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資料化市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會與預測，按類型、按應用、垂直、地區、競爭細分

Datafication Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F Segmented By Type, By Application, By Vertical, By Region, Competition
出版日期: | 出版商: TechSci Research | 英文 183 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計全球數據化市場在預測期內將以健康的年複合成長率成長。 「數據化」一詞是指將各種類型的資訊轉換為數位資料的過程，然後可以對其進行分析並用於驅動業務決策。數據化市場是指專門為商業目的收集、分析和利用資料的不斷發展的行業。由於技術的進步，特別是在資料收集、儲存和分析等領域，資料化變得越來越普遍。隨著數位設備、感測器和線上平台的激增，大量資料不斷產生。這些資料可以來自社群媒體互動、線上交易、物聯網設備、感測器和其他數位來源等來源。數據化有潛力徹底改變產業，實現數據驅動的決策，並為社會各方面帶來改變。

近年來，隨著越來越多的公司尋求利用資料來獲得競爭優勢，數據化市場出現了巨大的成長。這個市場包括廣泛的參與者，從資料分析公司和軟體公司到資料經紀人和諮詢公司。

全球數據化市場的一些關鍵促進因素包括資料可用性的不斷增加、數據驅動決策的重要性日益增加，以及人工智慧和機器學習等先進分析技術的興起。隨著這些趨勢繼續塑造商業格局，數據化市場很可能將繼續成長和發展，為各種規模的企業提供新的機會和挑戰。

市場概況
預測期 2024-2028
2022 年市場規模 27.7億美元
2028 年市場規模 120.4億美元
2023-2028 年年複合成長率 26.72%
成長最快的細分市場 製造業
最大的市場 北美洲

數據可用性的提高正在推動市場成長

大量資料的可用性是數據化成長的關鍵驅動力之一。隨著網路和數位科技的興起，每天都會產生越來越多的資料。這些資料可以來自多種來源，例如社交媒體、感測器、連接設備等。

數據驅動決策的重要性日益增加，導致對數據化的需求更高

數據驅動決策的重要性日益增加，導致對數據化的需求更高。資料化是指將各種類型的資訊轉換為可以使用電腦演算法進行分析的結構化數位資料的過程。隨著企業和組織越來越依賴資料來做出決策，對數據化的需求變得至關重要。

數據化允許企業收集和分析來自各種來源的資料，包括社交媒體、客戶回饋和市場趨勢，以獲得洞察並做出更明智的決策。這可以帶來更好的結果、提高效率並節省成本。例如，數據化可以幫助企業識別營運中需要改進的領域，最佳化供應鏈，並更有效地定位行銷工作。

近年來，隨著數據驅動的決策已成為許多行業（包括金融、醫療保健、零售和製造）的基本組成部分，對數據化的需求呈指數級成長。隨著大資料和進階分析工具的出現，企業現在可以存取大量資料，這些數據可用於推動洞察並做出明智的決策。因此，收集、儲存和分析資料的能力已成為希望在當今快節奏、數據驅動的世界中保持競爭力的組織的關鍵技能。

各種應用對高速和低延遲無線連接的需求不斷成長

人工智慧（AI）和機器學習（ML）等先進分析技術的興起在數據化的成長中發揮了重要作用。這些技術使得比以往更快、更準確地處理和分析大量資料成為可能。人工智慧和機器學習演算法旨在從資料中的模式和見解中學習，並根據該學習做出預測和建議。因此，企業和組織正在使用這些技術來更深入地了解客戶行為、市場趨勢以及影響其營運的其他重要因素。數據化還透過為人工智慧和機器學習提供大量可供學習的結構化和非結構化資料，使它們能夠更有效地工作。透過向這些演算法提供更多資料，它們在預測結果和識別人類可能無法看到的模式方面變得更加準確和有效。總體而言，人工智慧和機器學習的興起加速了數據化的趨勢，因為企業尋求利用這些技術來獲得競爭優勢並更好地了解其客戶和營運。

資料品質差可能導致錯誤的見解和決策

資料品質差可能會對基於該資料的見解和決策的準確性和可靠性產生重大影響。如果分析的資料不準確或不完整，可能會導致錯誤的見解和決策。例如，如果資料缺少關鍵資訊或已過時，則可能無法反映所分析的業務或行業的當前狀態。有偏見的數據也可能導致錯誤的見解和決策。如果所分析的資料不能代表總體或反映了資料收集者的偏見，則可能會出現偏差。如果所分析的資料不一致或矛盾，可能會導致錯誤的見解和決策。例如，如果不同的資料來源提供相互衝突的訊息，則可能很難確定哪個來源更準確。重複、不正確的條目或格式不一致等資料錯誤也會影響基於該資料的見解和決策的準確性。如果缺乏適當的資料治理，資料可能會變得混亂、難以存取或不可靠，從而導致錯誤的見解和決策。因此，必須確保資料準確、完整、公正、一致並適當管理，以避免根據該資料做出錯誤的見解和決策。這可以透過適當的資料品質控制措施來實現，包括資料分析、資料清理和資料驗證。

