Global Smart Agriculture Sensors

Smart Agriculture Sensors Comprehensive Study by Type (Humidity Sensor, Electrochemical Sensor, Mechanical Sensor, Optical Sensor, Pressure Sensor, Water Sensor, Soil Sensor, Livestock Sensor, Others), Application (Dairy Management, Soil Management, Climate Management, Water Management) Players and Region - Global Market Outlook to 2027

Smart Agriculture Sensors Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Smart Agriculture Sensors Market Scope
Active sensors are smart agriculture sensors that emit a light source onto the plant canopy while also measuring the percentage of light reflected from the canopy toward the sensor. Precision farming, also known as smart farming, enables farmers to maximize yields while using fewer resources. These sensors aid in the understanding of plants at the microscale, allowing for the conservation of resources and the reduction of environmental pollution. Many sensor technologies are used in precision agriculture, providing data to farmers to help them monitor and optimize crop yield. Mostly smart agriculture sensors are used for helping small farming and it is positively impacted on the global market.

The Smart Agriculture Sensors market study is segmented by Type (Humidity Sensor, Electrochemical Sensor, Mechanical Sensor, Optical Sensor, Pressure Sensor, Water Sensor, Soil Sensor, Livestock Sensor and Others), by Application (Dairy Management, Soil Management, Climate Management and Water Management) and major geographies with country level break-up.

The global smart agricultural sensor market is fragmented, with numerous small and medium-sized companies and a few large players, resulting in fierce market competition. The development of regional markets and local players in various parts of the world is a major contributor to the market's fragmentation. The two regions with the most competitor activity are North America and Asia-Pacific. The players are expanding into new geographies through acquisitions and mergers to gain a competitive advantage through combined synergies.

Vishay (United States), Honeywell (United States), Texas Instruments (United States), Auroras s.r.l. (Italy), Edyn (United States), Bosch (Germany), Libelium (Spain), Sol Chip Ltd (Israel), Acclima (United States) and CropX Inc (Israel) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Trimble Inc (United States), Sentera, LLC. (United States) and The Yield Pty Ltd (Australia).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
AMA Research has segmented the market of Global Smart Agriculture Sensors market by Type, Application and Region.

On the basis of geography, the market of Smart Agriculture Sensors has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

In Jan 2021, Honeywell introduced T9 Accelerometer Smart sensors, which aid in the provision of location-based temperature control by focusing on the critical forming. Accelerometers are widely used in the smart agriculture industry to predict and assist with maintenance needs. Accelerometers, which are primarily used on moving components and motors, detect minor variations in movement and vibration inconsistencies and predict when standard maintenance is required or a compromised component needs to be replaced. and In Feb 2021, DeLaval has introduced the RC550 and RC700 robots to its portfolio. These robots were created to improve cow comfort and hoof condition on solid floors. The collector can handle any type of manure thanks to their unique rotary manure intake system, and no additional water is required.


Market Trend
  • Indoor Farming's Average Labour Force Has Shrunk
  • Increased Usage of M2M Solution in Agriculture

Market Drivers
  • The rise in the Use of Modern Technology in Agricultural products
  • Increasing Population and Increasing Consumption of Diet Proteins
  • Reduce Human Effort

Opportunities
  • Advance Technologies Such As Big Data, And Smart Devices Such As GPS
  • Increasing Public and Private Sector Funding for Precision Agriculture

Restraints
  • High Diversity of Agricultural industry
  • The shortage for Skilled Labour

Challenges
  • Lack of Standardisation in Smart Agriculture sensor Industry


Key Target Audience
Smart Agriculture Sensors Manufacturers, Industry Association, Downstream Vendors, Marketing & Consulting firms, Smart Agriculture Sensors Distributors, Smart Agriculture Sensors Suppliers, Government bodies and R&D Departments

