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市场调查报告书
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2017632

农业物联网市场：按组件、连接技术和应用划分－2026-2032年全球市场预测

Agriculture IoT Market by Component, Connectivity Technology, Application - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 198 Pages | 商品交期: 最快1-2个工作天内

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预计到 2025 年，农业物联网市场价值将达到 90.2 亿美元，到 2026 年将成长到 95.1 亿美元，到 2032 年将达到 132.5 亿美元，复合年增长率为 5.64%。

主要市场统计数据
基准年 2025 90.2亿美元
预计年份：2026年 95.1亿美元
预测年份 2032 132.5亿美元
复合年增长率 (%) 5.64%

透过协调技术能力、营运重点和可扩展部署的政策考量，我们将建构一个农业物联网应用的策略框架。

随着感测器网路、边缘分析和连接技术的融合，农业系统正在经历一场根本性的变革，重塑生产和供应链。本文概述了物联网解决方案在农业管理整体方面应用的主要驱动因素，并阐述了资料驱动实践如何从先导计画发展成为关键任务工作流程。此外，本文也提出了农产品管理者、技术提供者和相关人员必须应对的策略挑战，以在有效利用物联网生产力的同时管控风险。

新的连接方式、边缘分析和以结果为导向的经营模式正在重新定义农业技术优先事项，并实现扩充性和互通性的实施。

农业技术领域正经历快速变革，感测器成本、边缘运算和连接技术的进步推动着这项变革，并正在改变生产者和服务供应商的营运和经济可行性。新型低功耗广域网路 (LPWAN) 和卫星连接技术使得以往难以触及的农地也能进行遥测。同时，机器学习和设备内分析技术的进步降低了频宽的依赖，并实现了近乎即时的决策。除了这些技术变革之外，经营模式也在不断演变，透过引入基于结果的服务和託管式感测技术，降低了商业营运商的准入门槛。

关税制度变化对农业物联网硬体采购、供应链韧性和部署策略的影响，以及对采购和服务模式的影响。

关税政策和贸易措施将对整个农业物联网生态系统的采购选择、供应链韧性和供应商选择产生重大影响。近期关税调整加剧了硬体组件和子组件的成本波动，迫使采购商和解决方案整合商重新评估筹资策略、库存政策和供应商多元化。为此，一些供应商加快了组装在地化进程，并积极建立策略伙伴关係关係，以降低跨境课税和物流延误带来的风险。

透过深入的细分市场分析，将组件角色、连接权衡和特定应用需求与物联网能够带来最大营运价值的领域连结起来。

对市场区隔的深入理解揭示了技术影响的集中领域以及最终用户最重视的解决方案属性。按组件评估，硬体仍然是关注的焦点，其可靠性和稳健性至关重要；而软体则透过分析、使用者体验和整合能力来区分供应商。服务透过支援部署、调整和持续优化完善了整个流程。随着买家在这些层级之间切换，他们会优先考虑能够降低整合开销并缩短获得营运洞察时间的端到端解决方案。

全球主要市场的区域基础设施、监管重点和农业结构如何塑​​造差异化的进入管道和商业策略。

区域趋势影响农业物联网解决方案的采纳路径、伙伴关係模式和监管考量。在美洲，成熟的商业化农业系统和精密农业技术的广泛应用，推动了对整合硬体和分析平台的需求。同时，大型农场和农业企业更倾向于能够与其现有机械设备和企业资源管理系统整合的解决方案。因此，商业供应商正着力提升解决方案的可扩展性、资料互通性和通路伙伴关係，以实现大规模部署和支援。

硬体、软体和服务供应商之间的竞争和伙伴关係趋势，评估平台开放性、已证实的农艺成果和卓越管道。

农业物联网领域的竞争格局以系统整合商、专业感测器製造商、软体创新者和服务公司合作提供端到端功能为核心。主要企业透过开放的平台、成熟的农化产品模式以及连接技术与田间作业的通路生态系统来脱颖而出。与农机设备製造商和灌溉设备供应商建立策略伙伴关係，可以拓展销售网络；而与农业和科研机构的合作，则能提升信誉度，并巩固农化产品应用效果的基础。

