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農業領域M2M市場按應用、組件、通訊技術、最終用戶和部署類型分類-全球預測(2025-2032年)

Agriculture M2M Market by Application, Component, Communication Technology, End User, Deployment - Global Forecast 2025-2032

出版日期: | 出版商: 360iResearch | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年,農業 M2M 市場將成長至 71.7 億美元,複合年成長率為 8.46%。

關鍵市場統計數據
基準年 2024 37.4億美元
預計年份:2025年 40.5億美元
預測年份 2032 71.7億美元
複合年成長率 (%) 8.46%

這是一份簡明的策略指南,闡述了感測器、連接和分析技術的融合如何重塑農業系統的營運決策。

隨著感測器網路、連接方式和分析平台的融合,農業機器對機器(M2M)生態系統正進入加速成熟階段,為整個生產系統帶來可量化的營運改善。農民、系統整合商和設備製造商正從孤立的試點計畫轉向整合式營運堆疊部署,這些堆疊整合了溫室氣候控制系統、牲畜健康監測器、精準田間感測器和供應鏈溫度追蹤器。因此,決策者不得不權衡日益增多的技術選擇與現實世界的限制,例如傳統設備、分散的互通性標準以及農場間資訊技術能力的差異。

新興趨勢表明,農民正優先考慮高可靠性、低延遲的牲畜和作物健康警報系統,以及能夠減少維護的節能型感測器。同時,軟體和服務正從通用資料儀錶板轉向垂直整合的應用程式,這些應用程式融合了農藝模型、可操作的閾值和自動化控制迴路。這種轉變為供應商帶來了機會和挑戰,他們需要提供安全、擴充性且易於部署的解決方案,以適應農場、溫室和水產養殖設施的營運節奏。

此外,農業數位轉型受到對永續性、可追溯性和韌性的重新關注的驅動。商業買家和監管機構對供應鏈透明度和自主監控的期望日益提高,這使得機器對機器(M2M)技術的應用策略價值超越了日常效率的提升。因此,價值鏈上的領導者必須協調技術選擇、實施策略和供應商夥伴關係,以實現可衡量的改進,同時降低整合風險並確保長期可維護性。

連接架構、硬體模組化和分析主導的服務模式的進步,從根本上改變了農業的營運和商業性模式。

農業機器對機器(M2M)領域正經歷著一場變革性的轉變,其驅動力來自技術進步、資本流動的變化以及監管和永續性期望的轉變。低功率廣域網路(LPWAN)的改進以及4G/5G蜂窩網路的廣泛應用,使得分散式感測器架構成為可能,而這些架構先前由於能源限制或連接性不足而難以實現。隨著這些通訊技術的日趨成熟,混合連接策略正在興起,這些策略結合了蜂窩通訊、LoRaWAN和NB-IoT等LPWAN變體、射頻短程鏈路以及用於遠端覆蓋的衛星通訊,從而能夠跨越不同地理區域進行持續監測。

同時,硬體創新正透過普及功能強大的感測器、整合控制器和模組化致動器來降低整體擁有成本 (TCO),從而簡化現場更換和韌體管理。在軟體方面,分析功能正從說明儀錶板發展到規範性和預測性功能,將天氣、土壤和生物模型與即時遙測數據結合。這項進步使得在最大限度減少人工干預的情況下實施自動化干預(例如精準灌溉和飼料管理)成為可能,同時透過警報和審核追蹤保持監控。

經營模式也在發生變化,供應商提供硬體即服務、基於訂閱的分析以及與農業生產力掛鉤的定價模式,使供應商的獎勵與農業產出掛鉤。這些商業性創新降低了小型營運商的進入門檻,同時也為管理大規模車隊部署的大型公司創造了新的競爭格局。最終,最成功的案例都展現出一種協作式的技術選擇、操作培訓和持續改進方法,以確保技術能力能夠轉化為農場中穩健且可擴展的價值。

預測並管理美國關稅趨勢變化對全球農業機器對機器(M2M)供應鏈的多方面營運和採購影響

2025年美國政策的轉變和貿易行動可能會對全球農業M2M價值鏈產生連鎖反應,其影響將因具體情況而異,且錯綜複雜。關稅變化可能會增加關鍵硬體組件(例如在受影響地區製造或組裝的專用感測器、控制器和通訊模組)的投入成本。為因應此變化,籌資策略可能會做出調整,例如優先選擇製造地更多元化的供應商,或建立庫存緩衝以保護營運免受短期價格波動的影響。這些戰術性措施可能會在短期內造成供應鏈摩擦,因為買家需要重新評估供應商資格並協商新的前置作業時間時間。

除了直接的成本影響外,關稅可能會加速本地化進程,鼓勵本地供應商和組裝抓住成本結構變化帶來的機會。雖然這種本地化能夠增強國內供應商生態系統,減少對遠距物流的依賴,從而保障硬體的持續供應,但也可能增加跨國整合商的複雜性,因為他們必須管理多種認證和合規機制。在受關稅機制影響較小的軟體和服務業,主要影響將體現在部署成本上。更高的硬體採購成本將減緩新部署的速度,這可能會影響供應商的市場進入策略、捆綁銷售策略和資金籌措提案。

在營運方面,更加重視互通性、長壽命設備以及能夠延長設備生命週期的韌體更新機制將產生協同效應。採購和工程部門需要更緊密地合作,設計一條既能保護現有投資又能逐步引入受關稅影響較小的新組件的遷移路徑。最後,情境規劃和合約靈活性(例如替代採購方案和價格調整條款)將是應對關稅帶來的不確定性並保持數位轉型勢頭的關鍵工具。

