Industry: Machinery & Equipment
Published Date: 2024-04-28
Pages: 127 Pages
Report ld: 3119971
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Intelligent Farming, 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. Intelligent Farming 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. This report mainly covers the Intelligent Farming senor and robot and other device. software and other service solution is not covered.
The global Intelligent Farming Hardware market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Intelligent Farming Hardware is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Intelligent Farming Hardware is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Intelligent Farming Hardware is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key manufacturers of Intelligent Farming Hardware include Texas Instruments, John Deere, AKVA Group, Robotics Plus, AGCO Corporation, GEA Farm Technologies, CropX, Trimble Inc and Yamaha, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
In terms of production side, this report researches the Intelligent Farming Hardware production, growth rate, market share by manufacturers and by region (region level and country level), from 2019 to 2024, and forecast to 2030.
In terms of consumption side, this report focuses on the sales of Intelligent Farming Hardware by region (region level and country level), by company, by Type and by Application. from 2019 to 2024 and forecast to 2030.
Report Covers:
This report presents an overview of global market for Intelligent Farming Hardware, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2019 - 2024, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Intelligent Farming Hardware, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for Intelligent Farming Hardware, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Intelligent Farming Hardware sales, revenue, market share and industry ranking of main manufacturers, data from 2019 to 2024. Identification of the major stakeholders in the global Intelligent Farming Hardware market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2019 to 2030. Evaluation and forecast the market size for Intelligent Farming Hardware sales, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Texas Instruments, John Deere, AKVA Group, Robotics Plus, AGCO Corporation, GEA Farm Technologies, CropX, Trimble Inc and Yamaha, etc.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Intelligent Farming Hardware production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production, and development potential of each producer in the next six years.
Chapter 3: Sales (consumption), revenue of Intelligent Farming Hardware in global, 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 4: Detailed analysis of Intelligent Farming Hardware manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by Type, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by Application, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: North America (US & Canada) by Type, by Application and by country, sales, and revenue for each segment.
Chapter 8: Europe by Type, by Application and by country, sales, and revenue for each segment.
Chapter 9: China by Type, and by Application, sales, and revenue for each segment.
Chapter 10: Asia (excluding China) by Type, by Application and by region, sales, and revenue for each segment.
Chapter 11: Middle East, Africa, Latin America by Type, by Application and by country, sales, and revenue for each segment.
Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Intelligent Farming Hardware sales, revenue, price, gross margin, and recent development, etc.
Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.
Chapter 14: 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 15: The main points and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 Intelligent Farming Hardware Product Introduction
1.2 Market by Type
1.2.1 Global Intelligent Farming Hardware Market Size by Type, 2019 VS 2023 VS 2030
1.2.2 Smart Agriculture Sensor
1.2.3 Smart Agriculture Robot
1.2.4 Agricultural Drone
1.2.5 Others
1.3 Market by Application
1.3.1 Global Intelligent Farming Hardware Market Size by Application, 2019 VS 2023 VS 2030
1.3.2 Planting Agriculture
1.3.3 Horticulture
1.3.4 Livestock Monitoring
1.3.5 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Intelligent Farming Hardware Production
2.1 Global Intelligent Farming Hardware Production Capacity (2019-2030)
2.2 Global Intelligent Farming Hardware Production by Region: 2019 VS 2023 VS 2030
