作物収穫ロボットの市場：作物タイプ、機能、技術、地域別、2026年～2032年

作物収穫ロボット市場評価-2026年～2032年

AI、機械学習、ロボット工学の進歩により、これらのロボットの効率と精度が大幅に向上し、より複雑な収穫作業を実行できるようになりました。労働力不足が深刻化する中、ロボットは継続的に稼働し、肉体労働への依存度を低下させることで、信頼できる回答を提供しており、2024年には134億米ドルを超え、2032年には1,117億米ドルに達します。

さらに、作物収穫ロボットは、果物、野菜、穀物を高精度で最小限のダメージで収穫するために広く使用されています。イチゴやトマトのようなデリケートな作物の収穫や、小麦やトウモロコシのような大規模な穀物栽培に採用されています。また、雑草駆除や害虫駆除の機能を統合し、総合的な農場管理に貢献するロボットもあり、市場成長は2026年から2032年までCAGR約33.49％で成長すると予想されます。

作物収穫ロボット市場定義/概要

農作物収穫ロボットは、センサー、人工知能、ロボット技術を利用して、農地から多様な作物を自律的かつ効率的に収穫する先進的な機械です。作物への害を最小限に抑えながら、高い精度で果物、野菜、穀物を選別するために使用されます。その用途には、効率性の向上、人件費の削減、農業における労働力不足の緩和などが含まれます。今後、農作物収穫ロボットは、さまざまな作物や条件への適応性を向上させるためのAIや機械学習の進歩、リアルタイムのデータ活用のためのスマート農業システムとの統合、手頃な価格と拡張性の向上などの恩恵を受けることになり、これらすべてがロボットの採用を促進し、現代の農業慣行を変革することになると思われます。

長期的なコスト削減は作物収穫ロボット市場を牽引するか？

長期的なコスト削減は、これらの技術をより広範な農作業において経済的に実行可能なものにすることで、農作物収穫ロボット業界を牽引すると予想されます。収穫ロボットへの初期投資は多額になる可能性があるが、長期的な節約は、人件費の削減、効率の向上、作物のロスの減少によってもたらされます。技術改良によって生産コストが削減され、耐久性と効率が向上すれば、農家や農業企業はこれらのロボットをより利用しやすくなると思われます。このような長期的に安価なコストへのシフトは、収穫ロボットの魅力を高め、市場導入を早め、この分野の大きな成長を促進すると思われます。

最近、米国農務省は2023年9月、農作物収穫ロボットを含む農業用ロボットの開発と普及を支援するため、5,000万米ドルの資金提供プログラムを発表しました。このイニシアチブは、農家の作業コストを削減し、先端技術へのアクセスを強化することを目的としています。このプログラムは、調査や助成金を提供することで、初期投資の負担を軽減し、さまざまな農業分野での収穫ロボットの採用を加速させることが期待されています。学術誌「Agricultural Robotics and Automation」に掲載された研究では、ロボット工学の進歩により、今後5年間で作物収穫ロボットのコストが最大25％削減されると予測されていることが強調されています。

高いメンテナンス性と信頼性は作物収穫ロボット市場の成長を妨げるか？

高いメンテナンス要件と信頼性の問題が増加することで、運用コストが増加し、ロボットシステム全体の効率が低下することで、作物収穫ロボット市場の成長が阻害される可能性があります。メンテナンス頻度の高いロボットは、定期的な整備や修理が必要になる可能性があり、農家にとっては費用と時間がかかります。こうしたメンテナンスの問題は、ダウンタイムの長期化、生産量の低下、運用コストの上昇を招き、収穫ロボットを従来の技術よりも望ましくないものにしています。その結果、これらのロボットのメンテナンスには高いコストと複雑さが伴うと認識され、ロボットの普及と農業経営への統合が妨げられる可能性があります。

しかし、技術改良によって作物収穫ロボットの耐久性と信頼性が向上し、こうした懸念に対処しつつあります。ロボット工学と人工知能の革新により、メンテナンスの頻度が少なく、動作の安定性が高い、より耐久性の高い設計が実現しつつあります。メーカーはまた、ダウンタイムを減らし、システムの信頼性を高めるために、予知保全ソリューションやサポートサービスの改善に投資しています。このような進歩が続けば、メンテナンスや信頼性の問題が市場成長に与える影響は減少し、より広範な導入が可能になり、農作物収穫ロボット市場を前進させると予測されます。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主な調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 作物収穫ロボット市場：作物タイプ別

