AI in Precision Livestock Farming Market Forecast 2025 | Rising Demand & Investment Prospects

Market Size and Growth

Global artificial intelligence (AI) in precision livestock farming market reached US$ 2.23 billion in 2024 and is expected to reach US$ 19.87 billion by 2032, growing with a CAGR of 15.39% during the forecast period 2025-2032.

Artificial Intelligence (AI) In Precision Livestock Farming Market report, published by DataM Intelligence has released its latest in-depth analysis on the global Artificial Intelligence (AI) In Precision Livestock Farming Market, delivering a detailed overview of regional growth patterns, market segmentation, CAGR, and financial performance among leading industry players. The report offers readers a clear snapshot of the current market value and volume, alongside an exploration of emerging opportunities and ongoing developments. By shining a spotlight on key market drivers and highlighting the evolving industry landscape, the report equips businesses and stakeholders with strategic insights to identify new growth avenues and navigate future market dynamics confidently.

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Artificial Intelligence (AI) in Precision Livestock Farming refers to the use of AI technologies, such as machine learning, computer vision, and sensor analytics, to monitor, manage, and optimize livestock health, productivity, and welfare. Applications include real-time tracking of animal behavior, early disease detection, feed optimization, and automated breeding management. By enabling data-driven decisions, AI in precision livestock farming improves efficiency, reduces costs, enhances animal well-being, and promotes sustainable and smart farming practices.

Key Players:

-> Connecterra, Cainthus, Vence, DeLaval, Afimilk Ltd, BouMatic, Allflex Livestock Intelligence (MSD Animal Health), Quantified Ag, Cargill, Incorporated, GEA Group, Moocall and among others.

Key Development:

United States: Recent Industry Developments

✅ In July 2025, researchers introduced an AI-enhanced Walk-Over-Weighing (WoW) system, enabling efficient, non-invasive weight monitoring of livestock as they walk over scales. This advancement allows for real-time data collection without disrupting animal behavior.

✅ In June 2025, wearable devices for cows gained traction among U.S. dairy farmers. These AI-driven wearables monitor health, movement, and behavior, enabling early detection of diseases like avian influenza and reducing manual labor requirements.

✅ In May 2025, the U.S. AgTech sector saw a $1.82 billion investment in precision farming technologies, despite a broader capital downturn. This investment underscores the growing interest in automation and robotics within the agriculture industry.

Japan: Recent Industry Developments

✅ In July 2025, a Japanese agricultural machinery manufacturer unveiled AI-driven drones designed for precision monitoring and input application. These drones enhance farm productivity by providing real-time data and automating tasks.

✅ In June 2025, the Japanese Ministry of Agriculture launched initiatives promoting the integration of robotics and AI in agriculture. These efforts aim to address challenges like labor shortages and environmental sustainability.

✅ In May 2025, Japan's AI in Precision Livestock Farming market was projected to grow significantly, reflecting increased adoption of AI technologies in livestock management and farming practices.

Growth Forecast Projected:

The Global Artificial Intelligence (AI) In Precision Livestock Farming Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2023, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

Research Process:

Both primary and secondary data sources have been used in the global Artificial Intelligence (AI) In Precision Livestock Farming Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

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Key Segments:

By Component: Hardware, Software, Services

By Deployment Mode: Cloud-Based, On-Premise

By Livestock Type: Cattle, Poultry, Swine, Sheep & Goats, Others

By Application: Feeding Management, Milk Harvesting & Monitoring, Reproduction Management, Animal Health Monitoring & Disease Detection, Livestock Behavior & Welfare Monitoring, Supply Chain & Farm Management, Others

Regional Analysis for Artificial Intelligence (AI) In Precision Livestock Farming Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

Benefits of the Report:

Chapter 1: Sets the stage by outlining the report's coverage, summarizing key market segments by region, product type, and application. Presents a snapshot of market sizes, growth potential across segments, and anticipated industry evolution both short and long term.

Chapter 2: Highlights pivotal market insights and uncovers the most significant emerging trends driving change within the industry.

Chapter 3: Offers an in-depth look at the competitive landscape among Artificial Intelligence (AI) In Precision Livestock Farming producers, including revenue shares, strategic moves, and recent mergers and acquisitions.

Chapter 4: Presents comprehensive profiles of the market's key players, delving into details such as revenue, profit margins, product portfolios, and company milestones.

Chapters 5 & 6: Analyze Artificial Intelligence (AI) In Precision Livestock Farming revenue at both regional and country levels, providing quantitative breakdowns of market sizes, growth opportunities, and development prospects worldwide.

Chapter 7: Focuses on different market segments by type, examining their individual sizes and potential, guiding readers toward high-impact, untapped market areas.

Chapter 8: Explores segmentation by application, evaluating industry growth potential in various downstream markets and pinpointing promising sectors for expansion.

Chapter 9: Provides a thorough review of the industry's supply chain mapping out both upstream and downstream activities.

Chapter 10: Concludes with a summary of the report's key findings and highlights the most critical takeaways for industry stakeholders.

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FAQ

What is the current size of the Artificial Intelligence (AI) In Precision Livestock Farming Market?

A: In 2024, the Artificial Intelligence (AI) In Precision Livestock Farming Market was valued at US$ 2.23 billion, reflecting its strong industry presence.

Q2: How large is the Artificial Intelligence (AI) In Precision Livestock Farming Market expected to be by 2032?

A: By 2032, industry forecasts suggest the Artificial Intelligence (AI) In Precision Livestock Farming Market will grow to around US$ 19.87 billion , demonstrating significant expansion.

Q3: What is the growth rate of the Artificial Intelligence (AI) In Precision Livestock Farming Market?

A: The market is projected to expand at a compound annual growth rate (CAGR) of 15.39% during the forecast period from 2025 to 2032.

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