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2030 年农业分析市场预测 - 按类型、农业类型、组件类型、农场规模、技术、用途、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1339924

2030 年农业分析市场预测 - 按类型、农业类型、组件类型、农场规模、技术、用途、最终用户和地区进行的全球分析

Agriculture Analytics Market Forecasts to 2030 - Global Analysis By Type, Agriculture Type, Component Type, Farm Size, Technology, Application, End User 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 年全球农业分析市场规模为 14 亿美元，预计到 2030 年将达到 37.4 亿美元，预测期内年复合成长率为 15.1%。

农业分析为接收者提供相关、准确、及时且易于理解的产品，如市场资讯、经济分析、统计咨询和科学研究。农业分析服务的接受者可以提高业务效率，更好地了解当前的商品市场环境，评估新的营销机会，改善物流和科学运营，管理风险，并为复杂的营销和生产问题创造性的解决方案。通过使用资料科学，正在开发更先进的农业监测系统。

据联合国粮食及农业组织统计，2019年，巴西水稻种植面积占南美洲所有水稻种植面积的65-70%。该国生产52%的灌溉稻、38%的雨养稻和92%的旱稻。

最尖端科技的增加

农业分析利用巨量资料、人工智能、云计算和物联网等最尖端科技来管理和自动化农业活动，包括农作物、田地、动物等。世界对粮食需求的不断增长导致了现代农业技术的使用。由于人口的快速增长，未来的粮食消费量将增加一倍。因此，预计农业分析技术的使用将有助于解决未来该领域的问题。耕地面积也呈减少趋势。都市化、水资源短缺、气候变化和人口增长对农业用地产生显着的负面影响。

高成本准确的现场资料采集

获取准确的现场资料的高昂成本是人工智能在农业中应用的主要障碍。农民对于使用人工智能技术获取准确的田间资料犹豫不决。这是因为人工智能技术需要高昂的初始成本、有效的农业机械以及合格且经验丰富的农民和生产者。与人工智能农业相关的支出中只有两项是高成本的空间资料收集和培训。无人机和自动拖拉机采用 GPS 技术进行导航和测绘，但成本高昂且需要大量初始投资。

扩大农业分析在大型农场的使用

由于农业分析易于使用且能够提高盈利能力，因此越来越多地在大型农场中使用，这对整个行业来说是积极的。大型农场进行复杂的商业运作并产生大量资讯，农业分析服务提供商帮助管理这些资料。因此，市场正在扩大，并可能继续为农业分析行业的增长做出重要贡献。此外，各国政府不断加大对农民的教育、利用农业分析来提高农作物产量以及解决不稳定的气候波动和环境问题，正在推动市场增长。

技术知识和技能差距

扩大农业分析领域的重大障碍包括缺乏技术意识和技能差距。一个主要问题是农民和其他农业相关人员缺乏对农业分析的潜在好处的了解和理解。许多人可能不熟悉资料分析的原理以及它如何提高生产力和决策。农业分析解决方案的采用可能会因缺乏知识而受到阻碍，因为潜在用户可能不会认为农业分析解决方案有益或将其应用到他们的运营中。

新冠肺炎 (COVID-19) 影响：

农业部门在停工期间继续表现良好。印度政府已采取一切必要措施，确保农业相关业务顺利开展。农业和相关企业受到保护，免于停工。为了向农民提供投入品，经销商、商店和其他投入品相关企业被允许免费运营。冠状病毒大流行（COVID-19）的爆发和蔓延严重扰乱了全球经济，导致全球所有部门失衡。

农场分析领域预计将在预测期内成为最大的领域

随着农业专业人士将人工智能和资料科学整合，对农场进行预测分析，以获得对农业环境的重要见解，农场分析领域预计将出现利润丰厚的增长。基于订阅的服务的趋势试图降低农民的成本，同时提供实时作物状态通知以及预测建模和运营最佳化，使他们能够完全控制未来的收成。 Ag-Analytics 和其他企业正在利用精密农业资料的见解来解决对天气影响的担忧。该项目利用 Farm Scope 等技术，整合了多个资讯来源的资料，包括卫星、土壤、天气、历史作物和农场设备资料，以评估农田的当前状况并预测未来的生产力。

