농업용 로봇 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the agricultural robots market is projected to expand from USD 15.2 billion in 2025 and USD 18.0 billion in 2026 to USD 41.3 billion by 2031, registering a CAGR of 18.07% between 2026 to 2031.

This report is Segmented by Product Type (Driverless Tractors, Unmanned Aerial Vehicles and Drones, Milking Robots, and More), by Application (Crop Farming, Livestock Management, Dairy Management, Aquaculture, and More), by Component (Hardware, Software, and Services), and by Geography (North America, South America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

Global Agricultural Robots Market Trends and Insights

Accelerating Labor Shortages in Industrialized Farming Nations

Farm labor scarcity is reshaping capital-allocation priorities across the United States, Europe, and Japan. In the United States, only 637,000 hired crop workers were counted in April 2025, despite the temporary worker visa program issuing 310,676 visas in 2023, indicating that guest-worker inflows cannot fully offset domestic labor exits. Japan projects that its farmer population will plunge below one million by 2030, with an average age surpassing 68 years, and similar demographic pressures are also haunting Germany, France, and the Netherlands. Specialty crops such as strawberries and apples, which still depend on hand-picking, face the greatest risk because scheduling errors or sudden worker shortages can wipe out full-season profits. Autonomous harvesters that replicate repetitive human motions offer an economic breakeven once hourly labor costs exceed USD 18, a threshold already surpassed in California and Western Europe, as growers redesign orchards and row spacing to accommodate machines. Labor savings compound over multiple seasons. Because a full crop cycle is needed to embed new practices, the impact on market growth is concentrated in the medium term.

Declining Price of Machine-Vision Cameras and LiDAR

Rapid cost deflation in sensors is lowering entry barriers for both equipment makers and growers. Solid-state LiDAR units, which cost USD 10,000 in 2020, dropped below USD 1,000 by late 2024, a 90% reduction driven by economies of scale in the automotive sector. Camera modules with onboard inference chips decreased in price from USD 500 to under USD 150 per unit between 2022 and 2025. Deere integrated Nvidia Jetson edge-AI boards into its See and Spray Ultimate platform to process 20 images per second and trigger nozzles within 50 milliseconds, slashing herbicide volumes by up to 80%. Lower sensor bills shorten product development cycles, encourage modular designs, and open doors for regional manufacturers that could not previously afford expensive research and development. The affordability gains materialize immediately upon shipment, resulting in a significant short-term growth contribution.

Inter-Operability Gaps Among Multi-Vendor Farm Platforms

Most equipment brands maintain proprietary data formats that prevent seamless coordination across mixed fleets. Deere Operations Center, CNH Industrial Raven Autonomy, and AGCO Fuse each apply unique message protocols, forcing growers either to standardize on one supplier or invest in middleware integration. The Agricultural Industry Electronics Foundation has published ISO 11783 standards. However, vendors often add private extensions to protect their competitive moats. Farmers who attempt cross-brand automation confront data silos, incompatible map layers, and duplicative subscriptions. Integration consulting can inflate the total cost of ownership and slow project rollouts. Because standards adoption historically stretches over five to seven years, the restraint's drag on market growth is classified as medium-term.

Other drivers and restraints analyzed in the detailed report include:

1. Venture-Capital Influx into Autonomous Harvesting Start-Ups
2. Synergistic use of Agricultural Robots with Carbon-Credit Platforms
3. Low Internet of Things Coverage in Rural Zones

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Unmanned aerial vehicles and drones captured 36.0% of the agricultural robots market share in 2025 as growers embraced their dual ability to scout fields and spray inputs with centimeter-accurate targeting. The DJI Agras T50 drone carries a 40-kilogram payload and covers 20 hectares per hour, trimming application time by 60% compared to ground sprayers. The large-scale adoption of aerial robots in rice and wheat paddies across China and Southeast Asia highlights the ease of integrating them into existing workflows. Notably, data gathered by drones feeds into variable-rate fertilizer models, linking equipment spending to tangible yield gains. Hardware manufacturers are layering subscription-based analytics on top of one-time drone sales, turning flight data into recurring revenue streams. As satellite imagery improves, drones continue to hold an edge in spatial resolution and flexible deployment windows, thereby preserving their leadership across various crop types.

