PUBLISHER: Coherent Market Insights | PRODUCT CODE: 1671955
PUBLISHER: Coherent Market Insights | PRODUCT CODE: 1671955
Global Plant Phenotyping Market is estimated to be valued at USD 339.2 Mn in 2025 and is expected to reach USD 778.9 Mn by 2032, growing at a compound annual growth rate (CAGR) of 12.6% from 2025 to 2032.
Report Coverage | Report Details | ||
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Base Year: | 2024 | Market Size in 2025: | USD 339.2 Mn |
Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
Forecast Period 2025 to 2032 CAGR: | 12.60% | 2032 Value Projection: | USD 778.9 Mn |
Plant phenotyping involves monitoring and quantifying phenotypic traits of plants under field or controlled environment conditions. It allows for the rapid analysis of multiple parameters including plant size, color, and morphology to gain physiological and biochemical insights. Advancements in sensor technologies, automation, and data analysis have revolutionized plant phenotyping in recent years. High throughput techniques are enabling researchers to assess hundreds to thousands of plants in a short time span and link phenotypic characteristics with plant genotypes. This is speeding up plant breeding and helping develop superior crop varieties with higher yields, resistance to biotic and abiotic stresses.
The plant phenotyping market is driven by the need to boost crop production to sustain the rising global population. Phenotyping aids in developing climate-resilient and higher yielding seed varieties. The adoption of automated phenotyping solutions is growing due to their advantages of processing large germplasm pools rapidly and objectively compared to manual methods. However, high installation and maintenance costs of phenotyping platforms restrict broader adoption. Growing R&D investments by governments and seed companies to ensure food security presents major opportunities. Increasing scope of phenotyping in secondary traits evaluation and association mapping studies will further propel the market growth. Data consolidation and management challenges need to be addressed.
Detailed Segmentation-