• 穀物
• 果物
• 野菜
• 特殊作物

第5章 作物収穫ロボット市場：機能別

• 自律型収穫ロボット
• 半自律型または協働型収穫ロボット
• 特定の作業に特化したロボット

第6章 作物収穫ロボット市場：技術別

• GPSとナビゲーションシステム
• コンピュータビジョンとセンシング技術
• ロボット工学と自動化技術
• 人工知能と機械学習アルゴリズム

第7章 地域別分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第8章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第9章 競合情勢

• 主要企業
• 市場シェア分析

第10章 企業プロファイル

• Deere & Company
• Cnh Industrial
• Agco Corporation
• Lely
• Yamaha Motor Corporation
• Abundant Robotics
• Grownetics, Inc.
• Auroras S.r.l.
• Gamaya
• Yanmar Holdings Co. Ltd

第11章 市場の展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第12章 付録

• 略語リスト
• 出典と参考文献

Crop Harvesting Robots Market Valuation - 2026-2032

The growing demand AI, machine learning, and robotics advancements have substantially improved the efficiency and precision of these robots, allowing them to execute more complex harvesting jobs. As labor shortages worsen, robots provide a dependable answer by running continuously and lowering reliance on physical labor is surpassing USD 13.4 Billion in 2024 and reaching USD 111.7 Billion by 2032.

Furthermore, crop harvesting robots are widely used for picking fruits, vegetables, and grains with high precision and minimal damage. They are employed in harvesting delicate crops like strawberries and tomatoes, as well as in larger-scale grain farming for crops such as wheat and corn. Some robots also integrate functionalities for weed control and pest management, contributing to comprehensive farm management, market growth is expected to grow at a CAGR of about 33.49% from 2026 to 2032.

Crop Harvesting Robots Market: Definition/ Overview

Crop harvesting robots are advanced machines that use sensors, artificial intelligence, and robotics technology to autonomously and efficiently harvest diverse crops from agricultural fields. They are used to select fruits, vegetables, and grains with high precision while causing minimal crop harm. Their uses include enhancing efficiency, lowering labor costs, and alleviating labor shortages in agriculture. Looking ahead, crop harvesting robots will benefit from advances in AI and machine learning for improved adaptability to different crops and conditions, integration with smart farming systems for real-time data utilization, and increased affordability and scalability, all of which will drive their adoption and transform modern agricultural practices.

Will Cost Reduction in the Long Term Drive the Crop Harvesting Robots Market?

Long-term cost reductions are expected to drive the crop harvesting robots industry by making these technologies more economically viable for a wider range of agricultural operations. While the initial investment in harvesting robots can be significant, the long-term savings result from lower labor expenses, better efficiency, and fewer crop losses. Farmers and agricultural enterprises will get greater access to these robots as technical improvements reduce production costs and increase their durability and efficiency. This shift toward cheaper long-term costs will increase the appeal of harvesting robots, hasten market adoption, and drive major growth in the sector.

Recently, In September 2023, The U.S. Department of Agriculture announced a $50 million funding program to support the development and deployment of agricultural robotics, including crop harvesting robots. This initiative aims to reduce operational costs for farmers and enhance the accessibility of advanced technologies. By subsidizing research and offering grants, the program is expected to lower the initial investment burden, thus accelerating the adoption of harvesting robots across various agricultural sectors. A study published in the journal Agricultural Robotics and Automation highlighted that advancements in robotics are projected to reduce the cost of crop harvesting robots by up to 25% over the next five years.

Will High Maintenance and Reliability Hinder the Growth of the Crop Harvesting Robots Market?

Increasing high maintenance requirements and reliability difficulties may impede the growth of the crop harvesting robots market by increasing operational costs and reducing overall robotic system efficiency. Maintenance-intensive robots may necessitate regular servicing and repairs, which can be expensive and time-consuming for farmers. These maintenance issues can result in longer downtime, lower output, and higher operational costs, making harvesting robots less desirable than traditional techniques. As a result, the perceived high cost and complexity of maintaining these robots may hinder their wider adoption and integration into agricultural operations.