为高阶主管提供可操作的策略重点，以透过结果一致性、模组化架构、供应链弹性和管治措施来加速物联网的采用。

产业领导企业应优先采取一系列切实可行的措施，以加速农业物联网的价值创造，同时降低部署风险。首先，投资必须与明确的营运目标保持一致，例如劳动力替代、投入效率和合规性报告。以可衡量的结果为支撑的投资能够简化供应商选择和绩效评估。其次，采用模组化架构，实现分阶段部署并避免供应商锁定，从而使试点专案能够在无需大规模返工的情况下扩展规模。

为了检验对现场实施的实际意义，我们采用了多方面的研究途径，结合了与主要相关人员的访谈、技术评估和情境分析。

本研究整合了访谈、技术评估和产业文献，建构了农业物联网现况的严谨而全面的视角。主要资讯是透过与技术提供者、系统整合商、农业企业和各领域专家的结构化访谈收集的，旨在了解部署的实际情况、整合挑战以及在实际应用中取得的效益。除上述观点外，本研究还对设备规格、连接性能特征和软体互通性模式进行了技术评估，以评估解决方案在不同应用领域的适用性。

透过结合技术成熟度、营运纪律和区域策略，采取综合方法，实现互联农业的实际效益和永续性。

总之，强大的感测器、先进的分析技术和多样化的连接方式的融合，为农业物联网从实验阶段迈向企业级应用提供了切实可行的路径。最具吸引力的机会在于技术设计和营运规范的融合。具体而言，这包括强大的硬体、可互通的软体、整合农业实践的服务模式以及促进协作的资料管治框架。同样重要的是，要根据关税影响和基础设施实际情况，制定切合实际的筹资策略和区域打入市场策略。

目录

第一章：序言

第二章：调查方法

  • 调查设计
  • 研究框架
  • 市场规模预测
  • 数据三角测量
  • 调查结果
  • 调查的前提
  • 研究限制

第三章执行摘要

  • 首席主管观点
  • 市场规模和成长趋势
  • 2025年市占率分析
  • FPNV定位矩阵，2025
  • 新的商机
  • 下一代经营模式
  • 产业蓝图

第四章 市场概览

  • 产业生态系与价值链分析
  • 波特五力分析
  • PESTEL 分析
  • 市场展望
  • 上市策略

第五章 市场洞察

  • 消费者洞察与终端用户观点
  • 消费者体验基准
  • 机会映射
  • 分销通路分析
  • 价格趋势分析
  • 监理合规和标准框架
  • ESG与永续性分析
  • 中断和风险情景
  • 投资报酬率和成本效益分析

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

第八章：农业物联网市场：依组件划分

  • 硬体
  • 服务
  • 软体

第九章：农业物联网市场：依连接技术划分

  • 细胞
  • 卫星

第十章 农业物联网市场：依应用划分

  • 温室自动化
  • 灌溉管理
  • 牲畜监测
    • 行为监测
    • 健康监测
    • 位置追踪
  • 精密农业
    • 作物巡查
    • 土壤监测

第十一章 农业物联网市集：按地区划分

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十二章：农业物联网市场：依群体划分

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第十三章：农业物联网市场：依国家划分

  • 我们
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十四章 美国农业物联网市场

第十五章 中国农业物联网市场

第十六章 竞争格局

  • 市场集中度分析，2025年
    • 浓度比（CR）
    • 赫芬达尔-赫希曼指数 (HHI)
  • 近期趋势及影响分析，2025 年
  • 2025年产品系列分析
  • 基准分析，2025 年
  • Accenture PLC
  • Ag Leader Technology
  • AGCO Corporation
  • Deere & Company
  • Delaval, Inc.
  • GEA Group AG
  • Hexagon AB
  • Hitachi, Ltd.
  • Raven Industries, Inc.
  • SemiosBIO Technologies Inc.
  • Topcon Positioning Systems, Inc.
  • Trimble Water
  • XAG
Product Code: MRR-031BF22FA1F3

The Agriculture IoT Market was valued at USD 9.02 billion in 2025 and is projected to grow to USD 9.51 billion in 2026, with a CAGR of 5.64%, reaching USD 13.25 billion by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 9.02 billion
Estimated Year [2026] USD 9.51 billion
Forecast Year [2032] USD 13.25 billion
CAGR (%) 5.64%

Framing the strategic context for agriculture IoT adoption by linking technical capabilities with operational priorities and policy considerations for scalable deployment

Agricultural systems are undergoing a fundamental shift as sensor networks, edge analytics, and connectivity converge to reshape production and supply chains. This introduction outlines the forces driving adoption of Internet of Things solutions across farming operations, explaining how data-driven practices are moving from pilot projects to mission-critical workflows. It frames the strategic questions that agribusiness executives, technology providers, and policy stakeholders must answer to harness IoT-enabled productivity while managing risk.

First, the section clarifies the roles of core technology components and service models in delivering measurable outcomes. It explains why hardware resilience, software interoperability, and service-led deployment are essential attributes when designing scalable solutions. Second, it identifies the operational pain points-labor constraints, resource optimization, environmental resilience-that IoT solutions are uniquely positioned to address. Third, it highlights the policy, regulatory, and connectivity factors that shape deployment feasibility across diverse geographies.

Throughout, the narrative emphasizes the need for an integrated approach that aligns farm-level objectives with enterprise strategy. By synthesizing technical capabilities with business imperatives and regulatory realities, this introduction prepares readers to evaluate the subsequent sections with clarity and purpose. It also establishes the analytical lens used across the report: pragmatic value realization grounded in technical feasibility and stakeholder alignment.

How emerging connectivity, edge analytics, and outcome driven business models are realigning agriculture technology priorities and enabling scalable, interoperable implementations

The landscape of agriculture technology is shifting rapidly as advances in sensor cost, edge compute, and connectivity alter what is operationally and economically feasible for growers and service providers. Emerging low-power wide-area network alternatives and satellite connectivity are enabling telemetry from previously inaccessible fields, while improvements in machine learning and on-device analytics reduce bandwidth dependency and enable near real-time decisioning. These technological shifts are complemented by evolving business models in which outcome-based services and managed sensing reduce adoption friction for commercial operators.

Concurrently, supply chain dynamics and labor availability are prompting a reassessment of where automation and remote monitoring deliver the greatest return. Innovators increasingly focus on modular solutions that integrate with legacy machinery and irrigation infrastructure, thereby lowering barriers to adoption. Moreover, the proliferation of standardized APIs and interoperability initiatives facilitates multi-vendor ecosystems, allowing growers to combine best-of-breed sensors, software, and service partners.

Policy and sustainability goals are also shaping the trajectory of innovation. Incentives for water-use efficiency and emissions reduction accelerate demand for telemetry and analytics that quantify environmental performance. In this environment, successful entrants will demonstrate not only technical differentiation but also concrete operational workflows that link data to decisions, ensuring that insights translate into measurable improvements in productivity and sustainability.

Implications of altered tariff regimes on hardware sourcing, supply chain resilience, and deployment strategies that affect procurement and service models in agriculture IoT

Tariff policy and trade measures can materially influence procurement choices, supply chain resilience, and vendor selection across the agriculture IoT ecosystem. Recent tariff shifts introduced greater cost variability for hardware components and subassemblies, prompting buyers and solution integrators to reassess sourcing strategies, inventory policies, and supplier diversification. In response, some providers accelerated localization of assembly and strategic partnerships to mitigate exposure to cross-border levies and logistical delays.

