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市場調查報告書

商品編碼

2104733

全球農業機器人市場：按產品、服務、農業類型、應用、最終用戶和地區分類－市場規模、產業動態、機會分析和預測（2026-2035 年）

Global Agricultural Robotics Market By Product, Offering, Farming Type, Application, End User, Region - Market Size, Industry Dynamics, Opportunity Analysis and Forecast For 2026-2035

出版日期: 2026年07月29日 | 出版商:

Astute Analytica | 英文 260 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

隨著農業部門日益重視自動化以提高生產力、營運效率和永續性，全球農業機器人市場正經歷強勁成長。預計到2025年，該市場規模將達到120億美元，到2035年將達到約550億美元。在2026年至2035年的預測期內，該市場預計將保持16.4%的複合年成長率。這一顯著成長反映了已開發經濟體和新興農業經濟體對自主農業技術的加速應用。在這些地區，生產者正在尋求創新解決方案，以應對勞動力短缺、生產成本上升以及對更高農業產量日益成長的需求。

推動該市場成長的主要因素之一是全球農業勞動力持續短缺。快速的都市化、農村勞動力老化以及年輕一代對農業興趣的下降，使得農業勞動力供應極其緊張，尤其是在播種、除草、收割、修剪和作物監測等勞動密集型工作方面。同時，人事費用上升、勞動法規日益嚴格、季節性勞動力競爭加劇，也顯著增加了農業企業的營運成本。

顯著的市場趨勢

農業機器人市場由一群全球知名企業主導，這些企業憑藉著持續的技術創新、策略性投資、豐富的產品系列和全面的精密農業解決方案，建立了強大的競爭優勢。迪爾公司（Deere & Company）仍然是農業機器人市場最具影響力的企業之一，並被公認為自主耕作技術的先驅。

大疆創新已成為全球農業無人機技術的領導者，其高度先進的無人機正在變革現代農業。利樂則專注於畜牧業和酪農的自動化解決方案，在農業機器人市場佔主導地位。

CNH Industrial 透過在精密農業和自主耕作技術的持續創新，不斷鞏固其在農業機器人市場的地位。 Trimbull 在農業機器人生態系統中扮演著基礎性角色，提供先進的定位、導航和連接技術，使自主農業機械能夠以極高的精度運作。

主要成長要素

隨著全球農業企業越來越難以獲得可靠且技術熟練的勞動力，嚴重的農村勞動力短缺正成為農業機器人市場成長的主要驅動力。快速的都市化、人口結構變化、農業勞動力老化以及年輕勞動力向工業和服務業的遷移，都顯著減少了許多國家的農業勞動力供應。在播種、收割、修剪和作物管理等關鍵農業時期，季節性勞動力短缺尤其嚴峻，因為及時開展田間作業對於最大限度地提高產量和減少作物損失至關重要。這些勞動力限制促使農業生產者尋求能夠更穩定、更有效率地執行重複性勞動密集任務的自動化解決方案。

新機會的趨勢

機器人即服務 (RaaS) 正成為推動農業機器人市場成長的關鍵趨勢，它使先進的自動化技術更容易被農民獲取，也更經濟實惠。農民不再需要一次性購買昂貴的機器人設備，因為設備製造商和技術供應商擴大提供基於訂閱或計量收費的服務模式。這種模式使農民能夠透過支付定期營運費用來使用自主農業機械、無人機、機器人收割機、精準噴灑器和監控系統，而無需進行大量的前期投資。這種經營模式降低了採用先進農業技術的經濟門檻，同時確保各種規模的農場都能從機器人自動化中受益。

最佳化障礙

高昂的初始投資預計將阻礙農業機器人市場的成長，尤其對於資金有限的中小型農業企業而言更是如此。實施農業機器人技術需要對自主耕作機械、無人機、機器人收割機、精準噴灑器、自動駕駛曳引機、感測器設備、導航系統以及配套的數位基礎設施進行大量前期投資。除了設備購置成本外，農民還必須為安裝、系統整合、軟體配置、員工培訓、日常維護，甚至是高速通訊線路、充電站和資料管理平台等基礎設施升級預留資金。這些成本加起來顯著增加了總擁有成本，使得轉型為機器人農業成為一項沉重的經濟負擔。

產業價值鏈分析
產業展望
- 全球農業機器人產業概覽
- 邊緣人工智慧和電腦視覺、單一植物層級的精確管理以及多個機器人的現場協調。
- 人手不足導致的經濟因素、機器人即服務 (RaaS) 模式以及永續性。
PESTLE分析
波特五力分析
市場成長及前景
- 2020-2035年市場收入估算與預測
- 價格趨勢分析：依產品分類

第4章：全球農業機器人市場分析

競爭對手儀表板
- 市場集中度
- 企業市場占有率分析，2025 年
- 競爭對手分析與基準測試

第5章：全球農業機器人市場分析

市場動態和趨勢
- 成長要素
- 抑制因子
- 機會
- 主要趨勢
市場規模及預測，2020-2035年
- 依產品
  - 關鍵見解
    - 自動曳引機
    - 收割機器人
    - 除草噴灑機器人
    - 農業無人機
    - 擠乳和牲畜機器人
- 報價
  - 關鍵見解
    - 硬體
    - 軟體/自動駕駛
    - 服務
- 按農業類型分類
  - 關鍵見解
    - 大田作物/行栽作物
    - 果園和葡萄園
    - 酪農及畜牧業
    - 室內/受控環境
- 用途別
  - 關鍵見解
    - 種植和播種
    - 作物監測
    - 除草
    - 收成
    - 噴灑
- 最終用戶
  - 關鍵見解
    - 大型農場和農產品
    - 合作社
    - 合約農業
- 按地區
  - 關鍵見解
    - 北美洲
      - 美國
      - 加拿大
      - 墨西哥
    - 歐洲
      - 西歐
        
        英國
        德國
        法國
        義大利
        西班牙
        其他西歐國家
      - 東歐
        
        波蘭
        俄羅斯
        其他東歐國家
    - 亞太地區
      - 中國
      - 印度
      - 日本
      - 澳洲和紐西蘭
      - 韓國
      - ASEAN
      - 其他亞太國家
    - 中東和非洲（MEA）
      - 沙烏地阿拉伯
      - 南非
      - UAE
      - 其他中東和非洲國家
    - 南美洲
      - 阿根廷
      - 巴西
      - 其他南美國家

第6章：北美市場分析

第7章：歐洲市場分析

第8章：亞太市場分析

第9章：中東和非洲市場分析

第10章：南美市場分析

第11章：公司簡介

Harvest Automation, Inc.
CNH Industrial NV
AGCO Corporation
BouMatic
Autonomous Solutions, Inc
CLAAS KGaA mbH
GEA Group Aktiengesellschaft
Agrobot
Trimble, Inc.
DeLaval
Lely
Other Prominent Players

第12章附錄

簡介目錄

Product Code: AA07261909

The global agricultural robotics market is experiencing robust growth as the farming industry increasingly embraces automation to improve productivity, operational efficiency, and sustainability. The market is estimated to be valued at USD 12 billion in 2025 and is projected to reach approximately USD 55 billion by 2035, registering a strong compound annual growth rate (CAGR) of 16.4% during the forecast period from 2026 to 2035. This substantial expansion reflects the accelerating adoption of autonomous farming technologies across both developed and emerging agricultural economies, where producers are seeking innovative solutions to address labor shortages, rising production costs, and the growing demand for higher agricultural output.

One of the primary factors driving this market growth is the persistent shortage of agricultural labor worldwide. Rapid urbanization, an aging rural workforce, and declining interest among younger generations in agricultural employment have significantly reduced the availability of farm labor, particularly during labor-intensive activities such as planting, weeding, harvesting, pruning, and crop monitoring. At the same time, rising manual wage rates, stricter labor regulations, and increasing competition for seasonal workers have substantially increased operational expenses for farming enterprises.

