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资料化市场 - 2018-2028 年全球产业规模、份额、趋势、机会与预测，按类型、按应用、垂直、地区、竞争细分

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个工作天内

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简介目录

预计全球数据化市场在预测期内将以健康的复合年增长率成长。 「数据化」一词是指将各种类型的信息转换为数位资料的过程，然后可以对其进行分析并用于驱动业务决策。数据化市场是指专门为商业目的收集、分析和利用资料的不断发展的行业。由于技术的进步，特别是在资料收集、储存和分析等领域，资料化变得越来越普遍。随着数位设备、感测器和线上平台的激增，大量资料不断产生。这些资料可以来自社群媒体互动、线上交易、物联网设备、感测器和其他数位来源等来源。数据化有潜力彻底改变产业，实现数据驱动的决策，并为社会各方面带来改变。

近年来，随着越来越多的公司寻求利用资料来获得竞争优势，数据化市场出现了巨大的成长。这个市场包括广泛的参与者，从资料分析公司和软体公司到资料经纪人和咨询公司。

全球数据化市场的一些关键驱动因素包括资料可用性的不断增加、数据驱动决策的重要性日益增加，以及人工智慧和机器学习等先进分析技术的兴起。随着这些趋势继续塑造商业格局，数据化市场很可能将继续成长和发展，为各种规模的企业提供新的机会和挑战。

市场概况
预测期 2024-2028
2022 年市场规模 27.7亿美元
2028 年市场规模 120.4亿美元
2023-2028 年复合年增长率 26.72%
成长最快的细分市场 製造业
最大的市场 北美洲

数据可用性的提高正在推动市场成长

大量资料的可用性是数据化成长的关键驱动力之一。随着网路和数位科技的兴起，每天都会产生越来越多的资料。这些资料可以来自多种来源，例如社交媒体、感测器、连接设备等。

数据驱动决策的重要性日益增加，导致对数据化的需求更高

数据驱动决策的重要性日益增加，导致对数据化的需求更高。资料化是指将各种类型的信息转换为可以使用电脑演算法进行分析的结构化数位资料的过程。随着企业和组织越来越依赖资料来做出决策，对数据化的需求变得至关重要。

数据化允许企业收集和分析来自各种来源的资料，包括社交媒体、客户回馈和市场趋势，以获得洞察并做出更明智的决策。这可以带来更好的结果、提高效率并节省成本。例如，数据化可以帮助企业识别营运中需要改进的领域，优化供应链，并更有效地定位行销工作。

近年来，随着数据驱动的决策已成为许多行业（包括金融、医疗保健、零售和製造）的基本组成部分，对数据化的需求呈指数级增长。随着大资料和进阶分析工具的出现，企业现在可以存取大量资料，这些数据可用于推动洞察并做出明智的决策。因此，收集、储存和分析资料的能力已成为希望在当今快节奏、数据驱动的世界中保持竞争力的组织的关键技能。

各种应用对高速和低延迟无线连接的需求不断增长

人工智慧（AI）和机器学习（ML）等先进分析技术的兴起在数据化的成长中发挥了重要作用。这些技术使得比以往更快、更准确地处理和分析大量资料成为可能。人工智慧和机器学习演算法旨在从资料中的模式和见解中学习，并根据该学习做出预测和建议。因此，企业和组织正在使用这些技术来更深入地了解客户行为、市场趋势以及影响其营运的其他重要因素。数据化还透过为人工智慧和机器学习提供大量可供学习的结构化和非结构化资料，使它们能够更有效地工作。透过向这些演算法提供更多资料，它们在预测结果和识别人类可能无法看到的模式方面变得更加准确和有效。总体而言，人工智慧和机器学习的兴起加速了数据化的趋势，因为企业寻求利用这些技术来获得竞争优势并更好地了解其客户和营运。