市場區隔

根據類型，市場分為行為資料化、社交資料化、地理空間資料化、交易資料化和感測器資料化。根據應用，市場進一步細分為區塊鏈、AIOps、認知運算、邊緣運算、FinOps 等。根據垂直領域，市場進一步分為 BFSI、醫療保健、IT 和電信、零售、政府和國防、製造以及媒體和娛樂。

公司簡介

IBM 公司、甲骨文公司、微軟公司、SAP SE、Google公司、亞馬遜網路服務、SAS Institute Inc.、Teradata 公司、戴爾 EMC、惠普企業 (HPE) 是全球資料化市場的主要參與者。

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球數據化市場也分為以下幾類：

數據化市場，按類型：

  • 行為數據化
  • 社會數據化
  • 地理空間資料化
  • 交易數據化
  • 感測器數據化

數據化市場，按應用：

  • 區塊鏈
  • 人工智慧操作
  • 認知運算
  • 邊緣運算
  • 金融營運
  • 其他

數據化市場，按垂直領域：

  • BFSI
  • 衛生保健
  • 資訊科技和電信
  • 零售
  • 政府和國防
  • 製造業
  • 媒體與娛樂
  • 其他

數據化市場（按地區）：

  • 亞太
  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國
  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 義大利
  • 中東和非洲
  • 以色列
  • 土耳其
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞

競爭格局

  • 公司概況：全球數據化市場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。

目錄

第 1 章：服務概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

  • 研究目的
  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球數據化市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型（行為資料化、社交資料化、地理空間資料化、事務資料化、感測器資料化）
    • 按應用（區塊鏈、AIOps、認知運算、邊緣運算、FinOps 等）
    • 按行業（BFSI、醫療保健、媒體和娛樂、教育、零售和電子商務、政府、其他）
    • 按地區
  • 按公司分類 (2022)
  • 市場地圖

第 6 章：北美數據化市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：亞太地區資料化市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲

第 8 章：歐洲資料化市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙

第 9 章：南美洲數據化市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲資料化市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 中東和非洲：國家分析
    • 以色列
    • 土耳其
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • IBM公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 甲骨文公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 微軟公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • SAP系統公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • Google公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 亞馬遜網路服務
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 惠普企業 (HPE)
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • SAS 研究所公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 天睿公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 戴爾易安信
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered

第 14 章：策略建議

第 15 章：關於我們與免責聲明

（註：公司名單可依客戶要求客製化。）

簡介目錄
Product Code: 15305

Global Datafication Market is expected to grow at a healthy CAGR during the forecast period. The term "datafication" refers to the process of transforming various types of information into digital data, which can then be analysed and used to drive business decisions. The datafication market refers to the growing industry that specialize in collecting, analysing, and leveraging data for business purposes. Datafication has become increasingly prevalent due to advancements in technology, particularly in areas such as data collection, storage, and analytics. With the proliferation of digital devices, sensors, and online platforms, vast amounts of data are generated continuously. This data can come from sources such as social media interactions, online transactions, IoT devices, sensors, and other digital sources. Datafication has the potential to revolutionize industries, enable data-driven decision-making, and bring about transformative changes in various aspects of society.

The datafication market has seen tremendous growth in recent years, as more and more companies seek to leverage data to gain a competitive advantage. This market includes a wide range of players, from data analytics firms and software companies to data brokers and consulting firms.

Some of the key drivers of the global datafication market include the increasing availability of data, the growing importance of data-driven decision-making, and the rise of advanced analytics technologies such as artificial intelligence and machine learning. As these trends continue to shape the business landscape, it is likely that the datafication market will continue to grow and evolve, offering new opportunities and challenges for businesses of all sizes..

Market Overview
Forecast Period2024-2028
Market Size 2022USD 2.77 Billion
Market Size 2028USD 12.04 Billion
CAGR 2023-202826.72%
Fastest Growing SegmentManufacturing
Largest MarketNorth America

Increasing Availability of Data is Fueling the Market Growth

The availability of large amounts of data is one of the key drivers of the growth of datafication. With the rise of the internet and digital technologies, more and more data is being generated every day. This data can come from a variety of sources, such as social media, sensors, connected devices, and more.

Datafication refers to the process of turning this data into valuable insights and knowledge that can be used to drive business decisions and improve performance. By analyzing and interpreting this data, businesses can gain a deeper understanding of their customers, their operations, and their markets, and use this knowledge to make better decisions.

