The North American agrigenomics market was valued at USD 4.00 billion in 2023 and it is anticipated to reach USD 4.37 billion in 2024 from USD 8.91 billion by 2032, growing at a CAGR of 9.3 % from 2024 to 2032.
Crops dominate the segment of application for a market whose markets were followed by livestock in 2016. Because of the government's strong determination to support the productivity of the crop, the US Department of Agriculture (USDA) did a project on grains, which are being researched in the crop development area. The application of agrigenomics in the livestock sector has become limited to certain tests, such as the identification of genetic diseases and the testing of parentage. Good growth is projected in the breeding areas due to an increase in livestock breeders' demand for genomic databases.
The increasing of technologies which are advanced like high throughput and automation systems has brought interest among people who are doing research and for those who are using next generation systems in this market. The rapid growth of technologies like sequencing in the market has made the high throughput and lower cost per piece. Making this factor, the NGS technique is treated as an efficient tool and cost-effective for different types in their own way. Crop researchers who are supporting the applications of NGS in agrigenomics for genomic-assisted selection and genomic breeding have become the driving factors for the industry.
Eurofins Scientific Se (Luxembourg), Agilent Technologies' Inc. (U.S.), Thermo Fisher Scientific' Inc. (U.S.), LGS Limited. (U.K.), Illumina' Inc. (U.S.), Zoetis' Inc. (U.S.), Neogen Corporation (U.S.), Galseq Srl Via Italia (Italy), Agrigenomics' Inc. (U.S.), Biogenetic Services' Inc. (U.S.). some of the market players dominating the north America agrigenomics market.
Frequently Asked Questions
The market is anticipated to grow at a compound annual growth rate (CAGR) of 9.3% over the forecast period, driven by technological advancements and increased investment in agricultural research.
Agrigenomics is widely used in trait selection, genetic disease management, species identification, and quality control in crops and livestock, enhancing productivity and sustainability in agriculture.
Key trends include the integration of AI and machine learning in genomic analysis, the rise of precision agriculture, and an increasing focus on plant and animal genome editing.
Challenges include ethical and privacy concerns related to genetic data, high costs associated with genomic analysis, and the need for skilled professionals in agrigenomics.
Significant research focus is on major staple crops like corn, soybean, wheat, and cotton, aiming to improve yield, nutritional value, and environmental stress resistance.
Opportunities include investing in innovative agrigenomic startups, companies developing novel genetic engineering technologies, and businesses focusing on sustainable and precision agriculture solutions.
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