동물 유전학 시장 : 기술별, 동물 유형별, 용도별, 최종 사용자별 - 세계 시장 예측(2026-2032년)

The Animal Genetics Market is projected to grow by USD 15.88 billion at a CAGR of 10.59% by 2032.

Animal Genetics Executive Summary

Animal genetics is moving from a specialized breeding discipline into a core infrastructure layer for food security, veterinary health, conservation, and precision livestock production. The field combines genetic testing, genomic selection, marker-assisted breeding, embryo technologies, artificial insemination, and bioinformatics to improve productivity, disease resilience, fertility, feed efficiency, and animal welfare across cattle, swine, poultry, aquaculture, companion animals, and specialty species.

Demand is being shaped by measurable global pressures. The United Nations projects the world population will approach 9.7 billion by 2050, while the FAO identifies livestock as a major contributor to agricultural value and rural livelihoods, supporting food, income, traction, manure, and assets for hundreds of millions of households. These fundamentals are increasing the strategic importance of animal genomics, livestock breeding programs, and DNA-based trait selection as producers seek more output with lower environmental intensity.

Transformative Shifts in Animal Genetics

The animal genetics landscape is shifting from phenotype-led selection toward genomic prediction, data-integrated breeding, and reproductive precision. Single nucleotide polymorphism genotyping, whole-genome sequencing, and genomic estimated breeding values are helping breeders identify desirable traits earlier in the animal lifecycle, reducing generation intervals and improving selection accuracy.

A second shift is the convergence of genetics with sustainability and animal health. Producers are increasingly evaluating traits linked to methane intensity, heat tolerance, disease resistance, survivability, fertility, longevity, and feed conversion. Regulatory scrutiny, consumer expectations for responsible animal protein, and the economics of herd efficiency are all pushing genetic improvement programs toward measurable, welfare-aligned outcomes.

Cumulative Impact of Artificial Intelligence

Artificial intelligence is compounding the impact of animal genetics by accelerating pattern recognition across genomic, phenotypic, pedigree, health, reproduction, and environmental datasets. Machine learning models are increasingly used to improve genomic prediction, detect complex trait associations, optimize mating decisions, flag inbreeding risk, and identify animals with higher lifetime productivity potential.

The cumulative effect is a faster, more evidence-based breeding cycle. AI-enabled analytics can integrate sensor data, milk records, feed intake, fertility history, climate exposure, and disease events with genomic information, supporting precision breeding decisions at herd and population levels. The strongest gains are expected where data quality, traceability, and standardized phenotyping are already mature, and where models are validated against real production outcomes.

Key Regional Insights

Asia-Pacific is a high-growth center for animal genetics because of rising animal protein demand, large livestock inventories, and modernization of dairy, pork, poultry, and aquaculture systems. China, India, Japan, South Korea, and Australia are investing in genomic selection, disease surveillance, reproductive technologies, and breed improvement to balance productivity with biosecurity and climate resilience. The region's diversity makes locally validated genetics essential, as intensive farms, smallholder dairy systems, tropical production environments, and advanced export-oriented livestock sectors require different breeding priorities.

North America remains one of the most advanced regions for commercial livestock genomics, supported by established dairy and beef genetic evaluation systems, strong breeding infrastructure, university research networks, and high adoption of artificial insemination and genomic testing. Latin America, led by Brazil and Mexico, is expanding genetics adoption to improve tropical adaptation, beef productivity, pasture performance, disease resilience, and export competitiveness, with Bos indicus and crossbred systems playing a central role in heat-tolerant cattle improvement.

Europe is characterized by rigorous animal welfare, traceability, sustainability, antimicrobial stewardship, and data governance standards that influence breeding priorities across dairy, swine, poultry, aquaculture, and companion animal genetics. The Middle East is prioritizing food security, camel and small ruminant genetics, dairy productivity, and controlled-environment livestock systems that can operate under heat and water constraints. Africa presents long-term opportunity through climate-adapted indigenous breeds, disease tolerance, reproductive efficiency, and productivity improvement programs aligned with smallholder agriculture, pastoral systems, and national food security strategies.

