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市場調查報告書
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2017632

農業物聯網市場：按組件、連接技術和應用分類－2026-2032年全球市場預測

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個工作天內

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預計到 2025 年，農業物聯網市場價值將達到 90.2 億美元，到 2026 年將成長到 95.1 億美元，到 2032 年將達到 132.5 億美元，複合年成長率為 5.64%。

主要市場統計數據
基準年 2025 90.2億美元
預計年份：2026年 95.1億美元
預測年份 2032 132.5億美元
複合年成長率 (%) 5.64%

透過協調技術能力、營運重點和可擴展部署的政策考量，我們將建構一個農業物聯網應用的策略框架。

隨著感測器網路、邊緣分析和連接技術的融合，農業系統正在經歷一場根本性的變革，重塑生產和供應鏈。本文概述了物聯網解決方案在農業管理整體方面應用的主要促進因素，並闡述了資料驅動實踐如何從先導計畫發展成為關鍵任務工作流程。此外，本文也提出了農產品管理者、技術提供者和相關人員必須應對的策略挑戰，以在有效利用物聯網生產力的同時管控風險。

新的連接方式、邊緣分析和以結果為導向的經營模式正在重新定義農業技術優先事項，並實現擴充性和互通性的實施。

農業技術領域正經歷快速變革，感測器成本、邊緣運算和連接技術的進步推動著這項變革，並正在改變生產者和服務供應商的營運和經濟可行性。新型低功耗廣域網路 (LPWAN) 和衛星連接技術使得以往難以觸及的農地也能進行遙測。同時，機器學習和設備內分析技術的進步降低了頻寬的依賴，並實現了近乎即時的決策。除了這些技術變革之外，經營模式也在不斷演變，透過引入基於結果的服務和託管式感測技術，降低了商業營運商的准入門檻。

關稅制度變化對農業物聯網硬體採購、供應鏈韌性和部署策略的影響，以及對採購和服務模式的影響。

關稅政策和貿易措施將對整個農業物聯網生態系統的採購選擇、供應鏈韌性和供應商選擇產生重大影響。近期關稅調整加劇了硬體組件和子組件的成本波動，迫使採購商和解決方案整合商重新評估籌資策略、庫存政策和供應商多元化。為此，一些供應商加快了組裝在地化進程，並積極建立策略夥伴關係關係，以降低跨境課稅和物流延誤帶來的風險。

透過深入的細分市場分析，將組件角色、連接權衡和特定應用需求與物聯網能夠帶來最大營運價值的領域連結起來。

對市場區隔的深入理解揭示了技術影響的集中領域以及最終用戶最重視的解決方案屬性。按組件評估，硬體仍然是關注的焦點，其可靠性和穩健性至關重要；而軟體則透過分析、使用者體驗和整合能力來區分供應商。服務透過支援部署、調整和持續最佳化完善了整個流程。隨著買家在這些層級之間切換，他們會優先考慮能夠降低整合開銷並縮短獲得營運洞察時間的端到端解決方案。

全球主要市場的區域基礎設施、監管重點和農業結構如何塑​​造差異化的進入管道和商業策略。

區域趨勢影響農業物聯網解決方案的採納路徑、夥伴關係模式和監管考量。在美洲，成熟的商業化農業系統和精密農業技術的廣泛應用，推動了對整合硬體和分析平台的需求。同時，大型農場和農業企業更傾向於能夠與其現有機械設備和企業資源管理系統整合的解決方案。因此，商業供應商正著力提升解決方案的可擴展性、資料互通性和通路夥伴關係，以實現大規模部署和支援。

硬體、軟體和服務供應商之間的競爭和夥伴關係趨勢，評估平台開放性、已證實的農藝成果和卓越管道。

農業物聯網領域的競爭格局以系統整合商、專業感測器製造商、軟體創新者和服務公司合作提供端到端功能為核心。主要企業透過開放的平台、成熟的農化產品模式以及連接技術與田間作業的通路生態系統來脫穎而出。與農機設備製造商和灌溉設備供應商建立策略夥伴關係，可以拓展銷售網路；而與農業和科研機構的合作，則能提升信譽度，並鞏固農化產品應用效果的基礎。