2.3 Global Intelligent Farming Hardware Production by Region
2.3.1 Global Intelligent Farming Hardware Historic Production by Region (2019-2024)
2.3.2 Global Intelligent Farming Hardware Forecasted Production by Region (2025-2030)
2.3.3 Global Intelligent Farming Hardware Production Market Share by Region (2019-2030)
2.4 North America
2.5 Europe
2.6 China
2.7 Japan
3 Executive Summary
3.1 Global Intelligent Farming Hardware Revenue Estimates and Forecasts 2019-2030
3.2 Global Intelligent Farming Hardware Revenue by Region
3.2.1 Global Intelligent Farming Hardware Revenue by Region: 2019 VS 2023 VS 2030
3.2.2 Global Intelligent Farming Hardware Revenue by Region (2019-2024)
3.2.3 Global Intelligent Farming Hardware Revenue by Region (2025-2030)
3.2.4 Global Intelligent Farming Hardware Revenue Market Share by Region (2019-2030)
3.3 Global Intelligent Farming Hardware Sales Estimates and Forecasts 2019-2030
3.4 Global Intelligent Farming Hardware Sales by Region
3.4.1 Global Intelligent Farming Hardware Sales by Region: 2019 VS 2023 VS 2030
3.4.2 Global Intelligent Farming Hardware Sales by Region (2019-2024)
3.4.3 Global Intelligent Farming Hardware Sales by Region (2025-2030)
3.4.4 Global Intelligent Farming Hardware Sales Market Share by Region (2019-2030)
3.5 US & Canada
3.6 Europe
3.7 China
3.8 Asia (excluding China)
3.9 Middle East, Africa and Latin America
4 Competition by Manufactures
4.1 Global Intelligent Farming Hardware Sales by Manufacturers
4.1.1 Global Intelligent Farming Hardware Sales by Manufacturers (2019-2024)
4.1.2 Global Intelligent Farming Hardware Sales Market Share by Manufacturers (2019-2024)
4.1.3 Global Top 10 and Top 5 Largest Manufacturers of Intelligent Farming Hardware in 2023
4.2 Global Intelligent Farming Hardware Revenue by Manufacturers
4.2.1 Global Intelligent Farming Hardware Revenue by Manufacturers (2019-2024)
4.2.2 Global Intelligent Farming Hardware Revenue Market Share by Manufacturers (2019-2024)
4.2.3 Global Top 10 and Top 5 Companies by Intelligent Farming Hardware Revenue in 2023
4.3 Global Intelligent Farming Hardware Sales Price by Manufacturers
4.4 Global Key Players of Intelligent Farming Hardware, Industry Ranking, 2022 VS 2023 VS 2024
4.5 Analysis of Competitive Landscape
4.5.1 Manufacturers Market Concentration Ratio (CR5 and HHI)
4.5.2 Global Intelligent Farming Hardware Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.6 Global Key Manufacturers of Intelligent Farming Hardware, Manufacturing Base Distribution and Headquarters
4.7 Global Key Manufacturers of Intelligent Farming Hardware, Product Offered and Application
4.8 Global Key Manufacturers of Intelligent Farming Hardware, Date of Enter into This Industry
4.9 Mergers & Acquisitions, Expansion Plans
5 Market Size by Type
5.1 Global Intelligent Farming Hardware Sales by Type
5.1.1 Global Intelligent Farming Hardware Historical Sales by Type (2019-2024)
5.1.2 Global Intelligent Farming Hardware Forecasted Sales by Type (2025-2030)
5.1.3 Global Intelligent Farming Hardware Sales Market Share by Type (2019-2030)
5.2 Global Intelligent Farming Hardware Revenue by Type
5.2.1 Global Intelligent Farming Hardware Historical Revenue by Type (2019-2024)
5.2.2 Global Intelligent Farming Hardware Forecasted Revenue by Type (2025-2030)
5.2.3 Global Intelligent Farming Hardware Revenue Market Share by Type (2019-2030)
5.3 Global Intelligent Farming Hardware Price by Type
5.3.1 Global Intelligent Farming Hardware Price by Type (2019-2024)
5.3.2 Global Intelligent Farming Hardware Price Forecast by Type (2025-2030)
6 Market Size by Application
6.1 Global Intelligent Farming Hardware Sales by Application
6.1.1 Global Intelligent Farming Hardware Historical Sales by Application (2019-2024)
6.1.2 Global Intelligent Farming Hardware Forecasted Sales by Application (2025-2030)
6.1.3 Global Intelligent Farming Hardware Sales Market Share by Application (2019-2030)
6.2 Global Intelligent Farming Hardware Revenue by Application
6.2.1 Global Intelligent Farming Hardware Historical Revenue by Application (2019-2024)
6.2.2 Global Intelligent Farming Hardware Forecasted Revenue by Application (2025-2030)
6.2.3 Global Intelligent Farming Hardware Revenue Market Share by Application (2019-2030)
6.3 Global Intelligent Farming Hardware Price by Application
6.3.1 Global Intelligent Farming Hardware Price by Application (2019-2024)
6.3.2 Global Intelligent Farming Hardware Price Forecast by Application (2025-2030)
7 US & Canada
7.1 US & Canada Intelligent Farming Hardware Market Size by Type
7.1.1 US & Canada Intelligent Farming Hardware Sales by Type (2019-2030)
