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The Europe Data Wrangling Market would witness market growth of 16.1% CAGR during the forecast period (2017 ? 2023). Data wrangling is used to transform and map data from one "raw" data form to another form to make data more appropriate and valuable in various activities such as analytics. Comprehensive analytical solutions are deployed to identify log patterns, root causes for various activities and analyze user behavior accordingly. Data wrangling tools would therefore be majorly used to clean, profile, and standardize data. With the widespread adoption of edge analytics, data wrangling tools would witness rapid adoption, across industry verticals. These tools enable the filtering of data and systemize the same for its use in AI and ML algorithms. Operations being a core function within organizations, the adoption of data wrangling tools would witness significant adoption during the forecast period.
Based on Component, the Data Wrangling market segments the market into Tools and Services. The Services market is segmented into Professional and Managed Services.Based on Business Function, the market report segments the market into Finance, Sales & Marketing, Human Resource, Operations, and Others. Based on Organization Size, the Data Wrangling market segments the market into Small & Medium Enterprises and Large Enterprises. Based on Deployment Mode, the market report segments the market into On Demand and On-Premise. Based on Vertical, the Data Wrangling market segments the market into BFSI, Government & Public Sector, Energy & Utilities, Healthcare, Manufacturing, Retail, Telecom & IT, Travel & Hospitality, and Others.
Based on Countries, the Data Wrangling market segments the market into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe. The market research report covers the competition analysis of key stake holders of the Europe Data Wrangling Market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, Talend Inc., Trifacta, TIBCO Software, Inc., Informatica, Hitachi Ltd. (Hitachi Vantara), Teradata Corporation, SAS Institute, Inc., and Datawatch Corporation.