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市場調查報告書
商品編碼
1712524

全球農業機器人市場 - 2025-2032

Global Robotics in Agriculture Market - 2025-2032
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球農業機器人市場規模達到 157.8 億美元，預計到 2032 年將達到 841.9 億美元，在 2025-2032 年預測期內的複合年成長率為 23.28%。

農業機器人市場正在迅速擴張，其驅動力是利用自動化來彌補勞動力短缺、提高效率和支持精準農業。人工智慧和物聯網的進步以及政府日益增強的支援正在加速自動化設備的採用。這種轉變提高了生產力，降低了營運成本並促進了永續的農業實踐。

農業機器人市場趨勢

機器人技術與垂直農業的融合正在成為一種變革趨勢，旨在提高營運效率並減少對勞動力的依賴。高昂的勞動成本和對作物品質穩定的需求促使垂直農場經營者投資於播種、收穫和監測的自動化系統。例如，Rooted Robotics 開發的自動播種機和收割裝置等機器人解決方案使農場能夠擴大營運規模，同時最大限度地減少作物損失並提高產量精度。

這些系統不僅減少了人工工作量，還提高了種植密度和收穫準確性的一致性，這對於空間受限的垂直農場的獲利能力至關重要。在這種受控環境中部署人工智慧機器人可以最佳化資源利用率並確保更快、更清潔的流程。隨著垂直農業規模不斷擴大，採用經濟實惠的模組化機器人解決方案將成為提高投資報酬率和實現長期商業可行性的關鍵。

動力學

勞動力短缺和勞動成本上升

普遍的勞動力短缺和不斷上升的工資壓力正在加速機器人技術在農業領域的應用。農民擴大採用自動化來管理種植、收割和除草等勞動密集任務。機器人技術可確保及時操作，減少對勞動力的依賴並提高整體農場效率。這一趨勢對於解決生產力挑戰和減少作物損失至關重要。它還支持傳統和高科技農業系統的可擴展性。

例如，2025 年 1 月，約翰迪爾推出了全自動曳引機，旨在解決勞動力短缺問題。此曳引機採用GPS、AI和視覺系統，可獨立高精度作業。它使農民能夠將有限的勞動力重新分配到更具策略性的角色。這項創新凸顯了該產業向自主解決方案的轉變。預計此類技術將顯著提高全球農業經營的效率。

高資本投資和所有權成本

高昂的資本投資和所有權成本是農業採用機器人技術的重大障礙。先進的系統需要在設備、安裝和軟體整合方面投入大量的前期資金。這對預算有限的中小型農場造成了阻礙。較長的投資回收期進一步使投資決策變得複雜。因此，不同地區的市場採用情況仍不均衡。

例如，Rooted Robotics 透過為垂直農場提供經濟實惠的自動化來解決這個問題。他們最近在丹佛的一個農場實施的低成本播種機展示了具有成本效益的創新。此解決方案無需大量資本支出即可減少勞動力需求。這種可擴展的模型在市場上越來越受歡迎。它們能夠實現更廣泛的採用，同時最大限度地降低財務風險。

目錄

第1章：方法論和範圍

第 2 章：定義與概述

第3章：執行摘要

第4章：動態

  • 影響因素
    • 驅動程式
      • 勞動力短缺和勞動成本上升
    • 限制
      • 高資本投資和所有權成本
    • 機會
    • 影響分析

第5章：產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監理與合規分析
  • 永續性分析
  • DMI 意見

第6章：依機器人類型

  • 無人駕駛曳引機
  • 無人駕駛飛行器（UAV）
  • 擠乳機器人
  • 收割機器人
  • 除草機器人
  • 播種機器人
  • 灌溉機器人
  • 其他

第7章：按應用

  • 田間耕作
  • 乳品管理
  • 土壤管理
  • 收穫管理
  • 灌溉和水管理
  • 作物監測
  • 其他

第8章：奉獻

  • 硬體
    • 機械手臂
    • 感測器（LiDAR、GPS、多光譜）
    • 相機和成像系統
    • 馬達、車輪和執行器
  • 軟體
    • 基於人工智慧的作物管理
    • 機器人流程自動化（RPA）
    • 預測分析
    • 電腦視覺系統
  • 服務
    • 安裝和調試
    • 培訓和諮詢
    • 維護和維修
    • 數據驅動的農場諮詢服務

第9章：按農場規模

  • 小型農場（<10 公頃）*
  • 中型農場（10-100公頃）
  • 大型農場（>100公頃）

第 10 章：按最終用戶

  • 農民
  • 農業合作社
  • 研究機構
  • 政府機構
  • 農業科技公司

第 11 章：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第12章：公司簡介

  • Deere & Company
    • 公司概況
    • 產品組合和描述
    • 財務概覽
    • 關鍵進展
  • AGCO Corporation
  • Trimble Inc.
  • Ecorobotix
  • Harvest Automation
  • Naio Technologies
  • CNH Industrial NV
  • Agrobot
  • Harvest CROO Robotics LLC.
  • KUBOTA Corporation

第 13 章：附錄

簡介目錄
Product Code: AG9486

The Global robotics in agriculture market reached US$ 15.78 billion in 2024 and is expected to reach US$ 84.19 billion by 2032, growing at a CAGR of 23.28% during the forecast period 2025-2032.