為高階主管提供可操作的策略重點，以透過結果一致性、模組化架構、供應鏈彈性和管治措施來加速物聯網的採用。

產業領導企業應優先採取一系列切實可行的措施，以加速農業物聯網的價值創造，同時降低部署風險。首先，投資必須與明確的營運目標保持一致，例如勞動力替代、投入效率和合規性報告。以可衡量的結果為支撐的投資能夠簡化供應商選擇和績效評估。其次，採用模組化架構，實現分階段部署並避免供應商鎖定，從而使試點專案能夠在無需大規模返工的情況下擴展規模。

為了檢驗對現場實施的實際意義，我們採用了多方面的研究途徑，結合了與主要相關人員的訪談、技術評估和情境分析。

本研究整合了訪談、技術評估和產業文獻，建構了農業物聯網現況的嚴謹而全面的視角。主要資訊是透過與技術提供者、系統整合商、農業企業和各領域專家的結構化訪談收集的，旨在了解部署的實際情況、整合挑戰以及在實際應用中取得的效益。除上述觀點外，本研究還對設備規格、連接性能特徵和軟體互通性模式進行了技術評估，以評估解決方案在不同應用領域的適用性。

透過結合技術成熟度、營運紀律和區域策略，採取綜合方法，實現互聯農業的實際效益和永續性。

總之，強大的感測器、先進的分析技術和多樣化的連接方式的融合，為農業物聯網從實驗階段邁向企業級應用提供了切實可行的路徑。最具吸引力的機會在於技術設計和營運規範的融合。具體而言，這包括強大的硬體、可互通的軟體、整合農業實踐的服務模式以及促進協作的資料管治框架。同樣重要的是，要根據關稅影響和基礎設施實際情況，制定切合實際的籌資策略和區域打入市場策略。

目錄

第1章：序言

第2章：調查方法

  • 調查設計
  • 研究框架
  • 市場規模預測
  • 數據三角測量
  • 調查結果
  • 調查的前提
  • 研究限制

第3章執行摘要

  • 首席主管觀點
  • 市場規模和成長趨勢
  • 2025年市佔率分析
  • FPNV定位矩陣，2025
  • 新的商機
  • 下一代經營模式
  • 產業藍圖

第4章 市場概覽

  • 產業生態系與價值鏈分析
  • 波特五力分析
  • PESTEL 分析
  • 市場展望
  • 上市策略

第5章 市場洞察

  • 消費者洞察與終端用戶觀點
  • 消費者體驗基準
  • 機會映射
  • 分銷通路分析
  • 價格趨勢分析
  • 監理合規和標準框架
  • ESG與永續性分析
  • 中斷和風險情景
  • 投資報酬率和成本效益分析

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

第8章：農業物聯網市場：依組件分類

  • 硬體
  • 服務
  • 軟體

第9章：農業物聯網市場：依連接技術分類

  • 細胞
  • 衛星

第10章 農業物聯網市場：依應用分類

  • 溫室自動化
  • 灌溉管理
  • 牲畜監測
    • 行為監測
    • 健康監測
    • 位置追蹤
  • 精密農業
    • 作物巡查
    • 土壤監測

第11章 農業物聯網市集：按地區分類

  • 北美洲和南美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第12章：農業物聯網市場：依群體分類

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

第13章：農業物聯網市場：依國家分類

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第14章 美國農業物聯網市場

第15章 中國農業物聯網市場

第16章 競爭格局

  • 市場集中度分析，2025年
    • 濃度比（CR）
    • 赫芬達爾-赫希曼指數 (HHI)
  • 近期趨勢及影響分析，2025 年
  • 2025年產品系列分析
  • 基準分析，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)