The agriculture genomics market is expected to grow at a CAGR of 9.14%, reaching a market size of US$6.004 billion in 2030 from US$3.908 billion in 2025.
Agriculture can also be called the science of farming, which includes the cultivation of soil for growing crops, harvesting grown crops, and the rearing of animals to provide food, wool, and other products, as effectively as possible. This has allowed humanity to strive for centuries and allowed human beings to grow at great heights as of today. In the current age of agriculture, the use of technology plays a major role in growth. Technology has allowed the automation of farming and genetic modification of crops that allowed to change the characteristics of crops. This allowed the reduction of risk factors like diseases and low yield rates. Agricultural Genomics is a type of agricultural science that allows the genetic modification of the crop using advanced technology to produce improved varieties of crops.
Agriculture Genomics, also known as agrigenomics, is a research methodology that allows for the research of the structure, function, evolution, mapping, and editing of genomes in crops. This allows for altering the genomes of the crops to create a better and improved version of the crop. This provides a variety of benefits such as increased yield, improved quality, increased resistance to diseases and natural causes such as heat, floods, droughts, and extreme cold, and an increase in nutrients provided by the crops. It can also help in combining traits of two different genes or gene signatures to improve crop breeding and generate hybrids that can provide the most desirable properties of both crops, which include high yield potential, larger seed, and many others.
North America is expected to hold a significant market share The North American region is expected to hold the dominant position and growth in the agriculture genomics market during the forecasted period of 2024-2029. The factors that affect the market growth in this region are the presence of global players like Corteva Agriscience, and a wide range of adoptions of genetic engineering (GE) in agriculture. The United States is one of the major adopters of agricultural genomics. As per the U.S. Department of Agriculture, Agricultural genomics was introduced in 1996 and displayed rapid adoption in the years that followed with over 90% of US corn, upland cotton, and soybeans produced being genetically modified in 2023. They categorized the products based on the characteristics of crop genomics, which include herbicide tolerant (HT), insect resistant (Bt), and stacked varieties which are a combination of both HT and Bt traits. As per the data provided, the crops that were grown through genetically modified soybeans with HT traits displayed an application of 95% in 2023, along with other crops with traits displaying above 84% as well. This adoption can be due to an increase in the yield of production of these crops, as well as improved resistance to damage and natural causes, which decrease cost and increase productivity. Therefore, an increase in adoption and the presence of major players will propel the agriculture genomics market growth in the North American region during the forecasted period.
| Report Metric | Details |
|---|---|
| Study Period | 2021 to 2031 |
| Historical Data | 2021 to 2024 |
| Base Year | 2025 |
| Forecast Period | 2026 β 2031 |
| Report Metric | Details |
| Agriculture Genomics Market Size in 2025 | US$3.908 billion |
| Agriculture Genomics Market Size in 2030 | US$6.004 billion |
| Growth Rate | CAGR of 9.14% |
| Study Period | 2020 to 2030 |
| Historical Data | 2020 to 2023 |
| Base Year | 2024 |
| Forecast Period | 2025 – 2030 |
| Forecast Unit (Value) | USD Billion |
| Segmentation |
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| Geographical Segmentation | North America, South America, Europe, Middle East and Africa, Asia Pacific |
| List of Major Companies in Agriculture Genomics Market |
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| Customization Scope | Free report customization with purchase |
The Agriculture Genomics Market is analyzed into the following segments: