세계의 자율형 농업기계 시장 : 제품별, 오퍼레이션별, 용도별, 기술별, 예측(2024-2032년)

Autonomous Farm Equipment Market size is projected to record over 8% CAGR from 2024 to 2032, driven by technological advancements in agriculture. These machines are integrated with advanced sensors and AI to autonomously handle tasks like planting, harvesting, and soil monitoring to improve efficiency and precision on the farm.

With increasing innovations, farm equipment is incorporating even more sophisticated features to enable them to tackle more complex farming challenges and adapt to various conditions. For instance, in July 2024, GCO announced its plans to introduce autonomous tractor retrofit kits in 2025. These kits will enable mixed-fleets including Fendt and John Deere tractors to autonomously perform tasks like grain carting and tillage for expanding functionality.

The autonomous farm equipment market is segregated into product, operation, application, technology, and region.

In terms of product, the market size from the sprayers segment is expected to record a significant CAGR from 2024 to 2032 due to the increasing demand for autonomously applying fertilizers and pesticides with precision. Of late, sprayers are equipped with advanced sensors and AI for navigating fields and targeting specific areas for treatment, reducing waste and improving crop health. Autonomous sprayers are also incorporated with features like real-time environmental monitoring and adaptive spraying techniques for managing crop care and maintaining high agricultural productivity.

By application, the autonomous farm equipment industry from the dairy & livestock management segment is projected to rise from 2024 to 2032, driven by strong usage for automating tasks, such as feeding, milking, and health monitoring. Autonomous farm equipment are used for gathering data in real time to help farmers make more informed decisions. Autonomous systems are also integrating more advanced technologies to further optimize farm operations, adding to the segment growth.

Regionally, the Asia Pacific autonomous farm equipment market size is projected to exhibit robust growth between 2024 and 2032, fueled by the ongoing government support and incentives. Governments are providing funding and subsidies to encourage the adoption of autonomous technologies for making them more accessible to farmers. Subsequently, farmers are focusing on sustainability goals, further driving the adoption of several equipment in APAC to reduce environmental impacts and improve resource efficiency. size is projected to record over 8% CAGR from 2024 to 2032, driven by technological advancements in agriculture. These machines are integrated with advanced sensors and AI to autonomously handle tasks like planting, harvesting, and soil monitoring to improve efficiency and precision on the farm.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates & calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

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 Raw material providers
  • 3.2.2 Component providers
  • 3.2.3 Manufacturer
  • 3.2.4 Technology providers
  • 3.2.5 End user
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Technological advancements in AI, IoT, and robotics
    • 3.8.1.2 Addressing labor shortages through automation and autonomy
    • 3.8.1.3 Increasing farm sizes necessitating more efficient operations
    • 3.8.1.4 Growing demand for sustainable agriculture practices globally
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 High initial investment costs for autonomous equipment
    • 3.8.2.2 Limited adaptability to diverse agricultural landscapes and practices
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
• 3.11 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, Units)

• 5.1 Key trends
• 5.2 Tractor
• 5.3 Harvesters
• 5.4 Planters
• 5.5 Sprayers
• 5.6 UAVs

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

• 6.1 Key trends
• 6.2 Fully autonomous
• 6.3 Semi-autonomous

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn, Units)

• 7.1 Key trends
• 7.2 Crop cultivation
• 7.3 Horticulture & nursery
• 7.4 Dairy & livestock management
• 7.5 Forestry & timber management

Chapter 8 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn, Units)

• 8.1 Key trends
• 8.2 Guidance & navigation systems
• 8.3 Sensor technologies
• 8.4 Artificial intelligence & machine learning
• 8.5 Robotics & automation
• 8.6 Connectivity and communication systems

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

• 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 Italy
  • 9.3.5 Spain
  • 9.3.6 Russia
  • 9.3.7 Rest of Europe
• 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
  • 9.4.7 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
  • 9.5.4 Rest of Latin America
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia
  • 9.6.4 Rest of MEA

Chapter 10 Company Profiles

• 10.1 AGCO
• 10.2 Agrobot
• 10.3 Autonomous Solutions Inc.
• 10.4 Autonomous Tractor Corporation
• 10.5 Case IH
• 10.6 Claas
• 10.7 Dawn Equipment Company
• 10.8 Dot Technology Corp
• 10.9 DroneDeploy
• 10.10 Fendt
• 10.11 Harvest Automation
• 10.12 Jaybridge Robotics
• 10.13 John Deere
• 10.14 Kinze Manufacturing
• 10.15 Kubota
• 10.16 New Holland
• 10.17 Precision Planting
• 10.18 Raven Industries
• 10.19 Robotic Ag Services
• 10.20 SeedMaster