Key Group Insights

ASEAN markets are advancing animal genetics through poultry, swine, aquaculture, and dairy modernization, with disease management, reproductive efficiency, and feed conversion as central priorities. The group's exposure to transboundary animal diseases and humid tropical production conditions increases the importance of biosecurity-linked breeding, locally adapted genetics, and resilient supply chains. The GCC is using genetics within broader food security strategies, especially for dairy, camel, sheep, and goat systems that must operate under heat stress, limited water availability, and controlled feeding environments.

The European Union shapes global best practices through its regulatory focus on animal health, welfare, sustainability, traceability, and responsible data use, encouraging evidence-based breeding and transparent genomic evaluation. BRICS economies carry major influence because they include large livestock populations, fast-growing protein demand, and significant agricultural research capacity across Brazil, Russia, India, China, and South Africa, where breeding programs increasingly address productivity, self-sufficiency, disease control, and climate adaptation.

G7 markets lead in high-value genomic tools, advanced breeding analytics, veterinary research, and intellectual property development, with strong institutional capacity for validating complex traits such as fertility, longevity, animal welfare, and emissions efficiency. NATO-aligned countries overlap with many advanced animal health, biosecurity, and research ecosystems, supporting cross-border collaboration in disease surveillance, veterinary science, and food system resilience. Across these groups, the most successful animal genetics strategies are those that connect genetic gain with measurable productivity, resilience, traceability, and health outcomes.

Key Country Insights

The United States is a global leader in dairy and beef genomics, supported by established genetic evaluations, large-scale performance recording, reproductive technologies, and research institutions. Canada emphasizes dairy genetics, animal health, sustainability, and traceable production systems, while Mexico is strengthening cattle, swine, and poultry genetics to improve productivity, disease preparedness, and supply chain resilience across both commercial and regional production systems.

Brazil is central to global beef genetics and tropical breed improvement, with strong relevance for heat tolerance, parasite resistance, reproductive performance, and pasture-based production. The United Kingdom, Germany, France, Italy, and Spain contribute advanced breeding science, veterinary infrastructure, animal welfare standards, and EU-aligned traceability practices across dairy, swine, poultry, aquaculture, and companion animal genetics, while Russia remains important due to its livestock scale, food security priorities, and need for domestic breed improvement.

China is a major demand center for swine, poultry, dairy, beef, and aquaculture genetics, with biosecurity, productivity, and self-sufficiency priorities influencing investment in breeding and genomic evaluation. India's large bovine population makes dairy genetics, fertility, heat tolerance, disease resilience, and smallholder accessibility critical, particularly across buffalo and indigenous cattle systems. Japan and South Korea focus on premium livestock quality, traceability, advanced herd management, and precision breeding, while Australia is a leader in pasture-based beef, sheep, wool, and dairy genetics adapted to variable climate conditions, extensive grazing, and export-oriented quality requirements.

Actionable Recommendations for Industry Leaders

Industry leaders should prioritize integrated genomic data platforms that connect DNA testing, phenotypes, reproductive records, health events, pedigree information, production metrics, and environmental exposure. Strong data governance, standardized trait recording, cybersecure infrastructure, and interoperable systems are essential to improving genomic prediction accuracy and monetizing genetic value.

Organizations should expand trait portfolios beyond yield to include fertility, longevity, disease resistance, heat tolerance, methane efficiency, feed efficiency, welfare indicators, product quality, and robustness under local production conditions. Partnerships with universities, veterinary networks, producer organizations, public research bodies, and AI specialists can accelerate validation while reducing adoption risk.

Leaders should also localize breeding programs for regional production realities. Genetics that performs well in temperate, high-input systems may not deliver the same value in tropical, smallholder, arid, or pasture-based environments, making genotype-by-environment evaluation a strategic requirement. Transparent communication of breeding values, welfare outcomes, and sustainability benefits can strengthen producer adoption and consumer trust.

Research Methodology

This executive summary is based on secondary research from authoritative public sources, including FAO, WOAH, USDA, national statistical agencies, peer-reviewed animal genetics literature, university extension resources, and industry-recognized breeding and genomic evaluation frameworks. The analysis synthesizes evidence on livestock production systems, genomic technologies, reproductive tools, animal health, sustainability, biosecurity, and regional adoption dynamics.

