Key Trend Reshaping the Artificial Intelligence (AI) In Precision Livestock Farming Market in 2025: Technological Advancements In AI in Precision Livestock Farming

What combination of drivers is leading to accelerated growth in the artificial intelligence (ai) in precision livestock farming market?
The rise in consumption of poultry and dairy products is predicted to fuel the expansion of artificial intelligence (AI) in the precision livestock farming sector. The term 'poultry and dairy product consumption' implies the intake of foods sourced from poultry, such as chickens, turkeys, and ducks, as well as dairy animals including cows, goats, and sheep. Factors like population growth and people's understanding of these products' nutritional advantages contribute to the escalation in consumption. Farmers use AI in precision livestock farming to improve the effectiveness of poultry and dairy production. The technology aids in animal health monitoring, feed management optimization, and streamlining of reproductive practices to bolster productivity and sustainability. The European Commission (EC), the Belgium-based executive arm of the European Union (EU), reported in August 2023 that raw milk production in the EU increased by 0.8% during the first half of 2023. Hence, the surge in poultry and dairy consumption underpins the growth of artificial intelligence in the precision livestock farming industry.

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What is the projected compound annual growth rate (CAGR) of the artificial intelligence (ai) in precision livestock farming market from 2025 to 2034, and what factors influence it?
In recent times, the market size for artificial intelligence (AI) in precision livestock farming has witnessed significant expansion. The market, which has a value of $2.11 billion in 2024, is projected to increase to $2.72 billion in 2025, equating to a compound annual growth rate (CAGR) of 28.5%. Factors driving growth includes advancements in precision farming, the emergence of predictive analytics, growing demand for top-quality livestock products, rise in precision agriculture, and increasing awareness about animal welfare.

The market size of artificial intelligence (AI) in precision livestock farming is predicted to experience remarkable growth in the coming years, elevating to $7.31 billion in 2029 with a compound annual growth rate (CAGR) of 28.1%. This growth can be credited to the surge in smart farming practices, the demand for proficient management of livestock, growing global population and food requirements, increased calls for sustainable agriculture, emphasis on the health and disease control of animals, and the necessity for resilience against climate change. Dominant trends during this projected period encompass automated inspection, disease identification and prevention, computerised feeding systems, automated climate adjustment systems, computer vision advancements, the internet of things (IoT), off-site observation and management, and breakthroughs in sensor technology.

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What new trends are reshaping the artificial intelligence (ai) in precision livestock farming market and its opportunities?
Predominant organizations in the precision livestock farming market are striving to create sophisticated technological tools such as autonomic feeding systems to enhance animal health and boost productivity efficiency. These automated feeding systems employ AI algorithms to scrutinize real-time data collected from a wide array of sensors, including those keeping tabs on animal behaviour, weight and environmental circumstances. As an illustration, in January 2024, Precision Livestock Technologies Inc., an American firm providing software and hardware solutions for livestock feeding and health, introduced an AI system designed to forecast cattle feed consumption and provide feeding recommendations. The system gathers data from PLT's Bunk Management System and external resources to refine feeding strategies, with the objective of making daily quantitative feeding predictions to refine feeding procedures. It takes into account factors such as feeding rates, timings, cattle behaviour, type of ration, and meteorological conditions to formulate daily quantitative feeding forecasts, aspiring to enhance feeding methods.

What are the major segments of the artificial intelligence (ai) in precision livestock farming market and their role in driving growth?
The artificial intelligence (AI) in precision livestock farming market covered in this report is segmented -

1) By Type: Machine Learning, Computer Vision, Natural Language Processing (NLP)
2) By Livestock Type: Dairy Cattle, Poultry, Swine, Cattle, Aquaculture
3) By Technology Providers: Startups And Small Companies, Agricultural Equipment Manufacturers, Established Technology Companies, Research Institutions And Universities
4) By Application: Automated Animal Health Monitoring, Precision Feeding, Environmental Monitoring, Disease Detection And Prevention, Reproduction Management, Behavioral Analysis And Animal Welfare, Data Analytics

Subsegments:
1) By Machine Learning: Predictive Analytics, Pattern Recognition, Decision Support Systems
2) By Computer Vision: Image Recognition, Animal Behavior Monitoring, Visual Health Monitoring
3) By Natural Language Processing (NLP): Voice Command Recognition, Animal Communication Interpretation, Textual Data Analysis

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Which regions are key players in the growth of the artificial intelligence (ai) in precision livestock farming market?
North America was the largest region in the artificial intelligence (AI) in the precision livestock farming market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in precision livestock farming market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the key firms paving the way for growth in the artificial intelligence (ai) in precision livestock farming market?
Major companies operating in the artificial intelligence (AI) in precision livestock farming market report are Microsoft Corporation; Cargill Incorporated; Amazon Web Services Inc.; Intel Corporation; International Business Machines Corporation; NVIDIA Corporation; Tetra Laval International SA; Zoetis Inc.; GEA Group AG; Big Dutchman International GmbH; Rex Animal Health Inc.; Neogen Corporation; DeLaval International AB; Nedap N.V.; Climate Corporation; Lely International Holding B.V.; Cainthus Holdings Ltd (Ever.Ag); Trioliet B.V.; Waikato Milking System; Afimilk Ltd; Hokofarm Group B.V.; AgriWebb; SwineTech Inc; BinSentry Inc; Fancom B.V.; Connecterra B.V.; SomaDetect Inc.

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What Is Covered In The Artificial Intelligence (AI) In Precision Livestock Farming Global Market Report?

• Market Size Forecast: Examine the artificial intelligence (ai) in precision livestock farming market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in precision livestock farming market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) in precision livestock farming market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in precision livestock farming market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in precision livestock farming market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in precision livestock farming market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in precision livestock farming market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in precision livestock farming market, including expansions, agreements, and new product launches.

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