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Artificial Intelligence in Livestock Farming-Global Market Insights and Sales Trends 2025
Synopsis
Farmers often face challenges and issues such as poor infrastructure, low connectivity, unmet demands for animal proteins, and rapidly spreading disease amongst livestock. AI Technology is disrupting all industries in the modern age and livestock management is no exception. Since the past few years, the entire dairy and livestock industry has drastically changed due to the augmentation of disruptive digital transformation, which has made traditional procedures simpler and has helped farmers make data-driven decisions. With the launch of AI technologies in livestock farming, many farmers were able to accelerate their livestock production, overall revenue, enhance livestock health and carefully monitor budding diseases that could likely be a threat to the animals.
The global Artificial Intelligence in Livestock Farming market size is expected to reach US$ 26620 million by 2029, growing at a CAGR of 21.8% from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence in Livestock Farming in various end use industries. The expanding demands from the Small and Medium-Sized Farms and Large Sized Farms, are propelling Artificial Intelligence in Livestock Farming market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the IoT Sensors segment is estimated at % CAGR for the next seven-year period.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/77 of that of the United States.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence in Livestock Farming, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence in Livestock Farming market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence in Livestock Farming market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence in Livestock Farming sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence in Livestock Farming covered in this report include Connecterra, Cainthus, Vence, SmartShepherd, Pixobot, AgriWebb, BovControl, FarrPro and H2Oalert, etc.
The global Artificial Intelligence in Livestock Farming market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Connecterra
Cainthus
Vence
SmartShepherd
Pixobot
AgriWebb
BovControl
FarrPro
H2Oalert
Hencol
Jaguza Tech
Moonsyst
Roper
Simple Ag Solutions
SomaDetect
SwineTech
Global Artificial Intelligence in Livestock Farming market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence in Livestock Farming market, Segment by Type:
Software
IoT Sensors
Service
Global Artificial Intelligence in Livestock Farming market, by Application
Small and Medium-Sized Farms
Large Sized Farms
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence in Livestock Farming companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Farmers often face challenges and issues such as poor infrastructure, low connectivity, unmet demands for animal proteins, and rapidly spreading disease amongst livestock. AI Technology is disrupting all industries in the modern age and livestock management is no exception. Since the past few years, the entire dairy and livestock industry has drastically changed due to the augmentation of disruptive digital transformation, which has made traditional procedures simpler and has helped farmers make data-driven decisions. With the launch of AI technologies in livestock farming, many farmers were able to accelerate their livestock production, overall revenue, enhance livestock health and carefully monitor budding diseases that could likely be a threat to the animals.
The global Artificial Intelligence in Livestock Farming market size is expected to reach US$ 26620 million by 2029, growing at a CAGR of 21.8% from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence in Livestock Farming in various end use industries. The expanding demands from the Small and Medium-Sized Farms and Large Sized Farms, are propelling Artificial Intelligence in Livestock Farming market. Software, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the IoT Sensors segment is estimated at % CAGR for the next seven-year period.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/77 of that of the United States.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence in Livestock Farming, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence in Livestock Farming market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence in Livestock Farming market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence in Livestock Farming sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence in Livestock Farming covered in this report include Connecterra, Cainthus, Vence, SmartShepherd, Pixobot, AgriWebb, BovControl, FarrPro and H2Oalert, etc.
The global Artificial Intelligence in Livestock Farming market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Connecterra
Cainthus
Vence
SmartShepherd
Pixobot
AgriWebb
BovControl
FarrPro
H2Oalert
Hencol
Jaguza Tech
Moonsyst
Roper
Simple Ag Solutions
SomaDetect
SwineTech
Global Artificial Intelligence in Livestock Farming market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence in Livestock Farming market, Segment by Type:
Software
IoT Sensors
Service
Global Artificial Intelligence in Livestock Farming market, by Application
Small and Medium-Sized Farms
Large Sized Farms
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence in Livestock Farming companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Artificial Intelligence in Livestock Farming
1.1 Artificial Intelligence in Livestock Farming Market Overview
1.1.1 Artificial Intelligence in Livestock Farming Product Scope
1.1.2 Artificial Intelligence in Livestock Farming Market Status and Outlook
1.2 Global Artificial Intelligence in Livestock Farming Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Artificial Intelligence in Livestock Farming Market Size by Region (2018-2029)
1.4 Global Artificial Intelligence in Livestock Farming Historic Market Size by Region (2018-2023)
1.5 Global Artificial Intelligence in Livestock Farming Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Artificial Intelligence in Livestock Farming Market Size (2018-2029)
1.6.1 North America Artificial Intelligence in Livestock Farming Market Size (2018-2029)
1.6.2 Europe Artificial Intelligence in Livestock Farming Market Size (2018-2029)
1.6.3 Asia-Pacific Artificial Intelligence in Livestock Farming Market Size (2018-2029)
1.6.4 Latin America Artificial Intelligence in Livestock Farming Market Size (2018-2029)
1.6.5 Middle East & Africa Artificial Intelligence in Livestock Farming Market Size (2018-2029)
2 Artificial Intelligence in Livestock Farming Market by Type
2.1 Introduction
2.1.1 Software
2.1.2 IoT Sensors
2.1.3 Service
2.2 Global Artificial Intelligence in Livestock Farming Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Artificial Intelligence in Livestock Farming Historic Market Size by Type (2018-2023)
