查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
2030 年數位農業市場預測 - 按類型、技術、營運、公司類型、用途和地區進行的全球分析
市場調查報告書
商品編碼
1324209

2030 年數位農業市場預測 - 按類型、技術、營運、公司類型、用途和地區進行的全球分析

Digital Agriculture Market Forecasts to 2030 - Global Analysis By Type, Technology, Operation, Company Type, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC的數據，2023年全球數位農業市場規模為181.1億美元，預計預測期內年複合成長率為12.5%，到2030年將達到413億美元。

農民正在使用數位農業工具來即時監測作物生長。例如，放置在農田中用於記錄溫度和土壤品質的感測器、氣候田野視圖等電腦程序、用於創建耕種和產量地圖的工具以及其他類似程序。通過提供培訓、金融和法律服務，數位技術在農業中的使用促進了相關人員之間的資訊交流，並促進與供應商和員工建立戰略聯盟。

根據聯合國糧農組織的資料，水稻、小麥、大麥和玉米等主要穀物產量大幅下降，其中小麥從2019年的41,079汞/公頃下降至2020年的40,708汞/公頃，而大麥和其他作物也出現了類似的下降趨勢。粗粒。

市場動態：

提高生產力和改善作物健康的壓力

農民始終面臨著使用更少農藥生產更多糧食和飼料的壓力。我們必須使用更少的能源和勞動力，並改善環境土地和水管理。人口快速成長導致養活不斷成長的人口出現困難，因此需要增加農業生產。所有這些需求都可以使用物聯網 (IoT) 設備和軟體來滿足，例如精密農業。因此，MapShots、AgDNA、AgroSense等精密農業工具的使用將有助於提高作物產量、改善土壤品質，並刺激全球對數位農業的需求。

自主農業設備初始成本較高

自動化農業設備比傳統農業設備昂貴得多。正如現代汽車高昂的維護成本限制了小農戶對智慧數位農業技術的使用一樣。這些車輛中的鏡頭、感測器、軟體和硬體的維護成本限制了市場的擴張。對於農民來說，投資自動化和技術先進的車輛對於提高農業產量和利潤很重要，但進行大量初始投資很困難。印度、巴西和中國等國家的農民面臨著智慧農業技術高昂初始成本的課題。

擴大人工智慧和物聯網技術的使用

人工智慧和機器學習正在迅速融入農業設備和田間作業中。認知計算因其提高生產力並幫助人們學習、理解和應對各種情況的能力而在各行各業越來越受歡迎。聊天機器人和其他對話平台等解決方案即服務可以幫助農民跟上最新的技術進步。同樣，物聯網解決方案支持水和電等自然資源的有效利用。物聯網設備採用光、濕度和溫度等各種感測器來追蹤作物健康和土壤濕度。

人們越來越關注資料管理

做出更明智的農場決策和加強農場營運取決於資料管理。資訊以原始形式收集，根據上下文、相關性和優先級進行處理，並以有助於決策的形式呈現。管理資料是農民和數位農業其他市場參與企業必須解決的關鍵問題。收集的資訊至關重要，因為它可以讓農民和價值鏈中的其他參與者做出明智的選擇。然而，許多農民和生產者不知道如何有效地利用資料進行決策。因此，為農民和生產者提供正確的資料管理工具和策略至關重要。

COVID-19 的影響

COVID-19大流行期間，對農民工和農村工人流動的限制導致大範圍的禁閉、旅行限制和進出口活動暫停，導致勞動力嚴重短缺，世界各地的農作物生產受到不利影響。受新冠肺炎 (COVID-19) 疫情影響，運輸限制和不利的貿易影響導致農業機械銷量下降。農機業務分銷網路受到影響，智慧農機銷售受阻。

人工智慧行業預計將在預測期內成為最大的行業

由於利用人工智慧、雲、物聯網和分析的農業設備的快速發展，人工智慧領域預計將出現良好的成長。公司正在開發尖端的人工智慧系統，用於識別天氣、土壤健康、作物健康、雜草和害蟲。例如，Plantix是一款基於人工智慧的工具，由德國科技公司PEAT開發。通過識別土壤養分缺乏、病蟲害，該軟體可以幫助農民施用正確的肥料並提高產量。同樣，人工智慧驅動的無人機、機器人和應用程式預計將加速農業技術的應用。

