Agrigenomics Market By Technology (NGS, PCR, SNP Genotyping, Microarrays, Gene Editing); By Application (Crop Breeding, Livestock Genomics, Aquaculture, Nutrigenomics, Microbiome Analysis); By End User (Academic Institutions, Biotech Companies, Agribusinesses, Government Bodies); By Geography, Segment Revenue Estimation, Forecast, 2024–2030.

1. Introduction and Strategic Context

The Global Agrigenomics Market will witness a robust CAGR of 10.2 % , valued at $5.9 billion in 2024 , and is expected to appreciate and reach $10.4 billion by 2030 , confirms Strategic Market Research.

 

Agrigenomics —also known as agricultural genomics—refers to the application of genomics technologies in agriculture to improve the yield, disease resistance, nutritional value, and overall productivity of crops and livestock. In the current global context, this domain sits at the critical intersection of food security, climate change adaptation, and next-gen agricultural innovation. As the world population approaches 9 billion by 2030, ensuring sufficient and resilient food production systems has never been more urgent. This imperative is driving significant momentum behind agrigenomic R&D and deployment.

 

The strategic relevance of agrigenomics lies in its ability to decode plant and animal genomes for selective breeding, trait prediction, and genetic modification. Cutting-edge methods such as next-generation sequencing (NGS), CRISPR gene editing, and SNP genotyping are transforming traditional farming into a data-driven, precision-based science. Genomics data is being applied not only to increase productivity but also to reduce pesticide dependency, enhance nutritional content, and develop climate-resilient crops.

 

From a policy perspective, governments across North America, Europe, and Asia are actively funding genomics in agriculture. For instance, public-sector genome banks and agri -biotech innovation hubs have multiplied across India, the U.S., and China. Simultaneously, the private sector is racing to develop proprietary sequencing platforms and bioinformatics pipelines, creating a dynamic IP-led competitive landscape.

 

The agrigenomics ecosystem includes a diverse range of stakeholders:

• Original Equipment Manufacturers (OEMs) producing sequencing machines and genotyping platforms

• Biotech firms specializing in agri -bioinformatics and trait selection

• Research institutes and universities driving foundational discovery

• Agribusinesses and seed companies applying genomics to breeding programs

• Government bodies funding public research and enforcing biosafety standards

• Venture capital and private equity investors targeting agri -bio startups

Importantly, agrigenomics is no longer confined to staple crops like corn and soybeans. Emerging use cases in aquaculture, livestock genomics, horticulture, and even forestry are expanding the field’s addressable market.

In summary, the agrigenomics market is at a pivotal inflection point—combining biotech innovation, regulatory support, and urgent food system challenges into a high-growth opportunity spanning both developed and developing economies.

 

2. Market Segmentation and Forecast Scope

The Agrigenomics Ma rket is multifaceted, encompassing a variety of tools, applications, and stakeholders across the agri -biotech spectrum. For accurate forecasting and strategic insights, the market can be segmented across four primary dimensions :

By Technology

• Next-Generation Sequencing (NGS)

• Polymerase Chain Reaction (PCR)

• Microarrays

• SNP Genotyping

• Gene Editing (e.g., CRISPR/Cas9)

Among these, NGS holds the largest share in 2024 , accounting for approximately 36.5% of global revenues, owing to its scalability and declining cost per base. NGS is particularly vital in high-resolution trait mapping and large-scale genotyping projects. However, gene editing technologies , especially CRISPR, are projected to be the fastest-growing segment with a CAGR exceeding 12% , driven by precision breeding and deregulation in emerging economies.

By Application

• Crop Breeding

• Livestock Genomics

• Aquaculture and Marine Genetics

• Nutrigenomics in Agriculture

• Agricultural Microbiome Analysis

Crop breeding remains the dominant application area, particularly in cereals, oilseeds, and pulses, due to the global emphasis on yield optimization and climate resilience. However, livestock genomics is gaining rapid traction , especially in dairy and meat genetics, as consumers demand higher-quality and ethically-bred animal products.

By End User

• Academic & Research Institutions

• Biotech Companies

• Agribusinesses and Seed Corporations

• Government and Regulatory Bodies

While academic and research institutions contribute significantly to early-stage R&D, it is the agribusinesses and seed corporations that dominate the commercial application space. These firms leverage proprietary genomics data to develop competitive hybrid varieties and improve IP ownership in breeding programs.

