The AI in livestock farming market size has grown exponentially in recent years. It will grow from $0.37 billion in 2023 to $0.47 billion in 2024 at a compound annual growth rate (CAGR) of 26.7%. The expansion witnessed in the historical period can be attributed to several factors, including increasing industrialization, a rising demand for protein, growing land scarcity, heightened environmental awareness, and increasing urbanization.
The AI in livestock farming market size is expected to see exponential growth in the next few years. It will grow to $1.22 billion in 2028 at a compound annual growth rate (CAGR) of 26.9%. The projected growth in the upcoming period is expected to be driven by several factors, including the increasing adoption of precision agriculture practices, a growing demand for resource efficiency in farming operations, the heightened complexity of supply chains, an increasing focus on disease prevention and biosecurity measures, and the rise in labor costs. Key trends anticipated in the forecast period encompass advancements in technology, the integration of artificial intelligence into agricultural processes, the automation of farm operations, the implementation of precision livestock farming techniques, the utilization of advanced animal breeding technologies, the development of health monitoring wearables for livestock, and the adoption of genomic selection methods.
The surging demand for livestock products is poised to drive the growth of AI in the livestock farming market in the foreseeable future. Livestock products encompass a wide range of items such as meat, dairy, eggs, and other commodities derived from animals raised for agricultural purposes. AI technologies play a crucial role in empowering farmers to collect, analyze, and interpret large volumes of data from various sources like sensors, drones, and satellite imagery. This data enables informed decision-making regarding animal health, nutrition, breeding, and management practices, leading to improved productivity and efficiency in livestock farming. For example, according to the Australian Bureau of Statistics in March 2023, lamb meat production increased from 121.8 tons in 2021 to 125.6 tons in 2022, signaling a growing trend in demand. Consequently, the increasing demand for livestock products acts as a catalyst for the growth of AI in the livestock farming market.
Major players in the AI in the livestock farming market are actively developing intelligent and advanced solutions like CowGPT to gain a competitive advantage. CowGPT is specifically designed to cater to the needs of the veterinary, dairy, and animal husbandry industries, which are pivotal sectors for food production and animal welfare. For instance, eVerse.AI, a US-based technology company, launched CowGPT in December 2022, marking it as the first generative AI program tailored for these industries. CowGPT leverages generative AI technology to produce highly realistic and intricate content, mimicking human creativity and serving as a valuable tool for veterinary, dairy, and animal husbandry applications.
In March 2024, GEA Group AG, a Germany-based engineering company, acquired CattleEye to integrate an advanced artificial intelligence system into its offerings, focusing on enhancing animal health and welfare in dairy operations. CattleEye, based in Ireland, specializes in developing innovative AI solutions for livestock management, health monitoring, and welfare improvement, aligning with GEA's strategic vision for technological advancements in the livestock farming sector.
Major companies operating in the AI in livestock farming market 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.
North America was the largest region in the AI in livestock farming market in 2023. 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. The countries covered in the AI in livestock farming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
AI in livestock farming entails the integration of artificial intelligence technologies into agricultural practices to enhance productivity, animal welfare, and operational efficiency. This involves leveraging machine learning algorithms for data analysis, implementing automated monitoring systems, and utilizing predictive analytics for optimal herd management.
Prominent players in the AI livestock farming sector are pioneering intelligent solutions, including generative AI programs, to bolster productivity and efficiency in animal husbandry. The generative AI program for animal husbandry is an AI-based solution tailored to address the needs of the veterinary, dairy, and animal husbandry industries, critical sectors for food production and animal welfare. For instance, in December 2022, eVerse.AI, a US-based technology company, introduced CowGPT, the inaugural generative AI program specifically designed for the veterinary, dairy, and animal husbandry sectors. CowGPT utilizes generative AI technology capable of producing highly realistic and intricate content that mimics human creativity, thus serving as a valuable tool for these industries.
The AI In livestock farming market research report is one of a series of new reports that provides AI In livestock farming market statistics, including AI In livestock farming industry global market size, regional shares, competitors with AI In livestock farming market share, detailed AI In livestock farming market segments, market trends, and opportunities, and any further data you may need to thrive in the AI In livestock farming industry. This AI In livestock farming market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in the livestock farming market consists of revenues earned by entities providing services such as animal welfare assessment, supply chain optimization, and training and consulting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the livestock farming market also includes sales of AI-powered monitoring devices, predictive analytics software, and precision feeding systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The AI in livestock farming market size is expected to see exponential growth in the next few years. It will grow to $1.22 billion in 2028 at a compound annual growth rate (CAGR) of 26.9%. The projected growth in the upcoming period is expected to be driven by several factors, including the increasing adoption of precision agriculture practices, a growing demand for resource efficiency in farming operations, the heightened complexity of supply chains, an increasing focus on disease prevention and biosecurity measures, and the rise in labor costs. Key trends anticipated in the forecast period encompass advancements in technology, the integration of artificial intelligence into agricultural processes, the automation of farm operations, the implementation of precision livestock farming techniques, the utilization of advanced animal breeding technologies, the development of health monitoring wearables for livestock, and the adoption of genomic selection methods.
