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到 2030 年農業機對機通訊(M2M) 市場預測：按解決方案類型、農業類型、技術、應用和區域進行的全球分析

Agriculture Machine to Machine (M2M) Market Forecasts to 2030 - Global Analysis By Solution Type (Hardware, Software and Services), Agriculture Type, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2024年全球農業機器對機器通訊（M2M）市場規模將達到38.4億美元，預測期內複合年成長率為10.07%，到2030年將達到68.3億美元。

在無需人工干預的情況下實現農業機器、設備和管理系統之間的自動資料交換是農業機器對機器通訊（M2M）市場的目標。透過即時監測作物健康、土壤狀況、灌溉和牲畜管理，農業中的 M2M 技術利用物聯網感測器、無線連接和資料分析來提高產量。

根據2021年7月10個政府機構聯合公佈的三年計劃，到2023年終，中國5G行動用戶將開拓5.6億，並將高速無線技術在大型企業中的滲透率提高到35%。 %。到2023年終，中國預計5G在私人消費者中的滲透率將達到40%，5G資料將佔所有線上流量的一半以上。

精密農業需求不斷成長

隨著農民尋求資料主導的方法來增加產量和充分利用資源，精密農業正變得越來越受歡迎，並正在推動農場機器對機器通訊(M2M) 市場的發展。 M2M 技術透過即時監測作物健康、土壤狀況和用水情況，支援準確的決策和有效的農場管理。該技術有助於減少廢棄物、降低成本並最大限度地提高產量，所有這些對於滿足不斷成長的糧食需求至關重要。採用支持 M2M 的精密農業系統也有助於減少農藥使用等環境效益。

複雜性和對技術知識的需求

由於其複雜性和技術要求，農業機器對機器通訊（M2M）系統的實施是一個主要障礙，特別是對於不懂技術的農民來說。如果沒有專門的培訓，維護 M2M 系統中的網路感測器、資料分析和即時監控工具是很困難的。他們通常在系統設定、維護和資料解釋方面需要更多幫助。技術要求和學習曲線可能會阻礙小型農場投資 M2M 技術，從而阻礙整體市場擴張。

物聯網和感測器技術的興起

物聯網和感測器技術的發展使農場運作變得更加智慧、高效，這是推動農業機對機通訊(M2M) 市場的關鍵因素。先進的感測器收集有關動物、作物、天氣和土壤濕度的即時資料，並由 M2M 系統使用來實現程式自動化並最大限度地提高資源利用率。這種連接減少了對勞動力的需求，消除了浪費，並提高了產量預測。由於物聯網的不斷改進，農民獲得了更準確的見解，M2M 解決方案變得更加廣泛、高效且對現代農業至關重要。

缺乏標準化

農業 M2M 市場缺乏標準化，特別是在資料整合和設備相容性方面出現了重大困難。每個製造商都使用不同的通訊協定，因此很難讓多個供應商的設備完美地協同工作。這種分段可能會使系統設定變得困難、增加成本並導致效率低下，因為可能需要額外的中間件或客製化解決方案來實現相容性。缺乏標準化框架限制了聯合、資料主導農業的潛力，並阻礙了 M2M 技術在農業中的普遍使用。

COVID-19 的影響

COVID-19 大流行減緩了新技術的採用並擾亂了供應鏈，對農業機對機通訊(M2M) 業務產生了重大影響。由於人員短缺和出行限制，實施對於提高效率和精密農業至關重要的 M2M 解決方案對於許多農業經營者來說一直很困難。但危機使得農業數位轉型的需求更加迫切，促使農民探索自動化和遠端監控技術。隨著該行業適應新的營運現實，這一變化預計將推動 M2M 行業的長期成長。

預計硬體領域將在預測期內成為最大的領域

對精密農業的需求不斷成長，農民能夠透過即時資料分析來最佳化作物產量和資源利用，預計將推動硬體領域的發展。勞動成本的上升正在推動自動化技術的採用，以減少對體力勞動的依賴。此外，感測器技術和連接解決方案的進步提高了工作效率並促進遠端監控。政府推動智慧農業實踐的努力進一步推動了這一成長，使 M2M 解決方案成為現代農業實踐不可或缺的一部分。

精密農業領域預計在預測期內複合年成長率最高

由於感測器技術的發展提供了有關環境變量、作物健康和土壤條件的最新資訊，預計精密農業領域在預測期內將實現最高的複合年成長率。人工智慧和機器學習的結合進一步支持資料主導的決策，以實現快速的作物管理行動。此外，全球糧食需求不斷成長和永續性問題也推動了精密農業技術的使用，以支持高效的農業運作。

比最大的地區

由於人口迅速成長、糧食需求增加以及對環境友善農業方法的認知不斷提高，預計亞太地區將在預測期內佔據最大的市場佔有率。隨著該地區各國政府推動旨在提高生產和資源效率的智慧和精密農業舉措，M2M 的採用正在加速。此外，物聯網和通訊基礎設施的發展使得農業各個方面的即時監控成為可能。

複合年成長率最高的地區

由於技術發展、面對營運成本上升而需要有效的資源管理以及對精密農業的強勁需求，預計北美在預測期內的複合年成長率最高。該地區強大的通訊基礎設施促進了 M2M 解決方案的廣泛使用，以實現資料主導的決策和即時監控。 M2M 投資也得到支持節水和永續農業的政府計畫和獎勵的支持。大型農業技術企業的存在和人手不足的加劇進一步加速了北美農業自動化的採用。

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    • 按產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 介紹
  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球農業機對機通訊(M2M) 市場：依解決方案類型

  • 介紹
  • 硬體
  • 軟體
  • 服務

第 6 章按農業類型分類的全球農業機對通訊(M2M) 市場

  • 介紹
  • 水產養殖
  • 耕地農業
  • 園藝
  • 家畜

第7章全球農業機對機通訊(M2M) 市場：依技術分類

  • 介紹
  • 蜂窩M2M
  • 短距離
  • 衛星M2M
  • 有線
  • 低功率廣域網路
  • 其他

第8章全球農業機對機通訊(M2M) 市場：依應用分類

  • 介紹
  • 精密農業
  • 牲畜監測
  • 水產養殖
  • 智慧溫室
  • 土壤監測
  • 庫存和設備管理
  • 作物監測
  • 遙感探測與成像
  • 供應鍊和物流
  • 其他

第 9 章按地區分類的全球農業機對通訊(M2M) 市場

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東/非洲

第10章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 公司概況

  • John Deere
  • Trimble Inc.
  • AGCO Corporation
  • CNH Industrial
  • Yara International ASA
  • Kubota Corporation
  • Hexagon Agriculture
  • AG Leader Technology
  • Raven Industries
  • Digi International
  • Telit Communications
  • Orange Business Services
  • Vodafone Group Plc
  • Cisco Systems Inc.
  • AT&T Inc.
  • Siemens AG
Product Code: SMRC27658

According to Stratistics MRC, the Global Agriculture Machine to Machine (M2M) Market is accounted for $3.84 billion in 2024 and is expected to reach $6.83 billion by 2030 growing at a CAGR of 10.07% during the forecast period. Enabling automated data interchange between agricultural machinery, devices, and management systems without the need for human interaction is the target of the agriculture machine-to-machine (M2M) market. Through real-time monitoring of crop health, soil conditions, irrigation, and animal management, M2M technology in agriculture increases production by leveraging IoT sensors, wireless connectivity, and data analytics.

According to a three-year plan jointly released by ten government entities in July 2021, China plans to develop 560 million 5G mobile customers by the end of 2023 and increase the penetration rate of fast wireless technology among large industrial firms to 35%. By the end of 2023, China hopes to have reached a 40 percent penetration rate of 5G among individual consumers, with 5G data making up more than half of all online traffic.