Harvesting and picking robots are projected to grow at a CAGR of 18.9% between 2026 and 2031, the fastest trajectory in the agricultural robots market. Orchard platforms that once moved workers now carry robotic arms to pick apples, peaches, and berries. Soft-grip end-effectors and machine-vision cameras track fruit ripeness, while laser targeting reduces bruising and boosts pack-out rates. Laser weeding systems from Carbon Robotics already demonstrate field-ready durability, removing 5,000 weeds per minute. Venture funding is accelerating commercial pilots across California, Washington, and New South Wales, with service providers guaranteeing per-acre cost parity with seasonal labor by the third season. As controlled-environment agriculture expands, robots tailored to greenhouse tomatoes, cucumbers, and leafy greens will further diversify revenue, driving the category's out-performances.

Crop farming commanded a 44.0% market share of agricultural robots in 2025, as growers of corn, soybeans, and wheat leveraged autonomous tractors and spray drones to cover broad acreages with centimeter-level precision. The scale and uniformity of these row-crop fields enable robots to log long duty cycles and generate high-quality data sets that refine variable-rate prescriptions season after season. Livestock management accounted for a significant share in 2025, driven by robotic milking, health-monitoring collars, and automated feeding systems that enable dairy operators to reduce labor hours by half while enhancing yield consistency. Dairy-specific solutions, such as the Lely Astronaut A5, can handle up to 60 cows a day, freeing workers for higher-value herd-health tasks and validating payback timelines of fewer than four years.

Greenhouse farming is forecast to expand at a 17.4% compound annual growth rate through 2031, the fastest trajectory within the application mix, because controlled-environment layouts make vision-guided robots immediately productive. Vertical-farm operators in North America and Western Europe now rely on robotic transplanters and harvesters to operate around the clock in facilities where human labor costs exceed and ergonomic risks rise quickly. Technologies first proven in open-field weeding, such as Naio Technologies Oz platform, are now adapted for greenhouse tomatoes and cucumbers, enabling precise blade control that avoids delicate stems. As urban agriculture scales, continuous production cycles feed a steady data stream into artificial-intelligence engines, raising the strategic worth of robots beyond labor substitution and helping boost the overall agricultural robots market size.

Complete Report Scope:

• By Product Type
  • Driverless Tractors
  • Unmanned Aerial Vehicles and Drones
  • Milking Robots
  • Harvesting and Picking Robots
  • Weeding Robots
  • Others
• By Application
  • Crop Farming
  • Livestock Management
  • Dairy Management
  • Aquaculture
  • Greenhouse Farming
• By Component
  • Hardware
  • Software
  • Services
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
    • Rest of North America
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Rest of Africa

Geography Analysis

North America held a 33.0% share in 2025, bolstered by large row-crop farms in the Midwest and high-value specialty crop operations in California, where the average hourly wage for hired labor was USD 19.52. The serial production of the Deere autonomous 8R tractor in 2024 provided corn and soybean growers with a commercial path to full-season driverless operation. Canada's Prairie provinces introduced provincial rebate programs covering up to 30% of autonomous upgrades, increasing adoption in the wheat and canola sectors. Despite robust dealer networks, interoperability barriers among major brands temper growth because growers hesitate to lock into single-vendor ecosystems.

The Asia-Pacific region is projected to grow at a rate of 14.8% per year through 2031, the fastest regional pace. Japan faces a rapid demographic contraction, with the average age of farmers exceeding 68 years. To address this, the Ministry of Agriculture, Forestry, and Fisheries subsidizes autonomous rice transplanters capable of planting 10 hectares daily. China's plan to achieve 30% smart-farming coverage by 2025 channels funds into domestic manufacturers such as FJDynamics, which shipped its five-thousandth autonomous mower, at a rate equivalent to the average hourly wage for the fastest-performing region in the Asia-Pacific region, enhancing collective autonomy. Australia leverages robotic weeders to counter herbicide-resistant ryegrass, and Carbon Robotics deployed 20 LaserWeeder units across Queensland and New South Wales in 2024.

In Europe, Germany, the Netherlands, and France together installed more than 10,000 Lely, DeLaval, and GEA milking robots in 2024, cutting labor hours by half and improving yield consistency. The Middle East and Africa, though comparatively smaller, are piloting robots in hydroponic greenhouses where water scarcity and heat stress limit human labor.

