Data Wrangling Market Growth, Trends, Industry Analysis and Forecast – 2027

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.

Data wrangling market size was valued at $1,458.69 million in 2018 and is projected to reach $5,581.18 million by 2027, growing at a CAGR of 18% from 2021 to 2027.

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The key players covered in this study

  • Onedot
  • TMMData
  • Datameer
  • Cooladata
  • Unifi Software
  • Rapid Insight
  • Infogix
  • Zaloni
  • Impetus
  • Ideata Analytics

Market segment by Type, the product can be split into

  • On-premises
  • Cloud

Market segment by Application, split 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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Scope of the Report


The research study analyzes the global Data Wrangling industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:

Recent Developments

o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment

Geographic Coverage

o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume

Key Questions Answered by Data Wrangling Market Report

1. What was the Data Wrangling Market size in 2018 and 2019; what are the estimated growth trends and market forecast (2021-2027).

  1. What will be the CAGR of Data Wrangling Market during the forecast period (2021-2027)?
    3. Which segments (product type/applications/end-user) were most attractive for investments in 2018? How these segments are expected to grow during the forecast period (2021-2027).
    4. Which manufacturer/vendor/players in the Data Wrangling Market was the market leader in 2018?
    5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.

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