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市场调查报告书
商品编码
1992569

基因改造食品市场：依作物类型、技术和加工程度划分－2026-2032年全球市场预测

Genetically Modified Foods Market by Crop Type, Technology, By Level of Processing - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 197 Pages | 商品交期: 最快1-2个工作天内

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预计到 2025 年，基因改造食品市场价值将达到 1,275.2 亿美元，到 2026 年将成长到 1,365.1 亿美元，到 2032 年将达到 2,177.3 亿美元，复合年增长率为 7.94%。

主要市场统计数据
基准年 2025 1275.2亿美元
预计年份：2026年 1365.1亿美元
预测年份 2032 2177.3亿美元
复合年增长率 (%) 7.94%

基因改造食品的策略性引入，受到科学创新、相关人员动态和管治因素的影响，这些因素塑造了引入路径。

基因改造食品在现代农业中扮演着日益重要的角色，它将分子生物学的进步与产量稳定性、投入效率和营养强化等实际需求相结合。要理解这一领域，就需要检视支撑性状设计的科学基础、促进市场准入的法律规范，以及最终决定基因改造食品推广路径的相关人员生态系统（包括农民、加工商、零售商、消费者和监管机构）。

新生物技术的突破以及不断变化的监管和商业性动态正在从根本上重塑基因改造食品生态系统。

基因改造食品领域正经历着一场变革，其驱动力包括生物技术的进步、消费者期望的不断变化以及监管政策的重新评估。基因组编辑技术的突破从根本上改变了人们对技术可行性的科学认知，使研发人员能够超越传统的转基因方法，转向更精准的顺式基因编辑和靶向编辑，从而模拟自然发生的突变。这导致研发进度和风险状况的改变，因此需要重新评估开发平臺和商业化策略。

评估 2025 年美国关税措施对基因改造食品贸易流量、供应链和策略投资决策的多方面累积影响。

2025年美国关税措施的累积影响已对基因改造食品价值链中各营业单位的贸易、供应链韧性和商业策略等各个领域产生了切实的影响。关税政策的变化改变了种子、性状和加工材料等投入品的跨境经济结构，促使进出口商重新评估筹资策略和合约条款。这反过来又影响了加工商和经销商的采购计划和库存管理。

详细的細項分析表明，作物特定需求和差异化的基因技术如何决定引进途径、风险概况和策略研发重点。

细分市场分析揭示了不同作物类型和基因技术平台的推广路径和风险，突显了技术适用性和商业性环境之间的相互作用。以菜籽、棉花、玉米、大豆和甜菜等作物观点，性状优先排序反映了具体的农业化学品和价值链条件。例如，在杂草和病虫害问题严重的地区，抗除草剂和抗虫性状会推动技术的快速推广；而对于与工业或营养用途密切相关的作物，品质和加工导向型性状则日益受到关注。

对美洲、欧洲、中东、非洲和亚太地区的监管立场、商业化驱动因素和相关人员优先事项进行区域比较分析。

区域趋势对基因改造食品领域的政策方向、商业化进程以及相关人员的优先事项有显着影响。在美洲，完善的种子体系、合约结构以及强劲的私部门研发投资，为法律规范和商业生态系统提供了支撑，这些都有助于快速推广创新成果。这种环境促进了旨在提高产量稳定性和投入效率的性状的规模化应用。

对决定基因改造食品产业公司发展轨迹和价值创造的竞争定位、伙伴关係生态系统和创新策略进行了深入分析。

基因改造食品产业的企业层面发展趋势体现了独特创新、策略伙伴关係以及新参与企业利用自身优势的综合作用。领先的生物技术和种子企业持续投资于性状库和平台技术，同时越来越多地透过外部合作来补充其内部能力，以加速候选性状的检验和市场准入。与加工商和食品製造商的合作有助于使性状开发与下游在功能和标籤方面的要求保持一致。