These changes have practical implications for go-to-market planning and deployment timelines. Procurement teams increasingly evaluate total landed cost rather than unit price alone, taking into account lead times, warranty logistics, and spare-parts availability. At the same time, firms with vertically integrated value chains or regional manufacturing presence gained negotiating leverage, enabling them to offer more predictable delivery windows to large-scale agricultural customers.

Beyond procurement, tariff-driven dynamics affected product roadmaps by incentivizing modular designs that simplify on-site repair and component replacement. Consequently, service-led engagements grew in importance as channel partners adapted to extended maintenance roles. In sum, tariff adjustments underline the need for flexible sourcing, regional partner networks, and contractual provisions that manage geopolitical and trade-related risks while maintaining the continuity of field deployments.

Insightful segment level analysis that connects component roles, connectivity trade offs, and application specific requirements to where IoT delivers the most operational value

A granular understanding of market segments illuminates where technological impact concentrates and which solution attributes matter most to end users. When assessed by component, hardware remains a focal point for reliability and ruggedization, while software distinguishes vendors through analytics, user experience, and integration capability; services close the loop by enabling deployment, calibration, and ongoing optimization. Transitioning between these layers, buyers prioritize end-to-end solutions that reduce integration overhead and expedite time to operational insight.

Connectivity choices further shape solution architectures and commercial viability. Cellular connectivity supports high-density telemetry and real-time control in covered regions, whereas satellite connectivity expands reach to remote fields and pastoral operations where terrestrial networks are inconsistent. The delineation between these options informs device design, power budgets, and data management approaches, and therefore influences both capital and operational considerations for adopters.

Application-specific segmentation exposes diverse value pathways. Greenhouse automation demands tight feedback loops and ambient control integration for plant-level microclimates. Irrigation management emphasizes flow metering, soil moisture sensing, and water budgeting aligned with local regulatory frameworks. Livestock monitoring requires multi-modal sensing that addresses behavior monitoring, health monitoring, and location tracking to support welfare and traceability. Precision farming spans crop scouting and soil monitoring, leveraging high-resolution sensors and imagery analytics to optimize inputs and enhance field-level decisioning. Across these applications, interoperability, data provenance, and actionable analytics determine whether deployments translate into repeatable operational gains.

How regional infrastructure, regulatory priorities, and farm structure across major global markets shape differentiated adoption pathways and commercial strategies

Regional dynamics influence adoption pathways, partnership models, and regulatory considerations for agriculture IoT solutions. In the Americas, established commercial agriculture systems and wide adoption of precision practices create demand for integrated hardware and analytics platforms, while large-scale farms and agri-enterprises favor solutions that integrate with existing machinery and enterprise resource systems. Consequently, commercial vendors focus on scalability, data interoperability, and channel partnerships that deliver installation and support at scale.

Europe, Middle East & Africa present a heterogeneous landscape where advanced regulatory frameworks for sustainability coexist with markets constrained by infrastructure gaps. Western European farmers emphasize compliance, traceability, and efficiency, thereby prioritizing analytics that support environmental reporting. In contrast, markets across the Middle East and Africa exhibit strong potential for leapfrogging through satellite-enabled telemetry and low-power sensor deployments, provided that distribution networks and financing mechanisms align to support adoption.

Asia-Pacific combines dense production systems with highly varied farm sizes and crop profiles. In parts of the region, rapid digital adoption and government-backed modernization programs accelerate uptake, while in other jurisdictions fragmented landholdings and irregular connectivity favor lightweight, low-cost sensor solutions and service-led delivery models. Overall, regional go-to-market strategies must reflect local infrastructure realities, regulatory incentives, and the operator profiles that determine willingness to adopt and pay for IoT-enabled capabilities.

Competitive and partnership dynamics that reward platform openness, proven agronomic outcomes, and channel excellence across hardware, software, and service providers

Competitive dynamics in agriculture IoT center on a mix of systems integrators, specialized sensor manufacturers, software innovators, and service firms that collaborate to deliver end-to-end capabilities. Leading companies differentiate through platform openness, validated agronomic models, and channel ecosystems that bridge technology and field operations. Strategic partnerships with equipment OEMs and irrigation providers extend distribution reach, while alliances with agronomy and research institutions strengthen credibility and the evidence base for agronomic outcomes.

