세계의 농업 로봇 시장(-2035년) : 로봇 유형별, 제공 유형별, 농업 환경 유형별, 용도 유형별, 유통 채널 유형별, 농장 규모 유형별, 지역별, 산업 동향, 예측

Agriculture Robots Market, Till 2035: Distribution by Type of Robot, Type of Offering, Type of Farming Environment, Type of Application, Type of Distribution Channel, Type of Farm Size and Geographical Regions : Industry Trends and Global Forecasts

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한글목차

농업 로봇 시장 : 개요

세계의 농업 로봇 시장 규모는 현재 122억 달러에서 2035년까지 1,394억 달러에 달할 것으로 예측되며, 2035년까지의 예측 기간에 CAGR로 24.78%의 성장이 전망됩니다.

시장 조사에 따르면 농업 자동화 및 작업 효율성에 대한 관심 증가와 기술 발전에 힘입어 세계 농업용 로봇 시장은 예측 기간 중 건강한 속도로 성장할 것으로 예측됩니다.

농업용 로봇 시장 : 성장과 동향

현재 세계 인구는 80억 명을 넘어섰고, 2050년까지 100억 명에 달할 것으로 예측됩니다. 농업용 로봇은 그 효율성과 혁신적 능력으로 로봇 부문의 미래를 주도하고 있습니다. 농업용 로봇은 심기, 수확, 제초, 자동 작물 모니터링 등 농업 전반에 걸쳐 다양한 용도로 사용되고 있다는 점에 주목해야 합니다. 이러한 로봇의 주요 장점은 작업 효율성 향상, 인건비 절감, 반복적이고 위험한 작업을 처리하여 안전성을 향상시키는 것입니다. 또한 농업용 로봇은 변화하는 농업 환경에 적응하기 위해 첨단 센서 기술과 컴퓨터 비전을 사용하는 등 다양한 기능을 갖추고 있습니다. 또한 농업용 로봇 시장은 더 높은 농업 효율성을 달성하기 위한 기술 혁신과 디지털 전환을 향한 전 세계적인 움직임에서 필수적인 요소로 자리 잡고 있습니다. 국제로봇연맹(International Federation of Robotics)이 보고한 바와 같이, 산업용 로봇의 판매량이 전년 대비 48% 증가하며 큰 폭으로 성장하고 있습니다.

AI와 머신러닝은 농업용 로봇의 잠재력을 극대화하고, 정밀농업을 강화하며, 작물의 상태를 실시간으로 평가할 수 있도록 하는 데 있으며, 매우 중요합니다. 또한 LiDAR 및 머신비전과 같은 첨단 센서는 엣지 AI와 함께 신속한 의사결정을 촉진하여 현대의 중요한 진전을 보여주고 있습니다. 최근 2024년 3월, SIZA Robotics는 채소와 비트 작물에 맞게 조정된 자율 로봇 TOOGO를 발표했습니다. 이 완전 전기식 기계는 농업의 노동력 부족과 비용 증가에 대응하는 것을 목표로 합니다.

세계의 농업 로봇 시장에 대해 조사분석했으며, 최근 동향, 각 지역의 시장 기회의 분석, 주요 기업의 데이터베이스 등을 제공하고 있습니다.

목차

섹션 I : 리포트 개요

제1장 서문

제2장 조사 방법

제3장 시장 역학

제4장 거시경제 지표

섹션 II : 정성적 인사이트

제5장 개요

제6장 서론

제7장 규제 시나리오

섹션 III : 시장 개요

제8장 주요 기업의 종합 데이터베이스

제9장 경쟁 구도

제10장 화이트 스페이스 분석

제11장 경쟁력 분석

제12장 농업 로봇 시장에서의 스타트업 에코시스템

섹션 IV : 기업 개요

제13장 기업 개요

• 챕터 개요
• AGCO
• Abundant Robots
• AgEagle Aerial Systems
• AgJunction
• Auroras
• BouMatic Robots
• Clearpath Robotics
• Deere & Company
• DeLaval
• Ecorobotix
• GAMAYA
• Grownetics
• Harvest Automation
• Harvest CROO Robotics
• Kubota Agricultural Machinery India
• Monarch Tractor
• Trimble
• YANMAR HOLDINGS

