Plant phenotyping involves measurements of biological and chemical processes as well as the phenotypic characteristics of plants and plant species. It is used in agricultural research to assess the influence of environmental and genetic factors on numerous plant traits. Plant phenotyping helps breeding programs develop superior varieties of crops that offer greater yields and resistance to pests and diseases. Adoption of deep learning technology enables identification of phenotypic traits with high accuracy and reproducibility.

The global Plant Phenotyping Market is estimated to be valued at US$ 261.83 Mn in 2024 and is expected to exhibit a CAGR of 2.4% over the forecast period 2024-2031, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

Deep learning techniques are gaining widespread adoption in plant phenotyping. These techniques use artificial neural networks that can learn patterns directly from imaging data without relying on handcrafted image features. Deep learning accelerates image analysis in plant phenotyping by automating extraction of phenotypic traits from images captured in the field or controlled environments. Convolutional neural networks (CNN) are increasingly being employed for plant classification and segmentation. Researchers have also developed CNN-based models for leaf counting and shape analysis. Adoption of deep learning technology significantly improves the throughput and reproducibility of plant phenotyping experiments. It allows evaluation of large datasets in a high-throughput manner critical for accelerating genetic gains in crop breeding programs.

Segment Analysis

The global plant phenotyping market is dominated by the equipment segment. This is because plant phenotyping equipment such as cameras, sensors, and imaging systems are indispensable for collecting huge phenotype data sets to analyze plant traits in a high-throughput manner. Such data on plant traits like growth, morphology, and physiology helps researchers study plant stress responses and selection of ideal crops for various climatic conditions.

Key Takeaways

The Global Plant Phenotyping Market Size is expected to witness high growth over the forecast period. The market is still at a nascent stage with growing adoption of phenotyping solutions across various applications such as breeding, gene mapping, photosynthesis, and abiotic/biotic stress effects on plants. The global Plant Phenotyping Market is estimated to be valued at US$ 261.83 Mn in 2024 and is expected to exhibit a CAGR of 2.4% over the forecast period 2024-2031.

Regional analysis: The North American region currently dominates the global plant phenotyping market owing to extensive research in agriculture and plant sciences in countries like the US and Canada. Universities and government organizations are widely deploying phenotyping platforms to advance crop research. The Asia Pacific region is anticipated to grow at the fastest rate during the forecast period with rising agricultural R&D investments in developing countries.

Key players: Key players operating in the plant phenotyping market include LemnaTec GmbH, WIWAM, Delta-T Devices Ltd., Phenospex, Phenomix, Photon Systems Instruments, Qubit Systems Inc., Rothamsted Research, The Scotts Company, and VBCF

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