Vendor strategies vary across product and service categories. Hardware specialists focus on durability, calibration, and certification for agricultural environments, whereas software firms invest in user experience, API ecosystems, and machine learning models tuned to local crop and soil characteristics. Service providers emphasize installation, calibration, and extension services that translate sensor outputs into actionable workflows for farm managers. Across the industry, interoperability and the ability to support hybrid architectures are decisive competitive factors.

Buyers evaluate vendors not only on technology but also on operational readiness: demonstrated field pilots, maintenance networks, and transparent data governance practices. As a result, companies that combine technical excellence with strong channel execution and clear commercial terms tend to capture early enterprise engagements. Looking forward, differentiation will increasingly arise from the integration of environmental metrics and traceability features that align with buyer sustainability mandates and end-market requirements.

Actionable strategic priorities for executives to accelerate IoT deployment through outcome alignment, modular architectures, supply chain resilience, and governance measures

Industry leaders should prioritize a pragmatic set of actions that accelerate value capture from agriculture IoT while mitigating deployment risks. First, align investments with clearly defined operational objectives such as labor substitution, input efficiency, or compliance reporting; investments anchored to measurable outcomes simplify vendor selection and performance evaluation. Next, adopt modular architectures that permit incremental deployment and avoid vendor lock-in, thereby enabling pilots to scale without extensive rework.

Leaders must also strengthen regional supply chain resilience by diversifying sourcing and creating strategic partnerships with local assemblers or service providers. This action reduces exposure to geopolitical and tariff-driven disruptions and shortens maintenance cycles. Concurrently, invest in connectivity strategies that balance cellular and satellite options according to field topology and data freshness requirements; hybrid approaches often deliver the optimal trade-off between cost and coverage.

Finally, institutionalize data governance and change management. Clear policies on data ownership, sharing, and privacy promote partner collaboration and farmer trust. Complement these policies with training programs that translate analytics into routine decision protocols for field teams. By combining outcome-focused investments, supply chain agility, adaptive connectivity strategies, and robust governance, leaders can accelerate reliable, scalable IoT deployments that deliver tangible operational improvements.

Multi method research approach combining primary stakeholder interviews, technical assessments, and scenario analysis to validate practical implications for field deployments

This research synthesizes primary interviews, technical assessments, and secondary industry literature to construct a rigorous, multi-dimensional view of the agriculture IoT landscape. Primary inputs included structured discussions with technology providers, systems integrators, agricultural operators, and subject matter experts to capture deployment realities, integration challenges, and the practical benefits realized in the field. These perspectives were supplemented by technical evaluations of device specifications, connectivity performance characteristics, and software interoperability patterns to assess solution fit across application domains.

Analytical methods emphasized cross-validation of qualitative insights with observable operational indicators. For example, technology readiness assessments combined vendor-supplied performance specifications with field reports on durability and calibration needs. Connectivity evaluations compared latencies, coverage trade-offs, and typical power budgets for device classes under representative agricultural conditions. Throughout, the research prioritized transparency by documenting assumptions, data sources, and methodological limitations to aid readers in interpreting the findings in context.

Finally, the approach included scenario-based analysis to map how different deployment choices influence operational workflows and total cost of ownership considerations without producing deterministic forecasts. This methodology enables decision-makers to weigh trade-offs and identify the most relevant evidence when planning pilots, selecting vendors, and scaling IoT capabilities across diverse agricultural settings.

Closing synthesis that links technological maturity, operational discipline, and regional strategies to realize the practical benefits and sustainability potential of connected agriculture

In conclusion, the convergence of resilient sensors, advanced analytics, and diversified connectivity options creates a practical pathway for agriculture IoT to move from experiment to enterprise utility. The most compelling opportunities lie where technology design meets operational discipline: rugged hardware, interoperable software, service models that embed agronomic practice, and data governance frameworks that enable collaboration. Equally important are pragmatic procurement strategies and regional go-to-market adaptations that respond to tariff influences and infrastructure realities.

