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市场调查报告书
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1916645

农业机器人与自动化市场预测至2032年：全球机器人类型、产品/服务、农场环境、农场规模、应用及区域分析

Agricultural Robotics & Automation Market Forecasts to 2032 - Global Analysis By Robot Type, Offering, Farming Environment, Farm Size, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球农业机器人和自动化市场规模将达到 165.9 亿美元，到 2032 年将达到 544.3 亿美元，在预测期内复合年增长率为 18.5%。

农业机器人和自动化是指利用智慧自动化设备和机器人系统，使其能够自主或在极少人工干预下完成农业作业。这些解决方案利用人工智慧、物联网感测器、电脑视觉和导航系统等技术，能够实现精准高效的田间作业，例如播种、作物监测、收割和动物饲养。农业自动化的应用有助于缓解劳动力短缺、降低投入成本、提高作业精度，并促进永续的、数据驱动的农业实践，同时提升整体农场生产力。

精密农业简介

为了优化资源利用，农民们正在加速采用无人机、自动驾驶拖拉机和人工智慧感测器等技术。这些创新能够实现更精准的播种、灌溉和施肥，从而减少废弃物并提高产量。全球粮食需求的成长和提高生产力的压力正在加速向数据驱动型农业的转型。物联网和机器学习的融合正在提升农场整体的决策水准和营运效率。各国政府和农业组织正积极推广智慧农业，以确保永续性和粮食安全。随着精密农业的普及，预计机器人技术在已开发市场和新兴市场的应用都将迅速扩展。

缺乏技术专长

许多农民缺乏机器人、人工智慧和数据分析的培训，减缓了这些技术的应用速度。小规模农场往往难以将自动化融入传统耕作方式，而技术纯熟劳工高成本和培训机会有限加剧了这项挑战。供应商也难以向农村社区提供足够的帮助和培训。由于缺乏足够的专业知识，农民可能会未能充分利用先进工具或错误地管理机器人系统。这种知识鸿沟仍然是阻碍世界充分发挥农业自动化潜力的一大障碍。

机器人即服务 (RaaS)

农民可以透过订阅或计量型模式获得先进的机器人解决方案，而无需大量初始投资。这种方式降低了经济门槛，使中小农场也能轻鬆自动化。服务供应商提供包括维护、软体更新和技术支援在内的综合解决方案。机器人即服务 (RaaS) 模式鼓励农民尝试新技术，并允许他们根据需要扩展业务规模。连接性和云端平台的进步使远端监控和控制更加便捷。随着 RaaS 的普及，预计农业机器人将在各个地区加速应用。

网路安全漏洞

自主设备、无人机和物联网感测器会产生大量数据，这些数据可能面临洩漏风险。针对农场管理平台的网路攻击可能会扰乱运作并洩露敏感的作物资讯。遍远地区薄弱的安全通讯协定增加了未授权存取的风险。随着机器人技术与云端分析的融合，保护数位基础设施变得至关重要。企业必须投资加密、安全网路和即时监控，以降低威胁。

新冠疫情的影响：

疫情扰乱了农业供应链，导致设备交付延迟和劳动力短缺。封锁措施限制了人们进入农场，减缓了新型态机器人系统的应用。然而，这场危机也凸显了自动化在劳动力短缺时期维持粮食生产的重要性。农民们更加依赖无人机和自主机械来确保生产的连续性。疫情加速了数位转型，提高了对远端监控和预测分析的依赖。疫情过后，我们预期随着农民将效率和风险管理放在首位，农业机器人的应用将会更加普及。

预计在预测期内，无人机（UAV）细分市场将占据最大的市场份额。

预计在预测期内，无人机（UAV）领域将占据最大的市场份额。无人机广泛应用于作物监测、喷洒农药和测绘，具有无可比拟的效率。它们能够快速覆盖大面积区域，使其成为现代农业不可或缺的工具。成像技术和人工智慧驱动的分析技术的进步正在不断提升无人机的性能。农民越来越多地使用无人机来检测病虫害和营养缺乏。成本的降低和监管支持进一步推动了无人机的普及应用。

预计作物监测和分析领域在预测期内将实现最高的复合年增长率。

预计在预测期内，作物监测和分析领域将实现最高成长率。对作物健康状况即时洞察的需求日益增长，推动了先进感测器和分析平台的应用。农民正在利用机器人技术追踪土壤状况、植物生长情况以及天气影响。人工智慧和机器学习的融合，使得产量优化预测模型得以实现。云端平台让不同规模的农场都能轻鬆存取和实用化数据。对永续性和资源效率的日益重视，进一步刺激了对监测解决方案的需求。