为产业领导者提供可操作且有影响力的策略建议，以优化其产品组合、增强相关人员的信任并建立具有韧性的商业化路径。

产业领导者应负责任地掌握机会，采取多管齐下的策略，平衡技术选择、监管参与和供应链韧性。首先，企业必须优先精简产品组合，将资源集中在能够应对明确农业挑战和下游加工需求的性状，同时保持适应不断变化的监管环境的柔软性。这将有助于减少研发浪费，并将精力集中在商业化上。

采用透明、稳健的调查方法，结合专家访谈、文献整合、检验和情境分析，以确保研究结果的可靠性。

本分析所依据的研究采用了一种多方面的方法，强调资料完整性、专家检验和基于情境的解读。主要资讯来源包括对育种、监管和供应链管理领域专家的结构化访谈，以及公开的技术文献和监管文件，以支持事实论点。二级资讯来源透过历史案例和类似的政策框架来补充专业知识。

为基因改造食品生态系统中的相关人员提供简明扼要的总结，重点介绍策略转折点、持续存在的风险和可采取的行动的机会。

结论部分总结了本次分析中涌现的关键主题和策略意义。基因组编辑及相关技术的科学进步正在拓展性状开发的工具箱，而监管差异和不断变化的消费者期望则造就了复杂的市场结构。能够将技术创新与切实可行的监管策略和稳健的供应链规划相结合的公司，将更有利于将科学潜力转化为永续的商业性成果。

目录

第一章：序言

第二章：调查方法

  • 调查设计
  • 研究框架
  • 市场规模预测
  • 数据三角测量
  • 调查结果
  • 调查的前提
  • 研究限制

第三章执行摘要

  • 首席主管观点
  • 市场规模和成长趋势
  • 2025年市占率分析
  • FPNV定位矩阵，2025
  • 新的商机
  • 下一代经营模式
  • 产业蓝图

第四章 市场概览

  • 产业生态系与价值链分析
  • 波特五力分析
  • PESTEL 分析
  • 市场展望
  • 市场进入策略

第五章 市场洞察

  • 消费者洞察与终端用户观点
  • 消费者体验基准
  • 机会映射
  • 分销通路分析
  • 价格趋势分析
  • 监理合规和标准框架
  • ESG与永续性分析
  • 中断和风险情景
  • 投资报酬率和成本效益分析

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

第八章 基因改造食品市场：依作物类型划分

  • 菜籽
  • 棉布
  • 玉米
  • 大豆
  • 甜菜

第九章 基因改造食品市场：依技术划分

  • 顺式基因
  • 基因组编辑
  • RNA干扰
  • 基因改造
    • 除草剂抗性
    • 抗虫害
    • 复合性状

第十章：依加工层级分類的基因改造食品市场

  • 生鲜食品
  • 加工食品
  • 动物饲料
  • 营养保健食品

第十一章 基因改造食品市场：按地区划分

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十二章 基因改造食品市场：依类别划分

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第十三章 基因改造食品市场：依国家划分

  • 我们
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十四章：美国基因改造食品市场

第十五章：中国基因改造食品市场

第十六章 竞争格局

  • 市场集中度分析，2025年
    • 浓度比（CR）
    • 赫芬达尔-赫希曼指数 (HHI)
  • 近期趋势及影响分析，2025 年
  • 2025年产品系列分析
  • 基准分析，2025 年
  • "
  • "Agrivida, Inc. by Novus International
  • Advanta Seeds
  • Barenbrug Group
  • BASF SE
  • Bayer AG
  • Beijing DaBeiNong Biotechnology Co. Ltd.（DBNBC）
  • Bejo Zaden BV
  • Bioceres SA
  • Corteva Agriscience
  • DLF Seeds A/S
  • Fresh Del Monte Produce Incorporated
  • JR Simplot Co.
  • JK Agri Genetics Limited
  • KWS Saat SE & Co. KGaA
  • Limagrain Group
  • Louis Dreyfus Company
  • Mahyco Private Limited
  • Metahelix Life Sciences Ltd
  • Nath Bio-Genes（I）Ltd.
  • Rijk Zwaan Zaadteelt en Zaadhandel BV
  • Sakata Seed Corporation
  • Syngenta AG
  • Takii & Co., Ltd.
  • The Dow Chemical Company
  • Vilmorin & Cie SA
Product Code: MRR-4969A8FF9A61