As more and more data become available, businesses are increasingly turning to datafication to gain a competitive advantage. The market for datafication and data-driven decision making is growing rapidly, with companies investing heavily in technologies and tools that can help them extract insights from their data.

Overall, the increasing availability of data is driving the growth of datafication, and this trend is expected to continue in the years to come.

Growing Importance of Data-Driven Decision-Making Leads to a Higher Demand for Datafication

The growing importance of data-driven decision-making has led to a higher demand for datafication. Datafication refers to the process of transforming various types of information into structured digital data that can be analyzed using computer algorithms. As businesses and organizations increasingly rely on data to make their decisions, the need for datafication has become essential.

Datafication allows businesses to collect and analyze data from various sources, including social media, customer feedback, and market trends, to gain insights and make more informed decisions. This can lead to better outcomes, increased efficiency, and cost savings. For example, datafication can help businesses identify areas of improvement in their operations, optimize their supply chain, and target their marketing efforts more effectively.

The demand for datafication has grown exponentially in recent years as data-driven decision-making has become a fundamental part of many industries, including finance, healthcare, retail, and manufacturing. With the advent of big data and advanced analytics tools, businesses now have access to vast amounts of data that can be used to drive insights and make informed decisions. As a result, the ability to collect, store, and analyze data has become a critical skill for organizations looking to remain competitive in today's fast-paced, data-driven world.

Increasing demand for high-speed and low-latency wireless connectivity for various applications

The rise of advanced analytics technologies such as artificial intelligence (AI) and machine learning (ML) has played a significant role in the growth of datafication. These technologies have made it possible to process and analyze large amounts of data more quickly and accurately than ever before. AI and ML algorithms are designed to learn from patterns and insights in data, and to make predictions and recommendations based on that learning. As a result, businesses and organizations are using these technologies to gain a deeper understanding of customer behavior, market trends, and other important factors that affect their operations. Datafication also enables AI and ML to work more effectively by providing them with large amounts of structured and unstructured data to learn from. By feeding these algorithms with more data, they become more accurate and effective at predicting outcomes and identifying patterns that humans may not be able to see. Overall, the rise of AI and ML has accelerated the trend towards datafication, as businesses seek to leverage these technologies to gain a competitive advantage and better understand their customers and operations.

Poor data quality can lead to incorrect insights and decisions

Poor data quality can have a significant impact on the accuracy and reliability of insights and decisions based on that data. If the data being analyzed is inaccurate or incomplete, it can lead to incorrect insights and decisions. For example, if data is missing key information or is outdated, it may not reflect the current state of the business or industry being analyzed. Data that is biased can also lead to incorrect insights and decisions. Bias can occur if the data being analyzed is not representative of the population or if it reflects the biases of those who collected the data. If the data being analyzed is inconsistent or contradictory, it can lead to incorrect insights and decisions. For example, if different data sources provide conflicting information, it may be difficult to determine which source is more accurate. Data errors such as duplicates, incorrect entries, or formatting inconsistencies can also affect the accuracy of insights and decisions based on that data. In the absence of proper data governance, data can become disorganized, difficult to access, or unreliable, leading to incorrect insights and decisions. Therefore, it is essential to ensure that data is accurate, complete, unbiased, consistent, and governed properly to avoid making incorrect insights and decisions based on that data. This can be achieved through proper data quality control measures, including data profiling, data cleansing, and data validation.

Market Segmentation

Based on Type, the market is segmented into Behavioral Datafication, Social Datafication, Geospatial Datafication, Transactional Datafication, and Sensor Datafication. Based on Application, the market is further segmented into Blockchain, AIOps, Cognitive Computing, Edge Computing, FinOps, and Others. Based on vertical, the market is further split into BFSI, Healthcare, IT and Telecom, Retail, Government and Defense, Manufacturing, and Media and Entertainment.

Company Profiles

IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, Google Inc., Amazon Web Services, SAS Institute Inc., Teradata Corporation, Dell EMC, Hewlett-Packard Enterprise (HPE) are among the major players operating in the global datafication market.

Report Scope:

In this report, the global datafication market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Datafication Market, By Type:

  • Behavioral Datafication
  • Social Datafication
  • Geospatial Datafication
  • Transactional Datafication
  • Sensor Datafication

Datafication Market, By Application:

  • Blockchain
  • AIOps
  • Cognitive Computing
  • Edge Computing
  • FinOps
  • Others

Datafication Market, By Vertical:

  • BFSI
  • Healthcare
  • IT and Telecom
  • Retail
  • Government and Defense
  • Manufacturing
  • Media and Entertainment
  • Others

Datafication Market, By Region:

  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Italy
  • Middle East & Africa
  • Israel
  • Turkey
  • Saudi Arabia
  • UAE
  • South Africa
  • South America
  • Brazil
  • Argentina
  • Colombia