섹션 V : 시장 동향

제14장 메가트렌드 분석

제15장 미충족 요구 분석

제16장 특허 분석

제17장 최근 동향

섹션 VI : 시장 기회 분석

제18장 세계의 농업 로봇 시장

제19장 시장 기회 : 로봇 유형별

제20장 시장 기회 : 제공 유형별

제21장 시장 기회 : 농업 환경 유형별

제22장 시장 기회 : 농산물 유형별

제23장 시장 기회 : 용도 유형별

제24장 시장 기회 : 유통 채널 유형별

제25장 시장 기회 : 농장 규모 유형별

제26장 북미 농업 로봇 시장의 기회

제27장 유럽 농업 로봇 시장의 기회

제28장 아시아 농업 로봇 시장의 기회

제29장 중동·북아프리카(MENA) 농업 로봇 시장의 기회

제30장 라틴아메리카 농업 로봇 시장의 기회

제31장 기타 지역 농업 로봇 시장의 기회

제32장 시장 집중 분석 : 주요 기업별

제33장 인접 시장 분석

섹션 VII : 전략 툴

제34장 주요 승리 전략

제35장 Porter's Five Forces 분석

제36장 SWOT 분석

제37장 밸류체인 분석

제38장 Roots의 전략적 제안

섹션 VIII : 기타 독점적 인사이트

제39장 1차 조사로부터의 인사이트

제40장 리포트 결론

섹션 IX : 부록

KSA

영문 목차

영문목차

AGRICULTURE ROBOTS MARKET: OVERVIEW

As per Roots Analysis, the global agriculture robots market size is estimated to grow from USD 12.2 billion in the current year to USD 139.4 billion by 2035, at a CAGR of 24.78% during the forecast period, till 2035.

Driven by the increasing focus on market research agricultural automation and operational efficiency, coupled with advancements in technologies, the global agriculture robots market is expected to grow at a healthy pace during the forecast period.

The opportunity for agriculture robots market has been distributed across the following segments:

Type of Robot

• Automated Harvesting Systems
• Driverless Tractors
• Milking Robots
• Unmanned Aerial Vehicles (UAVs)
• Other Robots

Type of Offering

• Hardware
• Services
• Software

Type of Farming Environment

• Indoor
• Outdoor

Type of Farm Products

• Field Crops
• Fruits and Vegetables
• Livestock
• Others

Type of Application

• Dairy and Livestock Management
• Field Farming
• Harvest Management
• Irrigation Management
• Pruning Management
• Soil Management
• Others

Type of Distribution Channel

• Direct Sales
• Indirect Sales
• Leasing / Rental Model
• Robot-as-a-Service (RaaS)

Type of Farm Size

• Small-scale Farms
• Medium-scale Farms
• Large-scale Farms

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

AGRICULTURE ROBOTS MARKET: GROWTH AND TRENDS

As of now, the global population exceeds 8 billion, and projections suggest this figure could reach 10 billion by 2050, highlighting the urgent need to boost food production. Agricultural robots are driving the future of the robotics sector through their efficiency and innovative capabilities. It is important to note that there are various applications of agricultural robots throughout the farming industry; these include planting, harvesting, weeding, and automated crop monitoring. Some of the key benefits of these robots include improved operational efficiency, lower labor costs, and enhanced safety as they handle repetitive or hazardous tasks. Moreover, agricultural robots offer numerous features, such as the use of advanced sensor technologies and computer vision to adapt to changing farming environments. Additionally, the market for agricultural robots is becoming an essential element in the global movement towards innovation and digital transformation aimed at achieving greater farming efficiency. Notably, there was a substantial year-over-year growth of 48% in sales of professional robots, as reported by the International Federation of Robotics.

