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2030 年農業分析市場預測 - 按類型、農業類型、組件類型、農場規模、技術、用途、最終用戶和地區進行的全球分析
市場調查報告書
商品編碼
1339924

2030 年農業分析市場預測 - 按類型、農業類型、組件類型、農場規模、技術、用途、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球農業分析市場規模為 14 億美元，預計到 2030 年將達到 37.4 億美元，預測期內年複合成長率為 15.1%。

農業分析為接收者提供相關、準確、及時且易於理解的產品，如市場資訊、經濟分析、統計諮詢和科學研究。農業分析服務的接受者可以提高業務效率，更好地了解當前的商品市場環境，評估新的行銷機會，改善物流和科學營運，管理風險，並為複雜的行銷和生產問題創造性的解決方案。通過使用資料科學，正在開發更先進的農業監測系統。

據聯合國糧食及農業組織統計，2019年，巴西水稻種植面積佔南美洲所有水稻種植面積的65-70%。該國生產52%的灌溉稻、38%的雨養稻和92%的旱稻。

最尖端科技的增加

農業分析利用巨量資料、人工智慧、雲端運算和物聯網等最尖端科技來管理和自動化農業活動，包括農作物、田地、動物等。世界對糧食需求的不斷成長導致了現代農業技術的使用。由於人口的快速成長，未來的糧食消費量將增加一倍。因此，預計農業分析技術的使用將有助於解決未來該領域的問題。耕地面積也呈減少趨勢。都市化、水資源短缺、氣候變化和人口成長對農業用地產生顯著的負面影響。

高成本準確的現場資料採集

獲取準確的現場資料的高昂成本是人工智慧在農業中應用的主要障礙。農民對於使用人工智慧技術獲取準確的田間資料猶豫不決。這是因為人工智慧技術需要高昂的初始成本、有效的農業機械以及合格且經驗豐富的農民和生產者。與人工智慧農業相關的支出中只有兩項是高成本的空間資料收集和培訓。無人機和自動曳引機採用 GPS 技術進行導航和測繪，但成本高昂且需要大量初始投資。

擴大農業分析在大型農場的使用

由於農業分析易於使用且能夠提高盈利能力，因此擴大在大型農場中使用，這對整個行業來說是積極的。大型農場進行複雜的商業運作並產生大量資訊，農業分析服務提供商幫助管理這些資料。因此，市場正在擴大，並可能繼續為農業分析行業的成長做出重要貢獻。此外，各國政府不斷加大對農民的教育、利用農業分析來提高農作物產量以及解決不穩定的氣候波動和環境問題，正在推動市場成長。

技術知識和技能差距

擴大農業分析領域的重大障礙包括缺乏技術意識和技能差距。一個主要問題是農民和其他農業相關人員缺乏對農業分析的潛在好處的了解和理解。許多人可能不熟悉資料分析的原理以及它如何提高生產力和決策。農業分析解決方案的採用可能會因缺乏知識而受到阻礙，因為潛在用戶可能不會認為農業分析解決方案有益或將其應用到他們的營運中。

新冠肺炎 (COVID-19) 影響：

農業部門在停工期間繼續表現良好。印度政府已採取一切必要措施，確保農業相關業務順利開展。農業和相關企業受到保護，免於停工。為了向農民提供投入品，經銷商、商店和其他投入品相關企業被允許免費營運。冠狀病毒大流行（COVID-19）的爆發和蔓延嚴重擾亂了全球經濟，導致全球所有部門失衡。

農場分析領域預計將在預測期內成為最大的領域

隨著農業專業人士將人工智慧和資料科學整合，對農場進行預測分析，以獲得對農業環境的重要見解，農場分析領域預計將出現利潤豐厚的成長。基於訂閱的服務的趨勢試圖降低農民的成本，同時提供即時作物狀態通知以及預測建模和營運最佳化，使他們能夠完全控制未來的收成。 Ag-Analytics 和其他企業正在利用精密農業資料的見解來解決對天氣影響的擔憂。該項目利用 Farm Scope 等技術，整合了多個資訊來源的資料，包括衛星、土壤、天氣、歷史作物和農場設備資料，以評估農田的當前狀況並預測未來的生產力。

