Plant phenotyping involves monitoring and measuring key plant development traits such as morphology, physiology and gene expression patterns. It plays a crucial role in crop improvement programs by helping breeders select traits like yield, stress tolerance and nutritional quality. With rising global population and changing climate conditions, sustainable agriculture has become imperative. The need for developing resource efficient, high yielding crop varieties adapted to biotic and abiotic stresses through modern plant breeding techniques is driving significant investments in plant phenotyping technologies.

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 to 2031, as highlighted in a new report published by Coherent Market Insights.

Market Opportunity:

The opportunity for advanced crop breeding through precision phenotyping is fueling growth of the plant phenotyping market. Traditional field-based crop evaluation methods are labor intensive, time consuming and have low throughput. Plant phenotyping platforms enable processing of large datasets on diverse germplasm and generating precise phenotypic profiles. This facilitates screening of extensive genetic resources and developing new crop varieties suited for particular agro-climatic zones or resilient to diseases within a shorter time frame. With growing emphasis on sustainability in agriculture, advanced phenotyping is crucial for genetic gains through accelerated crop improvement programs.

Porter's Analysis

Threat of new entrants: The plant phenotyping market has moderate threat of new entrants as it requires heavy investments in R&D, equipment and skilled workforce.

Bargaining power of buyers: The bargaining power of buyers is moderate to high as plant phenotyping services can be substituted with other field-based phenotyping approaches.

Bargaining power of suppliers: The bargaining power of suppliers is moderate as there are a few large players supplying plant phenotyping equipment.

Threat of new substitutes: Threat of new substitutes is low to moderate for integrated plant phenotyping systems.

Competitive rivalry: Competition is intense among the leading players to develop advanced hardware and image analysis solutions.

SWOT Analysis

Strengths: Integrated plant phenotyping solutions provide high-throughput, non-destructive analysis.

Weaknesses: Plant phenotyping requires expertise in plant science, engineering and computing. Initial investments are high.

Opportunities: Increasing demand for crop improvement drives innovation.

Threats: Accuracy of field-based phenotyping depends on environmental conditions. Other mobile robotics and sensing technologies pose competition.

Key Takeaways

The Global Plant Phenotyping Market Size is expected to witness high growth during the forecast period due to the increasing demand for understanding plant traits. 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 to 2031.

The North America region dominates the global plant phenotyping market currently due to strong government support and the presence of leading vendors. The Asia Pacific region is expected to grow at the highest CAGR during the forecast period due to rising R&D investments, growing horticulture industry, and increasing automation in agriculture. China, India, and Japan are major countries contributing to the growth of the plant phenotyping market in the region.

Key players related content comprises Key players related content (Key players related content (Write very shorts about key players mention the given key players only (format for key players analysis: Key players operating in the plant phenotyping market are BIOTRONIK SE & Co.KG, Medtronic plc., Boston Scientific Corporation, Abbott Laboratories, LivaNova plc., Osypka Medical GmbH, and MEDICO S.p.A.)). Do not write conclusion anywhere in the output I repeat do not write conclusion.

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