By Region

• North America

• Europe

• Asia Pacific

• Latin America

• Middle East & Africa

North America leads the market, thanks to advanced infrastructure, established biotech clusters, and aggressive IP enforcement. Meanwhile, Asia Pacific is expected to witness the fastest growth, fueled by supportive government policies in India, China, and ASEAN nations, combined with rising agritech investments and a large agricultural base.

This segmentation model enables targeted strategy development for investors, innovators, and policymakers. Each dimension of the market reveals both mature segments with revenue certainty and emerging segments offering high-growth potential.

 

3. Market Trends and Innovation Landscape

The agrigenomics market is currently undergoing a technology-driven transformation, fueled by innovations in molecular biology, AI-assisted trait discovery, and decentralized bioinformatics . As agricultural productivity and sustainability move to the top of national agendas, agrigenomics is seeing substantial R&D investment, disruptive startup activity, and the convergence of multiple scientific disciplines.

Key Innovation Trends:

• Convergence of Genomics and Artificial Intelligence Modern agrigenomics has moved far beyond simple gene sequencing. Today, AI and machine learning algorithms are enabling rapid trait prediction, polygenic risk scoring, and phenotypic forecasting . AI-assisted analytics platforms now allow breeders to simulate thousands of crop or livestock trait combinations, drastically reducing the trial cycle.

• Portable and On-Site Sequencing The development of portable NGS tools —such as nanopore -based handheld devices—has opened new frontiers in on-farm genomics. These innovations enable real-time genomic surveillance and adaptive breeding decisions at the point of need, bypassing centralized labs and reducing turnaround times.

• CRISPR 2.0 and Precision Gene Editing The application of CRISPR- Cas variants (like Cas12, Cas13) is evolving rapidly, enabling tissue-specific or epigenetic-level interventions. Such technologies are proving especially valuable in editing drought resistance, nitrogen use efficiency, and disease resistance without triggering regulatory red flags around transgenics .

• Metagenomics and Microbiome Engineering There is growing interest in the role of soil and root microbiomes in determining crop yield and resilience. Metagenomic analysis allows agriscientists to characterize microbial diversity and engineer targeted probiotic blends to enhance plant growth—a trend sometimes dubbed “microbiome-based fertilization.”

• Digital Twin Models for Livestock In livestock genomics, emerging models replicate the “digital twin” concept , creating virtual simulations of animal development based on real-time genomic and environmental data. This allows early intervention in animal health, nutrition optimization, and prediction of future performance traits.

Mergers, Collaborations, and Tech Integration:

• In the past two years, several strategic partnerships have emerged between biotech firms and seed companies , aimed at integrating proprietary genomic databases into commercial seed pipelines.

• A noticeable trend is the acquisition of agri -bioinformatics startups by global agrochemical companies, signaling a move toward vertical integration in precision agriculture.

• Academic institutions have launched open-access agri -genomic repositories in collaboration with public sector agencies, aimed at democratizing trait data and enabling inclusive agri -innovation.

Experts predict that the next frontier in agrigenomics will be the fusion of multi-omics data—combining genomics, transcriptomics , proteomics, and metabolomics—into a unified decision framework. Such platforms will empower breeders and farmers with holistic, data-rich insight into plant and animal systems.

In conclusion, the innovation landscape in agrigenomics is both rich and rapidly evolving, with strong signals that it will become one of the cornerstones of future-ready agriculture. As regulatory frameworks mature and digital infrastructure becomes ubiquitous, the adoption of these next-gen genomic solutions is expected to accelerate globally.

 

4. Competitive Intelligence and Benchmarking

The agrigenomics market is characterized by a competitive mix of global genomics technology providers, niche biotech startups, seed giants, and data analytics firms , each carving out distinct value propositions. Market competition is shaped by IP portfolios, sequencing platform performance, cloud analytics capabilities, and depth of crop or livestock data assets.

Below is a breakdown of key players and their strategic positions in the agrigenomics landscape:

1. Illumina Inc.

As a global leader in DNA sequencing platforms, Illumina dominates the agrigenomics sequencing infrastructure market. It offers end-to-end solutions from library preparation to data interpretation. The company’s strategy centers on platform scalability , allowing both large-scale genomic institutions and small breeding firms to adopt its tools. Its partnerships with agri -biotech firms have enabled cost-effective, high-throughput genotyping for hybrid development.

2. Thermo Fisher Scientific

Thermo Fisher has a stronghold in PCR-based tools, SNP arrays, and custom assay design tailored for crop genetics and livestock trait mapping. The company’s agri -genomics arm focuses heavily on modular solutions—particularly in emerging markets—where technical capacity varies. Thermo Fisher’s edge lies in its hybrid integration of wet-lab consumables with cloud-based bioinformatics platforms.

3. Eurofins Scientific

Operating one of the world’s largest networks of genomic testing labs, Eurofins specializes in contract agrigenomics research services . It serves seed companies, livestock breeding firms, and government labs with tailored sequencing, trait testing, and regulatory biosafety evaluations. Its wide global presence—especially in Europe and Asia—allows rapid sample throughput and region-specific crop focus.

4. Agilent Technologies

Agilent is increasingly focusing on microarray and gene expression profiling technologies that are critical in environmental adaptation studies of crops. With a strong emphasis on data precision and reproducibility , it is positioning itself as a top player in climate-genomics projects and long-read sequencing workflows.

5. Bayer CropScience

With deep integration of genomics into its seed R&D pipeline, Bayer CropScience is not a platform provider but a power user of agrigenomic technologies . Through its global breeding stations, it employs high-throughput genomic selection to accelerate development cycles for corn, canola, soybean, and rice. Its IP-led strategy is backed by significant investments in trait prediction algorithms and multi-trait mapping .

6. Genotypic Technology

Based in India, Genotypic Technology is a fast-emerging service provider offering custom genomics, transcriptomics , and data analytics for tropical crops and livestock breeds. Its competitive edge lies in offering localized genomic services in South and Southeast Asia, a market segment underserved by large global providers.

7. BGI Genomics

BGI Genomics , headquartered in China, is expanding aggressively into agricultural biotechnology. The company leverages its low-cost sequencing infrastructure and strong data handling capabilities to support genomics-driven farming initiatives across Asia and Africa. Its massive genome data bank offers opportunities for precision breeding at an unprecedented scale.

Each of these players operates with a distinct combination of geography, technology, and end-market specialization . Competitive dynamics in agrigenomics are less about price wars and more about speed, precision, and scale of trait discovery .

Going forward, alliances between sequencing platform companies and digital agri -startups are expected to reshape competitive boundaries, enabling end-to-end solutions from DNA to field application.

 

5. Regional Landscape and Adoption Outlook

The adoption of agrigenomics technologies is highly influenced by regional variations in agricultural priorities, infrastructure maturity, regulatory frameworks, and access to skilled genomics talent. While developed markets lead in research intensity and infrastructure, emerging economies are rapidly catching up due to their pressing food security challenges and growing investments in precision agriculture.

North America

North America remains the largest and most mature market for agrigenomics , accounting for over 35% of global revenue in 2024. The region is driven by a strong combination of:

• Advanced biotech infrastructure

• High R&D expenditure

• Dominance of key players such as Illumina and Thermo Fisher Scientific

• Extensive adoption by leading seed companies and livestock breeders

The U.S. Department of Agriculture (USDA) and research universities play a pivotal role in creating open-access databases, driving genomic selection for drought-tolerant, high-yield varieties of maize, wheat, and soybean. Livestock genomics is also advanced, with genomic prediction models used in cattle, pigs, and poultry breeding programs.

Europe

Europe stands out for its regulatory clarity and emphasis on sustainability . Countries like Germany , France , and the Netherlands are investing heavily in genomic tools to support organic farming, climate adaptation, and biodiversity preservation.

While Europe is slightly conservative on gene-editing tools like CRISPR, its non-GMO-focused genomics applications (e.g., genotyping-by-sequencing for heritage crops and rare livestock breeds) are thriving. The Horizon Europe framework has allocated substantial funding toward multi-omics approaches in agriculture, making the region a hub for cross-disciplinary agrigenomics research.

Genomics is also being integrated into the European Green Deal strategy, particularly in reducing pesticide dependency and enhancing soil health through microbiome analysis.

