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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.
Scope of the Report:
The global Data Wrangling market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Data Wrangling.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
This report studies the Data Wrangling market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Data Wrangling market by product type and applications/end industries.
Market Segment by Companies, 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 and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
On-premises
Cloud
Market Segment by Applications, can be divided into
BFSI
Telecom and IT
Retail and eCommerce
Healthcare and Life Sciences
Travel and Hospitality
Government
Manufacturing
Energy and Utilities
Transportation and Logistics
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
1 Data Wrangling Market Overview
1.1 Product Overview and Scope of Data Wrangling
1.2 Classification of Data Wrangling by Types
1.2.1 Global Data Wrangling Revenue Comparison by Types (2017-2023)
1.2.2 Global Data Wrangling Revenue Market Share by Types in 2017
1.2.3 On-premises
1.2.4 Cloud
1.3 Global Data Wrangling Market by Application
1.3.1 Global Data Wrangling Market Size and Market Share Comparison by Applications (2013-2023)
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
1.4 Global Data Wrangling Market by Regions
1.4.1 Global Data Wrangling Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Data Wrangling Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Data Wrangling Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Data Wrangling Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Data Wrangling Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Data Wrangling Status and Prospect (2013-2023)
1.5 Global Market Size of Data Wrangling (2013-2023)
2 Manufacturers Profiles
2.1 IBM
2.1.1 Business Overview
2.1.2 Data Wrangling Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 IBM Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.2 Oracle
2.2.1 Business Overview
2.2.2 Data Wrangling Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Oracle Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.3 SAS
2.3.1 Business Overview
2.3.2 Data Wrangling Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 SAS Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.4 Trifacta
2.4.1 Business Overview
2.4.2 Data Wrangling Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Trifacta Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.5 Datawatch
2.5.1 Business Overview
2.5.2 Data Wrangling Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 Datawatch Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.6 Talend
2.6.1 Business Overview
2.6.2 Data Wrangling Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Talend Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.7 Alteryx
2.7.1 Business Overview
2.7.2 Data Wrangling Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Alteryx Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.8 Dataiku
2.8.1 Business Overview
2.8.2 Data Wrangling Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Dataiku Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.9 TIBCO Software
2.9.1 Business Overview
2.9.2 Data Wrangling Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 TIBCO Software Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.10 Paxata
2.10.1 Business Overview
2.10.2 Data Wrangling Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 Paxata Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.11 Informatica
2.11.1 Business Overview
2.11.2 Data Wrangling Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 Informatica Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.12 Hitachi Vantara
2.12.1 Business Overview
2.12.2 Data Wrangling Type and Applications
2.12.2.1 Product A
2.12.2.2 Product B
2.12.3 Hitachi Vantara Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.13 Teradata
2.13.1 Business Overview
2.13.2 Data Wrangling Type and Applications
2.13.2.1 Product A
2.13.2.2 Product B
2.13.3 Teradata Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.14 IRI
2.14.1 Business Overview
2.14.2 Data Wrangling Type and Applications
2.14.2.1 Product A
2.14.2.2 Product B
2.14.3 IRI Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.15 Brillio
2.15.1 Business Overview
2.15.2 Data Wrangling Type and Applications
2.15.2.1 Product A
2.15.2.2 Product B
2.15.3 Brillio Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.16 Onedot
2.16.1 Business Overview
2.16.2 Data Wrangling Type and Applications
2.16.2.1 Product A
2.16.2.2 Product B
2.16.3 Onedot Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.17 TMMData
2.17.1 Business Overview
2.17.2 Data Wrangling Type and Applications
2.17.2.1 Product A
2.17.2.2 Product B
2.17.3 TMMData Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.18 Datameer
2.18.1 Business Overview
2.18.2 Data Wrangling Type and Applications
2.18.2.1 Product A
2.18.2.2 Product B
2.18.3 Datameer Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.19 Cooladata
2.19.1 Business Overview
2.19.2 Data Wrangling Type and Applications
2.19.2.1 Product A
2.19.2.2 Product B
2.19.3 Cooladata Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.20 Unifi Software
2.20.1 Business Overview
2.20.2 Data Wrangling Type and Applications
2.20.2.1 Product A
2.20.2.2 Product B
