자율형 농업기계 시장 예측(-2032년) : 유형별, 컴포넌트별, 자율 레벨별, 동력원별, 기술별, 용도별, 지역별 세계 분석

According to Stratistics MRC, the Global Autonomous Agricultural Machinery Market is accounted for $17.10 billion in 2025 and is expected to reach $42.78 billion by 2032 growing at a CAGR of 14.0% during the forecast period. Autonomous agricultural machinery encompasses self-driving farm equipment capable of performing diverse agricultural activities with little or no human involvement. Equipped with technologies like AI, robotics, GPS, and sensors, these machines can navigate fields, assess crops, and execute tasks such as planting, harvesting, spraying, and soil treatment accurately. By minimizing labor reliance, boosting efficiency, and ensuring optimal resource utilization, these systems increase productivity, reduce costs, and promote sustainable farming, thereby advancing modern agriculture through innovative and technology-driven solutions.

Market Dynamics:

Driver:

Rising demand for precision farming

Farmers are increasingly using data-driven technologies to optimize input usage, improve crop yields, and reduce operational costs. Autonomous machinery enables precise field operations such as seeding, spraying, and harvesting with minimal human intervention. The integration of GPS, AI, and sensor-based systems is enhancing accuracy and decision-making at the farm level. Rising pressure to increase productivity on limited arable land is further accelerating technology adoption. Large-scale farms are particularly investing in automation to manage labor shortages and improve efficiency. As digital agriculture matures, demand for autonomous solutions continues to strengthen globally.

Restraint:

Lack of technical expertise

Operating and maintaining advanced autonomous systems requires expertise in software, robotics, and data analytics. Many farmers, especially in developing regions, lack adequate training to fully utilize these technologies. The complexity of system integration with existing farm equipment further adds to adoption challenges. Dependence on external technicians increases operational costs and downtime. Small and medium-sized farms often hesitate to invest due to perceived technical risks. This skills gap continues to slow large-scale deployment despite technological readiness.

Opportunity:

Focus on environmental sustainability

Automated systems enable precise application of fertilizers, pesticides, and water, reducing waste and environmental impact. Governments and regulatory bodies are encouraging sustainable farming practices through incentives and policy support. Autonomous equipment supports conservation agriculture by minimizing soil compaction and optimizing field operations. The ability to monitor crops in real time helps reduce chemical overuse and greenhouse gas emissions. Growing consumer demand for sustainably produced food is influencing farmers' investment decisions. As sustainability becomes central to agriculture, autonomous solutions are gaining strategic importance.

Threat:

Cybersecurity and data privacy

Cybersecurity and data privacy concerns pose a notable threat to the autonomous agricultural machinery market. These systems rely heavily on connected platforms, cloud storage, and real-time data exchange. Unauthorized access or cyberattacks can disrupt farm operations and compromise sensitive data. Farmers are increasingly cautious about sharing field and yield data with third-party technology providers. Lack of standardized security frameworks across agricultural technologies increases vulnerability. Any major breach could reduce trust and slow adoption of autonomous systems.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the autonomous agricultural machinery market. Initial lockdowns disrupted manufacturing, supply chains, and equipment deliveries across regions. Labor shortages during the pandemic highlighted the importance of automation in maintaining farm operations. Many farmers accelerated interest in autonomous machinery to reduce dependence on manual labor. However, economic uncertainty delayed capital investments, particularly among smallholders. The pandemic also encouraged remote monitoring and digital farm management solutions. Post-COVID, resilience and automation have become central themes in agricultural modernization strategies.

The autonomous tractors segment is expected to be the largest during the forecast period

The autonomous tractors segment is expected to account for the largest market share during the forecast period, due to these machines are widely used for core farming activities such as plowing, tilling, planting, and hauling. Their ability to operate continuously with minimal supervision significantly improves farm productivity. Advancements in AI navigation and obstacle detection have enhanced safety and reliability. Large farms are adopting autonomous tractors to address rising labor costs and workforce shortages. Manufacturers are focusing on scalable and retrofit-ready tractor solutions.

The crop monitoring & scouting segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the crop monitoring & scouting segment is predicted to witness the highest growth rate, driven by the increasing need for real-time crop health assessment and early disease detection. Autonomous drones and ground-based robots enable frequent and accurate field inspections. The use of multispectral imaging and AI analytics improves yield forecasting and input optimization. Farmers are leveraging these solutions to make timely and informed agronomic decisions. Rising adoption of precision agriculture tools is accelerating segment expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the region benefits from high technology adoption and well-established agricultural infrastructure. Farmers in the U.S. and Canada are early adopters of automation and precision farming solutions. Strong presence of leading machinery manufacturers supports innovation and commercialization. Government support for smart agriculture and digital farming initiatives further drives growth. Large farm sizes in the region favor investments in autonomous equipment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to increasing pressure on food production across the region. Countries such as China, India, and Japan are investing in agricultural mechanization and smart farming technologies. Rising labor shortages in rural areas are encouraging automation adoption. Government programs promoting digital agriculture are supporting market expansion. Local manufacturers are also emerging with cost-effective autonomous solutions.