预计农学家在预测期内的年复合成长率最高

农学家对于农业分析至关重要，因为他们利用资料来改进农业实践、最大限度地提高产量并确保农业系统的永续。专门研究作物生产和土壤管理的科学和应用的专业人员被称为农学家。农学家与农民密切合作，就与作物生产相关的各种问题提供知识丰富的指导和帮助。他们使用农业分析来评估从田间收集的资讯，例如土壤样本、天气模式和作物表现资料。

占比最大的地区：

预计亚太地区在预测期内将占据最大的市场份额。这是由于政府加大了自动化和改进农业实践的力度，增加了对农业分析的需求。此外，快速增长的人口正在推动最尖端科技的部署，以提高产量。政府对使用现代农业方法的激励措施不断增加，全球粮食需求不断增长带来的压力越来越大，以及不可预测的气候变化和环境条件正在推动农业分析领域的扩张。

复合年复合成长率最高的地区：

由于人工智能、云计算、资料分析、巨量资料和其他技术供应商高度集中，欧洲预计在预测期内年复合成长率最高。随着最尖端科技的使用增加和大量资料的获取，农民和相关企业正在采用分析来获得更深入的操作知识并做出资讯的决策。看起来像这样。对新鲜优质食品不断增长的需求正在推动农业行业利用农业分析。该地区的农业分析市场是由数字技术的普及、基础设施的快速扩张以及对资料驱动解决方案的需求推动的，从而推动了该地区的市场增长。

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

  • 概述
  • 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
    • 主要调查来源
    • 二次调查来源
    • 假设

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
  • 用途分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（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章全球农业分析市场：按类型

  • 农场分析
  • 牲畜分析
  • 其他类型

第6章全球农业分析市场：按农业类型

  • 水产养殖
    • 饲养管理
    • 水质管理
    • 病虫害管理
    • 曝气系统
    • 鱼类追踪和船队导航
    • 品管和可追溯性
  • 家畜
    • 热应激管理
    • 牛奶收穫
    • 养殖管理
    • 行为监控与管理
    • 实时监控
    • 犊牛管理
    • 饲养管理
    • 其他牲畜
  • 精密农业
    • 农场劳动力管理
    • 可变利率技术
    • 决策支持系统
    • 灌溉和水管理
    • 土壤健康分析
    • 产量监测和预测
  • 垂直农业
    • 营养管理
    • 资源规划和最佳化
    • 种植和播种
    • 永续性和环境监测
    • 分级和营销
    • 供应链管理
      • 运输管理
      • 库存控制
      • 管理订单交付和申请
    • 其他垂直农业方法
  • 其他农业类型

第7章全球农业分析市场：按组件类型

  • 服务
    • 专业的服务
      • 培训和咨询
      • 系统整合与实施
      • 支持与维护
    • 管理服务
      • 农场管理服务
      • 资料服务
      • 分析服务
  • 解决方案

第8章全球农业分析市场：按农场规模

  • 中小型农场
  • 大型农场

第9章全球农业分析市场：按技术分类

  • 巨量资料和云计算
  • 可视化和报告
  • 机器人和自动化
  • 遥感和卫星图像
  • 区块链技术
  • 地理资讯系统
  • 其他技术

第10章全球农业分析市场：按用途

  • 作物管理
  • 天气资料分析
  • 灌溉和水管理
  • 运输
  • 肥料管理
  • 实地规划
  • 水产养殖
  • 其他用途

第11章全球农业分析市场：按最终用户分类

  • 农学家
  • 农民
  • 农业研究员
  • 政府机关
  • 农业综合企业
  • 其他最终用户

第12章全球农业分析市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 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
  • 中东和非洲
    • 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13章进展

  • 合同、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第14章公司简介

  • Ageagle Aerial Systems Inc
  • Agribotix
  • Agrivi
  • Bayer AG
  • Conservis Corporation
  • Deere & Company
  • Farmers Edge
  • Gro Intelligence
  • IBM Corporation
  • Iteris Inc
  • Monsanto
  • Oracle
  • PrecisionHawk, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Taranis
  • Trimble Inc.
  • Vistex, Inc.
Product Code: SMRC23632

