查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1880506

智慧农业的物联网感测器网路市场预测（至2032年）：按感测器类型、连接方式、应用、最终用户和地区分類的全球分析

IoT Sensor Networks for Smart Farming Market Forecasts to 2032 - Global Analysis By Sensor Type (Soil Sensors, Climate Sensors, Crop Sensors and Other Sensor Types), Connectivity, Application, End User 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 的研究，预计 2025 年全球智慧农业物联网感测器网路市场规模将达到 86 亿美元，到 2032 年将达到 229 亿美元，预测期内复合年增长率为 15%。

智慧农业物联网感测器网路是由感测器、设备和通讯技术组成的互联繫统，旨在监测和优化农业生产过程。这些网路即时收集土壤湿度、温度、湿度、养分含量、作物健康状况和牲畜状况等数据。收集到的数据被送到集中式平台进行分析，从而实现灌溉、施肥、病虫害防治和产量管理方面的精准决策。透过自动化监测和提供可操作的洞察，物联网感测器网路能够提高效率、减少资源浪费并改善作物品质和产量——这是现代、永续和数据驱动型农业实践的核心要素。

精密农业解决方案的需求日益增长

农民正在部署连网感测器，以精确监测土壤湿度、养分含量、作物健康状况和灌溉效率。这些网路能够实现即时数据采集和预测分析，从而提高产量并减少资源浪费。人工智慧、云端运算和边缘设备的进步正在提升物联网感测器的分析能力。各国政府和农业相关企业正在推广基于感测器的精密农业，以增强粮食安全和永续性。人们对气候变迁的日益关注进一步凸显了基于物联网的监测的重要性，并加速了其应用。

农民缺乏技术专长

许多小规模农户缺乏解读感测器数据并将其应用于日常耕作的培训。复杂的安装和维护要求阻碍了农村地区的普及。相关机构在提供足够的培训和支援方面也面临挑战。对外部顾问的高度依赖增加了成本，并降低了农民独立使用的信心。因此，这些因素持续阻碍数位农业工具的广泛市场应用。

对高效率资源管理的需求日益增长

农民越来越依赖连网感测器来优化用水、施肥和病虫害防治。平台正在将物联网数据与预测模型相结合，以降低投入成本并提高永续性。云端基础的解决方案透过减少基础设施障碍，改善了小规模农户的农业生产体验。农业技术Start-Ups正在根据当地农业条件客製化物联网感测器网络，并扩大其应用范围。全球对智慧农业投资的不断增长正在加速创新和应用。

资料安全和隐私问题

农民和机构日益担忧敏感农业资料遭到未授权存取。骇客攻击和资料外洩等网路安全风险削弱了人们对互联平台的信任。对云端储存的依赖引发了人们对资料所有权和遵守当地法规的担忧。资料处理流程缺乏透明度削弱了相关人员的信任。监管机构对物联网主导的农业决策中的问责制提出了课责。因此，这些因素阻碍了市场建立完全信任。

新冠疫情的感染疾病：

新冠疫情推动了市场蓬勃发展。疫情扰乱了传统的供应链，加速了农业数位化转型。封锁措施凸显了远端监控和物联网分析对于维持农业生产的重要性。感测器网路透过扩展基础设施和为农民提供行动优先解决方案来应对这一需求。世界各国政府大力推动数位农业计划，以确保危机期间的粮食安全。即使在疫情结束后，结合实地经验和物联网洞察的混合模式依然保持着强劲的发展势头。此次危机使物联网感测器网路成为提升农业韧性的主流工具，并将其融入长期农业倡议中。

预计在预测期内，作物感测器细分市场将占据最大的市场份额。

由于土壤湿度感测器、养分监测器和作物健康追踪器等能够提供即时资讯以支持精密农业的应用日益普及，预计作物感测器领域将在预测期内占据最大的市场份额。农民正在扩大作物感测器的应用范围，以降低投入成本并提高产量预测的准确性。物联网连接技术的进步和感测器小型化使得作物感测器更加经济实惠且易于取得。农业相关企业正在将作物感测器整合到其智慧农业平台中，以提高永续性和盈利。政府和非政府组织正透过补贴和宣传活动推广基于感测器的农业，进一步推动其应用。

