시장보고서
상품코드
2025014

농업용 로봇 시장 규모, 점유율, 동향 및 예측 : 제품 유형, 용도, 제공 형태, 지역별(2026-2034년)

Agricultural Robots Market Size, Share, Trends and Forecast by Product Type, Application, Offering, and Region, 2026-2034

발행일: | 리서치사: 구분자 IMARC | 페이지 정보: 영문 141 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

2025년의 세계 농업용 로봇 시장 규모는 120억 달러로 평가되었습니다. 향후에 대해 IMARC Group은 2026-2034년에 CAGR 14.23%로 추이하며, 2034년까지 시장 규모가 413억 달러에 달할 것으로 예측하고 있습니다. 현재 북미가 시장을 주도하고 있으며, 2025년에는 35.2%의 시장 점유율을 차지하고 있습니다. 이 시장은 농업 분야의 자동화 도입 확대를 촉진하는 첨단 기술 인프라에 의해 주도되고 있습니다. 여기에 더해 혁신에 대한 막대한 투자가 글로벌 시장 성장을 촉진하고 있습니다.

로봇은 반복적인 작업을 자동화하여 수작업의 필요성을 줄이고 운영비용을 절감할 수 있습니다. 농업 기술은 자원 낭비를 최소화하고 물, 비료, 농약의 최적 사용을 보장합니다. 이러한 투입재 절감은 총 비용 절감과 농가의 수익성 향상에 기여합니다. 농업용 로봇은 효율성을 높이고 사람보다 더 빠르고 정확하게 작업을 완료할 수 있습니다. 이러한 생산성 향상을 통해 농가는 자원을 보다 효과적으로 배분하고 불필요한 지출을 줄일 수 있습니다. 로봇이 피로하지 않고 지속적으로 작동할 수 있으므로 초과 근무 및 추가 근무와 관련된 비용을 절감할 수 있습니다. 내구성이 뛰어난 로봇 시스템에 대한 투자로 인한 장기적인 비용 절감 효과는 초기 구매 비용보다 더 큽니다. 기술 혁신으로 로봇의 가격이 저렴해져 소규모 농가의 진입장벽이 낮아지고 있습니다. 로봇의 정비 및 수리 비용은 기존 농업기계보다 낮은 경우가 많으며, 이는 세계 시장 성장을 촉진하고 있습니다.

정밀농업에 대한 수요 증가가 미국 농업용 로봇 시장을 주도하고 있습니다. 농가는 자원 소비와 환경에 미치는 영향을 줄이면서 작물 수확량을 향상시킬 수 있는 혁신적인 기술을 원하고 있습니다. 센서와 인공지능(AI)을 탑재한 농업용 로봇은 토양 상태, 작물의 생육 상황, 해충의 행동을 정확하게 추적할 수 있습니다. 이 로봇들은 실시간 데이터를 제공하므로 농가가 자원 배분에 대한 보다 정확한 판단을 내릴 수 있도록 도와줍니다. 예를 들어 2024년 6월 노스캐롤라이나 주립대학의 'N.C. Plant Sciences' 구상은 BenchBot 3.0 로봇 개발을 통해 농업 분야의 AI 기술 진보를 촉진했습니다. 이 프로젝트는 수확 일정 최적화, 비료 사용 효율화, 농업 전반의 의사결정 개선을 목표로 하고 있습니다. AI를 활용한 툴은 농업의 효율성, 지속가능성 및 의사결정을 향상시킬 수 있습니다. 이러한 발전은 낭비를 줄이고 생산성을 향상시키는 데 초점을 맞춰 정밀농업을 지원합니다. 정밀농업에는 비료, 물, 농약을 정확하게 살포할 수 있는 로봇 시스템이 필요합니다. 이러한 특정 살포 기술은 폐기물을 줄이고, 비용을 절감하며, 환경에 미치는 악영향을 최소화하여 지속가능한 농업을 실천하는 데 기여합니다. 로봇은 심기, 수확, 제초 등의 작업의 효율성을 높여 작물이 최적으로 자랄 수 있도록 돕습니다.