However, technological improvements are addressing these concerns by increasing the durability and reliability of crop harvesting robots. Robotics and artificial intelligence innovations are resulting in more durable designs that require less frequent maintenance and provide higher operational stability. Manufacturers are also investing in predictive maintenance solutions and improved support services to reduce downtime and increase system reliability. As these advancements continue, the influence of maintenance and dependability difficulties on market growth is predicted to decrease, allowing for broader adoption and driving the crop harvesting robots market forward.

Category-Wise Acumens

How Will Usage of Autonomous Harvesting Robots Fuel the growth of Crop Harvesting Robots Market?

Increasing use of autonomous harvesting robots is driving the crop harvesting robots industry forward by addressing fundamental issues in modern agriculture, such as manpower shortages and the demand for efficiency. Autonomous robots can travel fields, detect ripe crops, and perform high-precision harvesting activities without the need for continual human supervision. This feature considerably increases production while lowering labor expenses, making it an appealing alternative for farms wishing to improve operations and manage large-scale agricultural chores more effectively.

Furthermore, the use of autonomous harvesting robots is propelling market expansion through technological breakthroughs and better scalability. These robots may be deployed over a variety of crops and terrains, allowing for greater flexibility and scalability in harvest operations. As technology advances, autonomous robots become more dependable and cost-effective, encouraging widespread usage across many geographies and farming industries. This widespread use promotes market expansion and encourages additional innovation, as advances in autonomous technology improve the performance and integration of crop harvesting robots in agriculture.

However, Specific task-focused robots are emerging as the fastest-growing sector in the crop harvesting robots market due to their ability to meet specific harvesting requirements with great precision and efficiency. These robots are built for particular jobs, such as selecting specific types of fruits and vegetables, and are outfitted with advanced sensors and algorithms that improve performance for those crops. For example, robots dedicated to harvesting strawberries or lettuce can be fine-tuned to meet the specific needs of each crop, enhancing yield quality and lowering waste.

How will Artificial Intelligence Propel the Crop Harvesting Robots Market?

The growing usage of Artificial intelligence (AI) is expected to considerably drive the crop harvesting robots market by improving their efficiency, accuracy, and adaptability. AI-powered robots use advanced machine learning algorithms and computer vision to locate and pick ripe crops with high precision, saving damage and waste. These features allow robots to operate independently in a variety of field circumstances, adapt to different crop varieties, and optimize harvesting tactics using real-time data. The incorporation of AI thereby addresses critical concerns such as labor shortages and uneven harvesting quality, making robotic systems more effective and appealing to farmers.

Furthermore, AI helps crop harvesting robots develop and innovate over time by analyzing data and doing predictive maintenance. Robots can analyze enormous volumes of operational data using AI to discover patterns and predict possible issues before they occur, resulting in reduced downtime and maintenance costs. This data-driven strategy not only improves the longevity and dependability of harvesting robots, but it also provides useful insights for optimizing farming techniques. As AI technology advances, its role in driving breakthroughs and boosting adoption of agricultural harvesting robots is likely to rise, hastening industry expansion and revolutionizing modern agriculture.

However, Automation technologies are the fastest-growing segment of the crop harvesting robots market, thanks to their transformative impact on agricultural efficiency and output. These technologies improve harvesting processes by using advanced robotics, sensors, and AI to undertake previously labor-intensive activities. Automation allows for precise and consistent harvesting, decreases the need for manual labor, and may run around the clock, boosting overall production while lowering operational expenses. As farms strive to satisfy rising food demand and address labor shortages, the use of automation technology in harvesting robots is increasing, making them a crucial driver of industry growth and innovation in modern agriculture.

Country/Region-wise

Will Technological Advancements in North America Drive the Crop Harvesting Robots Market?

The growing technological advances in North America are expected to drive substantial growth in the crop harvesting robots market. The region is a leader in agricultural technology innovation, with significant expenditures in R&D supporting the development of cutting-edge robotics solutions. Companies in North America are at the forefront of incorporating AI, machine learning, and advanced sensors into harvesting robots to improve productivity and precision. This emphasis on technological excellence is consistent with the region's concentration on improving agricultural methods and addressing manpower shortages, making crop harvesting robots an essential component of modern farming operations.

