The global Data Wrangling market size was valued at USD 1361.4 million in 2023 and is forecast to a readjusted size of USD 2776.6 million by 2030 with a CAGR of 10.7% during review period.
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.
This report includes an overview of the development of the Data Wrangling industry chain, the market status of BFSI (On-premises, Cloud Based), Telecom and IT (On-premises, Cloud Based), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Data Wrangling.
Regionally, the report analyzes the Data Wrangling markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Data Wrangling market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Data Wrangling market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Data Wrangling industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., On-premises, Cloud Based).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Data Wrangling market.
Regional Analysis: The report involves examining the Data Wrangling market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Data Wrangling market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Data Wrangling:
Company Analysis: Report covers individual Data Wrangling players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Data Wrangling This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (BFSI, Telecom and IT).
Technology Analysis: Report covers specific technologies relevant to Data Wrangling. It assesses the current state, advancements, and potential future developments in Data Wrangling areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Data Wrangling market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Data Wrangling market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
On-premises
Cloud Based
Market 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
Market segment by players, this report covers
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
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Data Wrangling product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Data Wrangling, with revenue, gross margin and global market share of Data Wrangling from 2019 to 2024.
Chapter 3, the Data Wrangling competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Data Wrangling market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Data Wrangling.
Chapter 13, to describe Data Wrangling research findings and conclusion.
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1 Market Overview
1.1 Product Overview and Scope of Data Wrangling
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Data Wrangling by Type
1.3.1 Overview: Global Data Wrangling Market Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Data Wrangling Consumption Value Market Share by Type in 2023
1.3.3 On-premises
1.3.4 Cloud Based
1.4 Global Data Wrangling Market by Application
1.4.1 Overview: Global Data Wrangling Market Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 BFSI
1.4.3 Telecom and IT
1.4.4 Retail and eCommerce
1.4.5 Healthcare and Life Sciences
1.4.6 Travel and Hospitality
1.4.7 Government
1.4.8 Manufacturing
1.4.9 Energy and Utilities
1.4.10 Transportation and Logistics
1.4.11 Others
1.5 Global Data Wrangling Market Size & Forecast
1.6 Global Data Wrangling Market Size and Forecast by Region
1.6.1 Global Data Wrangling Market Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Data Wrangling Market Size by Region, (2019-2030)
1.6.3 North America Data Wrangling Market Size and Prospect (2019-2030)
1.6.4 Europe Data Wrangling Market Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Data Wrangling Market Size and Prospect (2019-2030)
1.6.6 South America Data Wrangling Market Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Data Wrangling Market Size and Prospect (2019-2030)
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM Data Wrangling Product and Solutions
2.1.4 IBM Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 IBM Recent Developments and Future Plans
2.2 Oracle
2.2.1 Oracle Details
2.2.2 Oracle Major Business
2.2.3 Oracle Data Wrangling Product and Solutions
2.2.4 Oracle Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 Oracle Recent Developments and Future Plans
2.3 SAS
2.3.1 SAS Details
2.3.2 SAS Major Business
2.3.3 SAS Data Wrangling Product and Solutions
2.3.4 SAS Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 SAS Recent Developments and Future Plans
2.4 Trifacta
2.4.1 Trifacta Details
2.4.2 Trifacta Major Business
2.4.3 Trifacta Data Wrangling Product and Solutions
2.4.4 Trifacta Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 Trifacta Recent Developments and Future Plans
