February 24, 2024
Plant Phenotyping Market

Crop Phenotyping is the largest segment driving the growth of Plant Phenotyping Market

Market Overview:

The plant phenotyping market involves collection of phenotypes data about plants under different environmental conditions to study plant growth patterns such as morphology, development and biochemistry. It helps in understanding plant biological and chemical processes for crop improvement. Advancements in genomics and imaging techniques have enabled high-throughput phenotyping to measures plant responses with high throughput and accuracy.

The plant phenotyping market is estimated to be valued at US$ 227.28 Mn in 2023 and is expected to exhibit a CAGR of 11% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

One of the key trends in the plant phenotyping market is increasing adoption of high-throughput field-based phenotyping techniques. Earlier phenotyping required manual measurements of plant traits which was time consuming and limited to few parameters. Advancements in technologies such as thermal imaging, 3D imaging, spectrometry, LiDAR, and hyperspectral imaging enable capturing of complex plant traits both spatially and temporally under field conditions. These imaging techniques coupled with automated data analysis offer high-throughput field phenotyping for hundreds of genotypes and help in expediting trait selection and breeding programs. Automated field phenotyping platforms equipped with different sensors are enabling assessment of complex traits including disease resistance, abiotic stress tolerance, water use efficiency and yield under natural field environments. This is facilitating integration of phenomics with genomics for accelerating crop improvement through marker-assisted breeding.

SWOT Analysis

Strength: The plant phenotyping market is driven by increasing demand for crop monitoring and analysis. Plant phenotyping techniques help increase crop yields and reduce costs of production through early detection of stresses.
Weakness: High initial costs associated with plant phenotyping equipment and need for technical expertise are limiting wider adoption. Manual data analysis is time taking.
Opportunity: Growth in application of robotics, drones, sensors and imaging technologies provide new opportunities. Advancements in data analytics and artificial intelligence also present scope for innovation.
Threats: Concerns around data security and significant investments in R&D by competitors pose threats. Dependence on climate conditions and seasonal nature of agriculture also introduce risks.

Key Takeaways

The Global Plant Phenotyping Market Size is expected to witness high growth, exhibiting CAGR of 11% over the forecast period, due to increasing demand for enhanced crop varieties with higher yields. Adverse impacts of climate change are driving need for stress-resistant crops developed through plant phenotyping.

Regional analysis: North America dominated the global plant phenotyping market in 2022 followed by Europe, together accounting for over 60% share. Asia Pacific is expected to be the fastest growing market during the forecast period supported by large production bases and R&D initiatives in countries such as China and India. Investments are growing across various nations to establish sophisticated phenotyping facilities and research centers.

Key players operating in the plant phenotyping market are BASF SE, Phenospex, WIWAM, Lemnatec Corporation, Plant-DiTech, Hiphen, Delta-T Devices Ltd., Phenomix, Keygene, Qubit Systems, WPS B.V., Photon Systems Instruments, Vienna Biocenter, Heinz Walz Gmbh, CropDesign, and Rothamsted Research. These companies are focusing on new product launches and expansion strategies to gain shares and meet the rising global demand. Partnerships between technology providers and crop research organizations are also on the rise.

*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it