Agrigenomics Market Developments: How Bioinformatics Is Advancing Agricultural Genomic Research

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The Agrigenomics Market is built on a simple idea: better genetic insight leads to better crops and animals. Polaris Market Research values the global market at USD 5.0 billion in 2025, with a projected rise to USD 11.66 billion by 2034 at a CAGR of 9.9% during 2026 to 2034. The 2026 market estimate stands at USD 5.48 billion. Demand is shaped by food-security pressures, a growing population, and the need for sustainable, high-yield production systems. This article explores the technologies and applications that Polaris expects to define the industry's future.

Rising Momentum in Animal Applications

Livestock is the fastest-growing application in the report. Polaris projects the segment to exhibit the highest growth rate of 9.1% over the forecast period. Livestock has major applications across end-user industries, and the segment continues to expand owing to the rising number of farmers, breeders, and researchers across the globe. Citing the U.S. National Library of Medicine National Institutes of Health, the report notes that demand for animal protein is estimated to grow toward a global population of 9 billion by 2050.

In practical terms, livestock genomics gives producers a way to evaluate animals at the genetic level rather than relying only on observable performance. A notable regulatory milestone arrived in May 2025, when Genus received FDA approval for gene-edited PRRS-resistant pigs, paving the way for commercialization in the U.S.

Crop Improvement Through Targeted Selection

Crops remain the largest application, holding a 69.0% share in 2025. The cultivation, production, and demand for crops are rising rapidly across the food, beverage, healthcare, and genomics-related industries, and the report notes that, according to the World Bank, agriculture accounted for 4% of global gross domestic product in 2018. Precision breeding is how agrigenomics converts that demand into results. By using genomic data to target desirable genes directly, breeders can improve yield, stress tolerance, pest resistance, and nutritional quality more efficiently than trial-and-error selection allows. The same approach supports the development of climate-resilient crops and livestock that can maintain performance despite environmental variability.

Market dynamics reinforce this picture. The surging demand for organic food products worldwide is one of the major factors driving growth, and rising demand for bio-engineered food, increasing cultivation of hybrid crops, and expanding government budgets for agricultural technology provide additional support.

Gene Editing and the Role of Artificial Intelligence

Polaris expects advancements in CRISPR-based gene editing and molecular breeding techniques to improve agricultural productivity and resource efficiency. Investment is following this direction. In January 2025, Inari secured USD 144 million in funding to expand its multiplex gene-editing capabilities for row crops. Artificial intelligence complements editing in several ways. It helps optimize genome editing processes, reducing trial times and enhancing crop efficiency, and it speeds the analysis of gene sequencing data so that beneficial traits can be identified sooner.

𝐁𝐫𝐨𝐰𝐬𝐞 𝐌𝐨𝐫𝐞 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬:

https://www.polarismarketresearch.com/industry-analysis/agrigenomics-market 

Data and Analytics as the Connective Layer

Data is the connective tissue of modern breeding. The report highlights rising adoption of AI-powered genomic analytics, bioinformatics platforms, and precision breeding technologies as central to developing disease-resistant and climate-resilient crops and livestock. These bioinformatics platforms turn raw sequence output into decisions that breeders can act on, connecting genetic information with field and herd performance. Laboratory automation supports the same goal. In April 2025, QIAGEN announced plans to launch three automated sample-prep instruments for release in 2026 to enhance efficiency in genetic testing workflows.

These trends sit within a broader view of the future. Polaris expects growth to be driven by increasing global demand for sustainable, high-yield food production systems, with AI-powered genomic analytics boosting the development of disease-resistant and climate-resilient crops and livestock.

Regional Outlook and Growth Drivers

North America accounted for the largest revenue share of 35.0% in 2025, with the U.S. holding 83.0% of the regional market. Polaris attributes this leadership to robust agricultural research, government support, and widespread adoption of genomic technologies. Asia Pacific is expected to exhibit the highest CAGR of 11.8% through the forecast period because of a rising population and increasing crop demand, alongside rapid technological advancement in agriculture and growing government support and schemes. Citing the United Nations, the report notes that the global population is estimated to rise from 7.7 billion to 9.7 billion by 2050, which sustains the need for food and beverages.

Leading Companies in the Competitive Landscape

Prominent companies profiled in the report include Affymetrix, Agilent Technologies, Biogenetic Services, Edico Genome, Eurofins Scientific, GalSeq Srl, Genotypic Technology Pvt Ltd, Illumina, LGC Limited, SciGenom Labs, Tecan, Thermo Fisher Scientific, and Zoetics. Growing investments in agricultural biotechnology and government initiatives supporting food security and sustainable farming are expected to position agrigenomics as a critical component of next-generation agricultural ecosystems.

Conclusion

The Agrigenomics Market is entering a period in which editing, analytics, and breeding strategy matter as much as sequencing capacity. Livestock genomics, precision breeding, CRISPR-based gene editing, bioinformatics platforms, and climate-resilient crops are the themes that connect today's research activity with tomorrow's commercial products. With the market projected to reach USD 11.66 billion by 2034, stakeholders who invest in these capabilities, and who track regional differences in demand, will be better positioned to capture opportunities as agriculture adapts to a larger and more demanding global population.

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