1 Markets
1.1 Industry Outlook
1.1.1 Market Definition
1.1.2 Supply Chain Network
1.1.3 Industry Attractiveness
1.1.3.1 Threat of New Entrants (Medium)
1.1.3.2 Bargaining Power of Buyers (Medium)
1.1.3.3 Bargaining Power of Suppliers (Medium-High)
1.1.3.4 Threat of Substitutes (Medium-High)
1.1.3.5 Intensity of Competitive Rivalry (Medium)
1.1.4 PESTLE Analysis
1.1.4.1 Political Factors (High)
1.1.4.2 Economic Factors (Medium)
1.1.4.3 Social Factors (High)
1.1.4.4 Technological Factors (Medium)
1.1.4.5 Legal Factors (Low)
1.1.4.6 Environmental Factors (Low)
1.1.5 Gap Analysis
1.1.6 Patent Analysis
1.1.6.1 Patent Analysis (by Status)
1.1.6.2 Patents Analysis (by Organization)
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Increased Global Food Safety Concerns
1.2.1.2 Increased Global Food Demand
1.2.1.3 Retrieving Soil Properties
1.2.1.4 Increased Crop Failure Incidents in Conventional Farming
1.2.2 Business Challenges
1.2.2.1 High Volume of Produced Data
1.2.2.2 High Cost of Equipment
1.2.3 Business Strategies
1.2.3.1 Product Development
1.2.3.2 Market Developments
1.2.4 Corporate Strategies
1.2.4.1 Mergers and Acquisitions
1.2.4.2 Partnerships, Collaborations, and Joint Ventures
1.2.4.3 Others
1.2.5 Business Opportunities
1.2.5.1 Increased Emphasis on Precision Farming
1.2.5.2 Increased Emphasis on Sustainable Development

2 Application
2.1 Global Hyperspectral Imaging in Agriculture Market (by Application)
2.1.1 Vegetation Mapping
2.1.2 Crop Disease Monitoring
2.1.3 Stress Detection
2.1.4 Yield Estimation
2.1.5 Impurity Detection
2.1.6 Others
2.2 Demand Analysis of the Global Hyperspectral Imaging in Agriculture Market (by Application)

3 Products
3.1 Global Hyperspectral Imaging in Agriculture Market (by Product)
3.1.1 Camera
3.1.2 Artificial Light Source
3.1.3 Image Processor
3.1.4 Others
3.2 Demand Analysis of the Global Hyperspectral Imaging in Agriculture Market (by Product)

4 Region
4.1 North America
4.1.1 Market
4.1.1.1 Key Manufacturers in North America
4.1.1.2 Business Drivers
4.1.1.3 Business Challenges
4.1.2 Application
4.1.2.1 North America Hyperspectral Imaging in Agriculture Market (by Application)
4.1.3 Product
4.1.3.1 North America Hyperspectral Imaging in Agriculture Market (by Product)
4.1.4 North America (by Country)
4.1.4.1 U.S.
4.1.4.1.1 Market
4.1.4.1.1.1 Buyer Attributes
4.1.4.1.1.2 Key Manufacturers Operating in the U.S.
4.1.4.1.1.3 Business Challenges
4.1.4.1.1.4 Business Drivers
4.1.4.2 Canada
4.1.4.2.1 Market
4.1.4.2.1.1 Buyer Attributes
4.1.4.2.1.2 Key Manufacturers Operating in Canada
4.1.4.2.1.3 Business Challenges
4.1.4.2.1.4 Business Drivers
4.1.4.3 Mexico
4.1.4.3.1 Market
4.1.4.3.1.1 Buyer Attributes
4.1.4.3.1.2 Key Manufacturers Operating in Mexico
4.1.4.3.1.3 Business Challenges
4.1.4.3.1.4 Business Drivers
4.2 South America
4.2.1 Market
4.2.1.1 Key Manufacturers in South America
4.2.1.2 Business Drivers
4.2.1.3 Business Challenges
4.2.2 Application
4.2.2.1 South America Hyperspectral Imaging in Agriculture Market (by Application)
4.2.3 Product
4.2.3.1 South America Hyperspectral Imaging in Agriculture Market (by Product)
4.2.4 South America (by Country)
4.2.4.1 Brazil
4.2.4.1.1 Market
4.2.4.1.1.1 Buyer Attributes
4.2.4.1.1.2 Key Manufacturers Operating in Brazil
4.2.4.1.1.3 Business Challenges
4.2.4.1.1.4 Business Drivers
4.2.4.2 Rest-of-South America
4.2.4.2.1 Market
4.2.4.2.1.1 Buyer Attributes
4.2.4.2.1.2 Key Manufacturers Operating in Rest-of-South America
4.2.4.2.1.3 Business Challenges
4.2.4.2.1.4 Business Drivers
