查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1539628

2024 年农业巨量资料分析全球市场报告

Big Data Analytics In Agriculture Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

农业巨量资料分析市场规模预计在未来几年将快速成长。 2028年，将以13.3%的复合年增长率成长至21.4亿美元。预测期内的预期成长与气候变迁、技术进步、人口成长、监管变化、永续性实践、虫害管理和资源可用性有关。这段时期的主要趋势包括精密农业、智慧灌溉系统、自动化机械、无人机技术、基因改造、资料主导决策和供应链管理区块链。

精密农业的日益普及预计将推动农业巨量资料分析的成长。精密农业是一种利用技术透过密切监测和应对田间条件波动来优化作物生产和效率的农业管理方法。这种方法越来越受欢迎，因为它可以透过有针对性的资源投入来提高生产力、降低投入成本并减少对环境的影响。巨量资料分析透过分析大量资料来支持精密农业，为作物管理中更好的决策提供见解。例如，根据美国农业部2023年8月发布的报告，美国精密农业的平均采用率从2021年的25%上升到2023年的27%。北达科他州以 57% 的招募率领先，其次是伊利诺伊州、爱荷华州、堪萨斯州、内布拉斯加州和南达科他州，每个州的招募率都在 49% 或更高。精密农业的日益普及正在推动农业市场巨量资料分析的成长。

农业巨量资料分析市场的主要企业正在建立策略合作伙伴关係，以增强人工智慧、机器学习和市场覆盖范围。策略伙伴关係是一种协作关係，组织结合资源、专业知识和努力来实现通用目标。例如，2023 年 9 月，以色列生物技术和人工智慧公司 Agrematch 与以色列农业化学品製造商 ICL Group Ltd. 合作，利用人工智慧寻找生物刺激剂来优化农业。该合作伙伴关係旨在为农民提供有关肥料和其他投入使用的准确、资料驱动的建议，以最大限度地提高作物产量、提高资源效率并促进永续农业实践。 Agrematch 利用资料科学和人工智慧，使用先进的机器学习和深度学习演算法、专有资料库，并将这些技术与生物学、化学和农业方面的专业知识相结合。他们开发了强大的人工智慧预测平台，帮助农民推动创新、减少对环境的影响、提高生产力和永续性。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球农业巨量资料分析市场：驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球农业巨量资料分析市场的表现：规模与成长，2018-2023
  • 全球农业巨量资料分析市场预测：规模与成长，2023-2028 年、2033 年

第六章 市场细分

  • 全球农业巨量资料分析市场：按组成部分分類的绩效与预测，2018-2023、2023-2028、2033
  • 解决方案
  • 服务
  • 全球农业巨量资料分析市场：按类型分類的绩效与预测，2018-2023、2023-2028、2033
  • 取得资料
  • 资料储存
  • 资料共用
  • 分析资料
  • 其他类型
  • 全球农业巨量资料分析市场：按应用、效能和预测，2018-2023、2023-2028、2033
  • 化学品
  • 金融
  • 天气
  • 农业机械
  • 农作物生产

第 7 章 区域/国家分析

  • 全球农业巨量资料分析市场：依地区分類的表现与预测，2018-2023、2023-2028、2033
  • 全球农业巨量资料分析市场：依国家分類的绩效与预测，2018-2023、2023-2028、2033

第八章亚太市场

第九章 中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第14章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章 义大利市场

第20章 西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章加拿大市场

第26章 南美洲市场

第27章 巴西市场

第28章 中东市场

第29章 非洲市场

第三十章 竞争格局及公司概况

  • 农业巨量资料分析市场：竞争格局
  • 农业巨量资料分析市场：公司简介
    • BASF SE
    • International Business Machines Corporation（IBM）
    • Deere & Company（John Deere）
    • SAP SE
    • Bayer AG

第31章 其他大型创新企业

  • Yara International ASA
  • CNH Industrial NV
  • AGCO Corporation
  • Corteva Inc.
  • Hexagon AB
  • Valmont Industries Inc
  • Trimble Inc
  • NTT DATA Business Solutions AG
  • Topcon Positioning Systems Inc
  • Lindsay Corporation
  • AeroVironment Inc.
  • Raven Industries Inc
  • The Climate Corporation
  • Planet Labs PBC
  • AG Leader Technology Inc.

第32章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章前瞻性与潜力分析

第36章附录

简介目录
Product Code: r19067

Big data analytics in agriculture involves gathering, processing, and analyzing large amounts of data from various agricultural sources such as weather, soil, crop health, and machinery. This process helps make informed decisions, optimize farming practices, improve crop yields, and enhance overall farm productivity. It supports precise decision-making, which leads to optimized resource usage, increased crop yields, cost reduction, and improved sustainability.

The primary components of big data analytics in agriculture include solutions and services. Solutions refer to the software and platforms that facilitate data collection, storage, analysis, and visualization, enabling farmers and agribusinesses to make data-driven decisions for better efficiency and productivity. These components are categorized into data capturing, storing, sharing, analyzing, and other applications across chemical, financial, weather, farm equipment, and crop production sectors.

