
Global Smart Agriculture Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch's in-depth investigation and research, the global Smart Agriculture market size will reach 5,568.11 Million USD in 2025 and is projected to reach 10,349.90 Million USD by 2032, with a CAGR of 9.26% (2025-2032). Notably, the China Smart Agriculture market has changed rapidly in the past few years. By 2025, China's market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Smart agriculture, also known as precision agriculture or agri-tech, involves the integration of advanced technologies and data-driven solutions to optimize farming practices and increase agricultural productivity, efficiency, and sustainability. These technologies include sensors, drones, satellite imagery, GPS, artificial intelligence (AI), and the Internet of Things (IoT), which enable farmers to monitor and manage various aspects of their operations in real time. Smart agriculture systems provide insights into soil conditions, weather patterns, crop health, and resource usage, allowing farmers to make informed decisions about irrigation, fertilization, pest control, and harvesting. By leveraging data analytics and automation, smart agriculture helps minimize input costs, reduce environmental impacts, and maximize yields, thereby contributing to food security and the sustainable management of natural resources.
The major global suppliers of Smart Agriculture include Beijing Rural Credit Internet Technology Group, Guangzhou Jifei Technology, Shenzhen Fengnong Holdings, Beijing Century Guoyuan Technology, Beijing Brick Nongxin Technology Group, Chongqing Meicun Technology, Zhejiang Top Yunnong Technology, Beijing Aikonong Technology, Ag Leader Technology, AGCO Corporation, AgJunction, Inc., AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., Argus Control Systems Ltd, BouMatic Robotic B.V., CropMetrics LLC, CLAAS KGaA mbH, CropZilla, Deere & Company, DICKEY-john, DroneDeploy, Farmers Edge Inc, Grownetics, Inc., Granular, Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Trimble Inc., Topcon Positioning Systems, DeLaval Inc, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Smart Agriculture. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Smart Agriculture market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Smart Agriculture market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Smart Agriculture industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Smart Agriculture Include:
Beijing Rural Credit Internet Technology Group
Guangzhou Jifei Technology
Shenzhen Fengnong Holdings
Beijing Century Guoyuan Technology
Beijing Brick Nongxin Technology Group
Chongqing Meicun Technology
Zhejiang Top Yunnong Technology
Beijing Aikonong Technology
Ag Leader Technology
AGCO Corporation
AgJunction, Inc.
AgEagle Aerial Systems Inc.
Autonomous Solutions, Inc.
Argus Control Systems Ltd
BouMatic Robotic B.V.
CropMetrics LLC
CLAAS KGaA mbH
CropZilla
Deere & Company
DICKEY-john
DroneDeploy
Farmers Edge Inc
Grownetics, Inc.
Granular, Inc.
Gamaya
GEA Group Aktiengesellschaft
Raven Industries
Trimble Inc.
Topcon Positioning Systems
DeLaval Inc
Smart Agriculture Product Segment Include:
Machine Learning
Computer Vision
Predictive Analytics
Smart Agriculture Product Application Include:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Smart Agriculture Industry PESTEL Analysis
Chapter 3: Global Smart Agriculture Industry Porter's Five Forces Analysis
Chapter 4: Global Smart Agriculture Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Smart Agriculture Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Smart Agriculture Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Smart Agriculture Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch's in-depth investigation and research, the global Smart Agriculture market size will reach 5,568.11 Million USD in 2025 and is projected to reach 10,349.90 Million USD by 2032, with a CAGR of 9.26% (2025-2032). Notably, the China Smart Agriculture market has changed rapidly in the past few years. By 2025, China's market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Smart agriculture, also known as precision agriculture or agri-tech, involves the integration of advanced technologies and data-driven solutions to optimize farming practices and increase agricultural productivity, efficiency, and sustainability. These technologies include sensors, drones, satellite imagery, GPS, artificial intelligence (AI), and the Internet of Things (IoT), which enable farmers to monitor and manage various aspects of their operations in real time. Smart agriculture systems provide insights into soil conditions, weather patterns, crop health, and resource usage, allowing farmers to make informed decisions about irrigation, fertilization, pest control, and harvesting. By leveraging data analytics and automation, smart agriculture helps minimize input costs, reduce environmental impacts, and maximize yields, thereby contributing to food security and the sustainable management of natural resources.