Leaders who succeed will combine clear operational objectives with modular implementation plans that allow for iterative learning and scale. They will also build resilient supply chains and cultivate partnerships that bridge technology with agronomy and extension services. Importantly, investments in training and change management ensure that field personnel translate insights into repeatable actions, thereby converting data into sustained performance gains.

Ultimately, the agriculture IoT ecosystem is maturing toward solutions that deliver verifiable operational value while supporting environmental and traceability objectives. Stakeholders that integrate technical rigor with commercial discipline will be best positioned to realize the efficiency, resilience, and sustainability promises of connected agriculture.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Definition
  • 1.3. Market Segmentation & Coverage
  • 1.4. Years Considered for the Study
  • 1.5. Currency Considered for the Study
  • 1.6. Language Considered for the Study
  • 1.7. Key Stakeholders

2. Research Methodology

  • 2.1. Introduction
  • 2.2. Research Design
    • 2.2.1. Primary Research
    • 2.2.2. Secondary Research
  • 2.3. Research Framework
    • 2.3.1. Qualitative Analysis
    • 2.3.2. Quantitative Analysis
  • 2.4. Market Size Estimation
    • 2.4.1. Top-Down Approach
    • 2.4.2. Bottom-Up Approach
  • 2.5. Data Triangulation
  • 2.6. Research Outcomes
  • 2.7. Research Assumptions
  • 2.8. Research Limitations

3. Executive Summary

  • 3.1. Introduction
  • 3.2. CXO Perspective
  • 3.3. Market Size & Growth Trends
  • 3.4. Market Share Analysis, 2025
  • 3.5. FPNV Positioning Matrix, 2025
  • 3.6. New Revenue Opportunities
  • 3.7. Next-Generation Business Models
  • 3.8. Industry Roadmap

4. Market Overview

  • 4.1. Introduction
  • 4.2. Industry Ecosystem & Value Chain Analysis
    • 4.2.1. Supply-Side Analysis
    • 4.2.2. Demand-Side Analysis
    • 4.2.3. Stakeholder Analysis
  • 4.3. Porter's Five Forces Analysis
  • 4.4. PESTLE Analysis
  • 4.5. Market Outlook
    • 4.5.1. Near-Term Market Outlook (0-2 Years)
    • 4.5.2. Medium-Term Market Outlook (3-5 Years)
    • 4.5.3. Long-Term Market Outlook (5-10 Years)
  • 4.6. Go-to-Market Strategy

5. Market Insights

  • 5.1. Consumer Insights & End-User Perspective
  • 5.2. Consumer Experience Benchmarking
  • 5.3. Opportunity Mapping
  • 5.4. Distribution Channel Analysis
  • 5.5. Pricing Trend Analysis
  • 5.6. Regulatory Compliance & Standards Framework
  • 5.7. ESG & Sustainability Analysis
  • 5.8. Disruption & Risk Scenarios
  • 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Agriculture IoT Market, by Component

  • 8.1. Hardware
  • 8.2. Services
  • 8.3. Software

9. Agriculture IoT Market, by Connectivity Technology

  • 9.1. Cellular
  • 9.2. Satellite

10. Agriculture IoT Market, by Application

  • 10.1. Greenhouse Automation
  • 10.2. Irrigation Management
  • 10.3. Livestock Monitoring
    • 10.3.1. Behavior Monitoring
    • 10.3.2. Health Monitoring
    • 10.3.3. Location Tracking
  • 10.4. Precision Farming
    • 10.4.1. Crop Scouting
    • 10.4.2. Soil Monitoring

11. Agriculture IoT Market, by Region

  • 11.1. Americas
    • 11.1.1. North America
    • 11.1.2. Latin America
  • 11.2. Europe, Middle East & Africa
    • 11.2.1. Europe
    • 11.2.2. Middle East
    • 11.2.3. Africa
  • 11.3. Asia-Pacific

