유전자 변형 작물용 농업 생명공학 시장 : 형질 유형, 작물 유형, 기술 플랫폼, 용도, 최종 사용자별 - 세계 시장 예측(2026-2032년)

The Agricultural Biotechnology for Transgenic Crops Market is projected to grow by USD 2.38 billion at a CAGR of 8.89% by 2032.

Executive Summary: Agricultural Biotechnology for Transgenic Crops

Agricultural biotechnology for transgenic crops has evolved from a productivity tool into a strategic pillar of food security, climate resilience, and farm profitability. Commercial genetically modified crops remain concentrated in soybean, maize, cotton, and canola, with herbicide tolerance, insect resistance, and stacked traits representing the most widely adopted trait categories.

Verified industry evidence confirms the scale of adoption: ISAAA reported 190.4 million hectares of biotech crops planted across 29 countries in 2019, driven largely by farmer demand for yield protection, weed and pest control, input efficiency, and operational flexibility. The industry is increasingly shaped by seed innovation, trait licensing, biosafety regulation, export acceptance, stewardship practices, and evidence-based communication that supports public and regulatory confidence.

Transformative Shifts in the Transgenic Crop Landscape

The transgenic crops landscape is shifting from single-trait seed products toward integrated platforms that combine stacked traits, advanced breeding, digital agronomy, precision crop protection, and sustainability-oriented farm management. Demand is increasingly linked to climate volatility, herbicide-resistant weeds, evolving insect pressure, soil and water constraints, and the need to improve productivity on limited arable land.

At the same time, regulatory divergence is reshaping commercialization strategy. North America and parts of Latin America generally support large-scale adoption through established biosafety frameworks, while the European Union remains restrictive on cultivation but dependent on imported biotech feed ingredients. Companies that align transgenic traits with resistance management, transparent safety data, sustainability claims, identity preservation, and market-access planning are better positioned to compete across export-sensitive agricultural value chains.

Cumulative Impact of Artificial Intelligence on Agricultural Biotechnology

Artificial intelligence is becoming a cumulative accelerator across agricultural biotechnology for transgenic crops. Machine learning supports gene-function discovery, trait prioritization, predictive breeding, high-throughput phenotyping, protein and pathway analysis, and environmental risk assessment by analyzing genomic, field, weather, soil, pest, and imagery datasets at scale.

AI does not replace regulated field trials, molecular characterization, compositional analysis, food and feed safety assessment, or biosafety review; it improves the speed and quality of decisions before those costly stages. The strongest opportunities are in trait discovery, regulatory dossier preparation, resistance forecasting, seed placement, agronomic recommendations, and post-commercial stewardship, provided organizations maintain data governance, model validation, cybersecurity, and explainability for regulators, growers, and supply chain partners.

Key Regional Insights Across Global Transgenic Crop Markets

Asia-Pacific is a mixed but high-potential region for transgenic crops, with China accelerating approvals for domestic biotech corn and soybean traits, India maintaining broad experience with Bt cotton, and Australia supporting commercial biotech cotton and canola under a science-based regulatory model. North America remains one of the most mature adoption regions, supported by established regulatory systems, advanced seed markets, strong extension networks, and high farmer familiarity with genetically modified corn, soybean, cotton, canola, and alfalfa.

Latin America is a major global adoption center, led by Brazil and Argentina, where biotech soybean, maize, and cotton are deeply integrated into export-oriented agriculture and conservation farming systems. Europe remains restrictive for cultivation, especially within the European Union, but continues to authorize and import biotech soybean meal and other feed ingredients used by livestock industries. The Middle East is primarily a food-security and import-reliant region with limited commercial cultivation, where biotechnology relevance is tied to supply assurance, arid-land agriculture, and resilient food systems. Africa remains uneven but strategically important, with South Africa commercializing GM maize, soybean, and cotton, while Nigeria, Kenya, Ethiopia, and other countries continue strengthening biosafety frameworks, local research capacity, and public-sector crop innovation.

