식물 유전체학 시장 : 기술별, 구성 요소별, 작물 유형별, 샘플 유형별, 육종 시스템별, 용도별, 최종 사용자별 - 세계 시장 예측(2026-2032년)

The Plant Genomics Market is projected to grow by USD 23.09 billion at a CAGR of 9.49% by 2032.

Plant Genomics Executive Summary

Plant genomics is moving from a research-led discipline into a core engine of agricultural competitiveness, food security, and climate-resilient crop development. Advances in next-generation sequencing, genome-wide association studies, pan-genomics, transcriptomics, epigenomics, metagenomics, and high-throughput genotyping are enabling breeders, biotechnology developers, seed producers, and public research institutions to identify yield, disease resistance, nutritional quality, and abiotic stress-tolerance traits with greater speed and precision.

The plant genomics landscape is being shaped by durable demand drivers: rising food demand, climate volatility, soil and water constraints, biodiversity loss, and the need to reduce crop losses from pests and pathogens. Verified public-sector initiatives, including national genome programs, CGIAR crop research, USDA and EU-funded agricultural genomics projects, and large-scale sequencing repositories such as NCBI GenBank, the European Nucleotide Archive, and the DNA Data Bank of Japan, continue to expand genomic resources for staple crops, specialty crops, and orphan crops. As a result, plant genomics is becoming a strategic platform for precision breeding, sustainable agriculture, seed innovation, and bioeconomy growth.

Transformative Shifts in the Plant Genomics Landscape

The plant genomics landscape is being transformed by the convergence of lower sequencing costs, improved reference genomes, cloud-based bioinformatics, high-throughput phenotyping, and genome editing technologies such as CRISPR-Cas systems. The shift from single-reference genomes to pan-genomes is especially important because it captures genetic diversity across varieties, landraces, and wild relatives, helping breeders discover traits that may be absent from elite commercial lines.

Another major shift is the movement from phenotype-led breeding to data-integrated, genotype-informed breeding. Marker-assisted selection, genomic selection, transcriptome profiling, and multi-omics integration are shortening breeding cycles and improving the probability of selecting desirable traits before field maturity. At the same time, regulatory divergence around gene-edited crops is influencing commercialization pathways, with some countries distinguishing gene editing from transgenic modification while others apply stricter biotechnology oversight. This creates a sector in which scientific capability, regulatory readiness, data interoperability, and public trust are equally decisive.

Cumulative Impact of Artificial Intelligence on Plant Genomics

Artificial intelligence is amplifying the value of plant genomics by improving the interpretation of complex, high-dimensional biological data. Machine learning models are increasingly used to connect genotype, phenotype, environment, and management data, supporting trait prediction, genomic selection, disease surveillance, gene function discovery, and crop performance modeling. AI also strengthens image-based phenotyping, where drone, satellite, greenhouse, and field sensor data can be linked with genomic datasets to identify stress responses and growth patterns at scale.

The cumulative impact of AI is most visible in decision speed, breeding accuracy, and research productivity. AI-enabled bioinformatics can accelerate sequence alignment, variant calling, genome assembly, gene annotation, protein structure prediction, pathway analysis, and candidate gene prioritization. For industry vendors, the competitive advantage lies not only in adopting AI tools but also in building reliable training datasets, FAIR-aligned data systems, reproducible workflows, and governance frameworks that protect genetic resources, farmer data, and intellectual property.

Key Regional Insights for Plant Genomics

Asia-Pacific is a pivotal region for plant genomics because of its large agricultural base, strong public research capacity, and the need to improve productivity across rice, wheat, maize, pulses, oilseeds, fruits, and vegetables. China, India, Japan, South Korea, and Australia are investing in crop genome sequencing, molecular breeding, genome editing research, and climate-resilient agriculture, while regional biodiversity provides a broad foundation for trait discovery in both major crops and underutilized species.

North America remains a leading hub for commercial plant genomics, supported by mature seed systems, advanced biotechnology infrastructure, high adoption of precision agriculture, extensive land-grant and public research networks, and strong university-industry collaboration. Latin America is gaining strategic importance through soybean, maize, sugarcane, coffee, cacao, fruits, and tropical crop improvement, particularly as Brazil and Mexico expand agricultural biotechnology capabilities and leverage rich crop genetic diversity.

Europe is defined by strong genomics research, sustainability targets, plant science networks, and evolving policy discussions around new genomic techniques, with applications focused on reduced-input agriculture, crop resilience, and food system sustainability. The Middle East is applying plant genomics to water scarcity, salinity tolerance, heat stress, controlled-environment agriculture, and food security strategies. Africa represents a critical frontier, where genomics can support cassava, sorghum, millet, maize, cowpea, yam, teff, and other climate-resilient crops, especially when paired with local breeding networks, gene banks, capacity building, and equitable access models.