The robotics in agriculture market is expanding rapidly, driven by the need for automation to offset labor shortages, improve efficiency and support precision farming. Advances in AI and IoT, along with growing government support, are accelerating the adoption of autonomous equipment. This shift is enhancing productivity, reducing operational costs and promoting sustainable farming practices.

Robotics in Agriculture Market Trend

The integration of robotics in vertical farming is emerging as a transformative trend aimed at improving operational efficiency and reducing labor dependency. High labor costs and the need for consistent crop quality have prompted vertical farm operators to invest in automated systems for seeding, harvesting and monitoring. For example, Robotics solutions, such as automated seed casters and harvesting units developed by Rooted Robotics, are enabling farms to scale operations while minimizing crop loss and increasing yield precision.

These systems not only reduce manual workload but also enhance consistency in planting density and harvesting accuracy, which are critical for profitability in space-constrained vertical farms. The deployment of AI-powered robots in such controlled environments is optimizing resource utilization and ensuring faster, cleaner processes. As vertical farming continues to scale, the adoption of affordable and modular robotic solutions will be key to improving return on investment and enabling long-term commercial viability.

Dynamics

Labor Shortages and Rising Labor Costs

Widespread labor shortages and rising wage pressures are accelerating the adoption of robotics in agriculture. Farmers are increasingly turning to automation to manage labor-intensive tasks such as planting, harvesting and weeding. Robotics ensures timely operations, reduces labor dependency and improves overall farm efficiency. This trend is critical in addressing productivity challenges and minimizing crop losses. It also supports scalability in both traditional and high-tech farming systems.

For instance, in January 2025, John Deere launched its fully autonomous tractor, designed to tackle workforce shortages. The tractor uses GPS, AI and vision systems to operate independently with high precision. It allows farmers to reallocate limited labor to more strategic roles. This innovation highlights the industry's pivot toward autonomous solutions. Such technologies are expected to drive significant efficiency gains across global farming operations.

High Capital Investment and Ownership Costs

High capital investment and ownership costs are a significant barrier to adopting robotics in agriculture. Advanced systems require large upfront spending on equipment, installation and software integration. This deters small and mid-sized farms with limited budgets. The long payback period further complicates investment decisions. As a result, market adoption remains uneven across regions.

For example, Rooted Robotics is addressing this issue by offering affordable automation for vertical farms. Their low-cost seed caster, recently implemented at a farm in Denver, demonstrates cost-effective innovation. The solution reduces labor needs without heavy capital outlay. Such scalable models are gaining traction in the market. They enable broader adoption while minimizing financial risk.

Segment Analysis

The global robotics in agriculture market is segmented based on robot type, application, offering, farm size, end-user and region.

Rising Demand Drives Adoption of Autonomous Tractors in Modern Farming

Autonomous tractors have emerged as the dominant robot type in the agriculture robotics market, driven by their multi-functional capabilities and ability to reduce reliance on manual labor. These tractors are increasingly adopted in precision farming, where accuracy, consistency and efficiency are critical. With satellite guidance, remote operation via smartphones and AI integration, they enable round-the-clock fieldwork with minimal human intervention-ideal for tackling labor shortages and boosting productivity.

For instance, Carbon Robotics launched the AutoTractor, a retrofitted autonomous farming system equipped with GPS, AI, radar sensors and LaserWeeder integration. Designed for 24/7 operations, it performs key ground preparation tasks without in-cab drivers. Its remote monitoring feature enables real-time operator intervention, addressing common adoption barriers such as operational disruptions.

Geographical Penetration

Accelerating AgTech Adoption: Rising Demand for Robotics in North American Agriculture

North America holds a significant share of the robotics in agriculture market, driven by labor shortages, rising wage costs and the need to enhance productivity and efficiency in farming operations. US and Canada are witnessing the rapid adoption of autonomous tractors, robotic harvesters, drones and precision farming technologies, particularly in large-scale commercial farms. Government support and investments in Agri-tech innovation are further accelerating the regional market growth.

For example, in September 2024, Niqo Robotics launched RoboThinner in North America to address growing labor challenges in lettuce farming. The AI-driven solution delivers 97% thinning accuracy and covers up to 7 acres per hour, boosting efficiency and yield quality. Designed for easy retrofit on existing tractors, it ensures seamless integration. With rapid ROI and strong adoption potential, it supports growers in key regions like Salinas and Yuma. This reflects North America's shift toward precision agriculture through robotics.

