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.
According to DIResearch's in-depth investigation and research, the global Smart Agriculture market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers 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 manufacturers, 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 North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, 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 Manufacturers 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 Trends
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 and Forecast Analysis
Chapter 5: Global Smart Agriculture Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Smart Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Smart Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Smart Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Smart Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Smart Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Smart Agriculture Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Smart Agriculture Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
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