2.20.3 Unifi Software Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.21 Rapid Insight
2.21.1 Business Overview
2.2.2 Data Wrangling Type and Applications
2.21.2.1 Product A
2.21.2.2 Product B
2.21.3 Rapid Insight Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.22 Infogix
2.22.1 Business Overview
2.22.2 Data Wrangling Type and Applications
2.22.2.1 Product A
2.22.2.2 Product B
2.22.3 Infogix Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.23 Zaloni
2.23.1 Business Overview
2.23.2 Data Wrangling Type and Applications
2.23.2.1 Product A
2.23.2.2 Product B
2.23.3 Zaloni Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.24 Impetus
2.24.1 Business Overview
2.24.2 Data Wrangling Type and Applications
2.24.2.1 Product A
2.24.2.2 Product B
2.24.3 Impetus Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
2.25 Ideata Analytics
2.25.1 Business Overview
2.25.2 Data Wrangling Type and Applications
2.25.2.1 Product A
2.25.2.2 Product B
2.25.3 Ideata Analytics Data Wrangling Revenue, Gross Margin and Market Share (2016-2017)
3 Global Data Wrangling Market Competition, by Players
3.1 Global Data Wrangling Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 Data Wrangling Players Market Share
3.2.2 Top 10 Data Wrangling Players Market Share
3.3 Market Competition Trend
4 Global Data Wrangling Market Size by Regions
4.1 Global Data Wrangling Revenue and Market Share by Regions
4.2 North America Data Wrangling Revenue and Growth Rate (2013-2018)
4.3 Europe Data Wrangling Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Data Wrangling Revenue and Growth Rate (2013-2018)
4.5 South America Data Wrangling Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Data Wrangling Revenue and Growth Rate (2013-2018)
5 North America Data Wrangling Revenue by Countries
5.1 North America Data Wrangling Revenue by Countries (2013-2018)
5.2 USA Data Wrangling Revenue and Growth Rate (2013-2018)
5.3 Canada Data Wrangling Revenue and Growth Rate (2013-2018)
5.4 Mexico Data Wrangling Revenue and Growth Rate (2013-2018)
6 Europe Data Wrangling Revenue by Countries
6.1 Europe Data Wrangling Revenue by Countries (2013-2018)
6.2 Germany Data Wrangling Revenue and Growth Rate (2013-2018)
6.3 UK Data Wrangling Revenue and Growth Rate (2013-2018)
6.4 France Data Wrangling Revenue and Growth Rate (2013-2018)
6.5 Russia Data Wrangling Revenue and Growth Rate (2013-2018)
6.6 Italy Data Wrangling Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Data Wrangling Revenue by Countries
7.1 Asia-Pacific Data Wrangling Revenue by Countries (2013-2018)
7.2 China Data Wrangling Revenue and Growth Rate (2013-2018)
7.3 Japan Data Wrangling Revenue and Growth Rate (2013-2018)
7.4 Korea Data Wrangling Revenue and Growth Rate (2013-2018)
7.5 India Data Wrangling Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Data Wrangling Revenue and Growth Rate (2013-2018)
8 South America Data Wrangling Revenue by Countries
8.1 South America Data Wrangling Revenue by Countries (2013-2018)
8.2 Brazil Data Wrangling Revenue and Growth Rate (2013-2018)
8.3 Argentina Data Wrangling Revenue and Growth Rate (2013-2018)
8.4 Colombia Data Wrangling Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Data Wrangling by Countries
9.1 Middle East and Africa Data Wrangling Revenue by Countries (2013-2018)
9.2 Saudi Arabia Data Wrangling Revenue and Growth Rate (2013-2018)
9.3 UAE Data Wrangling Revenue and Growth Rate (2013-2018)
9.4 Egypt Data Wrangling Revenue and Growth Rate (2013-2018)
9.5 Nigeria Data Wrangling Revenue and Growth Rate (2013-2018)
9.6 South Africa Data Wrangling Revenue and Growth Rate (2013-2018)
10 Global Data Wrangling Market Segment by Type
10.1 Global Data Wrangling Revenue and Market Share by Type (2013-2018)
10.2 Global Data Wrangling Market Forecast by Type (2018-2023)
10.3 On-premises Revenue Growth Rate (2013-2023)
10.4 Cloud Revenue Growth Rate (2013-2023)
11 Global Data Wrangling Market Segment by Application
11.1 Global Data Wrangling Revenue Market Share by Application (2013-2018)
11.2 Data Wrangling Market Forecast by Application (2018-2023)
11.3 BFSI Revenue Growth (2013-2018)
11.4 Telecom and IT Revenue Growth (2013-2018)
11.5 Retail and eCommerce Revenue Growth (2013-2018)
11.6 Healthcare and Life Sciences Revenue Growth (2013-2018)
11.7 Travel and Hospitality Revenue Growth (2013-2018)
11.8 Government Revenue Growth (2013-2018)
11.9 Manufacturing Revenue Growth (2013-2018)
11.10 Energy and Utilities Revenue Growth (2013-2018)
11.11 Transportation and Logistics Revenue Growth (2013-2018)
12 Global Data Wrangling Market Size Forecast (2018-2023)
12.1 Global Data Wrangling Market Size Forecast (2018-2023)
12.2 Global Data Wrangling Market Forecast by Regions (2018-2023)
12.3 North America Data Wrangling Revenue Market Forecast (2018-2023)
12.4 Europe Data Wrangling Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Data Wrangling Revenue Market Forecast (2018-2023)
12.6 South America Data Wrangling Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Data Wrangling Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Data Wrangling Picture
Table Product Specifications of Data Wrangling
Table Global Data Wrangling and Revenue (Million USD) Market Split by Product Type
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Global Outreach6 Major regions and 40+ countries level analysis accomplished
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