Sustainability Analysis

The integration of robotics in agriculture is significantly advancing sustainable farming practices by enhancing operational efficiency, resource optimization and environmental stewardship. Robotic systems reduce dependency on chemical inputs through precision application of water, fertilizers and pesticides, thereby minimizing environmental pollution and input waste.

AI-powered weeding robots and smart seeders help conserve soil health, reduce over-tillage and lower fuel consumption, supporting regenerative agriculture. Technologies such as robotic arms, autonomous tractors and vertical farming systems also contribute to higher yields with lower resource intensity, improving food security and profitability.

Competitive Landscape

The major global players in the market include Deere & Company, AGCO Corporation, Trimble Inc., Ecorobotix, Harvest Automation, Naio Technologies, CNH Industrial N.V., Agrobot, Harvest CROO Robotics LLC. and KUBOTA Corporation.

Key Developments

  • In March 2025, Carbon Robotics introduced Carbon AutoTractor, the first autonomous tractor solution with real-time remote supervision. Compatible with John Deere 6R and 8R tractors, it installs in under 24 hours and enables seamless switching between manual and autonomous modes. Integrated with the LaserWeeder, it improves operational efficiency by up to 20%, addressing labor challenges and enabling scalable, reliable farm automation.
  • In February 2025, Yamaha Motor launched Yamaha Agriculture, Inc. to deliver autonomous equipment and AI-powered crop management solutions for specialty crops. Through the acquisitions of Robotics Plus and The Yield, the company aims to enhance precision farming and operational efficiency in key markets, aligning with its 2030 vision for robotics-driven sustainable agriculture.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Robot Type
  • 3.2. Snippet by Application
  • 3.3. Snippet by Offering
  • 3.4. Snippet by Farm Size
  • 3.5. Snippet by End-User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Labor Shortages and Rising Labor Costs
    • 4.1.2. Restraints
      • 4.1.2.1. High Capital Investment and Ownership Costs
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory and Compliance Analysis
  • 5.5. Sustainability Analysis
  • 5.6. DMI Opinion

6. By Robot Type

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 6.1.2. Market Attractiveness Index, By Robot Type
  • 6.2. Driverless Tractors*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Unmanned Aerial Vehicles (UAVs)
  • 6.4. Milking Robots
  • 6.5. Harvesting Robots
  • 6.6. Weeding Robots
  • 6.7. Seeding Robots
  • 6.8. Irrigation Robots
  • 6.9. Others

7. By Application

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 7.1.2. Market Attractiveness Index, By Application
  • 7.2. Field Farming*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Dairy Management
  • 7.4. Soil Management
  • 7.5. Harvest Management
  • 7.6. Irrigation and Water Management
  • 7.7. Crop Monitoring
  • 7.8. Others

8. By Offering

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 8.1.2. Market Attractiveness Index, By Offering
  • 8.2. Hardware*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
    • 8.2.3. Robotic arms
    • 8.2.4. Sensors (LiDAR, GPS, multispectral)
    • 8.2.5. Cameras and imaging systems
    • 8.2.6. Motors, wheels and actuators
  • 8.3. Software
    • 8.3.1. AI-based crop management
    • 8.3.2. Robotic process automation (RPA)
    • 8.3.3. Predictive analytics
    • 8.3.4. Computer vision systems
  • 8.4. Services
    • 8.4.1. Installation and commissioning
    • 8.4.2. Training and consulting
    • 8.4.3. Maintenance and repair
    • 8.4.4. Data-driven farm advisory services

9. By Farm Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 9.1.2. Market Attractiveness Index, By Farm Size
  • 9.2. Small Farms (<10 hectares) *
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Medium Farms (10-100 hectares)
  • 9.4. Large Farms (>100 hectares)

10. By End-User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.1.2. Market Attractiveness Index, By End-User
  • 10.2. Farmers *
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Agricultural Cooperatives
  • 10.4. Research Institutions
  • 10.5. Government Bodies
  • 10.6. Agri-Tech Companies

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.8.1. US
      • 11.2.8.2. Canada
      • 11.2.8.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.8.1. Germany
      • 11.3.8.2. UK
      • 11.3.8.3. France
      • 11.3.8.4. Italy
      • 11.3.8.5. Spain
      • 11.3.8.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.8.1. Brazil
      • 11.4.8.2. Argentina
      • 11.4.8.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.8.1. China
      • 11.5.8.2. India
      • 11.5.8.3. Japan
      • 11.5.8.4. Australia
      • 11.5.8.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Farm Size
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Company Profiles

  • 12.1. Deere & Company*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. AGCO Corporation
  • 12.3. Trimble Inc.
  • 12.4. Ecorobotix
  • 12.5. Harvest Automation
  • 12.6. Naio Technologies
  • 12.7. CNH Industrial N.V.
  • 12.8. Agrobot
  • 12.9. Harvest CROO Robotics LLC.
  • 12.10. KUBOTA Corporation

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us