According to our (Global Info Research) latest study, the global AI in Livestock market size was valued at US$ 272 million in 2025 and is forecast to a readjusted size of US$ 492 million by 2032 with a CAGR of 8.7% during review period.
AI in Livestock refers to an intelligent technology system that deeply integrates computer vision, IoT sensors, and machine learning models, applying them to the entire livestock farming process. It collects real-time data on livestock weight, body temperature, feed intake, and movement patterns by deploying high-definition cameras, sound sensors, and wearable devices within the farm. The core algorithm can automatically identify individual livestock, detect abnormal behaviors such as lameness and respiratory diseases, and accurately predict estrus and farrowing times. Furthermore, the system can dynamically adjust feed formulations based on growth curves, achieving precise feeding. This technology aims to replace traditional manual inspections, reduce the risk of disease transmission, improve reproductive efficiency and meat yield, and drive the transformation of livestock farming from experience-based to a data-driven, refined model.
This report is a detailed and comprehensive analysis for global AI in Livestock market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI in Livestock market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI in Livestock market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI in Livestock market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI in Livestock market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Livestock
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Livestock market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Connecterra, SomaDetect, Labby, Orbem, Volur, Cattle Care, Farm4trade, AIHerd, CattleEye, Plainsight, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Livestock market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Computer Vision Recognition
Sound Behavior Analysis
Wearable Sensing and Monitoring
Environmental Data Fusion
Others
Market segment by Algorithm Model
Supervised Learning
Reinforcement Learning
Federated Learning
Others
Market segment by Deployment
Edge Computing
Cloud-Based
On-Premises Deployment
Market segment by Application
Dairy Farming
Pig Farming
Poultry Farming
Aquaculture
Others
Market segment by players, this report covers
Connecterra
SomaDetect
Labby
Orbem
Volur
Cattle Care
Farm4trade
AIHerd
CattleEye
Plainsight
Nexa Labs
Artificialy
Dilepix
Goodwillcis
Smartahc
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Livestock product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Livestock, with revenue, gross margin, and global market share of AI in Livestock from 2021 to 2026.
Chapter 3, the AI in Livestock competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI in Livestock market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Livestock.
Chapter 13, to describe AI in Livestock research findings and conclusion.
Summary:
Get latest Market Research Reports on AI in Livestock. Industry analysis & Market Report on AI in Livestock is a syndicated market report, published as Global AI in Livestock Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI in Livestock market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.