Artificial intelligence and machine learning have been crucial in realizing the full potential of agricultural robots, enhancing precision agriculture and enabling real-time evaluations of crop conditions. Further, state-of-the-art sensors, such as LiDAR and machine vision, along with edge AI, facilitate prompt decision-making, marking a significant modern advancement. Recently, in March 2024, SIZA Robotics unveiled TOOGO, an autonomous robot tailored for vegetable and beet crops, which is set to be commercially launched in 2025. This entirely electric machine aims to tackle labor shortages and the increasing costs in agriculture.

AGRICULTURE ROBOTS MARKET: KEY SEGMENTS

Market Share by Type of Robot

Based on the type of robot, the global agriculture robots market is segmented into automated harvesting systems, driverless tractors, milking robots, unmanned aerial vehicles (UAVs) and other robots. According to our estimates, currently, milking robots capture the majority share of the market. This can be attributed to various benefits offered by milking robots including, boosting milk production, reducing labor costs, enhancing animal welfare, and saving farmers' time. However, unmanned aerial vehicles (UAVs) segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Offering

Based on the type of offering, the agriculture robots market is segmented into hardware, software and services. According to our estimates, currently, hardware segment captures the majority share of the market, owing to its essential role in enabling autonomous functions and ongoing technological advancements. However, software segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Farming Environment

Based on the type of farming environment, the agriculture robots market is segmented into indoor and outdoor. According to our estimates, currently, outdoor segment captures the majority share of the market. This can be attributed to the demand for automation in labor-intensive agricultural tasks. The growth in technology and economic efficiency is promoting the use of robots, such as agricultural drones and autonomous tractors. However, indoor segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Farm Product

Based on the type of farm product, the agriculture robots market is segmented into field crops, fruits and vegetables, livestock and others. According to our estimates, currently, field crops segment captures the majority share of the market. This can be attributed to the widespread deployment of agricultural robots for various tasks like planting, harvesting, and monitoring. However, livestock segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Application

Based on the type of application, the agriculture robots market is segmented into dairy and livestock management, field farming, harvest management, irrigation management, pruning management, soil management and others. According to our estimates, currently, field farming segment captures the majority share of the market. This can be attributed to the rising labor costs, the need for enhanced productivity, and the expanding global population. However, soil management segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Distribution Channel

Based on the type of distribution channel, the agriculture robots market is segmented into direct sales, indirect sales, leasing / rental model and robot-as-a-service (RaaS). According to our estimates, currently, direct sales segment captures the majority share of the market. This can be attributed to the fact that manufacturers are selling their robots directly to end-users and building strong relationships with customers. However, robot-as-a-service (RaaS) segment is anticipated to grow at a higher CAGR during the forecast period.

Market Share by Type of Farm Size

Based on the type of farm size, the agriculture robots market is segmented into small-scale farm, medium-scale farm and large-scale farm. According to our estimates, currently, large-scale farms segment captures the majority share of the market and this trend is unlikely to change in the future as well. Notably, this trend can be attributed to their ability to invest in cutting-edge agriculture robots, address labor shortages, meet productivity requirements, benefit from economies of scale, and stimulate business growth.

Market Share by Geographical Regions

Based on the geographical regions, the agriculture robots market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World. According to our estimates, currently, North America captures the majority share of the market, owing to the well-established infrastructure within the region. However, the market in Asia is anticipated to grow at a higher CAGR during the forecast period.

Example Players in Agriculture Robots Market

• AGCO
• Abundant Robots
• AgEagle Aerial Systems
• AgJunction
• Auroras
• BouMatic Robots
• Clearpath Robotics
• Deere & Company
• DeLaval
• Ecorobotix
• GAMAYA
• Grownetics
• Harvest Automation
• Harvest CROO Robotics
• Kubota Agricultural Machinery India
• Monarch Tractor
• Trimble
• YANMAR HOLDINGS

AGRICULTURE ROBOTS MARKET: RESEARCH COVERAGE

The report on the agriculture robots market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the agriculture robots market, focusing on key market segments, including [A] type of robot, [B] type of offering, [C] type of farming environment, [D] type of farm products, [E] type of application, [F] type of distribution channel, [G] type of farm size [H] geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the agriculture robots market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters, [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the agriculture robots market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] agriculture robots portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• Megatrends: An evaluation of ongoing megatrends in agriculture robots industry.
• Patent Analysis: An insightful analysis of patents filed / granted in the agriculture robots domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
• Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the agriculture robots market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
• Recent Developments: An overview of the recent developments made in the agriculture robots market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.

