스마트 작물 모빌리티 시장 성장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

The Global Smart Crop Mobility Market was valued at USD 4.3 billion in 2023 and is expected to grow at a CAGR of 13.6% between 2024 and 2032. A key factor driving this growth is the significant labor shortage in the agricultural sector, particularly in developed regions, where younger generations are shifting away from farming. This has led to increased adoption of advanced mobility solutions like autonomous tractors and robotic harvesters as farmers seek automation to maintain productivity and ensure efficient crop management. Precision agriculture requires highly accurate positioning and movement to optimize crop management. Smart crop mobility technologies offer precise field navigation, targeted input application (such as fertilizers and pesticides), and efficient harvesting.

These systems integrate GPS, sensors, and AI to deliver centimeter-level accuracy, crucial for maximizing yield and resource efficiency. As a result, the growing demand for resource optimization is fueling the adoption of these consistent and precise smart mobility solutions. The market is segmented by product into autonomous tractors, robotic harvesters, drones/UAVs, mobile robots, and more. In 2023, autonomous tractors held over 30% of the market share, with their ability to revolutionize precision farming.

These tractors, equipped with advanced GPS and RTK systems, achieve sub-inch accuracy in navigation and tasks, leading to more efficient use of seeds, fertilizers, and water while minimizing environmental impact. In terms of applications, the smart crop mobility market is divided into field crops, orchards and vineyards, greenhouse operations, specialty crops, and others. The field crops segment is projected to surpass USD 4 billion by 2032. Innovations in irrigation systems, incorporating mobility and intelligence, are optimizing water use for field crops. These advanced mobile systems autonomously adjust their position and spray patterns using real-time data from soil sensors and weather forecasts.

They not only enhance water conservation but also boost crop yields by detecting and addressing equipment issues in real time-particularly important for water-scarce regions. In North America, the U.S. dominated the market, accounting for over 85% of the regional share in 2023. The U.S. agricultural sector is increasingly embracing the Robotics-as-a-Service (RaaS) model, where farmers opt for subscription-based services instead of purchasing costly smart farming equipment. This model is particularly beneficial for small and medium-sized farms, as it reduces the need for large capital investments while offering access to the latest technology. RaaS providers handle maintenance, upgrades, and technical support, allowing farmers to focus on their core operations, thus driving innovation and advancements in agricultural robotics

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Farmers & agricultural producers
  • 3.2.2 Equipment manufacturers
  • 3.2.3 Technology integrators
  • 3.2.4 End users
• 3.3 Profit margin analysis
• 3.4 Technology differentiators
  • 3.4.1 Autonomous systems & robotics
  • 3.4.2 GPS and GNSS systems for precision farming
  • 3.4.3 Variable rate technology (VRT)
  • 3.4.4 Autonomous irrigation systems
  • 3.4.5 Others
• 3.5 Key news & initiatives
• 3.6 Regulatory landscape
• 3.7 Impact forces
  • 3.7.1 Growth drivers
    • 3.7.1.1 Increasing labor shortages in agriculture
    • 3.7.1.2 Rising demand for precision agriculture
    • 3.7.1.3 Increasing focus on sustainable farming practices
    • 3.7.1.4 Increasing demand for operational efficiency in agricultural practices
  • 3.7.2 Industry pitfalls & challenges
    • 3.7.2.1 High initial investment costs
    • 3.7.2.2 Limited technical expertise in farmers
• 3.8 Growth potential analysis
• 3.9 Porter's analysis
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Product, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Autonomous tractors
• 5.3 Robotic harvesters
• 5.4 Drones/UAVs
• 5.5 Mobile robots
• 5.6 Others

Chapter 6 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 Field crops
  • 6.2.1 Grains and cereals
  • 6.2.2 Row crops
• 6.3 Orchards and vineyards
• 6.4 Greenhouse operations
• 6.5 Specialty crops
• 6.6 Others

Chapter 7 Market Estimates & Forecast, By Farm Size, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Small farms
• 7.3 Medium farms
• 7.4 Large farms

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Farmers
• 8.3 Agricultural cooperatives
• 8.4 Government agencies
• 8.5 Research institutions
• 8.6 Agribusiness companies

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Russia
  • 9.3.7 Nordics
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Southeast Asia
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

• 10.1 Ag Leader Technology
• 10.2 AGCO Corporation
• 10.3 AgEagle Aerial Systems
• 10.4 Biz4Intellia
• 10.5 Blue River Technology
• 10.6 CNH Industrial
• 10.7 Deere & Company
• 10.8 DJI
• 10.9 EarthSense
• 10.10 FarmWise Labs
• 10.11 GUSS
• 10.12 Harvest CROO Robotics
• 10.13 Hexagon
• 10.14 Kubota
• 10.15 Raven Industries
• 10.16 Syngenta
• 10.17 Terra Drone
• 10.18 Valley Irrigation
• 10.19 Verdant Robotics
• 10.20 Yara