占比最大的地区：

预计北美将在预测期内占据最大的市场份额。强大的技术领先优势和精密农业技术的广泛应用是推动成长的主要动力。美国和加拿大正在大力投资自动驾驶拖拉机、无人机和人工智慧平台。政府的各项措施和补贴正在帮助农民采用智慧技术。完善的基础设施和充足的熟练劳动力进一步巩固了该地区的优势。农业技术公司与研究机构之间的策略合作正在加速创新。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率。人口快速增长和粮食需求不断上升正在推动农业自动化技术的应用。中国、印度和日本等国家正在投资智慧农业技术以提高生产力。政府推行的机械化和数位农业计画正在加速这些技术的应用。本土Start-Ups正与全球公司合作，提供符合当地需求且经济高效的解决方案。农村地区网路连接的不断改善正在促进物联网和机器人系统的广泛应用。

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目录

第一章执行摘要

第二章 前言

  • 概括
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球农业机器人和自动化市场（按机器人类型划分）

  • 无人拖拉机
  • 无人驾驶飞行器（UAV）
  • 自动收割系统
  • 挤乳机器人
  • 除草机器人
  • 播种和种植机器人
  • 灌溉机器人
  • 其他类型的机器人

6. 全球农业机器人和自动化市场（依产品/服务分类）

  • 硬体
    • 感应器
    • 摄影机和导航系统
    • 机械臂致动器
    • 自动驾驶汽车平臺
  • 软体
    • 人工智慧和机器学习平台
    • 精密农业数据分析
    • 控制和导航软体
  • 服务
    • 系统整合与实施
    • 维护和支援
    • 培训和咨询

7. 全球农业机器人和自动化市场（按农业环境划分）

  • 户外
  • 室内的

8. 按农场规模分類的全球农业机器人和自动化市场

  • 小规模农场
  • 中型农场
  • 大型农场

9. 全球农业机器人和自动化市场（按应用划分）

  • 高地农业
  • 收穫管理
  • 作物监测与分析
  • 土壤和灌溉管理
  • 酪农和畜牧业管理
  • 天气追踪与监测
  • 库存管理和农场管理
  • 其他用途

第十章：全球农业机器人和自动化市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • Deere &Company
  • Autonomous Solutions, Inc.
  • AGCO Corporation
  • AgEagle Aerial Systems
  • CNH Industrial NV
  • Harvest Automation
  • Trimble Inc.
  • Naio Technologies
  • DJI
  • Agrobot
  • Lely
  • ecoRobotix
  • DeLaval
  • Blue River Technology
  • BouMatic Robotics
Product Code: SMRC33218

According to Stratistics MRC, the Global Agricultural Robotics & Automation Market is accounted for $16.59 billion in 2025 and is expected to reach $54.43 billion by 2032 growing at a CAGR of 18.5% during the forecast period. Agricultural Robotics & Automation involves the use of smart, automated equipment and robotic systems designed to execute agricultural tasks independently or with limited human control. Leveraging technologies such as AI, IoT sensors, computer vision, and navigation systems, these solutions enable precise and efficient field operations including sowing, crop monitoring, harvesting, and animal care. The adoption of automation in agriculture helps address labor shortages, lowers input costs, enhances operational accuracy, and promotes sustainable, data-driven farming practices while boosting overall farm productivity.

Market Dynamics:

Driver:

Precision agriculture adoption

Farmers are increasingly adopting technologies such as drones, autonomous tractors, and AI-driven sensors to optimize resource utilization. These innovations enable more accurate seeding, irrigation, and fertilization, reducing waste and improving crop yields. Rising global food demand and pressure to maximize productivity are accelerating the shift toward data-driven farming practices. Integration of IoT and machine learning is enhancing decision-making and operational efficiency across farms. Governments and agricultural organizations are promoting smart farming initiatives to ensure sustainability and food security. As precision agriculture becomes mainstream, robotics adoption is expected to expand rapidly across both developed and emerging markets.