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the global datafication 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:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. 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. Executive Summary

4. Voice of Customer

5. Global Datafication Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (Behavioral Datafication, Social Datafication, Geospatial Datafication, Transactional Datafication, Sensor Datafication)
    • 5.2.2. By Application (Blockchain, AIOps, Cognitive Computing, Edge Computing, FinOps, Others)
    • 5.2.3. By Vertical (BFSI, Healthcare, Media and Entertainment, Education, Retail and E-commerce, Government, Others)
    • 5.2.4. By Region
  • 5.3. By Company (2022)
  • 5.4. Market Map

6. North America Datafication Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Application
    • 6.2.3. By Vertical
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Datafication Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By Application
        • 6.3.1.2.3. By Vertical
    • 6.3.2. Canada Datafication Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By Application
        • 6.3.2.2.3. By Vertical
    • 6.3.3. Mexico Datafication Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By Application
        • 6.3.3.2.3. By Vertical

7. Asia-Pacific Datafication Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Application
    • 7.2.3. By Vertical
    • 7.2.4. By Country
  • 7.3. Asia-Pacific: Country Analysis
    • 7.3.1. China Datafication 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 Type
        • 7.3.1.2.2. By Application
        • 7.3.1.2.3. By Vertical
    • 7.3.2. Japan Datafication 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 Type
        • 7.3.2.2.2. By Application
        • 7.3.2.2.3. By Vertical
    • 7.3.3. South Korea Datafication 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 Type
        • 7.3.3.2.2. By Application
        • 7.3.3.2.3. By Vertical
    • 7.3.4. India Datafication Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By Application
        • 7.3.4.2.3. By Vertical
    • 7.3.5. Australia Datafication Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By Application
        • 7.3.5.2.3. By Vertical

8. Europe Datafication Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Application
    • 8.2.3. By Vertical
    • 8.2.4. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Datafication 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 Type
        • 8.3.1.2.2. By Application
        • 8.3.1.2.3. By Vertical
    • 8.3.2. United Kingdom Datafication 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 Type
        • 8.3.2.2.2. By Application
        • 8.3.2.2.3. By Vertical
    • 8.3.3. France Datafication 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 Type
        • 8.3.3.2.2. By Application
        • 8.3.3.2.3. By Vertical
    • 8.3.4. Italy Datafication 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 Type
        • 8.3.4.2.2. By Application
        • 8.3.4.2.3. By Vertical
    • 8.3.5. Spain Datafication 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 Type
        • 8.3.5.2.2. By Application
        • 8.3.5.2.3. By Vertical

9. South America Datafication Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Application
    • 9.2.3. By Vertical
    • 9.2.4. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Datafication 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 Type
        • 9.3.1.2.2. By Application
        • 9.3.1.2.3. By Vertical
    • 9.3.2. Argentina Datafication 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 Type
        • 9.3.2.2.2. By Application
        • 9.3.2.2.3. By Vertical
    • 9.3.3. Colombia Datafication 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 Type
        • 9.3.3.2.2. By Application
        • 9.3.3.2.3. By Vertical

10. Middle East & Africa Datafication Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Application
    • 10.2.3. By Vertical
    • 10.2.4. By Country
  • 10.3. Middle East & Africa: Country Analysis
    • 10.3.1. Israel Datafication 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 Type
        • 10.3.1.2.2. By Application
        • 10.3.1.2.3. By Vertical
    • 10.3.2. Turkey Datafication 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 Type
        • 10.3.2.2.2. By Application
        • 10.3.2.2.3. By Vertical
    • 10.3.3. UAE Datafication Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Application
        • 10.3.3.2.3. By Vertical
    • 10.3.4. Saudi Arabia Datafication Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Type
        • 10.3.4.2.2. By Application
        • 10.3.4.2.3. By Vertical
    • 10.3.5. South Africa Datafication Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Type
        • 10.3.5.2.2. By Application
        • 10.3.5.2.3. By Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. IBM Corporation
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue (If Available)
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Service Offered
  • 13.2. Oracle Corporation
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue (If Available)
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Service Offered
  • 13.3. Microsoft Corporation
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue (If Available)
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Service Offered
  • 13.4. SAP SE
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue (If Available)
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Service Offered
  • 13.5. Google Inc.
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue (If Available)
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Service Offered
  • 13.6. Amazon Web Services
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue (If Available)
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Service Offered
  • 13.7. Hewlett-Packard Enterprise (HPE)
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue (If Available)
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Service Offered
  • 13.8. SAS Institute Inc.
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue (If Available)
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Service Offered
  • 13.9. Teradata Corporation
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue (If Available)
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Service Offered
  • 13.10. Dell EMC
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue (If Available)
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Service Offered

14. Strategic Recommendations

15. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)