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巨量資料

市場調查報告書

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1370755

石油與天然氣市場巨量資料 - 2018-2028 年全球產業規模、佔有率、趨勢、機會與預測，按組成部分、按應用、按資料類型、按地區細分

Big Data in Oil & Gas Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Components, By Application, By Data Type, By Region

出版日期: 2023年10月03日 | 出版商:

TechSci Research | 英文 174 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

預計 2024 年至 2028 年預測期內，全球石油和天然氣市場巨量資料將穩定成長。

巨量資料分析的大量數據處理功能推動市場成長

市場概況
預測期	2024-2028
2022 年市場規模	70.1億美元
2028 年市場規模	268.7億美元
2023-2028 年年複合成長率	25.05%
成長最快的細分市場	軟體
最大的市場	北美洲

許多產業仍在適應大資料和分析的概念。然而，石油和天然氣行業一直是這些服務的最大用戶之一，因為它使用大量資料來做出技術決策。為了了解動態並向市場展示新技術，過去幾年，各能源公司在視覺化工具、地震軟體和其他數位技術上投入了大量資金。

由於大資料分析是超過 88% 的公司的首要目標之一，因此只有約三分之一的企業準備提供該服務。海量資料是推動全球大資料產業的主要因素之一。公司需要大資料解決方案來自動記錄其資訊技術系統中保存的資料的行為和效能。大多數企業利用大資料分析來監控其資產和設備、識別營運問題並促進修復。超過 60% 的企業已實施網路自動化，以在分散的環境（例如管道沿線或遠端農場）中收集大量資料。

石油和汽油公司可以透過正確的技術解決方案從傳統的即時監控過渡到更快的即時預測。他們還提供戰術見解，有助於提高生產和鑽井性能，同時透過快速審查傳入的技術和業務資料並將這些資訊即時應用於複雜模型來避免問題。由於上述原因，預計市場在預測期內將進一步成長。

日益成長的環境和公共安全擔憂

如上所述，石油和汽油業務在日常營運中產生大量資料。石油和天然氣最佳化過程面臨許多挑戰。例如，在地表下尋找石油是一個非常困難的過程，油藏通常位於地球表面下 5,000 至 35,000 英尺處。定位和描述儲層的唯一方法是透過低解析度影像和昂貴的測井曲線（在鑽井之後）。雖然流體本身俱有複雜的化學和物理特性，但透過岩石移動到井眼是一項艱鉅的挑戰。為了解決這個問題，各國的公司和政府正在轉向大資料技術。由於這些因素，預計市場在預測期內將出現較高的年複合成長率。

從地下區域開採石油需要花費大量成本。生產一桶石油時必須考慮成本、數量和市場准入，這需要大量的科學、設備和勞動力。在石油探勘過程中可能會出現對環境和公共安全的擔憂。因此，為了解決這個問題，人們正在採用大資料技術，因此預計市場在預測期內將出現較高的年複合成長率。

巨量資料可顯著降低風險並最佳化與營運以及健康、安全和環境相關的成本：幫助避免鑽井時出現不良後果（例如井湧）、預測鑽機維護/停機時間、改善鑽機參數、避免井噴、避免產生危險的工作條件並減少透過使用天氣資料或勞動力調度資訊來識別環境危害。

石油和天然氣產業投資不斷成長推動市場成長

目前，石油需求的成長和油氣產業投資的增加日益受到關注，油田巨量資料的需求也在快速成長。例如，在本會計年度，印度石油公司和巴拉特石油公司 (BPCL) 已經超越了其資本支出目標。根據石油部的資料，4月至2月期間，印度石油公司支出了1.524億美元（約合3180億盧比），而全年資本計劃為34.76億美元，BPCL支出了12.516億美元，超出了其目標（1,217.5美元）。百萬）10,00 億盧比。此外，儘管石油輸出國組織（OPEC）限制產量，但阿布達比未來五年仍將在石油和天然氣領域投資4,480億迪拉姆（1,220億美元），以提高產能。阿布達比是阿美石油公司自 2019 年底上市以來的首筆重大投資，當時沙烏地阿拉伯政府以 294 億美元的價格出售了該公司的少數股權，這是全球規模最大的首次公開募股。因此，全球石油和天然氣產業對大資料分析的需求不斷成長。

