식물 표현형 분석 시장 평가 : 유형(제품 및 서비스), 용도(노지, 실험실, 온실), 지역별 기회와 예측(2018-2032년)

Global plant phenotyping market is projected to witness a CAGR of 11.98% during the forecast period 2025-2032, growing from USD 294.60 million in 2024 to USD 728.39 million in 2032. The market has grown over the last years owing to the development of agricultural technologies, along with the increasing demand for sustainable farming technologies and practices. Plant phenotyping is the measuring and analysis of observable traits in plants like growth rates, plant size, disease-resistant traits, and reaction to environmental stresses. This plays a significant role in crop breeding, genetic research and making more resilient, productive plant varieties. Such improvements have been made possible through the integration of high-throughput imaging technology, sensors, artificial intelligence, and machine learning in an effort to enable the collection of data more accurately and efficiently. These innovations allow for a large-scale and noninvasive monitoring of the plants, which promises to speed up and increase the level of accuracy with which phenotyping can be defined.

The surging global demand for food has also been one of the key drivers for the market, along with the increasing focus on sustainable agricultural practices and climate-resilient crops. The market is increasingly upholding adoption trends across industries such as agriculture, biotechnology, and research institutes.

On the other hand, the high costs associated with the phenotyping equipment, as well as technical data interpretation and integrating challenges, continue to impede a broader entry into the market. Despite these challenges, the future of the plant phenotyping market looks very promising with continuous technological advancements that will shape its growth.

In November 2024, at the university's AgriPark in Wagga Wagga, Charles Sturt University and the Australian Plant Phenomics Network (APPN) formally opened their new plant phenotyping node. Scientific and agricultural advancements in plant research are anticipated to be accelerated by this new partnership. Researchers can use airborne, ground-based, and below-ground phenotyping tools to study plant phenology at the APPN Charles Sturt Node.

Increasing Government and Private Collaborations Catalyze Market Expansion

Emerging partnerships between government and private agencies are accelerating the plant phenotyping market. Public funding and initiatives on agricultural research have contributed to the development of advanced technologies in plant phenotyping. Private and public partnerships are leading to the development of more efficient, cheaper phenotyping systems, which are very critical for large-scale applications in agriculture.

Furthermore, advanced technologies include AI-based analytics, robotics, and imaging, which are installed into private companies for the plant trait analysis. These collaborations also pave the way to commercializing research results and make innovative phenotyping tools available to a wider variety of stakeholders including farmers, research institutions, and agritech companies-for practical applications. Such partnerships speed up the growth of the market and innovation pertaining to plant phenotyping.

In October 2023, Delta-T Devices Ltd and the UK National Physical Laboratory worked together to develop the WET150, their newest multi-parameter soil sensor. Three important factors that affect plant growth are measured by the WET150 Sensor when placed in soil or substrate: temperature, moisture content, and electrical conductivity (EC), a powerful indication of nutrient levels. The project's focus for the National Physical Laboratory was the difficulties in calibrating a sensor that concurrently monitors the soil's conductivity (EC) and permittivity, from which measurements of soil moisture are obtained.

Field-based Phenotyping Influences the Market Growth

Field-based phenotyping is one of the primary factors fueling the evolution of the plant phenotyping market. Field-based phenotyping permits the analysis of plants in a natural environment, which thus gives the most reliable and realistic information on how crops respond to environmental stressors, diseases, and even differences in agricultural practices. This is quite effective in large-scale crop breeding programs and precision agriculture, as field data for a wide range of conditions can be integrated to expedite the development of such crop varieties that must be resilient, high-yielding, and adaptable to the climate.

Furthermore, field-based phenotyping has become very efficient and economical through advances in remote sensing technologies, drones, and mobile sensors, enabling real-time, non-invasive data acquisition over extensive agricultural areas. This has heightened the interest in field-based phenotyping systems, especially in precision agriculture, because one of the most critical needs now is to improve crop performance but at the same time minimize resource inputs. High-quality, field-based data will, therefore, be a central pillar in fast tracking the development of the market and innovations in future agriculture.

In February 2023, PhenomUK Research Infrastructure, a USD 3.06 million scoping activity funded by the UKRI Infrastructure Fund, was introduced. This two-year project intends to establish and test a nationwide distributed research infrastructure with regional sites to facilitate new methods of operation and a cultural change in the UK's approach to plant phenomics.