The Genetically Modified Foods Market was valued at USD 127.52 billion in 2025 and is projected to grow to USD 136.51 billion in 2026, with a CAGR of 7.94%, reaching USD 217.73 billion by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 127.52 billion
Estimated Year [2026] USD 136.51 billion
Forecast Year [2032] USD 217.73 billion
CAGR (%) 7.94%

A strategic introduction to genetically modified foods that frames scientific innovation, stakeholder dynamics, and governance factors shaping adoption pathways

Genetically modified foods occupy an increasingly central role in contemporary agriculture, bridging advances in molecular biology with practical imperatives around yield resilience, input efficiency, and nutritional fortification. The introduction to this domain requires attention to the scientific foundations that enable trait design, the regulatory architecture that mediates market entry, and the ecosystem of stakeholders-farmers, processors, retailers, consumers, and regulators-whose decisions ultimately determine adoption trajectories.

Over recent years, public discourse has evolved from binary debates to more nuanced discussion about risk management, traceability, and value capture. Concurrently, scientific progress in precision breeding and gene editing has expanded the palette of achievable traits, shortening development cycles and enabling targeted interventions with reduced off-target effects. Translational pathways from lab to field now require integrated strategies that address biocontainment, regulatory dossiers, and supply chain validation.

Transitioning from scientific promise to commercial reality demands rigorous stakeholder engagement and adaptive governance. Firms must reconcile innovation speed with robust safety assessments, while policymakers balance trade policy, consumer protection, and agricultural competitiveness. Consequently, the introduction sets the stage for understanding not only what technologies are available, but how institutional and market arrangements shape their diffusion and long-term impact.

Emerging biotechnology breakthroughs and evolving regulatory and commercial dynamics that are fundamentally reshaping the genetically modified foods ecosystem

The landscape of genetically modified foods is undergoing transformative shifts driven by converging advances in biotechnology, evolving consumer expectations, and regulatory recalibration. Breakthroughs in genome editing have altered scientific assumptions about what is technically feasible, enabling developers to move beyond traditional transgenic approaches toward more precise cisgenic and targeted edits that mimic naturally occurring variation. As a result, development timelines and risk profiles have shifted, prompting reassessment of R&D pipelines and commercialization strategies.

Simultaneously, policy environments in several jurisdictions are adapting to these technological changes; some regulators are creating differentiated pathways for certain gene-edited products, while others emphasize transparency and traceability. In parallel, supply chain actors are placing greater emphasis on provenance and labeling, reflecting heightened consumer interest in product attributes and production practices. The result is an ecosystem where regulatory nuance and market signals interact to accelerate some technologies while constraining others.

Moreover, strategic partnerships between biotechnology firms, seed companies, and downstream food processors are becoming more integral, as they distribute the technical, regulatory, and commercial risks associated with bringing new traits to market. Taken together, these transformative shifts are reshaping investment priorities, altering competitive dynamics, and creating a more complex terrain for stakeholders to navigate.

Assessing the multifaceted cumulative consequences of United States tariff actions in 2025 on trade flows, supply chains, and strategic investment decisions in genetically modified foods

The cumulative effect of United States tariff measures in 2025 has introduced tangible shifts across trade, supply chain resilience, and commercial strategy for entities engaged in genetically modified food value chains. Tariff policy changes have altered cross-border economics for inputs such as seeds, traits, and processing materials, prompting exporters and importers to re-evaluate sourcing strategies and contractual terms. In turn, this has influenced procurement planning and inventory management across processors and distributors.

Trade policy adjustments have also increased the salience of nearshoring and regional diversification. Firms that previously relied on a small set of supplier geographies began exploring alternative sourcing corridors to reduce exposure to tariff-induced cost volatility. This reorientation has cascading effects on logistics, lead times, and certification regimes, and it requires stronger coordination among breeding programs, seed producers, and commercialization partners.