市場區隔

石油和天然氣市場的全球巨量資料分為組件、應用程式、資料類型和區域。根據組件，市場進一步分為硬體、軟體和服務。根據應用，市場進一步分為上游、中游和下游。根據資料類型，市場進一步分為結構化、非結構化、半結構化。依地區分類，市場分為北美、亞太、歐洲、南美、中東和非洲。

市場參與者

全球石油和天然氣巨量資料市場的主要市場參與者包括埃森哲 PLC、思科系統公司、戴爾 EMC、惠普企業、IBM、微軟、甲骨文公司、SAP 集團、SAS Institute Inc、Teradata 和 Hitachi Vantara。

報告範圍：

在本報告中，除了下面詳細介紹的產業趨勢外，石油和天然氣市場的全球巨量資料還分為以下幾類。

石油和天然氣市場巨量資料（按組成部分）：

硬體
軟體
服務

石油和天然氣市場巨量資料（按應用）：

上游
中游
下游

石油和天然氣市場的巨量資料，依數據類型：

結構化非結構化
半結構化

石油和天然氣市場巨量資料（按地區）：

北美洲
美國
加拿大
墨西哥
亞太
中國
印度
日本
韓國
印尼
歐洲
德國
英國
法國
俄羅斯
西班牙
南美洲
巴西
阿根廷
中東和非洲
沙烏地阿拉伯
南非
埃及
阿拉伯聯合大公國
以色列

競爭格局

公司概況：全球石油和天然氣市場巨量資料中主要公司的詳細分析。

可用的客製化：

根據給定的市場資料，TechSci Research 可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

其他市場參與者（最多五個）的詳細分析和概況分析。

埃森哲公司
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
思科系統公司
- Business Overview
- Key Revenue and Financials
- Recent Developments
- Key Personnel
- Key Product/Services
戴爾易安信
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
惠普企業
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
國際商業機器公司
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
微軟
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
甲骨文公司
- Business Overview
- Key Revenue and Financials
- Recent Developments
- Key Personnel
- Key Product/Services
SAP集團
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
SAS 研究所公司
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
泰拉數據
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services
日立萬塔拉
- Business Overview
- Key Revenue and Financials (If Available)
- Recent Developments
- Key Personnel
- Key Product/Services

第 15 章：策略建議

第 16 章：關於我們與免責聲明

簡介目錄

Product Code: 15336

Global Big Data in Oil & Gas Market is expected to grow at a steady pace in the forecast period, 2024-2028.

Big Data, also known as Big Data analytics, is a relatively new technology that can be utilized to manage enormous datasets that have six key characteristics: volume, variety, velocity, veracity, value, and complexity. The processors in these reliable technologies must be very quick and accurate. The oil and gas sector has recently undergone a significant data intensive transformation because of the widespread use of data recording devices in exploration, drilling and production processes. Applications of big data in the oil and gas industry include improving reservoir characterization / simulation, reducing drilling time, increasing drilling safety, optimizing the performance of production pumps, improving petrochemical asset management, improving shipping and transportation, and improving workplace safety. Additionally, Big Data offers oil and gas companies a number of advantages, including the potential to extract more oil and gas from hydrocarbon reserves, lower capital and operating costs, boost the speed and accuracy of investment choices, enhance worker safety and health, and reduce environmental concerns.

Large Amount of Data Handling Feature of Big-Data Analytics Driving the Market Growth

Market Overview
Forecast Period	2024-2028
Market Size 2022	USD 7.01 Billion
Market Size 2028	USD 26.87 Billion
CAGR 2023-2028	25.05%
Fastest Growing Segment	Software
Largest Market	North America

Numerous industries are still adjusting to the concept of big data and analytics. However, the oil and gas industry has been one of the biggest users of these services since it uses a lot of data to reach technical decisions. To comprehend dynamics and present new technologies to the market, various energy corporations have heavily invested in visualization tools, seismic software, and other digital technologies during the past few years.