The big data analytics in agriculture market research report is one of a series of new reports from the business research company that provides big data analytics in agriculture market statistics, including big data analytics in agriculture industry global market size, regional shares, competitors with an big data analytics in agriculture market share, detailed big data analytics in agriculture market segments, market trends and opportunities, and any further data you may need to thrive in the big data analytics in agriculture industry. This big data analytics in agriculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The big data analytics in agriculture market size has grown rapidly in recent years. It will grow from $1.15 billion in 2023 to $1.30 billion in 2024 at a compound annual growth rate (CAGR) of 13.1%. The growth during the historic period can be attributed to various factors such as shifting weather patterns, soil health, crop yields, pest and disease outbreaks, technological adoption, market prices, and water usage.

The big data analytics in agriculture market size is expected to see rapid growth in the next few years. It will grow to $2.14 billion in 2028 at a compound annual growth rate (CAGR) of 13.3%. The anticipated growth in the forecast period can be linked to climate change, technological advancements, population increase, regulatory changes, sustainability practices, pest and disease management, and resource availability. Key trends expected in this period include precision agriculture, smart irrigation systems, automated machinery, drone technology, genetic modification, data-driven decision-making, and blockchain for supply chain management.

The increasing adoption of precision farming is expected to drive the growth of big data analytics in the agriculture market. Precision farming is an agricultural management approach that uses technology to optimize crop production and efficiency by closely monitoring and responding to variations in field conditions. This method is gaining popularity due to its ability to boost productivity, lower input costs, and reduce environmental impact through targeted resource application. Big data analytics supports precision farming by analyzing vast amounts of data to provide insights for precise decision-making in crop management. For instance, a report published by the United States Department of Agriculture in August 2023 indicated that the average adoption of precision agriculture in the US increased from 25% in 2021 to 27% in 2023. North Dakota leads with an adoption rate of 57%, followed by states such as Illinois, Iowa, Kansas, Nebraska, and South Dakota, each with rates of 49% or higher. Thus, the growing adoption of precision farming is set to boost the growth of big data analytics in the agriculture market.

Major companies in the big data analytics agriculture market are forming strategic partnerships to enhance AI, machine learning, and market reach. A strategic partnership is a collaborative relationship where organizations combine resources, expertise, and efforts to achieve common goals. For example, in September 2023, Agrematch, an Israeli biotechnology and AI company, partnered with ICL Group Ltd., an Israeli agrochemical manufacturer, to advance AI in searching for biostimulants to optimize agriculture. This collaboration aims to maximize crop yields, improve resource efficiency, and promote sustainable farming practices by providing farmers with precise, data-driven recommendations for using fertilizers and other inputs. Agrematch leverages data science and AI, using advanced machine and deep learning algorithms, a proprietary database, and integrating these technologies with expertise in biology, chemistry, and agriculture. They have developed a robust AI predictive platform to drive innovation, reduce environmental impact, and support farmers in improving productivity and sustainability.

In October 2023, Ever.Ag, a U.S.-based agricultural software provider, acquired Austin Data Labs for an undisclosed amount. This acquisition aims to enhance Ever.Ag's agricultural software solutions with advanced data analytics capabilities to optimize supply chain management and promote sustainability in global food systems. Austin Data Labs is a U.S.-based data analytics solutions company for the agricultural sector.

Major companies operating in the big data analytics in agriculture market are BASF SE, International Business Machines Corporation (IBM), Deere & Company (John Deere), SAP SE, Bayer AG, Yara International ASA, CNH Industrial NV, AGCO Corporation, Corteva Inc. , Hexagon AB, Valmont Industries Inc, Trimble Inc, NTT DATA Business Solutions AG, Topcon Positioning Systems Inc, Lindsay Corporation, AeroVironment Inc., Raven Industries Inc, The Climate Corporation, Planet Labs PBC, AG Leader Technology Inc., Farmers Edge Inc, PrecisionHawk Inc., Prospera Technologies, Descartes Labs, Agribotix LLC, AgDNA, OnFarm Systems, Conservis LLC

North America was the largest region in the big data analytics in agriculture market in 2023. The regions covered in the big data analytics in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the big data analytics in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data analytics in agriculture market consists of revenues earned by entities by providing services such as predictive analytics, precision farming, remote sensing, crop monitoring, and data-driven decision support systems. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data analytics in agriculture market also includes sales of sensors, drones, GPS devices, IoT-enabled equipment, data management platforms, and advanced analytics software. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Big Data Analytics In Agriculture Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on big data analytics in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for big data analytics in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The big data analytics in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Solution; Services
  • 2) By Type: Capturing Data; Storing Data; Sharing Data; Analyzing Data; Other Types
  • 3) By Application: Chemical; Financial; Weather; Farm Equipment; Crop Production
  • Companies Mentioned: BASF SE; International Business Machines Corporation (IBM); Deere & Company (John Deere); SAP SE; Bayer AG
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Big Data Analytics In Agriculture Market Characteristics

