Hyperspectral Imaging In Agriculture Market
PUBLISHED: 2024 ID: SMRC25074
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Hyperspectral Imaging In Agriculture Market

Hyperspectral Imaging in Agriculture Market Forecasts to 2030 - Global Analysis By Product (Image Processor, Artificial Light Source, Camera and Other Products), Type (Visible Light, Mid-wavelength Infrared and Other Types), Application and By Geography

4.4 (36 reviews)
4.4 (36 reviews)
Published: 2024 ID: SMRC25074

This report covers the impact of COVID-19 on this global market
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Years Covered

2021-2030

Estimated Year Value (2023)

US $41.5 MN

Projected Year Value (2030)

US $115.2 MN

CAGR (2023 - 2030)

15.7%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

North America

Highest Growing Market

North America


According to Stratistics MRC, the Global Hyperspectral Imaging in Agriculture Market is accounted for $41.5 million in 2023 and is expected to reach $115.2 million by 2030 growing at a CAGR of 15.7% during the forecast period. Hyperspectral imaging in the agriculture market refers to the advanced technology that captures and processes a broad spectrum of wavelengths beyond the human visual range. One primary use is crop health monitoring, where hyperspectral sensors capture detailed information about the biochemical composition of plants. This allows for early detection of stressors like nutrient deficiencies, diseases, or pest infestations, enabling farmers to implement targeted interventions. 

According to the American Cancer Society, in 2023, it was estimated that there would be nearly 935 thousand new cancer cases among women in the United States.

Market Dynamics: 

Driver: 

Increasing adoption of precision agriculture

Precision agriculture involves the utilization of advanced technologies to optimize farming practices, emphasizing data-driven decision-making for efficient resource utilization and enhanced crop management. Hyperspectral imaging plays a crucial role in this landscape by offering a comprehensive and detailed view of crops. Its ability to capture and analyze a broad spectrum of wavelengths enables precise monitoring of crop health, early detection of diseases, and identification of stress factors. Moreover, as farmers strive to maximize yields while minimizing inputs, hyperspectral imaging provides them with the necessary tools to monitor fields with unparalleled granularity.

Restraint:

High initial costs

The deployment of hyperspectral imaging technology necessitates substantial upfront investments, encompassing the purchase of specialized sensors, imaging equipment, and associated infrastructure. These costs can be prohibitive for smaller or resource-constrained agricultural enterprises, hindering their ability to integrate this advanced technology into their farming practices. However, the initial expenses extend beyond equipment acquisition to include training programs for operators and technicians proficient in handling hyperspectral data. As a result, the economic barrier poses a challenge to the technology's accessibility, limiting its adoption primarily to larger farms with greater financial capacity.

Opportunity:

Rising need for crop disease management

As global agriculture faces escalating challenges from diverse crop diseases that threaten yield and food security, hyperspectral imaging stands out as a crucial technology for early and accurate disease detection. With its ability to capture detailed spectral information, hyperspectral imaging enables farmers to identify subtle changes in plant physiology associated with diseases before visible symptoms manifest. Additionally, this early detection empowers timely and targeted interventions, such as precise application of pesticides or adjustments in irrigation, minimizing crop losses and optimizing resource utilization.

Threat:

Data security concerns

The extensive and sensitive nature of hyperspectral data, encompassing details about crop health, soil conditions, and farming practices, raises apprehensions regarding privacy and unauthorized access. Farmers and agricultural stakeholders may be reluctant to embrace hyperspectral imaging technology due to fears of data breaches, potential misuse, or unauthorized disclosure of proprietary information. As data protection regulations become more stringent, the need for robust security measures and compliance with privacy standards adds complexity and cost to the adoption of hyperspectral imaging solutions.

Covid-19 Impact: 

While the agriculture sector continued to be essential, disruptions in supply chains, labor shortages, and economic uncertainties slowed down the adoption of advanced technologies, including hyperspectral imaging. The pandemic-induced economic challenges led some farmers to prioritize essential investments over innovative solutions. However, on the positive side, the crisis underscored the importance of technology in ensuring food security and optimizing agricultural practices. As the industry gradually recovers, there is potential for an increased focus on resilient and technology-driven agriculture.