Noteworthy Market Developments

The agricultural robotics market is led by a group of globally recognized companies that have established strong competitive positions through continuous technological innovation, strategic investments, extensive product portfolios, and comprehensive precision agriculture solutions. Deere & Company remains one of the most influential players in the agricultural robotics market and is widely recognized as a pioneer in autonomous farming technologies.

DJI has established itself as the global leader in agricultural drone technology, significantly transforming modern farming through its highly advanced unmanned aerial vehicles (UAVs). Lely has built a dominant position in the agricultural robotics market by specializing in automation solutions for the livestock and dairy sectors.

CNH Industrial has strengthened its position in the agricultural robotics market through continuous innovation in precision agriculture and autonomous farming technologies. Trimble plays a foundational role in the agricultural robotics ecosystem by providing the advanced positioning, navigation, and connectivity technologies that enable autonomous farming equipment to operate with exceptional precision.

Core Growth Driver

Acute rural labor shortages have emerged as one of the primary factors driving the growth of the agricultural robotics market, as farming operations across the globe face increasing difficulties in securing a reliable and skilled workforce. Rapid urbanization, demographic shifts, aging farming populations, and the migration of younger workers toward industrial and service-sector employment have significantly reduced the availability of agricultural labor in many countries. Seasonal labor shortages have become particularly challenging during critical farming periods such as planting, harvesting, pruning, and crop maintenance, when timely execution of field operations is essential for maximizing productivity and minimizing crop losses. These workforce constraints have prompted agricultural producers to seek automated solutions capable of performing repetitive and labor-intensive tasks with greater consistency and efficiency.

Emerging Opportunity Trends

Robotics-as-a-Service (RaaS) is emerging as a significant trend driving the growth of the agricultural robotics market by making advanced automation technologies more accessible and financially viable for farmers. Instead of requiring agricultural producers to purchase expensive robotic equipment outright, equipment manufacturers and technology providers are increasingly offering subscription-based or pay-per-use service models. Under this approach, farmers gain access to autonomous machinery, drones, robotic harvesters, precision sprayers, and monitoring systems through recurring operational payments rather than making substantial upfront capital investments. This business model lowers the financial barriers associated with adopting advanced agricultural technologies while enabling farms of varying sizes to benefit from robotic automation.

Barriers to Optimization

High initial capital expenditure is expected to hamper the growth of the agricultural robotics market, particularly among small- and medium-sized farming enterprises with limited financial resources. The adoption of agricultural robots involves substantial upfront investments in autonomous machinery, drones, robotic harvesters, precision sprayers, automated tractors, sensing equipment, navigation systems, and supporting digital infrastructure. In addition to the purchase price of the equipment, farmers must also allocate funds for installation, system integration, software configuration, employee training, regular maintenance, and infrastructure upgrades such as high-speed connectivity, charging stations, and data management platforms. These combined expenses significantly increase the total cost of ownership, making the transition to robotic farming a major financial commitment.

Detailed Market Segmentation

By offering, the hardware segment accounted for the largest share of the agricultural robotics market in 2025, primarily due to the essential role of physical robotic components in enabling automated farming operations. Agricultural robots rely on sophisticated hardware systems to perform a wide range of precision tasks, including crop monitoring, planting, harvesting, spraying, weeding, and livestock management. These systems integrate advanced technologies such as LiDAR sensors, multispectral and hyperspectral cameras, robotic arms, GPS and GNSS positioning modules, ultrasonic sensors, machine vision systems, actuators, and autonomous navigation units.

By application, crop monitoring dominated the agricultural robotics market in 2025, driven by the increasing adoption of advanced monitoring technologies such as unmanned aerial vehicles (UAVs), autonomous drones, and ground-based scouting robots. Farmers are increasingly deploying these robotic systems to conduct continuous and large-scale field surveillance, enabling them to monitor crop health with greater speed, accuracy, and efficiency than traditional manual inspection methods. Equipped with advanced sensors, GPS navigation, high-resolution cameras, and artificial intelligence-powered analytics, these robotic platforms can collect extensive field data across vast agricultural landscapes while significantly reducing labor requirements and operational costs.