作物管理行業預計在預測期內年複合成長率最高

預計作物管理行業在預測期內將以最高的年複合成長率成長。這是因為土壤退化、水資源短缺和農作物歉收的風險增加，對產量監測、土壤和肥料管理以及智慧灌溉系統的需求不斷增加。同樣，智慧農業技術可以幫助農民了解天氣模式並選擇適合氣候的作物。因此，世界上最容易發生乾旱的國家預計將在未來幾年採用天氣預報技術。這些因素預計將加速數位農業產業的擴張。

佔比最大的地區

由於中國農業行業智慧農業技術使用的革命性轉變，預計亞太地區在預測期內將佔據最大的市場佔有率。物聯網 (IoT) 蜂窩設備、基於齒輪感測器的灌溉和施肥設備以及閥門位置感測器等基於感測器的技術對於該領域來說仍然相對較新，但隨著農民開發出更先進的農業技術。感測器最近有所增加，主要是由於機械化率的提高。從多個資訊來源收集資料並將其輸入機器學習 (ML) 和人工智慧 (AI) 算法以提供精確和個體化指導的先進功能正在推動該地區的市場成長。我就是。

複合年複合成長率最高的地區

預計北美在預測期內的年複合成長率最高。這是因為北美正在主導全球數位農業市場，各國政府正在加緊努力採用最新的農業技術，而且基礎設施也很完善。主要參與者的存在也將推動該地區數位農業市場在預測期內蓬勃發展。因此，技術先進的農業設備的不斷增加以及政府對高科技公司組建的支持力度不斷加大，正在推動北美地區的數位農業產業發展。

免費客製化服務：

訂閱此報告的客戶將收到以下免費客製化選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（注：基於可行性檢查）
  • 競爭標杆管理
    • 根據產品系列、地域分佈和戰略聯盟對主要企業進行基準測試

目錄

第1章 執行摘要

第2章 前言

  • 執行摘要
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 資料挖掘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 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

  • 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 數位農業全球市場：按類型

  • 軟體
    • 本地
    • 在雲端
    • 人工智慧/資料分析
  • 服務
    • 管理服務
    • 助理專業服務
    • 連接服務
    • 系統整合與諮詢
    • 維護與支持服務
  • 硬體
    • 自動化與控制系統
      • 灌溉控制器
      • 無人機/無人機 (UAV)
      • 收割機和轉運機
      • 全球定位系統 (GPS)/全球導航衛星系統 (GNSS)
      • LED栽培燈
      • 制導和轉向系統
      • 流量和應用控制裝置
      • 展示
      • 暖通空調系統
      • 機器人硬體
      • 手持移動設備/手持電腦
      • 其他自動化和控制系統
    • 感測和監控設備
      • 氣候感測器
      • 水感測器
      • 土壤感測器
      • 電導率 (EC) 感測器
      • 溫度/環境監測感測器
      • 智慧溫室感測器
    • 其他感測和監控設備
  • 其他類型

第6章 數位農業全球市場：按技術分類

  • 作物監測
    • 引導系統
    • 可變利率技術
    • 遙感
  • 人工智慧
  • 精密農業
  • 周邊技術
    • 應用程式
    • 平台
  • 核心技術
    • 機器人技術
    • 無人機
    • 自動化
  • 其他技術

第7章 數位農業全球市場：按營運分類

  • 監控與偵察
  • 行銷與需求創造
  • 農業和飼養
    • 精準畜牧/飼餵
    • 精準水產養殖
    • 精密農業
    • 智慧溫室
    • 精準林業
  • 其他職責

第8章 全球數位農業市場：按公司類型

  • 1-55 級
  • 2-20 級
  • 3-25 級

第9章 數位農業全球市場：按用途

  • 土壤監測
  • 現場測繪
  • 產量監控
  • 可變利率申請
  • 作物偵察
  • 無人機分析
  • 農場庫存管理
  • 作物管理
  • 人力資源管理
  • 財務管理
  • 天氣追蹤和預報
  • 其他用途

第10章 數位農業全球市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 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
    • 其他中東和非洲

