封面
市场调查报告书
商品编码
1924988

全球农业自动化市场预测至2032年:依产品、农场类型、农业环境、技术、应用和地区划分

Agricultural Automation Market Forecasts to 2032 - Global Analysis By Offering (Hardware, Software, and Services), Farm Type, Farming Environment, Technology, 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,全球农业自动化市场规模将达到 155.4 亿美元,到 2032 年将达到 322.6 亿美元,预测期内复合年增长率为 11.0%。

农业自动化是指引进技术和机械设备来完成农业生产任务,同时减少对人工的依赖。它整合了机器人、感测器、GPS和软体系统,以改善播种、灌溉、施肥、收割和牲畜管理。这种自动化提高了重复性工作的效率,从而提高了生产力并降低了成本。透过实现精准优化的耕作方式,它有助于永续农业、高效资源利用和可靠的粮食生产。

全球粮食需求不断成长

人口成长、饮食习惯改变和都市化进程加快,促使人们更需要提高农业生产力和优化农场管理。农民正在采用自动化系统,例如机器人收割机、精准播种机和灌溉控制系统,以优化产量。技术进步提高了对土壤健康、作物生长和用水状况的监测能力,从而确保资源利用效率。自动化也有助于减少对劳动力的依赖,并缓解已开发国家和开发中国家的劳动力短缺问题。智慧感测器和无人机的整合应用,使农民能够做出即时决策,从而提高作物品质并最大限度地减少损失。

技术复杂性与技能差距

由于技术专长有限,中小农场往往难以采用先进的机械设备。机器人、感测器和人工智慧平台的高额初始投资也阻碍了这些技术的广泛应用。农民需要接受专门培训才能有效率地操作和维护自动化系统。与现有农场基础设施​​的整合可能既困难又耗时。此外,农村地区通常难以获得可靠的网路存取和技术支持,这会减缓技术的普及速度。这些因素共同限制了农业自动化技术的普及速度。

整合人工智慧和生成式人工智慧

人工智慧解决方案能够优化作物种植规划、预测病虫害爆发并提高灌溉效率。生成式人工智慧工具使农民能够模拟农业场景并设计更有效率的种植策略。自动化决策系统减少了人为错误,提高了生产力并降低了营运成本。随着人工智慧技术变得更加经济实惠和普及,新兴市场尤其有望从中受益。智慧农业平台和基于物联网的监控系统的扩展进一步推动了其应用。这些创新正在将传统农业转变为数据驱动的精密农业,从而提高效率和永续性。

监管和法律障碍

各国政府通常要求遵守严格的安全、环境和营运标准,而各国监管差异也使自动化农业设备的全球部署变得复杂。人工智慧工具的智慧财产权保护也可能引发法律纠纷。认证和核准的延误会减缓新技术进入市场的步伐。如果自动化系统无意中造成环境或作物损害,农民可能面临处罚。总而言之,这些障碍都对市场扩张和投资者对农业自动化的信心构成风险。

新冠疫情的感染疾病:

新冠疫情扰乱了传统的农业生产方式,加速了自动化技术的普及。封锁和劳动力短缺凸显了减少对人工依赖的机械设备的重要性。供应链中断影响了种子、化肥和机械设备的供应,凸显了自给自足的自动化流程的价值。为了维持生产力,农民加快了远端监控和智慧灌溉系统的转型。政府和私人企业积极推动数位化倡议,以支持粮食生产的韧性。即使在疫情之后,农业部门仍将自动化视为实现稳定和成长的关键策略。

在预测期内,硬体细分市场将占据最大的市场份额。

预计在预测期内,硬体领域将占据最大的市场份额。自动驾驶拖拉机、机器人收割机、感测器和灌溉系统等设备将占据市场收入的大部分。这些工具对于提高生产力、减少劳动力依赖和确保作业精准至关重要。感测器技术、连接性和耐用性方面的技术进步正在提升硬体解决方案的效率。农民们正越来越多地投资智慧机械,以优化产量并降低营运成本。智慧机械在作物种植、畜牧管理、温室营运等领域的广泛应用,正在巩固其市场主导地位。