资料品质差可能导致错误的见解和决策

资料品质差可能会对基于该资料的见解和决策的准确性和可靠性产生重大影响。如果分析的资料不准确或不完整，可能会导致错误的见解和决策。例如，如果资料缺少关键资讯或已过时，则可能无法反映所分析的业务或行业的当前状态。有偏见的数据也可能导致错误的见解和决策。如果所分析的资料不能代表总体或反映了资料收集者的偏见，则可能会出现偏差。如果所分析的资料不一致或矛盾，可能会导致错误的见解和决策。例如，如果不同的资料来源提供相互衝突的讯息，则可能很难确定哪个来源更准确。重复、不正确的条目或格式不一致等资料错误也会影响基于该资料的见解和决策的准确性。如果缺乏适当的资料治理，资料可能会变得混乱、难以存取或不可靠，从而导致错误的见解和决策。因此，必须确保资料准确、完整、公正、一致并适当管理，以避免根据该资料做出错误的见解和决策。这可以透过适当的资料品质控制措施来实现，包括资料分析、资料清理和资料验证。

市场区隔

根据类型，市场分为行为资料化、社交资料化、地理空间资料化、交易资料化和感测器资料化。根据应用，市场进一步细分为区块链、AIOps、认知运算、边缘运算、FinOps 等。根据垂直领域，市场进一步分为 BFSI、医疗保健、IT 和电信、零售、政府和国防、製造以及媒体和娱乐。

公司简介

IBM 公司、甲骨文公司、微软公司、SAP SE、Google公司、亚马逊网路服务、SAS Institute Inc.、Teradata 公司、戴尔 EMC、惠普企业 (HPE) 是全球资料化市场的主要参与者。

报告范围：

在本报告中，除了以下详细介绍的产业趋势外，全球数据化市场也分为以下几类：

数据化市场，按类型：

  • 行为数据化
  • 社会数据化
  • 地理空间资料化
  • 交易数据化
  • 感测器数据化

数据化市场，按应用：

  • 区块链
  • 人工智慧操作
  • 认知运算
  • 边缘运算
  • 金融营运
  • 其他的

数据化市场，按垂直领域：

  • BFSI
  • 卫生保健
  • 资讯科技和电信
  • 零售
  • 政府和国防
  • 製造业
  • 媒体与娱乐
  • 其他的

数据化市场（按地区）：

  • 亚太
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 义大利
  • 中东和非洲
  • 以色列
  • 土耳其
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚

竞争格局

  • 公司概况：全球数据化市场主要公司的详细分析。

可用的客製化：

  • 根据给定的市场资料，TechSci Research 可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

  • 研究目的
  • 基线方法
  • 主要产业伙伴
  • 主要协会和二手资料来源
  • 预测方法
  • 数据三角测量与验证
  • 假设和限制

第 3 章：执行摘要

第 4 章：客户之声

第 5 章：全球数据化市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型（行为资料化、社交资料化、地理空间资料化、事务资料化、感测器资料化）
    • 按应用（区块链、AIOps、认知运算、边缘运算、FinOps 等）
    • 按行业（BFSI、医疗保健、媒体和娱乐、教育、零售和电子商务、政府、其他）
    • 按地区
  • 按公司划分 (2022)
  • 市场地图

第 6 章：北美数据化市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按应用
    • 按垂直方向
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 7 章：亚太地区资料化市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按应用
    • 按垂直方向
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 日本
    • 韩国
    • 印度
    • 澳洲

第 8 章：欧洲资料化市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按应用
    • 按垂直方向
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙

第 9 章：南美洲数据化市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按应用
    • 按垂直方向
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲资料化市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按类型
    • 按应用
    • 按垂直方向
    • 按国家/地区
  • 中东和非洲：国家分析
    • 以色列
    • 土耳其
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非

第 11 章：市场动态

  • 司机
  • 挑战

第 12 章：市场趋势与发展

第 13 章：公司简介

  • 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
  • 微软公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • SAP系统公司
    • 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
  • 亚马逊网路服务
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered
  • 惠普企业 (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
  • 戴尔易安信
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Service Offered

第 14 章：策略建议

第 15 章：关于我们与免责声明

（註：公司名单可依客户要求客製化。）

简介目录
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.)