第11章進展

  • 契約、夥伴關係、聯盟和合資企業
  • 收購和合併
  • 新產品上市
  • 業務擴展
  • 其他關鍵策略

第12章公司簡介

  • IBM Corporation
  • Accenture
  • CISCO Systems, Inc
  • Trimble INC.
  • Hexagon AB
  • Bayer Cropscience AG
  • Vodafone Group PLC.
  • Deere & Company
  • DeLaval
  • Raven Industries
  • PrecisionHawk
  • Agricultural Consulting Services
  • Eurofins Scientific
  • Epicor Software Corporation
  • Gamaya
  • Arable
  • AKVA Group
  • TELUS Agriculture
Product Code: SMRC23487

According to Stratistics MRC, the Global Digital Agriculture Market is accounted for $18.11 billion in 2023 and is expected to reach $41.30 billion by 2030 growing at a CAGR of 12.5% during the forecast period. In order to monitor the growth of crops in real time, farmers are using digital agriculture tools, such as sensors that are placed on the fields and record the temperature and soil quality, computer programmes like Climate Field view, a tool designed to produce farming maps and yield maps, and other similar programmes. By enabling access to training, financial services, and legal services, the use of digital technology in agriculture promotes the exchange of information between stakeholders and facilitates the building of strategic alliances between suppliers and employees.

According to the FAO data, the yield for major cereal crops like rice, wheat, barley, corn, and other grains reduced considerably from 41,079 hg/ha in 2019 to 40,708 hg/ha in 2020 for wheat; a similar reduced trend for barley and other coarse grains was observed.

Market Dynamics:

Driver:

Pressure to increase productivity and enhance crop health

Farmers are under continual pressure to produce more food and animal feed while using fewer pesticides. Less energy and labour must also be used, and environmental land and water management must be improved. Increasing agricultural production is under pressure as a result of the population's fast growth and the resulting difficulty in feeding the rising population. All of these needs may be satisfied by using Internet of Things (IoT) equipment and software like precision farming. Thus, the usage of precision farming tools like MapShots, AgDNA, AgroSense, and others will aid in boosting crop yield, improve soil quality, and stimulate global demand for digital agriculture.

Restraint:

High initial cost for autonomous farming equipments

Automated agricultural equipment is substantially more expensive than conventional farming equipment. Similar to how high maintenance costs for modern cars limit the use of smart digital agricultural techniques by small farms. The cost of maintaining these vehicles' cameras, sensors, software, and hardware restrains market expansion. It is important for farmers to invest in automated and technologically advanced vehicles to boost agricultural output and earnings, but it is challenging for them to make a larger initial investment. Farmers in nations like India, Brazil, and China have challenges due to the high initial cost of smart agricultural technologies.

Opportunity:

Increased use of AI and IoT technologies

Artificial intelligence and machine learning are being quickly incorporated into farming equipment and field practises. With its ability to improve productivity and aid in learning, understanding, and responding to various circumstances, cognitive computing is gaining popularity across the industry. The solutions as a service, such chatbots and other conversational platforms, assist the farmers in keeping up with the most recent technological advancements. Similar to this, IoT solutions support the effective use of natural resources like water, power, and others. The IoT devices employ a variety of sensors, including light, humidity, temperature, and others, to track the health of the crops and the wetness of the soil.

Threat:

Escalating concerns about data management

Making wise judgements about farm management and enhancing farm operations depend on data management. The information is gathered in a raw format, processed according to context, relevance, and priority, and then presented in a way that allows for decision-making. The management of data is a significant issue that farmers and other market participants in digital agriculture must deal with. The information gathered is essential because it enables farmers and other participants in the value chain to choose wisely. Many farmers and producers are not aware of how data may be used effectively for decision-making. Consequently, it is crucial to give farmers and producers the right data management tools and strategies.

COVID-19 Impact:

Due to the COVID-19 pandemic's widespread lockdown, travel restrictions, and suspension of import and export activities due to the restricted movement of migrant workers and rural labourers during the pandemic, there was a severe labour shortage that adversely affected crop production around the world. Sales of agricultural equipment have decreased as a result of the COVID-19 epidemic due to constrained shipments and unfavourable transactional consequences. The distribution network for the agricultural equipment business was impacted, which hindered the sales of intelligent farming equipment.