4.3 Europe
4.3.1 Market
4.3.1.1 Key Manufacturers in Europe
4.3.1.2 Business Drivers
4.3.1.3 Business Challenges
4.3.2 Application
4.3.2.1 Europe Hyperspectral Imaging in Agriculture Market (by Application)
4.3.3 Product
4.3.3.1 Europe Hyperspectral Imaging in Agriculture Market (by Product)
4.3.4 Europe (by Country)
4.3.4.1 Germany
4.3.4.1.1 Market
4.3.4.1.1.1 Buyer Attributes
4.3.4.1.1.2 Key Manufacturers Operating in Germany
4.3.4.1.1.3 Business Challenges
4.3.4.1.1.4 Business Drivers
4.3.4.2 France
4.3.4.2.1 Market
4.3.4.2.1.1 Buyer Attributes
4.3.4.2.1.2 Key Manufacturers Operating in France
4.3.4.2.1.3 Business Challenges
4.3.4.2.1.4 Business Drivers
4.3.4.3 Spain
4.3.4.3.1 Market
4.3.4.3.1.1 Buyer Attributes
4.3.4.3.1.2 Key Manufacturers Operating in Spain
4.3.4.3.1.3 Business Challenges
4.3.4.3.1.4 Business Drivers
4.3.4.4 Rest-of-Europe
4.3.4.4.1 Market
4.3.4.4.1.1 Buyer Attributes
4.3.4.4.1.2 Key Manufacturers Operating in Rest-of-Europe
4.3.4.4.1.3 Business Challenges
4.3.4.4.1.4 Business Drivers
4.4 U.K.
4.4.1 Markets
4.4.1.1 Buyer Attributes
4.4.1.2 Key Manufacturers in the U.K.
4.4.1.3 Business Challenges
4.4.1.4 Business Drivers
4.4.2 Application
4.4.2.1 U.K. Hyperspectral Imaging in Agriculture Market (by Application)
4.4.3 Product
4.4.3.1 U.K. Hyperspectral Imaging in Agriculture Market (by Product)
4.5 Middle East and Africa
4.5.1 Market
4.5.1.1 Key Manufacturers in Middle East and Africa
4.5.1.2 Business Drivers
4.5.1.3 Business Challenges
4.5.2 Application
4.5.2.1 Middle East and Africa Hyperspectral Imaging in Agriculture Market (by Application)
4.5.3 Product
4.5.3.1 Middle East and Africa Hyperspectral Imaging in Agriculture Market (by Product)
4.5.4 Middle East and Africa (by Country)
4.5.4.1 South Africa
4.5.4.1.1 Market
4.5.4.1.1.1 Buyer Attributes
4.5.4.1.1.2 Key Manufacturers Operating in South Africa
4.5.4.1.1.3 Business Challenges
4.5.4.1.1.4 Business Drivers
4.5.4.2 Rest-of-Middle East and Africa
4.5.4.2.1 Market
4.5.4.2.1.1 Buyer Attributes
4.5.4.2.1.2 Key Manufacturers Operating in Rest-of-Middle East and Africa
4.5.4.2.1.3 Business Challenges
4.5.4.2.1.4 Business Drivers
4.6 China
4.6.1 Markets
4.6.1.1 Buyer Attributes
4.6.1.2 Key Manufacturers in China
4.6.1.3 Business Challenges
4.6.1.4 Business Drivers
4.6.2 Application
4.6.2.1 China Hyperspectral Imaging in Agriculture Market (by Application)
4.6.3 Product
4.6.3.1 China Hyperspectral Imaging in Agriculture Market (by Product)
4.7 Asia-Pacific
4.7.1 Market
4.7.1.1 Key Manufacturers in Asia-Pacific
4.7.1.2 Business Drivers
4.7.1.3 Business Challenges
4.7.2 Application
4.7.2.1 Asia-Pacific Hyperspectral Imaging in Agriculture Market (by Application)
4.7.3 Product
4.7.3.1 Asia-Pacific Hyperspectral Imaging in Agriculture Market (by Product)
4.7.4 Asia-Pacific (by Country)
4.7.4.1 Japan
4.7.4.1.1 Market
4.7.4.1.1.1 Buyer Attributes
4.7.4.1.1.2 Key Manufacturers Operating in Japan
4.7.4.1.1.3 Business Challenges
4.7.4.1.1.4 Business Drivers
4.7.4.2 India
4.7.4.2.1 Market
4.7.4.2.1.1 Buyer Attributes
4.7.4.2.1.2 Key Manufacturers Operating in India
4.7.4.2.1.3 Business Challenges
4.7.4.2.1.4 Business Drivers
4.7.4.3 South Korea
4.7.4.3.1 Market
4.7.4.3.1.1 Buyer Attributes
4.7.4.3.1.2 Key Manufacturers Operating in South Korea
4.7.4.3.1.3 Business Challenges
4.7.4.3.1.4 Business Drivers
4.7.4.4 Rest-of-Asia-Pacific
4.7.4.4.1 Market
4.7.4.4.1.1 Buyer Attributes
4.7.4.4.1.2 Key Manufacturers Operating in Rest-of-Asia Pacific
4.7.4.4.1.3 Business Challenges
4.7.4.4.1.4 Business Drivers

