The Market Reports

Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com

Data Wrangling-Global Market Insights and Sales Trends 2025

Data Wrangling-Global Market Insights and Sales Trends 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1859704

No of Pages : 121

Ask Your Query

Synopsis

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 global Data Wrangling market size is expected to reach US$ 2863.1 million by 2029, growing at a CAGR of 11.2% from 2023 to 2029. The market is mainly driven by the significant applications of Data Wrangling in various end use industries.

The expanding demands from the BFSI, Telecom and IT, Retail and eCommerce and Healthcare and Life Sciences, are propelling Data Wrangling market. On-premises, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud Based segment is estimated at % CAGR for the next seven-year period.

Asia Pacific shows high growth potential for Data Wrangling market, driven by demand from China, the second largest economy with some signs of stabilising, the Data Wrangling market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.

Report Objectives

This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Data Wrangling, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.

Key Features of The Study:

This report provides in-depth analysis of the global Data Wrangling market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.

This report profiles key players in the global Data Wrangling market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Data Wrangling sales data, market share and ranking.

This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.

This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.

Key companies of Data Wrangling covered in this report include IBM, Oracle, SAS, Trifacta, Datawatch, Talend, Alteryx, Dataiku and TIBCO Software, etc.

The global Data Wrangling market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.

Market Segmentation

Company Profiles:

  • 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

Global Data Wrangling market, by region:

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, UK, Italy, etc.)
  • Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
  • South America (Brazil, etc.)
  • Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Data Wrangling market, Segment by Type:

  • On-premises
  • Cloud Based

Global Data Wrangling market, by Application

  • BFSI
  • Telecom and IT
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Travel and Hospitality
  • Government
  • Manufacturing
  • Energy and Utilities
  • Transportation and Logistics
  • Others

Core Chapters

Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Data Wrangling companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion

Index

1 Market Overview of Data Wrangling
1.1 Data Wrangling Market Overview
1.1.1 Data Wrangling Product Scope
1.1.2 Data Wrangling Market Status and Outlook
1.2 Global Data Wrangling Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Data Wrangling Market Size by Region (2018-2029)
1.4 Global Data Wrangling Historic Market Size by Region (2018-2023)
1.5 Global Data Wrangling Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Data Wrangling Market Size (2018-2029)
1.6.1 North America Data Wrangling Market Size (2018-2029)
1.6.2 Europe Data Wrangling Market Size (2018-2029)
1.6.3 Asia-Pacific Data Wrangling Market Size (2018-2029)
1.6.4 Latin America Data Wrangling Market Size (2018-2029)
1.6.5 Middle East & Africa Data Wrangling Market Size (2018-2029)
2 Data Wrangling Market by Type
2.1 Introduction
2.1.1 On-premises
2.1.2 Cloud Based
2.2 Global Data Wrangling Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Data Wrangling Historic Market Size by Type (2018-2023)
2.2.2 Global Data Wrangling Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Data Wrangling Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Data Wrangling Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Data Wrangling Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Data Wrangling Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Data Wrangling Revenue Breakdown by Type (2018-2029)
3 Data Wrangling Market Overview by Application
3.1 Introduction
3.1.1 BFSI
3.1.2 Telecom and IT
3.1.3 Retail and eCommerce
3.1.4 Healthcare and Life Sciences
3.1.5 Travel and Hospitality
3.1.6 Government
3.1.7 Manufacturing
3.1.8 Energy and Utilities
3.1.9 Transportation and Logistics
3.1.10 Others
3.2 Global Data Wrangling Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Data Wrangling Historic Market Size by Application (2018-2023)
3.2.2 Global Data Wrangling Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Data Wrangling Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Data Wrangling Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Data Wrangling Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Data Wrangling Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Data Wrangling Revenue Breakdown by Application (2018-2029)
4 Data Wrangling Competition Analysis by Players
4.1 Global Data Wrangling Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Data Wrangling as of 2022)
4.3 Date of Key Players Enter into Data Wrangling Market
4.4 Global Top Players Data Wrangling Headquarters and Area Served
4.5 Key Players Data Wrangling Product Solution and Service
4.6 Competitive Status
4.6.1 Data Wrangling Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 IBM
5.1.1 IBM Profile
5.1.2 IBM Main Business
5.1.3 IBM Data Wrangling Products, Services and Solutions
5.1.4 IBM Data Wrangling Revenue (US$ Million) & (2018-2023)
5.1.5 IBM Recent Developments
5.2 Oracle
5.2.1 Oracle Profile
5.2.2 Oracle Main Business
5.2.3 Oracle Data Wrangling Products, Services and Solutions
5.2.4 Oracle Data Wrangling Revenue (US$ Million) & (2018-2023)
5.2.5 Oracle Recent Developments
5.3 SAS
5.3.1 SAS Profile
5.3.2 SAS Main Business
5.3.3 SAS Data Wrangling Products, Services and Solutions
5.3.4 SAS Data Wrangling Revenue (US$ Million) & (2018-2023)
5.3.5 Trifacta Recent Developments
5.4 Trifacta
5.4.1 Trifacta Profile
5.4.2 Trifacta Main Business
5.4.3 Trifacta Data Wrangling Products, Services and Solutions
5.4.4 Trifacta Data Wrangling Revenue (US$ Million) & (2018-2023)
5.4.5 Trifacta Recent Developments
5.5 Datawatch
5.5.1 Datawatch Profile
5.5.2 Datawatch Main Business
5.5.3 Datawatch Data Wrangling Products, Services and Solutions
5.5.4 Datawatch Data Wrangling Revenue (US$ Million) & (2018-2023)
5.5.5 Datawatch Recent Developments
5.6 Talend
5.6.1 Talend Profile
5.6.2 Talend Main Business
5.6.3 Talend Data Wrangling Products, Services and Solutions
5.6.4 Talend Data Wrangling Revenue (US$ Million) & (2018-2023)
5.6.5 Talend Recent Developments
5.7 Alteryx
5.7.1 Alteryx Profile
5.7.2 Alteryx Main Business
5.7.3 Alteryx Data Wrangling Products, Services and Solutions
5.7.4 Alteryx Data Wrangling Revenue (US$ Million) & (2018-2023)
5.7.5 Alteryx Recent Developments
5.8 Dataiku
5.8.1 Dataiku Profile
5.8.2 Dataiku Main Business
5.8.3 Dataiku Data Wrangling Products, Services and Solutions
5.8.4 Dataiku Data Wrangling Revenue (US$ Million) & (2018-2023)
5.8.5 Dataiku Recent Developments
5.9 TIBCO Software
5.9.1 TIBCO Software Profile
5.9.2 TIBCO Software Main Business
5.9.3 TIBCO Software Data Wrangling Products, Services and Solutions
5.9.4 TIBCO Software Data Wrangling Revenue (US$ Million) & (2018-2023)
5.9.5 TIBCO Software Recent Developments
5.10 Paxata
5.10.1 Paxata Profile
5.10.2 Paxata Main Business
5.10.3 Paxata Data Wrangling Products, Services and Solutions
5.10.4 Paxata Data Wrangling Revenue (US$ Million) & (2018-2023)
5.10.5 Paxata Recent Developments
5.11 Informatica
5.11.1 Informatica Profile
5.11.2 Informatica Main Business
5.11.3 Informatica Data Wrangling Products, Services and Solutions
5.11.4 Informatica Data Wrangling Revenue (US$ Million) & (2018-2023)
5.11.5 Informatica Recent Developments
5.12 Hitachi Vantara
5.12.1 Hitachi Vantara Profile
5.12.2 Hitachi Vantara Main Business
5.12.3 Hitachi Vantara Data Wrangling Products, Services and Solutions
5.12.4 Hitachi Vantara Data Wrangling Revenue (US$ Million) & (2018-2023)
5.12.5 Hitachi Vantara Recent Developments
5.13 Teradata
5.13.1 Teradata Profile
5.13.2 Teradata Main Business
5.13.3 Teradata Data Wrangling Products, Services and Solutions
5.13.4 Teradata Data Wrangling Revenue (US$ Million) & (2018-2023)
5.13.5 Teradata Recent Developments
5.14 IRI
5.14.1 IRI Profile
5.14.2 IRI Main Business
5.14.3 IRI Data Wrangling Products, Services and Solutions
5.14.4 IRI Data Wrangling Revenue (US$ Million) & (2018-2023)
5.14.5 IRI Recent Developments
5.15 Brillio
5.15.1 Brillio Profile
5.15.2 Brillio Main Business
5.15.3 Brillio Data Wrangling Products, Services and Solutions
5.15.4 Brillio Data Wrangling Revenue (US$ Million) & (2018-2023)
5.15.5 Brillio Recent Developments
5.16 Onedot
5.16.1 Onedot Profile
5.16.2 Onedot Main Business
5.16.3 Onedot Data Wrangling Products, Services and Solutions
5.16.4 Onedot Data Wrangling Revenue (US$ Million) & (2018-2023)
5.16.5 Onedot Recent Developments
5.17 TMMData
5.17.1 TMMData Profile
5.17.2 TMMData Main Business
5.17.3 TMMData Data Wrangling Products, Services and Solutions
5.17.4 TMMData Data Wrangling Revenue (US$ Million) & (2018-2023)
5.17.5 TMMData Recent Developments
5.18 Datameer
5.18.1 Datameer Profile
5.18.2 Datameer Main Business
5.18.3 Datameer Data Wrangling Products, Services and Solutions
5.18.4 Datameer Data Wrangling Revenue (US$ Million) & (2018-2023)
5.18.5 Datameer Recent Developments
5.19 Cooladata
5.19.1 Cooladata Profile
5.19.2 Cooladata Main Business
5.19.3 Cooladata Data Wrangling Products, Services and Solutions
5.19.4 Cooladata Data Wrangling Revenue (US$ Million) & (2018-2023)
5.19.5 Cooladata Recent Developments
5.20 Unifi Software
5.20.1 Unifi Software Profile
5.20.2 Unifi Software Main Business
5.20.3 Unifi Software Data Wrangling Products, Services and Solutions
5.20.4 Unifi Software Data Wrangling Revenue (US$ Million) & (2018-2023)
5.20.5 Unifi Software Recent Developments
5.21 Rapid Insight
5.21.1 Rapid Insight Profile
5.21.2 Rapid Insight Main Business
5.21.3 Rapid Insight Data Wrangling Products, Services and Solutions
5.21.4 Rapid Insight Data Wrangling Revenue (US$ Million) & (2018-2023)
5.21.5 Rapid Insight Recent Developments
5.22 Infogix
5.22.1 Infogix Profile
5.22.2 Infogix Main Business
5.22.3 Infogix Data Wrangling Products, Services and Solutions
5.22.4 Infogix Data Wrangling Revenue (US$ Million) & (2018-2023)
5.22.5 Infogix Recent Developments
5.23 Zaloni
5.23.1 Zaloni Profile
5.23.2 Zaloni Main Business
5.23.3 Zaloni Data Wrangling Products, Services and Solutions
5.23.4 Zaloni Data Wrangling Revenue (US$ Million) & (2018-2023)
5.23.5 Zaloni Recent Developments
5.24 Impetus
5.24.1 Impetus Profile
5.24.2 Impetus Main Business
5.24.3 Impetus Data Wrangling Products, Services and Solutions
5.24.4 Impetus Data Wrangling Revenue (US$ Million) & (2018-2023)
5.24.5 Impetus Recent Developments
5.25 Ideata Analytics
5.25.1 Ideata Analytics Profile
5.25.2 Ideata Analytics Main Business
5.25.3 Ideata Analytics Data Wrangling Products, Services and Solutions
5.25.4 Ideata Analytics Data Wrangling Revenue (US$ Million) & (2018-2023)
5.25.5 Ideata Analytics Recent Developments
6 North America
6.1 North America Data Wrangling Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Data Wrangling Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Data Wrangling Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Data Wrangling Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Data Wrangling Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Data Wrangling Market Dynamics
11.1 Data Wrangling Industry Trends
11.2 Data Wrangling Market Drivers
11.3 Data Wrangling Market Challenges
11.4 Data Wrangling Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List

Published By : QY Research

Why ‘The Market Reports’

In Business: Pre Sales Support: Post Sales Support: Turn Around Time: Clients Served: Clients Assisted: Client Types: Payment: Partners with: Number of reports: Custom Research: Report Availability: Report Delivery Format: Security:

Payments Accepted From

Connect with us at

Complete Secure Website

SiteLock