By Farming Type, field and row-crop farming dominated the agricultural robotics market. This dominance is due to the extensive land area dedicated to cultivating staple crops such as corn, wheat, soybeans, rice, barley, and other cereal grains. These crops are typically grown across thousands of acres, requiring highly efficient and scalable farming operations to maintain productivity and profitability. The sheer size of field crop farms has significantly accelerated the adoption of agricultural robotics, as conventional farming methods often struggle to meet the demands of large-scale cultivation while addressing rising labor costs and increasing operational complexity.

By End User, large farms and agribusinesses emerged as the dominant end-user segment in the agricultural robotics market, primarily due to their strong financial capabilities and ability to invest in advanced automation technologies. These large-scale agricultural enterprises possess substantial capital resources that enable them to absorb the significant upfront costs associated with autonomous tractors, robotic harvesters, precision spraying systems, autonomous drones, and AI-powered farm management platforms. Large agribusinesses are better positioned to justify these investments because they can spread capital expenditures across extensive cultivation areas while achieving long-term cost savings through reduced labor dependency, improved resource efficiency, and higher operational productivity.

Segment Breakdown

By Product

Autonomous Tractors
Harvesting Robots
Weeding & Spraying Robots
Agricultural Drones
Milking & Livestock Robots

By Offering

Hardware
Software/Autonomy
Services

By Farming Type

Field/Row Crops
Orchards & Vineyards
Dairy & Livestock
Indoor/Controlled Environment

By Application

Planting & Seeding
Crop Monitoring
Weeding
Harvesting, Spraying

By End User

Large Farms & Agribusiness
Cooperatives
Contract Farming

By Region

North America
The U.S.
Canada
Mexico
Europe
Western Europe
The UK
Germany
France
Italy
Spain
Rest of Western Europe
Eastern Europe
Poland
Russia
Rest of Eastern Europe
Asia Pacific
China
India
Japan
Australia & New Zealand
South Korea
ASEAN
Rest of Asia Pacific
Middle East & Africa (MEA)
Saudi Arabia
South Africa
UAE
Rest of MEA
South America
Argentina
Brazil
Rest of South America

Geography Breakdown

North America maintained a dominant position in the agricultural robotics market in 2026, supported by its extensive broadacre farming landscape, high levels of agricultural mechanization, and persistent labor shortages across rural regions. The region's large-scale commercial farming operations have increasingly turned to advanced robotic and AI-powered technologies to improve productivity, reduce dependence on seasonal labor, and address escalating operational costs.
The United States remained the undisputed leader within the North American market, accounting for more than 75% of the region's total revenue. This leadership is primarily attributed to the country's expansive commercial farms, particularly across the Midwest, where producers have rapidly integrated autonomous tractors, AI-enabled precision spraying systems, robotic planting equipment, and advanced field monitoring technologies into daily farming operations.
Canada further strengthened North America's market leadership by contributing an estimated USD 1,200 million in revenue during 2026. The country's agricultural robotics adoption has been particularly prominent across the Prairie provinces, where vast wheat and canola farms have increasingly invested in autonomous harvesting systems, robotic field equipment, and AI-powered crop management solutions.
Leading Market Participants
Harvest Automation, Inc.
CNH Industrial N.V.
AGCO Corporation
BouMatic
Autonomous Solutions, Inc
CLAAS KGaA mbH
GEA Group Aktiengesellschaft
Agrobot
Trimble, Inc.
Harvest Automation, Inc.
DeLaval
Lely
Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Global Agricultural Robotics Market