According to Stratistics MRC, the Global Agriculture Analytics Market is accounted for $1.4 billion in 2023 and is expected to reach $3.74 billion by 2030 growing at a CAGR of 15.1% during the forecast period. Market intelligence, economic analysis, statistical consultancy, and scientific research goods that are suitable, precise, timely, and simple to understand are provided to recipients by agricultural analytics. Receivers of agricultural analytics services benefit from increased business efficiency, better understanding of the current commodity market environment, evaluation of new marketing opportunities, improved logistics and science-based operations, risk management, and the ability to develop creative solutions to complex marketing and production issues. More advanced agricultural monitoring systems are being developed with the use of data science.

According to the Food and Agriculture Organization, in 2019, Brazil accounted for 65-70% of all rice-growing areas in South America. The country produces 52% of all irrigated rice, 38% of all rain-fed rice, and 92% of all upland rice in the region.

Market Dynamics:

Driver:

Increased cutting-edge technologies

Agriculture analytics uses cutting-edge technology like big data, artificial intelligence, cloud computing, and the Internet of Things to manage and automate farming activities including crops, fields, animals, and others. Modern agricultural techniques are being used due to the rising global food demand. Due to the population's fast expansion; there will be a two-fold rise in future food consumption. As a result, it is projected that the use of agro analytics technology would help the sector in the future handle its problems. The amount of arable land is decreasing, which is showing similar tendencies. Urbanization, water shortages, climate change, and population increase have a significant negative influence on agricultural land.

Restraint:

Expensive accurate field data collection

The high cost of getting accurate field data is the main barrier to AI adoption in the agriculture sector. Farmers are hesitant to use AI technology to get exact field data since it demands high upfront expenses, effective farming equipment, and qualified and experienced farmers or growers, among other factors. Only two of the expenditures associated with AI-based farming are high-cost spatial data collecting and training. Drones and autonomous tractors employ GPS technology for navigation and mapping, which is costly and necessitates a substantial initial investment.

Opportunity:

Expanding usage of agricultural analytics on large farms

Due to its accessibility and capacity to increase profitability, agricultural analytics are being used more often on large farms, which is positive for the sector as a whole. Big farms conduct high-level commercial operations, producing large volumes of information and assisting farm analytics service providers in managing this data. As a result, the market is expanding and will probably continue to be a key contributor in the growth of the agricultural analytics industry. In addition, rising government attempts to educate farmers, use of agriculture analytics to enhance crop output, and dealing with erratic climatic fluctuations and environmental concerns are enhancing the market growth.

Threat:

Knowledge of technology and the skills gap

Significant obstacles to the expansion of the agriculture analytics sector include the lack of technological awareness and the skills gap. The lack of knowledge and comprehension among farmers and other agricultural stakeholders regarding the potential advantages of analytics in agriculture is a significant problem. The principles of data analysis and how it might enhance productivity and decision-making may not be well known to many people. The adoption of agriculture analytics solutions may be hampered by this lack of knowledge since potential users may not view them as beneficial or applicable to their operations.

COVID-19 Impact:

The agricultural sector had run well during the shutdown. The Indian government has taken all essential steps to ensure that agriculture-related operations run smoothly. Agriculture and related pursuits were protected from the shutdown. Dealers, stores, and other input-related businesses were permitted to open their doors for free in order to provide farmers with inputs. The global economy has been severely disrupted by the onset and spread of the corona virus pandemic (COVID-19), which has caused an imbalance in every sector globally.

The farm analytics segment is expected to be the largest during the forecast period

The farm analytics segment is estimated to have a lucrative growth, due to insights that matter in the agricultural environment, agriculture experts are integrating artificial intelligence and data science to create on-farm predictive analytics. A growing trend in subscription-based services attempts to lower costs for farmers while also giving them access to real-time crop-condition notifications, additionally predictive modelling and job optimization will give total control over their upcoming harvest. Ag-Analytics and other businesses use insights from precision agricultural data to address concerns about weather effect. The business makes use of technologies like Farm Scope, which integrate data from several sources, including satellite, soil, weather, historical crop, and farm equipment data, to produce a study of the current condition of an agricultural area and a projection for future productivity.

