Allied Market Research

2024

Artificial Intelligence In Livestock Farming Market

Artificial Intelligence in Livestock Farming Market Size, Share, Competitive Landscape and Trend Analysis Report by Component, by Application and by Livestock Type : Opportunity Analysis and Industry Forecast, 2023-2032

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Author's: | Onkar Sumant
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Scope of the Study

For the purpose of analysis, the report covers a micro-level study of different by component, by application, by livestock type. The analysis presented in this section elaborates the attractiveness of each region to identify the lucrative market areas for investment. Region-wise, the report includes the Artificial intelligence in livestock farming market trends across North America, Europe, Asia-Pacific, and LAMEA. In addition, the study covers quantitative analysis for Artificial intelligence in livestock farming market from 2023 to 2032. The CAGR is calculated for 2024 to 2032, considering all the macro- and micro-economic factors, which impact the growth of the Artificial intelligence in livestock farming market.

Market Landscape

The study comprises parent/peer market analysis, patent analysis, pricing analysis, top player positioning in the base year, Porter’s five force analysis, value chain analysis, impact of government regulations on the market, and market dynamics (drivers, restraints, and opportunities), which directly or indirectly impact the growth of the market.

The Artificial intelligence in livestock farming market is segmented on the basis of by component, by application, by livestock type.

Artificial intelligence in livestock farming market Revenue (%), By type

Regional Analysis

The Artificial intelligence in livestock farming market is analyzed across four key regions, which include North America, Europe, Asia-Pacific, and LAMEA. The key countries contributing toward the growth of the market include:

  • North America: U.S., Canada, and Mexico

  • Europe: Germany, UK, Italy, Spain, France, and rest of Europe

  • Asia-Pacific: India, China, Japan, South Korea, Australia, and rest of Asia-Pacific

  • LAMEA: Brazil, Saudi Arabia, South Africa, and rest of LAMEA

Key companies identified in the report are IBM Corporation, Microsoft Corporation, Intel Corporation, DairShare Technologies Inc., Zoetis Inc., Vista Solutions Inc., farmbit, Vetoquinol S.A, EspeRare S.A., Precision AG Services

Research Methodology

AMR offers its clients with comprehensive research and analysis based on a wide variety of factual inputs, which majorly include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. These analytical tools and models refine the data & statistics and enhance the accuracy of our recommendations and advice.

Key Questions Answered in AMR’s Artificial intelligence in livestock farming market Report

The Artificial intelligence in livestock farming market analysis covers in-depth information of major industry participants. Porter’s five forces analysis helps analyze the potential of buyers & suppliers and the competitive scenario of the industry for strategy building. Major countries have been mapped according to their individual revenue contribution to the regional market. The comprehensive report on Artificial intelligence in livestock farming market addressed critical questions for the players operating in the market or planning to enter in the market, and help them to take strategic decisions.

  • How do you see the growth of Artificial intelligence in livestock farming market in the next five years?

  • What are the top winning strategies adopted by the leading players operating in the market?

  • Who are the targeted customers in the Artificial intelligence in livestock farming market?

  • Who are the major players in the Artificial intelligence in livestock farming market

Key Insights Of Artificial intelligence in livestock farming market Report

  • AMR helps analyze the value chain of a particular market from all stakeholder’s perspectives

  • The study includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder

  • Market dynamics includes drivers, restraints, and opportunities of the market. Drivers state the factors that boost the growth of the market, whereas restraints are the factors that are likely to hamper the market growth. Opportunities are the factors that act as the catalysts of the market. All these factors, along with data facts, are covered in the study

  • The parent/peer market analysis helps in understanding the parent market, and estimate the share of the Artificial intelligence in livestock farming market in the parent market. In some cases, it exhibits a comparative share analysis between Artificial intelligence in livestock farming market and its peer products.

Artificial Intelligence in Livestock Farming Market Report Highlights

Aspects Details
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By Component
  • Hardware
  • Software
  • Services
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By Application
  • Livestock Monitoring
  • Livestock Identification
  • Livestock Feeding
  • Others
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By Livestock Type
  • Ruminants
  • Pigs
  • Poultry
  • Equine
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By Region
  • North America  (U.S., Canada, Mexico)
  • Europe  (France, Germany, Italy, Spain, UK, Russia, Rest of Europe)
  • Asia-Pacific  (China, Japan, India, South Korea, Australia, Thailand, Malaysia, Indonesia, Rest of Asia-Pacific)
  • LAMEA  (Brazil, South Africa, Saudi Arabia, UAE, Argentina, Rest of LAMEA)
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Key Market Players

Microsoft Corporation, Vista Solutions Inc., EspeRare S.A., farmbit, Vetoquinol S.A, Precision AG Services, DairShare Technologies Inc., Intel Corporation, IBM Corporation, Zoetis Inc.

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Artificial Intelligence in Livestock Farming Market

Opportunity Analysis and Industry Forecast, 2023-2032