Report Objectives / Segmentation Covered

By Type
  • Humidity Sensor
  • Electrochemical Sensor
  • Mechanical Sensor
  • Optical Sensor
  • Pressure Sensor
  • Water Sensor
  • Soil Sensor
  • Livestock Sensor
  • Others
By Application
  • Dairy Management
  • Soil Management
  • Climate Management
  • Water Management
By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. The rise in the Use of Modern Technology in Agricultural products
      • 3.2.2. Increasing Population and Increasing Consumption of Diet Proteins
      • 3.2.3. Reduce Human Effort
    • 3.3. Market Challenges
      • 3.3.1. Lack of Standardisation in Smart Agriculture sensor Industry
    • 3.4. Market Trends
      • 3.4.1. Indoor Farming's Average Labour Force Has Shrunk
      • 3.4.2. Increased Usage of M2M Solution in Agriculture
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Smart Agriculture Sensors, by Type, Application and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Smart Agriculture Sensors (Value)
      • 5.2.1. Global Smart Agriculture Sensors by: Type (Value)
        • 5.2.1.1. Humidity Sensor
        • 5.2.1.2. Electrochemical Sensor
        • 5.2.1.3. Mechanical Sensor
        • 5.2.1.4. Optical Sensor
        • 5.2.1.5. Pressure Sensor
        • 5.2.1.6. Water Sensor
        • 5.2.1.7. Soil Sensor
        • 5.2.1.8. Livestock Sensor
        • 5.2.1.9. Others
      • 5.2.2. Global Smart Agriculture Sensors by: Application (Value)
        • 5.2.2.1. Dairy Management
        • 5.2.2.2. Soil Management
        • 5.2.2.3. Climate Management
        • 5.2.2.4. Water Management
      • 5.2.3. Global Smart Agriculture Sensors Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
    • 5.3. Global Smart Agriculture Sensors (Price)
      • 5.3.1. Global Smart Agriculture Sensors by: Type (Price)
  • 6. Smart Agriculture Sensors: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Vishay (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Honeywell (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Texas Instruments (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Auroras s.r.l. (Italy)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Edyn (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Bosch (Germany)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Libelium (Spain)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Sol Chip Ltd (Israel)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Acclima (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. CropX Inc (Israel)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Smart Agriculture Sensors Sale, by Type, Application and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Smart Agriculture Sensors (Value)
      • 7.2.1. Global Smart Agriculture Sensors by: Type (Value)
        • 7.2.1.1. Humidity Sensor
        • 7.2.1.2. Electrochemical Sensor
        • 7.2.1.3. Mechanical Sensor
        • 7.2.1.4. Optical Sensor
        • 7.2.1.5. Pressure Sensor
        • 7.2.1.6. Water Sensor
        • 7.2.1.7. Soil Sensor
        • 7.2.1.8. Livestock Sensor
        • 7.2.1.9. Others
      • 7.2.2. Global Smart Agriculture Sensors by: Application (Value)
        • 7.2.2.1. Dairy Management
        • 7.2.2.2. Soil Management
        • 7.2.2.3. Climate Management
        • 7.2.2.4. Water Management
      • 7.2.3. Global Smart Agriculture Sensors Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
    • 7.3. Global Smart Agriculture Sensors (Price)
      • 7.3.1. Global Smart Agriculture Sensors by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Smart Agriculture Sensors: by Type(USD Million)
  • Table 2. Smart Agriculture Sensors Humidity Sensor , by Region USD Million (2016-2021)
  • Table 3. Smart Agriculture Sensors Electrochemical Sensor , by Region USD Million (2016-2021)
  • Table 4. Smart Agriculture Sensors Mechanical Sensor , by Region USD Million (2016-2021)
  • Table 5. Smart Agriculture Sensors Optical Sensor , by Region USD Million (2016-2021)
  • Table 6. Smart Agriculture Sensors Pressure Sensor , by Region USD Million (2016-2021)
  • Table 7. Smart Agriculture Sensors Water Sensor , by Region USD Million (2016-2021)
  • Table 8. Smart Agriculture Sensors Soil Sensor , by Region USD Million (2016-2021)
  • Table 9. Smart Agriculture Sensors Livestock Sensor , by Region USD Million (2016-2021)
  • Table 10. Smart Agriculture Sensors Others , by Region USD Million (2016-2021)
  • Table 11. Smart Agriculture Sensors: by Application(USD Million)
  • Table 12. Smart Agriculture Sensors Dairy Management , by Region USD Million (2016-2021)
  • Table 13. Smart Agriculture Sensors Soil Management , by Region USD Million (2016-2021)
  • Table 14. Smart Agriculture Sensors Climate Management , by Region USD Million (2016-2021)
  • Table 15. Smart Agriculture Sensors Water Management , by Region USD Million (2016-2021)
  • Table 16. South America Smart Agriculture Sensors, by Country USD Million (2016-2021)
  • Table 17. South America Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 18. South America Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 19. Brazil Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 20. Brazil Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 21. Argentina Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 22. Argentina Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 23. Rest of South America Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 24. Rest of South America Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 25. Asia Pacific Smart Agriculture Sensors, by Country USD Million (2016-2021)