7.1.2 US & Canada Intelligent Farming Hardware Revenue by Type (2019-2030)
7.2 US & Canada Intelligent Farming Hardware Market Size by Application
7.2.1 US & Canada Intelligent Farming Hardware Sales by Application (2019-2030)
7.2.2 US & Canada Intelligent Farming Hardware Revenue by Application (2019-2030)
7.3 US & Canada Intelligent Farming Hardware Sales by Country
7.3.1 US & Canada Intelligent Farming Hardware Revenue by Country: 2019 VS 2023 VS 2030
7.3.2 US & Canada Intelligent Farming Hardware Sales by Country (2019-2030)
7.3.3 US & Canada Intelligent Farming Hardware Revenue by Country (2019-2030)
7.3.4 United States
7.3.5 Canada
8 Europe
8.1 Europe Intelligent Farming Hardware Market Size by Type
8.1.1 Europe Intelligent Farming Hardware Sales by Type (2019-2030)
8.1.2 Europe Intelligent Farming Hardware Revenue by Type (2019-2030)
8.2 Europe Intelligent Farming Hardware Market Size by Application
8.2.1 Europe Intelligent Farming Hardware Sales by Application (2019-2030)
8.2.2 Europe Intelligent Farming Hardware Revenue by Application (2019-2030)
8.3 Europe Intelligent Farming Hardware Sales by Country
8.3.1 Europe Intelligent Farming Hardware Revenue by Country: 2019 VS 2023 VS 2030
8.3.2 Europe Intelligent Farming Hardware Sales by Country (2019-2030)
8.3.3 Europe Intelligent Farming Hardware Revenue by Country (2019-2030)
8.3.4 Germany
8.3.5 France
8.3.6 U.K.
8.3.7 Italy
8.3.8 Russia
9 China
9.1 China Intelligent Farming Hardware Market Size by Type
9.1.1 China Intelligent Farming Hardware Sales by Type (2019-2030)
9.1.2 China Intelligent Farming Hardware Revenue by Type (2019-2030)
9.2 China Intelligent Farming Hardware Market Size by Application
9.2.1 China Intelligent Farming Hardware Sales by Application (2019-2030)
9.2.2 China Intelligent Farming Hardware Revenue by Application (2019-2030)
10 Asia (excluding China)
10.1 Asia Intelligent Farming Hardware Market Size by Type
10.1.1 Asia Intelligent Farming Hardware Sales by Type (2019-2030)
10.1.2 Asia Intelligent Farming Hardware Revenue by Type (2019-2030)
10.2 Asia Intelligent Farming Hardware Market Size by Application
10.2.1 Asia Intelligent Farming Hardware Sales by Application (2019-2030)
10.2.2 Asia Intelligent Farming Hardware Revenue by Application (2019-2030)
10.3 Asia Intelligent Farming Hardware Sales by Region
10.3.1 Asia Intelligent Farming Hardware Revenue by Region: 2019 VS 2023 VS 2030
10.3.2 Asia Intelligent Farming Hardware Revenue by Region (2019-2030)
10.3.3 Asia Intelligent Farming Hardware Sales by Region (2019-2030)
10.3.4 Japan
10.3.5 South Korea
10.3.6 China Taiwan
10.3.7 Southeast Asia
10.3.8 India
11 Middle East, Africa and Latin America
11.1 Middle East, Africa and Latin America Intelligent Farming Hardware Market Size by Type
11.1.1 Middle East, Africa and Latin America Intelligent Farming Hardware Sales by Type (2019-2030)
11.1.2 Middle East, Africa and Latin America Intelligent Farming Hardware Revenue by Type (2019-2030)
11.2 Middle East, Africa and Latin America Intelligent Farming Hardware Market Size by Application
11.2.1 Middle East, Africa and Latin America Intelligent Farming Hardware Sales by Application (2019-2030)
11.2.2 Middle East, Africa and Latin America Intelligent Farming Hardware Revenue by Application (2019-2030)
11.3 Middle East, Africa and Latin America Intelligent Farming Hardware Sales by Country
11.3.1 Middle East, Africa and Latin America Intelligent Farming Hardware Revenue by Country: 2019 VS 2023 VS 2030
11.3.2 Middle East, Africa and Latin America Intelligent Farming Hardware Revenue by Country (2019-2030)
11.3.3 Middle East, Africa and Latin America Intelligent Farming Hardware Sales by Country (2019-2030)
11.3.4 Brazil
11.3.5 Mexico
11.3.6 Turkey
11.3.7 Israel
11.3.8 GCC Countries
12 Corporate Profiles
12.1 Texas Instruments
12.1.1 Texas Instruments Company Information
12.1.2 Texas Instruments Overview
12.1.3 Texas Instruments Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.1.4 Texas Instruments Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.1.5 Texas Instruments Recent Developments
12.2 John Deere
12.2.1 John Deere Company Information
12.2.2 John Deere Overview
12.2.3 John Deere Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.2.4 John Deere Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.2.5 John Deere Recent Developments
12.3 AKVA Group
12.3.1 AKVA Group Company Information
12.3.2 AKVA Group Overview
12.3.3 AKVA Group Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.3.4 AKVA Group Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.3.5 AKVA Group Recent Developments