Key Group Insights Across Strategic Economic Blocs

ASEAN countries are increasingly relevant to plant genomics because of their role in rice, palm, rubber, tropical fruit, spices, and aquaculture-linked agricultural systems, with genomics supporting yield stability, disease resistance, and climate adaptation under humid tropical conditions. The GCC is prioritizing genomics for food security, desert agriculture, salinity tolerance, heat resilience, protected cultivation, and controlled-environment crop production, reflecting the region's dependence on imports, limited freshwater, and constrained arable land.

The European Union brings strong research funding, cross-border scientific collaboration, data governance frameworks, and sustainability-driven agricultural policy to plant genomics, particularly through programs focused on biodiversity, climate adaptation, and reduced chemical input use. BRICS countries are influential because they combine large populations, major crop production systems, biodiversity, and growing biotechnology capacity across cereals, oilseeds, pulses, horticulture, and industrial crops.

The G7 continues to shape research standards, biosafety practices, intellectual property norms, digital agriculture adoption, and commercialization pathways for genomics-enabled crop innovation. NATO countries indirectly influence the sector through biosecurity, supply chain resilience, critical technology cooperation, and food system preparedness, reinforcing the role of plant genomics in agricultural resilience and strategic security.

Key Country Insights in Plant Genomics

The United States leads in commercial seed innovation, crop biotechnology, genome editing research, advanced phenotyping, and private-sector investment, while Canada is strong in canola, wheat, pulses, barley, and cold-climate crop genomics supported by established public breeding and research systems. Mexico is strategically important for maize diversity, crop genetic resources, and agrobiodiversity conservation, while Brazil is a major center for soybean, sugarcane, coffee, citrus, maize, and tropical agriculture genomics, supported by extensive agricultural research capacity.

In Europe, the United Kingdom, Germany, France, Italy, and Spain contribute advanced plant science, breeding programs, bioinformatics capabilities, gene bank resources, and genomics infrastructure across cereals, oilseeds, horticulture, grapevine, and Mediterranean crops. Russia's role is tied to wheat, barley, sunflower, potato, and cold-region crop improvement, with strategic relevance in cereal genetics and stress adaptation. China is a global force in genome sequencing, rice research, hybrid breeding, wheat improvement, soybean research, and agricultural biotechnology, while India is expanding genomics for rice, wheat, pulses, cotton, millets, oilseeds, and climate-resilient smallholder agriculture.

Japan and South Korea bring strengths in precision breeding, controlled-environment systems, bioinformatics, gene editing research, and high-value crops, including rice, vegetables, fruits, and specialty horticulture. Australia is highly relevant for drought tolerance, wheat, barley, pulses, oilseeds, pasture crops, and genomics for dryland farming, making it a key contributor to climate-adapted crop innovation and resilient agricultural systems.

Actionable Recommendations for Industry Leaders

Industry vendors should prioritize integrated genomics platforms that connect sequencing, phenotyping, field trial, environmental, agronomic, and commercial performance data. Building interoperable data architecture is essential for scaling genomic selection, AI-enabled breeding, and decision support across crops, traits, and geographies.

Organizations should invest in pan-genome resources, trait discovery partnerships, and climate-resilience pipelines focused on drought, heat, flooding, salinity, nutrient-use efficiency, pest resistance, and disease resistance. They should also strengthen regulatory intelligence for gene-edited crops, because market access depends on country-specific rules, traceability requirements, biosafety expectations, and consumer acceptance.

Strategic partnerships with universities, public breeding programs, gene banks, farmer organizations, and regional agricultural institutes can reduce discovery risk and improve access to diverse germplasm. Vendors should also establish clear intellectual property, access and benefit-sharing, biosafety, cybersecurity, and data governance policies to protect innovation while supporting responsible use of genetic resources.

Research Methodology

This executive summary is developed using a triangulated research approach that synthesizes peer-reviewed plant science literature, public genomic databases, regulatory sources, agricultural research programs, patent activity, institutional disclosures, and recognized data from organizations such as FAO, OECD, USDA, CGIAR, national research councils, regional policy bodies, and international sequence repositories.

The methodology emphasizes verified, data-backed insights across technology adoption, regional research capacity, crop priorities, regulatory developments, sustainability initiatives, and commercialization trends. Qualitative analysis is combined with signal assessment, including funding patterns, sequencing infrastructure, breeding pipeline activity, scientific publication trends, germplasm initiatives, and adoption of AI-enabled bioinformatics and precision breeding tools.

Conclusion

Plant genomics is becoming a foundational technology for resilient agriculture, sustainable food production, and next-generation crop improvement. The sector is benefiting from rapid advances in sequencing, bioinformatics, AI, phenotyping, pan-genomics, and genome editing, while global demand for higher productivity and climate adaptation is reinforcing long-term investment in genomics-enabled breeding.

