The Plant Phenotyping Market is estimated to witness high growth owing to technological advancements in plant phenotyping sensors and platforms and increasing demand for food security. The plant phenotyping market size is estimated to be valued at USD 301.2 million in 2024, exhibiting a CAGR of 12.4% over the forecast period (2024-2031). Furthermore, rising focus on developing climate-resilient crops and reduction of CO2 emissions from agricultural activities are also fueling the market growth.
Technological advancements
Continuous innovation and new product launches catering to precision agriculture are expanding the application ambit of plant phenotyping. Leading companies are focusing on developing real-time, non-destructive, and high-throughput field-based phenotyping sensors and platforms. For instance, drones and aerial images are being increasingly used for large-scale field phenotyping.
Increasing demand for food security
With the growing global population, there is an ever-rising demand for food. However, agricultural land availability is shrinking. This is propelling the need for developing high-yield and climate-resilient crops. Plant phenotyping helps breeders select best genome variations and accelerate plant breeding programs, which is critical for ensuring food security.
Increasing Adoption of Precision Farming and Need for Improved Crop Yield is Driving the Plant Phenotyping Market
With the growing global population and rise in demand for food, the need for improved crop yields through optimized farming techniques has become more important than ever before. Precision agriculture and phenotyping techniques allow farmers to customize their crop management based on the unique traits and needs of individual plants. By understanding the genetic composition and responses of crops, farmers can select the best varieties, optimize growing conditions, increase resistance to diseases and pests, and maximize yields. The adoption of precision farming approaches using plant phenotyping is growing significantly across major farming regions to feed the increasing global population in a sustainable manner.
Focus on Developing Drought, Salinity and Stress Resistant Crop Varieties is Fueling Phenotyping Research
As climate change makes weather patterns more extreme and unpredictable, developing crop varieties that can tolerate abiotic stresses like drought, high salinity and temperature fluctuations is a major research priority. Phenotyping platforms that can accurately assess the responses of plants to different stress conditions are critical to identify traits that convey resistance. Significant investments are being made by public and private organizations in developing stress-tolerant crop breeds. Comprehensive phenotyping aided by imaging, sensors and data analytics allows assessment of complex genetic traits and accelerated variety development. This growing R&D focus on abiotic stress resistance is propelling the phenotyping technology market.
High Capital Requirements and Monitoring Costs Pose Challenges for Wide Adoption
While the benefits of plant phenotyping are well established, the significant capital expenditure required to set up phenotyping facilities equipped with imaging, sensing and analytic infrastructure is a major limitation for small and resource-constrained farmers. Maintaining the platforms and periodic upgrade of software and hardware also results in high operating costs. The need for technical expertise to optimize settings, acquire and analyze large phenotypic data further increases monitoring costs. These economic barriers restrict wider adoption of phenotyping, especially in developing nations.
Robust Phenotyping Data Enables Plant Breeders to Shortlist Elite Varieties Quickly
Traditional crop evaluation and variety selection methods depend highly on manual observations and measurements which are labor-intensive, low-throughput, and error-prone. With phenotyping platforms generating precise, non-destructive and high-volume plant trait data over the growth cycle, plant breeders can efficiently screen and validate thousands of variant lines to shortlist the best performing elite varieties in a fraction of the time. Advanced image analysis and machine learning on phenotypic datasets further augment selection accuracy. This ability of modern phenotyping methods to significantly expedite plant breeding cycles presents lucrative opportunities for growth in this market.
Open-Access Phenotypic Databases and Predictive Analytics Tools Boost Commercialization Potential
Agricultural researchers and private companies are now establishing open-access repositories of high-quality phenotypic datasets including both genotypic and environmental data measured over multiple years and locations. At the same time, advanced analytics using techniques like deep learning and predictive modeling are enabling extraction of hidden patterns from these massive datasets. This paves way for developing robust predictive models and decision-support tools that can forecast plant responses and optimize cultivation practices. The commercial scope for marketed analytics services and agri-intelligence platforms leveraging open phenomics data is substantial and motivating industry investments.
Link - https://www.coherentmarketinsights.com/market-insight/plant-phenotyping-market-4584
Key Developments
- In 2022, the Nordic-Baltic Plant Phenotyping Network was officially launched, marking a significant initiative aimed at enhancing collaboration and innovation in plant phenotyping across the Nordic and Baltic regions. This network is designed to unite researchers, institutions, and industry stakeholders with the goal of improving plant breeding and cultivation practices through advanced phenotyping techniques.
- In 2022, Royal Van Zanten (RVZ) established a partnership with Interplant, a breeder renowned for its expertise in spray roses. This collaboration aims to provide growers in East Africa with access to RVZ's diverse selection of flower varieties, including Alstroemeria, Statice, Chrysanthemum, and Limonium.
- In 2020, Analytik introduced the HyperAixpert, an advanced multisensor plant phenotyping system designed to enhance the analysis of plant growth and development. This innovative technology integrates multiple sensors to collect a comprehensive range of data, enabling researchers and agronomists to gain deeper insights into plant traits.
Key Players
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
