The AI in livestock farming market size has grown exponentially in recent years. It will grow from $0.47 billion in 2024 to $0.6 billion in 2025 at a compound annual growth rate (CAGR) of 27.2%. The growth in the historic period can be attributed to increasing industrialization, rising demand for protein, growing land scarcity, rising environmental awareness, rising urbanization.
The AI in livestock farming market size is expected to see exponential growth in the next few years. It will grow to $1.55 billion in 2029 at a compound annual growth rate (CAGR) of 26.8%. The growth in the forecast period can be attributed to increasing adoption of precision agriculture, increasing need for resource efficiency, increasing complexity of supply chains, growing focus on disease prevention and biosecurity, rising labor costs. Major trends in the forecast period include technological advancements, artificial intelligence, farm automation, precision livestock farming, animal breeding technologies, health monitoring wearable, genomic selection.
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 report 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 2024. 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.
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).
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 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.
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Table of Contents
Executive Summary
AI In Livestock Farming Global Market Report 2025 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.
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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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- 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
Subsegments:
1) By Solution: Animal Health Monitoring; Farm Management Systems; Feed Management Solutions; Precision Livestock Farming2) By Software: Predictive Analytics Software; Livestock Management Software; Health Monitoring Software
3) By App: Mobile Livestock Management Apps; Animal Tracking Apps; Farm Performance Monitoring Apps
4) By Internet of Things Sensors: Wearable Sensors For Livestock; Environmental Sensors For Farms; Health Monitoring Sensors
5) By Service: Consulting Services; Integration Services; Maintenance And Support Services
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
Some of the major companies featured in this AI in Inventory Management market report include:- 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
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 200 |
Published | March 2025 |
Forecast Period | 2025 - 2029 |
Estimated Market Value ( USD | $ 0.6 Billion |
Forecasted Market Value ( USD | $ 1.55 Billion |
Compound Annual Growth Rate | 26.8% |
Regions Covered | Global |
No. of Companies Mentioned | 26 |