농업용 로봇 시장 동향:

농업 분야 인력 부족

시장 촉진요인 중 하나는 농업 분야의 만성적인 숙련된 노동력 부족입니다. 300개 이상의 기업을 대상으로 한 설문조사에 따르면 76%가 숙련된 인력 부족이 심화되고 있다고 응답해 업계의 심각한 인력난이 부각되고 있습니다. 각지에서 농업 종사자 확보가 어려워지면서 노동집약적인 작업 수행에 어려움을 겪고 있습니다. 이러한 로봇은 인간 노동에 대한 의존도를 줄임으로써 해결책을 제시합니다. 이 로봇들은 상시 모니터링 없이도 자율적으로 작동할 수 있으며, 반복적인 작업을 효율적이고 정확하게 수행할 수 있습니다. 심기, 제초, 수확 등의 작업을 자동화함으로써 농업용 로봇은 농가가 인력 부족을 극복하고 생산성을 향상시키며 운영 비용을 절감할 수 있도록 돕습니다.

기술 발전

로봇공학, 자동화, AI의 급속한 발전이 농업용 로봇의 보급을 촉진하고 있습니다. 이러한 기술을 통해 농업용 로봇의 능력이 크게 향상되어 더욱 다기능적이고 효율적이며 비용 효율적일 수 있게 되었습니다. 예를 들어 컴퓨터 비전과 기계 학습 알고리즘의 통합을 통해 로봇은 작물과 잡초를 식별하고 구별할 수 있으며, 정밀한 제초를 할 수 있습니다. 내비게이션 시스템과 센서를 통해 로봇은 밭을 이동하고 장애물을 피할 수 있습니다. 카메라, 다중 스펙트럼 이미징과 같은 첨단 센서가 사용 가능해짐에 따라 작물 모니터링 및 최적화를 위한 실시간 데이터가 제공됩니다. 이러한 기술의 발전으로 농업용 로봇은 복잡한 작업과 의사결정을 더 잘 수행할 수 있게 되었고, 그 결과 시장 규모가 확대되고 있습니다.

높아지는 환경에 대한 관심

환경에 대한 관심 증가와 지속가능한 농업 방식에 대한 수요는 농업용 로봇 도입에 영향을 미치는 주요 요인입니다. 기존의 농업 방식에서는 비료, 농약, 물의 과다 사용이 빈번하게 발생하여 환경오염과 자원 고갈을 초래하고 있습니다. NIH는 농약이 없으면 해충과 질병으로 인해 과일은 최대 78%, 채소는 54%, 곡물은 32%의 수확량 손실이 발생한다고 지적합니다. 농업용 로봇은 자원을 보다 정확하고 정밀하게 공급함으로써 화학물질 사용량을 줄이고 자원 효율을 향상시킵니다. 예를 들어 정밀 살포 기술을 탑재한 로봇은 필요한 곳에만 농약을 살포하므로 화학물질 유출과 환경에 미치는 영향을 줄일 수 있습니다. 마찬가지로 로봇 관개 시스템은 실시간 수분 정보를 활용하여 식물의 뿌리에 직접 물을 공급함으로써 물 이용 효율을 높입니다. 이러한 로봇은 정밀농업 방식을 촉진하여 농가가 보다 지속가능한 접근 방식을 도입하고, 환경에 미치는 영향을 최소화하며, 농업이 생태계에 미치는 부정적인 영향을 줄일 수 있도록 돕습니다.

목차

제1장 서문

제2장 조사 범위와 조사 방법

제3장 개요

제4장 서론

제5장 세계의 농업용 로봇 시장

제6장 시장 내역 : 제품 유형별

제7장 시장 내역 : 용도별

제8장 시장 내역 : 제공별

제9장 시장 내역 : 지역별

제10장 SWOT 분석

제11장 밸류체인 분석

제12장 Porters Five Forces 분석

제13장 가격 분석

제14장 농업용 로봇 제조 프로세스

제15장 경쟁 구도

KSA 26.05.19

The global agricultural robots market size was valued at USD 12.0 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 41.3 Billion by 2034, exhibiting a CAGR of 14.23% from 2026-2034. North America currently dominates the market, holding a market share of 35.2% in 2025 . The market is driven by the advanced technological infrastructure, which is leading to higher adoption of automation in agriculture. Alongside this, significant investments in innovations are bolstering the market growth across the globe.