The artificial intelligence segment is expected to be the largest during the forecast period

The artificial intelligence segment is estimated to have a lucrative growth, due to the expansion driven by the quick development of agricultural equipment using AI, cloud, IoT, and analytics. Businesses are developing cutting-edge AI-enabled systems to identify the weather, soil health, crop health, weeds, and pests. For instance, Plantix, an AI-based tool, was created by PEAT, a technology firm with headquarters in Germany. This software helps farmers apply the proper fertilisers to increase yield by identifying nutrient deficits, pests, and illnesses in the soil. Similarly, it is projected that AI-based drones, robots, and apps would accelerate the use of technology in farming.

The crop management segment is expected to have the highest CAGR during the forecast period

The crop management segment is anticipated to witness the highest CAGR growth during the forecast period, due to there is a requirement for yield monitoring, soil and fertiliser management, and intelligent irrigation systems due to increasing soil degradation, water scarcity, and rising crop failure risk. Similar to this, smart farming technologies assist farmers in understanding weather patterns so they can choose the appropriate crops for the climate. The most drought-prone nations in the world are thus anticipated to implement weather forecasting technologies in the upcoming years. These elements are anticipated to accelerate the expansion of the digital farming industry.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to a revolutionary shift in the use of smart farming techniques in the Chinese agriculture industry. Although sensor-based technologies, such as Internet of Things (IoT) cellular devices, gear tooth sensor-based irrigation and fertilisation equipment, and valve position sensors, among others, are still relatively new in the field, the nation has recently seen a rise in the demand for sensors, largely as a result of the farmers' adoption of more sophisticated agricultural techniques and a higher rate of mechanisation. The sophisticated features gather data from multiple sources, put it into machine learning (ML) and artificial intelligence (AI) algorithms, and then deliver precise, individualised guidance are propelling the growth of the market in this region.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, owing to the government's increased measures for the adoption of contemporary agricultural technology and its established infrastructure are the main reasons why North America dominates the global market for digital agriculture. During the projection period, the presence of significant important players will also help the region's digital agriculture market flourish. Therefore, a growth in the availability of technologically advanced agricultural equipment and an increase in government support for the formation of tech enterprises are what are propelling the digital agriculture industry in the North American area.

Key players in the market:

Some of the key players profiled in the Digital Agriculture Market include: IBM Corporation, Accenture, CISCO Systems, Inc, Trimble INC., Hexagon AB, Bayer Cropscience AG, Vodafone Group PLC., Deere & Company, DeLaval, Raven Industries, PrecisionHawk, Agricultural Consulting Services, Eurofins Scientific, Epicor Software Corporation, Gamaya, Arable, AKVA Group and TELUS Agriculture

Key Developments:

In June 2021, Deere & Company (US) partnered with Mobile Track Solution (US) to provide digital solutions for precision farming. Under this, Mobile Track Solutions provided John Deere & Company with greater than 27 cubic yard capacity towed scrapers for its distribution channels. This will help improve earthmoving efficiency and precision in large-scale applications.

In December 2020, IBM Services and the German Society for International Cooperation (GIZ) launched a three-stage support for the Digital4Agriculture Initiative (D4Ag) for small-scale agriculture ventures or start-ups in Africa to predict the weather information and services accessible to improve their crop production.

In April 2020, Trimble partnered with HORSCH (Germany) to develop automation solutions for the agriculture industry. HORSCH and Trimble, in collaboration, will focus on developing solutions, including autonomous machines and workflow management systems that improve farm productivity.

Types Covered:

  • Software
  • Service
  • Hardware
  • Other Types

Technologies Covered:

  • Crop Monitoring
  • Artificial Intelligence
  • Precision Farming
  • Peripheral Technologies
  • Core Technologies
  • Other Technologies

Operations Covered:

  • Monitoring & Scouting
  • Marketing & Demand Generation
  • Farming & Feeding
  • Other Operations

Company Types Covered:

  • Tier 1-55 %
  • Tier 2-20%
  • Tier 3-25%

Applications Covered:

  • Soil Monitoring
  • Field Mapping
  • Yield Monitoring
  • Variable Rate Application
  • Crop Scouting
  • Drone Analytics
  • Farm Inventory Management
  • Crop Management
  • Personnel Management
  • Financial Management
  • Weather Tracking & Forecasting
  • 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 2021, 2022, 2023, 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 Digital Agriculture Market, By Type