预计畜牧和酪农自动化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,畜牧和酪农自动化领域将实现最高成长率。机器人挤乳系统和饲料管理平台等自动化技术有助于提高效率和动物福利。乳製品和肉类产品需求的成长正在推动精准畜牧解决方案的普及。感测器和人工智慧工具能够即时监测动物健康状况、产奶量并优化饲料。人事费用的降低和生物安全措施的加强也是推动成长要素。新兴经济体正在增加对自动化系统的投资,以实现畜牧业的现代化。

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。先进的农业基础设施、机器人技术的广泛应用以及政府的支持政策,共同促成了该地区的主导地位。精密农业和自动化灌溉系统在美国和加拿大已广泛应用。强大的研发投入和技术创新进一步推动了市场渗透。全球设备製造商与区域企业之间的合作正在强化整个生态系统。此外,该地区对永续和高效农业实践的重视也促进了相关技术的普及应用。

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,推动了对自动化农业技术的投资。中国、印度和日本等国政府正大力推广智慧农业倡议和补贴计画。小规模农户也正逐步采用精密农业工具、无人机和人工智慧平台来提高生产力。与全球企业的技术合作正在加速知识转移和市场成长。农业机械化和数位化农业解决方案的不断普及进一步推动了这些技术的应用。

免费客製化服务:

购买此报告的客户可以选择以下免费自订选项之一:

  • 公司概况
    • 对其他市场参与者(最多 3 家公司)进行全面分析
    • 主要参与者(最多3家公司)的SWOT分析
  • 区域细分
    • 根据客户要求,对主要国家进行市场估算和预测,并计算复合年增长率(註:可行性需确认)。
  • 竞争标竿分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟进行基准分析

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
  • 技术分析
  • 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. 全球农业自动化市场(依产品/服务划分)

  • 硬体
    • 自主式拖拉机和机械
    • 农业机器人
    • 无人机(无人驾驶飞行器)
    • 感测器和控制设备
    • GPS/导航系统
  • 软体
    • 农场管理软体
    • 精密农业软体
    • 人工智慧和分析平台
  • 服务
    • 实施与集成
    • 维护和支援
    • 数据咨询服务

6. 全球农业自动化市场(依农场类型划分)

  • 小规模农场
  • 中型农场
  • 大型商业农场

7. 全球农业自动化市场(以农业环境划分)

  • 户外栽培
  • 温室栽培
  • 室内/受控环境农业

8. 全球农业自动化市场(依技术划分)

  • 机器人自动化
  • 人工智慧/机器学习
  • IoT
  • GPS和车载资讯系统
  • 资料分析
  • 其他的

9. 全球农业自动化市场(按应用领域划分)

  • 精密农业
  • 种植/播种自动化
  • 灌溉自动化
  • 作物监测和喷洒
  • 自动化收割
  • 畜牧业和酪农自动化
  • 温室自动化
  • 其他的

第十章 全球农业自动化市场(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
  • PrecisionHawk
  • AGCO Corporation
  • Autonomous Solutions
  • Trimble Inc.
  • DJI
  • CNH Industrial
  • Lely Holding
  • Kubota Corporation
  • DeLaval
  • Yamaha Motor Co., Ltd.
  • DICKEY-john Corporation
  • Raven Industries
  • Topcon Positioning Systems
  • AG Leader Technology
Product Code: SMRC33382

According to Stratistics MRC, the Global Agricultural Automation Market is accounted for $15.54 billion in 2025 and is expected to reach $32.26 billion by 2032 growing at a CAGR of 11.0% during the forecast period. Agricultural automation involves implementing technology and machinery to carry out farming operations while reducing reliance on manual labor. It integrates robotics, sensors, GPS, and software systems to improve planting, irrigation, fertilization, harvesting, and livestock management. This automation streamlines repetitive tasks, boosts efficiency, lowers costs, and enhances overall productivity. By enabling precise and optimized agricultural practices, it supports sustainable farming, effective resource utilization, and consistent food production.

