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2030 年数字农业市场预测 - 按类型、技术、运营、公司类型、用途和地区进行的全球分析
市场调查报告书
商品编码
1324209

2030 年数字农业市场预测 - 按类型、技术、运营、公司类型、用途和地区进行的全球分析

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个工作天内

价格

根据Stratistics MRC的数据，2023年全球数字农业市场规模为181.1亿美元，预计预测期内年复合成长率为12.5%，到2030年将达到413亿美元。

农民正在使用数字农业工具来实时监测作物生长。例如，放置在农田中用于记录温度和土壤质量的传感器、气候田野视图等计算机程序、用于创建耕种和产量地图的工具以及其他类似程序。通过提供培训、金融和法律服务，数字技术在农业中的使用促进了相关人员之间的资讯交流，并促进与供应商和员工建立战略联盟。

根据联合国粮农组织的资料，水稻、小麦、大麦和玉米等主要谷物产量大幅下降，其中小麦从2019年的41,079汞/公顷下降至2020年的40,708汞/公顷，而大麦和其他作物也出现了类似的下降趋势。粗粒。

市场动态：

提高生产力和改善作物健康的压力

农民始终面临着使用更少农药生产更多粮食和饲料的压力。我们必须使用更少的能源和劳动力，并改善环境土地和水管理。人口快速增长导致养活不断增长的人口出现困难，因此需要增加农业生产。所有这些需求都可以使用物联网 (IoT) 设备和软件来满足，例如精密农业。因此，MapShots、AgDNA、AgroSense等精密农业工具的使用将有助于提高作物产量、改善土壤质量，并刺激全球对数字农业的需求。

自主农业设备初始成本较高

自动化农业设备比传统农业设备昂贵得多。正如现代汽车高昂的维护成本限制了小农户对智能数字农业技术的使用一样。这些车辆中的摄像头、传感器、软件和硬件的维护成本限制了市场的扩张。对于农民来说，投资自动化和技术先进的车辆对于提高农业产量和利润很重要，但进行大量初始投资很困难。印度、巴西和中国等国家的农民面临着智能农业技术高昂初始成本的课题。

扩大人工智能和物联网技术的使用

人工智能和机器学习正在迅速融入农业设备和田间作业中。认知计算因其提高生产力并帮助人们学习、理解和应对各种情况的能力而在各行各业越来越受欢迎。聊天机器人和其他对话平台等解决方案即服务可以帮助农民跟上最新的技术进步。同样，物联网解决方案支持水和电等自然资源的有效利用。物联网设备采用光、湿度和温度等各种传感器来跟踪作物健康和土壤湿度。

人们越来越关注资料管理

做出更明智的农场决策和加强农场运营取决于资料管理。资讯以原始形式收集，根据上下文、相关性和优先级进行处理，并以有助于决策的形式呈现。管理资料是农民和数字农业其他市场参与企业必须解决的关键问题。收集的资讯至关重要，因为它可以让农民和价值链中的其他参与者做出明智的选择。然而，许多农民和生产者不知道如何有效地利用资料进行决策。因此，为农民和生产者提供正确的资料管理工具和策略至关重要。

COVID-19 的影响

COVID-19大流行期间，对农民工和农村工人流动的限制导致大范围的禁闭、旅行限制和进出口活动暂停，导致劳动力严重短缺，世界各地的农作物生产受到不利影响。受新冠肺炎 (COVID-19) 疫情影响，运输限制和不利的贸易影响导致农业机械销量下降。农机业务分销网络受到影响，智能农机销售受阻。

人工智能行业预计将在预测期内成为最大的行业

由于利用人工智能、云、物联网和分析的农业设备的快速发展，人工智能领域预计将出现良好的增长。公司正在开发尖端的人工智能係统，用于识别天气、土壤健康、作物健康、杂草和害虫。例如，Plantix是一款基于人工智能的工具，由德国科技公司PEAT开发。通过识别土壤养分缺乏、病虫害，该软件可以帮助农民施用正确的肥料并提高产量。同样，人工智能驱动的无人机、机器人和应用程序预计将加速农业技术的应用。