  • Table 26. Asia Pacific Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 27. Asia Pacific Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 28. China Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 29. China Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 30. Japan Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 31. Japan Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 32. India Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 33. India Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 34. South Korea Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 35. South Korea Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 36. Taiwan Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 37. Taiwan Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 38. Australia Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 39. Australia Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 40. Rest of Asia-Pacific Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 41. Rest of Asia-Pacific Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 42. Europe Smart Agriculture Sensors, by Country USD Million (2016-2021)
  • Table 43. Europe Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 44. Europe Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 45. Germany Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 46. Germany Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 47. France Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 48. France Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 49. Italy Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 50. Italy Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 51. United Kingdom Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 52. United Kingdom Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 53. Netherlands Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 54. Netherlands Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 55. Rest of Europe Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 56. Rest of Europe Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 57. MEA Smart Agriculture Sensors, by Country USD Million (2016-2021)
  • Table 58. MEA Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 59. MEA Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 60. Middle East Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 61. Middle East Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 62. Africa Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 63. Africa Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 64. North America Smart Agriculture Sensors, by Country USD Million (2016-2021)
  • Table 65. North America Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 66. North America Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 67. United States Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 68. United States Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 69. Canada Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 70. Canada Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 71. Mexico Smart Agriculture Sensors, by Type USD Million (2016-2021)
  • Table 72. Mexico Smart Agriculture Sensors, by Application USD Million (2016-2021)
  • Table 73. Smart Agriculture Sensors: by Type(USD/Units)
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Company Basic Information, Sales Area and Its Competitors
  • Table 79. Company Basic Information, Sales Area and Its Competitors
  • Table 80. Company Basic Information, Sales Area and Its Competitors
  • Table 81. Company Basic Information, Sales Area and Its Competitors
  • Table 82. Company Basic Information, Sales Area and Its Competitors
  • Table 83. Company Basic Information, Sales Area and Its Competitors
  • Table 84. Smart Agriculture Sensors: by Type(USD Million)
  • Table 85. Smart Agriculture Sensors Humidity Sensor , by Region USD Million (2022-2027)
  • Table 86. Smart Agriculture Sensors Electrochemical Sensor , by Region USD Million (2022-2027)
  • Table 87. Smart Agriculture Sensors Mechanical Sensor , by Region USD Million (2022-2027)
  • Table 88. Smart Agriculture Sensors Optical Sensor , by Region USD Million (2022-2027)
  • Table 89. Smart Agriculture Sensors Pressure Sensor , by Region USD Million (2022-2027)
  • Table 90. Smart Agriculture Sensors Water Sensor , by Region USD Million (2022-2027)
  • Table 91. Smart Agriculture Sensors Soil Sensor , by Region USD Million (2022-2027)
  • Table 92. Smart Agriculture Sensors Livestock Sensor , by Region USD Million (2022-2027)
  • Table 93. Smart Agriculture Sensors Others , by Region USD Million (2022-2027)
  • Table 94. Smart Agriculture Sensors: by Application(USD Million)
  • Table 95. Smart Agriculture Sensors Dairy Management , by Region USD Million (2022-2027)
  • Table 96. Smart Agriculture Sensors Soil Management , by Region USD Million (2022-2027)
  • Table 97. Smart Agriculture Sensors Climate Management , by Region USD Million (2022-2027)
  • Table 98. Smart Agriculture Sensors Water Management , by Region USD Million (2022-2027)
  • Table 99. South America Smart Agriculture Sensors, by Country USD Million (2022-2027)
  • Table 100. South America Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 101. South America Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 102. Brazil Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 103. Brazil Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 104. Argentina Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 105. Argentina Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 106. Rest of South America Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 107. Rest of South America Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 108. Asia Pacific Smart Agriculture Sensors, by Country USD Million (2022-2027)
  • Table 109. Asia Pacific Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 110. Asia Pacific Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 111. China Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 112. China Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 113. Japan Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 114. Japan Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 115. India Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 116. India Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 117. South Korea Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 118. South Korea Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 119. Taiwan Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 120. Taiwan Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 121. Australia Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 122. Australia Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 123. Rest of Asia-Pacific Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 124. Rest of Asia-Pacific Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 125. Europe Smart Agriculture Sensors, by Country USD Million (2022-2027)