全面的細分分析展示了應用領域、元件、通訊方式、最終用戶環境和部署選項如何決定解決方案的設計和採用路徑。

針對農業領域機器對機器(M2M)應用,建構一個詳細的細分框架,明確技術能力與商業性優先事項的交集,有助於制定有針對性的產品策略和市場推廣方案。按應用領域進行的市場分析清楚地展現了水產養殖管理、溫室自動化、牲畜監測、精密農業和供應鏈管理之間的差異。水產養殖應用案例著重於飼料管理和水質監測,需要強大的水下或近距離感測技術以及即時警報功能。溫室自動化強調氣候控制以及二氧化碳和濕度監測,以維持植物健康並最佳化生長週期。牲畜監測著重於飼料管理、健康監測和位置追蹤,從而在提高動物福利和勞動效率的同時,提升畜牧效率。精密農業整合了設備追蹤、田間監測、灌溉管理和土壤監測,以實現高空間解析度的農藝措施。供應鏈管理專注於庫存管理和溫度追蹤,以確保從收穫到銷售的品質保證和可追溯性。

將這些應用與組件細分相結合,可以凸顯技術需求和採購優先順序的差異。連接選項涵蓋了通訊網路和低功耗廣域網路 (LPWAN) 的各種變體,以及射頻 (RF) 和衛星鏈路,每種方案在吞吐量、功耗和覆蓋範圍方面各有優劣。硬體配置優先考慮專為農業環境設計的感測器、控制器和致動器,而軟體和服務則涵蓋了分析平台以及系統整合和持續支援所需的專業服務。依通訊通訊進行細分可以進一步凸顯這些差異。蜂窩網路方面,除了傳統的 2G/3G 連接外,還提供 4G/LTE 和新興的 5G 技術。同時,在低功耗和遠距通訊至關重要的場景下,LoRaWAN、NB-IoT 和 Sigfox 等 LPWAN 方法仍然可行。

終端用戶細分能夠識別水產養殖、作物種植、溫室種植和畜牧養殖等不同領域的部署模式。每個設施對延遲、維護窗口和環境耐受性都有不同的接受度。部署模式本身——雲端託管系統、本地平台或結合私有雲端雲和公共雲端的混合模式——會影響資料主權、延遲以及與企業系統的整合。從整體考慮這些細分觀點,供應商和買家可以根據每個農業領域的獨特營運限制和效能預期來客製化解決方案設計。

從區域觀點詳細分析基礎設施發展、法規要求和區域供應鏈將如何影響全球市場中農業M2M解決方案的採用。

區域趨勢正在塑造農業機器對機器(M2M)技術的應用路徑和價值提案,美洲、歐洲、中東和非洲以及亞太地區面臨的戰略機會和營運挑戰差異顯著。在美洲,農場規模的多樣性和先進的機械化水平促進了精密農業和供應鏈管理解決方案的快速普及,而監管機構對可追溯性和永續性的重視則推動了對整合監測系統的需求。同時,歐洲、中東和非洲地區是一個管理體制和氣候帶交錯的複雜區域,溫室自動化和牲畜監測往往受到嚴格的動物福利標準、能源效率要求以及對資源最佳化封閉回路型控制的高度重視的驅動。

亞太地區的農業規模差異顯著,從小型農戶到高度工業化的農業企業,每種規模的農業企業都需要不同的M2M解決方案。在耕作強度高的地區,灌溉管理和土壤監測是提高產量、節省有限水資源的首要任務;而沿海和島嶼經濟體則特別重視水產養殖管理和溫控供應鏈解決方案。在整個亞太地區,基礎設施的可用性,特別是行動電話通訊、低功率廣域網路(LPWAN)的可用性以及可靠雲端服務的可及性,仍然是決定先進技術應用普及速度的關鍵因素。

最終,區域策略應充分考慮當地供應商生態系統、安裝和維護人員的可用性,以及影響資料流和合規性要求的法規結構。因此,跨境整合商應採用靈活的部署方案,以適應不同地區在連接性、硬體可用性和首選經營模式方面的差異,同時投資於本地夥伴關係關係,以加速部署並確保永續營運。

競爭格局評估揭示了硬體創新者、連接供應商、平台供應商和整合商如何塑造價值主張和夥伴關係動態。

深入分析競爭格局,我們可以發現,眾多廠商正致力於建構農業M2M技術堆疊的不同層面,涵蓋感測器OEM廠商、連接服務提供者、平台供應商和系統整合商等。硬體供應商專注於提升產品的穩健性、能源效率和模組化設計,以方便現場服務和無線韌體更新。連接服務提供者則透過廣泛的覆蓋範圍、可靠的服務品質以及統一的管理主機來簡化設備部署和監控,從而實現差異化競爭。平台供應商則日益重視垂直整合的分析功能、特定領域的儀錶板以及API介面,以實現與農場管理系統和第三方應用程式的快速整合。

系統整合商和服務供應商在彌合技術能力與實際應用之間的差距方面發揮關鍵作用,他們提供安裝、校準和農業技術諮詢服務,確保解決方案達到預期效果。策略夥伴關係和通路策略對於擴大應用規模至關重要。大型整合商將專業知識與資金籌措方案結合,以解決小型農場的資本投資限制。同時,新參與企業和Start-Ups正在推動低成本感測器設計、邊緣分析和基於結果的服務模式等創新,挑戰現有的方法。

對供應商而言,成功取決於能否展現出明顯的總體擁有成本 (TCO) 優勢、與通用農業機械和 ERP 系統的互通性以及強大的售後支援。對買家而言,選擇在類似營運環境中擁有可驗證的業績記錄、嚴格的安全和資料管治實踐以及靈活的商業條款的合作夥伴,對於實現其 M2M 投資的永續回報至關重要。

為經營團隊提供切實可行的策略步驟,以協調技術選擇、籌資策略和營運準備,從而最大限度地提高農業領域 M2M 投資的回報。

希望在農業領域利用機器對機器(M2M)技術創造價值的領導者應採取務實的分階段方法,將技術選擇與明確的營運目標和可衡量的關鍵績效指標(KPI)相匹配。首先,設計一個支援逐步互通性,以降低長期整合成本和避免供應商鎖定。