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 On-Premises
    • 5.2.2 On-Cloud
    • 5.2.3 AI & Data Analytics
  • 5.3 Service
    • 5.3.1 Managed Services
    • 5.3.2 Assistant Professional Services
    • 5.3.3 Connectivity Services
    • 5.3.4 System Integration & Consulting
    • 5.3.5 Maintenance & Support Services
  • 5.4 Hardware
    • 5.4.1 Automation & Control Systems
      • 5.4.1.1 Irrigation Controllers
      • 5.4.1.2 Drones/ Unmanned Aerial Vehicle (UAVs)
      • 5.4.1.3 Harvesters & Forwarders
      • 5.4.1.4 Global Positioning Systems (GPS)/ Global Navigation Satellite System (GNSS)
      • 5.4.1.5 LED Grow Lights
      • 5.4.1.6 Guidance & Steering Systems
      • 5.4.1.7 Flow & Application Control Devices
      • 5.4.1.8 Displays
      • 5.4.1.9 HVAC Systems
      • 5.4.1.10 Robotics Hardware
      • 5.4.1.11 Handheld Mobile Devices/Handheld Computers
      • 5.4.1.12 Other Automation & Control Systems
    • 5.4.2 Sensing & Monitoring Device
      • 5.4.2.1 Climate Sensors
      • 5.4.2.2 Water Sensors
      • 5.4.2.3 Soil Sensors
      • 5.4.2.4 Electrical Conductivity (EC) Sensors
      • 5.4.2.5 Temperature & Environmental Monitoring Sensors
      • 5.4.2.6 Sensors For Smart Greenhouse
    • 5.4.3 Other Sensing & Monitoring Devices
  • 5.5 Other Types

6 Global Digital Agriculture Market, By Technology

  • 6.1 Introduction
  • 6.2 Crop Monitoring
    • 6.2.1 Guidance System
    • 6.2.2 Variable Rate Technology
    • 6.2.3 Remote Sensing
  • 6.3 Artificial Intelligence
  • 6.4 Precision Farming
  • 6.5 Peripheral Technologies
    • 6.5.1 Apps
    • 6.5.2 Platforms
  • 6.6 Core Technologies
    • 6.6.1 Robotics
    • 6.6.2 Drones
    • 6.6.3 Automation
  • 6.7 Other Technologies

7 Global Digital Agriculture Market, By Operation

  • 7.1 Introduction
  • 7.2 Monitoring & Scouting
  • 7.3 Marketing & Demand Generation
  • 7.4 Farming & Feeding
    • 7.4.1 Precision Animal Rearing & Feeding
    • 7.4.2 Precision Aquaculture
    • 7.4.3 Precision Agriculture
    • 7.4.4 Smart Greenhouse
    • 7.4.5 Precision Forestry
  • 7.5 Other Operations

8 Global Digital Agriculture Market, By Company Type

  • 8.1 Introduction
  • 8.2 Tier 1-55 %
  • 8.3 Tier 2-20%
  • 8.4 Tier 3-25%

9 Global Digital Agriculture Market, By Application

  • 9.1 Introduction
  • 9.2 Soil Monitoring
  • 9.3 Field Mapping
  • 9.4 Yield Monitoring
  • 9.5 Variable Rate Application
  • 9.6 Crop Scouting
  • 9.7 Drone Analytics
  • 9.8 Farm Inventory Management
  • 9.9 Crop Management
  • 9.10 Personnel Management
  • 9.11 Financial Management
  • 9.12 Weather Tracking & Forecasting
  • 9.13 Other Applications

10 Global Digital Agriculture Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM Corporation
  • 12.2 Accenture
  • 12.3 CISCO Systems, Inc
  • 12.4 Trimble INC.
  • 12.5 Hexagon AB
  • 12.6 Bayer Cropscience AG
  • 12.7 Vodafone Group PLC.
  • 12.8 Deere & Company
  • 12.9 DeLaval
  • 12.10 Raven Industries
  • 12.11 PrecisionHawk
  • 12.12 Agricultural Consulting Services
  • 12.13 Eurofins Scientific
  • 12.14 Epicor Software Corporation
  • 12.15 Gamaya
  • 12.16 Arable
  • 12.17 AKVA Group
  • 12.18 TELUS Agriculture