By automating repetitive tasks, robots reduce the need for manual labor, lowering operational expenses. Agriculture technologies minimize resource wastage, ensuring optimal use of water, fertilizers, and pesticides. These savings on inputs contribute to reduced overall costs and increased profitability for farmers. Agricultural robots enhance efficiency, completing tasks faster and with greater accuracy than human labor. This improved productivity allows farmers to allocate resources more effectively, decreasing unnecessary expenditures. The capacity of robots to operate persistently without exhaustion removes expenses linked to overtime or extra shifts. The long-term savings from investing in durable robotic systems outweigh initial purchase costs. Technological innovations are making robots more affordable, reducing the entry barrier for smaller farms. Maintenance and repair costs of robots are often lower than those of traditional farming equipment, which is bolstering the market growth across the globe.

The rising need for precision farming is driving the market for agricultural robots in the United States. Farmers are looking for innovative technologies to improve crop yields while reducing resource consumption and environmental effects. Agricultural robots that come with sensors and artificial intelligence (AI) can accurately track soil conditions, plant development, and pest behavior. These robots provide immediate data, allowing farmers to better evaluate their resource deployment choices. For example, in June 2024, North Carolina State University's N.C. Plant Sciences initiative advances AI technology in agriculture by creating the BenchBot 3.0 robot. The project sought to enhance harvest schedules, fertilizer use, and general agricultural choices. Tools powered by AI will increase the efficiency, sustainability, and decision-making in farming. These developments aid precision farming by concentrating on minimizing waste and improving productivity. Precision agriculture needs robotic systems that can precisely apply fertilizers, water, and pesticides. These specific applications aid in decreasing waste, lowering expenses, and minimizing environmental harm, thereby supporting sustainable agricultural practices. Robots enhance the effectiveness of activities like planting, harvesting, and weeding, making certain that crops develop optimally.

AGRICULTURAL ROBOTS MARKET TRENDS:

Labor Shortage in Agriculture Sector

One of the major drivers for the market is the persistent shortage of skilled labor in the agricultural sector. According to a survey of over 300 companies, 76% reported a growing shortage of skilled labor, highlighting a significant workforce gap in the industry. Various regions are experiencing a decline in the availability of farm workers, leading to challenges in carrying out labor-intensive tasks. These robots provide a solution by reducing the reliance on human labor. These robots can work autonomously, without the need for constant supervision, and can perform repetitive tasks efficiently and accurately. By automating tasks, such as planting, weeding, and harvesting, agricultural robots help farmers overcome labor shortages, increase productivity, and reduce operational costs.

Technological Advancements

Rapid advancements in robotics, automation, and AI are driving the adoption of agriculture robots. These technologies have significantly improved the capabilities of agricultural robots, making them more versatile, efficient, and cost-effective. For instance, the integration of computer vision and machine learning algorithms allows robots to identify and differentiate between crops and weeds, enabling targeted and precise weed control. Navigation systems and sensors enable robots to maneuver through fields and avoid obstacles. The availability of advanced sensors, such as cameras and multispectral imaging, provides real-time data for crop monitoring and optimization. These technological advancements make agricultural robots more capable of performing complex tasks and decision-making, thus expanding the market size.

Rising Environmental Concerns

Increasing environmental concerns and the demand for sustainable agricultural methods are key factors influencing the adoption of the agricultural robots. Conventional agricultural methods frequently entail the overuse of fertilizers, pesticides, and water, resulting in environmental contamination and resource exhaustion. As stated by NIH, the absence of pesticides would lead to losses of up to 78% in fruits, 54% in vegetables, and 32% in cereals because of pests and diseases. Agricultural robots provide a more accurate and focused delivery of resources, leading to less chemical usage and enhanced resource efficiency. For instance, robots with precision spraying technology deliver pesticides solely in necessary areas, reducing chemical runoff and environmental effects. In the same way, robotic irrigation systems enhance water efficiency by supplying water straight to plant roots using real-time moisture information. By encouraging precision agriculture methods, these robots assist farmers in embracing more sustainable approaches, minimizing environmental impact, and alleviating the adverse effects of farming on ecosystems.