Organizations that combine scientific excellence with strong data infrastructure, regulatory readiness, responsible innovation practices, and access to diverse germplasm will be best positioned to lead. As plant genomics continues to shape seed development, trait discovery, precision breeding, and climate-resilient agriculture, it will remain central to the future of agricultural productivity and food security.

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. Plant Genomics Market, by Technology

• 7.1. Gene Editing
• 7.2. Polymerase Chain Reaction
• 7.3. Sequencing
  • 7.3.1. Next Generation Sequencing
  • 7.3.2. Sanger Sequencing
  • 7.3.3. Third Generation Sequencing

8. Plant Genomics Market, by Component

• 8.1. Instruments
• 8.2. Reagents & Consumables
• 8.3. Services
• 8.4. Software

9. Plant Genomics Market, by Crop Type

• 9.1. Cereals & Grains
• 9.2. Oilseeds & Pulses
• 9.3. Fruits & Vegetables
• 9.4. Fiber & Industrial Crops
• 9.5. Ornamental Crops
• 9.6. Plantation Crops

10. Plant Genomics Market, by Sample Type

• 10.1. Leaf Tissue
• 10.2. Seeds
• 10.3. Seedlings
• 10.4. Roots
• 10.5. Pollen & Anthers
• 10.6. Tissue Culture Material

11. Plant Genomics Market, by Breeding System

• 11.1. Self-Pollinated Crops
• 11.2. Cross-Pollinated Crops
• 11.3. Vegetatively Propagated Crops

12. Plant Genomics Market, by Application

• 12.1. Agriculture
  • 12.1.1. Disease Resistance
  • 12.1.2. Genetic Improvement
  • 12.1.3. Yield Improvement
• 12.2. Diagnostics
  • 12.2.1. Genetic Testing
  • 12.2.2. Infectious Disease Testing
  • 12.2.3. Prenatal Testing
• 12.3. Research
  • 12.3.1. Basic Research
  • 12.3.2. Biomarker Discovery
  • 12.3.3. Drug Discovery

13. Plant Genomics Market, by End Users

• 13.1. Academic & Research Institutes
• 13.2. Agriculture Firms
• 13.3. Hospitals & Diagnostic Laboratories
• 13.4. Pharmaceutical & Biotechnology Companies

14. Plant Genomics Market, by Region

• 14.1. Asia-Pacific
• 14.2. North America
• 14.3. Latin America
• 14.4. Europe
• 14.5. Middle East
• 14.6. Africa

15. Plant Genomics Market, by Group

• 15.1. ASEAN
• 15.2. GCC
• 15.3. European Union
• 15.4. BRICS
• 15.5. G7
• 15.6. NATO

16. Plant Genomics Market, by Country

• 16.1. United States
• 16.2. Canada
• 16.3. Mexico
• 16.4. Brazil
• 16.5. United Kingdom
• 16.6. Germany
• 16.7. France
• 16.8. Russia
• 16.9. Italy
• 16.10. Spain
• 16.11. China
• 16.12. India
• 16.13. Japan
• 16.14. Australia
• 16.15. South Korea

17. Competitive Landscape

• 17.1. Market Concentration Analysis, 2025
  • 17.1.1. Concentration Ratio (CR)
  • 17.1.2. Herfindahl Hirschman Index (HHI)
• 17.2. Recent Developments & Impact Analysis, 2025
• 17.3. Product Portfolio Analysis, 2025
• 17.4. Benchmarking Analysis, 2025

18. Company Profiles

• 18.1. 10x Genomics, Inc.
• 18.2. Agilent Technologies, Inc.
• 18.3. AgReliant Genetics, LLC
• 18.4. Bayer AG
• 18.5. Benson Hill, Inc.
• 18.6. BGI Genomics Co., Ltd.
• 18.7. Cibus, Inc.
• 18.8. Complete Genomics, Inc.
• 18.9. Corteva Agriscience
• 18.10. Demeetra AgBio, Inc.
• 18.11. Eurofins Scientific SE
• 18.12. Floragenex, Inc. by Sedia Biosciences Corporation
• 18.13. GENEWIZ by Azenta Life Sciences
• 18.14. Groupe Limagrain
• 18.15. Illumina, Inc.
• 18.16. Inari Agriculture, Inc.
• 18.17. KeyGene N.V.
• 18.18. KWS SAAT SE & Co. KGaA
• 18.19. LC Sciences LLC
• 18.20. LGC Limited
• 18.21. Merck KGaA
• 18.22. Neogen Corporation
• 18.23. Novogene Co., Ltd.
• 18.24. NRGene Technologies Ltd.
• 18.25. Oxford Nanopore Technologies plc
• 18.26. Pacific Biosciences of California, Inc.
• 18.27. QIAGEN N.V.
• 18.28. Rijk Zwaan Zaadteelt en Zaadhandel B.V.
• 18.29. Syngenta AG
• 18.30. Thermo Fisher Scientific Inc.