Market Dynamics:

Driver:

Growing demand for precision agriculture

Precision farming is becoming more and more popular, which is driving the agriculture machine-to-machine (M2M) market as farmers look for data-driven methods to increase output and maximize resource utilization. M2M technology supports accurate decision-making and effective farm management by enabling real-time monitoring of crop health, soil conditions, and water usage. This technology aids in waste reduction, cost reduction, and yield maximization-all of which are essential for satisfying the growing demand for food. The adoption of M2M-enabled precision agriculture systems is also encouraged by environmental advantages, such as reduced pesticide use.

Restraint:

Complexity and technical knowledge requirement

Adoption of Agriculture Machine-to-Machine (M2M) systems is severely hampered by their complexity and technical requirements, particularly for farmers with limited familiarity with technology. Without specialized training, maintaining networked sensors, data analytics, and real-time monitoring tools can be difficult in M2M systems. Higher operating expenses result from this complexity, which frequently calls for more assistance with system setup, maintenance, and data interpretation. The technological requirements and learning curve may discourage smaller farms from investing in M2M technology, which would impede the expansion of the market as a whole.

Opportunity:

Rise in IoT and sensor technology

Smarter, more effective farm operations are made possible by the growth of IoT and sensor technologies, which is a key factor driving the agriculture machine-to-machine (M2M) market. Real-time data on animals, crops, weather, and soil moisture is collected by sophisticated sensors and used by M2M systems to automate procedures and maximize resource utilization. This connection lowers the need for labour, cuts down on waste, and improves yield forecasts. Farmers are gaining more accurate insights as a result of continuous IoT improvements, which make M2M solutions more widely available, efficient, and crucial to contemporary agriculture.

Threat:

Lack of standardization

Significant difficulties arise from the agriculture machine-to-machine (M2M) market's lack of standardization, especially when it comes to data integration and device compatibility. The employment of different communication protocols by different manufacturers makes it challenging for equipment from several suppliers to function together flawlessly. Due to the possibility of requiring additional middleware or customized solutions for compatibility, this fragmentation can make system setup more difficult, raise costs, and result in inefficiencies. The entire potential of linked, data-driven farming is limited in the absence of standardized frameworks, which impede the general use of M2M technology in agriculture.

Covid-19 Impact

The COVID-19 pandemic had a major impact on the agriculture machine-to-machine (M2M) business by delaying the adoption of new technology and upsetting supply networks. Adoption of M2M solutions, which are essential for efficiency and precision farming, was difficult for many agricultural businesses due to personnel shortages and movement constraints. But the crisis also made the need for digital transformation in agriculture more urgent, leading farmers to investigate automation and remote monitoring technology. As the industry adapts to the new operating realities, this change is anticipated to propel long-term growth in the M2M sector.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is estimated to be the largest, due to increasing demand for precision agriculture enables farmers to optimize crop yields and resource use through real-time data analysis. Rising labour costs push the adoption of automation technologies, reducing dependency on manual labour. Additionally, advancements in sensor technology and connectivity solutions enhance operational efficiency and facilitate remote monitoring. Government initiatives promoting smart farming practices further support this growth, making M2M solutions essential for modern agricultural practices.

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

The precision farming segment is anticipated to witness the highest CAGR during the forecast period, due to the developments in sensor technology, which offer up-to-date information on environmental variables, crop health, and soil conditions. Data-driven decision-making is further supported by the combination of artificial intelligence and machine learning, which enables prompt crop management actions. Additionally, the use of precision farming techniques that support effective agricultural operations is pushed by growing global food demand and sustainability concerns.

Region with largest share:

Asia Pacific is expected to have the largest market share during the forecast period due to rapid population expansion, increased food demand, and growing consciousness of environmentally friendly agricultural methods. M2M adoption is accelerated by the region's governments' backing of smart farming and precision agricultural efforts aimed at increasing production and resource efficiency. Furthermore, real-time monitoring in a variety of agricultural contexts is made possible by developments in IoT and communication infrastructure.