KEY QUESTIONS ANSWERED IN THIS REPORT

• How many companies are currently engaged in this market?
• How does software boost agriculture robots?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• How do government policies help the market grow?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

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TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Agriculture Robots Market
  • 6.2.1. Type of Robot
  • 6.2.2. Type of Offering
  • 6.2.3. Type of Farming Environment
  • 6.2.4. Type of Farm Product
  • 6.2.5. Type of Application
  • 6.2.6. Type of Distribution Channel
  • 6.2.7. Type of Farm Size
• 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

• 9.1. Chapter Overview
• 9.2. Agriculture Robots: Overall Market Landscape
  • 9.2.1. Analysis by Year of Establishment
  • 9.2.2. Analysis by Company Size
  • 9.2.3. Analysis by Location of Headquarters
  • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPETITIVE COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE AGRICULTURE ROBOTS MARKET

• 12.1. Agriculture Robots Market: Market Landscape of Startups
  • 12.1.1. Analysis by Year of Establishment
  • 12.1.2. Analysis by Company Size
  • 12.1.3. Analysis by Company Size and Year of Establishment
  • 12.1.4. Analysis by Location of Headquarters
  • 12.1.5. Analysis by Company Size and Location of Headquarters
  • 12.1.6. Analysis by Ownership Structure
• 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

• 13.1. Chapter Overview
• 13.2. AGCO *
  • 13.2.1. Company Overview
  • 13.2.2. Company Mission
  • 13.2.3. Company Footprint
  • 13.2.4. Management Team
  • 13.2.5. Contact Details
  • 13.2.6. Financial Performance
  • 13.2.7. Operating Business Segments
  • 13.2.8. Service / Product Portfolio (project specific)
  • 13.2.9. MOAT Analysis
  • 13.2.10. Recent Developments and Future Outlook
• 13.3. Abundant Robots
• 13.4. AgEagle Aerial Systems
• 13.5. AgJunction
• 13.6. Auroras
• 13.7. BouMatic Robots
• 13.8. Clearpath Robotics
• 13.9. Deere & Company
• 13.10. DeLaval
• 13.11. Ecorobotix
• 13.12. GAMAYA
• 13.13. Grownetics
• 13.14. Harvest Automation
• 13.15. Harvest CROO Robotics
• 13.16. Kubota Agricultural Machinery India
• 13.17. Monarch Tractor
• 13.18. Trimble
• 13.19. YANMAR HOLDINGS

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMEET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

• 17.1. Chapter Overview
• 17.2. Recent Funding
• 17.2. Recent Partnerships
• 17.2. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL AGRICULTURE ROBOTS MARKET

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Trends Disruption Impacting Market
• 18.4. Demand Side Trends
• 18.5. Supply Side Trends
• 18.6. Global Agriculture Robots Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 18.7. Multivariate Scenario Analysis
  • 18.7.1. Conservative Scenario
  • 18.7.2. Optimistic Scenario
• 18.8. Investment Feasibility Index
• 18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON TYPE OF ROBOT

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Agriculture Robots Market for Automated Harvesting Systems: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.7. Agriculture Robots Market for Driverless Tractors: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.8. Agriculture Robots Market for Milking Robots: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.9. Agriculture Robots Market for Unmanned Aerial Vehicles (UAVs): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.10. Agriculture Robots Market for Other Robots: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 19.11. Data Triangulation and Validation
  • 19.11.1. Secondary Sources
  • 19.11.2. Primary Sources
  • 19.11.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF OFFERING

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Agriculture Robots Market for Hardware: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.7. Agriculture Robots Market for Software: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.8. Agriculture Robots Market for Services: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 20.9. Data Triangulation and Validation
  • 20.9.1. Secondary Sources
  • 20.9.2. Primary Sources
  • 20.9.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON TYPE OF FARMING ENVIRONMENT