Additionally, tariff shifts have impacted investment calculus for research and development, particularly for traits and technologies that depend on international collaboration for field trials, germplasm exchange, or regulatory harmonization. Companies have responded by strengthening domestic capabilities, renegotiating licensing agreements, and intensifying regulatory engagement to mitigate compliance risk. As a consequence, operational plans have increasingly factored in trade policy scenarios when assessing product rollout timelines and partnership structures.

Detailed segmentation intelligence illustrating how crop-specific needs and differentiated genetic technologies determine adoption routes, risk profiles, and strategic R&D focus

Segmentation insights reveal differentiated pathways for adoption and risk across crop types and genetic technology platforms, underscoring how technical fit and commercial context interact. When viewed through crop type lenses such as canola, cotton, maize, soybean, and sugar beet, trait prioritization reflects distinct agronomic and value-chain conditions: for example, herbicide tolerance or insect resistance may drive rapid uptake where weed or pest pressure is acute, whereas quality or processing traits gain traction in crops tied closely to industrial or nutritional end-uses.

From a technology perspective, the field now spans cisgenic approaches, genome editing methodologies, RNA interference strategies, and classical transgenic platforms. Each presents distinct development profiles and regulatory considerations. Genome editing and cisgenic methods often offer precision and a perception of reduced regulatory burden in some jurisdictions, while RNA interference enables trait expression modulation without altering protein-coding sequences. Transgenic development remains central for complex trait stacking and for combining herbicide tolerant, insect resistant, and stacked traits into integrated packages that address multiple agronomic challenges simultaneously.

Consequently, commercial strategies must align trait development with crop economics and downstream processing requirements. Companies must also calibrate risk management and communications to reflect technology-specific evidence, as well as the differential regulatory treatments these technologies encounter across markets. In sum, segmentation informs targeted R&D investment and commercialization sequencing that optimizes technical feasibility and market receptivity.

Comparative regional analysis of regulatory stances, commercialization drivers, and stakeholder priorities across the Americas, Europe Middle East & Africa, and Asia-Pacific

Regional dynamics exert powerful influence over policy orientation, commercialization pacing, and stakeholder priorities across the genetically modified foods landscape. In the Americas, regulatory frameworks and commercial ecosystems generally favor rapid innovation diffusion, supported by well-established seed systems, contract structures, and robust private-sector research investments. This environment encourages scale-driven deployments of traits that address yield stability and input efficiency.

By contrast, Europe, Middle East & Africa present a more heterogeneous picture where precautionary principles, diverse regulatory regimes, and public sentiment vary significantly. In some European markets, regulatory conservatism and consumer preference for non-GM labeling constrain certain commercialization pathways, whereas parts of the Middle East and Africa prioritize traits that enhance climate resilience, drought tolerance, and nutritional enhancement to address food security objectives.

Asia-Pacific demonstrates dynamic contrasts as well, with several countries actively enabling biotechnology innovation while others retain restrictive approaches. Rapid agricultural modernization in portions of Asia drives demand for traits that improve input use efficiency and resilience, and regional trade agreements influence harmonization efforts. Across all regions, marketplace actors must navigate distinct regulatory timelines, certification requirements, and consumer expectations to achieve successful market entry and scale.

Insightful analysis of competitive positioning, partnership ecosystems, and innovation strategies that determine company trajectories and value capture in genetically modified foods

Company-level dynamics in genetically modified foods reflect a mix of proprietary innovation, strategic partnerships, and emerging entrants leveraging niche capabilities. Leading biotechnology and seed companies continue to invest in trait libraries and platform technologies, but they increasingly complement internal capabilities with external collaborations to accelerate candidate validation and market access. Alliances with processors and food manufacturers help align trait development with downstream requirements for functionality and labeling.

Smaller firms and specialized technology providers are differentiating through unique technical approaches-such as specific genome editing toolkits or RNA interference constructs-or by focusing on particular crop segments and geographies where regulatory pathways are clearer or where unmet agronomic needs are acute. These firms often act as innovation catalysts, with licensing or joint-venture strategies enabling larger players to integrate novel traits into broader commercialization pipelines.

