Global Smart Agriculture Market Size, Competition Landscape and Supply Chain Research Report 2025

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 WENKH research statistics, the global Smart Agriculture market size will reach 5,741 Million USD in 2025 and is projected to reach 10,941 Million USD by 2032, with a CAGR of 9.65% (2025-2032). Among them, the Asia-Pacific Smart Agriculture market is undergoing rapid changes, reaching Million USD in 2025, accounting for approximately % of the global market share. It is projected to reach Million USD by 2032.

The global Smart Agriculture market is highly competitive, with key market players including 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. This report categorizes the competitive landscape of the global Smart Agriculture market into three tiers based on annual revenue, with the top three market players holding approximately  % of the total market share.

This report provides an in-depth analysis of the global Smart Agriculture market, including market size, price trends, market status and future development prospects. It particularly focuses on the market share, product characteristics, pricing, sales revenue, and gross profit margin of major players in the global Smart Agriculture industry. Additionally, this report provides an in-depth analysis of the market status and future development trends of different product segments of Smart Agriculture and their downstream application fields.

In terms of data, this report includes a comprehensive time-series dataset. The historical data spans from 2020 to 2024, providing a solid foundation for analyzing past market trends. The year 2025 is used as a base year to accurately assess the current market landscape. Forecast data covers the period from 2026 to 2032, utilizing scientific analysis methods and models to offer forward-looking predictions and insights into the market's future development. This provides valuable reference information for industry participants and stakeholders.

The report covers regions and countries including North America, Europe, China, Asia Pacific (excluding China), Latin America, the Middle East, and Africa. It particularly focuses on the sales revenue of Smart Agriculture in these regions and countries, as well as the market share of key market players in each region. The report provides an in-depth analysis of the regional distribution and future development trends of the Smart Agriculture market. By considering local policies, this report evaluates the market prospects of Smart Agriculture in each region and country, aiming to help companies gain a comprehensive understanding of the industry characteristics and development potential in different regions, optimize regional business layout, and develop precise market strategies to achieve global development goals.

This report places a strong emphasis on data quality and reliability, utilizing diverse and extensive data sources to ensure the accuracy and validity of the information presented. Primary data collection involves multiple channels, including in-depth interviews with senior executives, industry experts, supply chain stakeholders, and end consumers. These interviews provide key insights into corporate strategic planning, industry policy interpretation, supply chain dynamics, and end-user experiences. Secondary data sources cover a wide range of authoritative statistics from government agencies, customs databases, industry associations, third-party paid databases, brokerage research reports, academic research findings, corporate annual reports, financial statements, real-time news updates, and relevant information from international organizations. These data sources serve as a solid foundation for verification and analysis.

Companies Covered

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

Product Segment

Machine Learning

Computer Vision

Predictive Analytics

Product Application

Precision Farming

Livestock Monitoring

Drone Analytics

Agriculture Robots

Others

Chapter Scope

Chapter 1: Product Statistical Scope, Product Segmentation Types and Downstream Applications, Overall Market Size, Current Status and Development Prospects

Chapter 2: Global Smart Agriculture Industry Chain Analysis

Chapter 3: Global Smart Agriculture Industry Environment Analysis and Porter's Five Forces Analysis

Chapter 4: Analysis of the Competitive Landscape of Major Companies in the Global Smart Agriculture Market (Market Share, Product Revenue Comparison, Tier Division, Corporate Expansion and M&A Trends)

Chapter 5: Analysis of Global Major Companies (Company Profiles, Product Features and Product Segment, Product Revenue, Product Average Price, Gross Profit Margin and Geographical Sales Share)

Chapter 6: Global Smart Agriculture Product Segment and Downstream Application Size Analysis and Major Regional Market Size Analysis

Chapter 7: North America Smart Agriculture Product Segment, Downstream Application, and Major Countries Market Size Analysis

Chapter 8: Europe Smart Agriculture Product Segment, Downstream Application, and Major Countries Market Size Analysis

Chapter 9: China Smart Agriculture Product Segment, Downstream Application, and Major Countries Market Size Analysis

Chapter 10: Asia Pacific (excluding China) Smart Agriculture Product Segment, Downstream Application, and Major Countries Market Size Analysis

Chapter 11: Latin America Smart Agriculture Product Segment, Downstream Application, and Major Countries Market Size Analysis

Chapter 12: Middle East and Africa Smart Agriculture Product Segment, Downstream Application, and Major Countries Market Size Analysis

Chapter 13: Research Conclusion

Chapter 14: Methodology and Data Source

Purpose and Value of the Report

Market Trend Insights: Analyze industry trends, market dynamics, and future growth potential to help companies forecast changes and develop strategic plans.

Competitive Landscape Analysis: Understand key players' revenue segmentation, strategies, market share, and business models to guide competitive decisions.

Investment Decision Support: Provide feasibility analysis through market size, growth rate, demand trends, and potential risks for informed investment decisions.

Target Customer and Demand Analysis: Examine consumer behavior, purchasing preferences, and pain points to optimize products and improve market penetration.

Policy and Regulatory Insights: Interpret relevant industry policies to ensure compliance and mitigate regulatory risks.

Business Model Optimization: Offer data-driven suggestions for enhancing business models and improving profitability.