Software Holds the Dominant Market Share

Software is the key player in the plant phenotyping market. This is because processing, analyzing as well as interpreting all the data generated through phenotyping technologies is focused on software. Sophisticated software solutions enabled by AI, machine learning, and big data come up with precise trait measurements and automated image analyses while identifying genetic markers that are targeted at influencing crop performance.

In addition, software platforms are integrated with hardware systems like sensors, drones, and high throughput imaging devices, leading to seamless data management and visualization. These software solutions are gaining momentum primarily due to the growing demand for precision agriculture and better management of crop resources. With the increasing focus on digitalization in the agriculture sector, the role of software in the plant phenotyping market is expected to continue playing a significant role in future growth and innovation.

In May 2024, a new network for Nordic-Baltic plant phenotyping was established. The network called the Nordic-Baltic Plant Phenotyping Network (NBPPN) combines elements of NordPlant and Nordic Plant Phenotyping Network (NPPN). In its inaugural year, the network, which was funded by the Nordic Joint Committee for Agricultural and Food Research (NKJ), will hold an annual meeting and a workshop on handling phenotypic data in Bastad, Sweden.

Europe Dominates the Market

Europe dominates the plant phenotyping market because of its great investments in research and development, a good agricultural sector, and government support to ensure sustainable farming. It has some of the leading agricultural research institutions, universities, and biotechnological companies involved in developing the latest innovative technologies in the area of plant phenotyping. Countries in Europe such as Germany, France, and the UK are introducing advanced plant phenotyping techniques into crop breeding programs to increase productivity and solve problems created by climate change.

Apart from this, the agricultural sector in Europe is highly eco-oriented, which has led to increased enthusiasm for phenotyping technologies to create climate-resilient crops. Therefore, heavy demand for high-throughput phenotyping systems, along with a robust regional innovation ecosystem in agriculture, has turned Europe into the biggest market for plant phenotyping. Major players in the region are joining forces with players in other countries to expand their offerings worldwide. For instance, in July 2024, Heinz Walz GmbH formed a distribution alliance with Plant Science Brasil Ltd in Brazil. This partnership aims to support clients and researchers interested in environmental monitoring, soil physics, and plant physiology.

Future Market Scenario (2025 - 2032F)

The fusion of emerging domains such as artificial intelligence, machine learning, robotics, and more advanced imaging technologies will continue improving phenotyping solutions in speed, accuracy, and scalability.

Field phenotyping is expected to be widely adopted in precision agriculture, especially with the increasing demand for real-world large-scale crop data.

The necessity for phenotyping tools seems to increase with the effects of climate change on agriculture, to develop drought-resistant, disease-resistant, and pest-resistant crops.

Key Players Landscape and Outlook

The plant phenotyping market is comprehensive with key players shaping the lines of innovation to create industry trends. Among the companies providing advanced phenotyping technologies, which include high-throughput imaging systems, different sensors, and artificial intelligence machine learning-enabled software platforms, some players particularly focus on combining genetically advanced phenotypes data for improving crop breeding efficiency, while others are developing automated plant traits measurement solutions.

The market seems to have a strong future outlook, mainly attributed to rising demands for precision agriculture and climate-resilient crops. The market leaders are most likely to extend their offerings and forge strategic partnerships with various research institutions and agtech firms, as the agricultural sector transforms. Collaborations and acquisitions form an integral part of the market's professional landscape. In June 2023, Hiphen SA acquired SlantRange, Inc. in order to become the world's top supplier of cutting-edge crop measurement and prediction solutions to crop science firms and agricultural organizations. The merged business would conduct business internationally under Hiphen brand name and expedite the release of new instruments that precisely and effectively measure and forecast plant development in response to environmental, genetic, and management factors. The organization would want to use data science and remote sensing techniques to support future advancements in the sustainability and efficiency of food production worldwide.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Demographics (Income - Low, Mid and High; Geography; Nationality; etc.)
• 4.2. Market Awareness and Product Information
• 4.3. Brand Awareness and Loyalty
• 4.4. Factors Considered in Purchase Decision
  • 4.4.1. Cost
  • 4.4.2. Technology Capabilities
  • 4.4.3. Accuracy and Precision
  • 4.4.4. Scalability
  • 4.4.5. Ease of Integration
  • 4.4.6. Data Management Features
  • 4.4.7. Software Compatibility
  • 4.4.8. Customer Support and Service
  • 4.4.9. Brand Reputation
  • 4.4.10. Product Reliability
  • 4.4.11. Maintenance Requirements
  • 4.4.12. Return on Investment (ROI)
  • 4.4.13. Innovation and Updates
  • 4.4.14. User-friendliness
  • 4.4.15. Sustainability and Environmental Impact
• 4.5. Purchase Channel
• 4.6. Frequency of Purchase
• 4.7. Existing or Intended User

5. Global Plant Phenotyping Market Outlook, 2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Type
    • 5.2.1.1. Product
      • 5.2.1.1.1. Software
      • 5.2.1.1.2. Equipment
      • 5.2.1.1.3. Sensor
    • 5.2.1.2. Services
  • 5.2.2. By Application
    • 5.2.2.1. Field
    • 5.2.2.2. Laboratory
    • 5.2.2.3. Greenhouse
  • 5.2.3. By Region
    • 5.2.3.1. North America
    • 5.2.3.2. Europe
    • 5.2.3.3. Asia-Pacific
    • 5.2.3.4. South America
    • 5.2.3.5. Middle East and Africa
  • 5.2.4. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 5.3. Market Map Analysis, 2024
  • 5.3.1. By Type
  • 5.3.2. By Application
  • 5.3.3. By Region

6. North America Plant Phenotyping Market Outlook, 2018-2032F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Type
    • 6.2.1.1. Product
      • 6.2.1.1.1. Software
      • 6.2.1.1.2. Equipment
      • 6.2.1.1.3. Sensor
    • 6.2.1.2. Services
  • 6.2.2. By Application
    • 6.2.2.1. Field
    • 6.2.2.2. Laboratory
    • 6.2.2.3. Greenhouse
  • 6.2.3. By Country Share
    • 6.2.3.1. United States
    • 6.2.3.2. Canada
    • 6.2.3.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Plant Phenotyping Market Outlook, 2018-2032F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Type
        • 6.3.1.2.1.1. Product
        • 6.3.1.2.1.1.1. Software
        • 6.3.1.2.1.1.2. Equipment
        • 6.3.1.2.1.1.3. Sensor
        • 6.3.1.2.1.2. Services
      • 6.3.1.2.2. By Application
        • 6.3.1.2.2.1. Field
        • 6.3.1.2.2.2. Laboratory
        • 6.3.1.2.2.3. Greenhouse
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Plant Phenotyping Market Outlook, 2018-2032F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Plant Phenotyping Market Outlook, 2018-2032F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Plant Phenotyping Market Outlook, 2018-2032F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Plant Phenotyping Market Outlook, 2018-2032F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Regulatory Landscape

12. Demand Supply Analysis

13. Value Chain Analysis

14. Porter's Five Forces Analysis

15. PESTLE Analysis

16. Macro-economic Indicators

17. Pricing Analysis

18. Profit Margin Analysis

19. Market Dynamics

• 19.1. Market Drivers
• 19.2. Market Challenges

20. Market Trends and Developments

21. Case Studies

22. Competitive Landscape

• 22.1. Competition Matrix of Top 5 Market Leaders
• 22.2. Company Ecosystem Analysis (Startup v/s SME v/s Large-scale)
• 22.3. SWOT Analysis for Top 5 Players
• 22.4. Key Players Landscape for Top 10 Market Players
  • 22.4.1. LemnaTec GmbH
    • 22.4.1.1. Company Details
    • 22.4.1.2. Key Management Personnel
    • 22.4.1.3. Products and Services
    • 22.4.1.4. Financials (As Reported)
    • 22.4.1.5. Key Market Focus and Geographical Presence
    • 22.4.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 22.4.2. Heinz Walz GmbH
  • 22.4.3. Keygene N.V.
  • 22.4.4. Delta-T Devices Ltd
  • 22.4.5. Qubit Systems Inc.
  • 22.4.6. PSI (Photon Systems Instruments) spol. s r.o.
  • 22.4.7. CropX Technologies Ltd.
  • 22.4.8. Vaisala Oyj
  • 22.4.9. Hiphen SA
  • 22.4.10. Boyce Thompson Institute

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

23. Strategic Recommendations

24. About Us and Disclaimer