As big data analytics is one of the top goals for more than 88% of the companies, only about one-third of the businesses are prepared to provide the service. Large amounts of data are one of the main factors driving the global big data industry. Companies need big data solutions to automatically record the behavior and performance of the data kept in their information technology systems. The majority of businesses utilize big data analytics to monitor their assets and equipment, identify operational problems, and facilitate repair. Over 60% have enforced network automation to assemble a large amount of data in diffused environments such as along pipelines or remote farms.

Oil and gasoline firms can transition from traditional real-time monitoring to quicker real-time prediction with the right technological solutions. They also produce tactical insights that aid in boosting production and drilling performance while averting problems by quickly reviewing incoming technical and business data and implementing that information to complex models in real-time. Owing to above mentioned reasons, the market is expected to grow further during the forecast period.

Growing Environmental & Public Safety Concern

As mentioned above, the oil and petrol business generate a significant amount of data from daily operations. There are many challenges in the oil & gas optimization process. For instance, finding oil below the surface is a very difficult process, reservoirs are generally 5,000 to 35,000 feet below the Earth's surface. The only ways to locate and describe the reservoirs are through low-resolution imagery and pricey well logs (after the wells are drilled). While fluids themselves are intricate with a variety of chemical and physical characteristics, moving via rock to the wellbore is a difficult challenge. To eliminate this problem, companies & governments of various nations are moving toward big data technology. Owing to these factors, the market is expected to register a high CAGR during the forecast period.

It costs a lot to generate oil from the sub-surface area. Cost, quantity, and market accessibility must all be considered while producing a barrel of oil, which requires a significant amount of science, equipment, and labor. Concerns about the environment and public safety may arise during oil exploration. Hence, to resolve this issue people are adopting big data technology owing to which the market is expected to register a high CAGR during the forecast period.

Big Data dramatically lowers risk and optimizes cost associated with operations and health, safety, and environment: Help Avoid undesirable outcomes while drilling, such as kicks, predicting drill maintenance/downtime, improving drill parameters, avoiding blowouts, ducking produced hazardous working conditions and reducing environmental hazards by using weather data or workforce scheduling information.

Growing Investment in Oil & Gas Sector Fueling the Market Growth

As of now, growing demand for oil and increasing investment in the oil & gas sector is gaining traction due to which need of Big Data in oil field is also growing rapidly. For instance, for the current financial year, Indian Oil Corp., and Bharat Petroleum (BPCL) have exceeded their capital spending goals. According to data from the oil ministry, between April and February, India Oil spent USD 152.4 million (Rs 31,800 crore) compared to the entire year's capital plan of USFD 3476 million, and BPCL spent USD 1251.6 million, exceeding its aim of (USD 1217.5 Million) Rs 10,000 crore. Moreover, even though OPEC (Organization of the Petroleum Exporting Countries) is restricting its output, Abu Dhabi will invest 448 billion dirhams (USD 122 billion) in oil and natural gas in order to increase production capacity, over the next five years. Abu Dhabi is the first major investment by Aramco since its listing in late 2019 when the Saudi government sold a minority stake in the firm for USD 29.4 billion in the world's biggest initial public offering. Owing to which, the global need of big data analytics is growing in the oil & gas sector.

Market Segmentation

The Global Big Data in Oil & Gas Market is divided into component, application, data type, and region. Based on component, the market is further divided into hardware, software and service. Based on application, the market is further split into upstream, midstream and downstream. Based on data type, the market is further divided into Structured, Unstructured, Semi-Structured. Based on region, the market is divided into North America, Asia-Pacific, Europe, South America, Middle East & Africa.

Market Players

Major market players in the Global Big Data in Oil & Gas Market are Accenture PLC, Cisco Systems, Inc, Dell EMC, Hewlett-Packard Enterprise, IBM, Microsoft, Oracle Corporation, SAP Group, SAS Institute Inc, Teradata, and Hitachi Vantara.

Report Scope:

In this report, the Global Big Data in Oil & Gas Market has been segmented into following categories, in addition to the industry trends which have also been detailed below.