Restraint:

Lack of technical expertise

Many agricultural workers lack training in robotics, AI, and data analytics, slowing the pace of implementation. Smaller farms often struggle with the complexity of integrating automation into traditional practices. High costs of skilled labor and limited access to training programs further exacerbate the challenge. Vendors face difficulties in providing adequate support and education to rural communities. Without sufficient expertise, farmers risk underutilizing advanced tools or mismanaging robotic systems. This knowledge gap continues to restrain the full potential of agricultural automation worldwide.

Opportunity:

Robotics-as-a-service (RaaS)

Farmers can access advanced robotic solutions without heavy upfront investments, paying instead through subscription or usage-based models. This approach lowers financial barriers and makes automation accessible to small and medium-sized farms. Service providers are offering bundled solutions that include maintenance, software updates, and technical support. RaaS models also encourage experimentation with new technologies, enabling farmers to scale usage as needed. Advances in connectivity and cloud platforms are making remote monitoring and deployment more feasible. As RaaS expands, it is expected to accelerate agricultural robotics penetration across diverse geographies.

Threat:

Cybersecurity vulnerabilities

Autonomous equipment, drones, and IoT sensors generate vast amounts of data that can be vulnerable to breaches. Cyberattacks targeting farm management platforms may disrupt operations or compromise sensitive crop information. Weak security protocols in rural areas heighten the risk of unauthorized access. As robotics integrate with cloud-based analytics, safeguarding digital infrastructure becomes critical. Companies must invest in encryption, secure networks, and real-time monitoring to mitigate threats.

Covid-19 Impact:

The pandemic disrupted agricultural supply chains, delaying equipment deliveries and limiting workforce availability. Lockdowns restricted access to farms and slowed the deployment of new robotic systems. However, the crisis highlighted the importance of automation in maintaining food production during labor shortages. Farmers increasingly turned to drones and autonomous machinery to ensure continuity of operations. The pandemic also accelerated digital transformation, with greater reliance on remote monitoring and predictive analytics. Post-Covid, agricultural robotics adoption is expected to rise as farms prioritize efficiency and risk management.

The unmanned aerial vehicles (UAVs) segment is expected to be the largest during the forecast period

The unmanned aerial vehicles (UAVs) segment is expected to account for the largest market share during the forecast period. UAVs are widely used for crop monitoring, spraying, and field mapping, offering unmatched efficiency. Their ability to cover large areas quickly makes them indispensable for modern farming. Advances in imaging technologies and AI-driven analytics are enhancing UAV capabilities. Farmers are increasingly relying on drones to detect pests, diseases, and nutrient deficiencies. Cost reductions and regulatory support are further boosting UAV adoption.

The crop monitoring & analysis segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the crop monitoring & analysis segment is predicted to witness the highest growth rate. Rising demand for real-time insights into crop health is driving adoption of advanced sensors and analytics platforms. Farmers are leveraging robotics to track soil conditions, plant growth, and weather impacts. Integration of AI and machine learning is enabling predictive modeling for yield optimization. Cloud-based platforms are making data accessible and actionable across diverse farm sizes. Growing emphasis on sustainability and resource efficiency is reinforcing demand for monitoring solutions.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Strong technological leadership and widespread adoption of precision farming practices are driving growth. The U.S. and Canada are investing heavily in autonomous tractors, drones, and AI-driven platforms. Government initiatives and subsidies are supporting farmers in adopting smart technologies. Robust infrastructure and access to skilled labor further strengthen the region's position. Strategic collaborations between agritech firms and research institutions are accelerating innovation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid population growth and rising food demand are pressuring farms to embrace automation. Countries like China, India, and Japan are investing in smart farming technologies to boost productivity. Government programs promoting mechanization and digital agriculture are accelerating adoption. Local startups and global players are collaborating to deliver cost-effective solutions tailored to regional needs. Expanding rural connectivity is enabling wider deployment of IoT and robotic systems.

Key players in the market

Some of the key players in Agricultural Robotics & Automation Market include Deere & Company, Autonomous Solutions, Inc., AGCO Corporation, AgEagle Aerial Systems, CNH Industrial N.V., Harvest Automation, Trimble Inc., Naio Technologies, DJI, Agrobot, Lely, ecoRobotix, DeLaval, Blue River Technology, and BouMatic Robotics.

Key Developments:

In December 2025, Deere & Company entered into an agreement to acquire Tenna, a construction technology company, and a holding of The Conti Group, that offers mixed-fleet equipment operations and asset tracking solutions. Tenna will continue to operate as an independent business marketed directly to construction customers under the Tenna tradename and will focus on scaling and growing the business through its proven mixed-fleet customer-focused business model.

