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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 was valued at US$ 1323.1 million in 2023 and is anticipated to reach US$ 2863.1 million by 2030, witnessing a CAGR of 11.2% during the forecast period 2024-2030.
North American market for Data Wrangling is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Wrangling is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Data Wrangling in BFSI is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Data Wrangling include IBM, Oracle, SAS, Trifacta, Datawatch, Talend, Alteryx, Dataiku and TIBCO Software, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Data Wrangling, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Wrangling.
Report Scope
The Data Wrangling market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Wrangling market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Wrangling companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
- 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
Segment by Type
- On-premises
- Cloud Based
Segment 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
By Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Netherlands)
- Asia-Pacific (China, Japan, South Korea, China Taiwan, Southeast Asia, India)
- Latin America, Middle East & Africa (Latin America, Mexico, Brazil, Turkey)
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Data Wrangling companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Wrangling Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Data Wrangling Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 Telecom and IT
1.3.4 Retail and eCommerce
1.3.5 Healthcare and Life Sciences
1.3.6 Travel and Hospitality
1.3.7 Government
1.3.8 Manufacturing
1.3.9 Energy and Utilities
1.3.10 Transportation and Logistics
1.3.11 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Wrangling Market Perspective (2019-2030)
2.2 Data Wrangling Growth Trends by Region
2.2.1 Global Data Wrangling Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Wrangling Historic Market Size by Region (2019-2024)
2.2.3 Data Wrangling Forecasted Market Size by Region (2025-2030)
2.3 Data Wrangling Market Dynamics
2.3.1 Data Wrangling Industry Trends
2.3.2 Data Wrangling Market Drivers
2.3.3 Data Wrangling Market Challenges
2.3.4 Data Wrangling Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Wrangling Players by Revenue
3.1.1 Global Top Data Wrangling Players by Revenue (2019-2024)
3.1.2 Global Data Wrangling Revenue Market Share by Players (2019-2024)
3.2 Global Data Wrangling Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Wrangling Revenue
3.4 Global Data Wrangling Market Concentration Ratio
3.4.1 Global Data Wrangling Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Wrangling Revenue in 2023
3.5 Data Wrangling Key Players Head office and Area Served
3.6 Key Players Data Wrangling Product Solution and Service
3.7 Date of Enter into Data Wrangling Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Wrangling Breakdown Data by Type
4.1 Global Data Wrangling Historic Market Size by Type (2019-2024)
4.2 Global Data Wrangling Forecasted Market Size by Type (2025-2030)
5 Data Wrangling Breakdown Data by Application
5.1 Global Data Wrangling Historic Market Size by Application (2019-2024)
5.2 Global Data Wrangling Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Wrangling Market Size (2019-2030)
6.2 North America Data Wrangling Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Wrangling Market Size by Country (2019-2024)
6.4 North America Data Wrangling Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Wrangling Market Size (2019-2030)
7.2 Europe Data Wrangling Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Wrangling Market Size by Country (2019-2024)
7.4 Europe Data Wrangling Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Wrangling Market Size (2019-2030)
8.2 Asia-Pacific Data Wrangling Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Wrangling Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Wrangling Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Wrangling Market Size (2019-2030)
9.2 Latin America Data Wrangling Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Wrangling Market Size by Country (2019-2024)
9.4 Latin America Data Wrangling Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Wrangling Market Size (2019-2030)
10.2 Middle East & Africa Data Wrangling Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Wrangling Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Wrangling Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Data Wrangling Introduction
11.1.4 IBM Revenue in Data Wrangling Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Data Wrangling Introduction
11.2.4 Oracle Revenue in Data Wrangling Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 SAS
11.3.1 SAS Company Detail
11.3.2 SAS Business Overview
11.3.3 SAS Data Wrangling Introduction
11.3.4 SAS Revenue in Data Wrangling Business (2019-2024)
11.3.5 SAS Recent Development
11.4 Trifacta
11.4.1 Trifacta Company Detail