Key players in the market

Some of the key players in Autonomous Agricultural Machinery Market include John Deere, DJI, AGCO Corporation, Harvest CROO Robotics, CNH Industrial N.V., SwarmFarm Robotics, Kubota Corporation, Blue River Technology, CLAAS Group, Agrobot, Yanmar Holdings Co., Ltd., Naio Technologies, Mahindra & Mahindra Ltd., Autonomous Solutions, Inc., and Trimble Inc.

Key Developments:

In December 2025, Deere & Company entered into an agreement to acquire Tenna, a construction technology company, and a holding of The Conti Group, that offers mixed-fleet equipment operations and asset tracking solutions. Tenna will continue to operate as an independent business marketed directly to construction customers under the Tenna tradename and will focus on scaling and growing the business through its proven mixed-fleet customer-focused business model.

In September 2025, AGCO announced its signing of a Virtual Power Purchase Agreement (VPPA) in partnership with BRUC, one of the largest renewable energy groups in Spain. The agreement marks a significant milestone in AGCO's renewable energy strategy and helps reduce its Scope 2 greenhouse gas emissions relating to its indirect onsite purchased electricity.

Types Covered:

• Autonomous Tractors
• Autonomous Harvesters
• Autonomous Sprayers & Spreaders
• Autonomous Planters & Seeders
• Autonomous Drone Systems
• Other Types

Components Covered:

• Hardware
• Software
• Services

Autonomy Levels Covered:

• Level 1 - Driver Assistance
• Level 2 - Partial Automation
• Level 3 - Conditional Automation
• Level 4 - High Automation
• Level 5 - Full Automation

Power Sources Covered:

• Electric
• Diesel/Hybrid
• Solar-assisted Systems
• Alternative Fuels

Technologies Covered:

• GPS-based Guidance Systems
• LiDAR & Radar Systems
• Computer Vision & AI
• GNSS
• Sensors & IoT Integration
• Edge Computing & Machine Learning

Applications Covered:

• Tillage & Soil Preparation
• Planting & Seeding
• Crop Monitoring & Scouting
• Fertigation & Spraying
• Harvesting & Yield Management
• Post-Harvest Operations
• Other Applications

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Technology Analysis
• 3.7 Application Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Autonomous Agricultural Machinery Market, By Type

• 5.1 Introduction
• 5.2 Autonomous Tractors
• 5.3 Autonomous Harvesters
• 5.4 Autonomous Sprayers & Spreaders
• 5.5 Autonomous Planters & Seeders
• 5.6 Autonomous Drone Systems
• 5.7 Other Types

6 Global Autonomous Agricultural Machinery Market, By Component

• 6.1 Introduction
• 6.2 Hardware
  • 6.2.1 Sensors
  • 6.2.2 Control Units
  • 6.2.3 Communication Modules
• 6.3 Software
  • 6.3.1 Navigation Software
  • 6.3.2 Fleet Management
  • 6.3.3 Analytics & Data Platforms
• 6.4 Services
  • 6.4.1 Installation & Integration
  • 6.4.2 Maintenance & Support
  • 6.4.3 Training & Consultation

7 Global Autonomous Agricultural Machinery Market, By Autonomy Level

• 7.1 Introduction
• 7.2 Level 1 - Driver Assistance
• 7.3 Level 2 - Partial Automation
• 7.4 Level 3 - Conditional Automation
• 7.5 Level 4 - High Automation
• 7.6 Level 5 - Full Automation

8 Global Autonomous Agricultural Machinery Market, By Power Source

• 8.1 Introduction
• 8.2 Electric
• 8.3 Diesel/Hybrid
• 8.4 Solar-assisted Systems
• 8.5 Alternative Fuels

9 Global Autonomous Agricultural Machinery Market, By Technology

• 9.1 Introduction
• 9.2 GPS-based Guidance Systems
• 9.3 LiDAR & Radar Systems
• 9.4 Computer Vision & AI
• 9.5 GNSS
• 9.6 Sensors & IoT Integration
• 9.7 Edge Computing & Machine Learning

10 Global Autonomous Agricultural Machinery Market, By Application

• 10.1 Introduction
• 10.2 Tillage & Soil Preparation
• 10.3 Planting & Seeding
• 10.4 Crop Monitoring & Scouting
• 10.5 Fertigation & Spraying
• 10.6 Harvesting & Yield Management
• 10.7 Post-Harvest Operations
• 10.8 Other Applications

11 Global Autonomous Agricultural Machinery Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 John Deere
• 13.2 DJI
• 13.3 AGCO Corporation
• 13.4 Harvest CROO Robotics
• 13.5 CNH Industrial N.V.
• 13.6 SwarmFarm Robotics
• 13.7 Kubota Corporation
• 13.8 Blue River Technology
• 13.9 CLAAS Group
• 13.10 Agrobot
• 13.11 Yanmar Holdings Co., Ltd.
• 13.12 Naio Technologies
• 13.13 Mahindra & Mahindra Ltd.
• 13.14 Autonomous Solutions, Inc.
• 13.15 Trimble Inc.