List of Tables

  • Table 1 Global Digital Agriculture Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Digital Agriculture Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Digital Agriculture Market Outlook, By Software (2021-2030) ($MN)
  • Table 4 Global Digital Agriculture Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 5 Global Digital Agriculture Market Outlook, By On-Cloud (2021-2030) ($MN)
  • Table 6 Global Digital Agriculture Market Outlook, By AI & Data Analytics (2021-2030) ($MN)
  • Table 7 Global Digital Agriculture Market Outlook, By Service (2021-2030) ($MN)
  • Table 8 Global Digital Agriculture Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 9 Global Digital Agriculture Market Outlook, By Assistant Professional Services (2021-2030) ($MN)
  • Table 10 Global Digital Agriculture Market Outlook, By Connectivity Services (2021-2030) ($MN)
  • Table 11 Global Digital Agriculture Market Outlook, By System Integration & Consulting (2021-2030) ($MN)
  • Table 12 Global Digital Agriculture Market Outlook, By Maintenance & Support Services (2021-2030) ($MN)
  • Table 13 Global Digital Agriculture Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 14 Global Digital Agriculture Market Outlook, By Automation & Control Systems (2021-2030) ($MN)
  • Table 15 Global Digital Agriculture Market Outlook, By Irrigation Controllers (2021-2030) ($MN)
  • Table 16 Global Digital Agriculture Market Outlook, By Drones/ Unmanned Aerial Vehicle (UAVs) (2021-2030) ($MN)
  • Table 17 Global Digital Agriculture Market Outlook, By Harvesters & Forwarders (2021-2030) ($MN)
  • Table 18 Global Digital Agriculture Market Outlook, By Global Positioning Systems (GPS)/ Global Navigation Satellite System (GNSS) (2021-2030) ($MN)
  • Table 19 Global Digital Agriculture Market Outlook, By LED Grow Lights (2021-2030) ($MN)
  • Table 20 Global Digital Agriculture Market Outlook, By Guidance & Steering Systems (2021-2030) ($MN)
  • Table 21 Global Digital Agriculture Market Outlook, By Flow & Application Control Devices (2021-2030) ($MN)
  • Table 22 Global Digital Agriculture Market Outlook, By Displays (2021-2030) ($MN)
  • Table 23 Global Digital Agriculture Market Outlook, By HVAC Systems (2021-2030) ($MN)
  • Table 24 Global Digital Agriculture Market Outlook, By Robotics Hardware (2021-2030) ($MN)
  • Table 25 Global Digital Agriculture Market Outlook, By Handheld Mobile Devices/Handheld Computers (2021-2030) ($MN)
  • Table 26 Global Digital Agriculture Market Outlook, By Other Automation & Control Systems (2021-2030) ($MN)
  • Table 27 Global Digital Agriculture Market Outlook, By Sensing & Monitoring Device (2021-2030) ($MN)
  • Table 28 Global Digital Agriculture Market Outlook, By Climate Sensors (2021-2030) ($MN)
  • Table 29 Global Digital Agriculture Market Outlook, By Water Sensors (2021-2030) ($MN)
  • Table 30 Global Digital Agriculture Market Outlook, By Soil Sensors (2021-2030) ($MN)
  • Table 31 Global Digital Agriculture Market Outlook, By Electrical Conductivity (EC) Sensors (2021-2030) ($MN)
  • Table 32 Global Digital Agriculture Market Outlook, By Temperature & Environmental Monitoring Sensors (2021-2030) ($MN)
  • Table 33 Global Digital Agriculture Market Outlook, By Sensors For Smart Greenhouse (2021-2030) ($MN)
  • Table 34 Global Digital Agriculture Market Outlook, By Other Sensing & Monitoring Devices (2021-2030) ($MN)
  • Table 35 Global Digital Agriculture Market Outlook, By Other Types (2021-2030) ($MN)
  • Table 36 Global Digital Agriculture Market Outlook, By Technology (2021-2030) ($MN)
  • Table 37 Global Digital Agriculture Market Outlook, By Crop Monitoring (2021-2030) ($MN)
  • Table 38 Global Digital Agriculture Market Outlook, By Guidance System (2021-2030) ($MN)
