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市场调查报告书
商品编码
1712524

全球农业机器人市场 - 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个工作天内

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简介目录

2024 年全球农业机器人市场规模达到 157.8 亿美元，预计到 2032 年将达到 841.9 亿美元，在 2025-2032 年预测期内的复合年增长率为 23.28%。

农业机器人市场正在迅速扩张，其驱动力是利用自动化来弥补劳动力短缺、提高效率和支持精准农业。人工智慧和物联网的进步以及政府日益增强的支援正在加速自动化设备的采用。这种转变提高了生产力，降低了营运成本并促进了永续的农业实践。

农业机器人市场趋势

机器人技术与垂直农业的融合正在成为一种变革趋势，旨在提高营运效率并减少对劳动力的依赖。高昂的劳动成本和对作物品质稳定的需求促使垂直农场经营者投资于播种、收穫和监测的自动化系统。例如，Rooted Robotics 开发的自动播种机和收割装置等机器人解决方案使农场能够扩大营运规模，同时最大限度地减少作物损失并提高产量精度。

这些系统不仅减少了人工工作量，还提高了种植密度和收穫准确性的一致性，这对于空间受限的垂直农场的获利能力至关重要。在这种受控环境中部署人工智慧机器人可以优化资源利用率并确保更快、更清洁的流程。随着垂直农业规模不断扩大，采用经济实惠的模组化机器人解决方案将成为提高投资报酬率和实现长期商业可行性的关键。

动力学

劳动力短缺和劳动成本上升

普遍的劳动力短缺和不断上升的工资压力正在加速机器人技术在农业领域的应用。农民越来越多地采用自动化来管理种植、收割和除草等劳动密集任务。机器人技术可确保及时操作，减少对劳动力的依赖并提高整体农场效率。这一趋势对于解决生产力挑战和减少作物损失至关重要。它还支持传统和高科技农业系统的可扩展性。

例如，2025 年 1 月，约翰迪尔推出了全自动拖拉机，旨在解决劳动力短缺问题。此拖拉机采用GPS、AI和视觉系统，可独立高精度作业。它使农民能够将有限的劳动力重新分配到更具策略性的角色。这项创新凸显了该产业向自主解决方案的转变。预计此类技术将显着提高全球农业经营的效率。

高资本投资和所有权成本

高昂的资本投资和所有权成本是农业采用机器人技术的重大障碍。先进的系统需要在设备、安装和软体整合方面投入大量的前期资金。这对预算有限的中小型农场造成了阻碍。较长的投资回收期进一步使投资决策变得复杂。因此，不同地区的市场采用情况仍不均衡。

例如，Rooted Robotics 透过为垂直农场提供经济实惠的自动化来解决这个问题。他们最近在丹佛的一个农场实施的低成本播种机展示了具有成本效益的创新。此解决方案无需大量资本支出即可减少劳动力需求。这种可扩展的模型在市场上越来越受欢迎。它们能够实现更广泛的采用，同时最大限度地降低财务风险。

目录

第一章：方法论和范围

第 2 章：定义与概述

第三章：执行摘要

第四章：动态

  • 影响因素
    • 驱动程式
      • 劳动力短缺和劳动成本上升
    • 限制
      • 高资本投资和所有权成本
    • 机会
    • 影响分析

第五章：产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监理与合规分析
  • 可持续性分析
  • DMI 意见

第六章：依机器人类型

  • 无人驾驶拖拉机
  • 无人驾驶飞行器（UAV）
  • 挤乳机器人
  • 收割机器人
  • 除草机器人
  • 播种机器人
  • 灌溉机器人
  • 其他的

第七章：按应用

  • 田间耕作
  • 乳品管理
  • 土壤管理
  • 收穫管理
  • 灌溉和水管理
  • 作物监测
  • 其他的

第八章：奉献

  • 硬体
    • 机械手臂
    • 感测器（LiDAR、GPS、多光谱）
    • 相机和成像系统
    • 马达、车轮和执行器
  • 软体
    • 基于人工智慧的作物管理
    • 机器人流程自动化（RPA）
    • 预测分析
    • 电脑视觉系统
  • 服务
    • 安装和调试
    • 培训和咨询
    • 维护和维修
    • 数据驱动的农场咨询服务

第九章：按农场规模

  • 小型农场（<10 公顷）*
  • 中型农场（10-100公顷）
  • 大型农场（>100公顷）

第 10 章：按最终用户

  • 农民
  • 农业合作社
  • 研究机构
  • 政府机构
  • 农业科技公司

第 11 章：按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第十二章：公司简介

  • Deere & Company
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 关键进展
  • AGCO Corporation
  • Trimble Inc.
  • Ecorobotix
  • Harvest Automation
  • Naio Technologies
  • CNH Industrial NV
  • Agrobot
  • Harvest CROO Robotics LLC.
  • KUBOTA Corporation

第 13 章：附录

简介目录
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