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自動化農業用機器

市場調查報告書

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1766052

2032 年水果採摘機器人市場預測：按機器人類型、動力來源、技術、最終用戶和地區進行的全球分析

Fruit Thinning Robots Market Forecasts to 2032 - Global Analysis By Robot Type (Autonomous Robots, End Effector Tools/Manipulators and Semi-Autonomous Robots), Power Source, Technology, End User and By Geography

出版日期: 2025年07月07日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球水果採摘機器人市場預計在 2025 年達到 7,0,230 億美元，到 2032 年將達到 1,6522 億美元，預測期內的複合年成長率為 13%。

疏果機器人是一種自動化農業機械，旨在選擇性地從樹上移除多餘的果實，以最佳化作物的品質和產量。它們配備了人工智慧、電腦視覺和機械臂，能夠準確地識別和移除發育不良或過於擁擠的果實。這些機器人透過降低人事費用、最大限度地減少人為錯誤並確保果實更健康、更大，從而促進了永續農業的發展。這些機器人的引入提高了果園的效率，尤其是對蘋果和桃子等作物。

根據美國經濟研究局 2023 年的報告，過去五年農業人事費用飆升 10%，這使得自動化解決方案更具吸引力。

提高水果品質標準

全球水果品質標準的不斷提高是水果疏果機器人市場發展的關鍵驅動力。消費者和零售商對大小均勻、無瑕疵的優質農產品的需求日益成長。人工疏果雖然有效，但勞動強度高且容易偏差。機器人疏果能夠確保果實間距精確一致，從而實現最佳營養分配並促進果實發育。這種精準度有助於種植者滿足嚴格的市場規範，並最大限度地提高產出價值。對提高整體產量品質和市場競爭力的渴望，直接推動了機器人疏果解決方案的應用。

技術複雜性的挑戰

水果疏果機器人市場發展的一個主要限制因素是其開發和部署過程中固有的技術複雜性和挑戰。設計一個能夠在各種果園地形中導航、準確識別單一水果並執行精細疏果任務的機器人需要先進的機器人技術、電腦視覺和人工智慧。多樣化的水果種類、樹體結構和環境條件也增加了這種複雜性。克服這些技術挑戰並開發一個堅固、可靠且用途廣泛的機器人是一項重大的工程挑戰。與簡單的農業機械相比，這種複雜性可能導致更高的開發成本和更慢的市場滲透速度。

模組化作物專用工具的開發

水果疏果機器人市場的一個重要機會在於開發模組化、作物專用工具。與其開發單一的通用疏果機器人，不如專注於開發可互換的末端執行器和針對特定水果類型（例如蘋果、桃子、柑橘）客製化的軟體模組，這將提高機器人的多功能性和市場滲透率。這種方法使種植者能夠針對不同的作物客製化機器人解決方案，而無需投資全新的機械設備。這種模組化設計還可以降低整體擁有成本，並提高農民的投資收益。作物專用附件提供的彈性，加上園藝業多樣化的需求，展現出引人注目的成長之路。

與手動疏伐的衝突

疏果機器人市場面臨來自人工疏果根深蒂固的巨大威脅。人工疏果雖然勞力密集，但靈活性高，可以根據果實密度和樹體特徵的變化來進行人工判斷。許多種植者仍然傾向於人工疏果，因為前期投資低且實踐經驗豐富，尤其是在勞動力充足且廉價的地區。機器人系統高昂的前期成本，加上需要專業的訓練和維護，使其吸引力不如傳統的人工方法。這種對人力的嚴重依賴為機器人解決方案帶來了巨大的競爭挑戰。

COVID-19的影響

新冠疫情對水果採摘機器人市場產生了許多影響。最初，全球供應鏈中斷和經濟不確定性可能減緩了對新農業技術的投資。然而，疫情也凸顯了農業勞動力供應的嚴重脆弱性，包括對流動工人的限制以及日益嚴重的健康問題。體力勞動的短缺顯著加速了人們對水果採摘機器人等自動化解決方案的興趣和需求。種植者已經意識到對具有韌性、更少勞動力依賴的營運模式的迫切需求，並重新將農業自動化作為應對勞動力挑戰的長期解決方案。