11.4.2 Trifacta Business Overview
11.4.3 Trifacta Data Wrangling Introduction
11.4.4 Trifacta Revenue in Data Wrangling Business (2019-2024)
11.4.5 Trifacta Recent Development
11.5 Datawatch
11.5.1 Datawatch Company Detail
11.5.2 Datawatch Business Overview
11.5.3 Datawatch Data Wrangling Introduction
11.5.4 Datawatch Revenue in Data Wrangling Business (2019-2024)
11.5.5 Datawatch Recent Development
11.6 Talend
11.6.1 Talend Company Detail
11.6.2 Talend Business Overview
11.6.3 Talend Data Wrangling Introduction
11.6.4 Talend Revenue in Data Wrangling Business (2019-2024)
11.6.5 Talend Recent Development
11.7 Alteryx
11.7.1 Alteryx Company Detail
11.7.2 Alteryx Business Overview
11.7.3 Alteryx Data Wrangling Introduction
11.7.4 Alteryx Revenue in Data Wrangling Business (2019-2024)
11.7.5 Alteryx Recent Development
11.8 Dataiku
11.8.1 Dataiku Company Detail
11.8.2 Dataiku Business Overview
11.8.3 Dataiku Data Wrangling Introduction
11.8.4 Dataiku Revenue in Data Wrangling Business (2019-2024)
11.8.5 Dataiku Recent Development
11.9 TIBCO Software
11.9.1 TIBCO Software Company Detail
11.9.2 TIBCO Software Business Overview
11.9.3 TIBCO Software Data Wrangling Introduction
11.9.4 TIBCO Software Revenue in Data Wrangling Business (2019-2024)
11.9.5 TIBCO Software Recent Development
11.10 Paxata
11.10.1 Paxata Company Detail
11.10.2 Paxata Business Overview
11.10.3 Paxata Data Wrangling Introduction
11.10.4 Paxata Revenue in Data Wrangling Business (2019-2024)
11.10.5 Paxata Recent Development
11.11 Informatica
11.11.1 Informatica Company Detail
11.11.2 Informatica Business Overview
11.11.3 Informatica Data Wrangling Introduction
11.11.4 Informatica Revenue in Data Wrangling Business (2019-2024)
11.11.5 Informatica Recent Development
11.12 Hitachi Vantara
11.12.1 Hitachi Vantara Company Detail
11.12.2 Hitachi Vantara Business Overview
11.12.3 Hitachi Vantara Data Wrangling Introduction
11.12.4 Hitachi Vantara Revenue in Data Wrangling Business (2019-2024)
11.12.5 Hitachi Vantara Recent Development
11.13 Teradata
11.13.1 Teradata Company Detail
11.13.2 Teradata Business Overview
11.13.3 Teradata Data Wrangling Introduction
11.13.4 Teradata Revenue in Data Wrangling Business (2019-2024)
11.13.5 Teradata Recent Development
11.14 IRI
11.14.1 IRI Company Detail
11.14.2 IRI Business Overview
11.14.3 IRI Data Wrangling Introduction
11.14.4 IRI Revenue in Data Wrangling Business (2019-2024)
11.14.5 IRI Recent Development
11.15 Brillio
11.15.1 Brillio Company Detail
11.15.2 Brillio Business Overview
11.15.3 Brillio Data Wrangling Introduction
11.15.4 Brillio Revenue in Data Wrangling Business (2019-2024)
11.15.5 Brillio Recent Development
11.16 Onedot
11.16.1 Onedot Company Detail
11.16.2 Onedot Business Overview
11.16.3 Onedot Data Wrangling Introduction
11.16.4 Onedot Revenue in Data Wrangling Business (2019-2024)
11.16.5 Onedot Recent Development
11.17 TMMData
11.17.1 TMMData Company Detail
11.17.2 TMMData Business Overview
11.17.3 TMMData Data Wrangling Introduction
11.17.4 TMMData Revenue in Data Wrangling Business (2019-2024)
11.17.5 TMMData Recent Development
11.18 Datameer
11.18.1 Datameer Company Detail
11.18.2 Datameer Business Overview
11.18.3 Datameer Data Wrangling Introduction
11.18.4 Datameer Revenue in Data Wrangling Business (2019-2024)
11.18.5 Datameer Recent Development
11.19 Cooladata
11.19.1 Cooladata Company Detail
11.19.2 Cooladata Business Overview
11.19.3 Cooladata Data Wrangling Introduction
11.19.4 Cooladata Revenue in Data Wrangling Business (2019-2024)
11.19.5 Cooladata Recent Development
11.20 Unifi Software
11.20.1 Unifi Software Company Detail
11.20.2 Unifi Software Business Overview
11.20.3 Unifi Software Data Wrangling Introduction
11.20.4 Unifi Software Revenue in Data Wrangling Business (2019-2024)
11.20.5 Unifi Software Recent Development
11.21 Rapid Insight
11.21.1 Rapid Insight Company Detail
11.21.2 Rapid Insight Business Overview
11.21.3 Rapid Insight Data Wrangling Introduction
11.21.4 Rapid Insight Revenue in Data Wrangling Business (2019-2024)
11.21.5 Rapid Insight Recent Development
11.22 Infogix
11.22.1 Infogix Company Detail
11.22.2 Infogix Business Overview
11.22.3 Infogix Data Wrangling Introduction
11.22.4 Infogix Revenue in Data Wrangling Business (2019-2024)
11.22.5 Infogix Recent Development
11.23 Zaloni
11.23.1 Zaloni Company Detail
11.23.2 Zaloni Business Overview
11.23.3 Zaloni Data Wrangling Introduction
11.23.4 Zaloni Revenue in Data Wrangling Business (2019-2024)
11.23.5 Zaloni Recent Development
11.24 Impetus
11.24.1 Impetus Company Detail
11.24.2 Impetus Business Overview
11.24.3 Impetus Data Wrangling Introduction
11.24.4 Impetus Revenue in Data Wrangling Business (2019-2024)
11.24.5 Impetus Recent Development
11.25 Ideata Analytics
11.25.1 Ideata Analytics Company Detail
11.25.2 Ideata Analytics Business Overview
11.25.3 Ideata Analytics Data Wrangling Introduction
11.25.4 Ideata Analytics Revenue in Data Wrangling Business (2019-2024)
11.25.5 Ideata Analytics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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