預計農學家在預測期內的年複合成長率最高

農學家對於農業分析至關重要，因為他們利用資料來改進農業實踐、最大限度地提高產量並確保農業系統的永續。專門研究作物生產和土壤管理的科學和應用的專業人員被稱為農學家。農學家與農民密切合作，就與作物生產相關的各種問題提供知識豐富的指導和幫助。他們使用農業分析來評估從田間收集的資訊，例如土壤樣本、天氣模式和作物表現資料。

佔比最大的地區：

預計亞太地區在預測期內將佔據最大的市場佔有率。這是由於政府加大了自動化和改進農業實踐的力度，增加了對農業分析的需求。此外，快速成長的人口正在推動最尖端科技的部署，以提高產量。政府對使用現代農業方法的激勵措施不斷增加，全球糧食需求不斷成長帶來的壓力越來越大，以及不可預測的氣候變化和環境條件正在推動農業分析領域的擴張。

複合年複合成長率最高的地區：

由於人工智慧、雲端運算、資料分析、巨量資料和其他技術供應商高度集中，歐洲預計在預測期內年複合成長率最高。隨著最尖端科技的使用增加和大量資料的獲取，農民和相關企業正在採用分析來獲得更深入的操作知識並做出資訊的決策。看起來像這樣。對新鮮優質食品不斷成長的需求正在推動農業行業利用農業分析。該地區的農業分析市場是由數位技術的普及、基礎設施的快速擴張以及對資料驅動解決方案的需求推動的，從而推動了該地區的市場成長。

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

  • 概述
  • 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
    • 主要調查來源
    • 二次調查來源
    • 假設

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
  • 用途分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（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 全球農業分析市場：按類型

  • 農場分析
  • 牲畜分析
  • 其他類型

第6章 全球農業分析市場：按農業類型

  • 水產養殖
    • 飼養管理
    • 水質管理
    • 病蟲害管理
    • 曝氣系統
    • 魚類追蹤和船隊導航
    • 品管和可追溯性
  • 家畜
    • 熱應激管理
    • 牛奶收穫
    • 養殖管理
    • 行為監控與管理
    • 即時監控
    • 犢牛管理
    • 飼養管理
    • 其他牲畜
  • 精密農業
    • 農場勞動力管理
    • 可變利率技術
    • 決策支持系統
    • 灌溉和水管理
    • 土壤健康分析
    • 產量監測和預測
  • 垂直農業
    • 營養管理
    • 資源規劃和最佳化
    • 種植和播種
    • 永續性和環境監測
    • 分級和行銷
    • 供應鏈管理
      • 運輸管理
      • 庫存控制
      • 管理訂單交付和申請
    • 其他垂直農業方法
  • 其他農業類型

第7章 全球農業分析市場：按組件類型

  • 服務
    • 專業的服務
      • 培訓和諮詢
      • 系統整合與實施
      • 支持與維護
    • 管理服務
      • 農場管理服務
      • 資料服務
      • 分析服務
  • 解決方案

第8章 全球農業分析市場：按農場規模

  • 中小型農場
  • 大型農場

第9章 全球農業分析市場：按技術分類

  • 巨量資料和雲端運算
  • 可視化和報告
  • 機器人和自動化
  • 遙感和衛星圖像
  • 區塊鏈技術
  • 地理資訊系統
  • 其他技術

第10章 全球農業分析市場：按用途

  • 作物管理
  • 天氣資料分析
  • 灌溉和水管理
  • 運輸
  • 肥料管理
  • 實地規劃
  • 水產養殖
  • 其他用途

第11章全球農業分析市場：按最終用戶分類

  • 農學家
  • 農民
  • 農業研究員
  • 政府機關
  • 農業綜合企業
  • 其他最終用戶

第12章全球農業分析市場：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
  • 中東和非洲
    • 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13章進展

  • 契約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第14章公司簡介

  • 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.