Livestock Genomic AI Market Is Going to Boom | Major Giants Zoetis, Neogen, Genus PLC, Illumina

HTF MI just released the Global Livestock Genomic AI Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2025-2033. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.

Major companies profiled in Livestock Genomic AI Market are: Zoetis, Neogen, Genus PLC, Illumina, Thermo Fisher Scientific, Hendrix Genetics, CRV Holding, PIC, ABS Global, Envigo, Bayer Animal Health, Merck Animal Health, Gencove, Edico Genome, Agritech startups, Tropic Biosciences, Eurofins Genomics, GeneSeek, Bioinformatics firms.

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HTF Market Intelligence projects that the global Livestock Genomic AI market will expand at a compound annual growth rate (CAGR) of 19.6% from 2025 to 2033, from USD 3.4 Billion in 2025 to USD 14.8 Billion by 2033.

The following Key Segments Are Covered in Our Report

By Type
AI-driven breeding, Genomic testing, Disease prediction tools, Precision nutrition, Reproductive health AI

By Application
Cattle farming, Poultry, Swine, Aquaculture, Dairy industry

Definition: Livestock genomic AI integrates artificial intelligence with genomic science to improve livestock health, productivity, and sustainability. It enables farmers to predict disease, enhance breeding programs, and optimize nutrition through data-driven insights. Rising protein demand, food security concerns, and climate resilience are driving adoption. Despite challenges of cost, regulation, and farmer awareness, the technology opens opportunities for precision livestock farming, sustainable breeding, and improved global food supply chains.

Market Trends:
• AI precision farming, Disease-resilient breeds, Cloud-based livestock platforms, CRISPR integration, Genomic databases

Market Drivers:
• Rising protein demand, Animal health focus, AI adoption in farming, Government support, Genomic breakthroughs

Market Challenges:
• Ethical concerns, High costs, Limited farmer awareness, Data privacy, Regulatory approval

Dominating Region:
North America

Fastest-Growing Region:
Asia-Pacific

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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of Livestock Genomic AI market segments by Types: AI-driven breeding, Genomic testing, Disease prediction tools, Precision nutrition, Reproductive health AI

Detailed analysis of Livestock Genomic AI market segments by Applications: Cattle farming, Poultry, Swine, Aquaculture, Dairy industry

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

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Livestock Genomic AI Market Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.

FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)

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Points Covered in Table of Content of Global Livestock Genomic AI Market:
Chapter 01 - Livestock Genomic AI Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global Livestock Genomic AI Market - Pricing Analysis
Chapter 05 - Global Livestock Genomic AI Market Background or History
Chapter 06 - Global Livestock Genomic AI Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide Livestock Genomic AI Market
Chapter 08 - Global Livestock Genomic AI Market Structure & worth Analysis
Chapter 09 - Global Livestock Genomic AI Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - Livestock Genomic AI Market Research Methodology

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Nidhi Bhavsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
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sales@htfmarketreport.com

About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.

This release was published on openPR.