5 Markets - Competitive Benchmarking & Company Profiles
5.1 Competitive Benchmarking
5.2 Company Profile
5.2.1 Analytik Ltd.
5.2.1.1 Company Overview
5.2.1.1.1 Role of Analytik Ltd. in Global Hyperspectral Imaging in Agriculture Market
5.2.1.1.2 Product Portfolio
5.2.1.2 Strengths and Weaknesses of Analytik Ltd.
5.2.2 BaySpec, Inc.
5.2.2.1 Company Overview
5.2.2.1.1 Role of BaySpec, Inc. in Global Hyperspectral Imaging in Agriculture Market
5.2.2.1.2 Product Portfolio
5.2.2.2 Strengths and Weaknesses of BaySpec, Inc.
5.2.3 Corning Incorporated
5.2.3.1 Company Overview
5.2.3.1.1 Role of Corning Incorporated in Global Hyperspectral Imaging in Agriculture Market
5.2.3.1.2 Product Portfolio
5.2.3.2 Strengths and Weaknesses of Corning Incorporated
5.2.3.3 R&D Analysis
5.2.4 Cubert GmbH
5.2.4.1 Company Overview
5.2.4.1.1 Role of Cubert GmbH in Global Hyperspectral Imaging in Agriculture Market
5.2.4.1.2 Product Portfolio
5.2.4.2 Strengths and Weaknesses of Cubert GmbH
5.2.5 FluroSat
5.2.5.1 Company Overview
5.2.5.1.1 Role of FluroSat in Global Hyperspectral Imaging in Agriculture Market
5.2.5.1.2 Product Portfolio
5.2.5.2 Business Strategies
5.2.5.2.1 Product Developments
5.2.5.3 Corporate Strategies
5.2.5.3.1 Partnership and Joint Venture
5.2.5.4 Strengths and Weaknesses of FluroSat
5.2.6 Gamaya
5.2.6.1 Company Overview
5.2.6.1.1 Role of Gamaya in Global Hyperspectral Imaging in Agriculture Market
5.2.6.1.2 Product Portfolio
5.2.6.2 Corporate Strategies
5.2.6.2.1 Collaborations and Alliances
5.2.6.3 Strengths and Weaknesses of Gamaya
5.2.7 HAIP Solution GmbH
5.2.7.1 Company Overview
5.2.7.1.1 Role of HAIP Solution GmbH in Global Hyperspectral Imaging in Agriculture Market
5.2.7.1.2 Product Portfolio
5.2.7.2 Corporate Strategies
5.2.7.2.1 Partnership and Joint Venture
5.2.7.3 Strengths and Weaknesses of HAIP Solution GmbH
5.2.8 Imec
5.2.8.1 Company Overview
5.2.8.1.1 Role of Imec in Global Hyperspectral Imaging in Agriculture Market
5.2.8.1.2 Product Portfolio
5.2.8.2 Strengths and Weaknesses of Imec
5.2.9 ImpactVision
5.2.9.1 Company Overview
5.2.9.1.1 Role of ImpactVision in Global Hyperspectral Imaging in Agriculture Market
5.2.9.1.2 Product Portfolio
5.2.9.2 Strengths and Weaknesses of ImpactVision
5.2.10 Inno-spec GmbH
5.2.10.1 Company Overview
5.2.10.1.1 Role of Inno-spec GmbH in Global Hyperspectral Imaging in Agriculture Market
5.2.10.1.2 Product Portfolio
5.2.10.2 Strengths and Weaknesses of Inno-spec GmbH
5.2.11 INO
5.2.11.1 Company Overview
5.2.11.1.1 Role of INO in Global Hyperspectral Imaging in Agriculture Market
5.2.11.1.2 Product Portfolio
5.2.11.2 Strengths and Weaknesses of INO
5.2.12 Malvern Panalytical Ltd
5.2.12.1 Company Overview
5.2.12.1.1 Role of Malvern Panalytical Ltd in Global Hyperspectral Imaging in Agriculture Market
5.2.12.1.2 Product Portfolio
5.2.12.2 Business Strategies
5.2.12.2.1 Product Developments
5.2.12.3 Corporate Strategies
5.2.12.3.1 Partnership and Joint Venture
5.2.12.4 Strengths and Weaknesses of Malvern Panalytical Ltd
5.2.13 Resonon Inc.
5.2.13.1 Company Overview
5.2.13.1.1 Role of Resonon Inc. in Global Hyperspectral Imaging in Agriculture Market
5.2.13.1.2 Product Portfolio
5.2.13.2 Corporate Strategies
5.2.13.2.1 Partnership and Joint Venture
5.2.13.3 Strengths and Weaknesses of Resonon Inc.
5.2.14 Surface Optics Corporation
5.2.14.1 Company Overview
5.2.14.1.1 Role of Surface Optics Corporation in Global Hyperspectral Imaging in Agriculture Market
5.2.14.1.2 Product Portfolio
5.2.14.2 Corporate Strategies
5.2.14.2.1 Partnerships and Joint Ventures