Big Data in Oil & Gas Market, By Component:

Hardware
Software
Service

Big Data in Oil & Gas Market, By Application:

Upstream
Midstream
Downstream

Big Data in Oil & Gas Market, By Data Type:

Structured Unstructured
Semi-Structured

Big Data in Oil & Gas Market, By Region:

North America
United States
Canada
Mexico
Asia-Pacific
China
India
Japan
South Korea
Indonesia
Europe
Germany
United Kingdom
France
Russia
Spain
South America
Brazil
Argentina
Middle East & Africa
Saudi Arabia
South Africa
Egypt
UAE
Israel

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data in Oil & Gas Market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

1. Service Overview

1.1. Market Definition
1.2. Scope of the Market
1.3. Markets Covered
1.4. Years Considered for Study
1.5. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations

3. Impact of COVID-19 on Global Big Data in Oil & Gas Market

4. Executive Summary

5. Voice of Customers

6. Global Big Data in Oil & Gas Market Outlook

6.1. Market Size & Forecast
- 6.1.1. By Value
6.2. Market Share & Forecast
- 6.2.1. By Components (Hardware, Software, Service)
- 6.2.2. By Application (Upstream, Midstream, Downstream)
- 6.2.3. By Data Type (Structure, Unstructured, Semi-Structured)
- 6.2.4. By Region
6.3. By Company (2022)
6.4. Market Map

7. North America Big Data in Oil & Gas Market Outlook

7.1. Market Size & Forecast
- 7.1.1. By Value
7.2. Market Share & Forecast
- 7.2.1. By Component
- 7.2.2. By Application
- 7.2.3. By Data Type
- 7.2.4. By Country
7.3. North America: Country Analysis
- 7.3.1. United States Big Data in Oil & Gas Market Outlook
  - 7.3.1.1. Market Size & Forecast
    - 7.3.1.1.1. By Value
  - 7.3.1.2. Market Share & Forecast
    - 7.3.1.2.1. By Component
    - 7.3.1.2.2. By Application
    - 7.3.1.2.3. By Data Type
- 7.3.2. Canada Big Data in Oil & Gas Market Outlook
  - 7.3.2.1. Market Size & Forecast
    - 7.3.2.1.1. By Value
  - 7.3.2.2. Market Share & Forecast
    - 7.3.2.2.1. By Component
    - 7.3.2.2.2. By Application
    - 7.3.2.2.3. By Data Type
- 7.3.3. Mexico Big Data in Oil & Gas Market Outlook
  - 7.3.3.1. Market Size & Forecast
    - 7.3.3.1.1. By Value
  - 7.3.3.2. Market Share & Forecast
    - 7.3.3.2.1. By Component
    - 7.3.3.2.2. By Application
    - 7.3.3.2.3. By Data Type

8. Asia-Pacific Big Data in Oil & Gas Market Outlook

8.1. Market Size & Forecast
- 8.1.1. By Value
8.2. Market Share & Forecast
- 8.2.1. By Component
- 8.2.2. By Application
- 8.2.3. By Data Type
- 8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
- 8.3.1. China Big Data in Oil & Gas Market Outlook
  - 8.3.1.1. Market Size & Forecast
    - 8.3.1.1.1. By Value
  - 8.3.1.2. Market Share & Forecast
    - 8.3.1.2.1. By Component
    - 8.3.1.2.2. By Application
    - 8.3.1.2.3. By Data Type
- 8.3.2. India Big Data in Oil & Gas Market Outlook
  - 8.3.2.1. Market Size & Forecast
    - 8.3.2.1.1. By Value
  - 8.3.2.2. Market Share & Forecast
    - 8.3.2.2.1. By Component
    - 8.3.2.2.2. By Application
    - 8.3.2.2.3. By Data Type
- 8.3.3. Japan Big Data in Oil & Gas Market Outlook
  - 8.3.3.1. Market Size & Forecast
    - 8.3.3.1.1. By Value
  - 8.3.3.2. Market Share & Forecast
    - 8.3.3.2.1. By Component
    - 8.3.3.2.2. By Application
    - 8.3.3.2.3. By Data Type
- 8.3.4. South Korea Big Data in Oil & Gas Market Outlook
  - 8.3.4.1. Market Size & Forecast
    - 8.3.4.1.1. By Value
  - 8.3.4.2. Market Share & Forecast
    - 8.3.4.2.1. By Component
    - 8.3.4.2.2. By Application
    - 8.3.4.2.3. By Data Type
- 8.3.5. Indonesia Big Data in Oil & Gas Market Outlook
  - 8.3.5.1. Market Size & Forecast
    - 8.3.5.1.1. By Value
  - 8.3.5.2. Market Share & Forecast
    - 8.3.5.2.1. By Component
    - 8.3.5.2.2. By Application
    - 8.3.5.2.3. By Data Type