1. Deere & Company
2. CNH Industrial B.V.
3. AGCO Corporation
4. DJI
5. Lely
6. YANMAR HOLDINGS CO., LTD.
7. KUBOTA Corporation
8. Naio Technologies Inc.
9. Harvest Automation Solutions.
10. EagleNXT
11. BouMatic
12. GEA Group Aktiengesellschaft
13. EcoRobotix
14. FJDYNAMICS PTE.LTD.
15. FarmWise Labs

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 Introduction

• 1.1 Study Assumptions & Market Definition
• 1.2 Scope of the Study

2 Research Methodology

3 Executive Summary

4 Market Landscape

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Accelerating labor shortages in industrialized farming nations
  • 4.2.2 Declining price of machine-vision cameras and LiDAR
  • 4.2.3 Policy incentives for sustainable and precision farming
  • 4.2.4 Venture-capital influx into autonomous harvesting start-ups
  • 4.2.5 Synergistic use of agricultural robots with carbon-credit platforms
  • 4.2.6 Ag-robot subscription models boosting SME affordability
• 4.3 Market Restraints
  • 4.3.1 Inter-operability gaps among multi-vendor farm platforms
  • 4.3.2 Low internet-of-things (IoT) coverage in rural zones
  • 4.3.3 High up-front retro-fitting cost for legacy implements
  • 4.3.4 Cyber-security concerns around GNSS spoofing of ag-robots
• 4.4 Regulatory Landscape
• 4.5 Technological Outlook
• 4.6 Porter's Five Forces Analysis
  • 4.6.1 Threat of New Entrants
  • 4.6.2 Bargaining Power of Suppliers
  • 4.6.3 Bargaining Power of Buyers
  • 4.6.4 Threat of Substitutes
  • 4.6.5 Competitive Rivalry

5 Market Size and Growth Forecasts (Value)

• 5.1 By Product Type
  • 5.1.1 Driverless Tractors
  • 5.1.2 Unmanned Aerial Vehicles and Drones
  • 5.1.3 Milking Robots
  • 5.1.4 Harvesting and Picking Robots
  • 5.1.5 Weeding Robots
  • 5.1.6 Others
• 5.2 By Application
  • 5.2.1 Crop Farming
  • 5.2.2 Livestock Management
  • 5.2.3 Dairy Management
  • 5.2.4 Aquaculture
  • 5.2.5 Greenhouse Farming
• 5.3 By Component
  • 5.3.1 Hardware
  • 5.3.2 Software
  • 5.3.3 Services
• 5.4 By Geography
  • 5.4.1 North America
    • 5.4.1.1 United States
    • 5.4.1.2 Canada
    • 5.4.1.3 Mexico
    • 5.4.1.4 Rest of North America
  • 5.4.2 South America
    • 5.4.2.1 Brazil
    • 5.4.2.2 Argentina
    • 5.4.2.3 Rest of South America
  • 5.4.3 Europe
    • 5.4.3.1 Germany
    • 5.4.3.2 United Kingdom
    • 5.4.3.3 France
    • 5.4.3.4 Italy
    • 5.4.3.5 Spain
    • 5.4.3.6 Russia
    • 5.4.3.7 Rest of Europe
  • 5.4.4 Asia-Pacific
    • 5.4.4.1 China
    • 5.4.4.2 Japan
    • 5.4.4.3 India
    • 5.4.4.4 Australia
    • 5.4.4.5 Rest of Asia-Pacific
  • 5.4.5 Middle East
    • 5.4.5.1 Saudi Arabia
    • 5.4.5.2 United Arab Emirates
    • 5.4.5.3 Rest of Middle East
  • 5.4.6 Africa
    • 5.4.6.1 South Africa
    • 5.4.6.2 Egypt
    • 5.4.6.3 Rest of Africa

6 Competitive Landscape

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as Available, Strategic Information, Market Rank/Share for Key Companies, Products and Services, and Recent Developments)
  • 6.4.1 Deere & Company
  • 6.4.2 CNH Industrial B.V.
  • 6.4.3 AGCO Corporation
  • 6.4.4 DJI
  • 6.4.5 Lely
  • 6.4.6 YANMAR HOLDINGS CO., LTD.
  • 6.4.7 KUBOTA Corporation
  • 6.4.8 Naio Technologies Inc.
  • 6.4.9 Harvest Automation Solutions.
  • 6.4.10 EagleNXT
  • 6.4.11 BouMatic
  • 6.4.12 GEA Group Aktiengesellschaft
  • 6.4.13 EcoRobotix
  • 6.4.14 FJDYNAMICS PTE.LTD.
  • 6.4.15 FarmWise Labs

7 Market Opportunities and Future Outlook