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Agriculture Robots Market for Indoor: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.7. Agriculture Robots Market for Outdoor: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 21.8. Data Triangulation and Validation
  • 21.8.1. Secondary Sources
  • 21.8.2. Primary Sources
  • 21.8.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON TYPE OF FARM PRODUCTS

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Agriculture Robots Market for Field Crops: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.7. Agriculture Robots Market for Fruits and Vegetables: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.8. Agriculture Robots Market for Livestock: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.9. Agriculture Robots Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 22.10. Data Triangulation and Validation
  • 22.10.1. Secondary Sources
  • 22.10.2. Primary Sources
  • 22.10.3. Statistical Modeling

23. MARKET OPPORTUNITIES BASED ON TYPE OF APPLICATION

• 23.1. Chapter Overview
• 23.2. Key Assumptions and Methodology
• 23.3. Revenue Shift Analysis
• 23.4. Market Movement Analysis
• 23.5. Penetration-Growth (P-G) Matrix
• 23.6. Agriculture Robots Market for Dairy and Livestock Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.7. Agriculture Robots Market for Field Farming: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.8. Agriculture Robots Market for Harvest Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.9. Agriculture Robots Market for Irrigation Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.10. Agriculture Robots Market for Pruning Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.11. Agriculture Robots Market for Soil Management: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.12. Agriculture Robots Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 23.13. Data Triangulation and Validation
  • 23.13.1. Secondary Sources
  • 23.13.2. Primary Sources
  • 23.13.3. Statistical Modeling

24. MARKET OPPORTUNITIES BASED ON TYPE OF DISTRIBUTION CHANNEL

• 24.1. Chapter Overview
• 24.2. Key Assumptions and Methodology
• 24.3. Revenue Shift Analysis
• 24.4. Market Movement Analysis
• 24.5. Penetration-Growth (P-G) Matrix
• 24.6. Agriculture Robots Market for Direct Sales: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.7. Agriculture Robots Market for Indirect Sales: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.8. Agriculture Robots Market for Leasing / Rental Model: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.9. Agriculture Robots Market for Robot-as-a-Service (RaaS): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 24.10. Data Triangulation and Validation
  • 24.10.1. Secondary Sources
  • 24.10.2. Primary Sources
  • 24.10.3. Statistical Modeling

25. MARKET OPPORTUNITIES BASED ON TYPE OF FARM SIZE

• 25.1. Chapter Overview
• 25.2. Key Assumptions and Methodology
• 25.3. Revenue Shift Analysis
• 25.4. Market Movement Analysis
• 25.5. Penetration-Growth (P-G) Matrix
• 25.6. Agriculture Robots Market for Small-Scale Farms: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 25.7. Agriculture Robots Market for Medium-Scale Farms: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 25.8. Agriculture Robots Market for Large-Scale Farms: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 25.9. Data Triangulation and Validation
  • 25.9.1. Secondary Sources
  • 25.9.2. Primary Sources
  • 25.9.3. Statistical Modeling

26. MARKET OPPORTUNITIES AGRICULTURE ROBOTS IN NORTH AMERICA

• 26.1. Chapter Overview
• 26.2. Key Assumptions and Methodology
• 26.3. Revenue Shift Analysis
• 26.4. Market Movement Analysis
• 26.5. Penetration-Growth (P-G) Matrix
• 26.6. Agriculture Robots Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.1. Agriculture Robots Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.2. Agriculture Robots Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.3. Agriculture Robots Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 26.6.4. Agriculture Robots Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR AGRICULTURE ROBOTS IN EUROPE

• 27.1. Chapter Overview
• 27.2. Key Assumptions and Methodology
• 27.3. Revenue Shift Analysis
• 27.4. Market Movement Analysis
• 27.5. Penetration-Growth (P-G) Matrix
• 27.6. Agriculture Robots Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.1. Agriculture Robots Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.2. Agriculture Robots Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.3. Agriculture Robots Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.4. Agriculture Robots Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.5. Agriculture Robots Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.6. Agriculture Robots Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.7. Agriculture Robots Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.8. Agriculture Robots Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.9. Agriculture Robots Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.10. Agriculture Robots Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.11. Agriculture Robots Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.12. Agriculture Robots Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.13. Agriculture Robots Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.14. Agriculture Robots Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.15. Agriculture Robots Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 27.6.16. Agriculture Robots Market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR AGRICULTURE ROBOTS IN ASIA