预计大型商业农场领域在预测期内将实现最高的复合年增长率。

由于对物联网基础设施、高级分析和自动化技术的投入不断增加，以支持大规模精密农业运营，预计大型商业农场领域在预测期内将实现最高增长率。商业农场正在部署感测器网络，以有效管理大面积土地并减少资源浪费。物联网感测器与无人机和卫星影像的整合正在提高扩充性和准确性。对出口级农产品需求的成长正在推动先进监测系统的应用。农业相关企业正在将物联网感测器网路整合到其企业平台中，以提高生产力和盈利。

占比最大的地区：

在预测期内，北美预计将巩固其长期领先地位，并保持最大的市场份额，这得益于其先进的数位基础设施、对精密农业的大力机构投资以及农民对物联网感测器益处的高度认知。美国和加拿大主导物联网感测器技术的应用，将其融入主流农业实践。大学和农业相关企业正将感测器网路应用于研究和商业运营，以提高产量。创业投资正在加速全部区域农业科技Start-Ups的创新。农民对数位化工具的投资意愿也巩固了主导地位。

年复合成长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于快速的都市化以及小规模农户对价格合理的物联网感测器平台日益增长的需求，这将扩大物联网在各个农业领域的应用。中国、印度、日本和韩国等国家正透过国家级数位农业计画推动物联网的普及。中产阶级收入的成长和行动网路普及率的提高也推动了对价格合理的感测器解决方案的需求。本地Start-Ups和全球公司正在拓展其以行动优先的物联网服务，以满足该地区的农业需求。各机构也越来越多地采用将物联网洞察与传统方法结合的混合模式。东南亚电子商务的蓬勃发展正在创造新的机会，并进一步推动动物联网感测器整合的发展。

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
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算、预测和复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要企业的产品系列、地理覆盖范围和策略联盟基准化分析

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
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

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. 全球智慧农业物联网感测器网路市场（按感测器类型划分）

  • 介绍
  • 土壤感测器
  • 气候感测器
  • 作物感测器
  • 牲畜感测器
  • 水资源管理感测器
  • 其他感测器类型

6. 全球物联网感测器网路在智慧农业市场的连结性

  • 介绍
  • 有线感测器网络
  • 无线感测器网路
  • 混合系统
  • 卫星连线
  • 其他连接方式

7. 全球物联网感测器网路市场在智慧农业领域的应用

  • 介绍
  • 精准作物监测
  • 灌溉和水资源管理
  • 肥料和养分优化
  • 病虫害防治
  • 牲畜监测
  • 其他用途

第八章 全球物联网感测器网路市场：智慧农业的最终用户

  • 介绍
  • 大型商业农场
  • 中型农场
  • 小规模农场
  • 研究和政府机构
  • 其他最终用户

9. 全球智慧农业物联网感测器网路市场（按地区划分）

  • 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
  • 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
    • 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

第十章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • Bosch
  • Cisco Systems
  • IBM
  • Siemens
  • Huawei Technologies
  • Schneider Electric
  • Pessl Instruments
  • Libelium
  • Sentek Technologies
  • CropX Technologies
  • Arable Labs
  • Prospera Technologies
  • Taranis
  • Farmers Edge
Product Code: SMRC32508

According to Stratistics MRC, the Global IoT Sensor Networks for Smart Farming Market is accounted for $8.6 billion in 2025 and is expected to reach $22.9 billion by 2032 growing at a CAGR of 15% during the forecast period. IoT sensor networks for smart farming refer to interconnected systems of sensors, devices, and communication technologies designed to monitor and optimize agricultural processes. These networks collect real-time data on soil moisture, temperature, humidity, nutrient levels, crop health, and livestock conditions. The data is transmitted to centralized platforms for analysis, enabling precise decision-making in irrigation, fertilization, pest control, and yield management. By automating monitoring and providing actionable insights, IoT sensor networks enhance efficiency, reduce resource wastage, and improve crop quality and productivity. They form a core component of modern, sustainable, and data-driven agriculture practices.