The major global suppliers of Smart Agriculture include Beijing Rural Credit Internet Technology Group, Guangzhou Jifei Technology, Shenzhen Fengnong Holdings, Beijing Century Guoyuan Technology, Beijing Brick Nongxin Technology Group, Chongqing Meicun Technology, Zhejiang Top Yunnong Technology, Beijing Aikonong Technology, Ag Leader Technology, AGCO Corporation, AgJunction, Inc., AgEagle Aerial Systems Inc., Autonomous Solutions, Inc., Argus Control Systems Ltd, BouMatic Robotic B.V., CropMetrics LLC, CLAAS KGaA mbH, CropZilla, Deere & Company, DICKEY-john, DroneDeploy, Farmers Edge Inc, Grownetics, Inc., Granular, Inc., Gamaya, GEA Group Aktiengesellschaft, Raven Industries, Trimble Inc., Topcon Positioning Systems, DeLaval Inc, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Smart Agriculture. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Smart Agriculture market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Smart Agriculture market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Smart Agriculture industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Smart Agriculture Include:
Beijing Rural Credit Internet Technology Group
Guangzhou Jifei Technology
Shenzhen Fengnong Holdings
Beijing Century Guoyuan Technology
Beijing Brick Nongxin Technology Group
Chongqing Meicun Technology
Zhejiang Top Yunnong Technology
Beijing Aikonong Technology
Ag Leader Technology
AGCO Corporation
AgJunction, Inc.
AgEagle Aerial Systems Inc.
Autonomous Solutions, Inc.
Argus Control Systems Ltd
BouMatic Robotic B.V.
CropMetrics LLC
CLAAS KGaA mbH
CropZilla
Deere & Company
DICKEY-john
DroneDeploy
Farmers Edge Inc
Grownetics, Inc.
Granular, Inc.
Gamaya
GEA Group Aktiengesellschaft
Raven Industries
Trimble Inc.
Topcon Positioning Systems
DeLaval Inc
Smart Agriculture Product Segment Include:
Machine Learning
Computer Vision
Predictive Analytics
Smart Agriculture Product Application Include:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Smart Agriculture Industry PESTEL Analysis
Chapter 3: Global Smart Agriculture Industry Porter's Five Forces Analysis
Chapter 4: Global Smart Agriculture Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Smart Agriculture Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Smart Agriculture Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Smart Agriculture Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Smart Agriculture Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Smart Agriculture Product by Type
- 1.2.1 Machine Learning
- 1.2.2 Computer Vision
- 1.2.3 Predictive Analytics
- 1.3 Smart Agriculture Product by Application
- 1.3.1 Precision Farming
- 1.3.2 Livestock Monitoring
- 1.3.3 Drone Analytics
- 1.3.4 Agriculture Robots
- 1.3.5 Others
- 1.4 Global Smart Agriculture Market Size Analysis (2020-2032)
- 1.5 Smart Agriculture Market Development Status and Trends
- 1.5.1 Smart Agriculture Industry Development Status Analysis
- 1.5.2 Smart Agriculture Industry Development Trends Analysis
- 2 Smart Agriculture Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Smart Agriculture Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Smart Agriculture Market Analysis by Country
- 4.1 Global Smart Agriculture Market Size Analysis by Country: 2024 VS 2025 VS 2030
- 4.1.1 Global Smart Agriculture Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Smart Agriculture Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.5 China Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.6 France Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.14 India Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Smart Agriculture Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Smart Agriculture Market Revenue by Key Suppliers (2021-2025)
- 5.2 Smart Agriculture Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Smart Agriculture Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Smart Agriculture Market Analysis by Type
- 6.1 Global Smart Agriculture Market Size Analysis by Type: 2024 & 2025 & 2032
- 6.2 Global Smart Agriculture Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 Beijing Rural Credit Internet Technology Group
- 7.1.1 Beijing Rural Credit Internet Technology Group Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 Beijing Rural Credit Internet Technology Group Smart Agriculture Product Portfolio
- 7.1.3 Beijing Rural Credit Internet Technology Group Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 Guangzhou Jifei Technology
- 7.2.1 Guangzhou Jifei Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Guangzhou Jifei Technology Smart Agriculture Product Portfolio
- 7.2.3 Guangzhou Jifei Technology Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Shenzhen Fengnong Holdings
- 7.3.1 Shenzhen Fengnong Holdings Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Shenzhen Fengnong Holdings Smart Agriculture Product Portfolio
- 7.3.3 Shenzhen Fengnong Holdings Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Beijing Century Guoyuan Technology
- 7.4.1 Beijing Century Guoyuan Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Beijing Century Guoyuan Technology Smart Agriculture Product Portfolio
- 7.4.3 Beijing Century Guoyuan Technology Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Beijing Brick Nongxin Technology Group
- 7.5.1 Beijing Brick Nongxin Technology Group Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Beijing Brick Nongxin Technology Group Smart Agriculture Product Portfolio
- 7.5.3 Beijing Brick Nongxin Technology Group Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 Chongqing Meicun Technology
- 7.6.1 Chongqing Meicun Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 Chongqing Meicun Technology Smart Agriculture Product Portfolio
- 7.6.3 Chongqing Meicun Technology Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Zhejiang Top Yunnong Technology
- 7.7.1 Zhejiang Top Yunnong Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Zhejiang Top Yunnong Technology Smart Agriculture Product Portfolio
- 7.7.3 Zhejiang Top Yunnong Technology Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Beijing Aikonong Technology
- 7.8.1 Beijing Aikonong Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Beijing Aikonong Technology Smart Agriculture Product Portfolio
- 7.8.3 Beijing Aikonong Technology Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 Ag Leader Technology
- 7.9.1 Ag Leader Technology Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 Ag Leader Technology Smart Agriculture Product Portfolio
- 7.9.3 Ag Leader Technology Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 AGCO Corporation
- 7.10.1 AGCO Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 AGCO Corporation Smart Agriculture Product Portfolio
- 7.10.3 AGCO Corporation Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 AgJunction, Inc.