Investor activity has shifted toward companies that demonstrate both regulatory savvy and supply chain integration capabilities. Firms that can articulate clear stewardship frameworks and traceability solutions tend to attract strategic partners and offtake agreements. Ultimately, company success hinges on the ability to blend scientific credibility with pragmatic commercialization plans that account for regulatory timelines, trade considerations, and end-user acceptance.

Actionable, high-impact strategic recommendations for industry leaders to optimize portfolios, strengthen stakeholder trust, and build resilient commercialization pathways

Industry leaders should adopt a multi-pronged strategy that balances technology choices, regulatory engagement, and supply chain resilience to capture opportunities responsibly. First, organizations must prioritize portfolio rationalization to focus resources on traits that address clear agronomic pain points and downstream processing requirements, while maintaining optionality to pivot as regulatory landscapes evolve. This reduces development churn and concentrates commercial efforts.

Second, proactive regulatory and stakeholder engagement is essential. Firms should invest in transparent safety dossiers, third-party validation, and consumer communications that clarify benefits and mitigation measures. Building trust through evidence-based outreach and stewardship programs will reduce adoption friction and enhance market access. Third, supply chain diversification and nearshoring strategies mitigate exposure to trade policy shifts and logistical bottlenecks; aligning procurement, production, and certification processes with alternative supplier networks will increase resilience.

Finally, industry players should pursue collaborative models that share technical risk while preserving upside potential-structured licensing, co-development agreements, and public-private partnerships can accelerate field validation and de-risk regulatory pathways. By combining focused R&D, stakeholder transparency, and adaptive commercial planning, leaders can navigate complexity and capture sustainable value.

Transparent and robust research methodology combining expert interviews, literature synthesis, triangulation practices, and scenario analysis to ensure credible insights

The research underpinning this analysis used a multi-method approach emphasizing data integrity, expert validation, and scenario-based interpretation. Primary inputs included structured interviews with subject-matter experts across breeding, regulatory, and supply chain disciplines, coupled with publicly available technical literature and regulatory filings to ground factual assertions. Secondary sources supplemented domain knowledge with historical precedent and comparative policy frameworks.

Analytical rigor was maintained through triangulation: independent data streams were cross-checked against expert perspectives to identify convergent themes and to flag areas of uncertainty. Scenario analysis was employed to explore plausible policy and trade permutations, enabling assessment of strategic sensitivity to tariff shifts and regulatory reclassifications. Quality control measures included peer review by domain specialists and iterative refinement of key assumptions to ensure internal consistency.

This methodology supports robust, actionable insights while acknowledging inherent uncertainties in rapidly evolving scientific, regulatory, and trade environments. Transparency about data provenance and analytic choices enables stakeholders to interpret findings within the appropriate context and to adapt recommendations as conditions change.

A concise concluding synthesis highlighting strategic inflection points, persistent risks, and actionable opportunity zones for stakeholders across the GM foods ecosystem

The conclusion synthesizes the principal themes and strategic implications emerging from the analysis. Scientific advances in genome editing and related approaches are expanding the toolkit for trait development, while regulatory divergence and evolving consumer expectations create a complex market topology. Firms that align technical innovation with pragmatic regulatory strategies and robust supply chain planning will be best positioned to convert scientific promise into durable commercial outcomes.

Trade and policy developments, including tariff actions, have underscored the importance of supply chain flexibility and regional diversification. At the same time, segmentation by crop type and technology continues to determine adoption pathways, requiring firms to tailor their approaches by crop economics and end-use requirements. Competitive dynamics favor organizations that combine technical excellence with strong stewardship, transparent communications, and collaborative commercial models.