12.4 Robotics Plus
12.4.1 Robotics Plus Company Information
12.4.2 Robotics Plus Overview
12.4.3 Robotics Plus Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.4.4 Robotics Plus Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.4.5 Robotics Plus Recent Developments
12.5 AGCO Corporation
12.5.1 AGCO Corporation Company Information
12.5.2 AGCO Corporation Overview
12.5.3 AGCO Corporation Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.5.4 AGCO Corporation Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.5.5 AGCO Corporation Recent Developments
12.6 GEA Farm Technologies
12.6.1 GEA Farm Technologies Company Information
12.6.2 GEA Farm Technologies Overview
12.6.3 GEA Farm Technologies Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.6.4 GEA Farm Technologies Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.6.5 GEA Farm Technologies Recent Developments
12.7 CropX
12.7.1 CropX Company Information
12.7.2 CropX Overview
12.7.3 CropX Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.7.4 CropX Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.7.5 CropX Recent Developments
12.8 Trimble Inc
12.8.1 Trimble Inc Company Information
12.8.2 Trimble Inc Overview
12.8.3 Trimble Inc Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.8.4 Trimble Inc Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.8.5 Trimble Inc Recent Developments
12.9 Yamaha
12.9.1 Yamaha Company Information
12.9.2 Yamaha Overview
12.9.3 Yamaha Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.9.4 Yamaha Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.9.5 Yamaha Recent Developments
12.10 Lely
12.10.1 Lely Company Information
12.10.2 Lely Overview
12.10.3 Lely Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.10.4 Lely Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.10.5 Lely Recent Developments
12.11 DeLaval
12.11.1 DeLaval Company Information
12.11.2 DeLaval Overview
12.11.3 DeLaval Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.11.4 DeLaval Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.11.5 DeLaval Recent Developments
12.12 YANMAR
12.12.1 YANMAR Company Information
12.12.2 YANMAR Overview
12.12.3 YANMAR Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.12.4 YANMAR Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.12.5 YANMAR Recent Developments
12.13 FarmBot
12.13.1 FarmBot Company Information
12.13.2 FarmBot Overview
12.13.3 FarmBot Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.13.4 FarmBot Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.13.5 FarmBot Recent Developments
12.14 Raven Industries
12.14.1 Raven Industries Company Information
12.14.2 Raven Industries Overview
12.14.3 Raven Industries Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.14.4 Raven Industries Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.14.5 Raven Industries Recent Developments
12.15 AG Leader Technology
12.15.1 AG Leader Technology Company Information
12.15.2 AG Leader Technology Overview
12.15.3 AG Leader Technology Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.15.4 AG Leader Technology Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.15.5 AG Leader Technology Recent Developments
12.16 TOPCON Positioning Systems
12.16.1 TOPCON Positioning Systems Company Information
12.16.2 TOPCON Positioning Systems Overview
12.16.3 TOPCON Positioning Systems Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.16.4 TOPCON Positioning Systems Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.16.5 TOPCON Positioning Systems Recent Developments
12.17 AG Junction
12.17.1 AG Junction Company Information
12.17.2 AG Junction Overview
12.17.3 AG Junction Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.17.4 AG Junction Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.17.5 AG Junction Recent Developments
12.18 Allflex
12.18.1 Allflex Company Information
12.18.2 Allflex Overview
12.18.3 Allflex Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.18.4 Allflex Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.18.5 Allflex Recent Developments
12.19 AeroFarms
12.19.1 AeroFarms Company Information
12.19.2 AeroFarms Overview
12.19.3 AeroFarms Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.19.4 AeroFarms Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.19.5 AeroFarms Recent Developments
12.20 Osram Licht AG
12.20.1 Osram Licht AG Company Information
12.20.2 Osram Licht AG Overview
12.20.3 Osram Licht AG Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.20.4 Osram Licht AG Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.20.5 Osram Licht AG Recent Developments