- 7.11.1 AgJunction, Inc. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 AgJunction, Inc. Smart Agriculture Product Portfolio
- 7.11.3 AgJunction, Inc. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 AgEagle Aerial Systems Inc.
- 7.12.1 AgEagle Aerial Systems Inc. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 AgEagle Aerial Systems Inc. Smart Agriculture Product Portfolio
- 7.12.3 AgEagle Aerial Systems Inc. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 Autonomous Solutions, Inc.
- 7.13.1 Autonomous Solutions, Inc. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 Autonomous Solutions, Inc. Smart Agriculture Product Portfolio
- 7.13.3 Autonomous Solutions, Inc. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Argus Control Systems Ltd
- 7.14.1 Argus Control Systems Ltd Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Argus Control Systems Ltd Smart Agriculture Product Portfolio
- 7.14.3 Argus Control Systems Ltd Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 BouMatic Robotic B.V.
- 7.15.1 BouMatic Robotic B.V. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 BouMatic Robotic B.V. Smart Agriculture Product Portfolio
- 7.15.3 BouMatic Robotic B.V. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 CropMetrics LLC
- 7.16.1 CropMetrics LLC Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 CropMetrics LLC Smart Agriculture Product Portfolio
- 7.16.3 CropMetrics LLC Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.17 CLAAS KGaA mbH
- 7.17.1 CLAAS KGaA mbH Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.17.2 CLAAS KGaA mbH Smart Agriculture Product Portfolio
- 7.17.3 CLAAS KGaA mbH Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.18 CropZilla
- 7.18.1 CropZilla Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.18.2 CropZilla Smart Agriculture Product Portfolio
- 7.18.3 CropZilla Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.19 Deere & Company
- 7.19.1 Deere & Company Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.19.2 Deere & Company Smart Agriculture Product Portfolio
- 7.19.3 Deere & Company Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.20 DICKEY-john
- 7.20.1 DICKEY-john Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.20.2 DICKEY-john Smart Agriculture Product Portfolio
- 7.20.3 DICKEY-john Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.21 DroneDeploy
- 7.21.1 DroneDeploy Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.21.2 DroneDeploy Smart Agriculture Product Portfolio
- 7.21.3 DroneDeploy Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.22 Farmers Edge Inc
- 7.22.1 Farmers Edge Inc Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.22.2 Farmers Edge Inc Smart Agriculture Product Portfolio
- 7.22.3 Farmers Edge Inc Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.23 Grownetics, Inc.
- 7.23.1 Grownetics, Inc. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.23.2 Grownetics, Inc. Smart Agriculture Product Portfolio
- 7.23.3 Grownetics, Inc. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.24 Granular, Inc.
- 7.24.1 Granular, Inc. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.24.2 Granular, Inc. Smart Agriculture Product Portfolio
- 7.24.3 Granular, Inc. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.25 Gamaya
- 7.25.1 Gamaya Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.25.2 Gamaya Smart Agriculture Product Portfolio
- 7.25.3 Gamaya Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.26 GEA Group Aktiengesellschaft
- 7.26.1 GEA Group Aktiengesellschaft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.26.2 GEA Group Aktiengesellschaft Smart Agriculture Product Portfolio
- 7.26.3 GEA Group Aktiengesellschaft Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.27 Raven Industries
- 7.27.1 Raven Industries Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.27.2 Raven Industries Smart Agriculture Product Portfolio
- 7.27.3 Raven Industries Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.28 Trimble Inc.
- 7.28.1 Trimble Inc. Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.28.2 Trimble Inc. Smart Agriculture Product Portfolio
- 7.28.3 Trimble Inc. Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.29 Topcon Positioning Systems
- 7.29.1 Topcon Positioning Systems Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.29.2 Topcon Positioning Systems Smart Agriculture Product Portfolio
- 7.29.3 Topcon Positioning Systems Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.30 DeLaval Inc
- 7.30.1 DeLaval Inc Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.30.2 DeLaval Inc Smart Agriculture Product Portfolio
- 7.30.3 DeLaval Inc Smart Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Smart Agriculture Industry Chain Analysis
- 8.2 Smart Agriculture Product Downstream Application Analysis
- 8.2.1 Global Smart Agriculture Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Smart Agriculture Revenue and Forecast by Application (2020-2032)
- 8.3 Smart Agriculture Typical Downstream Customers
- 8.4 Smart Agriculture Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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