In closing, stakeholders should treat the current period as one of strategic opportunity and heightened responsibility: the choices made today about technology selection, regulatory engagement, and partnership design will shape the long-term trajectory of genetically modified foods and their contribution to resilient, productive 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. Porter's Five Forces Analysis
  • 4.4. PESTLE Analysis
  • 4.5. Market Outlook
    • 4.5.1. Near-Term Market Outlook (0-2 Years)
    • 4.5.2. Medium-Term Market Outlook (3-5 Years)
    • 4.5.3. Long-Term Market Outlook (5-10 Years)
  • 4.6. 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 United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Genetically Modified Foods Market, by Crop Type

  • 8.1. Canola
  • 8.2. Cotton
  • 8.3. Maize
  • 8.4. Soybean
  • 8.5. Sugar Beet

9. Genetically Modified Foods Market, by Technology

  • 9.1. Cisgenic
  • 9.2. Genome Editing
  • 9.3. Rna Interference
  • 9.4. Transgenic
    • 9.4.1. Herbicide Tolerant
    • 9.4.2. Insect Resistant
    • 9.4.3. Stacked Traits

10. Genetically Modified Foods Market, by By Level of Processing

  • 10.1. Raw / Fresh Produce
  • 10.2. Packaged Foods
  • 10.3. Animal Feed
  • 10.4. Nutraceutical Foods

11. Genetically Modified Foods Market, by Region

  • 11.1. Americas
    • 11.1.1. North America
    • 11.1.2. Latin America
  • 11.2. Europe, Middle East & Africa
    • 11.2.1. Europe
    • 11.2.2. Middle East
    • 11.2.3. Africa
  • 11.3. Asia-Pacific

12. Genetically Modified Foods Market, by Group

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

13. Genetically Modified Foods 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. United States Genetically Modified Foods Market

15. China Genetically Modified Foods Market

16. Competitive Landscape

  • 16.1. Market Concentration Analysis, 2025
    • 16.1.1. Concentration Ratio (CR)
    • 16.1.2. Herfindahl Hirschman Index (HHI)
  • 16.2. Recent Developments & Impact Analysis, 2025
  • 16.3. Product Portfolio Analysis, 2025
  • 16.4. Benchmarking Analysis, 2025
  • 16.5. "
  • 16.6. "Agrivida, Inc. by Novus International
  • 16.7. Advanta Seeds
  • 16.8. Barenbrug Group
  • 16.9. BASF SE
  • 16.10. Bayer AG
  • 16.11. Beijing DaBeiNong Biotechnology Co. Ltd. (DBNBC)
  • 16.12. Bejo Zaden B.V.
  • 16.13. Bioceres S.A.
  • 16.14. Corteva Agriscience
  • 16.15. DLF Seeds A/S
  • 16.16. Fresh Del Monte Produce Incorporated
  • 16.17. J.R. Simplot Co.
  • 16.18. JK Agri Genetics Limited
  • 16.19. KWS Saat SE & Co. KGaA
  • 16.20. Limagrain Group
  • 16.21. Louis Dreyfus Company
  • 16.22. Mahyco Private Limited
  • 16.23. Metahelix Life Sciences Ltd
  • 16.24. Nath Bio-Genes (I) Ltd.
  • 16.25. Rijk Zwaan Zaadteelt en Zaadhandel B.V.
  • 16.26. Sakata Seed Corporation
  • 16.27. Syngenta AG
  • 16.28. Takii & Co., Ltd.
  • 16.29. The Dow Chemical Company
  • 16.30. Vilmorin & Cie SA

LIST OF FIGURES

  • FIGURE 1. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL GENETICALLY MODIFIED FOODS MARKET SHARE, BY KEY PLAYER, 2025
  • FIGURE 3. GLOBAL GENETICALLY MODIFIED FOODS MARKET, FPNV POSITIONING MATRIX, 2025
  • FIGURE 4. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 5. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 7. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 9. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 10. UNITED STATES GENETICALLY MODIFIED FOODS MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 11. CHINA GENETICALLY MODIFIED FOODS MARKET SIZE, 2018-2032 (USD MILLION)