Asia Pacific

Asia Pacific is emerging as the fastest-growing regional market , projected to grow at a CAGR of over 12% from 2024 to 2030. Key growth drivers include:

• Population pressure and food demand

• Government-led genomics initiatives (e.g., India’s Genomics India Initiative and China’s National Agricultural Science and Technology Innovation Program )

• Rapid digitalization of agricultural practices

China , India , and Japan are leading in crop genomics, while Vietnam and Indonesia are increasingly deploying genetic tools in aquaculture and rice breeding. Local players such as Genotypic Technology and regional offices of BGI Genomics are instrumental in democratizing access to genomics tools.

In Southeast Asia, climate-resilient rice and pest-resistant vegetables are high-priority use cases.

Latin America

Latin America has a strong application potential , especially in crops like sugarcane, soybean, maize, and beef cattle. Brazil and Argentina are leading the adoption of genomics in both public-sector breeding programs and private agri -export companies.

However, limited genomic infrastructure and dependency on foreign sequencing platforms have slightly restricted growth. That said, local governments are now incentivizing biotech innovation and IP creation to reduce reliance on imported technologies.

There is growing regional interest in improving traceability and quality in livestock through DNA-based certification systems.

Middle East & Africa

Though currently underpenetrated, MEA represents a high-opportunity frontier , especially for drought-resilient genomics and date palm or sorghum breeding. Countries like Israel and South Africa are notable for their agri -bio R&D ecosystems, with Israel contributing significantly to desert-agriculture genomics.

Africa is seeing early traction via international collaborations (e.g., Gates Foundation, CGIAR) focused on genomics for food security and disease resistance in cassava, millet, and legumes.

Infrastructure, awareness, and skilled workforce limitations remain key hurdles, but the long-term potential is significant , especially if mobile genomic testing and AI-driven phenotyping tools become more accessible.

In conclusion, while North America and Europe dominate in technological capacity and IP creation, the real growth momentum is shifting toward Asia Pacific and Latin America , where the need for genomic interventions aligns with economic scalability and agronomic challenges.

 

6. End-User Dynamics and Use Case

The agrigenomics market serves a diverse and evolving base of end users—ranging from foundational research institutes to commercial seed corporations and livestock enterprises. Each category of end user engages with agrigenomic technologies at different points along the value chain, from early-stage genome sequencing to field-level application of trait data.

1. Academic & Research Institutions

Universities and public research labs are the cornerstones of early discovery , conducting high-resolution genome mapping, multi-omics integration, and gene function annotation. These institutions typically leverage government grants to decode crop genomes, study plant-pathogen interactions, and develop pre-breeding materials for further commercialization.

In developing regions, academic bodies play a vital role in preserving indigenous crop varieties and livestock breeds through DNA barcoding and genotypic characterization.

2. Biotech Companies

Small and mid-sized biotech firms focus on niche genomic services , including custom genotyping, CRISPR toolkits, genome-wide association studies (GWAS), and bioinformatics-as-a-service. These players act as technology enablers , filling the gap between research insights and commercial breeding pipelines.

They often specialize in trait-specific genomic interventions—such as salt tolerance in rice or heat tolerance in cattle—and offer these as proprietary service modules.

3. Agribusinesses and Seed Corporations

Seed giants and integrated agribusinesses are the largest commercial adopters of agrigenomics . They leverage high-throughput genotyping, marker-assisted selection, and genomic selection algorithms to develop hybrid crop varieties and genetically superior livestock lines.

These firms view agrigenomics as a strategic advantage, offering differentiated, IP-protected products that can command premium pricing. Firms increasingly use genomic insights to shorten breeding cycles, improve stress resilience, and tailor crops to local agro-climatic conditions.

4. Government and Regulatory Bodies

Regulators and national agriculture departments utilize genomics for biosafety, traceability, and germplasm authentication . Genomic traceability tools are being integrated into export certification systems and quarantine processes to maintain biosecurity and reduce fraud.

In many regions, governments fund genome banks and data repositories to ensure sovereign access to critical agricultural genetics and reduce dependence on foreign platforms.

Illustrative Use Case: Precision Rice Breeding in South Korea

A tertiary agricultural research institute in South Korea partnered with a genomics platform provider to develop a new variety of rice optimized for saline soil conditions, a growing concern due to coastal salinization.