Market Dynamics:

Driver:

Rising demand for precision agriculture solutions

Farmers are deploying connected sensors to monitor soil moisture, nutrient levels, crop health, and irrigation efficiency with accuracy. These networks enable real-time data collection and predictive analytics that improve yields and reduce resource wastage. Advances in AI, cloud computing, and edge devices are enhancing the analytical capabilities of IoT sensors. Governments and agribusinesses are promoting sensor-based precision agriculture to strengthen food security and sustainability. Rising awareness of climate variability is reinforcing the importance of IoT-enabled monitoring, thereby accelerating adoption.

Restraint:

Limited technical expertise among farmers

Many smallholder farmers lack the training to interpret sensor data and integrate insights into daily operations. Complex installation and maintenance requirements discourage adoption in rural regions. Institutions face challenges in providing adequate training and support for digital agriculture tools. High dependence on external consultants increases costs and reduces confidence in independent usage. Therefore, this continues to hinder the market from achieving mass adoption.

Opportunity:

Growing need for efficient resource management

Farmers are increasingly relying on connected sensors to optimize water usage, fertilizer application, and pest control. Platforms are integrating IoT data with predictive models to reduce input costs and improve sustainability. Cloud-based solutions are enhancing accessibility for smallholder farmers by lowering infrastructure barriers. Agritech startups are tailoring IoT sensor networks to local farming conditions, thereby expanding reach. Rising global investments in smart farming are accelerating innovation and adoption.

Threat:

Data security and privacy concerns

Farmers and institutions are increasingly worried about unauthorized access to sensitive farm data. Cybersecurity risks such as hacking and data breaches undermine trust in connected platforms. Dependence on cloud storage raises concerns about data ownership and compliance with local regulations. Limited transparency in data handling processes weakens confidence among stakeholders. Regulatory bodies are raising questions about accountability in IoT-driven farming decisions. Therefore, this hampers the market from achieving full credibility.

Covid-19 Impact:

The market experienced a surge due to Covid-19, which disrupted traditional supply chains and accelerated digital adoption in agriculture. Lockdowns highlighted the need for remote monitoring and IoT-enabled analytics to sustain farming operations. Sensor networks responded by scaling infrastructure and offering mobile-first solutions for farmers. Governments promoted digital agriculture initiatives to ensure food security during the crisis. Post-pandemic, hybrid models combining field expertise with IoT insights are sustaining momentum. The crisis normalized IoT sensor networks as mainstream tools for resilience, thereby embedding them into long-term agricultural strategies.

The crop sensors segment is expected to be the largest during the forecast period

The crop sensors segment is expected to account for the largest market share during the forecast period due to rising adoption of soil moisture sensors, nutrient monitors, and crop health trackers that provide real-time insights for precision farming. Farmers are increasingly deploying crop sensors to reduce input costs and improve yield predictability. Advances in IoT connectivity and sensor miniaturization are making crop sensors more affordable and accessible. Agribusinesses are embedding crop sensors into smart farming platforms to enhance sustainability and profitability. Governments and NGOs are promoting sensor-based agriculture through subsidies and awareness programs, thereby reinforcing adoption.