投資於能夠實現混合連接策略的能力至關重要,在適當情況下結合通訊和低功耗廣域網路 (LPWAN),同時利用衛星鏈路為偏遠地區和高價值資產提供連接。這種方法能夠平衡覆蓋範圍、成本和彈性。從商業性角度來看,應考慮靈活的資金籌措模式和即服務 (aaS) 交付選項,以降低准入門檻,並遵守清晰的服務等級協定 (SLA) 和基於結果的指標,從而協調買賣雙方的獎勵。營運準備同樣重要,需要投入資源用於安裝培訓、日常維護程序和變更管理,以推動用戶採用並將數據轉化為可重複的決策工作流程。

最後,將永續性和可追溯性目標融入解決方案設計,以滿足監管要求並獲得下游市場溢價。透過平衡短期營運成果與支援擴充性的長期架構,企業可以降低數位轉型風險,並在整個農業價值鏈中實現效率、品質和韌性的提升。

我們透明嚴謹的研究結合了商業訪談、技術評論和對比案例研究,為提出切實可行的建議奠定了基礎,並減少了偏見。

本分析的調查方法整合了多方面資料輸入和定性見解,旨在建構農業領域機器對機器(M2M)技術應用模式及其策略意義的實證模型。主要研究包括與農民、原始設備製造商(OEM)、連接服務提供者、平台供應商和整合專家進行結構化訪談和研討會,以收集真實的應用案例、挑戰和優先事項。此外,還對產品規格、韌體管理方法和互通性標準進行了技術審查,以檢驗相關論點並評估其在不同農業環境中的實際適用性。

我們的二次分析系統地考察了政策趨勢、基礎設施發展以及主要行業相關人員的公開聲明,以了解宏觀層面的促進因素和限制因素。比較案例研究闡明了不同實施方案在溫室自動化、精密農業和水產養殖等典型環境中的表現。我們的方法優先考慮將定性研究結果和技術評估相結合,從而得出切實可行的建議,並識別需要透過商業性和營運策略來緩解的潛在實施障礙。

在整個研究過程中,我們注重資料管治和資訊來源的檢驗,優先考慮營運商的直接證詞和供應商提供的技術文檔,並透過評估基礎設施成熟度、法規環境和當地供應商生態系統來考慮區域差異,以確保見解植根於不同地域的實際情況。

著眼於未來,從整體角度審視機器對機器(M2M)技術在永續農業中的應用,並專注於實際整合、營運擴充性和風險意識採購。

農業領域的機器對機器(M2M)技術正處於一個關鍵的轉折點,技術能力、商業性試驗和監管預期正在融合,為營運改善和價值鏈韌性創造了意義深遠的機會。隨著感測器價格下降、連接性日益普及以及分析技術更具情境感知能力,成功措施的重點將從技術採購轉向營運整合和持續價值實現。那些能夠將嚴謹的實施藍圖、靈活的採購模式和強大的區域夥伴關係關係相結合的組織,將更有利於最大限度地提高效率,並滿足日益成長的可追溯性和永續性需求。

關鍵挑戰依然存在,包括不同設備之間的互通性、安裝和維護人才的可用性,以及地緣政治和貿易相關因素對硬體供應的影響。然而,透過對設備生命週期管理實踐、混合連接架構和基於情境的籌資策略進行規劃投資,這些挑戰是可以應對的。透過強調模組化、資料管治以及數位化工作流程與農業目標的契合,相關人員可以將試點部署發展成為可複製的項目,從而在生產力、福利和產品品質方面取得可衡量的進步。

簡而言之,未來發展之路需要在技術穩健性和商業性創新之間取得平衡。至關重要的是,技術選擇必須基於營運結果檢驗,並且供應商關係的建構必須能夠支援長期擴充性和持續改進。

目錄

第1章:序言

第2章調查方法

第3章執行摘要

第4章 市場概覽

第5章 市場洞察

  • 引入低功耗廣域網路(LPWAN)連接通訊協定,以增強大型農場的遠端土壤濕度和pH值監測
  • 透過部署人工智慧驅動的預測性維護平台來減少自主農業機械的非計劃性停機時間
  • 在偏遠農業地區部署邊緣運算閘道器可以以最小的延遲處理感測器資料。
  • 將基於區塊鏈的溯源系統與機器對機器(M2M)設備連接起來,以實現高度透明的供應鏈檢驗
  • 將無人機擷取的頻譜影像資料與曳引機搭載的物聯網單元結合,實現害蟲的即時偵測。
  • 透過將灌溉控制M2M系統與即時天氣API連接,實現了動態用水最佳化。
  • 為離網農業區開發用於全年監測的太陽能感測器網路
  • 5G專用網路在智慧農場中高頻寬農業機器人協調與監控方面的擴充性

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:按應用分類的農業M2M市場

  • 水產養殖管理
    • 飼料管理
    • 水質監測
  • 溫室自動化
    • 氣候控制
    • 二氧化碳監測
    • 濕度控制
  • 牲畜監測
    • 飼餵管理
    • 健康監測
    • 位置追蹤
  • 精密農業
    • 裝置追蹤
    • 現場監測
    • 灌溉管理
    • 土壤監測
  • 供應鏈管理
    • 庫存管理
    • 溫度追蹤

第9章 農業M2M市場(依組件分類)

  • 連接性
    • 蜂窩通訊
    • LPWAN
    • RF
    • 衛星通訊
  • 硬體
    • 致動器
    • 控制器
    • 感應器
  • 軟體和服務
    • 服務
    • 軟體

第10章:基於通訊技術的農業M2M市場

  • 細胞
    • 2G/3G
    • 4G/LTE
    • 5G
  • LPWAN
    • LoRaWAN
    • NB-IoT
    • Sigfox
  • RF
  • 衛星通訊

