Data Wrangling Market by Business Function (Finance, Marketing and Sales, Operations, Human Resources, and Legal), by Component (Tools, and Services), by Deployment (On-Premises and Cloud), and by Vertical (BFSI, Government and Public Sector, Healthcare and Life Science, Retail and E-commerce, Telecommunication and IT, Travel and Hospitality, Manufacturing, Energy & Utilities, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2017-2024

Global data wrangling market expected to reach approximately USD 3.97 billion in 2024, growing at a CAGR of 19.81% between 2018 and 2024. Data wrangling is defined as a process of unifying and cleaning complex and messy data sets for easy analysis and access.

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24-Jul-2018 | Number of pages: 110 | Report Code: ZMR-3244 | Report Format : | Status : Published

Abstract

The report covers forecast and analysis for the data wrangling market on a global and regional level. The study provides historic data of 2015-2017 along with a forecast from 2018 to 2024 based on revenue (USD Billion). The study includes drivers and restraints for the data wrangling market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the data wrangling market on a global level.

This report offers comprehensive coverage on global data wrangling market along with, market trends, drivers, and restraints of the data wrangling market. This report includes a detailed competitive scenario and the product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s Five Forces model for the data wrangling market has also been included. The study encompasses a market attractiveness analysis, wherein all segments are benchmarked based on their market size, growth rate, and general attractiveness. This report is prepared using data sourced from in-house databases, secondary and primary research team of industry experts.

Global Data Wrangling Market

The study provides a decisive view of the data wrangling market by segmenting the market based on business function, component, deployment, verticals, and regions. All the segments have been analyzed based on present and future trends and the market is estimated from 2018 to 2024. By business function, the market is divided into finance, marketing and sales, operations, human resources, and legal. Further, by component type market is divided into tools and services. Furthermore, by deployment market is classified into on-premises and cloud. On the basis of verticals, the market can be categorized into BFSI, government and public sector, healthcare and life science, retail and e-commerce, telecommunication and IT, travel and hospitality, manufacturing, energy and utilities, and others. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. 

The report covers a detailed competitive outlook including the market share and company profiles of some of the key participants operating in the global data wrangling market include IBM Corporation, Oracle, SAS Institute, Trifacta, Datawatch, Talend, Alteryx, Dataiku, TIBCO Software, Paxata, Informatica, Hitachi Vantara, Teradata, Onedot, Brilio, and others.

The report segments the global data wrangling market as follows:

Global Data Wrangling Market: Business Function Segment Analysis

  • Finance
  • Marketing and Sales
  • Operations
  • Human Resources
  • Legal

Global Data Wrangling Market: Component Segment Analysis

  • Tools
  • Services

Global Data Wrangling Market: Deployment Segment Analysis

  • On-Premises
  • Cloud

Global Data Wrangling Market: Vertical Segment Analysis

  • BFSI
  • Government and Public Sector
  • Healthcare and Life Science
  • Retail and E-commerce
  • Telecommunication and IT
  • Travel and Hospitality
  • Manufacturing
  • Energy and Utilities
  • Others

Global Data Wrangling Market: Regional Segment Analysis

  • North America
    • The U.S.
  • Europe
    • UK
    • France
    • Germany
  • Asia Pacific
    • China
    • Japan
    • India
  • Latin America
    • Brazil
  • Middle East and Africa

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