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Report overview
The global Smart Agriculture Sensors market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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 aims to provide a comprehensive presentation of the global market for Smart Agriculture Sensors, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Smart Agriculture Sensors. This report contains market size and forecasts of Smart Agriculture Sensors in global, including the following market information:
Global Smart Agriculture Sensors Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global Smart Agriculture Sensors Market Sales, 2018-2023, 2024-2032, (K Units)
Global top five Smart Agriculture Sensors companies in 2022 (%)
The U.S. Market is Estimated at $ Million in 2022, While China is Forecast to Reach $ Million.
Location Sensor Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Smart Agriculture Sensors include Vishay, Honeywell, Texas Instruments, Auroras s.r.l., Bosch, Avidor High Tech, Libelium, Sol Chip Ltd and Pycno Agriculture, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Smart Agriculture Sensors manufacturers, suppliers, distributors and industry experts on this industry, involving the sales, revenue, demand, price change, product type, recent development and plan, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Smart Agriculture Sensors Market, by Type, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Smart Agriculture Sensors Market Segment Percentages, by Type, 2022 (%)
Global Smart Agriculture Sensors Market, by Application, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Smart Agriculture Sensors Market Segment Percentages, by Application, 2022 (%)
Global Smart Agriculture Sensors Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions) & (K Units)
Global Smart Agriculture Sensors Market Segment Percentages, By Region and Country, 2022 (%)
Competitor Analysis
The report also provides analysis of leading market participants including:
Further, the report presents profiles of competitors in the market, key players include:
Outline of Major Chapters:
Chapter 1: Introduces the definition of Smart Agriculture Sensors, market overview.
Chapter 2: Global Smart Agriculture Sensors market size in revenue and volume.
Chapter 3: Detailed analysis of Smart Agriculture Sensors manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Smart Agriculture Sensors in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: Global Smart Agriculture Sensors capacity by region & country.
Chapter 9: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 10: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 11: The main points and conclusions of the report.