Key Group Insights for Agricultural Biotechnology Adoption

ASEAN presents a fragmented but important opportunity for agricultural biotechnology, as the Philippines and Vietnam have established experience with biotech crop approvals, while several other member states remain cautious due to biodiversity protection, trade exposure, smallholder structures, and consumer-sentiment considerations. The GCC is less focused on broad transgenic crop cultivation and more focused on resilient food supply chains, import assurance, controlled-environment production, and technologies that can support food security under water scarcity and limited arable land.

The European Union continues to influence global compliance through stringent GMO authorization, labeling, traceability, coexistence, and risk assessment requirements, affecting exporters that supply feed, food, and crop-derived ingredients into European markets. BRICS is strategically significant because Brazil, China, India, Russia, and South Africa collectively shape demand, production policy, biosafety regulation, and trade flows across major crop systems, despite different positions on cultivation and import approvals. G7 countries concentrate advanced R&D, intellectual property, regulatory science, food safety assessment, and trade influence, while NATO members add relevance through secure seed supply chains, agricultural biosecurity, food resilience, and protection of critical agri-food infrastructure.

Key Country Insights Across Major Transgenic Crop Markets

The United States remains the benchmark for large-scale transgenic crop adoption, supported by long-standing commercialization of GM corn, soybean, cotton, canola, sugar beet, and alfalfa, while Canada has strong biotech canola, corn, and soybean systems backed by science-based assessment. Mexico is shaped by import dependence, corn policy debates, food-versus-feed distinctions, and biosafety scrutiny, while Brazil is one of the world's most important biotech crop producers, with large soybean, maize, and cotton acreage and an established approval framework.

In Europe, the United Kingdom is reassessing agricultural biotechnology policy after Brexit, with increasing attention to precision breeding and science-led regulation, while Germany, France, Italy, and Spain remain influenced by EU-level GMO rules, national cultivation positions, and consumer acceptance dynamics; Spain is notable for commercial cultivation of insect-resistant maize. Russia maintains restrictive positions on GMO cultivation and emphasizes domestic seed and food security objectives.

In Asia-Pacific, China is advancing domestic biotech seed commercialization for corn and soybean while continuing to manage import approvals for feed and processing needs. India remains led by Bt cotton, with broader food-crop biotechnology subject to regulatory and public debate. Japan and South Korea function primarily as major import approval and food safety assessment markets for biotech crop commodities, while Australia supports biotech cotton and canola through a science-based regulatory model and coexistence practices that support export-oriented agriculture.

Actionable Recommendations for Industry Leaders

Industry leaders should prioritize trait portfolios that address measurable farm problems, including herbicide-resistant weeds, insect pressure, drought exposure, yield stability, disease risk, and input efficiency. Commercial strategy should integrate elite seed genetics, transgenic traits, crop protection, digital agronomy, farmer training, and stewardship programs that delay resistance and strengthen grower trust.

Organizations should build regulatory intelligence early in product development, localize evidence for target markets, and maintain transparent communication on safety, sustainability, labeling, coexistence, and trade compatibility. Strategic partnerships with public research institutes, local seed developers, distributors, grower organizations, and AI technology providers can improve market access, reduce development risk, and support responsible deployment of biotech crop innovations.

Research Methodology

This executive summary is based on triangulated secondary research and industry validation using publicly available sources, including biosafety authorities, agricultural ministries, USDA resources, FAOSTAT, OECD materials, ISAAA adoption data, peer-reviewed literature, regulatory filings, trade documentation, and international food safety references. The analysis emphasizes verifiable adoption patterns, regulatory signals, technology trends, crop-trait commercialization status, and regional market behavior.

The methodology applies qualitative and quantitative screening across crop type, trait category, geography, regulatory readiness, commercialization status, trade exposure, stewardship requirements, and technology impact. Findings were assessed for consistency across multiple credible sources, with unsupported market sizing, market share, and forecasting claims excluded to maintain accuracy and relevance.

Conclusion

Agricultural biotechnology for transgenic crops remains a critical enabler of productivity, resilience, and crop protection, particularly in regions with established biosafety systems, farmer adoption experience, export-oriented agriculture, and science-based regulatory pathways. Momentum will be strongest where regulatory clarity, farmer demand, seed infrastructure, stewardship discipline, and trade acceptance converge.