2.5 Datawatch
2.5.1 Datawatch Details
2.5.2 Datawatch Major Business
2.5.3 Datawatch Data Wrangling Product and Solutions
2.5.4 Datawatch Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 Datawatch Recent Developments and Future Plans
2.6 Talend
2.6.1 Talend Details
2.6.2 Talend Major Business
2.6.3 Talend Data Wrangling Product and Solutions
2.6.4 Talend Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 Talend Recent Developments and Future Plans
2.7 Alteryx
2.7.1 Alteryx Details
2.7.2 Alteryx Major Business
2.7.3 Alteryx Data Wrangling Product and Solutions
2.7.4 Alteryx Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.7.5 Alteryx Recent Developments and Future Plans
2.8 Dataiku
2.8.1 Dataiku Details
2.8.2 Dataiku Major Business
2.8.3 Dataiku Data Wrangling Product and Solutions
2.8.4 Dataiku Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.8.5 Dataiku Recent Developments and Future Plans
2.9 TIBCO Software
2.9.1 TIBCO Software Details
2.9.2 TIBCO Software Major Business
2.9.3 TIBCO Software Data Wrangling Product and Solutions
2.9.4 TIBCO Software Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.9.5 TIBCO Software Recent Developments and Future Plans
2.10 Paxata
2.10.1 Paxata Details
2.10.2 Paxata Major Business
2.10.3 Paxata Data Wrangling Product and Solutions
2.10.4 Paxata Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.10.5 Paxata Recent Developments and Future Plans
2.11 Informatica
2.11.1 Informatica Details
2.11.2 Informatica Major Business
2.11.3 Informatica Data Wrangling Product and Solutions
2.11.4 Informatica Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.11.5 Informatica Recent Developments and Future Plans
2.12 Hitachi Vantara
2.12.1 Hitachi Vantara Details
2.12.2 Hitachi Vantara Major Business
2.12.3 Hitachi Vantara Data Wrangling Product and Solutions
2.12.4 Hitachi Vantara Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.12.5 Hitachi Vantara Recent Developments and Future Plans
2.13 Teradata
2.13.1 Teradata Details
2.13.2 Teradata Major Business
2.13.3 Teradata Data Wrangling Product and Solutions
2.13.4 Teradata Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.13.5 Teradata Recent Developments and Future Plans
2.14 IRI
2.14.1 IRI Details
2.14.2 IRI Major Business
2.14.3 IRI Data Wrangling Product and Solutions
2.14.4 IRI Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.14.5 IRI Recent Developments and Future Plans
2.15 Brillio
2.15.1 Brillio Details
2.15.2 Brillio Major Business
2.15.3 Brillio Data Wrangling Product and Solutions
2.15.4 Brillio Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.15.5 Brillio Recent Developments and Future Plans
2.16 Onedot
2.16.1 Onedot Details
2.16.2 Onedot Major Business
2.16.3 Onedot Data Wrangling Product and Solutions
2.16.4 Onedot Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.16.5 Onedot Recent Developments and Future Plans
2.17 TMMData
2.17.1 TMMData Details
2.17.2 TMMData Major Business
2.17.3 TMMData Data Wrangling Product and Solutions
2.17.4 TMMData Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.17.5 TMMData Recent Developments and Future Plans
2.18 Datameer
2.18.1 Datameer Details
2.18.2 Datameer Major Business
2.18.3 Datameer Data Wrangling Product and Solutions
2.18.4 Datameer Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.18.5 Datameer Recent Developments and Future Plans
2.19 Cooladata
2.19.1 Cooladata Details
2.19.2 Cooladata Major Business
2.19.3 Cooladata Data Wrangling Product and Solutions
2.19.4 Cooladata Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.19.5 Cooladata Recent Developments and Future Plans
2.20 Unifi Software
2.20.1 Unifi Software Details
2.20.2 Unifi Software Major Business
2.20.3 Unifi Software Data Wrangling Product and Solutions
2.20.4 Unifi Software Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.20.5 Unifi Software Recent Developments and Future Plans
2.21 Rapid Insight
2.21.1 Rapid Insight Details
2.21.2 Rapid Insight Major Business
2.21.3 Rapid Insight Data Wrangling Product and Solutions
2.21.4 Rapid Insight Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.21.5 Rapid Insight Recent Developments and Future Plans
2.22 Infogix
2.22.1 Infogix Details
2.22.2 Infogix Major Business
2.22.3 Infogix Data Wrangling Product and Solutions
2.22.4 Infogix Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.22.5 Infogix Recent Developments and Future Plans
2.23 Zaloni
2.23.1 Zaloni Details
2.23.2 Zaloni Major Business
2.23.3 Zaloni Data Wrangling Product and Solutions