The image processor segment is expected to be the largest during the forecast period

Image Processor segment commanded the largest share of the market over the extrapolated period, due to the efficiency and effectiveness of data analysis. As hyperspectral imaging generates vast amounts of complex spectral data, advanced image processors are instrumental in rapidly and accurately extracting valuable information. These processors employ sophisticated algorithms to interpret spectral signatures, identify crop health indicators, and detect anomalies such as diseases or nutrient deficiencies. The continuous advancements in image processing technology further enable real-time analysis, allowing farmers to make prompt and informed decisions regarding crop management. 

The long wavelength infrared segment is expected to have the highest CAGR during the forecast period

Long Wavelength Infrared segment is poised to witness profitable growth throughout the projection period. LWIR hyperspectral imaging enables the detection of subtle temperature variations across the agricultural landscape, providing valuable insights into plant health and stress levels. This segment proves particularly advantageous for identifying water stress, disease manifestations, and other physiological anomalies that may not be apparent in visible or near-infrared spectra. The thermal information captured by LWIR sensors aids in early detection of issues, allowing farmers to implement timely interventions.

Region with largest share:

Owing to a combination of technological innovation, widespread adoption of precision agriculture, and a robust focus on sustainable farming practices, North America region is expected to dominate the largest share over the forecast period. The region's agriculture sector has embraced hyperspectral imaging for its unparalleled capability to provide detailed insights into crop health, disease detection, and resource optimization. In the United States and Canada, where large-scale commercial farming is prevalent, the need for advanced technologies to enhance productivity and mitigate environmental impact has fueled the adoption of hyperspectral imaging.

Region with highest CAGR:

North America region is witnessing the substantial growth in the market during the estimation period. Government agencies in the United States and Canada are actively supporting initiatives aimed at modernizing the agriculture sector, improving crop monitoring, and ensuring environmental sustainability. Regulatory bodies are providing incentives, subsidies, and grants to encourage farmers to invest in advanced technologies like hyperspectral imaging for precise crop management. Furthermore, compliance with environmental regulations and the growing emphasis on reducing the ecological impact of farming have prompted agricultural stakeholders to adopt innovative solutions that can enhance efficiency while minimizing resource use.

Key players in the market

Some of the key players in Hyperspectral Imaging in Agriculture market include BaySpec Inc, Galileo Group Inc, Headwall Photonics Inc., Norsk Elektro Optikk, Shenzhen Wayho Technology, Specim Spectral Imaging Ltd., Surface Optics Corporation, Teledyne Technologies Incorporated, MicaSense, Inc, Tetracam Inc and ZEISS Group.

Key Developments:

In September 2023, Galileo Releases the First LLM Evaluation, Experimentation and Observability Platform for Building Trustworthy Production-Ready LLM Applications.

In November 2022, Pixxel was scheduling the launch of its third hyperspectral satellite, Anand, from the Sriharikota spaceport using ISRO's Polar Satellite Launch Vehicle (PSLV). The satellite's imagery can detect pest infestation, map forest fires, and identify soil stress and hydrocarbon spills.

In July 2022, Pixxel, an emerging pioneer in cutting-edge earth-imaging technology, partnered with Australian cloud-based agritech firm DataFarming. Using Pixxel's hyperspectral dataset, DataFarming will be able to monitor crop health for tens of thousands of producers at new speeds and higher resolutions compared to multispectral imaging.

Products Covered:
• Image Processor
• Artificial Light Source
• Camera
• Other Products 

Types Covered:
• Visible Light
• Mid-wavelength Infrared
• Shortwave Infrared
• Long Wavelength Infrared
• Pushbroom Hyperspectral Imaging
• Snapshot Hyperspectral Imaging
• UV (Ultraviolet) Hyperspectral Imaging
• Other Types

Applications Covered:
• Vegetation Mapping
• Stress Detection
• Impurity Detection
• Crop Disease Monitoring
• Yield Estimation
• Other Applications

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings: 
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary     
      