The next competitive phase will be defined by stacked traits, AI-assisted discovery, precision stewardship, localized regulatory evidence, and transparent safety communication. Organizations that combine scientific credibility with disciplined commercialization and market-specific execution will be best positioned to create long-term value across the global transgenic crops ecosystem.

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. Agricultural Biotechnology for Transgenic Crops Market, by Trait Type

• 7.1. Drought Tolerance
• 7.2. Herbicide Tolerance
• 7.3. Insect Resistance
• 7.4. Disease-Resistant
• 7.5. Abiotic Stress-Tolerance
• 7.6. Quality Enhancement Trait

8. Agricultural Biotechnology for Transgenic Crops Market, by Crop Type

• 8.1. Cereal & Grains
• 8.2. Oilseeds
• 8.3. Fruits & Vegetables
• 8.4. Fiber Crops
• 8.5. Cash Crops

9. Agricultural Biotechnology for Transgenic Crops Market, by Technology Platform

• 9.1. CRISPR/Cas Genome Editing
• 9.2. RNA Interference (RNAi) Technology
• 9.3. Agrobacterium-Mediated Transformation
• 9.4. Gene Gun

10. Agricultural Biotechnology for Transgenic Crops Market, by Application

• 10.1. Biofuel
• 10.2. Food & Feed
• 10.3. Pharmaceutical
• 10.4. Processing

11. Agricultural Biotechnology for Transgenic Crops Market, by End User

• 11.1. Biotech Companies
• 11.2. Farmers
• 11.3. Government Bodies
• 11.4. Research Institutions
• 11.5. Seed Companies

12. Agricultural Biotechnology for Transgenic Crops Market, by Region

• 12.1. Asia-Pacific
• 12.2. North America
• 12.3. Latin America
• 12.4. Europe
• 12.5. Middle East
• 12.6. Africa

13. Agricultural Biotechnology for Transgenic Crops Market, by Group

• 13.1. ASEAN
• 13.2. GCC
• 13.3. European Union
• 13.4. BRICS
• 13.5. G7
• 13.6. NATO

14. Agricultural Biotechnology for Transgenic Crops Market, by Country

• 14.1. United States
• 14.2. Canada
• 14.3. Mexico
• 14.4. Brazil
• 14.5. United Kingdom
• 14.6. Germany
• 14.7. France
• 14.8. Russia
• 14.9. Italy
• 14.10. Spain
• 14.11. China
• 14.12. India
• 14.13. Japan
• 14.14. Australia
• 14.15. South Korea

15. Competitive Landscape

• 15.1. Market Concentration Analysis, 2025
  • 15.1.1. Concentration Ratio (CR)
  • 15.1.2. Herfindahl Hirschman Index (HHI)
• 15.2. Recent Developments & Impact Analysis, 2025
• 15.3. Product Portfolio Analysis, 2025
• 15.4. Benchmarking Analysis, 2025

16. Company Profiles

• 16.1. ADAMA Ltd
• 16.2. Agrinos AS
• 16.3. Andermatt Biocontrol AG
• 16.4. Arcadia Biosciences, Inc.
• 16.5. BASF SE
• 16.6. Bayer AG
• 16.7. Bioceres Crop Solutions Corp
• 16.8. Bioworks, Inc.
• 16.9. Calyxt Inc.
• 16.10. Certis USA LLC
• 16.11. CIBO Technologies, Inc.
• 16.12. Corteva, Inc.
• 16.13. Evogene Ltd
• 16.14. FMC Corporation
• 16.15. Groupe Limagrain
• 16.16. Indigo Ag, Inc.
• 16.17. J.R. Simplot Co.
• 16.18. JK Agri Genetics Ltd.
• 16.19. Koppert Biological Systems NV
• 16.20. KWS SAAT SE & Co. KGaA
• 16.21. Land O'Lakes, Inc.
• 16.22. Maharashtra Hybrid Seed Company
• 16.23. Marrone Bio Innovations, Inc.
• 16.24. Nufarm Limited
• 16.25. Nuseed Pty Ltd
• 16.26. Performance Plants Inc.
• 16.27. Pivot Bio, Inc.
• 16.28. Sakata Seed Corporation
• 16.29. Symbiomics S.A.
• 16.30. Syngenta AG
• 16.31. UPL Limited
• 16.32. Valent BioSciences LLC