9. Europe Big Data in Oil & Gas Market Outlook

9.1. Market Size & Forecast
- 9.1.1. By Value
9.2. Market Share & Forecast
- 9.2.1. By Component
- 9.2.2. By Application
- 9.2.3. By Data Type
- 9.2.4. By Country
9.3. Europe: Country Analysis
- 9.3.1. Germany Big Data in Oil & Gas Market Outlook
  - 9.3.1.1. Market Size & Forecast
    - 9.3.1.1.1. By Value
  - 9.3.1.2. Market Share & Forecast
    - 9.3.1.2.1. By Component
    - 9.3.1.2.2. By Application
    - 9.3.1.2.3. By Data Type
- 9.3.2. United Kingdom Big Data in Oil & Gas Market Outlook
  - 9.3.2.1. Market Size & Forecast
    - 9.3.2.1.1. By Value
  - 9.3.2.2. Market Share & Forecast
    - 9.3.2.2.1. By Component
    - 9.3.2.2.2. By Application
    - 9.3.2.2.3. By Data Type
- 9.3.3. France Big Data in Oil & Gas Market Outlook
  - 9.3.3.1. Market Size & Forecast
    - 9.3.3.1.1. By Value
  - 9.3.3.2. Market Share & Forecast
    - 9.3.3.2.1. By Component
    - 9.3.3.2.2. By Application
    - 9.3.3.2.3. By Data Type
- 9.3.4. Russia Big Data in Oil & Gas Market Outlook
  - 9.3.4.1. Market Size & Forecast
    - 9.3.4.1.1. By Value
  - 9.3.4.2. Market Share & Forecast
    - 9.3.4.2.1. By Component
    - 9.3.4.2.2. By Application
    - 9.3.4.2.3. By Data Type
- 9.3.5. Spain Big Data in Oil & Gas Market Outlook
  - 9.3.5.1. Market Size & Forecast
    - 9.3.5.1.1. By Value
  - 9.3.5.2. Market Share & Forecast
    - 9.3.5.2.1. By Component
    - 9.3.5.2.2. By Application
    - 9.3.5.2.3. By Data Type

10. South America Big Data in Oil & Gas Market Outlook

10.1. Market Size & Forecast
- 10.1.1. By Value
10.2. Market Share & Forecast
- 10.2.1. By Component
- 10.2.2. By Application
- 10.2.3. By Data Type
- 10.2.4. By Country
10.3. South America: Country Analysis
- 10.3.1. Brazil Big Data in Oil & Gas Market Outlook
  - 10.3.1.1. Market Size & Forecast
    - 10.3.1.1.1. By Value
  - 10.3.1.2. Market Share & Forecast
    - 10.3.1.2.1. By Component
    - 10.3.1.2.2. By Application
    - 10.3.1.2.3. By Data Type
- 10.3.2. Argentina Big Data in Oil & Gas Market Outlook
  - 10.3.2.1. Market Size & Forecast
    - 10.3.2.1.1. By Value
  - 10.3.2.2. Market Share & Forecast
    - 10.3.2.2.1. By Component
    - 10.3.2.2.2. By Application
    - 10.3.2.2.3. By Data Type