12.21 XAG
12.21.1 XAG Company Information
12.21.2 XAG Overview
12.21.3 XAG Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.21.4 XAG Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.21.5 XAG Recent Developments
12.22 Kebai Science
12.22.1 Kebai Science Company Information
12.22.2 Kebai Science Overview
12.22.3 Kebai Science Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.22.4 Kebai Science Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.22.5 Kebai Science Recent Developments
12.23 Shenzhen High-tech New Agriculture Technology
12.23.1 Shenzhen High-tech New Agriculture Technology Company Information
12.23.2 Shenzhen High-tech New Agriculture Technology Overview
12.23.3 Shenzhen High-tech New Agriculture Technology Intelligent Farming Hardware Sales, Price, Revenue and Gross Margin (2019-2024)
12.23.4 Shenzhen High-tech New Agriculture Technology Intelligent Farming Hardware Product Model Numbers, Pictures, Descriptions and Specifications
12.23.5 Shenzhen High-tech New Agriculture Technology Recent Developments
13 Industry Chain and Sales Channels Analysis
13.1 Intelligent Farming Hardware Industry Chain Analysis
13.2 Intelligent Farming Hardware Key Raw Materials
13.2.1 Key Raw Materials
13.2.2 Raw Materials Key Suppliers
13.3 Intelligent Farming Hardware Production Mode & Process
13.4 Intelligent Farming Hardware Sales and Marketing
13.4.1 Intelligent Farming Hardware Sales Channels
13.4.2 Intelligent Farming Hardware Distributors
13.5 Intelligent Farming Hardware Customers
14 Intelligent Farming Hardware Market Dynamics
14.1 Intelligent Farming Hardware Industry Trends
14.2 Intelligent Farming Hardware Market Drivers
14.3 Intelligent Farming Hardware Market Challenges
14.4 Intelligent Farming Hardware Market Restraints
15 Key Finding in The Global Intelligent Farming Hardware Study
16 Appendix
16.1 Research Methodology
16.1.1 Methodology/Research Approach
16.1.2 Data Source
16.2 Author Details
16.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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Intelligent Farming, 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. Intelligent Farming 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. This report mainly covers the Intelligent Farming senor and robot and other device. software and other service solution is not covered.
Published Date: 2024-02-06
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USD 2900.00
(Single User License)
Intelligent Farming, 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. Intelligent Farming 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. This report mainly covers the Intelligent Farming senor and robot and other device. software and other service solution is not covered.
Published Date: 2024-01-12
Pages: 160
USD 3950.00
(Single User License)
The global market for Intelligent Farming Hardware was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
Published: 2026-07-14
Pages: 162
The global Intelligent Farming Hardware market was valued at US$ million in 2025 and is anticipated to reach US$ million by 2032, at a CAGR of %from 2026 to 2032.
Published: 2026-04-21
Pages: 158
The global Intelligent Farming Hardware market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications, while evolving U.S. tariff policies introduce trade‑cost volatility and supply‑chain uncertainty.
Published: 2025-10-09
Pages: 193
The global Intelligent Farming Hardware market size was US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
Published: 2025-02-15
Pages: 120
The global market for Intelligent Farming Hardware was estimated to be worth US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
Published: 2025-02-15
Pages: 157
The global market for Intelligent Farming Hardware was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
Published: 2025-02-15
Pages: 120
Intelligent Farming, 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. Intelligent Farming 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. This report mainly covers the Intelligent Farming senor and robot and other device. software and other service solution is not covered.
Published: 2024-02-06
Pages: 127
Intelligent Farming, 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. Intelligent Farming 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. This report mainly covers the Intelligent Farming senor and robot and other device. software and other service solution is not covered.
Published: 2024-01-12
Pages: 160
REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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