Global Hyperspectral Imaging in Agriculture Market: Focus on Product, Application, and Country Analysis – Analysis and Forecast, 2020-2026

Table of Contents

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