作物管理行业预计在预测期内年复合成长率最高

预计作物管理行业在预测期内将以最高的年复合成长率增长。这是因为土壤退化、水资源短缺和农作物歉收的风险增加，对产量监测、土壤和肥料管理以及智能灌溉系统的需求不断增加。同样，智能农业技术可以帮助农民了解天气模式并选择适合气候的作物。因此，世界上最容易发生干旱的国家预计将在未来几年采用天气预报技术。这些因素预计将加速数字农业产业的扩张。

占比最大的地区

由于中国农业行业智能农业技术使用的革命性转变，预计亚太地区在预测期内将占据最大的市场份额。物联网 (IoT) 蜂窝设备、基于齿轮传感器的灌溉和施肥设备以及阀门位置传感器等基于传感器的技术对于该领域来说仍然相对较新，但随着农民开发出更先进的农业技术。传感器最近有所增加，主要是由于机械化率的提高。从多个资讯来源收集资料并将其输入机器学习 (ML) 和人工智能 (AI) 算法以提供精确和个体化指导的先进功能正在推动该地区的市场增长。我就是。

复合年复合成长率最高的地区

预计北美在预测期内的年复合成长率最高。这是因为北美正在主导全球数字农业市场，各国政府正在加紧努力采用最新的农业技术，而且基础设施也很完善。主要参与者的存在也将推动该地区数字农业市场在预测期内蓬勃发展。因此，技术先进的农业设备的不断增加以及政府对高科技公司组建的支持力度不断加大，正在推动北美地区的数字农业产业发展。

免费定制服务：

订阅此报告的客户将收到以下免费定制选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（注：基于可行性检查）
  • 竞争标杆管理
    • 根据产品系列、地域分布和战略联盟对主要企业进行基准测试

目录

第1章执行摘要

第2章前言

  • 执行摘要
  • 利益相关者
  • 调查范围
  • 调查方法
    • 资料挖掘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章数字农业全球市场：按类型

  • 软体
    • 本地
    • 在云端
    • 人工智能/资料分析
  • 服务
    • 管理服务
    • 助理专业服务
    • 连接服务
    • 系统集成与咨询
    • 维护与支持服务
  • 硬体
    • 自动化与控制系统
      • 灌溉控制器
      • 无人机/无人机 (UAV)
      • 收割机和转运机
      • 全球定位系统 (GPS)/全球导航卫星系统 (GNSS)
      • LED栽培灯
      • 制导和转向系统
      • 流量和应用控制装置
      • 展示
      • 暖通空调系统
      • 机器人硬件
      • 手持移动设备/手持电脑
      • 其他自动化和控制系统
    • 传感和监控设备
      • 气候传感器
      • 水传感器
      • 土壤传感器
      • 电导率 (EC) 传感器
      • 温度/环境监测传感器
      • 智能温室传感器
    • 其他传感和监控设备
  • 其他类型

第6章数字农业全球市场：按技术分类

  • 作物监测
    • 引导系统
    • 可变利率技术
    • 遥感
  • 人工智慧
  • 精密农业
  • 周边技术
    • 应用程式
    • 平台
  • 核心技术
    • 机器人技术
    • 无人机
    • 自动化
  • 其他技术

第7章数字农业全球市场：按运营划分

  • 监控与侦察
  • 营销与需求创造
  • 农业和饲养
    • 精准畜牧/饲餵
    • 精准水产养殖
    • 精密农业
    • 智能温室
    • 精准林业
  • 其他职责

第8章全球数字农业市场：按公司类型

  • 1-55 级
  • 2-20 级
  • 3-25 级

第9章数字农业全球市场：按用途

  • 土壤监测
  • 现场测绘
  • 产量监控
  • 可变利率申请
  • 作物侦察
  • 无人机分析
  • 农场库存管理
  • 作物管理
  • 人力资源管理
  • 财务管理
  • 天气跟踪和预报
  • 其他用途

第10章数字农业全球市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第11章进展

  • 合同、伙伴关係、联盟和合资企业
  • 收购和合併
  • 新产品上市
  • 业务扩展
  • 其他关键策略

第12章公司简介

  • 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.