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市场调查报告书
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1787874

2032 年农业物联网市场预测：按组件、部署模式、农场类型、连接性别、应用和地区进行的全球分析

IOT in Agriculture Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Service), Deployment Model (On-Premise and Cloud-Based), Farm Type, Connectivity, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球农业物联网市场预计在 2025 年达到 467.4 亿美元，到 2032 年将达到 1,213.4 亿美元，预测期内的复合年增长率为 14.6%。

物联网 (IoT) 正在透过实现智慧农业实践来改变农业，从而提高生产力、效率和永续性。利用感测器和连网设备，农民可以即时追踪牲畜、作物、天气和土壤湿度的动态。数据主导的方法可以实现精准的病虫害防治、施肥和灌溉，减少浪费并提高产量。为了提高效率，物联网技术还可以支援拖拉机和无人机等自动化机械。最终，农业物联网使农民能够做出明智的选择，最大限度地利用资源，并在快速变化的气候条件下确保粮食安全。

根据 OnFarm 的一项研究（粮农组织引用），实施物联网系统的农场产量增加了 1.75%，每英亩能源成本减少了 7-13美国，灌溉用水量减少了 8%。

对精密农业的兴趣日益浓厚

从传统农业转向精密农业的转变是物联网应用背后的驱动力。利用即时数据来制定病虫害防治、灌溉、施肥和种植方面的决策被称为精密农业。变数速率技术 (VRT)、GPS 导航拖拉机和土壤湿度感测器都是支援物联网的设备的例子，它们可以帮助农民仅在需要的地方投入资源，从而降低成本并减少环境影响。此外，随着全球粮食需求的增加和可耕地面积的日益紧张，物联网支援的精密农业对于提高生产力和永续性至关重要。

推出和持续成本高

虽然物联网技术能够带来长期效益，但其初始设定、设备和系统整合成本对于中小型农户来说可能过高。物联网灌溉系统、无人机、自动化机械、智慧感测器和GPS模组价格不菲，尤其是在农业收入匮乏的开发中国家中国家。此外，维护、软体升级、云端储存和资料订阅服务等持续营运成本也加重了财务负担。在缺乏财政奖励或补贴的情况下，高昂的价格仍是阻碍力其普及的重要因素。

与机器学习和人工智慧的集成

物联网与人工智慧和机器学习的融合，使得预测分析、异常检测和自动化决策等农业管理高阶功能成为可能。例如，基于物联网感测器资料训练的人工智慧模型可以根据环境触发因素自动喷洒农药，优化灌溉计划，并预测作物病害的发生。这种协同效应使农业生产更加主动和精准。此外，提供物联网-人工智慧整合平台的公司将更能满足人们对智慧农业系统的需求，使其不仅仅是收集数据。

网路安全与资料外洩风险

随着物联网设备连接性的增强，农场越来越容易受到网路攻击。勒索软体攻击、资料窃取以及自动化系统破坏等威胁可能会危及营运资料以及施肥、灌溉和牲畜饲养等关键流程。与传统IT环境相比，农业物联网系统更容易受到攻击，因为通常缺乏强大的网路安全通讯协定和频繁更新。此外，严重的安全漏洞可能会削弱消费者、投资者和农民的信心，减缓物联网的普及，并引起监管机构的注意。

COVID-19的影响

新冠疫情对农业物联网市场产生了许多影响。最初，由于劳动力短缺、设备交付延迟以及全球供应链中断，物联网设备和基础设施在农场的推广受到了阻碍。然而，随着自动化、非接触式操作和远端监控的需求日益凸显，这场危机也加速了农业的数位转型。为了解决劳动力短缺问题、远端监测作物健康状况以及在停工期间维持粮食供应，越来越多的农民开始寻求物联网解决方案。此外，疫情也推动了物联网的长期应用，并凸显了强大的数据驱动型农业系统的重要性。

预计预测期内本地部署部分将占最大份额

预计本地部署市场将在预测期内占据最大市场占有率。这种主导地位源自于偏远农业地区对资料安全性、即时回应能力和持续营运的需求，这些地区网路连线通常不稳定。本地部署解决方案允许农民和相关企业在本地管理和储存数据，从而完全控制与作物健康、牲畜追踪和设备运作相关的敏感数据。此外，拥有基础设施和技术知识来管理自身伺服器和网路的大型农场和农业企业尤其青睐这些系统。本地部署仍然是精密农业的首选方案，因为它们能够确保资料所有权和营运稳定性。