預計在預測期內，自主機器人領域將成為最大的領域。

由於對自給自足、高效且可最大程度減少果園人工干預的解決方案的需求日益成長，因此自主機器人領域預計將在預測期內佔據最大的市場佔有率。自主機器人能夠在複雜地形中導航，持續運作並收集大量數據，從而最佳化疏果作業。它們能夠獨立覆蓋大面積區域，從而提高果農的生產力並降低人事費用。先進的人工智慧和機器學習在決策中的融合，進一步鞏固了其在市場上的主導地位。

預計在預測期內，電池供電領域將以最高的複合年成長率成長。

在預測期內，電池供電領域預計將呈現最高的複合年成長率，這得益於市場對環境永續性和營運靈活性的日益重視。電池供電機器人擁有安靜運作、零排放以及在無電源環境下作業的優勢。電池技術的進步使其擁有更長的運作時間和更快的充電速度，更適合長時間的田間作業。減少對石化燃料依賴和遵守環境法規的願望，進一步加速了電動機器人解決方案在農業領域的應用。

比最大的地區

預計亞太地區將在預測期內佔據最大的市場佔有率，這得益於該地區廣闊的農業用地、高產的水果以及先進農業技術的日益普及，尤其是在中國和印度等國家。國內消費和出口市場對優質水果的需求不斷成長，推動了對自動化疏果解決方案的投資。政府對農業現代化的支持以及農民對精密農業實踐的認知不斷提高，進一步促進了市場的成長。

複合年成長率最高的地區

預計北美地區在預測期內的複合年成長率最高。這是由於農業領域勞動力嚴重短缺且人力高成本。領先的農業科技公司的存在以及對機器人解決方案研發的大量投資將進一步推動市場擴張。北美種植者對精密農業和智慧農業方法的重視也促進了水果採摘機器人的快速普及。對農業營運效率和永續性的需求仍然是關鍵促進因素。

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公司簡介
- 對其他市場參與企業（最多 3 家公司）進行全面分析
- 主要企業的SWOT分析（最多3家公司）
地理細分
- 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭基準化分析
- 透過產品系列、地理分佈和策略聯盟對主要企業基準化分析

介紹
北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第11章重大進展

協議、夥伴關係、合作和合資企業
收購與合併
新產品發布
業務擴展
其他關鍵策略

第12章公司概況

FFRobotics
Abundant Robotics
Tevel Aerobotics Technologies
Clearpath Robotics, Inc.
Kubota Corporation
Agrobot
Octinion
Ripe Robotics
Saga Robotics
Green Atlas
Bakus Robotics
Harvest CROO Robotics
Naio Technologies
Vision Robotics Corporation
Aigritec
Energid Technologies
Blue River Technology
Panasonic Corporation

簡介目錄圖表

Product Code: SMRC29907

According to Stratistics MRC, the Global Fruit Thinning Robots Market is accounted for $702.3 billion in 2025 and is expected to reach $1652.2 billion by 2032 growing at a CAGR of 13% during the forecast period. Fruit thinning robots are automated agricultural machines designed to selectively remove excess fruit from trees to optimize crop quality and yield. Equipped with AI, computer vision, and robotic arms, they identify and remove underdeveloped or overcrowded fruits with precision. These robots reduce labor costs, minimize human error, and promote sustainable farming by ensuring healthier, larger fruits. Their adoption enhances efficiency in orchards, particularly for crops like apples and peaches.

According to the USDA Economic Research Service reports from 2023, labor costs in agriculture have surged by 10% over the last five years, making automation solutions more appealing.

Market Dynamics:

Driver:

Rising standards for fruit quality

The escalating global standards for fruit quality are a primary driver for the fruit thinning robots market. Consumers and retailers increasingly demand uniformly sized, blemish-free, and high-quality produce. Manual thinning, while effective, is labor-intensive and prone to inconsistencies. Robotic thinning ensures precise and consistent fruit spacing, leading to optimal nutrient distribution and improved fruit development. This precision helps growers meet stringent market specifications and maximize the value of their harvests. The desire to enhance overall yield quality and market competitiveness is directly fueling the adoption of robotic thinning solutions.

