세계의 디지털 농업 시장 예측(2025-2030년)

The Global Digital Agriculture Market is set to soar from USD 21.405 billion in 2025 to USD 35.906 billion by 2030, achieving a 10.90% CAGR.

The global digital agriculture market is set for robust growth, driven by increasing concerns over food security and the need for enhanced crop productivity and health. Digital agriculture integrates advanced technologies, such as IoT, AI, and satellite-based crop monitoring, into cohesive systems to optimize farming practices for stakeholders like farmers and researchers. The market is fueled by rising consumer demand for healthier, sustainable food and animal feed, alongside the pressure to reduce chemical usage. Investments in precision farming technologies are growing, supporting higher yields and efficient resource use. Challenges include high implementation costs and limited technological access in developing regions, which may hinder widespread adoption.

Market Drivers

Rising concerns about crop productivity and health are key drivers, as consumer awareness of nutritional and sustainable food options increases. Farmers face pressure to produce more with fewer chemicals, boosting demand for IoT tools like GPS-enabled tractors, which enhance planting efficiency and conserve fuel and time. Crop monitoring systems, leveraging satellite imagery for real-time vegetation index analysis, are gaining traction for their reliability, consistent data, and wide coverage. These systems enable farmers to detect crop health issues early and take corrective actions, improving yields and farm sustainability. The global push for food security, with a projected population of 9.7 billion by 2050 (FAO), further amplifies the need for digital agriculture solutions.

Market Constraints

High costs of deploying advanced technologies, such as IoT devices and AI systems, pose barriers, particularly for small-scale farmers in developing regions. Limited infrastructure and technical expertise in these areas further restrict adoption. Additionally, data privacy concerns and the complexity of integrating multiple technologies into cohesive systems may slow market growth.

Market Segmentation

The digital agriculture market is segmented by technology, application, and geography. Technologies include IoT, AI, satellite monitoring, and precision farming tools, with IoT and satellite systems leading due to their impact on efficiency. Applications cover crop monitoring, soil management, and yield optimization, with crop monitoring dominating due to its role in real-time farm management. Geographically, the market spans North America, Europe, Asia Pacific, South America, and the Middle East and Africa, with growth driven by regional agricultural priorities and technological adoption.

Geographical Outlook

North America, particularly the United States, is expected to hold a significant market share, driven by substantial investments in precision farming and a robust agricultural sector. The Asia Pacific region is poised for rapid growth, fueled by population growth, rising food demand, and increasing adoption of digital tools in countries like China and India. Europe, South America, and the Middle East and Africa are anticipated to see steady growth as digital infrastructure expands.

Competitive Landscape

Key players are investing in IoT, AI, and satellite-based solutions to enhance farm productivity. Companies focus on partnerships and product innovations to deliver comprehensive digital farming solutions, addressing crop health and yield challenges. Strategic collaborations with technology providers strengthen market positions.

Opportunities and Challenges

Opportunities lie in expanding IoT and AI applications to meet global food security needs and targeting high-growth regions with supportive policies. Challenges include addressing cost barriers and improving technological access in developing markets. Industry experts should prioritize scalable, cost-effective solutions and farmer education to drive the digital agriculture market's growth in a food-security-focused landscape.

Key Benefits of this Report:

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
• Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

• Historical data from 2022 to 2024 & forecast data from 2025 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

The Digital Agriculture Market is analyzed into the following segments:

By Type

• Crop Monitoring
• Artificial Intelligence
• Precision Farming

By Application

• Field Mapping
• Crop Scouting
• Weather Tracking
• Drone Analytics
• Financial Management
• Farm Inventory Management
• Others

By Geography

• North America
• USA
• Canada
• Mexico
• South America
• Brazil
• Argentina
• Others
• Europe
• Germany
• France
• United Kingdom
• Spain
• Others
• Middle East and Africa
• Saudi Arabia
• UAE
• Others
• Asia Pacific
• China
• India
• Japan
• South Korea
• Indonesia
• Thailand
• Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

• 2.1. Market Overview
• 2.2. Market Definition
• 2.3. Scope of the Study
• 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

• 3.1. Market Drivers
• 3.2. Market Restraints
• 3.3. Market Opportunities
• 3.4. Porter's Five Forces Analysis
• 3.5. Industry Value Chain Analysis
• 3.6. Policies and Regulations
• 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. GLOBAL DIGITAL AGRICULTURE MARKET BY TYPE

• 5.1. Introduction
• 5.2. Crop monitoring
• 5.3. Artificial Intelligence
• 5.4. Precision farming

6. GLOBAL DIGITAL AGRICULTURE MARKET BY APPLICATION

• 6.1. Introduction
• 6.2. Field Mapping
• 6.3. Crop scouting
• 6.4. Weather tracking
• 6.5. Drone analytics
• 6.6. Financial Management
• 6.7. Farm inventory management
• 6.8. Others

7. GLOBAL DIGITAL AGRICULTURE MARKET BY GEOGRAPHY

• 7.1. Introduction
• 7.2. North America
  • 7.2.1. USA
  • 7.2.2. Canada
  • 7.2.3. Mexico
• 7.3. South America
  • 7.3.1. Brazil
  • 7.3.2. Argentina
  • 7.3.3. Others
• 7.4. Europe
  • 7.4.1. Germany
  • 7.4.2. France
  • 7.4.3. United Kingdom
  • 7.4.4. Spain
  • 7.4.5. Others
• 7.5. Middle East and Africa
  • 7.5.1. Saudi Arabia
  • 7.5.2. UAE
  • 7.5.3. Others
• 7.6. Asia Pacific
  • 7.6.1. China
  • 7.6.2. India
  • 7.6.3. Japan
  • 7.6.4. South Korea
  • 7.6.5. Indonesia
  • 7.6.6. Thailand
  • 7.6.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 8.1. Major Players and Strategy Analysis
• 8.2. Market Share Analysis
• 8.3. Mergers, Acquisitions, Agreements, and Collaborations
• 8.4. Competitive Dashboard

9. COMPANY PROFILES

• 9.1. IBM Corporation
• 9.2. Microsoft Corporation
• 9.3. HummingBird Technologies
• 9.4. AGCO Corporation
• 9.5. Gamaya SA
• 9.6. Bayer CropScience AG
• 9.7. Deere & Company
• 9.8. Easytosee Agtech
• 9.9. Small Robot Company
• 9.10. Raven Industries

10. APPENDIX

• 10.1. Currency
• 10.2. Assumptions
• 10.3. Base and Forecast Years Timeline
• 10.4. Key benefits for the stakeholders
• 10.5. Research Methodology
• 10.6. Abbreviations