by Plant Phenotyping Involves Monitoring And Assessing Plant Development From Seed Germination And Seedling Growth To Maturity Under Dynamic Field Conditions. It Provides Non-Destructive, Quantitative Data To Understand Plant Genetics And Environmental Interactions. This Enables Breeders And Researchers To Improve Crop Varieties Through Selective Breeding. Advances In Imaging And Sensor Technologies Have Automated High-Throughput Plant Phenotyping And Help Screen Large Breeding Populations Rapidly. The Global Plant Phenotyping Market Has Shown Promise, Given Increasing Demand For Improved Crop Yields And Resistance To Biotic And Abiotic Stresses From Changing Climate.
The Global Plant Phenotyping Market Is Estimated To Be Valued At US$ 227.28 Mn In 2023 And Is Expected To Exhibit A CAGR Of 2.4% Over The Forecast Period 2023 To 2030, As Highlighted In A New Report Published By Coherent Market Insights.
Market Key Trends
Development Of Robotic And Unmanned Platforms: Plant Phenotyping Platforms Integrated With Robotics And Autonomous Vehicles Help Automate Data Collection From Field Experiments. They Eliminate Human Errors And Speed Up Field Sampling. Ongoing R&D Is Strengthening Robotics, Sensors And Imaging Capabilities For High-Throughput Plant Phenotyping.
Big Data Analytics And Artificial Intelligence: Large Datasets Generated Through Plant Phenotyping Technologies Are Analyzed Using Advanced Analytics And Artificial Intelligence. This Helps Identify Subtle Plant Traits And Their Linkage To Specific Genes. AI Aids Image-Based Trait Extraction At A Larger Scale For Accelerating Crop Improvement Programs.
Cloud Computing Solutions: Cloud Solutions Enable Centralized Storage, Management And Sharing Of Petabytes Of Plant Phenotyping Data Globally. Researchers Can Access Plant Genomic And Environmental Datasets Through Cloud-Based Web Portals To Facilitate Collaborative Analysis. This Boosts Research Efficiency.
Porter’s Analysis
Threat Of New Entrants: Low. High Capital Requirements For R&D And Commercialization Limit Threats Of New Entrants.
Bargaining Power Of Buyers: High. The Buying Power Is High Due To Availability Of Numerous Players Operating In The Market.
Bargaining Power Of Suppliers: Moderate. Suppliers Of Key Components Hold Some Bargaining Power Due To Availability Of Component Substitutes.
Threat Of New Substitutes: Low. No Direct Substitute Are Available Currently For Plant Phenotyping Solutions.
Competitive Rivalry: High. Presence Of Numerous Established Players Result In Intense Competition.
Key Takeaways
The Global Plant Phenotyping Market Growth Is Expected To Witness High Growth. The Global Plant Phenotyping Market Is Estimated To Be Valued At US$ 227.28 Mn In 2023 And Is Expected To Exhibit A CAGR Of 2.4% Over The Forecast Period 2023 To 2030.
North America Currently Dominates The Market Due To Presence Of Major Players And Development Of Innovative Solutions In The Region. Growing Adoption Of Plant Phenotyping Technologies To Enhance Crop Yields Is Also Fueling Market Growth In The Region. Europe Is Also Expected To Offer Lucrative Opportunities During The Forecast Period Supported By Ongoing Research Activities Related To Plant Breeding And Genomics. Rising Need To Enhance Crop Productivity Is Propelling Adoption Of Plant Phenotyping Technologies In Countries Like Germany, U.K., And France.
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. BIOTRONIK, Medtronic And Boston Scientific Hold Majority Market Share Due To Their Strong Product Portfolio And Global Footprint.
*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
Money Singh is a seasoned content writer with over four years of experience in the market research sector. Her expertise spans various industries, including food and beverages, biotechnology, chemical and materials, defense and aerospace, consumer goods, etc.
