Tuesday, 02 January 2024 12:17 GMT

AI In Livestock Farming Presents A $3+ Billion Market Opportunity By 2034: Identify Fast-Growing Segments And Leading Strategies In This Booming Industry


(MENAFN- GlobeNewsWire - Nasdaq) The AI in Livestock Farming market is rapidly evolving with opportunities in enhancing efficiency, sustainability, and animal welfare. Key trends include sensor-based monitoring, computer vision for behavior analysis, and robotic automation. Drivers are sustainability demands, improved animal welfare, labor shortages, and AI advancements.

Dublin, Oct. 08, 2025 (GLOBE NEWSWIRE) -- The "AI In Livestock Farming Market Size, Share, Trends, Analysis, and Forecast 2025-2034 | Global Industry Growth, Competitive Landscape, Opportunities, and Challenges" has been added to ResearchAndMarkets's offering.
The global AI in Livestock Farming Market is poised for rapid growth, with an estimated valuation of USD 508.5 million in 2025 and a projected CAGR of 21.9%, expected to reach USD 3.02 billion by 2034. This transformation is driven by the necessity for efficiency, sustainability, and enhanced animal welfare through technologies like machine learning, computer vision, and robotics.

The year 2024 has marked significant advancements, with increased adoption of sensor-based monitoring and computer vision systems for early disease detection, enabling timely interventions. Automated milking and feeding with robotic integration have improved efficiency, while AI-driven breeding programs have enhanced genetic traits and productivity. Environmental monitoring through AI-powered platforms is optimizing resource usage and reducing environmental impacts.

Looking ahead, advances in predictive analytics will further transform animal health and productivity forecasting. The fusion of AI with blockchain technology is anticipated to enhance traceability and transparency in the supply chain, offering consumers reliable verification of livestock product origins and quality. AI-powered solutions will extend their reach to automating complex tasks, enriching personalized animal care, and promoting sustainability through optimized resource use and minimized environmental footprints. Enhanced behavioral analysis will contribute to improved animal welfare, with a particular focus on addressing the unique needs of small-scale farms.

The segmentation of the AI in Livestock Farming Market is multifaceted, covering components such as solutions, software, IoT sensors, and services, as well as technologies like computer vision and machine learning. Applications span real-time livestock behavior monitoring, healthcare, feed and water monitoring, and production management, catering to diverse end-users ranging from small to large-sized farms across global regions.

This research offers valuable insights for management, strategists, investors, and developers intending to navigate and capitalize on opportunities within this burgeoning market. The comprehensive study delivers global, regional, and country-specific forecasts, alongside detailed market dynamics, competitive analysis, and future outlooks. Customization options are available to align with specific market needs and strategic requirements, ensuring stakeholders can effectively position their offerings in this rapidly evolving space.

Market Dynamics

  • Key Market Trends
    • Sensor-Based Monitoring: Utilizing AI to analyze sensor data for animal health and environmental monitoring.
    • Computer Vision for Animal Behavior: Tracking animal movements for disease detection.
    • Robotic Automation: Integrating AI with robotics for tasks like milking and feeding.
    • Predictive Analytics: Using AI to foresee animal health issues and enable timely actions.
    • AI-Driven Breeding: Enhancing breeding programs for better genetic outcomes and productivity.
  • Market Drivers
    • Growing demand for sustainable farming practices leveraging AI for efficiency and reduced environmental impact.
    • Enhanced animal welfare through AI-driven monitoring systems.
    • Addressing labor shortages in agriculture through AI-driven automation.
    • Technological advancements in AI enhancing overall analytical capabilities.
  • Market Challenge
    • Infrastructure constraints, such as data connectivity in rural areas, impacting AI implementation.

Key Attributes

Report Attribute Details
No. of Pages 150
Forecast Period 2025-2034
Estimated Market Value (USD) in 2025 $508.5 Million
Forecasted Market Value (USD) by 2034 $3.02 Billion
Compound Annual Growth Rate 21.9%
Regions Covered Global

Companies Featured in the Report:

  • 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

For more information about this report visit

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