2Oalert, Hencol |
This chapter will help you gain GLOBAL Market Analysis of Artificial Intelligence in Livestock Farming. Further deep in this chapter, you will be able to review Global Artificial Intelligence in Livestock Farming Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
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Qualitative Analysis for the North America Market: North America Artificial Intelligence in Livestock Farming Market Trends North America Artificial Intelligence in Livestock Farming Technological Road Map North America Artificial Intelligence in Livestock Farming Market Drivers North America Artificial Intelligence in Livestock Farming Market Restraints North America Artificial Intelligence in Livestock Farming Market Opportunity Market Attractiveness Analysis COVID – 19 Impact Analysis PESTEL Analysis Porter’s Five Forces Analysis Product Life Cycle Industrial Chain Analysis
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Chapter 3 Europe Market Analysis
You can purchase only the Executive Summary Europe Market (2019 vs 2024 vs 2031)
Chapter 4 Asia-Pacific Market Analysis
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Chapter 5 South America Market Analysis
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Chapter 6 Middle East and Africa Market Analysis
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Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Type Analysis 2019 -2031, will provide market size split by Type. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Type Analysis 2019 -2031
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Chapter 11 Market Split by Application Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Artificial Intelligence in Livestock Farming market
Chapter 12 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Software have a significant impact on Artificial Intelligence in Livestock Farming market? |
What are the key factors affecting the Software and IoT Sensors of Artificial Intelligence in Livestock Farming Market? |
What is the CAGR/Growth Rate of Small and Medium-Sized Farms during the forecast period? |
By type, which segment accounted for largest share of the global Artificial Intelligence in Livestock Farming Market? |
Which region is expected to dominate the global Artificial Intelligence in Livestock Farming Market within the forecast period? |
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