11. Middle East & Africa Big Data in Oil & Gas Market Outlook

11.1. Market Size & Forecast
- 11.1.1. By Value
11.2. Market Share & Forecast
- 11.2.1. By Component
- 11.2.2. By Application
- 11.2.3. By Data Type
- 11.2.4. By Country
11.3. Middle East & Africa: Country Analysis
- 11.3.1. Saudi Arabia Big Data in Oil & Gas Market Outlook
  - 11.3.1.1. Market Size & Forecast
    - 11.3.1.1.1. By Value
  - 11.3.1.2. Market Share & Forecast
    - 11.3.1.2.1. By Component
    - 11.3.1.2.2. By Application
    - 11.3.1.2.3. By Data Type
- 11.3.2. South Africa Big Data in Oil & Gas Market Outlook
  - 11.3.2.1. Market Size & Forecast
    - 11.3.2.1.1. By Value
  - 11.3.2.2. Market Share & Forecast
    - 11.3.2.2.1. By Component
    - 11.3.2.2.2. By Application
    - 11.3.2.2.3. By Data Type
- 11.3.3. UAE Big Data in Oil & Gas Market Outlook
  - 11.3.3.1. Market Size & Forecast
    - 11.3.3.1.1. By Value
  - 11.3.3.2. Market Share & Forecast
    - 11.3.3.2.1. By Component
    - 11.3.3.2.2. By Application
    - 11.3.3.2.3. By Data Type
- 11.3.4. Israel Big Data in Oil & Gas Market Outlook
  - 11.3.4.1. Market Size & Forecast
    - 11.3.4.1.1. By Value
  - 11.3.4.2. Market Share & Forecast
    - 11.3.4.2.1. By Component
    - 11.3.4.2.2. By Application
    - 11.3.4.2.3. By Data Type
- 11.3.5. Egypt Big Data in Oil & Gas Market Outlook
  - 11.3.5.1. Market Size & Forecast
    - 11.3.5.1.1. By Value
  - 11.3.5.2. Market Share & Forecast
    - 11.3.5.2.1. By Component
    - 11.3.5.2.2. By Application
    - 11.3.5.2.3. By Data Type

12. Market Dynamics

12.1. Drivers
12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

14.1. Accenture PLC
- 14.1.1. Business Overview
- 14.1.2. Key Revenue and Financials (If Available)
- 14.1.3. Recent Developments
- 14.1.4. Key Personnel
- 14.1.5. Key Product/Services
14.2. Cisco Systems, Inc
- 14.2.1. Business Overview
- 14.2.2. Key Revenue and Financials
- 14.2.3. Recent Developments
- 14.2.4. Key Personnel
- 14.2.5. Key Product/Services
14.3. Dell EMC
- 14.3.1. Business Overview
- 14.3.2. Key Revenue and Financials (If Available)
- 14.3.3. Recent Developments
- 14.3.4. Key Personnel
- 14.3.5. Key Product/Services
14.4. Hewlett-Packard Enterprise
- 14.4.1. Business Overview
- 14.4.2. Key Revenue and Financials (If Available)
- 14.4.3. Recent Developments
- 14.4.4. Key Personnel
- 14.4.5. Key Product/Services
14.5. IBM
- 14.5.1. Business Overview
- 14.5.2. Key Revenue and Financials (If Available)
- 14.5.3. Recent Developments
- 14.5.4. Key Personnel
- 14.5.5. Key Product/Services
14.6. Microsoft
- 14.6.1. Business Overview
- 14.6.2. Key Revenue and Financials (If Available)
- 14.6.3. Recent Developments
- 14.6.4. Key Personnel
- 14.6.5. Key Product/Services
14.7. Oracle Corporation
- 14.7.1. Business Overview
- 14.7.2. Key Revenue and Financials
- 14.7.3. Recent Developments
- 14.7.4. Key Personnel
- 14.7.5. Key Product/Services
14.8. SAP Group
- 14.8.1. Business Overview
- 14.8.2. Key Revenue and Financials (If Available)
- 14.8.3. Recent Developments
- 14.8.4. Key Personnel
- 14.8.5. Key Product/Services
14.9. SAS Institute Inc.
- 14.9.1. Business Overview
- 14.9.2. Key Revenue and Financials (If Available)
- 14.9.3. Recent Developments
- 14.9.4. Key Personnel
- 14.9.5. Key Product/Services
14.10. Teradata
- 14.10.1. Business Overview
- 14.10.2. Key Revenue and Financials (If Available)
- 14.10.3. Recent Developments
- 14.10.4. Key Personnel
- 14.10.5. Key Product/Services
14.11. Hitachi Vantara
- 14.11.1. Business Overview
- 14.11.2. Key Revenue and Financials (If Available)
- 14.11.3. Recent Developments
- 14.11.4. Key Personnel
- 14.11.5. Key Product/Services