The global Smart Agriculture Sensors market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Smart agriculture, also known as precision agriculture, allows farmers to maximize yields using minimal resources such as water, fertilizer, and seeds. By deploying sensors and mapping fields, farmers can begin to understand their crops at a micro scale, conserve resources, and reduce impacts on the environment. Smart agriculture has roots going back to the 1980s when Global Positioning System (GPS) capability became accessible for civilian use. Once farmers were able to accurately map their crop fields, they could monitor and apply fertilizer and weed treatments only to areas that required it. During the 1990s, early precision agriculture users adopted crop yield monitoring to generate fertilizer and pH correction recommendations. As more variables could be measured and entered into a crop model, more accurate recommendations for fertilizer application, watering, and even peak yield harvesting, could be made. A number of sensing technologies are used in precision agriculture, providing data that helps farmers monitor and optimize crops, as well as adapt to changing environmental factors including:
This report includes an overview of the development of the Smart Agriculture Sensors industry chain, the market status of Yield Monitoring and Mapping (Location Sensor, Optical Sensor), Soil Monitoring (Location Sensor, Optical Sensor), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Smart Agriculture Sensors.
Regionally, the report analyzes the Smart Agriculture Sensors markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Smart Agriculture Sensors market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Smart Agriculture Sensors market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Smart Agriculture Sensors industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the sales quantity (K Units), revenue generated, and market share of different by Type (e.g., Location Sensor, Optical Sensor).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Smart Agriculture Sensors market.
Regional Analysis: The report involves examining the Smart Agriculture Sensors market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Smart Agriculture Sensors market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Smart Agriculture Sensors:
Company Analysis: Report covers individual Smart Agriculture Sensors manufacturers, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Smart Agriculture Sensors This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Yield Monitoring and Mapping, Soil Monitoring).
Technology Analysis: Report covers specific technologies relevant to Smart Agriculture Sensors. It assesses the current state, advancements, and potential future developments in Smart Agriculture Sensors areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Smart Agriculture Sensors market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Smart Agriculture Sensors market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value.
麻豆原创 segment by Type
Location Sensor
Optical Sensor
Other
麻豆原创 segment by Application
Yield Monitoring and Mapping
Soil Monitoring
Disease Control and Detection
Irrigation and Water Management
Other
Major players covered
Vishay
Honeywell
Texas Instruments
Auroras s.r.l.
Bosch
Avidor High Tech
Libelium
Sol Chip Ltd
Pycno Agriculture
CropX Inc
Trimble Inc
Sentera, LLC.
The Yield Pty Ltd
麻豆原创 segment by region, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Smart Agriculture Sensors product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Smart Agriculture Sensors, with price, sales, revenue and global market share of Smart Agriculture Sensors from 2019 to 2024.
Chapter 3, the Smart Agriculture Sensors competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Smart Agriculture Sensors breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2019 to 2030.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2019 to 2030.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2017 to 2023.and Smart Agriculture Sensors market forecast, by regions, type and application, with sales and revenue, from 2025 to 2030.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Smart Agriculture Sensors.
