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市场调查报告书
商品编码
1702927

2025年全球农业巨量资料分析市场报告

Big Data Analytics In Agriculture Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年农业巨量资料分析市场规模将快速成长。到 2029 年,这一数字将成长至 24.2 亿美元,复合年增长率为 13.2%。预测期内的成长归因于气候变迁、技术进步、人口成长、监管变化、永续性实践、害虫管理和资源可用性。预测期内的关键趋势包括精密农业、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的区块链。

精密农业的日益普及预计将推动农业市场巨量资料分析的成长。精密农业是一种农业​​管理方法,透过密切监测和回应不断变化的田间条件,利用技术来优化作物生产和效率。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,为作物管理的准确决策提供见解。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%的采用率领先,其次是伊利诺州、爱荷华州、堪萨斯州、内布拉斯加州和南达科他州,采用率均在49%以上。因此,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伙伴关係,以加强他们的人工智慧、机器学习和市场覆盖范围。策略伙伴关係是一种合作关係,组织之间汇集资源、专业知识和努力以实现通用目标。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,推动人工智慧寻找生物刺激素以优化农业。该合作旨在为农民提供关于使用肥料和其他投入物的准确、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的农业实践。 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和专有资料库,将这些技术与生物、化学和农业专业知识相结合。我们开发了一个强大的人工智慧预测平台,帮助农民推动创新、减少环境影响并提高生产力和永续性。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景,包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球农业巨量资料分析PESTEL分析(政治、社会、技术、环境、法律因素、驱动因素与限制因素)
  • 最终用途产业分析
  • 全球农业巨量资料分析市场:成长率分析
  • 全球农业巨量资料分析市场表现:规模与成长,2019-2024
  • 全球农业巨量资料分析市场预测:规模与成长,2024-2029 年,2034 年
  • 农业巨量资料分析的全球总目标市场(TAM)

第六章市场区隔

  • 全球农业巨量资料分析市场:依组成部分、表现及预测,2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 服务
  • 全球农业巨量资料分析市场:按类型、表现和预测,2019-2024 年、2024-2029 年、2034 年
  • 撷取资料
  • 资料储存
  • 共用资料
  • 分析资料
  • 其他类型
  • 全球农业巨量资料分析市场:依应用、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 化学品
  • 金融
  • 天气
  • 农业机械
  • 作物生产
  • 全球农业巨量资料分析市场解决方案细分、类型、绩效及预测(2019-2024 年、2024-2029 年及 2034 年)
  • 资料管理和储存解决方案
  • 资料视觉化工具
  • 预测分析解决方案
  • 决策支援系统
  • 云端基础的解决方案
  • 农场管理软体
  • 全球农业巨量资料分析市场,按组件、实际和预测的服务细分,2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 实施服务
  • 培训和支援服务
  • 託管服务
  • 资料分析和报告服务

第七章 区域和国家分析

  • 全球农业巨量资料分析市场:依地区、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 全球农业巨量资料分析市场:依国家/地区、绩效及预测(2019-2024 年、2024-2029 年及 2034 年)

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

第十四章 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30章竞争格局与公司概况

  • 农业巨量资料分析市场:竞争格局
  • 农业市场巨量资料分析:公司简介
    • BASF SE Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation(IBM)Overview, Products and Services, Strategy and Financial Analysis
    • Deere & Company(John Deere)Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • Bayer AG Overview, Products and Services, Strategy and Financial Analysis

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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年农业市场巨量资料分析:提供新机会的国家
  • 2029年农业市场巨量资料分析:细分领域带来新机会
  • 2029年农业市场巨量资料分析:成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r29583

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 $1.3 billion in 2024 to $1.47 billion in 2025 at a compound annual growth rate (CAGR) of 13.4%. The growth in the historic period can be attributed to changing 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 $2.42 billion in 2029 at a compound annual growth rate (CAGR) of 13.2%. The growth in the forecast period can be attributed to climate change, technological advances, population growth, regulatory changes, sustainability practices, pest and disease management, and resource availability. Major trends in the forecast 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 2024. 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 2025 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.

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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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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
  • Subsegments:
  • 1) By Solution: Data Management And Storage Solutions; Data Visualization Tools; Predictive Analytics Solutions; Decision Support Systems; Cloud-Based Solutions; Farm Management Software
  • 2) By Services: Consulting Services; Implementation Services; Training and Support Services; Managed Services; Data Analysis And Reporting Services
  • 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 Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Big Data Analytics In Agriculture Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Big Data Analytics In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Big Data Analytics In Agriculture Market Growth Rate Analysis
  • 5.4. Global Big Data Analytics In Agriculture Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Big Data Analytics In Agriculture Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Big Data Analytics In Agriculture Total Addressable Market (TAM)

6. Big Data Analytics In Agriculture Market Segmentation

  • 6.1. Global Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solution
  • Services
  • 6.2. Global Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Chemical
  • Financial
  • Weather
  • Farm Equipment
  • Crop Production
  • 6.4. Global Big Data Analytics In Agriculture Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Management And Storage Solutions
  • Data Visualization Tools
  • Predictive Analytics Solutions
  • Decision Support Systems
  • Cloud-Based Solutions
  • Farm Management Software
  • 6.5. Global Big Data Analytics In Agriculture Market, Sub-Segmentation Of Services, By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation Services
  • Training and Support Services
  • Managed Services
  • Data Analysis And Reporting Services

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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Big Data Analytics In Agriculture Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Big Data Analytics In Agriculture Market

  • 8.1. Asia-Pacific Big Data Analytics In Agriculture Market Overview
  • Region Information, 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Big Data Analytics In Agriculture Market

  • 10.1. India Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Big Data Analytics In Agriculture Market

  • 12.1. Australia Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Big Data Analytics In Agriculture Market

  • 13.1. Indonesia Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Big Data Analytics In Agriculture Market

  • 16.1. UK Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Big Data Analytics In Agriculture Market

  • 17.1. Germany Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Big Data Analytics In Agriculture Market

  • 18.1. France Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Big Data Analytics In Agriculture Market

  • 19.1. Italy Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Big Data Analytics In Agriculture Market

  • 20.1. Spain Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Big Data Analytics In Agriculture Market

  • 22.1. Russia Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Big Data Analytics In Agriculture Market

  • 27.1. Brazil Big Data Analytics In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Big Data Analytics In Agriculture Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Big Data Analytics In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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 Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Deere & Company (John Deere) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Bayer AG Overview, Products and Services, Strategy and Financial Analysis

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 And Dashboard

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

34. Recent Developments In The Big Data Analytics In Agriculture Market

35. Big Data Analytics In Agriculture Market High Potential Countries, Segments and Strategies

  • 35.1 Big Data Analytics In Agriculture Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Big Data Analytics In Agriculture Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Big Data Analytics In Agriculture Market In 2029 - 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