The large-scale commercial farms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the large-scale commercial farms segment is predicted to witness the highest growth rate owing to increasing investments in IoT infrastructure, advanced analytics, and automation that support large-scale precision farming operations. Commercial farms are adopting sensor networks to manage vast acreage efficiently and reduce resource wastage. Integration of IoT sensors with drones and satellite imaging is enhancing scalability and accuracy. Rising demand for export-quality crops is reinforcing adoption of advanced monitoring systems. Agribusinesses are embedding IoT sensor networks into enterprise platforms to improve productivity and profitability.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to advanced digital infrastructure, strong institutional investments in precision agriculture, and high farmer awareness of IoT sensor benefits that reinforce long-term leadership. The U.S. and Canada are leading adoption through integration of IoT sensors into mainstream farming practices. Universities and agribusinesses are embedding sensor networks into research and commercial operations to improve yields. Venture capital funding is accelerating innovation in agritech startups across the region. High farmer willingness to invest in digital tools reinforces market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid urbanization and rising smallholder demand for affordable IoT sensor platforms that expand access across diverse agricultural segments. Countries such as China, India, Japan, and South Korea are driving adoption through national digital agriculture programs. Rising middle-class incomes and mobile penetration are expanding demand for affordable sensor solutions. Local startups and global players are scaling mobile-first IoT services tailored to regional farming needs. Institutions are increasingly adopting hybrid models that combine IoT insights with traditional practices. E-commerce growth in Southeast Asia is creating new opportunities for IoT sensor integration, thereby reinforcing momentum.

Key players in the market

Some of the key players in IoT Sensor Networks for Smart Farming Market include Bosch, Cisco Systems, IBM, Siemens, Huawei Technologies, Schneider Electric, Pessl Instruments, Libelium, Sentek Technologies, CropX Technologies, Arable Labs, Prospera Technologies, Taranis and Farmers Edge.

Key Developments:

In April 2024, IBM Consulting partnered with SAP to help agricultural chemical companies develop sustainable product portfolios. This initiative utilizes IoT sensor data from farms, integrated with SAP's systems and analyzed using IBM's AI, to track the environmental impact of agrochemicals.

In June 2023, Bosch BASF Smart Farming deepened its collaboration with agricultural giant John Deere, focusing on data-driven crop management. This partnership enhances the xarvio(R) Digital Farming Platform by enabling direct data exchange with John Deere's Operations Center.

Sensor Types Covered:

  • Soil Sensors
  • Climate Sensors
  • Crop Sensors
  • Livestock Sensors
  • Water Management Sensors
  • Other Sensor Types

Connectivities Covered:

  • Wired Sensor Networks
  • Wireless Sensor Networks
  • Hybrid Systems
  • Satellite Connectivity
  • Other Connectivities

Applications Covered:

  • Precision Crop Monitoring
  • Irrigation & Water Management
  • Fertilizer & Nutrient Optimization
  • Pest & Disease Management
  • Livestock Monitoring
  • Other Applications

End Users Covered:

  • Large-Scale Commercial Farms
  • Medium Farms
  • Smallholder Farms
  • Research Institutions & Government Agencies
  • Other End Users

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 End User 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 IoT Sensor Networks for Smart Farming Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 Soil Sensors
  • 5.3 Climate Sensors
  • 5.4 Crop Sensors
  • 5.5 Livestock Sensors
  • 5.6 Water Management Sensors
  • 5.7 Other Sensor Types

6 Global IoT Sensor Networks for Smart Farming Market, By Connectivity

  • 6.1 Introduction
  • 6.2 Wired Sensor Networks
  • 6.3 Wireless Sensor Networks
  • 6.4 Hybrid Systems
  • 6.5 Satellite Connectivity
  • 6.6 Other Connectivities

7 Global IoT Sensor Networks for Smart Farming Market, By Application

  • 7.1 Introduction
  • 7.2 Precision Crop Monitoring
  • 7.3 Irrigation & Water Management
  • 7.4 Fertilizer & Nutrient Optimization
  • 7.5 Pest & Disease Management
  • 7.6 Livestock Monitoring
  • 7.7 Other Applications

8 Global IoT Sensor Networks for Smart Farming Market, By End User

  • 8.1 Introduction
  • 8.2 Large-Scale Commercial Farms
  • 8.3 Medium Farms
  • 8.4 Smallholder Farms
  • 8.5 Research Institutions & Government Agencies
  • 8.6 Other End Users