Chapter 14 and 15, to describe Smart Agriculture Sensors sales channel, distributors, customers, research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope of Smart Agriculture Sensors
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 麻豆原创 Analysis by Type
1.3.1 Overview: Global Smart Agriculture Sensors Consumption Value by Type: 2019 Versus 2023 Versus 2030
1.3.2 Location Sensor
1.3.3 Optical Sensor
1.3.4 Other
1.4 麻豆原创 Analysis by Application
1.4.1 Overview: Global Smart Agriculture Sensors Consumption Value by Application: 2019 Versus 2023 Versus 2030
1.4.2 Yield Monitoring and Mapping
1.4.3 Soil Monitoring
1.4.4 Disease Control and Detection
1.4.5 Irrigation and Water Management
1.4.6 Other
1.5 Global Smart Agriculture Sensors 麻豆原创 Size & Forecast
1.5.1 Global Smart Agriculture Sensors Consumption Value (2019 & 2023 & 2030)
1.5.2 Global Smart Agriculture Sensors Sales Quantity (2019-2030)
1.5.3 Global Smart Agriculture Sensors Average Price (2019-2030)
2 Manufacturers Profiles
2.1 Vishay
2.1.1 Vishay Details
2.1.2 Vishay Major Business
2.1.3 Vishay Smart Agriculture Sensors Product and Services
2.1.4 Vishay Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Vishay Recent Developments/Updates
2.2 Honeywell
2.2.1 Honeywell Details
2.2.2 Honeywell Major Business
2.2.3 Honeywell Smart Agriculture Sensors Product and Services
2.2.4 Honeywell Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Honeywell Recent Developments/Updates
2.3 Texas Instruments
2.3.1 Texas Instruments Details
2.3.2 Texas Instruments Major Business
2.3.3 Texas Instruments Smart Agriculture Sensors Product and Services
2.3.4 Texas Instruments Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Texas Instruments Recent Developments/Updates
2.4 Auroras s.r.l.
2.4.1 Auroras s.r.l. Details
2.4.2 Auroras s.r.l. Major Business
2.4.3 Auroras s.r.l. Smart Agriculture Sensors Product and Services
2.4.4 Auroras s.r.l. Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Auroras s.r.l. Recent Developments/Updates
2.5 Bosch
2.5.1 Bosch Details
2.5.2 Bosch Major Business
2.5.3 Bosch Smart Agriculture Sensors Product and Services
2.5.4 Bosch Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Bosch Recent Developments/Updates
2.6 Avidor High Tech
2.6.1 Avidor High Tech Details
2.6.2 Avidor High Tech Major Business
2.6.3 Avidor High Tech Smart Agriculture Sensors Product and Services
2.6.4 Avidor High Tech Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Avidor High Tech Recent Developments/Updates
2.7 Libelium
2.7.1 Libelium Details
2.7.2 Libelium Major Business
2.7.3 Libelium Smart Agriculture Sensors Product and Services
2.7.4 Libelium Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Libelium Recent Developments/Updates
2.8 Sol Chip Ltd
2.8.1 Sol Chip Ltd Details
2.8.2 Sol Chip Ltd Major Business
2.8.3 Sol Chip Ltd Smart Agriculture Sensors Product and Services
2.8.4 Sol Chip Ltd Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Sol Chip Ltd Recent Developments/Updates
2.9 Pycno Agriculture
2.9.1 Pycno Agriculture Details
2.9.2 Pycno Agriculture Major Business
2.9.3 Pycno Agriculture Smart Agriculture Sensors Product and Services
2.9.4 Pycno Agriculture Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Pycno Agriculture Recent Developments/Updates