2 Preface     
 2.1 Abstract    
 2.2 Stake Holders    
 2.3 Research Scope    
 2.4 Research Methodology    
  2.4.1 Data Mining   
  2.4.2 Data Analysis   
  2.4.3 Data Validation   
  2.4.4 Research Approach   
 2.5 Research Sources    
  2.5.1 Primary Research Sources   
  2.5.2 Secondary Research Sources   
  2.5.3 Assumptions   
      
3 Market Trend Analysis     
 3.1 Introduction    
 3.2 Drivers    
 3.3 Restraints    
 3.4 Opportunities    
 3.5 Threats    
 3.6 Product Analysis    
 3.7 Application Analysis    
 3.8 Emerging Markets    
 3.9 Impact of Covid-19    
      
4 Porters Five Force Analysis     
 4.1 Bargaining power of suppliers    
 4.2 Bargaining power of buyers    
 4.3 Threat of substitutes    
 4.4 Threat of new entrants    
 4.5 Competitive rivalry    
      
5 Global Hyperspectral Imaging in Agriculture Market, By Product     
 5.1 Introduction    
 5.2 Image Processor    
  5.2.1 Spectral Analysis and Visualization Software   
  5.2.2 Software for Data Acquisition   
  5.2.3 Other Image Processors   
 5.3 Artificial Light Source    
  5.3.1 Flash Lamps   
  5.3.2 LED Lighting Systems   
  5.3.3 Other Artificial Light Sources   
 5.4 Camera    
  5.4.1 UAV/drone-mounted cameras   
  5.4.2 Multispectral Cameras   
  5.4.3 Spectral Sensors   
  5.4.4 Other Cameras   
 5.5 Other Products    
      
6 Global Hyperspectral Imaging in Agriculture Market, By Type     
 6.1 Introduction    
 6.2 Visible Light    
 6.3 Mid-wavelength Infrared    
 6.4 Shortwave Infrared    
 6.5 Long Wavelength Infrared    
 6.6 Pushbroom Hyperspectral Imaging    
 6.7 Snapshot Hyperspectral Imaging    
 6.8 UV (Ultraviolet) Hyperspectral Imaging    
 6.9 Other Types    
      
7 Global Hyperspectral Imaging in Agriculture Market, By Application     
 7.1 Introduction    
 7.2 Vegetation Mapping    
 7.3 Stress Detection    
 7.4 Impurity Detection    
 7.5 Crop Disease Monitoring    
 7.6 Yield Estimation    
 7.7 Other Applications    
      
8 Global Hyperspectral Imaging in Agriculture Market, By Geography     
 8.1 Introduction    
 8.2 North America    
  8.2.1 US   
  8.2.2 Canada   
  8.2.3 Mexico   
 8.3 Europe    
  8.3.1 Germany   
  8.3.2 UK   
  8.3.3 Italy   
  8.3.4 France   
  8.3.5 Spain   
  8.3.6 Rest of Europe   
 8.4 Asia Pacific    
  8.4.1 Japan   
  8.4.2 China   
  8.4.3 India   
  8.4.4 Australia   
  8.4.5 New Zealand   
  8.4.6 South Korea   
  8.4.7 Rest of Asia Pacific   
 8.5 South America    
  8.5.1 Argentina   
  8.5.2 Brazil   
  8.5.3 Chile   
  8.5.4 Rest of South America   
 8.6 Middle East & Africa    
  8.6.1 Saudi Arabia   
  8.6.2 UAE   
  8.6.3 Qatar   
  8.6.4 South Africa   
  8.6.5 Rest of Middle East & Africa   
      
9 Key Developments     
 9.1 Agreements, Partnerships, Collaborations and Joint Ventures    
 9.2 Acquisitions & Mergers    
 9.3 New Product Launch    
 9.4 Expansions    
 9.5 Other Key Strategies    
      
10 Company Profiling     
 10.1 BaySpec Inc    
 10.2 Galileo Group Inc    
 10.3 Headwall Photonics Inc.    
 10.4 Norsk Elektro Optikk    
 10.5 Shenzhen Wayho Technology    
 10.6 Specim Spectral Imaging Ltd.    
 10.7 Surface Optics Corporation    
 10.8 Teledyne Technologies Incorporated    
 10.9 MicaSense, Inc    
 10.10 Tetracam Inc    
 10.11 ZEISS Group    
      