第11章:按最終用戶分類的農業M2M市場

  • 水產養殖場
  • 農作物農場
  • 溫室
  • 畜牧場

第12章:以部署方式分類的農業M2M市場

    • 混合雲端
    • 私有雲端
    • 公共雲端
  • 本地部署

第13章:各區域農業M2M市場

  • 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14章:以群體分類的農業M2M市場

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

第15章 各國農業M2M市場

  • 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16章 競爭格局

  • 2024年市佔率分析
  • FPNV定位矩陣,2024
  • 競爭分析
    • Deere & Company
    • AGCO Corporation
    • CNH Industrial NV
    • Trimble Inc.
    • Topcon Corporation
    • Hexagon AB
    • Kubota Corporation
    • CLAAS KGaA mbH
    • Yanmar Holdings Co., Ltd.
    • Ag Leader Technology, Inc.
Product Code: MRR-DD0700E81DD2

The Agriculture M2M Market is projected to grow by USD 7.17 billion at a CAGR of 8.46% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 3.74 billion
Estimated Year [2025] USD 4.05 billion
Forecast Year [2032] USD 7.17 billion
CAGR (%) 8.46%

A concise strategic orientation on how converging sensor, connectivity, and analytics technologies are reshaping operational decision making across agricultural systems

The agriculture machine-to-machine ecosystem is undergoing a period of accelerated practical maturation as sensor networks, connectivity options, and analytics platforms converge to deliver quantifiable operational improvements across production systems. Farmers, integrators, and equipment manufacturers are moving from isolated pilots toward integrated deployments that connect greenhouse climate control systems, livestock health monitors, precision field sensors, and supply chain temperature trackers into coherent operational stacks. As a result, decision makers must reconcile a growing array of technical choices with real-world constraints such as legacy equipment, fragmented interoperability standards, and varying on-farm IT capabilities.

Emerging patterns show that agricultural operators prioritize reliability, low-latency alerts for animal and crop health, and energy-efficient sensors that reduce maintenance burdens. At the same time, software and services are shifting from generic data dashboards to verticalized applications that embed agronomic models, actionable thresholds, and automated control loops. These shifts create both opportunities and responsibilities for vendors to deliver secure, scalable, and easy-to-deploy solutions that respect the operational rhythms of farms, greenhouses, and aquaculture operations.

In addition, the broader digital transformation of agriculture is being driven by a renewed focus on sustainability, traceability, and resilience. Supply chain transparency and autonomous monitoring are increasingly expected by commercial buyers and regulators alike, elevating the strategic value of M2M deployments beyond routine efficiency gains. Consequently, leaders across the value chain must align technology selection, deployment strategies, and vendor partnerships to achieve measurable improvements while mitigating integration risk and ensuring long-term maintainability.

How advances in connectivity architectures, hardware modularity, and analytics-driven service models are fundamentally altering agricultural operational and commercial paradigms

The landscape of agricultural M2M is experiencing transformative shifts driven by technological advances, shifting capital flows, and changing regulatory and sustainability expectations. Improvements in low-power wide-area networking and the wider availability of 4G/5G cellular options are enabling distributed sensor architectures that were previously impractical due to energy and connectivity constraints. As these communication technologies mature, the balance is moving towards hybrid connectivity strategies that combine cellular, LPWAN variants such as LoRaWAN and NB-IoT, RF short-range links, and satellite for remote coverage, thereby enabling continuous monitoring across diverse geographies.

Simultaneously, hardware innovation is reducing the total cost of ownership through more robust sensors, integrated controllers, and modular actuators that simplify field replacement and firmware management. On the software front, analytics are evolving from descriptive dashboards to prescriptive and predictive capabilities that integrate weather, soil, and biological models with real-time telemetry. This progression allows automated interventions such as precision irrigation and feed management to be executed with minimal human intervention while preserving oversight through alerting and audit trails.

Business models are also shifting as vendors offer Hardware-as-a-Service, subscription-based analytics, and outcome-linked pricing that align vendor incentives with agricultural performance. These commercial innovations lower entry barriers for smaller operators and introduce new dynamics for larger enterprises managing fleet-scale deployments. Ultimately, the most successful initiatives demonstrate a coordinated approach to technology selection, operational training, and continuous improvement, ensuring that technical capability translates into resilient, scalable on-farm value.

Anticipating and managing the multifaceted operational and procurement consequences of changed United States tariff dynamics on global agricultural M2M supply chains

Policy shifts and trade measures originating from the United States in 2025 have the potential to produce cascading effects across global agricultural M2M value chains, with impacts that are nuanced and context dependent. Tariff changes can raise input costs for critical hardware components such as specialized sensors, controllers, and communication modules that are manufactured or assembled in affected jurisdictions. In turn, procurement strategies may adapt by prioritizing suppliers with diversified manufacturing footprints or by increasing inventory buffers to shield operations from short-term price volatility. These tactical responses can create near-term supply chain frictions as buyers requalify vendors and negotiate new lead times.

Beyond direct cost implications, tariffs can accelerate localization efforts, prompting regional suppliers and assemblers to capture opportunities created by shifts in comparative cost structures. This localization can strengthen domestic supplier ecosystems and reduce dependency on long-haul logistics for repeatable hardware deliveries, but it may also increase complexity for multinational integrators that must manage multiple homologation and compliance regimes. For software and services, which are less exposed to tariff mechanics, the principal implications relate to deployment economics; higher hardware acquisition costs can slow the pace of new deployments and thereby influence vendor go-to-market tactics, bundling strategies, and financing offers.

From an operational perspective, the net effect is greater emphasis on interoperability, long-lived equipment designs, and firmware update mechanisms that extend device lifecycles. Procurement and engineering teams will need to collaborate more closely to design migration paths that preserve existing investments while enabling phased adoption of newer, tariff-resilient components. Finally, scenario planning and contractual flexibility-such as options for alternate sourcing and price adjustment clauses-become essential tools to manage tariff-driven uncertainty while maintaining the momentum of digital transformation initiatives.