2.10 CropX Inc
2.10.1 CropX Inc Details
2.10.2 CropX Inc Major Business
2.10.3 CropX Inc Smart Agriculture Sensors Product and Services
2.10.4 CropX Inc Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 CropX Inc Recent Developments/Updates
2.11 Trimble Inc
2.11.1 Trimble Inc Details
2.11.2 Trimble Inc Major Business
2.11.3 Trimble Inc Smart Agriculture Sensors Product and Services
2.11.4 Trimble Inc Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Trimble Inc Recent Developments/Updates
2.12 Sentera, LLC.
2.12.1 Sentera, LLC. Details
2.12.2 Sentera, LLC. Major Business
2.12.3 Sentera, LLC. Smart Agriculture Sensors Product and Services
2.12.4 Sentera, LLC. Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.12.5 Sentera, LLC. Recent Developments/Updates
2.13 The Yield Pty Ltd
2.13.1 The Yield Pty Ltd Details
2.13.2 The Yield Pty Ltd Major Business
2.13.3 The Yield Pty Ltd Smart Agriculture Sensors Product and Services
2.13.4 The Yield Pty Ltd Smart Agriculture Sensors Sales Quantity, Average Price, Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.13.5 The Yield Pty Ltd Recent Developments/Updates
3 Competitive Environment: Smart Agriculture Sensors by Manufacturer
3.1 Global Smart Agriculture Sensors Sales Quantity by Manufacturer (2019-2024)
3.2 Global Smart Agriculture Sensors Revenue by Manufacturer (2019-2024)
3.3 Global Smart Agriculture Sensors Average Price by Manufacturer (2019-2024)
3.4 麻豆原创 Share Analysis (2023)
3.4.1 Producer Shipments of Smart Agriculture Sensors by Manufacturer Revenue ($MM) and 麻豆原创 Share (%): 2023
3.4.2 Top 3 Smart Agriculture Sensors Manufacturer 麻豆原创 Share in 2023
3.4.2 Top 6 Smart Agriculture Sensors Manufacturer 麻豆原创 Share in 2023
3.5 Smart Agriculture Sensors 麻豆原创: Overall Company Footprint Analysis
3.5.1 Smart Agriculture Sensors 麻豆原创: Region Footprint
3.5.2 Smart Agriculture Sensors 麻豆原创: Company Product Type Footprint
3.5.3 Smart Agriculture Sensors 麻豆原创: Company Product Application Footprint
3.6 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.7 Mergers, Acquisition, Agreements, and Collaborations
4 Consumption Analysis by Region
4.1 Global Smart Agriculture Sensors 麻豆原创 Size by Region
4.1.1 Global Smart Agriculture Sensors Sales Quantity by Region (2019-2030)
4.1.2 Global Smart Agriculture Sensors Consumption Value by Region (2019-2030)
4.1.3 Global Smart Agriculture Sensors Average Price by Region (2019-2030)
4.2 North America Smart Agriculture Sensors Consumption Value (2019-2030)
4.3 Europe Smart Agriculture Sensors Consumption Value (2019-2030)
4.4 Asia-Pacific Smart Agriculture Sensors Consumption Value (2019-2030)
4.5 South America Smart Agriculture Sensors Consumption Value (2019-2030)
4.6 Middle East and Africa Smart Agriculture Sensors Consumption Value (2019-2030)
5 麻豆原创 Segment by Type
5.1 Global Smart Agriculture Sensors Sales Quantity by Type (2019-2030)
5.2 Global Smart Agriculture Sensors Consumption Value by Type (2019-2030)
5.3 Global Smart Agriculture Sensors Average Price by Type (2019-2030)
6 麻豆原创 Segment by Application
6.1 Global Smart Agriculture Sensors Sales Quantity by Application (2019-2030)
6.2 Global Smart Agriculture Sensors Consumption Value by Application (2019-2030)
6.3 Global Smart Agriculture Sensors Average Price by Application (2019-2030)
7 North America
7.1 North America Smart Agriculture Sensors Sales Quantity by Type (2019-2030)
7.2 North America Smart Agriculture Sensors Sales Quantity by Application (2019-2030)
7.3 North America Smart Agriculture Sensors 麻豆原创 Size by Country
7.3.1 North America Smart Agriculture Sensors Sales Quantity by Country (2019-2030)
7.3.2 North America Smart Agriculture Sensors Consumption Value by Country (2019-2030)
7.3.3 United States 麻豆原创 Size and Forecast (2019-2030)