In September 2025, AGCO announced its signing of a Virtual Power Purchase Agreement (VPPA) in partnership with BRUC, one of the largest renewable energy groups in Spain. The agreement marks a significant milestone in AGCO's renewable energy strategy and helps reduce its Scope 2 greenhouse gas emissions relating to its indirect onsite purchased electricity.

Robot Types Covered:

  • Driverless Tractors
  • Unmanned Aerial Vehicles (UAVs)
  • Automated Harvesting Systems
  • Milking Robots
  • Weeding Robots
  • Seeding & Planting Robots
  • Irrigation Robots
  • Other Robot Types

Offerings Covered:

  • Hardware
  • Software
  • Services

Farming Environments Covered:

  • Outdoor
  • Indoor

Farm Sizes Covered:

  • Small-hold Farms
  • Mid-sized Farms
  • Large-scale Farms

Applications Covered:

  • Field Farming
  • Harvest Management
  • Crop Monitoring & Analysis
  • Soil & Irrigation Management
  • Dairy & Livestock Management
  • Weather Tracking & Monitoring
  • Inventory & Farm Management
  • Other Applications

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

Table of Contents

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 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Agricultural Robotics & Automation Market, By Robot Type

  • 5.1 Introduction
  • 5.2 Driverless Tractors
  • 5.3 Unmanned Aerial Vehicles (UAVs)
  • 5.4 Automated Harvesting Systems
  • 5.5 Milking Robots
  • 5.6 Weeding Robots
  • 5.7 Seeding & Planting Robots
  • 5.8 Irrigation Robots
  • 5.9 Other Robot Types

6 Global Agricultural Robotics & Automation Market, By Offering

  • 6.1 Introduction
  • 6.2 Hardware
    • 6.2.1 Sensors
    • 6.2.2 Cameras & Navigation Systems
    • 6.2.3 Robotic Arms & Actuators
    • 6.2.4 Autonomous Vehicle Platforms
  • 6.3 Software
    • 6.3.1 AI & Machine Learning Platforms
    • 6.3.2 Precision Ag Data Analytics
    • 6.3.3 Control & Navigation Software
  • 6.4 Services
    • 6.4.1 System Integration & Deployment
    • 6.4.2 Maintenance & Support
    • 6.4.3 Training & Consulting

7 Global Agricultural Robotics & Automation Market, By Farming Environment

  • 7.1 Introduction
  • 7.2 Outdoor
  • 7.3 Indoor

8 Global Agricultural Robotics & Automation Market, By Farm Size

  • 8.1 Introduction
  • 8.2 Small-hold Farms
  • 8.3 Mid-sized Farms
  • 8.4 Large-scale Farms

9 Global Agricultural Robotics & Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Field Farming
  • 9.3 Harvest Management
  • 9.4 Crop Monitoring & Analysis
  • 9.5 Soil & Irrigation Management
  • 9.6 Dairy & Livestock Management
  • 9.7 Weather Tracking & Monitoring
  • 9.8 Inventory & Farm Management
  • 9.9 Other Applications

10 Global Agricultural Robotics & Automation 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 Deere & Company
  • 12.2 Autonomous Solutions, Inc.
  • 12.3 AGCO Corporation
  • 12.4 AgEagle Aerial Systems
  • 12.5 CNH Industrial N.V.
  • 12.6 Harvest Automation
  • 12.7 Trimble Inc.
  • 12.8 Naio Technologies
  • 12.9 DJI
  • 12.10 Agrobot
  • 12.11 Lely
  • 12.12 ecoRobotix
  • 12.13 DeLaval
  • 12.14 Blue River Technology
  • 12.15 BouMatic Robotics