Restraint:

Technical complexity challenges

A significant restraint for the fruit thinning robots market is the inherent technical complexity and challenges associated with their development and deployment. Designing robots that can navigate diverse orchard terrains, accurately identify individual fruits, and perform delicate thinning operations requires advanced robotics, computer vision, and artificial intelligence. The variability in fruit types, tree structures, and environmental conditions adds to this complexity. Overcoming these technical hurdles to create robust, reliable, and versatile robots is a substantial engineering challenge. This complexity can lead to higher development costs and slower market penetration compared to simpler agricultural machinery.

Opportunity:

Development of modular, crop-specific tools

A significant opportunity for the fruit thinning robots market lies in the development of modular and crop-specific tools. Instead of creating a single, universal thinning robot, focusing on interchangeable end-effectors and software modules tailored to specific fruit types (e.g., apples, peaches, citrus) can enhance versatility and market adoption. This approach allows growers to customize their robotic solutions for different crops without investing in entirely new machines. Such modularity can also reduce the overall cost of ownership and increase the return on investment for farmers. The flexibility offered by crop-specific attachments, backed by the diverse needs of horticulture, presents a compelling growth pathway.

Threat:

Competition from Manual Thinning

The fruit thinning robots market faces a considerable threat from the deeply entrenched practice of manual thinning. Manual thinning, while labor-intensive, is highly flexible and can adapt to variations in fruit density and tree characteristics with human judgment. Many growers, particularly in regions with abundant and affordable labor, still prefer manual methods due to lower upfront investment and established practices. The initial high cost of robotic systems, coupled with the need for specialized training and maintenance, can make them less attractive than traditional manual approaches. This strong reliance on human labor poses a significant competitive challenge for robotic solutions.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the fruit thinning robots market. Initially, disruptions in global supply chains and economic uncertainties might have slowed down investments in new agricultural technologies. However, the pandemic also highlighted the severe vulnerabilities in the agricultural labor supply, with restrictions on migrant workers and increased health concerns. This scarcity of manual labor significantly accelerated the interest and demand for automated solutions like fruit thinning robots. Growers recognized the critical need for resilient and less labor-dependent operations, driving a renewed focus on agricultural automation as a long-term solution to labor challenges.

The autonomous robots segment is expected to be the largest during the forecast period

The autonomous robots segment is expected to account for the largest market share during the forecast period, driven by the increasing demand for self-sufficient and highly efficient solutions that minimize human intervention in orchards. Autonomous robots can navigate complex terrains, operate continuously, and collect vast amounts of data, leading to optimized thinning operations. Their ability to cover large areas independently enhances productivity and reduces labor costs for fruit growers. The integration of advanced AI and machine learning for decision-making further solidifies their leading market position.

The battery operated segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the battery operated segment is predicted to witness the highest growth rate, fuelled by the growing emphasis on environmental sustainability and operational flexibility, is expected to have the highest CAGR during the forecast period. Battery-operated robots offer silent operation, zero emissions, and the ability to operate in areas without direct power access. Advancements in battery technology, providing longer runtimes and faster charging, are making these units increasingly practical for extended fieldwork. The desire to reduce reliance on fossil fuels and comply with environmental regulations further accelerates the adoption of electric robotic solutions in agriculture.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to the region's extensive agricultural lands, high fruit production volumes, and increasing adoption of advanced farming technologies, particularly in countries like China and India. The rising demand for high-quality fruits for both domestic consumption and export markets drives investment in automated thinning solutions. Government support for agricultural modernization and the growing awareness among farmers about precision agriculture practices further contribute to market growth.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by the severe labor shortages in the agricultural sector and the high cost of manual labor. The presence of major agricultural technology companies and significant investments in R&D for robotic solutions further fuel market expansion. A strong emphasis on precision agriculture and smart farming practices among North American growers also contributes to the rapid adoption of fruit thinning robots. The demand for efficiency and sustainability in farming operations remains a key driver.