Region with highest CAGR:

North America is projected to witness the highest CAGR over the forecast period, owing to technological developments, the necessity for effective resource management in the face of growing operating expenses, and the strong demand for precision agriculture. The region's robust communication infrastructure facilitates the broad use of M2M solutions, allowing for data-driven decision-making and real-time monitoring. M2M investment is also encouraged by government programs and incentives that support water conservation and sustainable farming. The adoption of automation in North American agriculture is further fuelled by the existence of significant agricultural technology businesses and growing manpower shortages.

Key players in the market

Some of the key players profiled in the Agriculture Machine to Machine (M2M) Market include John Deere, Trimble Inc., AGCO Corporation, CNH Industrial, Yara International ASA, Kubota Corporation, Hexagon Agriculture, AG Leader Technology, Raven Industries, Digi International, Telit Communications, Orange Business Services, Vodafone Group Plc, Cisco Systems Inc., AT&T Inc., Siemens AG.

Key Developments:

In October 2024, John Deere announced an expansion to its Agriculture & Turf training center and field site near Orlando, Florida. This investment advances the company's commitment to customer success through the support of John Deere's world-class dealer channel.

In January 2023, AGCO Autonomous Tractor introduced an autonomous tractor equipped with M2M technology for precision farming applications.

In March 2021, Trimble Ag Software Update launched a cloud-based platform update that enhances data analysis and visualization for precision agriculture.

Solution Types Covered:

  • Hardware
  • Software
  • Services

Agriculture Types Covered:

  • Aquaculture
  • Arable Farming
  • Horticulture
  • Livestock Farming

Technologies Covered:

  • Cellular M2M
  • Short-Range
  • Satellite M2M
  • Wired
  • Low-Power Wide Area Networks
  • Other Technologies

Applications Covered:

  • Precision Farming
  • Livestock Monitoring
  • Fish Farming
  • Smart Greenhouses
  • Soil Monitoring
  • Inventory and Equipment Management
  • Crop Monitoring
  • Remote Sensing & Imaging
  • Supply Chain & Logistics
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Agriculture Machine to Machine (M2M) Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Agriculture Machine to Machine (M2M) Market, By Agriculture Type

  • 6.1 Introduction
  • 6.2 Aquaculture
  • 6.3 Arable Farming
  • 6.4 Horticulture
  • 6.5 Livestock Farming

7 Global Agriculture Machine to Machine (M2M) Market, By Technology

  • 7.1 Introduction
  • 7.2 Cellular M2M
  • 7.3 Short-Range
  • 7.4 Satellite M2M
  • 7.5 Wired
  • 7.6 Low-Power Wide Area Networks
  • 7.7 Other Technologies

8 Global Agriculture Machine to Machine (M2M) Market, By Application

  • 8.1 Introduction
  • 8.2 Precision Farming
  • 8.3 Livestock Monitoring
  • 8.4 Fish Farming
  • 8.5 Smart Greenhouses
  • 8.6 Soil Monitoring
  • 8.7 Inventory and Equipment Management
  • 8.8 Crop Monitoring
  • 8.9 Remote Sensing & Imaging
  • 8.10 Supply Chain & Logistics
  • 8.11 Other Applications

9 Global Agriculture Machine to Machine (M2M) Market, By Geography

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

10 Key Developments

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

11 Company Profiling

  • 11.1 John Deere
  • 11.2 Trimble Inc.
  • 11.3 AGCO Corporation
  • 11.4 CNH Industrial
  • 11.5 Yara International ASA
  • 11.6 Kubota Corporation
  • 11.7 Hexagon Agriculture
  • 11.8 AG Leader Technology
  • 11.9 Raven Industries
  • 11.10 Digi International
  • 11.11 Telit Communications
  • 11.12 Orange Business Services
  • 11.13 Vodafone Group Plc
  • 11.14 Cisco Systems Inc.
  • 11.15 AT&T Inc.
  • 11.16 Siemens AG

