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全球農業自動化市場預測至2032年：依產品、農場類型、農業環境、技術、應用和地區分類

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球農業自動化市場規模將達到 155.4 億美元，到 2032 年將達到 322.6 億美元，預測期內複合年成長率為 11.0%。

農業自動化是指引進技術和機械設備來完成農業生產任務，同時減少對人工的依賴。它整合了機器人、感測器、GPS和軟體系統，以改善播種、灌溉、施肥、收割和牲畜管理。這種自動化提高了重複性工作的效率，從而提高了生產力並降低了成本。透過實現精準最佳化的耕作方式，它有助於永續農業、高效資源利用和可靠的糧食生產。

全球糧食需求不斷成長

人口成長、飲食習慣改變和都市化進程加快，促使人們更需要提高農業生產力和最佳化農場管理。農民正在採用自動化系統，例如機器人收割機、精準播種機和灌溉控制系統，以最佳化產量。技術進步提高了對土壤健康、作物生長和用水狀況的監測能力，從而確保資源利用效率。自動化也有助於減少對勞動力的依賴，並緩解已開發國家和開發中國家的勞動力短缺問題。智慧感測器和無人機的整合應用，使農民能夠做出即時決策，從而提高作物品質並最大限度地減少損失。

技術複雜性與技能差距

由於技術專長有限，中小農場往往難以採用先進的機械設備。機器人、感測器和人工智慧平台的高額初始投資也阻礙了這些技術的廣泛應用。農民需要接受專門培訓才能有效率地操作和維護自動化系統。與現有農場基礎設施​​的整合可能既困難又耗時。此外，農村地區通常難以獲得可靠的網路存取和技術支持，這會減緩技術的普及速度。這些因素共同限制了農業自動化技術的普及速度。

整合人工智慧和生成式人工智慧

人工智慧解決方案能夠最佳化作物種植規劃、預測病蟲害爆發並提高灌溉效率。生成式人工智慧工具使農民能夠模擬農業場景並設計更有效率的種植策略。自動化決策系統減少了人為錯誤，提高了生產力並降低了營運成本。隨著人工智慧技術變得更加經濟實惠和普及，新興市場尤其有望從中受益。智慧農業平台和基於物聯網的監控系統的擴展進一步推動了其應用。這些創新正在將傳統農業轉變為數據驅動的精密農業，從而提高效率和永續性。

監管和法律障礙

各國政府通常要求遵守嚴格的安全、環境和營運標準，而各國監管差異也使自動化農業設備的全球部署變得複雜。人工智慧工具的智慧財產權保護也可能引發法律糾紛。認證和核准的延誤會減緩新技術進入市場的步伐。如果自動化系統無意中造成環境或作物損害，農民可能面臨處罰。總而言之，這些障礙都對市場擴張和投資者對農業自動化的信心構成風險。

新冠疫情的感染疾病：

新冠疫情擾亂了傳統的農業生產方式，加速了自動化技術的普及。封鎖和勞動力短缺凸顯了減少對人工依賴的機械設備的重要性。供應鏈中斷影響了種子、化肥和機械設備的供應，凸顯了自給自足的自動化流程的價值。為了維持生產力，農民加快了遠端監控和智慧灌溉系統的轉型。政府和私人企業積極推動數位化舉措，以支持糧食生產的韌性。即使在疫情之後，農業部門仍將自動化視為實現穩定和成長的關鍵策略。

在預測期內，硬體細分市場將佔據最大的市場佔有率。

預計在預測期內，硬體領域將佔據最大的市場佔有率。自動駕駛曳引機、機器人收割機、感測器和灌溉系統等設備將佔據市場收入的大部分。這些工具對於提高生產力、減少勞動力依賴和確保作業精準至關重要。感測器技術、連接性和耐用性方面的技術進步正在提升硬體解決方案的效率。農民們正擴大投資智慧機械，以最佳化產量並降低營運成本。智慧機械在作物種植、畜牧管理、溫室營運等領域的廣泛應用，正在鞏固其市場主導地位。

預計畜牧和酪農自動化領域在預測期內將實現最高的複合年成長率。

預計在預測期內，畜牧和酪農自動化領域將實現最高成長率。機器人擠乳系統和飼料管理平台等自動化技術有助於提高效率和動物福利。乳製品和肉類產品需求的成長正在推動精準畜牧解決方案的普及。感測器和人工智慧工具能夠即時監測動物健康狀況、產奶量並最佳化飼料。人事費用的降低和生物安全措施的加強也是推動成長要素。新興經濟體正在增加對自動化系統的投資，以實現畜牧業的現代化。

佔比最大的地區：

預計北美將在預測期內佔據最大的市場佔有率。先進的農業基礎設施、機器人技術的廣泛應用以及政府的支持政策，共同促成了該地區的主導地位。精密農業和自動化灌溉系統在美國和加拿大已廣泛應用。強大的研發投入和技術創新進一步推動了市場滲透。全球設備製造商與區域企業之間的合作正在強化整個生態系統。此外，該地區對永續和高效農業實踐的重視也促進了相關技術的普及應用。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率。人口快速成長和糧食需求不斷上升，推動了對自動化農業技術的投資。中國、印度和日本等國政府正大力推廣智慧農業舉措和補貼計畫。小規模農戶也正逐步採用精密農業工具、無人機和人工智慧平台來提高生產力。與全球企業的技術合作正在加速知識轉移和市場成長。農業機械化和數位化農業解決方案的不斷普及進一步推動了這些技術的應用。

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目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球農業自動化市場（依產品/服務分類）

  • 硬體
    • 自主式曳引機和機械
    • 農業機器人
    • 無人機（無人駕駛飛行器）
    • 感測器和控制設備
    • GPS/導航系統
  • 軟體
    • 農場管理軟體
    • 精密農業軟體
    • 人工智慧和分析平台
  • 服務
    • 實施與整合
    • 維護和支援
    • 數據諮詢服務

6. 全球農業自動化市場（依農場類型分類）

  • 小規模農場
  • 中型農場
  • 大型商業農場

7. 全球農業自動化市場（以農業環境分類）

  • 戶外栽培
  • 溫室栽培
  • 室內/受控環境農業

8. 全球農業自動化市場（依技術分類）

  • 機器人自動化
  • 人工智慧/機器學習
  • IoT
  • GPS和車載資訊系統
  • 資料分析
  • 其他

9. 全球農業自動化市場（按應用領域分類）

  • 精密農業
  • 種植/播種自動化
  • 灌溉自動化
  • 作物監測和噴灑
  • 自動化收割
  • 畜牧業和酪農自動化
  • 溫室自動化
  • 其他

第10章 全球農業自動化市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 企業概況

  • 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.