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

The agronomists segment is anticipated to witness the highest CAGR growth during the forecast period, because agronomists are essential to agriculture analytics because they use data to enhance farming methods, maximize yields, and make sure agricultural systems are sustainable. Professionals with specialization in the science and application of crop production and soil management are known as agronomists. Agronomists collaborate closely with farmers, offering knowledgeable direction and assistance on a variety of crop production-related issues. To evaluate information gathered from fields, including soil samples, weather patterns, and crop performance data, they use agriculture analytics.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to the growing government initiative to automate and improve farming methods will increase the need for agriculture analytics. Furthermore, the nations' rapidly growing populations are what is driving the deployment of cutting-edge technology to boost yields. Growing government incentives to utilize modern agricultural methods, increasing pressure to fulfil the world's growing food demand, and unpredictable climate change and environmental circumstances are all driving the expansion of the agriculture analytics sector.

Region with highest CAGR:

Europe is projected to have the highest CAGR over the forecast period, owing to the region's dense concentration of suppliers for artificial intelligence, cloud computing, data analytics, big data, and other technologies. As a consequence of the increasing use of cutting-edge technology and the accessibility of vast amounts of data, farmers and agribusinesses are employing analytics to get deep knowledge about their operations and make informed decisions. The demand for fresh, high-quality food is rising, which is motivating the farming industry to use agriculture analytics. The market for agriculture analytics in this region is growing as a consequence of the widespread use of digital technologies, quick expansion of infrastructure, and need for data-driven solutions are driving the growth of the market in this region.

Key players in the market:

Some of the key players profiled in the Agriculture Analytics Market include: Ageagle Aerial Systems Inc, Agribotix, Agrivi, Bayer AG, Conservis Corporation, Deere & Company, Farmers Edge, Gro Intelligence, IBM Corporation, Iteris Inc, Monsanto, Oracle, PrecisionHawk, Inc., SAP SE, SAS Institute Inc., Taranis, Trimble Inc. and Vistex, Inc.

Key Developments:

  • In July 2023, Bayer extends Partnership with Peking University to foster Pharmaceutical Innovation in China; the collaboration will focus on selected key areas of interests, such as oncology, cardiorenal, immunology, as well as cell and gene therapy.
  • In May 2023, AgEagle Announces Compliance with NYSE Guidelines on Audit Opinion Disclosure, This announcement is being made solely to comply with the New York Stock Exchange's Company Guide Sections 401(h) and 610(b), which require separate disclosure of receipt of an audit opinion that contains a going concern qualification.
  • In May 2023, AgEagle Releases "RedEdge-P dual" High Resolution Drone Sensor, the new RedEdge-P™ dual high resolution and RGB composite drone sensor, representing yet another AgEagle technological advancement in aerial imaging cameras.

Types Covered:

  • Farm Analytics
  • Livestock Analytics
  • Other Types

Agriculture Types Covered:

  • Aquaculture Farming
  • Livestock Farming
  • Precision Farming
  • Vertical Farming
  • Other Agriculture Types

Components Covered:

  • Services
  • Solutions

Farm Sizes Covered:

  • Small and Medium-Sized Farms
  • Large Farms

Technologies Covered:

  • Big Data & Cloud Computing
  • Visualization & Reporting
  • Robotics & Automation
  • Remote Sensing & Satellite Imagery
  • Block chain Technology
  • Geographic Information System
  • Other Technologies

Applications Covered:

  • Crop Management
  • Weather Data Analytics
  • Irrigation & Water Management
  • Transportation
  • Fertilizer Management
  • Field Planning
  • Aquaculture
  • Other Applications

End Users Covered:

  • Agronomists
  • Farmers
  • Agricultural Researchers
  • Government Agencies
  • Agribusinesses
  • Other End Users

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 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Analytics Market, By Type

  • 5.1 Introduction
  • 5.2 Farm Analytics
  • 5.3 Livestock Analytics
  • 5.4 Other Types

6 Global Agriculture Analytics Market, By Agriculture Type

  • 6.1 Introduction
  • 6.2 Aquaculture Farming
    • 6.2.1 Feeding Management
    • 6.2.2 Water Quality Management
    • 6.2.3 Pest & Disease Management
    • 6.2.4 Aeration Systems
    • 6.2.5 Fish Tracking & Fleet Navigation
    • 6.2.6 Quality Control & Traceability
  • 6.3 Livestock Farming
    • 6.3.1 Heat Stress Management
    • 6.3.2 Milk Harvesting
    • 6.3.3 Breeding Managemnt
    • 6.3.4 Behavior Monitoring & Mangement
    • 6.3.5 Real-Time Monitoring
    • 6.3.6 Calf Mangement
    • 6.3.7 Feeding Management
    • 6.3.8 Other Livestock Farmings
  • 6.4 Precision Farming
    • 6.4.1 Farm Labor Management
    • 6.4.2 Variable Rate Technology
    • 6.4.3 Decision Support Systems
    • 6.4.4 Irrigation and Water Management
    • 6.4.5 Soil Health Analysis
    • 6.4.6 Yield Monitoring and Prediction
  • 6.5 Vertical Farming
    • 6.5.1 Nutrient Management
    • 6.5.2 Resource Planning and Optimization
    • 6.5.3 Planting and Seeding
    • 6.5.4 Sustainability and Environmental Monitoring
    • 6.5.5 Grading and Marketing
    • 6.5.6 Supply Chain Management
      • 6.5.6.1 Shipping Management
      • 6.5.6.2 Inventory Management
      • 6.5.6.3 Order Delivery and Invoice Management
    • 6.5.7 Other Vertical Farmings
  • 6.6 Other Agriculture Types

7 Global Agriculture Analytics Market, By Component

  • 7.1 Introduction
  • 7.2 Services
    • 7.2.1 Professional Services
      • 7.2.1.1 Training & Consulting
      • 7.2.1.2 System Integration & Implementation
      • 7.2.1.3 Support & Maintenance
    • 7.2.2 Managed Services
      • 7.2.2.1 Farm Operation Services
      • 7.2.2.2 Data Services
      • 7.2.2.3 Analytic Services
  • 7.3 Solutions

8 Global Agriculture Analytics Market, By Farm Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Farms
  • 8.3 Large Farms

9 Global Agriculture Analytics Market, By Technology

  • 9.1 Introduction
  • 9.2 Big Data & Cloud Computing
  • 9.3 Visualization & Reporting
  • 9.4 Robotics & Automation
  • 9.5 Remote Sensing & Satellite Imagery
  • 9.6 Blockchain Technology
  • 9.7 Geographic Information System
  • 9.8 Other Technologies

10 Global Agriculture Analytics Market, By Application

  • 10.1 Introduction
  • 10.2 Crop Management
  • 10.3 Weather Data Analytics
  • 10.4 Irrigation & Water Management
  • 10.5 Transportation
  • 10.6 Fertilizer Management
  • 10.7 Field Planning
  • 10.8 Acquaculture
  • 10.9 Other Applications

11 Global Agriculture Analytics Market, By End User

  • 11.1 Introduction
  • 11.2 Agronomists
  • 11.3 Farmers
  • 11.4 Agricultural Researchers
  • 11.5 Government Agencies
  • 11.6 Agribusinesses
  • 11.7 Other End Users

12 Global Agriculture Analytics Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Ageagle Aerial Systems Inc
  • 14.2 Agribotix
  • 14.3 Agrivi
  • 14.4 Bayer AG
  • 14.5 Conservis Corporation
  • 14.6 Deere & Company
  • 14.7 Farmers Edge
  • 14.8 Gro Intelligence
  • 14.9 IBM Corporation
  • 14.10 Iteris Inc
  • 14.11 Monsanto
  • 14.12 Oracle
  • 14.14 PrecisionHawk, Inc.
  • 14.13 SAP SE
  • 14.15 SAS Institute Inc.
  • 14.16 Taranis
  • 14.17 Trimble Inc.
  • 14.18 Vistex, Inc.