  • Table 126. Europe Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 127. Europe Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 128. Germany Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 129. Germany Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 130. France Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 131. France Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 132. Italy Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 133. Italy Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 134. United Kingdom Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 135. United Kingdom Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 136. Netherlands Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 137. Netherlands Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 138. Rest of Europe Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 139. Rest of Europe Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 140. MEA Smart Agriculture Sensors, by Country USD Million (2022-2027)
  • Table 141. MEA Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 142. MEA Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 143. Middle East Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 144. Middle East Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 145. Africa Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 146. Africa Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 147. North America Smart Agriculture Sensors, by Country USD Million (2022-2027)
  • Table 148. North America Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 149. North America Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 150. United States Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 151. United States Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 152. Canada Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 153. Canada Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 154. Mexico Smart Agriculture Sensors, by Type USD Million (2022-2027)
  • Table 155. Mexico Smart Agriculture Sensors, by Application USD Million (2022-2027)
  • Table 156. Smart Agriculture Sensors: by Type(USD/Units)
  • Table 157. Research Programs/Design for This Report
  • Table 158. Key Data Information from Secondary Sources
  • Table 159. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Smart Agriculture Sensors: by Type USD Million (2016-2021)
  • Figure 5. Global Smart Agriculture Sensors: by Application USD Million (2016-2021)
  • Figure 6. South America Smart Agriculture Sensors Share (%), by Country
  • Figure 7. Asia Pacific Smart Agriculture Sensors Share (%), by Country
  • Figure 8. Europe Smart Agriculture Sensors Share (%), by Country
  • Figure 9. MEA Smart Agriculture Sensors Share (%), by Country
  • Figure 10. North America Smart Agriculture Sensors Share (%), by Country
  • Figure 11. Global Smart Agriculture Sensors: by Type USD/Units (2016-2021)
  • Figure 12. Global Smart Agriculture Sensors share by Players 2021 (%)
  • Figure 13. Global Smart Agriculture Sensors share by Players (Top 3) 2021(%)
  • Figure 14. Global Smart Agriculture Sensors share by Players (Top 5) 2021(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Vishay (United States) Revenue, Net Income and Gross profit
  • Figure 17. Vishay (United States) Revenue: by Geography 2021
  • Figure 18. Honeywell (United States) Revenue, Net Income and Gross profit
  • Figure 19. Honeywell (United States) Revenue: by Geography 2021
  • Figure 20. Texas Instruments (United States) Revenue, Net Income and Gross profit
  • Figure 21. Texas Instruments (United States) Revenue: by Geography 2021
  • Figure 22. Auroras s.r.l. (Italy) Revenue, Net Income and Gross profit
  • Figure 23. Auroras s.r.l. (Italy) Revenue: by Geography 2021
  • Figure 24. Edyn (United States) Revenue, Net Income and Gross profit
  • Figure 25. Edyn (United States) Revenue: by Geography 2021
  • Figure 26. Bosch (Germany) Revenue, Net Income and Gross profit
  • Figure 27. Bosch (Germany) Revenue: by Geography 2021
  • Figure 28. Libelium (Spain) Revenue, Net Income and Gross profit
  • Figure 29. Libelium (Spain) Revenue: by Geography 2021
  • Figure 30. Sol Chip Ltd (Israel) Revenue, Net Income and Gross profit
  • Figure 31. Sol Chip Ltd (Israel) Revenue: by Geography 2021
  • Figure 32. Acclima (United States) Revenue, Net Income and Gross profit
  • Figure 33. Acclima (United States) Revenue: by Geography 2021
  • Figure 34. CropX Inc (Israel) Revenue, Net Income and Gross profit
  • Figure 35. CropX Inc (Israel) Revenue: by Geography 2021
  • Figure 36. Global Smart Agriculture Sensors: by Type USD Million (2022-2027)
  • Figure 37. Global Smart Agriculture Sensors: by Application USD Million (2022-2027)
  • Figure 38. South America Smart Agriculture Sensors Share (%), by Country
  • Figure 39. Asia Pacific Smart Agriculture Sensors Share (%), by Country
  • Figure 40. Europe Smart Agriculture Sensors Share (%), by Country
  • Figure 41. MEA Smart Agriculture Sensors Share (%), by Country
  • Figure 42. North America Smart Agriculture Sensors Share (%), by Country
  • Figure 43. Global Smart Agriculture Sensors: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Vishay (United States)
  • Honeywell (United States)
  • Texas Instruments (United States)
  • Auroras s.r.l. (Italy)
  • Edyn (United States)
  • Bosch (Germany)
  • Libelium (Spain)
  • Sol Chip Ltd (Israel)
  • Acclima (United States)
  • CropX Inc (Israel)
Additional players considered in the study are as follows:
Trimble Inc (United States) , Sentera, LLC. (United States) , The Yield Pty Ltd (Australia)
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Apr 2022 243 Pages 55 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Smart Agriculture Sensors Quantitative research analysis
Global Smart Agriculture Sensors Qualitative Industry Analysis
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