LIST OF TABLES

  • TABLE 1. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 2. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CANOLA, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CANOLA, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CANOLA, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY COTTON, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY COTTON, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY COTTON, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY MAIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY MAIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY MAIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY SOYBEAN, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY SOYBEAN, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY SOYBEAN, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY SUGAR BEET, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY SUGAR BEET, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY SUGAR BEET, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CISGENIC, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CISGENIC, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY CISGENIC, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY GENOME EDITING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY GENOME EDITING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY GENOME EDITING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY RNA INTERFERENCE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY RNA INTERFERENCE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY RNA INTERFERENCE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY HERBICIDE TOLERANT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 33. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY HERBICIDE TOLERANT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 34. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY HERBICIDE TOLERANT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 35. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY INSECT RESISTANT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 36. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY INSECT RESISTANT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 37. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY INSECT RESISTANT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 38. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY STACKED TRAITS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 39. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY STACKED TRAITS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 40. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY STACKED TRAITS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 41. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 42. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY RAW / FRESH PRODUCE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 43. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY RAW / FRESH PRODUCE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 44. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY RAW / FRESH PRODUCE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 45. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY PACKAGED FOODS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 46. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY PACKAGED FOODS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 47. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY PACKAGED FOODS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 48. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY ANIMAL FEED, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 49. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY ANIMAL FEED, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 50. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY ANIMAL FEED, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 51. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY NUTRACEUTICAL FOODS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 52. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY NUTRACEUTICAL FOODS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 53. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY NUTRACEUTICAL FOODS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 54. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 55. AMERICAS GENETICALLY MODIFIED FOODS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 56. AMERICAS GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 57. AMERICAS GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 58. AMERICAS GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 59. AMERICAS GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 60. NORTH AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 61. NORTH AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 62. NORTH AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 63. NORTH AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 64. NORTH AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 65. LATIN AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 66. LATIN AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 67. LATIN AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 68. LATIN AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 69. LATIN AMERICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 70. EUROPE, MIDDLE EAST & AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 71. EUROPE, MIDDLE EAST & AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 72. EUROPE, MIDDLE EAST & AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 73. EUROPE, MIDDLE EAST & AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 74. EUROPE, MIDDLE EAST & AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 75. EUROPE GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 76. EUROPE GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 77. EUROPE GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 78. EUROPE GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 79. EUROPE GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 80. MIDDLE EAST GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 81. MIDDLE EAST GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 82. MIDDLE EAST GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 83. MIDDLE EAST GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 84. MIDDLE EAST GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 85. AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 86. AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 87. AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 88. AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 89. AFRICA GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 90. ASIA-PACIFIC GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 91. ASIA-PACIFIC GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 92. ASIA-PACIFIC GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 93. ASIA-PACIFIC GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 94. ASIA-PACIFIC GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 95. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 96. ASEAN GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 97. ASEAN GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 98. ASEAN GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 99. ASEAN GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 100. ASEAN GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 101. GCC GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 102. GCC GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 103. GCC GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 104. GCC GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 105. GCC GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 106. EUROPEAN UNION GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 107. EUROPEAN UNION GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 108. EUROPEAN UNION GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 109. EUROPEAN UNION GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 110. EUROPEAN UNION GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 111. BRICS GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 112. BRICS GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 113. BRICS GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 114. BRICS GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 115. BRICS GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 116. G7 GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 117. G7 GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 118. G7 GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 119. G7 GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 120. G7 GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 121. NATO GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 122. NATO GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 123. NATO GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 124. NATO GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 125. NATO GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 126. GLOBAL GENETICALLY MODIFIED FOODS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 127. UNITED STATES GENETICALLY MODIFIED FOODS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 128. UNITED STATES GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 129. UNITED STATES GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 130. UNITED STATES GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 131. UNITED STATES GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 132. CHINA GENETICALLY MODIFIED FOODS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 133. CHINA GENETICALLY MODIFIED FOODS MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 134. CHINA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 135. CHINA GENETICALLY MODIFIED FOODS MARKET SIZE, BY TRANSGENIC, 2018-2032 (USD MILLION)
  • TABLE 136. CHINA GENETICALLY MODIFIED FOODS MARKET SIZE, BY BY LEVEL OF PROCESSING, 2018-2032 (USD MILLION)