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资料整理市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、部署模型、企业模型、最终用户按地区细分
市场调查报告书
商品编码
1348770

资料整理市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、部署模型、企业模型、最终用户按地区细分

Data Wrangling Market-Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Component, By Deployment Model, By Enterprise Model, By End User By Region
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3个工作天内

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简介目录

由于资料整理供应商对软体即服务 (SaaS) 等基于网路的服务的需求增加，预计全球资料整理市场将在 2024-2028 年预测期内强劲成长。资料整理，也称为资料清理、净化、修復、修改，是理解和实施资料洞察的第一个也是最关键的阶段。连接资料来源、重新格式化资讯以确保一致性、消除重复、整合不同的来源以及过滤掉庞大资料集中不必要的「噪音」都是该过程的一部分。

数据分析团队经常花费 50-80% 的时间处理数据并准备将其用于机器学习工作流程、报告生成和其他相关操作。资料整理或资料修改基本上是将资讯从原始资料形状更改和映射到另一种配置的过程，其目标是影响它并使其对于各种下游目的（例如分析）更适合和更重要。

市场概况
预测期 2024-2028
2022 年市场规模 27.5亿美元
2028 年市场规模 49.4亿美元
复合年增长率 9.81%
成长最快的细分市场 云
最大的市场 北美洲

自助资料准备模型

自助资料准备范式是推动资料整理产业成长的主要驱动力之一。这种方法使企业能够在不涉及资料科学家的情况下清理资料集。该元素有效地允许组织的领导者在无需 IT 人员介入的情况下获得业务见解。此外，大数据跨垂直产业的相关性，以及人工智慧和机器学习技术与资料整理工具的集成，预计将推动全球资料整理市场向前发展。这有助于增加所有行业中数据争论的使用，这将推动整个预测期内的市场成长。

自带设备 (BYOD) 的上升趋势推动市场发展

预计自带设备 (BYOD) 和业务行动趋势将成为推动资料整理产业成长的重要驱动力。此外，数据的速度和数量，以及人工智慧和MI技术的技术突破，将加剧数据整理产业的成长。然而，数据品质方面的困难成为该行业成长的限制因素。在预测期内，BYOD 正在推动全球资料整理市场的成长。

可用的定制

TechSci Research 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

第 2 章：研究方法

第 3 章：COVID-19 对全球资料整理市场的影响

第 4 章：执行摘要

第 5 章：客户之声

第 6 章：全球数据争用市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（工具和服务）
    • 按部署模型（云端、本机）
    • 依企业模式（中小型企业、大型）
    • 按最终用户（IT 和电信、零售、BFSI）
    • 按地区
  • 按公司分类
  • 市场地图

第 7 章：北美数据争论市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模型
    • 依企业模式
    • 按最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 8 章：亚太地区数据争论市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模型
    • 按最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 新加坡
    • 马来西亚

第 9 章：欧洲数据争论市场前景

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模型
    • 依企业模式
    • 按最终用户
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 俄罗斯
    • 瑞士
    • 比利时
    • 义大利

第 10 章：南美洲数据争论市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模型
    • 依企业模式
    • 按最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 秘鲁
    • 智利

第 11 章：中东和非洲数据争论市场前景

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模型
    • 依企业模式
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋
    • 以色列
    • 土耳其

第 12 章：市场动态

  • 司机
  • 挑战

第 13 章：市场趋势与发展

第 14 章：公司简介

  • Trifacta软体公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 数据观察公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • TIBCO软体公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 天睿公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 甲骨文公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • SAS 研究所
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 塔伦德公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • Alteryx公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 帕克萨塔公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 霍顿工厂公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered

第 15 章：策略建议

第 16 章：关于我们与免责声明

简介目录
Product Code: 14890

Global Data Wrangling Market is anticipated to grow at a robust pace in the forecast period, 2024-2028 owing to an increase in demand for web-based services such as Software as a Service (SaaS) from Data Wrangling providers. Data wrangling, also known as data cleaning, cleansing, remediation, munging, is the first and most critical stage in comprehending and operationalizing data insights. Connecting to data sources, reformatting the information to ensure consistency, eliminating duplicates, integrating dissimilar sources, and filtering out unnecessary "noise" in huge datasets are all part of the process.

Data analytics teams frequently spend 50-80% of their time wrangling data and preparing it for use in machine learning workflows, report production, and other related operations. Data wrangling or data munging is basically the process of changing and mapping information from raw data shape into another configuration with the goal of influencing it and making it more suitable and significant for an assortment of downstream purposes for example, analytics.

The factors such as rising concerns about information loss and theft, the upward trends of Bring Your Own Device (BYOD) and enterprise mobility are expected to emerge as the significant factors accelerating the growth of global data wrangling market. In addition to this, velocity of data and volume of data and technological advancements in AI and MI technologies, will further aggravate the growth of the global data wrangling market. However, issues related to data quality restrain the market.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 2.75 Billion
Market Size 2028USD 4.94 Billion
CAGR (2023-2028)9.81%
Fastest Growing SegmentCloud
Largest MarketNorth America

Self-service data preparation model

The self-service data preparation paradigm is one of the primary drivers driving the data wrangling industry growth. This methodology enables enterprises to clean data sets without involving data scientists. This element has effectively allowed an organization's leaders to derive business insights without the intrusion of IT personnel. Furthermore, the relevance of big data across verticals, as well as the integration of artificial intelligence and machine learning technologies with data wrangling tools, is expected to drive the global data wrangling market forward. This is assisting in the increased usage of data wrangling in all industries, which will drive market growth throughout the forecast period.

Upward trends of Bring Your Own Device (BYOD) propelling the market

Bring Your Own Device (BYOD) and business mobility trends are predicted to emerge as important drivers fueling the growth of the data wrangling industry. Furthermore, the velocity and volume of data, as well as technical breakthroughs in AI and MI technologies, will exacerbate the growth of the data wrangling industry. However, difficulties with data quality act as a growth constraint for the sector. During the forecast period, the BYOD is propelling the growth of Global Data Wrangling Market.

Market Segmentation

Global Data Wrangling is segmented by component, by deployment model, by enterprise model, by end user, by region and competitive landscape. Based on Component, the market is segmented into Tools and Service. Based on Deployment model, the market is segmented into On Cloud and On Premises, Based on Enterprise model, the market is segmented into Small and medium-Sized, and Large. Based on End User, the market is segmented into IT and Telecommunication, Retail, and BFSI.

Market players

Major market players in the global data wrangling market are Trifacta Software Inc, Datawatch Corporation, TIBCO Software Inc, Teradata Corporation, Oracle Corporation, Talend SA, SAS Institute Inc, Alteryx Inc, Paxata Inc, Hortonworks Inc.

Report Scope:

In this report, the Global Data Wrangling Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Wrangling Market, By Component:

  • Tools
  • Service

Data Wrangling Market, By Deployment model:

  • On Cloud
  • On Premises

Data Wrangling Market, By Enterprise model:

  • Small and medium-Sized
  • Large

Data Wrangling Market, By End User:

  • IT and Telecommunication
  • Retail
  • BFSI

Data Wrangling Market, By Region:

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

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Wrangling Market.

Available Customizations

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

2. Research Methodology

3. Impact of COVID-19 on Global Data Wrangling Market

4. Executive Summary

5. Voice of Customers

6. Global Data Wrangling Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Tools and Service)
    • 6.2.2. By Deployment model (On Cloud, On Premises)
    • 6.2.3. By Enterprise model (Small-Medium Enterprise, Large)
    • 6.2.4. By End User (IT and Telecommunication, Retail, BFSI)
    • 6.2.5. By Region
  • 6.3. By Company
  • 6.4. Market Map

7. North America Data Wrangling 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 Deployment model
    • 7.2.3. By Enterprise model
    • 7.2.4. By End User
    • 7.2.5. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Data Wrangling 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 Deployment model
        • 7.3.1.2.3. By Enterprise model
        • 7.3.1.2.4. By End User
    • 7.3.2. Canada Data Wrangling 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 Deployment model
        • 7.3.2.2.3. By Enterprise model
        • 7.3.2.2.4. By End User
    • 7.3.3. Mexico Data Wrangling 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 Deployment model
        • 7.3.3.2.3. By Enterprise model
        • 7.3.3.2.4. By End User

8. Asia-Pacific Data Wrangling 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 Deployment model
    • 8.2.3. By End User
    • 8.2.4. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Data Wrangling 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 Deployment model
        • 8.3.1.2.3. By Enterprise model
        • 8.3.1.2.4. By End User
    • 8.3.2. India Data Wrangling 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 Deployment model
        • 8.3.2.2.3. By Enterprise model
        • 8.3.2.2.4. By End User
    • 8.3.3. Japan Data Wrangling 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 Deployment model
        • 8.3.3.2.3. By Enterprise model
        • 8.3.3.2.4. By End User
    • 8.3.4. South Korea Data Wrangling 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 Deployment model
        • 8.3.4.2.3. By Enterprise model
        • 8.3.4.2.4. By End User
    • 8.3.5. Australia Data Wrangling 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 Deployment model
        • 8.3.5.2.3. By Enterprise model
        • 8.3.5.2.4. By End User
    • 8.3.6. Singapore Data Wrangling Market Outlook
      • 8.3.6.1. Market Size & Forecast
        • 8.3.6.1.1. By Value
      • 8.3.6.2. Market Share & Forecast
        • 8.3.6.2.1. By Component
        • 8.3.6.2.2. By Deployment model
        • 8.3.6.2.3. By Enterprise model
        • 8.3.6.2.4. By End User
    • 8.3.7. Malaysia Data Wrangling Market Outlook
      • 8.3.7.1. Market Size & Forecast
        • 8.3.7.1.1. By Value
      • 8.3.7.2. Market Share & Forecast
        • 8.3.7.2.1. By Component
        • 8.3.7.2.2. By Deployment model
        • 8.3.7.2.3. By Enterprise model
        • 8.3.7.2.4. By End User

9. Europe Data Wrangling 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 Deployment model
    • 9.2.3. By Enterprise model
    • 9.2.4. By End User
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Data Wrangling 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 Deployment model
        • 9.3.1.2.3. By Enterprise model
        • 9.3.1.2.4. By End User
    • 9.3.2. United Kingdom Data Wrangling 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 Deployment model
        • 9.3.2.2.3. By Enterprise model
        • 9.3.2.2.4. By End User
    • 9.3.3. France Data Wrangling 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 Deployment model
        • 9.3.3.2.3. By Enterprise model
        • 9.3.3.2.4. By End User
    • 9.3.4. Russia Data Wrangling 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 Deployment model
        • 9.3.4.2.3. By Enterprise model
        • 9.3.4.2.4. By End User
    • 9.3.5. Switzerland Data Wrangling 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 Deployment model
        • 9.3.5.2.3. By Enterprise model
        • 9.3.5.2.4. By End User
    • 9.3.6. Belgium Data Wrangling Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Component
        • 9.3.6.2.2. By Deployment model
        • 9.3.6.2.3. By Enterprise model
        • 9.3.6.2.4. By End User
    • 9.3.7. Italy Data Wrangling Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Component
        • 9.3.7.2.2. By Deployment model
        • 9.3.7.2.3. By Enterprise model
        • 9.3.7.2.4. By End User

10. South America Data Wrangling 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 Deployment model
    • 10.2.3. By Enterprise model
    • 10.2.4. By End User
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Data Wrangling 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 Deployment model
        • 10.3.1.2.3. By Enterprise model
        • 10.3.1.2.4. By End User
    • 10.3.2. Argentina Data Wrangling 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 Deployment model
        • 10.3.2.2.3. By Enterprise model
        • 10.3.2.2.4. By End User
    • 10.3.3. Colombia Data Wrangling 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 Component
        • 10.3.3.2.2. By Deployment model
        • 10.3.3.2.3. By Enterprise model
        • 10.3.3.2.4. By End User
    • 10.3.4. Peru Data Wrangling 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 Component
        • 10.3.4.2.2. By Deployment model
        • 10.3.4.2.3. By Enterprise model
        • 10.3.4.2.4. By End User
    • 10.3.5. Chile Data Wrangling 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 Component
        • 10.3.5.2.2. By Deployment model
        • 10.3.5.2.3. By Enterprise model
        • 10.3.5.2.4. By End User

11. Middle East & Africa Data Wrangling 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 Deployment model
    • 11.2.3. By Enterprise model
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Data Wrangling 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 Deployment model
        • 11.3.1.2.3. By Enterprise model
        • 11.3.1.2.4. By End User
    • 11.3.2. South Africa Data Wrangling 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 Deployment model
        • 11.3.2.2.3. By Enterprise model
        • 11.3.2.2.4. By End User
    • 11.3.3. UAE Data Wrangling 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 Deployment model
        • 11.3.3.2.3. By Enterprise model
        • 11.3.3.2.4. By End User
    • 11.3.4. Israel Data Wrangling 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 Deployment model
        • 11.3.4.2.3. By Enterprise model
        • 11.3.4.2.4. By End User
    • 11.3.5. Turkey Data Wrangling 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 Deployment model
        • 11.3.5.2.3. By Enterprise model
        • 11.3.5.2.4. By End User

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

  • 14.1. Trifacta Software Inc
    • 14.1.1. Business Overview
    • 14.1.2. Key Revenue and Financials
    • 14.1.3. Recent Developments
    • 14.1.4. Key Personnel
    • 14.1.5. Key Products/Services Offered
  • 14.2. Datawatch Corporation
    • 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 Products/Services Offered
  • 14.3. TIBCO Software Inc
    • 14.3.1. Business Overview
    • 14.3.2. Key Revenue and Financials
    • 14.3.3. Recent Developments
    • 14.3.4. Key Personnel
    • 14.3.5. Key Products/Services Offered
  • 14.4. Teradata Corporation
    • 14.4.1. Business Overview
    • 14.4.2. Key Revenue and Financials
    • 14.4.3. Recent Developments
    • 14.4.4. Key Personnel
    • 14.4.5. Key Products/Services Offered
  • 14.5. Oracle Corporation
    • 14.5.1. Business Overview
    • 14.5.2. Key Revenue and Financials
    • 14.5.3. Recent Developments
    • 14.5.4. Key Personnel
    • 14.5.5. Key Products/Services Offered
  • 14.6. SAS Institute Inc
    • 14.6.1. Business Overview
    • 14.6.2. Key Revenue and Financials
    • 14.6.3. Recent Developments
    • 14.6.4. Key Personnel
    • 14.6.5. Key Products/Services Offered
  • 14.7. Talend SA
    • 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 Products/Services Offered
  • 14.8. Alteryx Inc
    • 14.8.1. Business Overview
    • 14.8.2. Key Revenue and Financials
    • 14.8.3. Recent Developments
    • 14.8.4. Key Personnel
    • 14.8.5. Key Products/Services Offered
  • 14.9. Paxata Inc
    • 14.9.1. Business Overview
    • 14.9.2. Key Revenue and Financials
    • 14.9.3. Recent Developments
    • 14.9.4. Key Personnel
    • 14.9.5. Key Products/Services Offered
  • 14.10. Hortonworks Inc
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel
    • 14.10.5. Key Products/Services Offered

15. Strategic Recommendations

16. About Us & Disclaimer