Furthermore, North America's favorable regulatory framework and funding opportunities strengthen the agriculture harvesting robot market. Governments and agricultural institutions are encouraging automation and smart farming technology to boost production and sustainability. The combination of a technologically advanced agricultural sector, strong financial support, and an innovative culture makes an ideal environment for crop harvesting robot growth. As North American farms embrace and integrate these modern technologies, the market for crop harvesting robots is likely to grow, owing to both technological improvements and the need for effective agricultural solutions.

Will Rapid Growing Agricultural Sector in Asia-Pacific Propel the Crop Harvesting Robots Market?

The constantly developing agricultural industry in Asia-Pacific is expected to considerably drive the crop harvesting robots market. This region, with its enormous agricultural territory and growing demand for efficient farming practices, offers a significant opportunity for the implementation of innovative harvesting systems. As countries such as China, India, and Japan work to raise agricultural output to fulfill both local and export demands, the use of robotics can address labor shortages, improve harvest efficiency, and increase overall crop yield. The necessity for modern solutions to deal with labor-intensive farming chores, as well as the desire for technological breakthroughs, are anticipated to accelerate the adoption of crop harvesting robots in this region.

Furthermore, government initiatives and expenditures in agricultural modernization are projected to help boost the crop harvesting robots market. Many Asia-Pacific countries are investing in smart farming technologies as part of larger agricultural development goals, such as using robotics to optimize farming operations. These efforts, combined with increased labor costs and a desire for more sustainable farming techniques, offer a good climate for harvesting robot deployment. As the business grows and evolves, the incorporation of such advanced technology will become increasingly important, driving additional market growth and innovation in the agricultural harvesting robots sector.

Competitive Landscape

The crop harvesting robots market is highly competitive, driven by both established leaders and innovative newcomers. Major players like FFRobotics and Harvest CROO Robotics dominate with specialized solutions for apples and strawberries, utilizing advanced AI and robotics. Emerging companies such as Octinion and Agrobot focus on niche markets like strawberries and lettuce, bringing new technologies to enhance fruit quality and harvesting efficiency. Companies like Ripe Robotics and Tend are pushing the envelope with versatile robots that leverage AI to handle diverse crops, while larger agricultural firms like Nutrien Ag Solutions are forming strategic partnerships to integrate cutting-edge robotic technologies into their operations.

Some of the prominent players operating in the crop harvesting robots market include:

Deere & Company

Cnh Industrial

Agco Corporation

Lely

Yamaha Motor Corporation

Abundant Robotics, Grownetics Inc.

Auroras S.r.l.

Gamaya

Yanmar Holdings Co. Ltd.

Latest Developments

In August 2024, Octinion presented its latest strawberry-picking robot, which is equipped with powerful AI and better sensors. This version improves fruit recognition while minimizing damage, providing enhanced efficiency and quality control in strawberry picking.

In July 2024, FFRobotics released a new version of its apple-harvesting robot with improved picking mechanisms and AI-powered navigation. The update aims to improve precision, cut labor expenses, and make the robot more adaptable to diverse apple kinds.

In June 2024, Agrobot has released an improved lettuce harvesting robot with advanced vision systems and machine learning capabilities. This new model provides faster harvesting speeds and increased accuracy, meeting the growing demand for efficient vegetable production.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Crop Harvesting Robots Market, By Type of Crop

• Grains
• Fruits
• Vegetables
• Specialty Crops

5. Crop Harvesting Robots Market, By Functionality

• Autonomous Harvesting Robots
• Semi-autonomous or Collaborative Harvesting Robots
• Specific Task-Focused Robots

6. Crop Harvesting Robots Market, By Technology

• GPS and Navigation Systems
• Computer Vision and Sensing Technologies
• Robotics and Automation Technologies
• Artificial Intelligence and Machine Learning Algorithms

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• Deere & Company
• Cnh Industrial
• Agco Corporation
• Lely
• Yamaha Motor Corporation
• Abundant Robotics
• Grownetics, Inc.
• Auroras S.r.l.
• Gamaya
• Yanmar Holdings Co. Ltd

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References