A comprehensive segmentation analysis showing how application domains, component makeup, communication modalities, end-user contexts, and deployment choices determine solution design and adoption pathways

A nuanced segmentation framework reveals where technical capabilities and commercial priorities intersect across agricultural M2M deployments, informing targeted product strategies and go-to-market approaches. When examining the market by application, clear differentiation emerges between domains such as aquaculture management, greenhouse automation, livestock monitoring, precision farming, and supply chain management. Aquaculture use cases focus heavily on feed management and water quality monitoring, requiring robust underwater or proximate sensing and real-time alerting. Greenhouse automation emphasizes climate control alongside CO2 monitoring and humidity control to preserve plant health and optimize growth cycles. Livestock monitoring centers on feeding management, health monitoring, and location tracking, which together support welfare outcomes and labor efficiency. Precision farming integrates equipment tracking, field monitoring, irrigation management, and soil monitoring to deliver spatially resolved agronomic actions. Supply chain management concentrates on inventory management and temperature tracking to ensure quality and traceability from harvest to market.

Layering component segmentation onto these applications highlights differing technical requirements and procurement priorities. Connectivity choices range from cellular and LPWAN variants to RF and satellite links, each presenting trade-offs across throughput, power consumption, and coverage. Hardware composition prioritizes sensors, controllers, and actuators designed to withstand agricultural environments, while software and services encompass both analytics platforms and professional services needed for system integration and ongoing support. Communication technology segmentation further refines these distinctions: cellular options include legacy 2G/3G pathways as well as 4G/LTE and emerging 5G capabilities, and LPWAN modalities such as LoRaWAN, NB-IoT, and Sigfox remain relevant where low power and long range are priorities.

End-user segmentation clarifies deployment patterns across aquaculture farms, crop farms, greenhouses, and livestock farms, each of which applies different tolerances for latency, maintenance windows, and environmental ruggedness. Deployment modality itself-whether cloud-hosted systems, on-premises platforms, or hybrid approaches including private and public cloud combinations-affects data sovereignty, latency, and integration with enterprise systems. Taken together, these segmentation perspectives enable vendors and buyers to align solution design with the operational constraints and performance expectations specific to each agricultural domain.

An in-depth regional perspective on how infrastructure readiness, regulatory mandates, and local supply chains drive differentiated adoption of agricultural M2M solutions across global markets

Regional dynamics shape the adoption trajectory and value proposition of agricultural M2M technologies, with strategic opportunities and operational frictions varying markedly across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, diverse farm sizes and a high degree of mechanization support rapid uptake of precision farming and supply chain management solutions, while regulatory focus on traceability and sustainability is driving demand for integrated monitoring systems. By contrast, Europe, Middle East & Africa presents a heterogeneous mosaic of regulatory regimes and climate zones where greenhouse automation and livestock monitoring are often driven by stringent animal welfare standards, energy efficiency mandates, and strong interest in closed-loop control for resource optimization.

Asia-Pacific is characterized by a broad spectrum of farming scales, from smallholder plots to highly industrialized agribusinesses, each demanding different packaging of M2M solutions. In densely cultivated regions, irrigation management and soil monitoring are prioritized to maximize yield while conserving scarce water resources, whereas coastal and island economies place a premium on aquaculture management and temperature-controlled supply chain solutions. Across all regions, infrastructure readiness-particularly cellular coverage, LPWAN availability, and access to reliable cloud services-remains a decisive factor in how quickly advanced deployments can be scaled.

Ultimately, regional strategies should account for local vendor ecosystems, labor availability for installation and maintenance, and regulatory frameworks that influence data flows and compliance requirements. Cross-border integrators must therefore adopt flexible deployment blueprints that accommodate regional differences in connectivity, hardware availability, and preferred commercial models, while investing in local partnerships to accelerate adoption and ensure sustainable operations.

A competitive landscape assessment revealing how hardware innovators, connectivity providers, platform vendors, and integrators are shaping value delivery and partnership dynamics

A focused look at the competitive landscape shows a diverse set of players addressing different layers of the agricultural M2M stack, from sensor OEMs and connectivity providers to platform vendors and systems integrators. Hardware suppliers are concentrating on ruggedization, energy efficiency, and modular designs that facilitate field servicing and firmware updates over the air. Connectivity providers are differentiating through coverage footprints, quality-of-service guarantees, and integrated management consoles that simplify device onboarding and monitoring. Platform vendors are increasingly emphasizing verticalized analytics, domain-specific dashboards, and APIs that enable rapid integration with farm management systems and third-party apps.

Systems integrators and service providers play a pivotal role in bridging the gap between technology capability and operational adoption by offering installation, calibration, and agronomic advisory services that ensure solutions deliver expected outcomes. Strategic partnerships and channel strategies are becoming central to scaling deployments, with larger integrators combining domain expertise with financing options to address CAPEX constraints for smaller farms. Meanwhile, newer entrants and startups are pushing innovation on low-cost sensor designs, edge analytics, and outcome-based service models that challenge incumbent approaches.

For vendors, success depends on demonstrating clear total cost-of-ownership advantages, interoperability with common farm equipment and ERP systems, and robust post-sale support. For buyers, choosing partners that can demonstrate verifiable performance in similar operational contexts, provide rigorous security and data governance practices, and offer flexible commercial terms will be critical to achieving sustained benefits from M2M investments.

Actionable and pragmatic strategic steps for executives to align technology selection, procurement strategy, and operational readiness to maximize return on agricultural M2M investments

Leaders seeking to capture value from agricultural M2M should adopt a pragmatic, phased approach that aligns technological choices with clear operational objectives and measurable KPIs. Begin by prioritizing deployments that address acute operational pain points-such as feed wastage in aquaculture, microclimate control in greenhouses, or temperature excursions in the supply chain-while designing data architectures that support incremental expansion and interoperability. Emphasize vendor selections that provide robust device lifecycle management, open APIs, and strong security practices to reduce long-term integration costs and vendor lock-in.