7.3.4 Canada 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Mexico 麻豆原创 Size and Forecast (2019-2030)
8 Europe
8.1 Europe Smart Agriculture Sensors Sales Quantity by Type (2019-2030)
8.2 Europe Smart Agriculture Sensors Sales Quantity by Application (2019-2030)
8.3 Europe Smart Agriculture Sensors 麻豆原创 Size by Country
8.3.1 Europe Smart Agriculture Sensors Sales Quantity by Country (2019-2030)
8.3.2 Europe Smart Agriculture Sensors Consumption Value by Country (2019-2030)
8.3.3 Germany 麻豆原创 Size and Forecast (2019-2030)
8.3.4 France 麻豆原创 Size and Forecast (2019-2030)
8.3.5 United Kingdom 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Russia 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Italy 麻豆原创 Size and Forecast (2019-2030)
9 Asia-Pacific
9.1 Asia-Pacific Smart Agriculture Sensors Sales Quantity by Type (2019-2030)
9.2 Asia-Pacific Smart Agriculture Sensors Sales Quantity by Application (2019-2030)
9.3 Asia-Pacific Smart Agriculture Sensors 麻豆原创 Size by Region
9.3.1 Asia-Pacific Smart Agriculture Sensors Sales Quantity by Region (2019-2030)
9.3.2 Asia-Pacific Smart Agriculture Sensors Consumption Value by Region (2019-2030)
9.3.3 China 麻豆原创 Size and Forecast (2019-2030)
9.3.4 Japan 麻豆原创 Size and Forecast (2019-2030)
9.3.5 Korea 麻豆原创 Size and Forecast (2019-2030)
9.3.6 India 麻豆原创 Size and Forecast (2019-2030)
9.3.7 Southeast Asia 麻豆原创 Size and Forecast (2019-2030)
9.3.8 Australia 麻豆原创 Size and Forecast (2019-2030)
10 South America
10.1 South America Smart Agriculture Sensors Sales Quantity by Type (2019-2030)
10.2 South America Smart Agriculture Sensors Sales Quantity by Application (2019-2030)
10.3 South America Smart Agriculture Sensors 麻豆原创 Size by Country
10.3.1 South America Smart Agriculture Sensors Sales Quantity by Country (2019-2030)
10.3.2 South America Smart Agriculture Sensors Consumption Value by Country (2019-2030)
10.3.3 Brazil 麻豆原创 Size and Forecast (2019-2030)
10.3.4 Argentina 麻豆原创 Size and Forecast (2019-2030)
11 Middle East & Africa
11.1 Middle East & Africa Smart Agriculture Sensors Sales Quantity by Type (2019-2030)
11.2 Middle East & Africa Smart Agriculture Sensors Sales Quantity by Application (2019-2030)
11.3 Middle East & Africa Smart Agriculture Sensors 麻豆原创 Size by Country
11.3.1 Middle East & Africa Smart Agriculture Sensors Sales Quantity by Country (2019-2030)
11.3.2 Middle East & Africa Smart Agriculture Sensors Consumption Value by Country (2019-2030)
11.3.3 Turkey 麻豆原创 Size and Forecast (2019-2030)
11.3.4 Egypt 麻豆原创 Size and Forecast (2019-2030)
11.3.5 Saudi Arabia 麻豆原创 Size and Forecast (2019-2030)
11.3.6 South Africa 麻豆原创 Size and Forecast (2019-2030)
12 麻豆原创 Dynamics
12.1 Smart Agriculture Sensors 麻豆原创 Drivers
12.2 Smart Agriculture Sensors 麻豆原创 Restraints
12.3 Smart Agriculture Sensors Trends Analysis
12.4 Porters Five Forces Analysis
12.4.1 Threat of New Entrants
12.4.2 Bargaining Power of Suppliers
12.4.3 Bargaining Power of Buyers
12.4.4 Threat of Substitutes
12.4.5 Competitive Rivalry
13 Raw Material and Industry Chain
13.1 Raw Material of Smart Agriculture Sensors and Key Manufacturers
13.2 Manufacturing Costs Percentage of Smart Agriculture Sensors
13.3 Smart Agriculture Sensors Production Process
13.4 Smart Agriculture Sensors Industrial Chain
14 Shipments by Distribution Channel
14.1 Sales Channel
14.1.1 Direct to End-User
14.1.2 Distributors
14.2 Smart Agriculture Sensors Typical Distributors
14.3 Smart Agriculture Sensors Typical Customers
15 Research Findings and Conclusion
16 Appendix
16.1 Methodology
16.2 Research Process and Data Source
16.3 Disclaimer
Vishay
Honeywell
Texas Instruments
Auroras s.r.l.
Bosch
Avidor High Tech
Libelium
Sol Chip Ltd
Pycno Agriculture
CropX Inc
Trimble Inc
Sentera, LLC.
The Yield Pty Ltd
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*If Applicable.