The surging demand for livestock products is poised to drive the growth of AI in the livestock farming market in the foreseeable future. Livestock products encompass a wide range of items such as meat, dairy, eggs, and other commodities derived from animals raised for agricultural purposes. AI technologies play a crucial role in empowering farmers to collect, analyze, and interpret large volumes of data from various sources like sensors, drones, and satellite imagery. This data enables informed decision-making regarding animal health, nutrition, breeding, and management practices, leading to improved productivity and efficiency in livestock farming. For example, according to the Australian Bureau of Statistics in March 2023, lamb meat production increased from 121.8 tons in 2021 to 125.6 tons in 2022, signaling a growing trend in demand. Consequently, the increasing demand for livestock products acts as a catalyst for the growth of AI in the livestock farming market.
Major players in the AI in the livestock farming market are actively developing intelligent and advanced solutions like CowGPT to gain a competitive advantage. CowGPT is specifically designed to cater to the needs of the veterinary, dairy, and animal husbandry industries, which are pivotal sectors for food production and animal welfare. For instance, eVerse.AI, a US-based technology company, launched CowGPT in December 2022, marking it as the first generative AI program tailored for these industries. CowGPT leverages generative AI technology to produce highly realistic and intricate content, mimicking human creativity and serving as a valuable tool for veterinary, dairy, and animal husbandry applications.
In March 2024, GEA Group AG, a Germany-based engineering company, acquired CattleEye to integrate an advanced artificial intelligence system into its offerings, focusing on enhancing animal health and welfare in dairy operations. CattleEye, based in Ireland, specializes in developing innovative AI solutions for livestock management, health monitoring, and welfare improvement, aligning with GEA's strategic vision for technological advancements in the livestock farming sector.
Major companies operating in the AI in livestock farming market 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.
North America was the largest region in the AI in livestock farming market in 2023. 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. The countries covered in the AI in livestock farming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
AI in livestock farming entails the integration of artificial intelligence technologies into agricultural practices to enhance productivity, animal welfare, and operational efficiency. This involves leveraging machine learning algorithms for data analysis, implementing automated monitoring systems, and utilizing predictive analytics for optimal herd management.
Prominent players in the AI livestock farming sector are pioneering intelligent solutions, including generative AI programs, to bolster productivity and efficiency in animal husbandry. The generative AI program for animal husbandry is an AI-based solution tailored to address the needs of the veterinary, dairy, and animal husbandry industries, critical sectors for food production and animal welfare. For instance, in December 2022, eVerse.AI, a US-based technology company, introduced CowGPT, the inaugural generative AI program specifically designed for the veterinary, dairy, and animal husbandry sectors. CowGPT utilizes generative AI technology capable of producing highly realistic and intricate content that mimics human creativity, thus serving as a valuable tool for these industries.
The AI In livestock farming market research report is one of a series of new reports that provides AI In livestock farming market statistics, including AI In livestock farming industry global market size, regional shares, competitors with AI In livestock farming market share, detailed AI In livestock farming market segments, market trends, and opportunities, and any further data you may need to thrive in the AI In livestock farming industry. This AI In livestock farming market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in the livestock farming market consists of revenues earned by entities providing services such as animal welfare assessment, supply chain optimization, and training and consulting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the livestock farming market also includes sales of AI-powered monitoring devices, predictive analytics software, and precision feeding systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. AI in Livestock Farming Market Characteristics3. AI in Livestock Farming Market Trends and Strategies32. Global AI in Livestock Farming Market Competitive Benchmarking33. Global AI in Livestock Farming Market Competitive Dashboard34. Key Mergers and Acquisitions in the AI in Livestock Farming Market
4. AI in Livestock Farming Market - Macro Economic Scenario
5. Global AI in Livestock Farming Market Size and Growth
6. AI in Livestock Farming Market Segmentation
7. AI in Livestock Farming Market Regional and Country Analysis
8. Asia-Pacific AI in Livestock Farming Market
9. China AI in Livestock Farming Market
10. India AI in Livestock Farming Market
11. Japan AI in Livestock Farming Market
12. Australia AI in Livestock Farming Market
13. Indonesia AI in Livestock Farming Market
14. South Korea AI in Livestock Farming Market
15. Western Europe AI in Livestock Farming Market
16. UK AI in Livestock Farming Market
17. Germany AI in Livestock Farming Market
18. France AI in Livestock Farming Market
19. Italy AI in Livestock Farming Market
20. Spain AI in Livestock Farming Market
21. Eastern Europe AI in Livestock Farming Market
22. Russia AI in Livestock Farming Market
23. North America AI in Livestock Farming Market
24. USA AI in Livestock Farming Market
25. Canada AI in Livestock Farming Market
26. South America AI in Livestock Farming Market
27. Brazil AI in Livestock Farming Market
28. Middle East AI in Livestock Farming Market
29. Africa AI in Livestock Farming Market
30. AI in Livestock Farming Market Competitive Landscape and Company Profiles
31. AI in Livestock Farming Market Other Major and Innovative Companies
35. AI in Livestock Farming Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
AI in Livestock Farming Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on AI in livestock farming market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
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Description
Where is the largest and fastest growing market for AI in livestock farming? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The AI in livestock farming market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) by Component: Solution; Software; App; Internet of Things Sensors; Service2) 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
Key Companies Mentioned: Zoetis Inc.; Rex Animal Health Inc.; DeLaval International AB; Sentera LLC; Afimilk Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- 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
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | June 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 0.47 Billion |
Forecasted Market Value ( USD | $ 1.22 Billion |
Compound Annual Growth Rate | 26.9% |
Regions Covered | Global |
No. of Companies Mentioned | 25 |