2.2.2 Global Artificial Intelligence in Livestock Farming Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Artificial Intelligence in Livestock Farming Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Artificial Intelligence in Livestock Farming Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Artificial Intelligence in Livestock Farming Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Artificial Intelligence in Livestock Farming Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Artificial Intelligence in Livestock Farming Revenue Breakdown by Type (2018-2029)
3 Artificial Intelligence in Livestock Farming Market Overview by Application
3.1 Introduction
3.1.1 Small and Medium-Sized Farms
3.1.2 Large Sized Farms
3.2 Global Artificial Intelligence in Livestock Farming Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Artificial Intelligence in Livestock Farming Historic Market Size by Application (2018-2023)
3.2.2 Global Artificial Intelligence in Livestock Farming Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Artificial Intelligence in Livestock Farming Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Artificial Intelligence in Livestock Farming Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Artificial Intelligence in Livestock Farming Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Artificial Intelligence in Livestock Farming Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Artificial Intelligence in Livestock Farming Revenue Breakdown by Application (2018-2029)
4 Artificial Intelligence in Livestock Farming Competition Analysis by Players
4.1 Global Artificial Intelligence in Livestock Farming Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Artificial Intelligence in Livestock Farming as of 2022)
4.3 Date of Key Players Enter into Artificial Intelligence in Livestock Farming Market
4.4 Global Top Players Artificial Intelligence in Livestock Farming Headquarters and Area Served
4.5 Key Players Artificial Intelligence in Livestock Farming Product Solution and Service
4.6 Competitive Status
4.6.1 Artificial Intelligence in Livestock Farming Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Connecterra
5.1.1 Connecterra Profile
5.1.2 Connecterra Main Business
5.1.3 Connecterra Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.1.4 Connecterra Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.1.5 Connecterra Recent Developments
5.2 Cainthus
5.2.1 Cainthus Profile
5.2.2 Cainthus Main Business
5.2.3 Cainthus Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.2.4 Cainthus Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.2.5 Cainthus Recent Developments
5.3 Vence
5.3.1 Vence Profile
5.3.2 Vence Main Business
5.3.3 Vence Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.3.4 Vence Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.3.5 SmartShepherd Recent Developments
5.4 SmartShepherd
5.4.1 SmartShepherd Profile
5.4.2 SmartShepherd Main Business
5.4.3 SmartShepherd Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.4.4 SmartShepherd Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.4.5 SmartShepherd Recent Developments
5.5 Pixobot
5.5.1 Pixobot Profile
5.5.2 Pixobot Main Business
5.5.3 Pixobot Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.5.4 Pixobot Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.5.5 Pixobot Recent Developments
5.6 AgriWebb
5.6.1 AgriWebb Profile
5.6.2 AgriWebb Main Business
5.6.3 AgriWebb Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.6.4 AgriWebb Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.6.5 AgriWebb Recent Developments
5.7 BovControl
5.7.1 BovControl Profile
5.7.2 BovControl Main Business
5.7.3 BovControl Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.7.4 BovControl Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.7.5 BovControl Recent Developments
5.8 FarrPro
5.8.1 FarrPro Profile
5.8.2 FarrPro Main Business
5.8.3 FarrPro Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.8.4 FarrPro Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.8.5 FarrPro Recent Developments
5.9 H2Oalert
5.9.1 H2Oalert Profile
5.9.2 H2Oalert Main Business
5.9.3 H2Oalert Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.9.4 H2Oalert Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.9.5 H2Oalert Recent Developments
5.10 Hencol
5.10.1 Hencol Profile
5.10.2 Hencol Main Business
5.10.3 Hencol Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.10.4 Hencol Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.10.5 Hencol Recent Developments
5.11 Jaguza Tech
5.11.1 Jaguza Tech Profile
5.11.2 Jaguza Tech Main Business
5.11.3 Jaguza Tech Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.11.4 Jaguza Tech Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.11.5 Jaguza Tech Recent Developments
5.12 Moonsyst
5.12.1 Moonsyst Profile
5.12.2 Moonsyst Main Business
5.12.3 Moonsyst Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.12.4 Moonsyst Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.12.5 Moonsyst Recent Developments
5.13 Roper
5.13.1 Roper Profile
5.13.2 Roper Main Business
5.13.3 Roper Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.13.4 Roper Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.13.5 Roper Recent Developments
5.14 Simple Ag Solutions
5.14.1 Simple Ag Solutions Profile
5.14.2 Simple Ag Solutions Main Business
5.14.3 Simple Ag Solutions Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.14.4 Simple Ag Solutions Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.14.5 Simple Ag Solutions Recent Developments
5.15 SomaDetect
5.15.1 SomaDetect Profile
5.15.2 SomaDetect Main Business
5.15.3 SomaDetect Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.15.4 SomaDetect Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.15.5 SomaDetect Recent Developments
5.16 SwineTech
5.16.1 SwineTech Profile
5.16.2 SwineTech Main Business
5.16.3 SwineTech Artificial Intelligence in Livestock Farming Products, Services and Solutions
5.16.4 SwineTech Artificial Intelligence in Livestock Farming Revenue (US$ Million) & (2018-2023)
5.16.5 SwineTech Recent Developments
6 North America
6.1 North America Artificial Intelligence in Livestock Farming Market Size by Country (2018-2029)
6.2 United States
6.3 Canada
7 Europe
7.1 Europe Artificial Intelligence in Livestock Farming Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Livestock Farming Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Artificial Intelligence in Livestock Farming Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Livestock Farming Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Artificial Intelligence in Livestock Farming Market Dynamics
11.1 Artificial Intelligence in Livestock Farming Industry Trends
11.2 Artificial Intelligence in Livestock Farming Market Drivers
11.3 Artificial Intelligence in Livestock Farming Market Challenges
11.4 Artificial Intelligence in Livestock Farming Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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