LAMEA Data Wrangling Market By Component (Tools, Services - Professional, Managed), Business Function (Finance, Sales & Marketing, Human Resource, Operations), Organization Size (Small & Medium Enterprises, Large Enterprises), Deployment Mode (On Demand, On-Premise), Vertical (BFSI, Government & Public Sector, Energy & Utilities, Healthcare, Manufacturing, Retail, Telecom & IT, Travel & Hospitality)

Analysis of Market Size & Trends

The Latin America, Middle East and Africa Data Wrangling Market would witness market growth of 21% 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. Rapid growth of big data across industry verticals and growing adoption of AI and ML technologies to remain ahead of competition among the corporations are the factors driving the growth of the market.

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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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA. The market research report covers the competition analysis of key stake holders of the Latin America, Middle East and Africa 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.

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