Press release
Data Wrangling Market is projected to reach USD 4.99 Billion by 2026, growing at a CAGR of 18.91% from 2019 to 2026
According to Verified Market Research, the global data wrangling market was valued at USD 1.24 Billion in 2018 and is projected to reach USD 4.99 Billion by 2026, growing at a CAGR of 18.91% from 2019 to 2026
What is Data Wrangling?
Data wrangling is processing the raw or primary data and mapping it into a structural and appropriate format to make it more valuable. It has several potential uses such as data visualization, data aggregation & training a statistical model and others. It is necessary to analyze the data as data is available on a large scale and in raw format; and there are also many data sources.
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Global Data Wrangling Market Outlook
In the report, the market outlook section mainly encompasses fundamental dynamics of the market which include drivers, restraints, opportunities and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
Data wrangling gives extensive solutions to the problems, analyses data in effective and efficient manner, thus the demand of data wrangling is increased on large scale in international market. Data wrangling analyses the performance of the equipment and efficiently gives results without any involvement of data scientists or IT personnel. Whereas automated tools are being used instead of extract, transform and load (ETL) process tools. However, lack of awareness regarding data wrangling tools in SMEs and shifting from traditional ETL tools to automated tools are the major factor curtailing the market growth.
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Verified Market Research narrows down the available data using primary sources to validate the data and use it in compiling a full-fledged market research study. The report contains a quantitative and qualitative estimation of market elements which interests the client. The “Global Data Wrangling Market” is mainly bifurcated into sub-segments which can provide a classified data regarding latest trends in the market.
Global Data Wrangling Market Competitive Landscape
The “Global Data Wrangling Market” study report will provide a valuable insight with an emphasis on global market including some of the major players such as IBM, Oracle, SAS Institute, Trifacta, Datawatch, Talend, Alteryx, Dataiku, TIBCO Software and Paxata. Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.
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