预计 LPWAN 领域在预测期内的复合年增长率最高

预计LPWAN领域将在预测期内实现最高成长率。 LPWAN以其独特的低能耗远距通讯能力，使其成为在广阔偏远农田中进行广泛农业部署的理想选择，从而推动了这一快速增长。由于LoRaWAN、Sigfox和NB-IoT等技术，追踪土壤湿度、作物健康状况和牲畜状况的感测器仅需一块电池即可无缝传输资料达数年之久。即使在缺乏强大行动电话基础设施的地区，LPWAN也能提供经济实惠且可扩展的连接，这与覆盖范围有限的Wi-Fi和蓝牙截然不同。此外，对无需高速网路的精密农业解决方案的需求日益增长，也推动了LPWAN的广泛应用，使其成为全球智慧农业的关键推动者。

比最大的地区

预计亚太地区将在预测期内占据最大的市场占有率，这得益于其广泛的农业领域、日益增长的粮食安全担忧以及政府对智慧农业技术的大力支持。为了提高永续性和生产力，中国、印度和日本等国家正在大力投资数位农业技术，例如基于感测器的作物监测、自动灌溉和精密农业。现代农业方法的采用、农村人口的成长以及互联互通基础设施的发展进一步推动了对物联网解决方案的需求。因此，亚太地区在农业应用和技术开拓方面处于全球市场的前沿。

复合年增长率最高的地区

预计南美洲在预测期内的复合年增长率最高。这种快速扩张的动力源自于巴西和阿根廷等国精密农业技术的日益普及。这些国家的大规模农业经营者正在利用物联网技术提高产量、高效管理资源，并满足日益增长的全球粮食出口需求。不断增长的农业技术投资、积极的政府项目以及与科技公司的合作，正在加速该地区农业的数位转型。此外，随着互联互通基础设施的进步以及智慧农业优势日益广泛认可，拉丁美洲有望成为农业物联网的主要成长中心。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 二手研究资料
    • 先决条件

第三章市场走势分析

  • 介绍
  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • COVID-19的影响

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. 全球农业物联网市场（按组成部分）

  • 介绍
  • 硬体
    • 感应器
    • 自动化与控制设备
    • 监控和导航
    • 计算和显示
    • 照明
  • 软体
    • 农场管理软体
    • 数据分析平台
    • 物联网平台软体
    • 应用软体
  • 服务
    • 咨询与集成
    • 支援和维护
    • 连线服务
    • 託管服务

6. 全球农业物联网市场（依部署模式）

  • 介绍
  • 本地
  • 云端基础

7. 全球农业物联网市场（依农场类型）

  • 介绍
  • 大型农场
  • 中型农场
  • 小型农场

8. 全球农业物联网市场：连结性别

  • 介绍
  • Wi-Fi
  • Bluetooth
  • Zigbee
  • LPWAN
  • 卫星
  • 其他连接

9. 全球农业物联网市场（按应用）

  • 介绍
  • 精密农业
  • 牲畜监测和管理
  • 室内农业
  • 水产养殖
  • 智慧温室
  • 水产养殖场监控
  • 其他的

10. 全球农业物联网市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 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
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章：企业概况

  • John Deere & Company
  • Hitachi, Ltd.
  • International Business Machines Corporation
  • AGCO Corporation
  • Trimble Inc.
  • Climate Corporation
  • AKVA Group
  • Decisive Farming Corp
  • Topcon Positioning Systems, Inc.
  • Cisco Systems, Inc.
  • Farmers Edge Inc.
  • Komatsu, Ltd
  • SlantRange, Inc.
  • CNH Industrial NV
  • Raven Industries, Inc.
  • Kubota Corporation
Product Code: SMRC30139

According to Stratistics MRC, the Global IOT in Agriculture Market is accounted for $46.74 billion in 2025 and is expected to reach $121.34 billion by 2032 growing at a CAGR of 14.6% during the forecast period. The Internet of Things (IoT) is transforming agriculture by enabling smart farming practices that enhance productivity, efficiency, and sustainability. Farmers can track the movements of livestock, crops, weather, and soil moisture in real time by using sensors and connected devices. By using a data-driven approach, precise pest control, fertilization, and irrigation are made possible, which lowers waste and increases yields. To improve efficiency, IoT technologies also enable automated machinery like tractors and drones. Ultimately, IoT in agriculture enables farmers to make well-informed choices, maximize the use of resources, and guarantee food security in a climate that is changing quickly.

According to a study by OnFarm (cited by FAO), farms deploying IoT systems experienced a 1.75 % rise in yield, energy costs dropping by US $7-13 per acre, and an 8 % reduction in irrigation water use-clear evidence of efficiency gains and resource savings.