AGRICULTURAL ROBOTS INDUSTRY SEGMENTATION:

Analysis by Product Type:

  • Unmanned Aerial Vehicles (UAVs)/Drones
  • Milking Robots
  • Automated Harvesting Systems
  • Driverless Tractors
  • Others

Automated harvesting systems represent the biggest segment in 2025, accounting for 43.7% of the market. These systems are built to gather harvests swiftly and accurately like fruits, vegetables, and grains, thereby lowering labor expenses and minimizing time-consuming manual tasks. With labor shortages posing a major issue in agriculture, automated harvesting systems offer an effective remedy by functioning independently, thereby filling workforce voids. Additionally, the rising worldwide demand for fresh fruits and vegetables, along with the necessity for prompt harvesting, leads to the heightened utilization of these systems. Automated harvesting systems additionally reduce crop damage while harvesting, ensuring that the produce stays whole and maintains high quality. These robots come with sophisticated AI and vision technologies that can adjust to diverse crop varieties and settings, improving their adaptability for numerous agricultural uses. The increasing demand for sustainable agriculture and the necessity to decrease waste render automated harvesting systems appealing, as they enhance resource efficiency and reduce avoidable losses.

Analysis by Application:

  • Field Farming
  • Dairy Farm Management
  • Animal Management
  • Soil Management
  • Crop Management
  • Others

Field farming leads the market with 39.2% of market share in 2025. Robots in the field farming sector execute tasks like planting, weeding, and harvesting, enhancing efficiency and the quality of yield. Large farmers gain considerable advantages from automation, since manual labor is expensive and requires a lot of time. Sophisticated robots integrated with AI and sensors guarantee accurate resource management, reducing the waste of water and fertilizers. They track soil health and crop status in real time, allowing farmers to make informed decisions. The increasing need for high-yield crops and eco-friendly farming methods drives the implementation of robotic solutions in agricultural fields. Government incentives for precision farming further motivate farmers to utilize robots for extensive operations. Field farming practices focus on essential crops such as wheat, rice, and corn, which are vital for food security worldwide. Automation lessens reliance on labor, tackling workforce shortages and boosting productivity, particularly in busy farming periods. Robots improve productivity in pest management and irrigation control, promoting sustainable agricultural practices. Ongoing improvements in robotics technology lower expenses, enhancing accessibility of these systems for farmers.

Analysis by Offering:

  • Hardware
  • Software
  • Services

In 2025, hardware dominates the market, capturing 71.7% of the market share. Hardware elements constitute the foundation of agribots, including the physical framework and equipment necessary for their functioning. These elements consist of drones, robotic milking machines, automated crop harvesters, autonomous tractors, and different types of sensors and robotic limbs. These hardware solutions are crucial for executing particular activities in the agriculture sector, including planting, harvesting, and monitoring. Additionally, the demand for hardware components is driven by the diverse range of applications and tasks that agribots are designed to perform. Different types of robots and equipment are required for various agricultural operations like field farming, dairy farming, and soil management. Farmers and agricultural businesses rely on these hardware components to carry out tasks efficiently, improve productivity, and optimize resource utilization. Other than this, hardware components often involve significant investment and represent a substantial portion of the overall cost associated with implementing agricultural robots. As the market for these robots continues to grow, advancements in hardware technologies, such as improved sensors, better robotic arms, and more precise navigation systems, further drive the demand for these components.

Regional Analysis:

  • North America
  • Europe
  • Asia Pacific
  • Middle East and Africa
  • Latin America

North America held the highest market share, exceeding 35.2% in 2025. North America boasts a highly advanced and technologically sophisticated agricultural industry. This advantageous setting is promoting the swift integration of agricultural robots in the area. Additionally, labor shortages in certain agricultural sectors are becoming a significant challenge in North America. This is creating a strong demand for agribots as a solution to address the labor gap and increase operational efficiency. North America hosts numerous leading agricultural robot manufacturers and research organizations. These firms and institutions are leading the way in creating and marketing cutting-edge agricultural robots. Their presence in the region not only contributes to the availability of a wide range of robotic solutions but also fosters an ecosystem of innovation, knowledge sharing, and expertise in the field. For instance, in September 2024, Niqo Robotics launched its AI-driven RoboThinner for lettuce thinning in North America. The robot uses AI cameras to achieve 97% accuracy in thinning lettuce. It can cover up to 7 acres per hour, offering significant labor savings.

