Global Smart Agriculture Sensors Market Report, History and Forecast 2018-2034, Breakdown Data by Manufacturers, Key Regions, Types and Application
Published on: 2024-01-04 | No of Pages : 400 | Industry : Agriculture
Publisher : MRA | Format : PDF
Global Smart Agriculture Sensors Market Report, History and Forecast 2018-2034, Breakdown Data by Manufacturers, Key Regions, Types and Application
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
Smart Agriculture Sensors report published by MRAResearch reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2022. Global Smart Agriculture Sensors market is projected to reach US$ million in 2033, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2033. Demand from Yield Monitoring and Mapping and Soil Monitoring are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for Smart Agriculture Sensors industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, Smart Agriculture Sensors key manufacturers include Vishay, Honeywell, Texas Instruments, Auroras s.r.l., Bosch, Avidor High Tech, Libelium, Sol Chip Ltd and Pycno Agriculture, etc. Vishay, Honeywell, Texas Instruments are top 3 players and held % sales share in total in 2022.
Smart Agriculture Sensors can be divided into Location Sensor, Optical Sensor and Other,, etc. Location Sensor is the mainstream product in the market, accounting for % sales share globally in 2022.
Smart Agriculture Sensors is widely used in various fields, such as Yield Monitoring and Mapping, Soil Monitoring, Disease Control and Detection and Irrigation and Water Management, etc. Yield Monitoring and Mapping provides greatest supports to the Smart Agriculture Sensors industry development. In 2022, global % sales of Smart Agriculture Sensors went into Yield Monitoring and Mapping filed.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Smart Agriculture Sensors market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Manufacturers, Type, Application and Regions Listed in the Report
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
Segment by Type
Location Sensor
Optical Sensor
Other
Yield Monitoring and Mapping
Soil Monitoring
Disease Control and Detection
Irrigation and Water Management
Other
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Thailand
Malaysia
Philippines
Vietnam
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Each chapter of the report provides detailed information for readers to understand the Smart Agriculture Sensors market further
Chapter 1Product Definition, Product Types, Volume and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 2Manufacturer Competition Status, including Sales and Revenue comparison, Manufacturers’ commercial date of Smart Agriculture Sensors, product type offered by each manufacturer, Mergers & Acquisitions activities, Expansion activities occurred in the Smart Agriculture Sensors industry.
Chapter 3Historical (2018-2022) and forecast (2023-2033) volume and revenue analysis of Smart Agriculture Sensors in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa.
Chapter 4Product Application, Volume and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 5 to 9Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa, including volume and revenue analysis.
Chapter 10Manufacturers’ Outline, covering company’s basic information like headquarter, contact information, major business, Smart Agriculture Sensors introduction, etc. Smart Agriculture Sensors Sales, Revenue, Price and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 11Industry Chain, like raw materials, manufacturing cost, are covered. In addition, market opportunities and challenges are emphasized as well in the chapter.
Chapter 12Market Channel, Distributors and Customers are listed.
Chapter 13MRAResearch’s Conclusions of Smart Agriculture Sensors market based on comprehensive survey.
Chapter 14Methodology and Data Sources adopted by MRAResearch.
Smart Agriculture Sensors report published by MRAResearch reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2022. Global Smart Agriculture Sensors market is projected to reach US$ million in 2033, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2033. Demand from Yield Monitoring and Mapping and Soil Monitoring are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for Smart Agriculture Sensors industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, Smart Agriculture Sensors key manufacturers include Vishay, Honeywell, Texas Instruments, Auroras s.r.l., Bosch, Avidor High Tech, Libelium, Sol Chip Ltd and Pycno Agriculture, etc. Vishay, Honeywell, Texas Instruments are top 3 players and held % sales share in total in 2022.
Smart Agriculture Sensors can be divided into Location Sensor, Optical Sensor and Other,, etc. Location Sensor is the mainstream product in the market, accounting for % sales share globally in 2022.
Smart Agriculture Sensors is widely used in various fields, such as Yield Monitoring and Mapping, Soil Monitoring, Disease Control and Detection and Irrigation and Water Management, etc. Yield Monitoring and Mapping provides greatest supports to the Smart Agriculture Sensors industry development. In 2022, global % sales of Smart Agriculture Sensors went into Yield Monitoring and Mapping filed.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Smart Agriculture Sensors market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Manufacturers, Type, Application and Regions Listed in the Report
By Company
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
Segment by Type
Location Sensor
Optical Sensor
Other
Segment by Application
Yield Monitoring and Mapping
Soil Monitoring
Disease Control and Detection
Irrigation and Water Management
Other
Segment by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Thailand
Malaysia
Philippines
Vietnam
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Each chapter of the report provides detailed information for readers to understand the Smart Agriculture Sensors market further
Chapter 1Product Definition, Product Types, Volume and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 2Manufacturer Competition Status, including Sales and Revenue comparison, Manufacturers’ commercial date of Smart Agriculture Sensors, product type offered by each manufacturer, Mergers & Acquisitions activities, Expansion activities occurred in the Smart Agriculture Sensors industry.
Chapter 3Historical (2018-2022) and forecast (2023-2033) volume and revenue analysis of Smart Agriculture Sensors in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa.
Chapter 4Product Application, Volume and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 5 to 9Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa, including volume and revenue analysis.
Chapter 10Manufacturers’ Outline, covering company’s basic information like headquarter, contact information, major business, Smart Agriculture Sensors introduction, etc. Smart Agriculture Sensors Sales, Revenue, Price and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 11Industry Chain, like raw materials, manufacturing cost, are covered. In addition, market opportunities and challenges are emphasized as well in the chapter.
Chapter 12Market Channel, Distributors and Customers are listed.
Chapter 13MRAResearch’s Conclusions of Smart Agriculture Sensors market based on comprehensive survey.
Chapter 14Methodology and Data Sources adopted by MRAResearch.
Electronic and Semiconductor
Food and Beverages
Chemicals and Materials
Consumer Goods
Construction Manufacturing
Aerospace and Defence
Energy and Power
ICT Media
Banking and Finance
Automotive and Transportation
Machinery and Equipments
Pharmaceutical and Healthcare
Medical Devices