9 Global IoT Sensor Networks for Smart Farming Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Bosch
  • 11.2 Cisco Systems
  • 11.3 IBM
  • 11.4 Siemens
  • 11.5 Huawei Technologies
  • 11.6 Schneider Electric
  • 11.7 Pessl Instruments
  • 11.8 Libelium
  • 11.9 Sentek Technologies
  • 11.10 CropX Technologies
  • 11.11 Arable Labs
  • 11.12 Prospera Technologies
  • 11.13 Taranis
  • 11.14 Farmers Edge

List of Tables

  • Table 1 Global IoT Sensor Networks for Smart Farming Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global IoT Sensor Networks for Smart Farming Market Outlook, By Sensor Type (2024-2032) ($MN)
  • Table 3 Global IoT Sensor Networks for Smart Farming Market Outlook, By Soil Sensors (2024-2032) ($MN)
  • Table 4 Global IoT Sensor Networks for Smart Farming Market Outlook, By Climate Sensors (2024-2032) ($MN)
  • Table 5 Global IoT Sensor Networks for Smart Farming Market Outlook, By Crop Sensors (2024-2032) ($MN)
  • Table 6 Global IoT Sensor Networks for Smart Farming Market Outlook, By Livestock Sensors (2024-2032) ($MN)
  • Table 7 Global IoT Sensor Networks for Smart Farming Market Outlook, By Water Management Sensors (2024-2032) ($MN)
  • Table 8 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other Sensor Types (2024-2032) ($MN)
  • Table 9 Global IoT Sensor Networks for Smart Farming Market Outlook, By Connectivity (2024-2032) ($MN)
  • Table 10 Global IoT Sensor Networks for Smart Farming Market Outlook, By Wired Sensor Networks (2024-2032) ($MN)
  • Table 11 Global IoT Sensor Networks for Smart Farming Market Outlook, By Wireless Sensor Networks (2024-2032) ($MN)
  • Table 12 Global IoT Sensor Networks for Smart Farming Market Outlook, By Hybrid Systems (2024-2032) ($MN)
  • Table 13 Global IoT Sensor Networks for Smart Farming Market Outlook, By Satellite Connectivity (2024-2032) ($MN)
  • Table 14 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other Connectivities (2024-2032) ($MN)
  • Table 15 Global IoT Sensor Networks for Smart Farming Market Outlook, By Application (2024-2032) ($MN)
  • Table 16 Global IoT Sensor Networks for Smart Farming Market Outlook, By Precision Crop Monitoring (2024-2032) ($MN)
  • Table 17 Global IoT Sensor Networks for Smart Farming Market Outlook, By Irrigation & Water Management (2024-2032) ($MN)
  • Table 18 Global IoT Sensor Networks for Smart Farming Market Outlook, By Fertilizer & Nutrient Optimization (2024-2032) ($MN)
  • Table 19 Global IoT Sensor Networks for Smart Farming Market Outlook, By Pest & Disease Management (2024-2032) ($MN)
  • Table 20 Global IoT Sensor Networks for Smart Farming Market Outlook, By Livestock Monitoring (2024-2032) ($MN)
  • Table 21 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 22 Global IoT Sensor Networks for Smart Farming Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global IoT Sensor Networks for Smart Farming Market Outlook, By Large-Scale Commercial Farms (2024-2032) ($MN)
  • Table 24 Global IoT Sensor Networks for Smart Farming Market Outlook, By Medium Farms (2024-2032) ($MN)
  • Table 25 Global IoT Sensor Networks for Smart Farming Market Outlook, By Smallholder Farms (2024-2032) ($MN)
  • Table 26 Global IoT Sensor Networks for Smart Farming Market Outlook, By Research Institutions & Government Agencies (2024-2032) ($MN)
  • Table 27 Global IoT Sensor Networks for Smart Farming Market Outlook, By Other End Users (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.