12. Agriculture IoT Market, by Group

  • 12.1. ASEAN
  • 12.2. GCC
  • 12.3. European Union
  • 12.4. BRICS
  • 12.5. G7
  • 12.6. NATO

13. Agriculture IoT Market, by Country

  • 13.1. United States
  • 13.2. Canada
  • 13.3. Mexico
  • 13.4. Brazil
  • 13.5. United Kingdom
  • 13.6. Germany
  • 13.7. France
  • 13.8. Russia
  • 13.9. Italy
  • 13.10. Spain
  • 13.11. China
  • 13.12. India
  • 13.13. Japan
  • 13.14. Australia
  • 13.15. South Korea

14. United States Agriculture IoT Market

15. China Agriculture IoT Market

16. Competitive Landscape

  • 16.1. Market Concentration Analysis, 2025
    • 16.1.1. Concentration Ratio (CR)
    • 16.1.2. Herfindahl Hirschman Index (HHI)
  • 16.2. Recent Developments & Impact Analysis, 2025
  • 16.3. Product Portfolio Analysis, 2025
  • 16.4. Benchmarking Analysis, 2025
  • 16.5. Accenture PLC
  • 16.6. Ag Leader Technology
  • 16.7. AGCO Corporation
  • 16.8. Deere & Company
  • 16.9. Delaval, Inc.
  • 16.10. GEA Group AG
  • 16.11. Hexagon AB
  • 16.12. Hitachi, Ltd.
  • 16.13. Raven Industries, Inc.
  • 16.14. SemiosBIO Technologies Inc.
  • 16.15. Topcon Positioning Systems, Inc.
  • 16.16. Trimble Water
  • 16.17. XAG

LIST OF FIGURES

  • FIGURE 1. GLOBAL AGRICULTURE IOT MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL AGRICULTURE IOT MARKET SHARE, BY KEY PLAYER, 2025
  • FIGURE 3. GLOBAL AGRICULTURE IOT MARKET, FPNV POSITIONING MATRIX, 2025
  • FIGURE 4. GLOBAL AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 5. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 7. GLOBAL AGRICULTURE IOT MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL AGRICULTURE IOT MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 9. GLOBAL AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 10. UNITED STATES AGRICULTURE IOT MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 11. CHINA AGRICULTURE IOT MARKET SIZE, 2018-2032 (USD MILLION)