2.23.4 Zaloni Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.23.5 Zaloni Recent Developments and Future Plans
2.24 Impetus
2.24.1 Impetus Details
2.24.2 Impetus Major Business
2.24.3 Impetus Data Wrangling Product and Solutions
2.24.4 Impetus Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.24.5 Impetus Recent Developments and Future Plans
2.25 Ideata Analytics
2.25.1 Ideata Analytics Details
2.25.2 Ideata Analytics Major Business
2.25.3 Ideata Analytics Data Wrangling Product and Solutions
2.25.4 Ideata Analytics Data Wrangling Revenue, Gross Margin and Market Share (2019-2024)
2.25.5 Ideata Analytics Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Data Wrangling Revenue and Share by Players (2019-2024)
3.2 Market Share Analysis (2023)
3.2.1 Market Share of Data Wrangling by Company Revenue
3.2.2 Top 3 Data Wrangling Players Market Share in 2023
3.2.3 Top 6 Data Wrangling Players Market Share in 2023
3.3 Data Wrangling Market: Overall Company Footprint Analysis
3.3.1 Data Wrangling Market: Region Footprint
3.3.2 Data Wrangling Market: Company Product Type Footprint
3.3.3 Data Wrangling Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Data Wrangling Consumption Value and Market Share by Type (2019-2024)
4.2 Global Data Wrangling Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
5.1 Global Data Wrangling Consumption Value Market Share by Application (2019-2024)
5.2 Global Data Wrangling Market Forecast by Application (2025-2030)
6 North America
6.1 North America Data Wrangling Consumption Value by Type (2019-2030)
6.2 North America Data Wrangling Consumption Value by Application (2019-2030)
6.3 North America Data Wrangling Market Size by Country
6.3.1 North America Data Wrangling Consumption Value by Country (2019-2030)
6.3.2 United States Data Wrangling Market Size and Forecast (2019-2030)
6.3.3 Canada Data Wrangling Market Size and Forecast (2019-2030)
6.3.4 Mexico Data Wrangling Market Size and Forecast (2019-2030)
7 Europe
7.1 Europe Data Wrangling Consumption Value by Type (2019-2030)
7.2 Europe Data Wrangling Consumption Value by Application (2019-2030)
7.3 Europe Data Wrangling Market Size by Country
7.3.1 Europe Data Wrangling Consumption Value by Country (2019-2030)
7.3.2 Germany Data Wrangling Market Size and Forecast (2019-2030)
7.3.3 France Data Wrangling Market Size and Forecast (2019-2030)
7.3.4 United Kingdom Data Wrangling Market Size and Forecast (2019-2030)
7.3.5 Russia Data Wrangling Market Size and Forecast (2019-2030)
7.3.6 Italy Data Wrangling Market Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Data Wrangling Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Data Wrangling Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Data Wrangling Market Size by Region
8.3.1 Asia-Pacific Data Wrangling Consumption Value by Region (2019-2030)
8.3.2 China Data Wrangling Market Size and Forecast (2019-2030)
8.3.3 Japan Data Wrangling Market Size and Forecast (2019-2030)
8.3.4 South Korea Data Wrangling Market Size and Forecast (2019-2030)
8.3.5 India Data Wrangling Market Size and Forecast (2019-2030)
8.3.6 Southeast Asia Data Wrangling Market Size and Forecast (2019-2030)
8.3.7 Australia Data Wrangling Market Size and Forecast (2019-2030)
9 South America
9.1 South America Data Wrangling Consumption Value by Type (2019-2030)
9.2 South America Data Wrangling Consumption Value by Application (2019-2030)
9.3 South America Data Wrangling Market Size by Country
9.3.1 South America Data Wrangling Consumption Value by Country (2019-2030)
9.3.2 Brazil Data Wrangling Market Size and Forecast (2019-2030)
9.3.3 Argentina Data Wrangling Market Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Data Wrangling Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Data Wrangling Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Data Wrangling Market Size by Country
10.3.1 Middle East & Africa Data Wrangling Consumption Value by Country (2019-2030)
10.3.2 Turkey Data Wrangling Market Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Data Wrangling Market Size and Forecast (2019-2030)
10.3.4 UAE Data Wrangling Market Size and Forecast (2019-2030)
11 Market Dynamics
11.1 Data Wrangling Market Drivers
11.2 Data Wrangling Market Restraints
11.3 Data Wrangling Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Data Wrangling Industry Chain
12.2 Data Wrangling Upstream Analysis
12.3 Data Wrangling Midstream Analysis
12.4 Data Wrangling Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
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
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*If Applicable.