Market Dynamics:

Driver:

Rising global food demand

Increasing populations, changing dietary habits and urbanization are pushing the need for higher productivity and efficient farm management. Farmers are adopting automated systems such as robotic harvesters, precision planters, and irrigation control to optimize yields. Technological improvements are enabling better monitoring of soil health, crop growth, and water usage, ensuring resource efficiency. Automation is also reducing labor dependency, addressing workforce shortages in both developed and developing countries. The integration of smart sensors and drones allows farmers to make real-time decisions, improving crop quality and minimizing losses.

Restraint:

Technological complexity and skill gaps

Small- and medium-sized farms often struggle to implement sophisticated machinery due to limited technical expertise. The high initial investment in robotics, sensors, and AI-driven platforms also deters widespread adoption. Farmers require specialized training to operate and maintain automated systems efficiently. Integration with existing farm infrastructure can be challenging and time-consuming. Additionally, rural areas may have limited access to reliable internet or technical support, slowing deployment. These factors collectively constrain the pace at which automation technologies are adopted in agriculture.

Opportunity:

Integration of AI and generative AI

AI-powered solutions can optimize crop planning, predict pest infestations, and enhance irrigation efficiency. Generative AI tools are enabling farmers to simulate farming scenarios and design more efficient planting strategies. Automated decision-making systems reduce human error and improve productivity while lowering operational costs. Emerging markets are particularly poised to benefit as AI technologies become more affordable and accessible. The expansion of smart farming platforms and IoT-based monitoring systems is further driving adoption. These innovations are transforming traditional agriculture into data-driven, precision farming practices with higher efficiency and sustainability.

Threat:

Regulatory and legal barriers

Governments often require compliance with stringent safety, environmental, and operational standards. Differences in regulations across countries complicate global deployment of automated farming equipment. Intellectual property protection for AI-driven tools can also create legal disputes. Delays in certification and approvals slow down the introduction of new technologies to market. Farmers may face penalties if automated systems inadvertently cause environmental harm or crop damage. These hurdles collectively pose risks to market expansion and investor confidence in agricultural automation.

Covid-19 Impact:

The Covid-19 pandemic disrupted traditional farming operations and accelerated the adoption of automation. Lockdowns and labor shortages highlighted the need for machinery that reduces human dependency. Supply chain interruptions affected access to seeds, fertilizers, and machinery, emphasizing the value of self-sufficient, automated processes. Farmers increasingly turned to remote monitoring and smart irrigation systems to maintain productivity. Governments and private players accelerated digital initiatives to support resilient food production. Post-pandemic, the agricultural sector continues to embrace automation as a critical strategy for stability and growth.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period. Equipment such as autonomous tractors, robotic harvesters, sensors, and irrigation systems represent the bulk of market revenue. These tools are essential for improving productivity, reducing labor dependency, and ensuring precision in operations. Technological advancements in sensors, connectivity, and durability are enhancing the efficiency of hardware solutions. Farmers are increasingly investing in smart machinery to optimize yields and reduce operational costs. The widespread applicability across crop farming, livestock management, and greenhouse operations reinforces its market leadership.

The livestock & dairy automation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the livestock & dairy automation segment is predicted to witness the highest growth rate. Automation technologies in this area, such as robotic milking systems and feed management platforms, are improving efficiency and animal welfare. Rising demand for dairy products and meat is encouraging farmers to adopt precision livestock farming solutions. Sensors and AI tools allow for real-time monitoring of animal health, milk production, and feed optimization. The reduction of manual labor and enhanced biosecurity practices are additional growth drivers. Emerging economies are increasingly investing in automated systems to modernize livestock operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Advanced farming infrastructure, high adoption of robotics, and supportive government initiatives contribute to regional leadership. Precision agriculture and automated irrigation systems are widely deployed across the U.S. and Canada. Strong R&D investment and technological innovation further enhance market penetration. Collaborations between global equipment manufacturers and regional players strengthen the ecosystem. Additionally, the region's focus on sustainable and efficient farming practices supports adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid population growth and increasing food demand are driving investments in automated farming technologies. Governments in countries like China, India, and Japan are promoting smart agriculture initiatives and subsidies. Smallholder farmers are gradually adopting precision tools, drones, and AI-based platforms to enhance productivity. Technological collaborations with global players accelerate knowledge transfer and market growth. Expansion of farm mechanization and digital agriculture solutions further boosts adoption.