5.2.14.3 Strengths and Weaknesses of Surface Optics Corporation
5.2.15 Teledyne FLIR LLC
5.2.15.1 Company Overview
5.2.15.1.1 Role of Teledyne FLIR LLC in Global Hyperspectral Imaging in Agriculture Market
5.2.15.1.2 Product Portfolio
5.2.15.2 Strengths and Weaknesses of Teledyne FLIR LLC
5.2.16 Other Key Players

6 Research Methodology
6.1 Data Sources
6.1.1 Primary Data Sources
6.1.2 Secondary Data Sources
6.1.3 Data Triangulation
6.2 Market Estimation and Forecast
6.2.1 Factors for Data Prediction and Modelling

List of Figures
Figure 1: Global Hyperspectral Imaging in Agriculture Market, $Million, 2020-2026
Figure 2: Market Drivers and Challenges in Global Hyperspectral Imaging in Agriculture Market
Figure 3: Global Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Figure 4: Global Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Figure 5: Global Hyperspectral Imaging in Agriculture Market (by Region), $Million, 2020
Figure 6: Global Hyperspectral Imaging in Agriculture Market Coverage
Figure 7: Supply Chain Analysis of Global Hyperspectral Imaging in Agriculture Market
Figure 8: Porter's Five Forces Analysis
Figure 9: PESTLE Analysis
Figure 10: Impact of Various Factors on the Hyperspectral Imaging in Agriculture Market
Figure 11: Gaps in Hyperspectral Imaging in Agriculture Market
Figure 12: Gap Analysis for Hyperspectral Imaging in Agriculture Market
Figure 13: Procedure to Overcome Gaps in Hyperspectral Imaging in Agriculture Market
Figure 14: Global Hyperspectral Imaging in Agriculture Patent Trend (2005-2021)
Figure 15: Year-Wise Total Number of Patents for Hyperspectral Imaging in Agriculture (January 2018-July 2021)
Figure 16: Patent Analysis (by Status) (January 2018-July 2021)
Figure 17: Year-Wise Total Patents Filed or Granted for Hyperspectral Imaging in Agriculture (January 2018-July 2021)
Figure 18: Patents Analysis (by Organization) (January 2018-July 2021)
Figure 19: Countries with High Food Loss and Wastage, Kilogram in Million, 2021
Figure 20: Projected Global Population Growth
Figure 21: Global Damage and Loss to Agricultural Sector by Type of Hazard, 2020
Figure 22: Share of Key Market Strategies and Developments, January 2018-June 2021
Figure 23: Product Development (by Company), January 2018-June 2021
Figure 24: Mergers and Acquisitions (by Company), January 2018-June 2021
Figure 25: Partnerships, Collaborations, and Joint Ventures (by Company), January 2018-June 2021
Figure 26: Global Hyperspectral Imaging in Agriculture Market (by Application)
Figure 27: Global Hyperspectral Imaging in Agriculture Market (by Product)
Figure 28: Competitive Market High and Low Matrix
Figure 29: Corning Incorporated: R&D (2017-2019)
Figure 30: Data Triangulation
Figure 31: Top-Down and Bottom-Up Approach
Figure 32: Assumptions and Limitations

List of Tables
Table 1: Key Factors Determining Threat of New Entrants in the Hyperspectral Imaging in Agriculture Market
Table 2: Key Factors Determining Bargaining Power of Buyers in Hyperspectral Imaging in Agriculture Market
Table 3: Key Factors Determining Bargaining Power of Suppliers in Hyperspectral Imaging in Agriculture Market
Table 4: Key Factors Determining Threat of Substitutes in Hyperspectral Imaging in Agriculture Market
Table 5: Key Factors Determining Intensity of Competitive Rivalry in Hyperspectral Imaging in Agriculture Market
Table 6: Key Political Factors in Hyperspectral Imaging in Agriculture Market
Table 7: Key Economic Factors in Hyperspectral Imaging in Agriculture Market
