2025年全球農業巨量資料分析市場報告

近年來，農業巨量資料分析市場規模迅速擴張，從2024年的13億美元成長到2025年的14.6億美元，複合年成長率達12.5%。預測期內的成長歸因於氣候模式、土壤健康、作物產量、病蟲害爆發、技術應用、市場價格和用水量的變化。

預計未來幾年，農業巨量資料分析市場將快速成長，到2029年市場規模將達23.2億美元，複合年成長率（CAGR）為12.3%。預測期內的成長主要歸因於氣候變遷、技術進步、人口成長、監管政策變遷、永續性實踐、病蟲害防治以及資源可用性。預測期內的關鍵趨勢包括精密農業、智慧灌溉系統、自動化機械、無人機技術、基因改造、數據主導決策以及區塊鏈在供應鏈管理中的應用。

未來五年12.3%的成長率預測較我們先前對該市場的預測略微下調了0.9%。這一下調主要歸因於美國與其他國家之間的關稅影響。由於關稅影響了用於精密農業的邊緣運算設備和遙感軟體的進口，美國農業科技產業在部署巨量資料解決方案方面可能會遇到延誤。此外，由於相互關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

精密農業的日益普及預計將推動農業市場巨量資料分析的發展。精密農業是一種基於技術的農業管理方法，它透過密切監測並應對田間條件的變化來最佳化作物產量和效率。這種方法之所以越來越受歡迎，是因為它可以透過有針對性的資源應用來提高生產力、降低投入成本並減少對環境的影響。巨量資料分析透過分析大量數據來提供洞察，從而為更佳的作物管理決策提供支持，進而助力精密農業。例如，根據美國農業部2023年8月發布的報告，美國精密農業的平均普及率從2021年的25%上升到2023年的27%。北達科他州以57%的普及率位居榜首，其次是伊利諾州、愛荷華州、堪薩斯州、內布拉斯加州和南達科他州，它們的普及率都超過49%。因此，精密農業的日益普及正在推動農業市場巨量資料分析的發展。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球農業巨量資料分析：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
• 終端用戶產業分析
• 全球農業巨量資料分析市場：成長率分析
• 全球農業巨量資料分析市場表現：規模與成長，2019-2024年
• 全球農業巨量資料分析市場預測：規模與成長，2024-2029年，2034年預測
• 全球農業巨量資料分析：潛在市場規模（TAM）

第6章 市場細分

• 全球農業巨量資料分析市場：依組成部分分類，實際值及預測值，2019-2024年、2024-2029年預測值、2034年預測值
• 解決方案
• 服務
• 全球農業巨量資料分析市場：按類型、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
• 數據採集
• 資料儲存
• 數據共用
• 分析數據
• 其他類型
• 全球農業巨量資料分析市場：按應用、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
• 化學品
• 金融
• 天氣
• 農業設備
• 農作物生產
• 全球農業巨量資料分析市場：按解決方案類型細分、實際結果和預測（2019-2024 年、2024-2029 年預測、2034 年預測）。
• 資料管理和儲存解決方案
• 數據視覺化工具
• 預測分析解決方案
• 決策支援系統
• 雲端基礎的解決方案
• 農場管理軟體
• 全球農業巨量資料分析市場：細分服務（按組件分類）、實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
• 諮詢服務
• 實施服務
• 培訓和支援服務
• 託管服務
• 數據分析和報告服務

第7章 區域和國家分析

• 全球農業巨量資料分析市場：依地區、績效及預測分類，2019-2024年、2024-2029年預測、2034年預測
• 全球農業巨量資料分析市場：依國家、表現及預測分類，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

• 農業巨量資料分析：競爭格局
• 農業巨量資料分析市場：公司概況
  • 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：其他領先和創新企業

• 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

• 2029年農業巨量資料分析市場：提供新機會的國家
• 2029年農業巨量資料分析市場：新興細分領域蘊藏新的機會
• 2029年農業巨量資料分析市場：成長策略
  • 基於市場趨勢的策略
  • 競爭對手策略

第36章附錄

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $1.46 billion in 2025 at a compound annual growth rate (CAGR) of 12.5%. 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 $2.32 billion in 2029 at a compound annual growth rate (CAGR) of 12.3%. 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 forecast of 12.3% growth over the next five years reflects a modest reduction of 0.9% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. The US agri-tech sector may suffer delays in deploying big data solutions as tariffs impact imports of edge computing devices and remote sensing software used in precision farming. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

• 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.
• 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; 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
• 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

• 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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