  • Table 39 Global Digital Agriculture Market Outlook, By Variable Rate Technology (2021-2030) ($MN)
  • Table 40 Global Digital Agriculture Market Outlook, By Remote Sensing (2021-2030) ($MN)
  • Table 41 Global Digital Agriculture Market Outlook, By Artificial Intelligence (2021-2030) ($MN)
  • Table 42 Global Digital Agriculture Market Outlook, By Precision Farming (2021-2030) ($MN)
  • Table 43 Global Digital Agriculture Market Outlook, By Peripheral Technologies (2021-2030) ($MN)
  • Table 44 Global Digital Agriculture Market Outlook, By Apps (2021-2030) ($MN)
  • Table 45 Global Digital Agriculture Market Outlook, By Platforms (2021-2030) ($MN)
  • Table 46 Global Digital Agriculture Market Outlook, By Core Technologies (2021-2030) ($MN)
  • Table 47 Global Digital Agriculture Market Outlook, By Robotics (2021-2030) ($MN)
  • Table 48 Global Digital Agriculture Market Outlook, By Drones (2021-2030) ($MN)
  • Table 49 Global Digital Agriculture Market Outlook, By Automation (2021-2030) ($MN)
  • Table 50 Global Digital Agriculture Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 51 Global Digital Agriculture Market Outlook, By Operation (2021-2030) ($MN)
  • Table 52 Global Digital Agriculture Market Outlook, By Monitoring & Scouting (2021-2030) ($MN)
  • Table 53 Global Digital Agriculture Market Outlook, By Marketing & Demand Generation (2021-2030) ($MN)
  • Table 54 Global Digital Agriculture Market Outlook, By Farming & Feeding (2021-2030) ($MN)
  • Table 55 Global Digital Agriculture Market Outlook, By Precision Animal Rearing & Feeding (2021-2030) ($MN)
  • Table 56 Global Digital Agriculture Market Outlook, By Precision Aquaculture (2021-2030) ($MN)
  • Table 57 Global Digital Agriculture Market Outlook, By Precision Agriculture (2021-2030) ($MN)
  • Table 58 Global Digital Agriculture Market Outlook, By Smart Greenhouse (2021-2030) ($MN)
  • Table 59 Global Digital Agriculture Market Outlook, By Precision Forestry (2021-2030) ($MN)
  • Table 60 Global Digital Agriculture Market Outlook, By Other Operations (2021-2030) ($MN)
  • Table 61 Global Digital Agriculture Market Outlook, By Company Type (2021-2030) ($MN)
  • Table 62 Global Digital Agriculture Market Outlook, By Tier 1-55 % (2021-2030) ($MN)
  • Table 63 Global Digital Agriculture Market Outlook, By Tier 2-20% (2021-2030) ($MN)
  • Table 64 Global Digital Agriculture Market Outlook, By Tier 3-25% (2021-2030) ($MN)
  • Table 65 Global Digital Agriculture Market Outlook, By Application (2021-2030) ($MN)
  • Table 66 Global Digital Agriculture Market Outlook, By Soil Monitoring (2021-2030) ($MN)
  • Table 67 Global Digital Agriculture Market Outlook, By Field Mapping (2021-2030) ($MN)
  • Table 68 Global Digital Agriculture Market Outlook, By Yield Monitoring (2021-2030) ($MN)
  • Table 69 Global Digital Agriculture Market Outlook, By Variable Rate Application (2021-2030) ($MN)
  • Table 70 Global Digital Agriculture Market Outlook, By Crop Scouting (2021-2030) ($MN)
  • Table 71 Global Digital Agriculture Market Outlook, By Drone Analytics (2021-2030) ($MN)
  • Table 72 Global Digital Agriculture Market Outlook, By Farm Inventory Management (2021-2030) ($MN)
  • Table 73 Global Digital Agriculture Market Outlook, By Crop Management (2021-2030) ($MN)
  • Table 74 Global Digital Agriculture Market Outlook, By Personnel Management (2021-2030) ($MN)
  • Table 75 Global Digital Agriculture Market Outlook, By Financial Management (2021-2030) ($MN)
  • Table 76 Global Digital Agriculture Market Outlook, By Weather Tracking & Forecasting (2021-2030) ($MN)
  • Table 77 Global Digital Agriculture Market Outlook, By Other Applications (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.