• 28.1. Chapter Overview
• 28.2. Key Assumptions and Methodology
• 28.3. Revenue Shift Analysis
• 28.4. Market Movement Analysis
• 28.5. Penetration-Growth (P-G) Matrix
• 28.6. Agriculture Robots Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.1. Agriculture Robots Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.2. Agriculture Robots Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.3. Agriculture Robots Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.4. Agriculture Robots Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.5. Agriculture Robots Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 28.6.6. Agriculture Robots Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 28.7. Data Triangulation and Validation

29. MARKET OPPORTUNITIES FOR AGRICULTURE ROBOTS IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 29.1. Chapter Overview
• 29.2. Key Assumptions and Methodology
• 29.3. Revenue Shift Analysis
• 29.4. Market Movement Analysis
• 29.5. Penetration-Growth (P-G) Matrix
• 29.6. Agriculture Robots Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.1. Agriculture Robots Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
  • 29.6.2. Agriculture Robots Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.3. Agriculture Robots Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.4. Agriculture Robots Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.5. Agriculture Robots Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.6. Agriculture Robots Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.7. Agriculture Robots Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 29.6.8. Agriculture Robots Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 29.7. Data Triangulation and Validation

30. MARKET OPPORTUNITIES FOR AGRICULTURE ROBOTS IN LATIN AMERICA

• 30.1. Chapter Overview
• 30.2. Key Assumptions and Methodology
• 30.3. Revenue Shift Analysis
• 30.4. Market Movement Analysis
• 30.5. Penetration-Growth (P-G) Matrix
• 30.6. Agriculture Robots Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 30.6.1. Agriculture Robots Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 30.6.2. Agriculture Robots Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 30.6.3. Agriculture Robots Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 30.6.4. Agriculture Robots Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 30.6.5. Agriculture Robots Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 30.6.6. Agriculture Robots Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
• 30.7. Data Triangulation and Validation

31. MARKET OPPORTUNITIES FOR AGRICULTURE ROBOTS IN REST OF THE WORLD

• 31.1. Chapter Overview
• 31.2. Key Assumptions and Methodology
• 31.3. Revenue Shift Analysis
• 31.4. Market Movement Analysis
• 31.5. Penetration-Growth (P-G) Matrix
• 31.6. Agriculture Robots Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 31.6.1. Agriculture Robots Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 31.6.2. Agriculture Robots Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
  • 31.6.3. Agriculture Robots Market in Other Countries
• 31.7. Data Triangulation and Validation

32. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

• 32.1. Leading Player 1
• 32.2. Leading Player 2
• 32.3. Leading Player 3
• 32.4. Leading Player 4
• 32.5. Leading Player 5
• 32.6. Leading Player 6
• 32.7. Leading Player 7
• 32.8. Leading Player 8

33. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

34. KEY WINNING STRATEGIES

35. PORTER FIVE FORCES ANALYSIS

36. SWOT ANALYSIS

37. VALUE CHAIN ANALYSIS

38. ROOTS STRATEGIC RECOMMENDATIONS

• 38.1. Chapter Overview
• 38.2. Key Business-related Strategies
  • 38.2.1. Research & Development
  • 38.2.2. Product Manufacturing
  • 38.2.3. Commercialization / Go-to-Market
  • 38.2.4. Sales and Marketing
• 38.3. Key Operations-related Strategies
  • 38.3.1. Risk Management
  • 38.3.2. Workforce
  • 38.3.3. Finance
  • 38.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

39. INSIGHTS FROM PRIMARY RESEARCH

40. REPORT CONCLUSION

SECTION IX: APPENDIX

41. TABULATED DATA

42. LIST OF COMPANIES AND ORGANIZATIONS

43. CUSTOMIZATION OPPORTUNITIES

44. ROOTS SUBSCRIPTION SERVICES

45. AUTHOR DETAILS

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