Table 8: Key Social Factors in Hyperspectral Imaging in Agriculture Market
Table 9: Key Technological Factors in Hyperspectral Imaging in Agriculture Market
Table 10: Key Legal Factors in Hyperspectral Imaging in Agriculture Market
Table 11: Key Environmental Factors in Hyperspectral Imaging in Agriculture Market
Table 12: Business Expansions (by Company), January 2018-June 2021
Table 13: Global Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 14: Global Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 15: Global Hyperspectral Imaging in Agriculture Market (by Region), $Million, 2020-2026
Table 16: North America Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 17: North America Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 18: North America Hyperspectral Imaging in Agriculture Market (by Country), $Million, 2020-2026
Table 19: South America Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 20: South America Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 21: South America Hyperspectral Imaging in Agriculture Market (by Country), $Million, 2020-2026
Table 22: Europe Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 23: Europe Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 24: Europe Hyperspectral Imaging in Agriculture Market (by Country), $Million, 2020-2026
Table 25: U.K. Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 26: U.K. Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 27: Middle East and Africa Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 28: Middle East and Africa Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 29: Middle East and Africa Hyperspectral Imaging in Agriculture Market (by Country), $Million, 2020-2026
Table 30: China Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 31: China Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 32: Asia-Pacific Hyperspectral Imaging in Agriculture Market (by Application), $Million, 2020-2026
Table 33: Asia-Pacific Hyperspectral Imaging in Agriculture Market (by Product), $Million, 2020-2026
Table 34: Asia-Pacific Hyperspectral Imaging in Agriculture Market (by Country), $Million, 2020-2026
Table 35: Analytik Ltd.: Product Portfolio
Table 36: BaySpec, Inc.: Product Portfolio
Table 37: Corning Incorporated: Product Portfolio
Table 38: Cubert GmbH: Product Portfolio
Table 39: FluroSat: Product Portfolio
Table 40: FluroSat: Product Developments
Table 41: FluroSat: Partnership and Joint Venture
Table 42: Gamaya: Product Portfolio
Table 43: Gamaya: Collaborations and Alliances
Table 44: HAIP Solution GmbH: Product Portfolio
Table 45: HAIP Solution GmbH: Partnership and Joint Venture
Table 46: Imec: Product Portfolio
Table 47: ImpactVision: Product Portfolio
Table 48: Inno-spec GmbH: Product Portfolio
Table 49: INO: Product Portfolio
Table 50: Malvern Panalytical Ltd: Product Portfolio
Table 51: Malvern Panalytical Ltd: Product Developments
Table 52: Malvern Panalytical Ltd: Partnership and Joint Venture
Table 53: Resonon Inc.: Product Portfolio
Table 54: Resonon Inc.: Partnership and Joint Venture
Table 55: Surface Optics Corporation: Product Portfolio
Table 56: Surface Optics Corporation: Partnerships and Joint Ventures
Table 57: Teledyne FLIR LLC: Product Portfolio
Table 58: Other Key Players in Global Hyperspectral Imaging in Agriculture Market

Companies Mentioned
• Analytik Ltd.
• BaySpec, Inc.
• Corning Incorporated
• Cubert GmbH
• FluroSat
• Gamaya
• HAIP Solution GmbH
• Imec
• ImpactVision
• Inno-spec GmbH
• INO
• Malvern Panalytical Ltd
• Resonon Inc.
• Surface Optics Corporation
• Teledyne FLIR LLC