KEY REGIONAL TAKEAWAYS:

UNITED STATES AGRICULTURAL ROBOTS MARKET ANALYSIS

The United States market is growing due to the rising adoption of drones and unmanned aerial vehicles (UAVs) in agriculture. For instance, Baibars, a startup developing agricultural UAVs, has secured a 15 Million USD investment. This funding will accelerate the development of UAVs for agricultural use, enhancing the capabilities of agricultural robots for tasks like spraying and monitoring. This surge in UAV availability benefits agricultural robots by enhancing precision farming, crop monitoring, and resource management. The ability of UAVs to capture detailed data, map terrain, and monitor crop health is enhancing farming practices by improving decision-making and productivity. Drones are enabling farmers to perform tasks like seeding, irrigation, and pest control with high precision. These advancements in aerial technology are being integrated into agricultural robotics, streamlining tasks, such as field monitoring, crop spraying, and soil analysis. As agricultural robots adopt more sophisticated UAV capabilities, they are reducing labor costs and improving the efficiency of farming operations.

EUROPE AGRICULTURAL ROBOTS MARKET ANALYSIS

The growing demand for automation in the dairy industry is propelling the adoption of agricultural robots, particularly in areas requiring dairy farm management. According to reports, in 2020, there were approximately 467,000 dairy farms in the EU, the growing dairy sector presents significant opportunities for agricultural robots. Robotic systems streamline operations, such as milking, feeding, and monitoring animal health. These technologies enhance productivity by reducing time-intensive tasks and improving milk quality through consistent processes. Automated feeding systems and robotic milking machines are becoming commonplace, offering farmers precise control over dairy production. Innovations in sensor technologies and real-time data collection are helping monitor livestock conditions, ensuring healthier herds and improved outputs. By implementing robots, farmers can better address challenges like herd expansion and efficiency in resource use.

ASIA PACIFIC AGRICULTURAL ROBOTS MARKET ANALYSIS

The growing adoption of agricultural robots in the Asia Pacific region is supported by a surge in investments aimed at modernizing agricultural practices. According to India Brand Equity Foundation, private investment in agriculture surged by 9.3% in 2020-21, complemented by institutional credit growth that reached USD 226 Billion in 2021-22. This growing financial support fosters innovation, driving the adoption of agricultural robots to enhance productivity and efficiency. The demand for increased efficiency and sustainable farming methods is driving governing agencies, investors, and research institutions to fund innovations in agriculture, including robotics. These investments are making advanced farming technology more accessible, particularly in regions where labor shortages and the need for higher crop yields are becoming more apparent. Robotics is being adopted to optimize various agricultural processes, such as planting, harvesting, and crop monitoring, improving output and reducing operational costs.

MIDDLE EAST AND AFRICA AGRICULTURAL ROBOTS MARKET ANALYSIS

In the Middle East and Africa, the growing adoption of agricultural robots is being fueled by advancements in agriculture and government support. For instance, UAE's USD 500 Million program, unveiled by the Advanced Technology Research Council at the World Governments Summit, aims to accelerate AI and emerging tech research. This initiative is set to enhance agricultural robots, improving efficiency and innovation in farming. Governments in this region are increasingly recognizing the importance of modernizing agriculture to ensure food security and improve agricultural productivity. As part of these efforts, robots are being integrated into farming practices to optimize resources, conserve water, and enhance crop yields. The rise of precision agriculture technologies is helping farmers reduce the environmental impact of farming while increasing efficiency.