Research inputs were evaluated for credibility, recency, relevance, and consistency across multiple sources. Market interpretation emphasizes verified structural drivers and technology trends rather than unsupported projections, with conclusions grounded in observable adoption patterns, documented scientific progress in animal genomics and breeding, and publicly available evidence on livestock production and animal health priorities.

Conclusion

Animal genetics is becoming a decisive enabler of resilient, productive, and sustainable animal agriculture. Genomic selection, reproductive technologies, and AI-enabled analytics are improving the ability to select animals for complex traits that support profitability, animal welfare, climate resilience, and environmental performance.

The strongest opportunities will emerge where breeding organizations, producers, veterinarians, policymakers, and technology providers align around trusted data, validated traits, region-specific genetic improvement strategies, and responsible use of genomic information. As protein demand, climate pressure, and biosecurity risks intensify, animal genetics will remain central to the future of global food systems.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. Market Share Analysis, 2025
• 3.5. FPNV Positioning Matrix, 2025
• 3.6. New Revenue Opportunities
• 3.7. Next-Generation Business Models
• 3.8. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Animal Genetics Market, by Technology

• 7.1. Cloning
• 7.2. Gene Editing
  • 7.2.1. CRISPR/Cas9
  • 7.2.2. TALEN
  • 7.2.3. ZFN
• 7.3. Genomic Selection
• 7.4. Marker Assisted Selection

8. Animal Genetics Market, by Animal Type

• 8.1. Aquaculture
• 8.2. Cattle
  • 8.2.1. Beef Cattle
  • 8.2.2. Dairy Cattle
• 8.3. Poultry
• 8.4. Swine

9. Animal Genetics Market, by Application

• 9.1. Disease Resistance
• 9.2. Feed Efficiency
• 9.3. Fertility
• 9.4. Growth Rate
• 9.5. Milk Production

10. Animal Genetics Market, by End User

• 10.1. Academic Institutes
• 10.2. Commercial Breeders
• 10.3. Government Agencies
• 10.4. Pharmaceutical Companies
• 10.5. Research Institutes

11. Animal Genetics Market, by Region

• 11.1. Asia-Pacific
• 11.2. North America
• 11.3. Latin America
• 11.4. Europe
• 11.5. Middle East
• 11.6. Africa

12. Animal Genetics Market, by Group

• 12.1. ASEAN
• 12.2. GCC
• 12.3. European Union
• 12.4. BRICS
• 12.5. G7
• 12.6. NATO

13. Animal Genetics Market, by Country

• 13.1. United States
• 13.2. Canada
• 13.3. Mexico
• 13.4. Brazil
• 13.5. United Kingdom
• 13.6. Germany
• 13.7. France
• 13.8. Russia
• 13.9. Italy
• 13.10. Spain
• 13.11. China
• 13.12. India
• 13.13. Japan
• 13.14. Australia
• 13.15. South Korea

14. Competitive Landscape

• 14.1. Market Concentration Analysis, 2025
  • 14.1.1. Concentration Ratio (CR)
  • 14.1.2. Herfindahl Hirschman Index (HHI)
• 14.2. Recent Developments & Impact Analysis, 2025
• 14.3. Product Portfolio Analysis, 2025
• 14.4. Benchmarking Analysis, 2025

15. Company Profiles

• 15.1. ABS Global, Inc.
• 15.2. Alta Genetics Inc.
• 15.3. Animal Genetics, Inc.
• 15.4. Aviagen Group
• 15.5. Cobb-Vantress, Inc.
• 15.6. CRV Holding B.V.
• 15.7. DanBred P/S
• 15.8. EasyDNA Global DNA Testing Services
• 15.9. Embark Veterinary, Inc.
• 15.10. EW Group GmbH
• 15.11. Genex Cooperative, Inc.
• 15.12. Genus plc
• 15.13. Groupe Grimaud La Corbiere S.A.
• 15.14. Hendrix Genetics Aquaculture B.V.
• 15.15. Hendrix Genetics B.V.
• 15.16. Neogen Corporation
• 15.17. Orivet Genetic Pet Care Ltd.
• 15.18. Select Sires Inc.
• 15.19. Semex Alliance
• 15.20. STgenetics LLC
• 15.21. Topigs Norsvin B.V.
• 15.22. URUS Group L.P.
• 15.23. VetGen LLC
• 15.24. Zoetis Inc.