Market Dynamics:

Driver:

Growing interest in precision farming

One of the main forces behind the adoption of IoT is the transition from conventional to precision farming. Using real-time data to inform decisions about pest control, irrigation, fertilization, and planting is known as precision farming. Variable rate technology (VRT), GPS-guided tractors, and soil moisture sensors are examples of IoT-enabled devices that assist farmers in applying inputs only where necessary, lowering expenses and their impact on the environment. Moreover, precision agriculture enabled by IoT is becoming critical to improving productivity and sustainability as the world's food demand rises and arable land becomes more limited.

Restraint:

Expensive start-up and ongoing expenses

Even though IoT technologies have long-term advantages, small and medium-sized farmers may find the initial expenses of setup, equipment, and system integration to be unaffordable. IoT-enabled irrigation systems, drones, automated machinery, smart sensors, and GPS modules can all be costly, particularly in developing nations where farm income is scarce. Furthermore, the financial burden is increased by continuing operational costs such as maintenance, software upgrades, cloud storage, and data subscription services. This high price still acts as a major deterrent to adoption in the absence of financial incentives or subsidies.

Opportunity:

Integration with machine learning and artificial intelligence

Advanced capabilities like predictive analytics, anomaly detection, and automated decision-making in farming operations are made possible by the convergence of IoT with AI and ML. AI models trained on IoT sensor data, for instance, can automate pesticide application based on environmental triggers, optimize irrigation schedules, and forecast crop disease outbreaks. More proactive and accurate farming is made possible by this synergy. Additionally, the need for intelligent agriculture systems that do more than just gather data will be better served by businesses that provide integrated IoT-AI platforms.

Threat:

Risks to cyber security and data breach

Farms are increasingly vulnerable to cyber attacks as a result of their increased connectivity through IoT devices. Threats like ransom ware attacks, data theft, or automated system sabotage can jeopardize vital processes like fertilization, irrigation, and animal feeding in addition to operational data. Agricultural IoT systems are more susceptible because they frequently lack strong cyber security protocols and frequent updates, in contrast to traditional IT environments. Moreover, a significant breach might undermine consumer, investor, and farmer trust, slowing adoption and drawing regulatory attention.

Covid-19 Impact:

The COVID-19 pandemic affected the IoT in the agriculture market in a variety of ways. Initially, the deployment of IoT devices and infrastructure on farms was hindered by labor shortages, delays in equipment delivery, and disruptions in global supply chains. However, as the necessity of automation, contactless operations, and remote monitoring became more apparent, the crisis also hastened the digital transformation of agriculture. In order to handle labour shortages, remotely check on crop health, and maintain food supply during lockdowns, farmers are increasingly using IoT solutions. Furthermore, the pandemic served as a driving force behind long-term adoption, emphasizing the importance of robust, data-driven farming systems.

The on-premise segment is expected to be the largest during the forecast period

The on-premise segment is expected to account for the largest market share during the forecast period. The need for improved data security, real-time responsiveness, and continuous operation in remote farming areas where internet connectivity is frequently erratic is primarily to blame for this dominance. On-premise solutions give farmers and agribusinesses complete control over sensitive data pertaining to crop health, livestock tracking, and equipment operations by enabling them to manage and store their data locally. Moreover, large farms and agricultural businesses with the infrastructure and technical know-how to manage their own servers and networks are especially fond of these systems. Because on-premise deployments guarantee data ownership and operational stability, they remain the favored option for precision agriculture.

The LPWAN segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the LPWAN segment is predicted to witness the highest growth rate. The unique capacity of LPWAN to provide long-range communication with low energy consumption, which makes it perfect for extensive agricultural deployments across expansive and remote farmlands, is what is driving this rapid growth. Sensors that track soil moisture, crop health, and livestock conditions can transmit data seamlessly for years on a single battery owing to technologies like LoRaWAN, Sigfox, and NB-IoT. Even in places without strong cellular infrastructure, LPWAN offers affordable, scalable connectivity in contrast to Wi-Fi and Bluetooth, which have range limitations. Additionally, the increasing demand for precision agriculture solutions that don't require high-speed networks is driving its growing adoption, making LPWAN a crucial global enabler of smart farming.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, driven by its extensive agricultural landscape, growing concerns about food security, and robust government backing for smart farming technologies. To increase sustainability and productivity, nations like China, India, and Japan are making significant investments in digital agriculture technologies like sensor-based crop monitoring, automated irrigation, and precision farming. Demand for IoT solutions is being further fueled by the adoption of modern farming methods, the expansion of the rural population, and the development of better connectivity infrastructure. Thus, in terms of agricultural adoption and technological development, Asia Pacific remains at the forefront of the global market.