LATIN AMERICA AGRICULTURAL ROBOTS MARKET ANALYSIS

Rapid technological advancements and increasing investments in automation largely drive the adoption of agricultural robots in Latin America. For instance, Venture investment in the Latin America region reached USD 4 Billion for a second consecutive year, with a record of 488 deals in 2020. This growth highlights the region's increasing focus on technological advancements and investments in innovative sectors. As technology continues to evolve, agricultural robots are becoming more sophisticated, offering improved precision, efficiency, and scalability for farming operations. The growing interest in enhancing crop yield, reducing labor costs, and improving sustainability are encouraging investment in automation technologies. This shift towards automation is also fueled by the need for more effective resource management, including water and fertilizers, as well as the pressure to meet the expanding demand for food production.

COMPETITIVE LANDSCAPE:

Key players play a crucial role in the market due to growing innovations and strategic collaborations. Major companies are developing cutting-edge robotics solutions that address labor shortages, improve efficiency, and enhance crop yields. These players are investing heavily in research and development (R&D) to create autonomous robots capable of performing a wide range of tasks, from planting and harvesting to monitoring crop health. Their role also includes forming partnerships with farming organizations, technology firms, and research institutions to accelerate the adoption of agricultural robots. By introducing AI, machine learning, and IoT into their robotic systems, these companies are enabling more precise and sustainable farming practices. In April 2024, AGCO Corporation and Trimble finalized a joint venture, forming PTx Trimble to advance precision agriculture. This new company integrates Trimble's expertise in precision agriculture and AGCO's JCA Technologies, offering factory-fit and retrofit solutions for mixed-fleet farming applications.

The report provides a comprehensive analysis of the competitive landscape in the agricultural robots market with detailed profiles of all major companies, including:

  • Deere & Company
  • Trimble Inc.
  • Agco Corporation
  • Lely Holding S.A.R.L
  • AG Eagle LLC
  • Agribotix LLC
  • Agrobot
  • Harvest Automation
  • Naio Technologies
  • Precision Hawk
  • IBM
  • Agjunction, Inc.
  • DJI
  • Boumatic Robotics, B.V.
  • AG Leader Technology
  • Topcon Positioning Systems, Inc.
  • Autocopter Corp
  • Auroras S.R.L.
  • Grownetics Inc.
  • Autonomous Tractor Corporation

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Agricultural Robots Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Breakup by Product Type
  • 5.5 Market Breakup by Application
  • 5.6 Market Breakup by Offering
  • 5.7 Market Breakup by Region
  • 5.8 Market Forecast

6 Market Breakup by Product Type

  • 6.1 Unmanned Aerial Vehicles (UAVs)/Drones
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Milking Robots
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Automated Harvesting Systems
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Driverless Tractors
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast
  • 6.5 Others
    • 6.5.1 Market Trends
    • 6.5.2 Market Forecast

7 Market Breakup by Application

  • 7.1 Field Farming
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Dairy Farm Management
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Animal Management
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Soil Management
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Crop Management
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Others
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by Offering

  • 8.1 Hardware
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Software
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Services
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Europe
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Asia Pacific
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Middle East and Africa
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Latin America
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Global Agricultural Robots Industry: SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Global Agricultural Robots Industry: Value Chain Analysis

12 Global Agricultural Robots Industry: Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Global Agricultural Robots Industry: Price Analysis

14 Agricultural Robots Manufacturing Process

  • 14.1 Product Overview
  • 14.2 Raw Material Requirements
  • 14.3 Manufacturing Process
  • 14.4 Key Success and Risk Factors

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Deere & Company
    • 15.3.2 Trimble Inc.
    • 15.3.3 Agco Corporation
    • 15.3.4 Lely Holding S.A.R.L
    • 15.3.5 AG Eagle LLC
    • 15.3.6 Agribotix LLC
    • 15.3.7 Agrobot
    • 15.3.8 Harvest Automation
    • 15.3.9 Naio Technologies
    • 15.3.10 Precision Hawk
    • 15.3.11 IBM
    • 15.3.12 Agjunction, Inc.
    • 15.3.13 DJI
    • 15.3.14 Boumatic Robotics, B.V.
    • 15.3.15 AG Leader Technology
    • 15.3.16 Topcon Positioning Systems, Inc.
    • 15.3.17 Autocopter Corp
    • 15.3.18 Auroras S.R.L.
    • 15.3.19 Grownetics Inc.
    • 15.3.20 Autonomous Tractor Corporation
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