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市場調查報告書
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1992569

基因改造食品市場：依作物類型、技術和加工程度分類－2026-2032年全球市場預測

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個工作天內

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預計到 2025 年，基因改造食品市場價值將達到 1,275.2 億美元，到 2026 年將成長到 1,365.1 億美元，到 2032 年將達到 2,177.3 億美元，複合年成長率為 7.94%。

主要市場統計數據
基準年 2025 1275.2億美元
預計年份：2026年 1365.1億美元
預測年份 2032 2177.3億美元
複合年成長率 (%) 7.94%

基因改造食品的策略性引入，受到科學創新、相關人員動態和管治因素的影響，這些因素塑造了引入路徑。

基因改造食品在現代農業中扮演著日益重要的角色，它將分子生物學的進步與產量穩定性、投入效率和營養強化等實際需求相結合。要理解這一領域，就需要檢視支撐性狀設計的科學基礎、促進市場准入的法律規範，以及最終決定基因改造食品推廣路徑的相關人員生態系統（包括農民、加工商、零售商、消費者和監管機構）。

新生物技術的突破以及不斷變化的監管和商業性動態正在從根本上重塑基因改造食品生態系統。

基因改造食品領域正經歷著一場變革，其驅動力包括生物技術的進步、消費者期望的不斷變化以及監管政策的重新評估。基因組編輯技術的突破從根本上改變了人們對技術可行性的科學認知，使研發人員能夠超越傳統的基因改造方法，轉向更精準的順式基因編輯和靶向編輯，從而模擬自然發生的突變。這導致研發進度和風險狀況的改變，因此需要重新評估開發平臺和商業化策略。

評估 2025 年美國關稅措施對基因改造食品貿易流量、供應鏈和策略投資決策的多方面累積影響。

2025年美國關稅措施的累積影響已對基因改造食品價值鏈中各營業單位的貿易、供應鏈韌性和商業策略等各個領域產生了切實的影響。關稅政策的變化改變了種子、性狀和加工材料等投入品的跨境經濟結構，促使進出口商重新評估籌資策略和合約條款。這反過來又影響了加工商和經銷商的採購計劃和庫存管理。

詳細的細分分析表明，作物特定需求和差異化的基因技術如何決定引進途徑、風險概況和策略研發重點。

細分市場分析揭示了不同作物類型和基因技術平台的推廣路徑和風險，突顯了技術適用性和商業性環境之間的相互作用。以菜籽、棉花、玉米、大豆和甜菜等作物觀點，性狀優先排序反映了具體的農業化學品和價值鏈條件。例如，在雜草和病蟲害問題嚴重的地區，抗除草劑和抗蟲性狀會推動技術的快速推廣；而對於與工業或營養用途密切相關的作物，品質和加工導向型性狀則日益受到關注。

對美洲、歐洲、中東、非洲和亞太地區的監管立場、商業化促進因素和相關人員優先事項進行區域比較分析。

區域趨勢對基因改造食品領域的政策方向、商業化進程以及相關人員的優先事項有顯著影響。在美洲，完善的種子體系、合約結構以及強勁的私部門研發投資，為法律規範和商業生態系統提供了支撐，這些都有助於快速推廣創新成果。這種環境促進了旨在提高產量穩定性和投入效率的性狀的規模化應用。

對決定基因改造食品產業公司發展軌跡和價值創造的競爭定位、夥伴關係生態系統和創新策略進行了深入分析。

基因改造食品產業的企業層面發展趨勢體現了獨特創新、策略夥伴關係以及新參與企業利用自身優勢的綜合作用。領先的生物技術和種子企業持續投資於性狀庫和平台技術，同時擴大透過外部合作來補充其內部能力，以加速候選性狀的檢驗和市場准入。與加工商和食品製造商的合作有助於使性狀開發與下游在功能和標籤方面的要求保持一致。

為產業領導者提供可操作且有影響力的策略建議，以最佳化其產品組合、增強相關人員的信任並建立具有韌性的商業化路徑。

產業領導者應負責任地掌握機遇，採取多管齊下的策略，平衡技術選擇、監管參與和供應鏈韌性。首先，企業必須優先精簡產品組合，將資源集中在能夠應對明確農業挑戰和下游加工需求的性狀，同時保持適應不斷變化的監管環境的柔軟性。這將有助於減少研發浪費，並將精力集中在商業化上。

採用透明、穩健的調查方法，結合專家訪談、文獻整合、檢驗和情境分析，以確保研究結果的可靠性。

本分析所依據的研究採用了一種多方面的方法，強調資料完整性、專家檢驗和基於情境的解讀。主要資訊來源包括對育種、監管和供應鏈管理領域專家的結構化訪談，以及公開的技術文獻和監管文件，以支持事實論點。二級資訊來源透過歷史案例和類似的政策框架來補充專業知識。

為基因改造食品生態系統中的相關人員提供簡明扼要的總結，重點介紹策略轉折點、持續存在的風險和可採取的行動的機會。

結論部分總結了本次分析中湧現的關鍵主題和策略意義。基因組編輯及相關技術的科學進步正在拓展性狀開發的工具箱，而監管差異和不斷變化的消費者期望則造就了複雜的市場結構。能夠將技術創新與切實可行的監管策略和穩健的供應鏈規劃相結合的公司，將更有利於將科學潛力轉化為永續的商業性成果。

目錄

第1章：序言

第2章：調查方法

  • 調查設計
  • 研究框架
  • 市場規模預測
  • 數據三角測量
  • 調查結果
  • 調查的前提
  • 研究限制

第3章執行摘要

  • 首席主管觀點
  • 市場規模和成長趨勢
  • 2025年市佔率分析
  • FPNV定位矩陣，2025
  • 新的商機
  • 下一代經營模式
  • 產業藍圖

第4章 市場概覽

  • 產業生態系與價值鏈分析
  • 波特五力分析
  • PESTEL 分析
  • 市場展望
  • 市場進入策略

第5章 市場洞察

  • 消費者洞察與終端用戶觀點
  • 消費者體驗基準
  • 機會映射
  • 分銷通路分析
  • 價格趨勢分析
  • 監理合規和標準框架
  • ESG與永續性分析
  • 中斷和風險情景
  • 投資報酬率和成本效益分析

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

第8章 基因改造食品市場：依作物類型分類

  • 菜籽
  • 棉布
  • 玉米
  • 大豆
  • 甜菜

第9章 基因改造食品市場：依技術分類

  • 順式基因
  • 基因組編輯
  • RNA干擾
  • 基因改造
    • 除草劑抗性
    • 抗蟲害
    • 複合性狀

第10章：依加工層級分類的基因改造食品市場

  • 生鮮食品
  • 加工食品
  • 動物飼料
  • 營養保健食品

第11章 基因改造食品市場：按地區分類

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第12章 基因改造食品市場：依類別分類

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

第13章 基因改造食品市場：依國家分類

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第14章：美國基因改造食品市場

第15章：中國基因改造食品市場

第16章 競爭格局

  • 市場集中度分析，2025年
    • 濃度比（CR）
    • 赫芬達爾-赫希曼指數 (HHI)
  • 近期趨勢及影響分析，2025 年
  • 2025年產品系列分析
  • 基準分析，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)