Key players in the market

Some of the key players in Agricultural Automation Market include Deere & Company, PrecisionHawk, AGCO Corporation, Autonomous Solutions, Trimble Inc., DJI, CNH Industrial, Lely Holding, Kubota Corporation, DeLaval, Yamaha Motor Co., Ltd., DICKEY-john Corporation, Raven Industries, Topcon Positioning Systems, and AG Leader Technology.

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.

Offerings Covered:

  • Hardware
  • Software
  • Services

Farm Types Covered:

  • Small Farms
  • Medium Farms
  • Large Commercial Farms

Farming Environments Covered:

  • Open Field Farming
  • Greenhouses
  • Indoor & Controlled Environment Agriculture

Technologies Covered:

  • Robotics & Automation
  • Artificial Intelligence & Machine Learning
  • Internet of Things (IoT)
  • GPS & Telematics
  • Data Analytics
  • Other Technologies

Applications Covered:

  • Precision Farming
  • Planting & Seeding Automation
  • Irrigation Automation
  • Crop Monitoring & Spraying
  • Harvesting Automation
  • Livestock & Dairy Automation
  • Greenhouse Automation
  • 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 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Automation Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Autonomous Tractors & Machinery
    • 5.2.2 Agricultural Robots
    • 5.2.3 Drones (UAVs)
    • 5.2.4 Sensors & Control Devices
    • 5.2.5 GPS & Guidance Systems
  • 5.3 Software
    • 5.3.1 Farm Management Software
    • 5.3.2 Precision Farming Software
    • 5.3.3 AI & Analytics Platforms
  • 5.4 Services
    • 5.4.1 Installation & Integration
    • 5.4.2 Maintenance & Support
    • 5.4.3 Data & Advisory Services

6 Global Agricultural Automation Market, By Farm Type

  • 6.1 Introduction
  • 6.2 Small Farms
  • 6.3 Medium Farms
  • 6.4 Large Commercial Farms

7 Global Agricultural Automation Market, By Farming Environment

  • 7.1 Introduction
  • 7.2 Open Field Farming
  • 7.3 Greenhouses
  • 7.4 Indoor & Controlled Environment Agriculture

8 Global Agricultural Automation Market, By Technology

  • 8.1 Introduction
  • 8.2 Robotics & Automation
  • 8.3 Artificial Intelligence & Machine Learning
  • 8.4 Internet of Things (IoT)
  • 8.5 GPS & Telematics
  • 8.6 Data Analytics
  • 8.7 Other Technologies

9 Global Agricultural Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Precision Farming
  • 9.3 Planting & Seeding Automation
  • 9.4 Irrigation Automation
  • 9.5 Crop Monitoring & Spraying
  • 9.6 Harvesting Automation
  • 9.7 Livestock & Dairy Automation
  • 9.8 Greenhouse Automation
  • 9.9 Other Applications

10 Global Agricultural 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 PrecisionHawk
  • 12.3 AGCO Corporation
  • 12.4 Autonomous Solutions
  • 12.5 Trimble Inc.
  • 12.6 DJI
  • 12.7 CNH Industrial
  • 12.8 Lely Holding
  • 12.9 Kubota Corporation
  • 12.10 DeLaval
  • 12.11 Yamaha Motor Co., Ltd.
  • 12.12 DICKEY-john Corporation
  • 12.13 Raven Industries
  • 12.14 Topcon Positioning Systems
  • 12.15 AG Leader Technology