Invest in capabilities that enable hybrid connectivity strategies, combining cellular and LPWAN where appropriate and using satellite links for remote or high-value assets; this approach balances coverage, cost, and resilience. From a commercial perspective, explore flexible financing and as-a-service models to lower upfront barriers to adoption, and insist on clear service-level agreements and outcome-based metrics that align incentives between buyers and suppliers. Operational readiness is equally important: allocate resources for installation training, routine maintenance protocols, and change management to encourage user adoption and to translate data into repeatable decision workflows.

Finally, integrate sustainability and traceability goals into solution design to meet regulatory expectations and to unlock downstream market premiums. By balancing short-term operational wins with a long-term architecture that supports scalability, organizations can de-risk digital transformation efforts and position themselves to capture efficiency, quality, and resilience gains across the agricultural value chain.

A transparent and rigorous research approach combining operator interviews, technical reviews, and comparative case studies to ground actionable recommendations and mitigate bias

The research methodology underpinning this analysis synthesizes multiple data inputs and qualitative insights to construct an evidence-based view of agricultural M2M adoption patterns and strategic implications. Primary research consisted of structured interviews and workshops with farm operators, OEMs, connectivity providers, platform vendors, and integration specialists to capture real-world deployment experiences, pain points, and priorities. These conversations were supplemented by technical reviews of product specifications, firmware management practices, and interoperability standards to validate claims and to assess practical fit across distinct agricultural environments.

Secondary analysis included a systematic review of policy developments, infrastructure rollouts, and public statements from major industry stakeholders to understand macro-level drivers and constraints. Comparative case studies were developed to illustrate how different deployment choices perform in representative contexts such as greenhouse automation, precision farming, and aquaculture operations. The approach prioritized triangulation of qualitative insights with technical assessments to surface actionable recommendations and to identify potential adoption barriers that require mitigation through commercial or operational strategies.

Throughout the research process, attention was paid to data governance and the verifiability of sources, with a preference for direct operator testimony and vendor-provided technical documentation. The methodology also accounted for regional variance by evaluating infrastructure maturity, regulatory contexts, and local supplier ecosystems to ensure that insights are grounded in practical realities across diverse geographies.

A forward-looking synthesis emphasizing pragmatic integration, operational scalability, and risk-aware procurement as the foundation for sustainable agricultural M2M adoption

The agriculture M2M domain is at a critical inflection point where technological capability, commercial experimentation, and regulatory expectations are aligning to create meaningful opportunities for operational improvement and supply chain resilience. As sensors become more affordable, connectivity more ubiquitous, and analytics more context-aware, the focus of successful initiatives will shift from technology procurement to operational integration and sustained value realization. Organizations that pair disciplined deployment roadmaps with flexible procurement models and strong local partnerships will be best positioned to harvest efficiency gains and to meet rising demands for traceability and sustainability.

Key challenges remain, including interoperability across heterogeneous equipment, workforce capacity for installation and maintenance, and exposure to geopolitical and trade-related disruptions that can affect hardware availability. Nevertheless, these challenges are manageable with deliberate investment in device lifecycle practices, hybrid connectivity architectures, and scenario-based procurement strategies. By emphasizing modularity, data governance, and alignment between agronomic objectives and digital workflows, stakeholders can transform pilot deployments into replicable programs that drive measurable improvements in productivity, welfare, and product quality.

In sum, the path forward requires a balanced mix of technical prudence and commercial innovation, ensuring that technology choices are validated against operational outcomes and that vendor relationships are structured to support long-term scalability and continuous improvement.

Table of Contents

1. Preface

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

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Implementation of LPWAN connectivity protocols to enhance remote soil moisture and pH monitoring across large-scale farms
  • 5.2. Adoption of AI-driven predictive maintenance platforms for autonomous agricultural machinery to reduce unplanned downtime
  • 5.3. Deployment of edge computing gateways in remote agricultural zones to process sensor data with minimal latency
  • 5.4. Use of blockchain-based traceability systems linked with M2M devices for transparent supply chain verification
  • 5.5. Integration of drone-based multispectral imaging data with tractor-mounted IoT units for real-time pest detection
  • 5.6. Utilization of real-time weather API integration with irrigation control M2M systems for dynamic water usage optimization
  • 5.7. Development of solar-powered sensor networks to enable year-round monitoring in off-grid farming regions
  • 5.8. Scalability of 5G private networks for high-bandwidth agricultural robotics coordination and monitoring in smart farms

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Agriculture M2M Market, by Application

  • 8.1. Aquaculture Management
    • 8.1.1. Feed Management
    • 8.1.2. Water Quality Monitoring
  • 8.2. Greenhouse Automation
    • 8.2.1. Climate Control
    • 8.2.2. Co2 Monitoring
    • 8.2.3. Humidity Control
  • 8.3. Livestock Monitoring
    • 8.3.1. Feeding Management
    • 8.3.2. Health Monitoring
    • 8.3.3. Location Tracking
  • 8.4. Precision Farming
    • 8.4.1. Equipment Tracking
    • 8.4.2. Field Monitoring
    • 8.4.3. Irrigation Management
    • 8.4.4. Soil Monitoring
  • 8.5. Supply Chain Management
    • 8.5.1. Inventory Management
    • 8.5.2. Temperature Tracking

9. Agriculture M2M Market, by Component

  • 9.1. Connectivity
    • 9.1.1. Cellular
    • 9.1.2. Lpwan
    • 9.1.3. Rf
    • 9.1.4. Satellite
  • 9.2. Hardware
    • 9.2.1. Actuator
    • 9.2.2. Controller
    • 9.2.3. Sensor
  • 9.3. Software & Services
    • 9.3.1. Services
    • 9.3.2. Software