List of Tables

  • Table 1 Global Agriculture Machine to Machine (M2M) Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 3 Global Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
  • Table 5 Global Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
  • Table 6 Global Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 7 Global Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 8 Global Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
  • Table 9 Global Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 10 Global Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
  • Table 11 Global Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 12 Global Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
  • Table 13 Global Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
  • Table 14 Global Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
  • Table 15 Global Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
  • Table 16 Global Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
  • Table 17 Global Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 18 Global Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
  • Table 19 Global Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 20 Global Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 21 Global Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 22 Global Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 23 Global Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 24 Global Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
  • Table 25 Global Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 26 Global Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
  • Table 27 Global Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
  • Table 28 Global Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 29 North America Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
  • Table 30 North America Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 31 North America Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 32 North America Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
  • Table 33 North America Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
  • Table 34 North America Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 35 North America Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 36 North America Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
  • Table 37 North America Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 38 North America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
  • Table 39 North America Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 40 North America Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
  • Table 41 North America Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
  • Table 42 North America Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
  • Table 43 North America Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
  • Table 44 North America Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
  • Table 45 North America Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 46 North America Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
  • Table 47 North America Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 48 North America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 49 North America Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 50 North America Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 51 North America Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 52 North America Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
  • Table 53 North America Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 54 North America Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
  • Table 55 North America Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
  • Table 56 North America Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 57 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
  • Table 58 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 59 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 60 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
  • Table 61 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
  • Table 62 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 63 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 64 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
  • Table 65 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 66 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
  • Table 67 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 68 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
  • Table 69 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
  • Table 70 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
  • Table 71 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
  • Table 72 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
  • Table 73 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 74 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
  • Table 75 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 76 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 77 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 78 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 79 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 80 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
  • Table 81 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 82 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
  • Table 83 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
  • Table 84 Europe Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 85 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
  • Table 86 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 87 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 88 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
  • Table 89 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
  • Table 90 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 91 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 92 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
  • Table 93 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 94 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
  • Table 95 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 96 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
  • Table 97 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
  • Table 98 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
  • Table 99 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
  • Table 100 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
  • Table 101 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 102 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
  • Table 103 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 104 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 105 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 106 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 107 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 108 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
  • Table 109 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 110 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
  • Table 111 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
  • Table 112 Asia Pacific Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 113 South America Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
  • Table 114 South America Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 115 South America Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 116 South America Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
  • Table 117 South America Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
  • Table 118 South America Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 119 South America Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 120 South America Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
  • Table 121 South America Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 122 South America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
  • Table 123 South America Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 124 South America Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
  • Table 125 South America Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
  • Table 126 South America Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
  • Table 127 South America Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
  • Table 128 South America Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
  • Table 129 South America Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 130 South America Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
  • Table 131 South America Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 132 South America Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 133 South America Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 134 South America Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 135 South America Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 136 South America Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
  • Table 137 South America Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 138 South America Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
  • Table 139 South America Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
  • Table 140 South America Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 141 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Country (2022-2030) ($MN)
  • Table 142 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 143 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 144 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Software (2022-2030) ($MN)
  • Table 145 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Services (2022-2030) ($MN)
  • Table 146 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Agriculture Type (2022-2030) ($MN)
  • Table 147 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Aquaculture (2022-2030) ($MN)
  • Table 148 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Arable Farming (2022-2030) ($MN)
  • Table 149 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Horticulture (2022-2030) ($MN)
  • Table 150 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Farming (2022-2030) ($MN)
  • Table 151 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 152 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Cellular M2M (2022-2030) ($MN)
  • Table 153 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Short-Range (2022-2030) ($MN)
  • Table 154 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Satellite M2M (2022-2030) ($MN)
  • Table 155 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Wired (2022-2030) ($MN)
  • Table 156 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Low-Power Wide Area Networks (2022-2030) ($MN)
  • Table 157 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 158 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Application (2022-2030) ($MN)
  • Table 159 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Precision Farming (2022-2030) ($MN)
  • Table 160 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 161 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Fish Farming (2022-2030) ($MN)
  • Table 162 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Smart Greenhouses (2022-2030) ($MN)
  • Table 163 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 164 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Inventory and Equipment Management (2022-2030) ($MN)
  • Table 165 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 166 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Remote Sensing & Imaging (2022-2030) ($MN)
  • Table 167 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Supply Chain & Logistics (2022-2030) ($MN)
  • Table 168 Middle East & Africa Agriculture Machine to Machine (M2M) Market Outlook, By Other Applications (2022-2030) ($MN)