Region with highest CAGR:

Over the forecast period, the South America region is anticipated to exhibit the highest CAGR. This quick expansion is being driven by the growing use of precision farming techniques in nations like Brazil and Argentina, where extensive farming operations are utilizing IoT technologies to boost output, effectively manage resources, and satisfy the rising demand for food exports worldwide. Growing agri-tech investments, encouraging government programs, and alliances with tech companies are speeding up the digital transformation of the farming industry in the area. Moreover, Latin America is positioned to emerge as a major IoT growth hub for agriculture as connectivity infrastructure advances and the advantages of smart farming become more widely recognized.

Key players in the market

Some of the key players in IOT in Agriculture Market include John Deere & Company, Hitachi, Ltd., International Business Machines Corporation, AGCO Corporation, Trimble Inc., Climate Corporation, AKVA Group, Decisive Farming Corp, Topcon Positioning Systems, Inc., Cisco Systems, Inc., Farmers Edge Inc., Komatsu, Ltd, SlantRange, Inc., CNH Industrial N.V., Raven Industries, Inc. and Kubota Corporation.

Key Developments:

In July 2025, AGCO Corporation announced that it has entered into a fourth amendment to its existing agreement with Tractors and Farm Equipment Limited (TAFE). The amendment extends the expiration date of the Amended and Restated Letter Agreement, or until funds and shares have been deposited in escrow related to the closing of a previously disclosed Buyback Agreement, whichever comes first. According to InvestingPro data, AGCO maintains strong financial health with a current ratio of 1.53, indicating solid liquidity.

In January 2025, John Deere and Wiedenmann announce closer commercial partnership. Under a strategic marketing agreement covering the UK, Ireland and Europe, Wiedenmann turf equipment is available for purchase through John Deere dealerships. The agreement has been extended to provide all John Deere dealers with access to the ever-growing Wiedenmann range of market-leading specialist machinery for turf maintenance and regeneration.

In June 2024, Hitachi, Ltd. and Microsoft Corporation announced projected multi-billion dollar collaboration over the next three years that will accelerate social innovation with generative AI. Through this strategic alliance, Hitachi will propel growth of the Lumada business, with a planned revenue of 2.65 trillion yen (18.9 billion USD)*1 in FY2024, and will promote operational efficiency and productivity improvements for Hitachi Group's 270 thousand employees.

Components Covered:

  • Hardware
  • Software
  • Service

Deployment Models Covered:

  • On-Premise
  • Cloud-Based

Farm Types Covered:

  • Large Farms
  • Mid Size Farms
  • Small Farms

Connectivities Covered:

  • Wi-Fi
  • Bluetooth
  • Zigbee
  • LPWAN
  • Satellite
  • Other Connectivities

Applications Covered:

  • Precision Crop Farming
  • Livestock Monitoring and Management
  • Indoor Farming
  • Aquaculture
  • Smart Greenhouse
  • Fish Farm Monitoring
  • 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 IOT in Agriculture Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Automation & Control Devices
    • 5.2.3 Monitoring & Navigation
    • 5.2.4 Computing & Display
    • 5.2.5 Lighting
  • 5.3 Software
    • 5.3.1 Farm Management Software
    • 5.3.2 Data Analytics Platforms
    • 5.3.3 IoT Platform Software
    • 5.3.4 Application Software
  • 5.4 Service
    • 5.4.1 Consulting & Integration
    • 5.4.2 Support & Maintenance
    • 5.4.3 Connectivity Services
    • 5.4.4 Managed Services

6 Global IOT in Agriculture Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 On-Premise
  • 6.3 Cloud-Based

7 Global IOT in Agriculture Market, By Farm Type

  • 7.1 Introduction
  • 7.2 Large Farms
  • 7.3 Mid Size Farms
  • 7.4 Small Farms

8 Global IOT in Agriculture Market, By Connectivity

  • 8.1 Introduction
  • 8.2 Wi-Fi
  • 8.3 Bluetooth
  • 8.4 Zigbee
  • 8.5 LPWAN
  • 8.6 Satellite
  • 8.7 Other Connectivities

9 Global IOT in Agriculture Market, By Application

  • 9.1 Introduction
  • 9.2 Precision Crop Farming
  • 9.3 Livestock Monitoring and Management
  • 9.4 Indoor Farming
  • 9.5 Aquaculture
  • 9.6 Smart Greenhouse
  • 9.7 Fish Farm Monitoring
  • 9.8 Other Applications