10. Agriculture M2M Market, by Communication Technology

  • 10.1. Cellular
    • 10.1.1. 2G/3G
    • 10.1.2. 4G/Lte
    • 10.1.3. 5G
  • 10.2. Lpwan
    • 10.2.1. Lorawan
    • 10.2.2. Nb-Iot
    • 10.2.3. Sigfox
  • 10.3. Rf
  • 10.4. Satellite

11. Agriculture M2M Market, by End User

  • 11.1. Aquaculture Farm
  • 11.2. Crop Farm
  • 11.3. Greenhouse
  • 11.4. Livestock Farm

12. Agriculture M2M Market, by Deployment

  • 12.1. Cloud
    • 12.1.1. Hybrid Cloud
    • 12.1.2. Private Cloud
    • 12.1.3. Public Cloud
  • 12.2. On-Premises

13. Agriculture M2M Market, by Region

  • 13.1. Americas
    • 13.1.1. North America
    • 13.1.2. Latin America
  • 13.2. Europe, Middle East & Africa
    • 13.2.1. Europe
    • 13.2.2. Middle East
    • 13.2.3. Africa
  • 13.3. Asia-Pacific

14. Agriculture M2M Market, by Group

  • 14.1. ASEAN
  • 14.2. GCC
  • 14.3. European Union
  • 14.4. BRICS
  • 14.5. G7
  • 14.6. NATO

15. Agriculture M2M Market, by Country

  • 15.1. United States
  • 15.2. Canada
  • 15.3. Mexico
  • 15.4. Brazil
  • 15.5. United Kingdom
  • 15.6. Germany
  • 15.7. France
  • 15.8. Russia
  • 15.9. Italy
  • 15.10. Spain
  • 15.11. China
  • 15.12. India
  • 15.13. Japan
  • 15.14. Australia
  • 15.15. South Korea

16. Competitive Landscape

  • 16.1. Market Share Analysis, 2024
  • 16.2. FPNV Positioning Matrix, 2024
  • 16.3. Competitive Analysis
    • 16.3.1. Deere & Company
    • 16.3.2. AGCO Corporation
    • 16.3.3. CNH Industrial N.V.
    • 16.3.4. Trimble Inc.
    • 16.3.5. Topcon Corporation
    • 16.3.6. Hexagon AB
    • 16.3.7. Kubota Corporation
    • 16.3.8. CLAAS KGaA mbH
    • 16.3.9. Yanmar Holdings Co., Ltd.
    • 16.3.10. Ag Leader Technology, Inc.