List of Tables      
1 Global Hyperspectral Imaging in Agriculture Market Outlook, By Region (2021-2030) ($MN)     
2 Global Hyperspectral Imaging in Agriculture Market Outlook, By Product (2021-2030) ($MN)     
3 Global Hyperspectral Imaging in Agriculture Market Outlook, By Image Processor (2021-2030) ($MN)     
4 Global Hyperspectral Imaging in Agriculture Market Outlook, By Spectral Analysis and Visualization Software (2021-2030) ($MN)     
5 Global Hyperspectral Imaging in Agriculture Market Outlook, By Software for Data Acquisition (2021-2030) ($MN)     
6 Global Hyperspectral Imaging in Agriculture Market Outlook, By Other Image Processors (2021-2030) ($MN)     
7 Global Hyperspectral Imaging in Agriculture Market Outlook, By Artificial Light Source (2021-2030) ($MN)     
8 Global Hyperspectral Imaging in Agriculture Market Outlook, By Flash Lamps (2021-2030) ($MN)     
9 Global Hyperspectral Imaging in Agriculture Market Outlook, By LED Lighting Systems (2021-2030) ($MN)     
10 Global Hyperspectral Imaging in Agriculture Market Outlook, By Other Artificial Light Sources (2021-2030) ($MN)     
11 Global Hyperspectral Imaging in Agriculture Market Outlook, By Camera (2021-2030) ($MN)     
12 Global Hyperspectral Imaging in Agriculture Market Outlook, By UAV/drone-mounted cameras (2021-2030) ($MN)     
13 Global Hyperspectral Imaging in Agriculture Market Outlook, By Multispectral Cameras (2021-2030) ($MN)     
14 Global Hyperspectral Imaging in Agriculture Market Outlook, By Spectral Sensors (2021-2030) ($MN)     
15 Global Hyperspectral Imaging in Agriculture Market Outlook, By Other Cameras (2021-2030) ($MN)     
16 Global Hyperspectral Imaging in Agriculture Market Outlook, By Other Products (2021-2030) ($MN)     
17 Global Hyperspectral Imaging in Agriculture Market Outlook, By Type (2021-2030) ($MN)     
18 Global Hyperspectral Imaging in Agriculture Market Outlook, By Visible Light (2021-2030) ($MN)     
19 Global Hyperspectral Imaging in Agriculture Market Outlook, By Mid-wavelength Infrared (2021-2030) ($MN)     
20 Global Hyperspectral Imaging in Agriculture Market Outlook, By Shortwave Infrared (2021-2030) ($MN)     
21 Global Hyperspectral Imaging in Agriculture Market Outlook, By Long Wavelength Infrared (2021-2030) ($MN)     
22 Global Hyperspectral Imaging in Agriculture Market Outlook, By Pushbroom Hyperspectral Imaging (2021-2030) ($MN)     
23 Global Hyperspectral Imaging in Agriculture Market Outlook, By Snapshot Hyperspectral Imaging (2021-2030) ($MN)     
24 Global Hyperspectral Imaging in Agriculture Market Outlook, By UV (Ultraviolet) Hyperspectral Imaging (2021-2030) ($MN)     
25 Global Hyperspectral Imaging in Agriculture Market Outlook, By Other Types (2021-2030) ($MN)     
26 Global Hyperspectral Imaging in Agriculture Market Outlook, By Application (2021-2030) ($MN)     
27 Global Hyperspectral Imaging in Agriculture Market Outlook, By Vegetation Mapping (2021-2030) ($MN)     
28 Global Hyperspectral Imaging in Agriculture Market Outlook, By Stress Detection (2021-2030) ($MN)     
29 Global Hyperspectral Imaging in Agriculture Market Outlook, By Impurity Detection (2021-2030) ($MN)     
30 Global Hyperspectral Imaging in Agriculture Market Outlook, By Crop Disease Monitoring (2021-2030) ($MN)     
31 Global Hyperspectral Imaging in Agriculture Market Outlook, By Yield Estimation (2021-2030) ($MN)     
32 Global Hyperspectral Imaging in Agriculture Market Outlook, By Other Applications (2021-2030) ($MN)     
      
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.      

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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