Chapter 2. Research Methodology & Research Framework

2.1. Research Objective
2.2. Product Overview
2.3. Market Segmentation
2.4. Qualitative Research
- 2.4.1. Primary & Secondary Sources
2.5. Quantitative Research
- 2.5.1. Primary & Secondary Sources
2.6. Breakdown of Primary Research Respondents, By Region
2.7. Assumption for Study
2.8. Market Size Estimation
2.9. Data Triangulation

Chapter 3. Global Agricultural Robotics Market Overview

3.1. Industry Value Chain Analysis
- 3.1.1. Sensor (LiDAR, Multispectral), GPS, Actuator & Component Suppliers
- 3.1.2. Ag-Robot Platform (Tractors, Harvesters, Drones) Manufacturers
- 3.1.3. Autonomy Software, Computer Vision & Edge-AI Developers
- 3.1.4. Systems Integration, Robotics-as-a-Service & Support Partners
- 3.1.5. End Users (Large Farms & Agribusiness, Cooperatives, Contract Farming)
3.2. Industry Outlook
- 3.2.1. Overview of the Global Agricultural Robotics Industry
- 3.2.2. Edge-AI Computer Vision, Per-Plant Precision & Multi-Robot Field Orchestration
- 3.2.3. Labor-Shortage Economics, Robotics-as-a-Service (RaaS) Models & Sustainability Gains
3.3. PESTLE Analysis
3.4. Porter's Five Forces Analysis
- 3.4.1. Bargaining Power of Suppliers
- 3.4.2. Bargaining Power of Buyers
- 3.4.3. Threat of Substitutes
- 3.4.4. Threat of New Entrants
- 3.4.5. Degree of Competition
3.5. Market Growth and Outlook
- 3.5.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2035
- 3.5.2. Price Trend Analysis, By Product

Chapter 4. Global Agricultural Robotics Market Analysis

4.1. Competition Dashboard
- 4.1.1. Market Concentration Rate
- 4.1.2. Company Market Share Analysis (Value %), 2025
- 4.1.3. Competitor Mapping & Benchmarking

Chapter 5. Global Agricultural Robotics Market Analysis

5.1. Market Dynamics and Trends
- 5.1.1. Growth Drivers
- 5.1.2. Restraints
- 5.1.3. Opportunity
- 5.1.4. Key Trends
5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
- 5.2.1. By Product
  - 5.2.1.1. Key Insights
    - 5.2.1.1.1. Autonomous Tractors
    - 5.2.1.1.2. Harvesting Robots
    - 5.2.1.1.3. Weeding & Spraying Robots
    - 5.2.1.1.4. Agricultural Drones
    - 5.2.1.1.5. Milking & Livestock Robots
- 5.2.2. By Offering
  - 5.2.2.1. Key Insights
    - 5.2.2.1.1. Hardware
    - 5.2.2.1.2. Software/Autonomy
    - 5.2.2.1.3. Services
- 5.2.3. By Farming Type
  - 5.2.3.1. Key Insights
    - 5.2.3.1.1. Field/Row Crops
    - 5.2.3.1.2. Orchards & Vineyards
    - 5.2.3.1.3. Dairy & Livestock
    - 5.2.3.1.4. Indoor/Controlled Environment
- 5.2.4. By Application
  - 5.2.4.1. Key Insights
    - 5.2.4.1.1. Planting & Seeding
    - 5.2.4.1.2. Crop Monitoring
    - 5.2.4.1.3. Weeding
    - 5.2.4.1.4. Harvesting
    - 5.2.4.1.5. Spraying
- 5.2.5. By End User
  - 5.2.5.1. Key Insights
    - 5.2.5.1.1. Large Farms & Agribusiness
    - 5.2.5.1.2. Cooperatives
    - 5.2.5.1.3. Contract Farming
- 5.2.6. By Region
  - 5.2.6.1. Key Insights
    - 5.2.6.1.1. North America
      - 5.2.6.1.1.1. The U.S.
      - 5.2.6.1.1.2. Canada
      - 5.2.6.1.1.3. Mexico
    - 5.2.6.1.2. Europe
      - 5.2.6.1.2.1. Western Europe
        