LIST OF FIGURES

  • FIGURE 1. GLOBAL AGRICULTURE M2M MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL AGRICULTURE M2M MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL AGRICULTURE M2M MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMPONENT, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMMUNICATION TECHNOLOGY, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMMUNICATION TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL AGRICULTURE M2M MARKET SIZE, BY END USER, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL AGRICULTURE M2M MARKET SIZE, BY END USER, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL AGRICULTURE M2M MARKET SIZE, BY DEPLOYMENT, 2024 VS 2032 (%)
  • FIGURE 11. GLOBAL AGRICULTURE M2M MARKET SIZE, BY DEPLOYMENT, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL AGRICULTURE M2M MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. AMERICAS AGRICULTURE M2M MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. NORTH AMERICA AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. LATIN AMERICA AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA AGRICULTURE M2M MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. EUROPE AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. MIDDLE EAST AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. AFRICA AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. ASEAN AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. GCC AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. EUROPEAN UNION AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. BRICS AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. G7 AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. NATO AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 28. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 29. AGRICULTURE M2M MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 30. AGRICULTURE M2M MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. AGRICULTURE M2M MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL AGRICULTURE M2M MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL AGRICULTURE M2M MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL AGRICULTURE M2M MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL AGRICULTURE M2M MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEED MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEED MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEED MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEED MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEED MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEED MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL AGRICULTURE M2M MARKET SIZE, BY WATER QUALITY MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL AGRICULTURE M2M MARKET SIZE, BY WATER QUALITY MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL AGRICULTURE M2M MARKET SIZE, BY WATER QUALITY MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL AGRICULTURE M2M MARKET SIZE, BY WATER QUALITY MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL AGRICULTURE M2M MARKET SIZE, BY WATER QUALITY MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL AGRICULTURE M2M MARKET SIZE, BY WATER QUALITY MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE AUTOMATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLIMATE CONTROL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLIMATE CONTROL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLIMATE CONTROL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLIMATE CONTROL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLIMATE CONTROL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLIMATE CONTROL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CO2 MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CO2 MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CO2 MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CO2 MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CO2 MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CO2 MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HUMIDITY CONTROL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HUMIDITY CONTROL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HUMIDITY CONTROL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HUMIDITY CONTROL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HUMIDITY CONTROL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HUMIDITY CONTROL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEEDING MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEEDING MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEEDING MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEEDING MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEEDING MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FEEDING MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HEALTH MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HEALTH MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HEALTH MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HEALTH MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HEALTH MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HEALTH MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LOCATION TRACKING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LOCATION TRACKING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LOCATION TRACKING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LOCATION TRACKING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LOCATION TRACKING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LOCATION TRACKING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRECISION FARMING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL AGRICULTURE M2M MARKET SIZE, BY EQUIPMENT TRACKING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL AGRICULTURE M2M MARKET SIZE, BY EQUIPMENT TRACKING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL AGRICULTURE M2M MARKET SIZE, BY EQUIPMENT TRACKING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL AGRICULTURE M2M MARKET SIZE, BY EQUIPMENT TRACKING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL AGRICULTURE M2M MARKET SIZE, BY EQUIPMENT TRACKING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL AGRICULTURE M2M MARKET SIZE, BY EQUIPMENT TRACKING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FIELD MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FIELD MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FIELD MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FIELD MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FIELD MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL AGRICULTURE M2M MARKET SIZE, BY FIELD MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL AGRICULTURE M2M MARKET SIZE, BY IRRIGATION MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL AGRICULTURE M2M MARKET SIZE, BY IRRIGATION MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL AGRICULTURE M2M MARKET SIZE, BY IRRIGATION MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL AGRICULTURE M2M MARKET SIZE, BY IRRIGATION MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL AGRICULTURE M2M MARKET SIZE, BY IRRIGATION MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL AGRICULTURE M2M MARKET SIZE, BY IRRIGATION MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOIL MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOIL MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOIL MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOIL MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOIL MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOIL MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL AGRICULTURE M2M MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL AGRICULTURE M2M MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL AGRICULTURE M2M MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL AGRICULTURE M2M MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL AGRICULTURE M2M MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL AGRICULTURE M2M MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL AGRICULTURE M2M MARKET SIZE, BY TEMPERATURE TRACKING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL AGRICULTURE M2M MARKET SIZE, BY TEMPERATURE TRACKING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL AGRICULTURE M2M MARKET SIZE, BY TEMPERATURE TRACKING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL AGRICULTURE M2M MARKET SIZE, BY TEMPERATURE TRACKING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL AGRICULTURE M2M MARKET SIZE, BY TEMPERATURE TRACKING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL AGRICULTURE M2M MARKET SIZE, BY TEMPERATURE TRACKING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONNECTIVITY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HARDWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ACTUATOR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ACTUATOR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ACTUATOR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ACTUATOR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ACTUATOR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ACTUATOR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONTROLLER, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONTROLLER, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONTROLLER, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONTROLLER, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONTROLLER, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CONTROLLER, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SENSOR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SENSOR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SENSOR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SENSOR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SENSOR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SENSOR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE & SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMMUNICATION TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL AGRICULTURE M2M MARKET SIZE, BY COMMUNICATION TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CELLULAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 2G/3G, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 2G/3G, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 2G/3G, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 2G/3G, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 225. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 2G/3G, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 2G/3G, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 227. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 4G/LTE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 4G/LTE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 229. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 4G/LTE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 4G/LTE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 231. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 4G/LTE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 4G/LTE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 233. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 5G, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 5G, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 235. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 5G, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 5G, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 237. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 5G, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 238. GLOBAL AGRICULTURE M2M MARKET SIZE, BY 5G, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 239. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, 2025-2032 (USD MILLION)
  • TABLE 241. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 242. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 243. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 244. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 245. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 246. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LPWAN, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 247. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LORAWAN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 248. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LORAWAN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 249. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LORAWAN, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 250. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LORAWAN, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 251. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LORAWAN, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 252. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LORAWAN, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 253. GLOBAL AGRICULTURE M2M MARKET SIZE, BY NB-IOT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 254. GLOBAL AGRICULTURE M2M MARKET SIZE, BY NB-IOT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 255. GLOBAL AGRICULTURE M2M MARKET SIZE, BY NB-IOT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 256. GLOBAL AGRICULTURE M2M MARKET SIZE, BY NB-IOT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 257. GLOBAL AGRICULTURE M2M MARKET SIZE, BY NB-IOT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 258. GLOBAL AGRICULTURE M2M MARKET SIZE, BY NB-IOT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 259. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SIGFOX, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 260. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SIGFOX, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 261. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SIGFOX, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 262. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SIGFOX, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 263. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SIGFOX, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 264. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SIGFOX, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 265. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 266. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 267. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 268. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 269. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 270. GLOBAL AGRICULTURE M2M MARKET SIZE, BY RF, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 271. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 272. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 273. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 274. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 275. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 276. GLOBAL AGRICULTURE M2M MARKET SIZE, BY SATELLITE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 277. GLOBAL AGRICULTURE M2M MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 278. GLOBAL AGRICULTURE M2M MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 279. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE FARM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 280. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE FARM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 281. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE FARM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 282. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE FARM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 283. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE FARM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 284. GLOBAL AGRICULTURE M2M MARKET SIZE, BY AQUACULTURE FARM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 285. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CROP FARM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 286. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CROP FARM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 287. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CROP FARM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 288. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CROP FARM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 289. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CROP FARM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 290. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CROP FARM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 291. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 292. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 293. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 294. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 295. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 296. GLOBAL AGRICULTURE M2M MARKET SIZE, BY GREENHOUSE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 297. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK FARM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 298. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK FARM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 299. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK FARM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 300. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK FARM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 301. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK FARM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 302. GLOBAL AGRICULTURE M2M MARKET SIZE, BY LIVESTOCK FARM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 303. GLOBAL AGRICULTURE M2M MARKET SIZE, BY DEPLOYMENT, 2018-2024 (USD MILLION)
  • TABLE 304. GLOBAL AGRICULTURE M2M MARKET SIZE, BY DEPLOYMENT, 2025-2032 (USD MILLION)
  • TABLE 305. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, 2018-2024 (USD MILLION)
  • TABLE 306. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, 2025-2032 (USD MILLION)
  • TABLE 307. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 308. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 309. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 310. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 311. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 312. GLOBAL AGRICULTURE M2M MARKET SIZE, BY CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 313. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HYBRID CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 314. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HYBRID CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 315. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HYBRID CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 316. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HYBRID CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 317. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HYBRID CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 318. GLOBAL AGRICULTURE M2M MARKET SIZE, BY HYBRID CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 319. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 320. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 321. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRIVATE CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 322. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRIVATE CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 323. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRIVATE CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 324. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PRIVATE CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 325. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 326. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 327. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PUBLIC CLOUD, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 328. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PUBLIC CLOUD, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 329. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PUBLIC CLOUD, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 330. GLOBAL AGRICULTURE M2M MARKET SIZE, BY PUBLIC CLOUD, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 331. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 332. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ON-PREMISES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 333. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ON-PREMISES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 334. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ON-PREMISES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 335. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ON-PREMISES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 336. GLOBAL AGRICULTURE M2M MARKET SIZE, BY ON-PREMISES, BY COUNTRY, 2025