Data Wrangling Market Demand and Key Players by 2023: IBM, Oracle, SAS, Trifacta, Datawatch, Talend, Alteryx, Dataiku, TIBCO Software, Paxata, Informatica, Hitachi Vantara

ReportsWeb newly added the Global Data Wrangling Market Report that gives meticulous investigation of current scenario of the Market size, share, demand, growth, trends, and forecast in the coming years.

Global Data Wrangling Market 2018 Forecast to 2023

Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Data Wrangling.

This report studies the Data Wrangling market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Data Wrangling market by product type and applications/end industries.

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Companies Profiled in this report includes: IBM, Oracle, SAS, Trifacta, Datawatch, Talend, Alteryx, Dataiku, TIBCO Software, Paxata, Informatica, Hitachi Vantara, Teradata, IRI, Brillio, Onedot, TMMData., Datameer, Cooladata, Unifi Software, Rapid Insight, Infogix, Zaloni, Impetus, Ideata Analytics

Market Segment by Type, covers

On-premises

Cloud

Market Segment by Applications, can be divided into

BFSI

Telecom and IT

Retail and eCommerce

Healthcare and Life Sciences

Travel and Hospitality

Government

Manufacturing

Energy and Utilities

Transportation and Logistics

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Table of Content:

1 Data Wrangling Market Overview

2 Manufacturers Profiles

2.1 IBM

2.1.1 Business Overview

2.1.2 Data Wrangling Type and Applications

2.1.2.1 Product A

2.1.2.2 Product B

2.1.3 IBM Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)

2.2 Oracle

2.2.1 Business Overview

2.2.2 Data Wrangling Type and Applications

2.2.2.1 Product A

2.2.2.2 Product B

2.2.3 Oracle Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)

2.3 SAS

2.3.1 Business Overview

2.3.2 Data Wrangling Type and Applications

2.3.2.1 Product A

2.3.2.2 Product B

2.3.3 SAS Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)

2.4 Trifacta

Global Data Wrangling Market Competition, by Players

4 Global Data Wrangling Market Size by Regions

5 North America Data Wrangling Revenue by Countries

6 Europe Data Wrangling Revenue by Countries

7 Asia-Pacific Data Wrangling Revenue by Countries

8 South America Data Wrangling Revenue by Countries

9 Middle East and Africa Revenue Data Wrangling by Countries

10 Global Data Wrangling Market Segment by Type

11 Global Data Wrangling Market Segment by Application

12 Global Data Wrangling Market Size Forecast (2018-2023)

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Posted by Rajat Sahni on Tuesday November 20 2018, 4:17 AM EST. All trademarks acknowledged. Filed under Uncategorized. Comments and Trackbacks closed. Follow responses: RSS 2.0