首頁 > 市場調查報告書 > 通訊

巨量資料

市場調查報告書

商品編碼

1539628

2024 年農業巨量資料分析全球市場報告

Big Data Analytics In Agriculture Global Market Report 2024

出版日期: 2024年08月21日 | 出版商:

The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

價格

簡介目錄

農業巨量資料分析市場規模預計在未來幾年將快速成長。 2028年，將以13.3%的複合年成長率成長至21.4億美元。預測期內的預期成長與氣候變遷、技術進步、人口成長、監管變化、永續性實踐、蟲害管理和資源可用性有關。這段時期的主要趨勢包括精密農業、智慧灌溉系統、自動化機械、無人機技術、基因改造、資料主導決策和供應鏈管理區塊鏈。

精密農業的日益普及預計將推動農業巨量資料分析的成長。精密農業是一種利用技術透過密切監測和應對田間條件波動來最佳化作物生產和效率的農業管理方法。這種方法越來越受歡迎，因為它可以透過有針對性的資源投入來提高生產力、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資料來支持精密農業，為作物管理中更好的決策提供見解。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採用率從2021年的25%上升到2023年的27%。北達科他州以 57% 的招募率領先，其次是伊利諾伊州、愛荷華州、堪薩斯州、內布拉斯加州和南達科他州，每個州的招募率都在 49% 或更高。精密農業的日益普及正在推動農業市場巨量資料分析的成長。

農業巨量資料分析市場的主要企業正在建立策略合作夥伴關係，以增強人工智慧、機器學習和市場覆蓋範圍。策略夥伴關係是一種協作關係，組織結合資源、專業知識和努力來實現通用目標。例如，2023 年 9 月，以色列生物技術和人工智慧公司 Agrematch 與以色列農業化學品製造商 ICL Group Ltd. 合作，利用人工智慧尋找生物促效劑來最佳化農業。該合作夥伴關係旨在為農民提供有關肥料和其他投入使用的準確、資料驅動的建議，以最大限度地提高作物產量、提高資源效率並促進永續農業實踐。 Agrematch 利用資料科學和人工智慧，使用先進的機器學習和深度學習演算法、專有資料庫，並將這些技術與生物學、化學和農業方面的專業知識相結合。他們開發了強大的人工智慧預測平台，幫助農民推動創新、減少對環境的影響、提高生產力和永續性。

全球農業巨量資料分析市場：按組成部分分類的績效與預測，2018-2023、2023-2028、2033
解決方案
服務
全球農業巨量資料分析市場：按類型分類的績效與預測，2018-2023、2023-2028、2033
取得資料
資料儲存
資料共用
分析資料
其他類型
全球農業巨量資料分析市場：按應用、效能和預測，2018-2023、2023-2028、2033
化學品
金融
天氣
農業機械
農作物生產

第 7 章區域/國家分析

全球農業巨量資料分析市場：依地區分類的表現與預測，2018-2023、2023-2028、2033
全球農業巨量資料分析市場：依國家分類的績效與預測，2018-2023、2023-2028、2033

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章競爭格局及公司概況

農業巨量資料分析市場：競爭格局
農業巨量資料分析市場：公司簡介
- BASF SE
- International Business Machines Corporation（IBM）
- Deere & Company（John Deere）
- SAP SE
- Bayer AG

第31章其他大型創新企業

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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章重大併購

第35章前瞻性與潛力分析

第36章附錄

簡介目錄

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.

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