Plant Phenotyping Market Size, Share & Trends Analysis Report By Product Type (Equipment, Software (Data Acquisition, Image Analysis, System Control, and Others), and Sensors (Image Sensors, NDVI Sensors, Temperature Sensors, and Others)), By Platform/Carrier Type, Automation Type, By Analysis System Type, By Application, By Region, And Segment Forecasts, 2023-2031

Report Id: 1755 Pages: 180 Last Updated: 14 March 2024 Format: PDF / PPT / Excel / Power BI
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Segmentation of Plant Phenotyping Market-

Plant Phenotyping Market By Product-

  • Equipment
  • Software
    • Data acquisition
    • Image analysis
    • System control
    • Others
  • Sensors
    • Image sensors
    • NDVI sensors
    • Temperature sensors
    • Others

 Plant Phenotyping Market

Plant Phenotyping Market By Platform/Carrier Type:

  • Conveyor-based/modular systems
  • Bench-based systems
  • Handheld/Portable systems
  • Drones

Plant Phenotyping Market By Automation Type:

  • Fully automated
  • Semi-automated
  • Manual

Plant Phenotyping Market By Analysis System Type:

  • Image analysis systems
  • Multispectral scientific cameras
  • Canopy analysis systems
  • Fluorometers
  • Others

Plant Phenotyping Market By Application:

  • High-throughput screening
  • Trait identification
  • Photosynthetic performance
  • Morphology and growth assessment
  • Others

Plant Phenotyping Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Plant Phenotyping Market Snapshot

Chapter 4. Global Plant Phenotyping Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Product Type Estimates & Trend Analysis
5.1. by Product Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Product Type:

5.2.1. Equipment

5.2.2. Software

5.2.2.1. Data acquisition
5.2.2.2. Image analysis
5.2.2.3. System control
5.2.2.4. Others

5.2.3. Sensors

5.2.3.1. Image sensors
5.2.3.2. NDVI sensors
5.2.3.3. Temperature sensors
5.2.3.4. Others

Chapter 6. Market Segmentation 2: by Platform/Carrier Type Estimates & Trend Analysis
6.1. by Platform/Carrier Type & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Platform/Carrier Type:

6.2.1. Conveyor-based/modular systems
6.2.2. Bench-based systems
6.2.3. Handheld/Portable systems
6.2.4. Drones

Chapter 7. Market Segmentation 3: by Automation Type Estimates & Trend Analysis
7.1. by Automation Type & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Automation Type:

7.2.1. Fully automated
7.2.2. Semi-automated
7.2.3. Manual

Chapter 8. Market Segmentation 4: by Analysis System Type Estimates & Trend Analysis
8.1. by Analysis System Type & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Analysis System Type:

8.2.1. Image analysis systems
8.2.2. Multispectral scientific cameras
8.2.3. Canopy analysis systems
8.2.4. Fluorometers
8.2.5. Others

Chapter 9. Market Segmentation 5: by Application Estimates & Trend Analysis
9.1. by Application & Market Share, 2019 & 2031
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

9.2.1. High-throughput screening
9.2.2. Trait identification
9.2.3. Photosynthetic performance
9.2.4. Morphology and growth assessment
9.2.5. Others

Chapter 10. Plant Phenotyping Market Segmentation 6: Regional Estimates & Trend Analysis

10.1. North America

10.1.1. North America Plant Phenotyping Market Revenue (US$ Million) Estimates and Forecasts by Product Type, 2023-2031
10.1.2. North America Plant Phenotyping Market Revenue (US$ Million) Estimates and Forecasts by Platform/Carrier Type, 2023-2031
10.1.3. North America Plant Phenotyping Market revenue (US$ Million) by Automation Type, 2023-2031
10.1.4. North America Plant Phenotyping Market revenue (US$ Million) by Analysis System Type, 2023-2031
10.1.5. North America Plant Phenotyping Market revenue (US$ Million) by Application, 2023-2031
10.1.6. North America Plant Phenotyping Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

10.2. Europe

10.2.1. Europe Plant Phenotyping Market revenue (US$ Million) by Product Type, 2023-2031
10.2.2. Europe Plant Phenotyping Market revenue (US$ Million) by Platform/Carrier Type, 2023-2031
10.2.3. Europe Plant Phenotyping Market revenue (US$ Million) by Automation Type, 2023-2031
10.2.4. Europe Plant Phenotyping Market revenue (US$ Million) by Analysis System Type, 2023-2031
10.2.5. Europe Plant Phenotyping Market revenue (US$ Million) by Application, 2023-2031
10.2.6. Europe Plant Phenotyping Market revenue (US$ Million) by country, 2023-2031

10.3. Asia Pacific

10.3.1. Asia Pacific Plant Phenotyping Market revenue (US$ Million) by Product Type, 2023-2031
10.3.2. Asia Pacific Plant Phenotyping Market revenue (US$ Million) by Platform/Carrier Type, 2023-2031
10.3.3. Asia-Pacific Plant Phenotyping Market revenue (US$ Million) by Automation Type, 2023-2031
10.3.4. Asia Pacific Plant Phenotyping Market revenue (US$ Million) by Analysis System Type, 2023-2031
10.3.5. Asia Pacific Plant Phenotyping Market revenue (US$ Million) by Application, 2023-2031
10.3.6. Asia Pacific Plant Phenotyping Market revenue (US$ Million) by country, 2023-2031

10.4. Latin America

10.4.1. Latin America Plant Phenotyping Market revenue (US$ Million) by Product Type, 2023-2031
10.4.2. Latin America Plant Phenotyping Market revenue (US$ Million) by Platform/Carrier Type, 2023-2031
10.4.3. Latin America Plant Phenotyping Market revenue (US$ Million) by Automation Type, 2023-2031
10.4.4. Latin America Plant Phenotyping Market revenue (US$ Million) by Analysis System Type, 2023-2031
10.4.5. Latin America Plant Phenotyping Market revenue (US$ Million) by Application, 2023-2031
10.4.6. Latin America Plant Phenotyping Market revenue (US$ Million) by country, 2023-2031

10.5. Middle East & Africa

10.5.1. Middle East & Africa Plant Phenotyping Market revenue (US$ Million) by Product Type, 2023-2031
10.5.2. Middle East & Africa Plant Phenotyping Market revenue (US$ Million) by Platform/Carrier Type, 2023-2031
10.5.3. Middle East & Africa Plant Phenotyping Market revenue (US$ Million) by Automation Type, 2023-2031
10.5.4. Middle East & Africa Plant Phenotyping Market revenue (US$ Million) by Analysis System Type, 2023-2031
10.5.5. Middle East & Africa Plant Phenotyping Market revenue (US$ Million) by Application, 2023-2031
10.5.6. Middle East & Africa Plant Phenotyping Market revenue (US$ Million) by country, 2023-2031

Chapter 11. Competitive Landscape

11.1. Major Mergers and Acquisitions/Strategic Alliances

11.2. Company Profiles


11.2.1. BASF SE
11.2.2. Cropdesign
11.2.3. Delta-T Devises Ltd.
11.2.4. Heinz Walz Gmbh
11.2.5. Hiphen
11.2.6. Keygene N.V.
11.2.7. Lemnatec (Nynomic Ag)
11.2.8. Phenomix
11.2.9. Photon Systems Instruments
11.2.10. Bex, Co. Ltd.
11.2.11. Plant-DiTech
11.2.12. Qubit Systems Inc.
11.2.13. Rothamsted Research Limited
11.2.14. Vienna BioCenter Core Facilities
11.2.15. WIWAM
11.2.16. WPS B.V.
11.2.17. Other Prominent Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Plant Phenotyping Market Size is valued at 236.13 million in 2022 and is predicted to reach 640.89 million by the year 2031

Plant Phenotyping Market expected to grow at a 11.93% CAGR during the forecast period for 2023-2031

Lemnatec (Nynomic Ag), Delta-T Devices Ltd., Heinz Walz Gmbh, Phenospex, Keygene, Phenomix, Cropdesign, Qubit Systems Inc., Photon Systems Instruments

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