Key players in the market

Some of the key players in Fruit Thinning Robots Market include FFRobotics, Abundant Robotics, Tevel Aerobotics Technologies, Clearpath Robotics Inc., Kubota Corporation, Agrobot, Octinion, Ripe Robotics, Saga Robotics, Green Atlas, Bakus Robotics, Harvest CROO Robotics, Naio Technologies, Vision Robotics Corporation, Aigritec, Energid Technologies, Blue River Technology, and Panasonic Corporation.

Key Developments:

In June 2025, FFRobotics introduced the OrchardX AI Thinning Robot, designed for precision thinning in apple and pear orchards. Equipped with advanced computer vision and AI, it identifies and removes excess fruit to optimize yield, reducing labor costs by 40%. The robot's flexible grippers ensure minimal damage to trees, enhancing fruit quality.

In May 2025, Tevel Aerobotics Technologies launched the FAR-T2000 Autonomous Thinning Drone, utilizing AI-based vision systems to selectively thin fruits with high precision. The drone's tethered design allows continuous operation, covering large orchards swiftly. It minimizes fruit damage, improving crop quality and yield. Recognized at the 2023 World Ag Expo, Tevel's technology addresses labor shortages, offering a scalable solution for modern agriculture.

In March 2025, Saga Robotics announced the commercial rollout of its Thorvald Thinning Robot, designed for continuous orchard management. Operating day and night, Thorvald uses advanced sensors to thin fruits with precision, improving yield consistency. Its modular design supports multiple tasks, including pruning, making it a versatile tool for growers.

Robot Types Covered:

Autonomous Robots
End Effector Tools/Manipulators
Semi-Autonomous Robots

Power Sources Covered:

Battery Operated
Solar Powered
Electric Powered
Other Power Sources

Sensing Technologies Covered:

Vision-Based
Non-Vision Based
Other Sensing Technologies

End Users Covered:

Corporate Farming Enterprises
Agricultural Cooperatives
Individual Farmers
Greenhouses
Research Institutes
Other End Users

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

2 Preface

2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions

3 Market Trend Analysis

3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Fruit Thinning Robots Market, By Robot Type

5.1 Introduction
5.2 Autonomous Robots
5.3 End Effector Tools/Manipulators
- 5.3.1 Pruning Shear
- 5.3.2 Pruning Saw
- 5.3.3 Vacuum Pruning
5.4 Semi-Autonomous Robots

6 Global Fruit Thinning Robots Market, By Power Source

6.1 Introduction
6.2 Battery Operated
6.3 Solar Powered
6.4 Electric Powered
6.5 Other Power Sources

7 Global Fruit Thinning Robots Market, By Sensing Technology

7.1 Introduction
7.2 Vision-Based
- 7.2.1 2D Imaging
- 7.2.2 3D Imaging
- 7.2.3 Hyperspectral Imaging
- 7.2.4 3D Imaging
7.3 Non-Vision Based
- 7.3.1 Mechanical Sensing
- 7.3.2 LiDAR
7.4 Other Sensing Technologies

8 Global Fruit Thinning Robots Market, By End User

8.1 Introduction
8.2 Corporate Farming Enterprises
8.3 Agricultural Cooperatives
8.4 Individual Farmers
8.5 Greenhouses
8.6 Research Institutes
8.7 Other End Users

10 Global Fruit Thinning Robots Market, By Geography

10.1 Introduction
10.2 North America
- 10.2.1 US
- 10.2.2 Canada
- 10.2.3 Mexico
10.3 Europe
- 10.3.1 Germany
- 10.3.2 UK
- 10.3.3 Italy
- 10.3.4 France
- 10.3.5 Spain
- 10.3.6 Rest of Europe
10.4 Asia Pacific
- 10.4.1 Japan
- 10.4.2 China
- 10.4.3 India
- 10.4.4 Australia
- 10.4.5 New Zealand
- 10.4.6 South Korea
- 10.4.7 Rest of Asia Pacific
10.5 South America
- 10.5.1 Argentina
- 10.5.2 Brazil
- 10.5.3 Chile
- 10.5.4 Rest of South America
10.6 Middle East & Africa
- 10.6.1 Saudi Arabia
- 10.6.2 UAE
- 10.6.3 Qatar
- 10.6.4 South Africa
- 10.6.5 Rest of Middle East & Africa