List of Tables

  • Table 1 Global Agriculture Analytics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Agriculture Analytics Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Agriculture Analytics Market Outlook, By Farm Analytics (2021-2030) ($MN)
  • Table 4 Global Agriculture Analytics Market Outlook, By Livestock Analytics (2021-2030) ($MN)
  • Table 5 Global Agriculture Analytics Market Outlook, By Other Types (2021-2030) ($MN)
  • Table 6 Global Agriculture Analytics Market Outlook, By Agriculture Type (2021-2030) ($MN)
  • Table 7 Global Agriculture Analytics Market Outlook, By Aquaculture Farming (2021-2030) ($MN)
  • Table 8 Global Agriculture Analytics Market Outlook, By Feeding Management (2021-2030) ($MN)
  • Table 9 Global Agriculture Analytics Market Outlook, By Water Quality Management (2021-2030) ($MN)
  • Table 10 Global Agriculture Analytics Market Outlook, By Pest & Disease Management (2021-2030) ($MN)
  • Table 11 Global Agriculture Analytics Market Outlook, By Aeration Systems (2021-2030) ($MN)
  • Table 12 Global Agriculture Analytics Market Outlook, By Fish Tracking & Fleet Navigation (2021-2030) ($MN)
  • Table 13 Global Agriculture Analytics Market Outlook, By Quality Control & Traceability (2021-2030) ($MN)
  • Table 14 Global Agriculture Analytics Market Outlook, By Livestock Farming (2021-2030) ($MN)
  • Table 15 Global Agriculture Analytics Market Outlook, By Heat Stress Management (2021-2030) ($MN)
  • Table 16 Global Agriculture Analytics Market Outlook, By Milk Harvesting (2021-2030) ($MN)
  • Table 17 Global Agriculture Analytics Market Outlook, By Breeding Managemnt (2021-2030) ($MN)
  • Table 18 Global Agriculture Analytics Market Outlook, By Behavior Monitoring & Mangement (2021-2030) ($MN)
  • Table 19 Global Agriculture Analytics Market Outlook, By Real-Time Monitoring (2021-2030) ($MN)
  • Table 20 Global Agriculture Analytics Market Outlook, By Calf Mangement (2021-2030) ($MN)
  • Table 21 Global Agriculture Analytics Market Outlook, By Feeding Management (2021-2030) ($MN)
  • Table 22 Global Agriculture Analytics Market Outlook, By Other Livestock Farmings (2021-2030) ($MN)
  • Table 23 Global Agriculture Analytics Market Outlook, By Precision Farming (2021-2030) ($MN)
  • Table 24 Global Agriculture Analytics Market Outlook, By Farm Labor Management (2021-2030) ($MN)
  • Table 25 Global Agriculture Analytics Market Outlook, By Variable Rate Technology (2021-2030) ($MN)
  • Table 26 Global Agriculture Analytics Market Outlook, By Decision Support Systems (2021-2030) ($MN)
  • Table 27 Global Agriculture Analytics Market Outlook, By Irrigation and Water Management (2021-2030) ($MN)
  • Table 28 Global Agriculture Analytics Market Outlook, By Soil Health Analysis (2021-2030) ($MN)
  • Table 29 Global Agriculture Analytics Market Outlook, By Yield Monitoring and Prediction (2021-2030) ($MN)
  • Table 30 Global Agriculture Analytics Market Outlook, By Vertical Farming (2021-2030) ($MN)
  • Table 31 Global Agriculture Analytics Market Outlook, By Nutrient Management (2021-2030) ($MN)
  • Table 32 Global Agriculture Analytics Market Outlook, By Resource Planning and Optimization (2021-2030) ($MN)
  • Table 33 Global Agriculture Analytics Market Outlook, By Planting and Seeding (2021-2030) ($MN)
  • Table 34 Global Agriculture Analytics Market Outlook, By Sustainability and Environmental Monitoring (2021-2030) ($MN)
  • Table 35 Global Agriculture Analytics Market Outlook, By Grading and Marketing (2021-2030) ($MN)
  • Table 36 Global Agriculture Analytics Market Outlook, By Supply Chain Management (2021-2030) ($MN)
  • Table 37 Global Agriculture Analytics Market Outlook, By Shipping Management (2021-2030) ($MN)
  • Table 38 Global Agriculture Analytics Market Outlook, By Inventory Management (2021-2030) ($MN)
  • Table 39 Global Agriculture Analytics Market Outlook, By Order Delivery and Invoice Management (2021-2030) ($MN)