List of Tables

  • Table 1 Global Agricultural Robotics & Automation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Agricultural Robotics & Automation Market Outlook, By Robot Type (2024-2032) ($MN)
  • Table 3 Global Agricultural Robotics & Automation Market Outlook, By Driverless Tractors (2024-2032) ($MN)
  • Table 4 Global Agricultural Robotics & Automation Market Outlook, By Unmanned Aerial Vehicles (UAVs) (2024-2032) ($MN)
  • Table 5 Global Agricultural Robotics & Automation Market Outlook, By Automated Harvesting Systems (2024-2032) ($MN)
  • Table 6 Global Agricultural Robotics & Automation Market Outlook, By Milking Robots (2024-2032) ($MN)
  • Table 7 Global Agricultural Robotics & Automation Market Outlook, By Weeding Robots (2024-2032) ($MN)
  • Table 8 Global Agricultural Robotics & Automation Market Outlook, By Seeding & Planting Robots (2024-2032) ($MN)
  • Table 9 Global Agricultural Robotics & Automation Market Outlook, By Irrigation Robots (2024-2032) ($MN)
  • Table 10 Global Agricultural Robotics & Automation Market Outlook, By Other Robot Types (2024-2032) ($MN)
  • Table 11 Global Agricultural Robotics & Automation Market Outlook, By Offering (2024-2032) ($MN)
  • Table 12 Global Agricultural Robotics & Automation Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 13 Global Agricultural Robotics & Automation Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 14 Global Agricultural Robotics & Automation Market Outlook, By Cameras & Navigation Systems (2024-2032) ($MN)
  • Table 15 Global Agricultural Robotics & Automation Market Outlook, By Robotic Arms & Actuators (2024-2032) ($MN)
  • Table 16 Global Agricultural Robotics & Automation Market Outlook, By Autonomous Vehicle Platforms (2024-2032) ($MN)
  • Table 17 Global Agricultural Robotics & Automation Market Outlook, By Software (2024-2032) ($MN)
  • Table 18 Global Agricultural Robotics & Automation Market Outlook, By AI & Machine Learning Platforms (2024-2032) ($MN)
  • Table 19 Global Agricultural Robotics & Automation Market Outlook, By Precision Ag Data Analytics (2024-2032) ($MN)
  • Table 20 Global Agricultural Robotics & Automation Market Outlook, By Control & Navigation Software (2024-2032) ($MN)
  • Table 21 Global Agricultural Robotics & Automation Market Outlook, By Services (2024-2032) ($MN)
  • Table 22 Global Agricultural Robotics & Automation Market Outlook, By System Integration & Deployment (2024-2032) ($MN)
  • Table 23 Global Agricultural Robotics & Automation Market Outlook, By Maintenance & Support (2024-2032) ($MN)
  • Table 24 Global Agricultural Robotics & Automation Market Outlook, By Training & Consulting (2024-2032) ($MN)
  • Table 25 Global Agricultural Robotics & Automation Market Outlook, By Farming Environment (2024-2032) ($MN)
  • Table 26 Global Agricultural Robotics & Automation Market Outlook, By Outdoor (2024-2032) ($MN)
  • Table 27 Global Agricultural Robotics & Automation Market Outlook, By Indoor (2024-2032) ($MN)
  • Table 28 Global Agricultural Robotics & Automation Market Outlook, By Farm Size (2024-2032) ($MN)
  • Table 29 Global Agricultural Robotics & Automation Market Outlook, By Small-hold Farms (2024-2032) ($MN)
  • Table 30 Global Agricultural Robotics & Automation Market Outlook, By Mid-sized Farms (2024-2032) ($MN)
  • Table 31 Global Agricultural Robotics & Automation Market Outlook, By Large-scale Farms (2024-2032) ($MN)
  • Table 32 Global Agricultural Robotics & Automation Market Outlook, By Application (2024-2032) ($MN)
  • Table 33 Global Agricultural Robotics & Automation Market Outlook, By Field Farming (2024-2032) ($MN)
  • Table 34 Global Agricultural Robotics & Automation Market Outlook, By Harvest Management (2024-2032) ($MN)
  • Table 35 Global Agricultural Robotics & Automation Market Outlook, By Crop Monitoring & Analysis (2024-2032) ($MN)
  • Table 36 Global Agricultural Robotics & Automation Market Outlook, By Soil & Irrigation Management (2024-2032) ($MN)
  • Table 37 Global Agricultural Robotics & Automation Market Outlook, By Dairy & Livestock Management (2024-2032) ($MN)
  • Table 38 Global Agricultural Robotics & Automation Market Outlook, By Weather Tracking & Monitoring (2024-2032) ($MN)
  • Table 39 Global Agricultural Robotics & Automation Market Outlook, By Inventory & Farm Management (2024-2032) ($MN)
  • Table 40 Global Agricultural Robotics & Automation Market Outlook, By Other Applications (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.