3. Big Data Analytics In Agriculture Market Trends And Strategies

4. Big Data Analytics In Agriculture Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Big Data Analytics In Agriculture Market Size and Growth

  • 5.1. Global Big Data Analytics In Agriculture Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Big Data Analytics In Agriculture Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Big Data Analytics In Agriculture Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Big Data Analytics In Agriculture Market Segmentation

  • 6.1. Global Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solution
  • Services
  • 6.2. Global Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Capturing Data
  • Storing Data
  • Sharing Data
  • Analyzing Data
  • Other Types
  • 6.3. Global Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Chemical
  • Financial
  • Weather
  • Farm Equipment
  • Crop Production

7. Big Data Analytics In Agriculture Market Regional And Country Analysis

  • 7.1. Global Big Data Analytics In Agriculture Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Big Data Analytics In Agriculture Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Big Data Analytics In Agriculture Market

  • 8.1. Asia-Pacific Big Data Analytics In Agriculture Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Big Data Analytics In Agriculture Market

  • 9.1. China Big Data Analytics In Agriculture Market Overview
  • 9.2. China Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Big Data Analytics In Agriculture Market

  • 10.1. India Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Big Data Analytics In Agriculture Market

  • 11.1. Japan Big Data Analytics In Agriculture Market Overview
  • 11.2. Japan Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Big Data Analytics In Agriculture Market

  • 12.1. Australia Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Big Data Analytics In Agriculture Market

  • 13.1. Indonesia Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Big Data Analytics In Agriculture Market

  • 14.1. South Korea Big Data Analytics In Agriculture Market Overview
  • 14.2. South Korea Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Big Data Analytics In Agriculture Market

  • 15.1. Western Europe Big Data Analytics In Agriculture Market Overview
  • 15.2. Western Europe Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Big Data Analytics In Agriculture Market

  • 16.1. UK Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Big Data Analytics In Agriculture Market

  • 17.1. Germany Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Big Data Analytics In Agriculture Market

  • 18.1. France Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Big Data Analytics In Agriculture Market

  • 19.1. Italy Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Big Data Analytics In Agriculture Market

  • 20.1. Spain Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Big Data Analytics In Agriculture Market

  • 21.1. Eastern Europe Big Data Analytics In Agriculture Market Overview
  • 21.2. Eastern Europe Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Big Data Analytics In Agriculture Market

  • 22.1. Russia Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Big Data Analytics In Agriculture Market

  • 23.1. North America Big Data Analytics In Agriculture Market Overview
  • 23.2. North America Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Big Data Analytics In Agriculture Market

  • 24.1. USA Big Data Analytics In Agriculture Market Overview
  • 24.2. USA Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Big Data Analytics In Agriculture Market

  • 25.1. Canada Big Data Analytics In Agriculture Market Overview
  • 25.2. Canada Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Big Data Analytics In Agriculture Market

  • 26.1. South America Big Data Analytics In Agriculture Market Overview
  • 26.2. South America Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Big Data Analytics In Agriculture Market

  • 27.1. Brazil Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Big Data Analytics In Agriculture Market

  • 28.1. Middle East Big Data Analytics In Agriculture Market Overview
  • 28.2. Middle East Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Big Data Analytics In Agriculture Market

  • 29.1. Africa Big Data Analytics In Agriculture Market Overview
  • 29.2. Africa Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Big Data Analytics In Agriculture Market Competitive Landscape And Company Profiles

  • 30.1. Big Data Analytics In Agriculture Market Competitive Landscape
  • 30.2. Big Data Analytics In Agriculture Market Company Profiles
    • 30.2.1. BASF SE
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. International Business Machines Corporation (IBM)
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Deere & Company (John Deere)
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. SAP SE
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Bayer AG
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Big Data Analytics In Agriculture Market Other Major And Innovative Companies

  • 31.1. Yara International ASA
  • 31.2. CNH Industrial NV
  • 31.3. AGCO Corporation
  • 31.4. Corteva Inc.
  • 31.5. Hexagon AB
  • 31.6. Valmont Industries Inc
  • 31.7. Trimble Inc
  • 31.8. NTT DATA Business Solutions AG
  • 31.9. Topcon Positioning Systems Inc
  • 31.10. Lindsay Corporation
  • 31.11. AeroVironment Inc.
  • 31.12. Raven Industries Inc
  • 31.13. The Climate Corporation
  • 31.14. Planet Labs PBC
  • 31.15. AG Leader Technology Inc.

32. Global Big Data Analytics In Agriculture Market Competitive Benchmarking

33. Global Big Data Analytics In Agriculture Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Big Data Analytics In Agriculture Market

35. Big Data Analytics In Agriculture Market Future Outlook and Potential Analysis

  • 35.1 Big Data Analytics In Agriculture Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Big Data Analytics In Agriculture Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Big Data Analytics In Agriculture Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer