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資料整理市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件、部署模型、企業模型、最終用戶按地區細分
市場調查報告書
商品編碼
1348770

資料整理市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件、部署模型、企業模型、最終用戶按地區細分

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個工作天內

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簡介目錄

由於資料整理供應商對軟體即服務 (SaaS) 等基於網路的服務的需求增加，預計全球資料整理市場將在 2024-2028 年預測期內強勁成長。資料整理，也稱為資料清理、淨化、修復、修改，是理解和實施資料洞察的第一個也是最關鍵的階段。連接資料來源、重新格式化資訊以確保一致性、消除重複、整合不同的來源以及過濾掉龐大資料集中不必要的「噪音」都是該過程的一部分。

數據分析團隊經常花費 50-80% 的時間處理數據並準備將其用於機器學習工作流程、報告生成和其他相關操作。資料整理或資料修改基本上是將資訊從原始資料形狀更改和映射到另一種配置的過程，其目標是影響它並使其對於各種下游目的（例如分析）更適合和更重要。

市場概況
預測期 2024-2028
2022 年市場規模 27.5億美元
2028 年市場規模 49.4億美元
年複合成長率 9.81%
成長最快的細分市場 雲
最大的市場 北美洲

自助資料準備模型

自助資料準備範式是推動資料整理產業成長的主要驅動力之一。這種方法使企業能夠在不涉及資料科學家的情況下清理資料集。該元素有效地允許組織的領導者在無需 IT 人員介入的情況下獲得業務見解。此外，巨量資料跨垂直產業的相關性，以及人工智慧和機器學習技術與資料整理工具的整合，預計將推動全球資料整理市場向前發展。這有助於增加所有行業中數據爭論的使用，這將推動整個預測期內的市場成長。

自帶設備 (BYOD) 的上升趨勢推動市場發展

預計自帶設備 (BYOD) 和業務行動趨勢將成為推動資料整理產業成長的重要驅動力。此外，數據的速度和數量，以及人工智慧和MI技術的技術突破，將加劇數據整理產業的成長。然而，數據品質方面的困難成為該行業成長的限制因素。在預測期內，BYOD 正在推動全球資料整理市場的成長。

可用的客製化

TechSci Research 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

第 2 章：研究方法

第 3 章：COVID-19 對全球資料整理市場的影響

第 4 章：執行摘要

第 5 章：客戶之聲

第 6 章：全球數據爭用市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（工具和服務）
    • 按部署模型（雲端、本機）
    • 依企業模式（中小型企業、大型）
    • 按最終用戶（IT 和電信、零售、BFSI）
    • 按地區
  • 按公司分類
  • 市場地圖

第 7 章：北美數據爭論市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模型
    • 依企業模式
    • 按最終用戶
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 8 章：亞太地區數據爭論市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模型
    • 按最終用戶
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 新加坡
    • 馬來西亞

第 9 章：歐洲數據爭論市場前景

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模型
    • 依企業模式
    • 按最終用戶
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 俄羅斯
    • 瑞士
    • 比利時
    • 義大利

第 10 章：南美洲數據爭論市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模型
    • 依企業模式
    • 按最終用戶
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 秘魯
    • 智利

第 11 章：中東和非洲數據爭論市場前景

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模型
    • 依企業模式
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 南非
    • 阿拉伯聯合大公國
    • 以色列
    • 土耳其

第 12 章：市場動態

  • 動力
  • 挑戰

第 13 章：市場趨勢與發展

第 14 章：公司簡介

  • Trifacta軟體公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 數據觀察公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • TIBCO軟體公司
    • 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
  • 塔倫德公司
    • 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
  • 帕克薩塔公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered
  • 霍頓工廠公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Products/Services Offered

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: 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