        5.2.6.1.2.1.1. The UK
        5.2.6.1.2.1.2. Germany
        5.2.6.1.2.1.3. France
        5.2.6.1.2.1.4. Italy
        5.2.6.1.2.1.5. Spain
        5.2.6.1.2.1.6. Rest of Western Europe
      - 5.2.6.1.2.2. Eastern Europe
        
        5.2.6.1.2.2.1. Poland
        5.2.6.1.2.2.2. Russia
        5.2.6.1.2.2.3. Rest of Eastern Europe
    - 5.2.6.1.3. Asia Pacific
      - 5.2.6.1.3.1. China
      - 5.2.6.1.3.2. India
      - 5.2.6.1.3.3. Japan
      - 5.2.6.1.3.4. Australia & New Zealand
      - 5.2.6.1.3.5. South Korea
      - 5.2.6.1.3.6. ASEAN
      - 5.2.6.1.3.7. Rest of Asia Pacific
    - 5.2.6.1.4. Middle East & Africa (MEA)
      - 5.2.6.1.4.1. Saudi Arabia
      - 5.2.6.1.4.2. South Africa
      - 5.2.6.1.4.3. UAE
      - 5.2.6.1.4.4. Rest of MEA
    - 5.2.6.1.5. South America
      - 5.2.6.1.5.1. Argentina
      - 5.2.6.1.5.2. Brazil
      - 5.2.6.1.5.3. Rest of South America

Chapter 6. North America Market Analysis

6.1. Market Dynamics and Trends
- 6.1.1. Growth Drivers
- 6.1.2. Restraints
- 6.1.3. Opportunity
- 6.1.4. Key Trends
6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
- 6.2.1. Key Insights
  - 6.2.1.1. By Product
  - 6.2.1.2. By Offering
  - 6.2.1.3. By Farming Type
  - 6.2.1.4. By Application
  - 6.2.1.5. By End User
  - 6.2.1.6. By Country

Chapter 7. Europe Market Analysis

7.1. Market Dynamics and Trends
- 7.1.1. Growth Drivers
- 7.1.2. Restraints
- 7.1.3. Opportunity
- 7.1.4. Key Trends
7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
- 7.2.1. Key Insights
  - 7.2.1.1. By Product
  - 7.2.1.2. By Offering
  - 7.2.1.3. By Farming Type
  - 7.2.1.4. By Application
  - 7.2.1.5. By End User
  - 7.2.1.6. By Country

Chapter 8. Asia Pacific Market Analysis

8.1. Market Dynamics and Trends
- 8.1.1. Growth Drivers
- 8.1.2. Restraints
- 8.1.3. Opportunity
- 8.1.4. Key Trends
8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
- 8.2.1. Key Insights
  - 8.2.1.1. By Product
  - 8.2.1.2. By Offering
  - 8.2.1.3. By Farming Type
  - 8.2.1.4. By Application
  - 8.2.1.5. By End User
  - 8.2.1.6. By Country

Chapter 9. Middle East & Africa Market Analysis

9.1. Market Dynamics and Trends
- 9.1.1. Growth Drivers
- 9.1.2. Restraints
- 9.1.3. Opportunity
- 9.1.4. Key Trends
9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
- 9.2.1. Key Insights
  - 9.2.1.1. By Product
  - 9.2.1.2. By Offering
  - 9.2.1.3. By Farming Type
  - 9.2.1.4. By Application
  - 9.2.1.5. By End User
  - 9.2.1.6. By Country

Chapter 10. South America Market Analysis

10.1. Market Dynamics and Trends
- 10.1.1. Growth Drivers
- 10.1.2. Restraints
- 10.1.3. Opportunity
- 10.1.4. Key Trends
10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
- 10.2.1. Key Insights
  - 10.2.1.1. By Product
  - 10.2.1.2. By Offering
  - 10.2.1.3. By Farming Type
  - 10.2.1.4. By Application
  - 10.2.1.5. By End User
  - 10.2.1.6. By Country