Using NGS and SNP genotyping , researchers identified salinity tolerance genes across hundreds of local rice accessions. Advanced trait prediction algorithms enabled selection of elite lines with both high yield and salt resistance.

Within three breeding cycles (around four years) , a new commercial rice hybrid—requiring 20% less freshwater and demonstrating 15% higher yield under stress—was released. This reduced farmers' irrigation costs and safeguarded food production in vulnerable coastal zones.

This case highlights the transformational value of agrigenomics in adapting traditional crops to climate-driven challenges while maintaining economic viability for farmers. It also showcases how academic institutions, technology vendors, and public agencies can collaborate to bring genomics innovation to market at scale.

 

7. Recent Developments + Opportunities & Restraints

Recent Developments (Last 2 Years)

• Illumina and Bayer CropScience Strategic Alliance (2023 ) Illumina partnered with Bayer to integrate long-read sequencing into Bayer’s global maize and soybean breeding programs. This collaboration aims to accelerate trait stacking and increase breeding accuracy in hybrid crops.

• India’s National Genomics Initiative for Agriculture (2024 ) The Indian Council of Agricultural Research (ICAR) launched a nationwide genomics mission to decode 100 indigenous crop genomes, aiming to enhance food security and seed independence.

• BGI Genomics Launches Low-Cost Agrigenomics Panel for Sub-Saharan Crops (2023 ) BGI introduced a genotyping solution tailored for cassava, millet, and groundnut breeding programs in Africa, priced to suit local R&D budgets.

• CRISPR-Based Livestock Breeding Trial in Australia (2024 ) A consortium of Australian universities and biotech firms initiated a trial to use CRISPR for hornless cattle breeding, aiming to improve animal welfare and reduce manual dehorning practices.

• Eurofins Acquires Two Agri -Bioinformatics Startups (2023 ) Eurofins expanded its agrigenomics portfolio through the acquisition of smaller firms specializing in trait prediction and genomic data analytics.

 

Opportunities

• Emerging Markets Adoption Rapid agritech digitization and supportive policy frameworks in countries like India, Brazil, and Vietnam are creating new revenue streams for agrigenomics vendors. Localized genomic solutions that align with indigenous crop/livestock varieties will see strong demand.

• AI-Driven Predictive Genomics Machine learning and data fusion are unlocking next-gen breeding strategies, allowing simulation-based selection and real-time trait mapping. This reduces R&D timeframes and improves trait predictability.

• Climate-Smart Agriculture & Sustainability Push Global food systems are under pressure to reduce emissions and water usage. Genomic tools can drive crop and livestock traits aligned with these goals—such as drought resistance, early maturity, and methane reduction in cattle.

 

Restraints

• Regulatory Complexity and Transgenic Confusion Despite being non-GMO in many applications, agrigenomics is often misunderstood and lumped into broader transgenic debates. This leads to regulatory delays, especially for gene-edited products.

• High Capital Costs and Technical Barriers Initial investment in sequencing platforms, cloud-based analytics, and skilled bioinformaticians remains high—particularly for SMEs and institutions in developing regions.

This section underscores the momentum, white space, and bottlenecks shaping the agrigenomics market. As technology matures and stakeholder alignment improves, most restraints are expected to diminish—unlocking broader adoption globally.

 

Report Coverage Table

Report Attribute	Details
Forecast Period	2024 – 2030
Market Size Value in 2024	USD 5.9 Billion
Revenue Forecast in 2030	USD 10.4 Billion
Overall Growth Rate	CAGR of 10.2% (2024 – 2030)
Base Year for Estimation	2023
Historical Data	2017 – 2021
Unit	USD Million, CAGR (2024 – 2030)
Segmentation	By Technology, By Application, By End User, By Geography
By Technology	NGS, PCR, SNP Genotyping, Microarrays, Gene Editing
By Application	Crop Breeding, Livestock Genomics, Aquaculture, Nutrigenomics, Microbiome Analysis
By End User	Academic Institutions, Biotech Companies, Agribusinesses, Government Bodies
By Region	North America, Europe, Asia-Pacific, Latin America, Middle East & Africa
Country Scope	U.S., UK, Germany, China, India, Japan, Brazil, etc.
Market Drivers	AI in genomics, climate-smart agriculture, genomic crop traceability
Customization Option	Available upon request