10 Global IOT in Agriculture 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 John Deere & Company
  • 12.2 Hitachi, Ltd.
  • 12.3 International Business Machines Corporation
  • 12.4 AGCO Corporation
  • 12.5 Trimble Inc.
  • 12.6 Climate Corporation
  • 12.7 AKVA Group
  • 12.8 Decisive Farming Corp
  • 12.9 Topcon Positioning Systems, Inc.
  • 12.10 Cisco Systems, Inc.
  • 12.11 Farmers Edge Inc.
  • 12.12 Komatsu, Ltd
  • 12.13 SlantRange, Inc.
  • 12.14 CNH Industrial N.V.
  • 12.15 Raven Industries, Inc.
  • 12.16 Kubota Corporation

List of Tables

  • Table 1 Global IOT in Agriculture Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global IOT in Agriculture Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global IOT in Agriculture Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global IOT in Agriculture Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 5 Global IOT in Agriculture Market Outlook, By Automation & Control Devices (2024-2032) ($MN)
  • Table 6 Global IOT in Agriculture Market Outlook, By Monitoring & Navigation (2024-2032) ($MN)
  • Table 7 Global IOT in Agriculture Market Outlook, By Computing & Display (2024-2032) ($MN)
  • Table 8 Global IOT in Agriculture Market Outlook, By Lighting (2024-2032) ($MN)
  • Table 9 Global IOT in Agriculture Market Outlook, By Software (2024-2032) ($MN)
  • Table 10 Global IOT in Agriculture Market Outlook, By Farm Management Software (2024-2032) ($MN)
  • Table 11 Global IOT in Agriculture Market Outlook, By Data Analytics Platforms (2024-2032) ($MN)
  • Table 12 Global IOT in Agriculture Market Outlook, By IoT Platform Software (2024-2032) ($MN)
  • Table 13 Global IOT in Agriculture Market Outlook, By Application Software (2024-2032) ($MN)
  • Table 14 Global IOT in Agriculture Market Outlook, By Service (2024-2032) ($MN)
  • Table 15 Global IOT in Agriculture Market Outlook, By Consulting & Integration (2024-2032) ($MN)
  • Table 16 Global IOT in Agriculture Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 17 Global IOT in Agriculture Market Outlook, By Connectivity Services (2024-2032) ($MN)
  • Table 18 Global IOT in Agriculture Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 19 Global IOT in Agriculture Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 20 Global IOT in Agriculture Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 21 Global IOT in Agriculture Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 22 Global IOT in Agriculture Market Outlook, By Farm Type (2024-2032) ($MN)
  • Table 23 Global IOT in Agriculture Market Outlook, By Large Farms (2024-2032) ($MN)
  • Table 24 Global IOT in Agriculture Market Outlook, By Mid Size Farms (2024-2032) ($MN)
  • Table 25 Global IOT in Agriculture Market Outlook, By Small Farms (2024-2032) ($MN)
  • Table 26 Global IOT in Agriculture Market Outlook, By Connectivity (2024-2032) ($MN)
  • Table 27 Global IOT in Agriculture Market Outlook, By Wi-Fi (2024-2032) ($MN)
  • Table 28 Global IOT in Agriculture Market Outlook, By Bluetooth (2024-2032) ($MN)
  • Table 29 Global IOT in Agriculture Market Outlook, By Zigbee (2024-2032) ($MN)
  • Table 30 Global IOT in Agriculture Market Outlook, By LPWAN (2024-2032) ($MN)
  • Table 31 Global IOT in Agriculture Market Outlook, By Satellite (2024-2032) ($MN)
  • Table 32 Global IOT in Agriculture Market Outlook, By Other Connectivities (2024-2032) ($MN)
  • Table 33 Global IOT in Agriculture Market Outlook, By Application (2024-2032) ($MN)
  • Table 34 Global IOT in Agriculture Market Outlook, By Precision Crop Farming (2024-2032) ($MN)
  • Table 35 Global IOT in Agriculture Market Outlook, By Livestock Monitoring and Management (2024-2032) ($MN)
  • Table 36 Global IOT in Agriculture Market Outlook, By Indoor Farming (2024-2032) ($MN)
  • Table 37 Global IOT in Agriculture Market Outlook, By Aquaculture (2024-2032) ($MN)
  • Table 38 Global IOT in Agriculture Market Outlook, By Smart Greenhouse (2024-2032) ($MN)
  • Table 39 Global IOT in Agriculture Market Outlook, By Fish Farm Monitoring (2024-2032) ($MN)
  • Table 40 Global IOT in Agriculture Market Outlook, By Other Applications (2024-2032) ($MN)

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