LIST OF TABLES

  • TABLE 1. GLOBAL AGRICULTURE IOT MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 2. GLOBAL AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL AGRICULTURE IOT MARKET SIZE, BY HARDWARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL AGRICULTURE IOT MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL AGRICULTURE IOT MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SERVICES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SERVICES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CELLULAR, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CELLULAR, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CELLULAR, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SATELLITE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SATELLITE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SATELLITE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL AGRICULTURE IOT MARKET SIZE, BY GREENHOUSE AUTOMATION, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL AGRICULTURE IOT MARKET SIZE, BY GREENHOUSE AUTOMATION, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL AGRICULTURE IOT MARKET SIZE, BY GREENHOUSE AUTOMATION, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL AGRICULTURE IOT MARKET SIZE, BY IRRIGATION MANAGEMENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL AGRICULTURE IOT MARKET SIZE, BY IRRIGATION MANAGEMENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL AGRICULTURE IOT MARKET SIZE, BY IRRIGATION MANAGEMENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL AGRICULTURE IOT MARKET SIZE, BY BEHAVIOR MONITORING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL AGRICULTURE IOT MARKET SIZE, BY BEHAVIOR MONITORING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL AGRICULTURE IOT MARKET SIZE, BY BEHAVIOR MONITORING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 33. GLOBAL AGRICULTURE IOT MARKET SIZE, BY HEALTH MONITORING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 34. GLOBAL AGRICULTURE IOT MARKET SIZE, BY HEALTH MONITORING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 35. GLOBAL AGRICULTURE IOT MARKET SIZE, BY HEALTH MONITORING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 36. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LOCATION TRACKING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 37. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LOCATION TRACKING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 38. GLOBAL AGRICULTURE IOT MARKET SIZE, BY LOCATION TRACKING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 39. GLOBAL AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 40. GLOBAL AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 41. GLOBAL AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 42. GLOBAL AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 43. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CROP SCOUTING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 44. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CROP SCOUTING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 45. GLOBAL AGRICULTURE IOT MARKET SIZE, BY CROP SCOUTING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 46. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SOIL MONITORING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 47. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SOIL MONITORING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 48. GLOBAL AGRICULTURE IOT MARKET SIZE, BY SOIL MONITORING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 49. GLOBAL AGRICULTURE IOT MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 50. AMERICAS AGRICULTURE IOT MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 51. AMERICAS AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 52. AMERICAS AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 53. AMERICAS AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 54. AMERICAS AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 55. AMERICAS AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 56. NORTH AMERICA AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 57. NORTH AMERICA AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 58. NORTH AMERICA AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 59. NORTH AMERICA AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 60. NORTH AMERICA AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 61. NORTH AMERICA AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 62. LATIN AMERICA AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 63. LATIN AMERICA AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 64. LATIN AMERICA AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 65. LATIN AMERICA AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 66. LATIN AMERICA AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 67. LATIN AMERICA AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 68. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE IOT MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 69. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 70. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 71. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 72. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 73. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 74. EUROPE AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 75. EUROPE AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 76. EUROPE AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 77. EUROPE AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 78. EUROPE AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 79. EUROPE AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 80. MIDDLE EAST AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 81. MIDDLE EAST AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 82. MIDDLE EAST AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 83. MIDDLE EAST AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 84. MIDDLE EAST AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 85. MIDDLE EAST AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 86. AFRICA AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 87. AFRICA AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 88. AFRICA AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 89. AFRICA AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 90. AFRICA AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 91. AFRICA AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 92. ASIA-PACIFIC AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 93. ASIA-PACIFIC AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 94. ASIA-PACIFIC AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 95. ASIA-PACIFIC AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 96. ASIA-PACIFIC AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 97. ASIA-PACIFIC AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 98. GLOBAL AGRICULTURE IOT MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 99. ASEAN AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 100. ASEAN AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 101. ASEAN AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 102. ASEAN AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 103. ASEAN AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 104. ASEAN AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 105. GCC AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 106. GCC AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 107. GCC AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 108. GCC AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 109. GCC AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 110. GCC AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 111. EUROPEAN UNION AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 112. EUROPEAN UNION AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 113. EUROPEAN UNION AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 114. EUROPEAN UNION AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 115. EUROPEAN UNION AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 116. EUROPEAN UNION AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 117. BRICS AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 118. BRICS AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 119. BRICS AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 120. BRICS AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 121. BRICS AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 122. BRICS AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 123. G7 AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 124. G7 AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 125. G7 AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 126. G7 AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 127. G7 AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 128. G7 AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 129. NATO AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 130. NATO AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 131. NATO AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 132. NATO AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 133. NATO AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 134. NATO AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 135. GLOBAL AGRICULTURE IOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 136. UNITED STATES AGRICULTURE IOT MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 137. UNITED STATES AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 138. UNITED STATES AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 139. UNITED STATES AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 140. UNITED STATES AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 141. UNITED STATES AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)
  • TABLE 142. CHINA AGRICULTURE IOT MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 143. CHINA AGRICULTURE IOT MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 144. CHINA AGRICULTURE IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2032 (USD MILLION)
  • TABLE 145. CHINA AGRICULTURE IOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 146. CHINA AGRICULTURE IOT MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2032 (USD MILLION)
  • TABLE 147. CHINA AGRICULTURE IOT MARKET SIZE, BY PRECISION FARMING, 2018-2032 (USD MILLION)