List of Tables

  • Table 1 Global Agricultural Automation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Agricultural Automation Market Outlook, By Offering (2024-2032) ($MN)
  • Table 3 Global Agricultural Automation Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Agricultural Automation Market Outlook, By Autonomous Tractors & Machinery (2024-2032) ($MN)
  • Table 5 Global Agricultural Automation Market Outlook, By Agricultural Robots (2024-2032) ($MN)
  • Table 6 Global Agricultural Automation Market Outlook, By Drones (UAVs) (2024-2032) ($MN)
  • Table 7 Global Agricultural Automation Market Outlook, By Sensors & Control Devices (2024-2032) ($MN)
  • Table 8 Global Agricultural Automation Market Outlook, By GPS & Guidance Systems (2024-2032) ($MN)
  • Table 9 Global Agricultural Automation Market Outlook, By Software (2024-2032) ($MN)
  • Table 10 Global Agricultural Automation Market Outlook, By Farm Management Software (2024-2032) ($MN)
  • Table 11 Global Agricultural Automation Market Outlook, By Precision Farming Software (2024-2032) ($MN)
  • Table 12 Global Agricultural Automation Market Outlook, By AI & Analytics Platforms (2024-2032) ($MN)
  • Table 13 Global Agricultural Automation Market Outlook, By Services (2024-2032) ($MN)
  • Table 14 Global Agricultural Automation Market Outlook, By Installation & Integration (2024-2032) ($MN)
  • Table 15 Global Agricultural Automation Market Outlook, By Maintenance & Support (2024-2032) ($MN)
  • Table 16 Global Agricultural Automation Market Outlook, By Data & Advisory Services (2024-2032) ($MN)
  • Table 17 Global Agricultural Automation Market Outlook, By Farm Type (2024-2032) ($MN)
  • Table 18 Global Agricultural Automation Market Outlook, By Small Farms (2024-2032) ($MN)
  • Table 19 Global Agricultural Automation Market Outlook, By Medium Farms (2024-2032) ($MN)
  • Table 20 Global Agricultural Automation Market Outlook, By Large Commercial Farms (2024-2032) ($MN)
  • Table 21 Global Agricultural Automation Market Outlook, By Farming Environment (2024-2032) ($MN)
  • Table 22 Global Agricultural Automation Market Outlook, By Open Field Farming (2024-2032) ($MN)
  • Table 23 Global Agricultural Automation Market Outlook, By Greenhouses (2024-2032) ($MN)
  • Table 24 Global Agricultural Automation Market Outlook, By Indoor & Controlled Environment Agriculture (2024-2032) ($MN)
  • Table 25 Global Agricultural Automation Market Outlook, By Technology (2024-2032) ($MN)
  • Table 26 Global Agricultural Automation Market Outlook, By Robotics & Automation (2024-2032) ($MN)
  • Table 27 Global Agricultural Automation Market Outlook, By Artificial Intelligence & Machine Learning (2024-2032) ($MN)
  • Table 28 Global Agricultural Automation Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
  • Table 29 Global Agricultural Automation Market Outlook, By GPS & Telematics (2024-2032) ($MN)
  • Table 30 Global Agricultural Automation Market Outlook, By Data Analytics (2024-2032) ($MN)
  • Table 31 Global Agricultural Automation Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 32 Global Agricultural Automation Market Outlook, By Application (2024-2032) ($MN)
  • Table 33 Global Agricultural Automation Market Outlook, By Precision Farming (2024-2032) ($MN)
  • Table 34 Global Agricultural Automation Market Outlook, By Planting & Seeding Automation (2024-2032) ($MN)
  • Table 35 Global Agricultural Automation Market Outlook, By Irrigation Automation (2024-2032) ($MN)
  • Table 36 Global Agricultural Automation Market Outlook, By Crop Monitoring & Spraying (2024-2032) ($MN)
  • Table 37 Global Agricultural Automation Market Outlook, By Harvesting Automation (2024-2032) ($MN)
  • Table 38 Global Agricultural Automation Market Outlook, By Livestock & Dairy Automation (2024-2032) ($MN)
  • Table 39 Global Agricultural Automation Market Outlook, By Greenhouse Automation (2024-2032) ($MN)
  • Table 40 Global Agricultural Automation Market Outlook, By Other Applications (2024-2032) ($MN)

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