11 Key Developments

11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling

12.1 FFRobotics
12.2 Abundant Robotics
12.3 Tevel Aerobotics Technologies
12.4 Clearpath Robotics, Inc.
12.5 Kubota Corporation
12.6 Agrobot
12.7 Octinion
12.8 Ripe Robotics
12.9 Saga Robotics
12.10 Green Atlas
12.11 Bakus Robotics
12.12 Harvest CROO Robotics
12.13 Naio Technologies
12.14 Vision Robotics Corporation
12.15 Aigritec
12.16 Energid Technologies
12.17 Blue River Technology
12.18 Panasonic Corporation

簡介目錄圖表

List of Tables

Table 1 Global Fruit Thinning Robots Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Fruit Thinning Robots Market Outlook, By Robot Type (2024-2032) ($MN)
Table 3 Global Fruit Thinning Robots Market Outlook, By Autonomous Robots (2024-2032) ($MN)
Table 4 Global Fruit Thinning Robots Market Outlook, By End Effector Tools/Manipulators (2024-2032) ($MN)
Table 5 Global Fruit Thinning Robots Market Outlook, By Pruning Shear (2024-2032) ($MN)
Table 6 Global Fruit Thinning Robots Market Outlook, By Pruning Saw (2024-2032) ($MN)
Table 7 Global Fruit Thinning Robots Market Outlook, By Vacuum Pruning (2024-2032) ($MN)
Table 8 Global Fruit Thinning Robots Market Outlook, By Semi-Autonomous Robots (2024-2032) ($MN)
Table 9 Global Fruit Thinning Robots Market Outlook, By Power Source (2024-2032) ($MN)
Table 10 Global Fruit Thinning Robots Market Outlook, By Battery Operated (2024-2032) ($MN)
Table 11 Global Fruit Thinning Robots Market Outlook, By Solar Powered (2024-2032) ($MN)
Table 12 Global Fruit Thinning Robots Market Outlook, By Electric Powered (2024-2032) ($MN)
Table 13 Global Fruit Thinning Robots Market Outlook, By Other Power Sources (2024-2032) ($MN)
Table 14 Global Fruit Thinning Robots Market Outlook, By Sensing Technology (2024-2032) ($MN)
Table 15 Global Fruit Thinning Robots Market Outlook, By Vision-Based (2024-2032) ($MN)
Table 16 Global Fruit Thinning Robots Market Outlook, By 2D Imaging (2024-2032) ($MN)
Table 17 Global Fruit Thinning Robots Market Outlook, By 3D Imaging (2024-2032) ($MN)
Table 18 Global Fruit Thinning Robots Market Outlook, By Hyperspectral Imaging (2024-2032) ($MN)
Table 19 Global Fruit Thinning Robots Market Outlook, By 3D Imaging (2024-2032) ($MN)
Table 20 Global Fruit Thinning Robots Market Outlook, By Non-Vision Based (2024-2032) ($MN)
Table 21 Global Fruit Thinning Robots Market Outlook, By Mechanical Sensing (2024-2032) ($MN)
Table 22 Global Fruit Thinning Robots Market Outlook, By LiDAR (2024-2032) ($MN)
Table 23 Global Fruit Thinning Robots Market Outlook, By Other Sensing Technologies (2024-2032) ($MN)
Table 24 Global Fruit Thinning Robots Market Outlook, By End User (2024-2032) ($MN)
Table 25 Global Fruit Thinning Robots Market Outlook, By Corporate Farming Enterprises (2024-2032) ($MN)
Table 26 Global Fruit Thinning Robots Market Outlook, By Agricultural Cooperatives (2024-2032) ($MN)
Table 27 Global Fruit Thinning Robots Market Outlook, By Individual Farmers (2024-2032) ($MN)
Table 28 Global Fruit Thinning Robots Market Outlook, By Greenhouses (2024-2032) ($MN)
Table 29 Global Fruit Thinning Robots Market Outlook, By Research Institutes (2024-2032) ($MN)
Table 30 Global Fruit Thinning Robots Market Outlook, By Other End Users (2024-2032) ($MN)