  • Table 40 Global Agriculture Analytics Market Outlook, By Other Vertical Farmings (2021-2030) ($MN)
  • Table 41 Global Agriculture Analytics Market Outlook, By Other Agriculture Types (2021-2030) ($MN)
  • Table 42 Global Agriculture Analytics Market Outlook, By Component (2021-2030) ($MN)
  • Table 43 Global Agriculture Analytics Market Outlook, By Services (2021-2030) ($MN)
  • Table 44 Global Agriculture Analytics Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 45 Global Agriculture Analytics Market Outlook, By Training & Consulting (2021-2030) ($MN)
  • Table 46 Global Agriculture Analytics Market Outlook, By System Integration & Implementation (2021-2030) ($MN)
  • Table 47 Global Agriculture Analytics Market Outlook, By Support & Maintenance (2021-2030) ($MN)
  • Table 48 Global Agriculture Analytics Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 49 Global Agriculture Analytics Market Outlook, By Farm Operation Services (2021-2030) ($MN)
  • Table 50 Global Agriculture Analytics Market Outlook, By Data Services (2021-2030) ($MN)
  • Table 51 Global Agriculture Analytics Market Outlook, By Analytic Services (2021-2030) ($MN)
  • Table 52 Global Agriculture Analytics Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 53 Global Agriculture Analytics Market Outlook, By Farm Size (2021-2030) ($MN)
  • Table 54 Global Agriculture Analytics Market Outlook, By Small and Medium-Sized Farms (2021-2030) ($MN)
  • Table 55 Global Agriculture Analytics Market Outlook, By Large Farms (2021-2030) ($MN)
  • Table 56 Global Agriculture Analytics Market Outlook, By Technology (2021-2030) ($MN)
  • Table 57 Global Agriculture Analytics Market Outlook, By Big Data & Cloud Computing (2021-2030) ($MN)
  • Table 58 Global Agriculture Analytics Market Outlook, By Visualization & Reporting (2021-2030) ($MN)
  • Table 59 Global Agriculture Analytics Market Outlook, By Robotics & Automation (2021-2030) ($MN)
  • Table 60 Global Agriculture Analytics Market Outlook, By Remote Sensing & Satellite Imagery (2021-2030) ($MN)
  • Table 61 Global Agriculture Analytics Market Outlook, By Blockchain Technology (2021-2030) ($MN)
  • Table 62 Global Agriculture Analytics Market Outlook, By Geographic Information System (2021-2030) ($MN)
  • Table 63 Global Agriculture Analytics Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 64 Global Agriculture Analytics Market Outlook, By Application (2021-2030) ($MN)
  • Table 65 Global Agriculture Analytics Market Outlook, By Crop Management (2021-2030) ($MN)
  • Table 66 Global Agriculture Analytics Market Outlook, By Weather Data Analytics (2021-2030) ($MN)
  • Table 67 Global Agriculture Analytics Market Outlook, By Irrigation & Water Management (2021-2030) ($MN)
  • Table 68 Global Agriculture Analytics Market Outlook, By Transportation (2021-2030) ($MN)
  • Table 69 Global Agriculture Analytics Market Outlook, By Fertilizer Management (2021-2030) ($MN)
  • Table 70 Global Agriculture Analytics Market Outlook, By Field Planning (2021-2030) ($MN)
  • Table 71 Global Agriculture Analytics Market Outlook, By Acquaculture (2021-2030) ($MN)
  • Table 72 Global Agriculture Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 73 Global Agriculture Analytics Market Outlook, By End User (2021-2030) ($MN)
  • Table 74 Global Agriculture Analytics Market Outlook, By Agronomists (2021-2030) ($MN)
  • Table 75 Global Agriculture Analytics Market Outlook, By Farmers (2021-2030) ($MN)
  • Table 76 Global Agriculture Analytics Market Outlook, By Agricultural Researchers (2021-2030) ($MN)
  • Table 77 Global Agriculture Analytics Market Outlook, By Government Agencies (2021-2030) ($MN)
  • Table 78 Global Agriculture Analytics Market Outlook, By Agribusinesses (2021-2030) ($MN)
  • Table 79 Global Agriculture Analytics Market Outlook, By Other End Users (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.