Press release
Data Wrangling Market to Witness Massive Growth by 2025 | Leading Key Players Trifacta, Datawatch, Dataiku, IBM, SAS Institute, Oracle, Talend, Alteryx
Data Wrangling Market
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Data wrangling, also known as data munging is the way towards changing and mapping information from raw data shape into another configuration with the goal of influencing it more suitable and significant for an assortment of downstream purposes, for example, analytics. A data wrangler is a person who plays out these change activities. This may incorporate further munging, data visualization, data aggregation, training a statistical model, as well as many other potential uses. Data munging as a procedure ordinarily takes after an arrangement of general advances which start with extricating the information in a crude frame from the information source, “munging” the crude information utilizing calculations (e.g. arranging) or parsing the information into predefined information structures, lastly saving the subsequent substance into an information sink for capacity and future utilize.
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Top Key Vendors:
The renowned players in the market are Trifacta, Datawatch, Dataiku, IBM, SAS Institute, Oracle, Talend, Alteryx, TIBCO, Paxata, Informatica, Hitachi Vantara, Teradata, Datameer, Cooladata, Unifi, Rapid Insight, Infogix, Zaloni, Impetus, Ideata Analytics, Onedot, IRI, Brillio, TMMData among others.
Regional Analysis:
the Global Data Wrangling Market report covers data points for 28 countries across multiple geographies such as,
North America
South America
Europe
Asia-Pacific
Middle East & Africa
Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.
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Market Segmentation by:
• Based on business function, the market is segmented into marketing and sales, finance, operations, HR and legal.
• Based on component, the market is segmented into tools and services.
• Based on deployment model, the market is segmented into On-premises and Cloud.
• Based on organization size, the market is segmented into large enterprises and small and medium-sized enterprises (SMES).
• Based on vertical, the market is segmented into BFSI, telecom and it, retail and ecommerce, healthcare and life sciences, travel and hospitality, government, manufacturing, energy and utilities, transportation and logistics and others (media and entertainment, education and research, and real estate).
The global data wrangling market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of data wrangling market for global, Europe, North America, Asia Pacific and South America.
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Global Data Wrangling Market Analysis by 2020-2025
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The global Data Wrangling market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 10.7%% in the forecast period of 2020 to 2025 and will expected to reach USD 1879.8 million by 2025, from USD 1252.2 million in 2019.
Market segmentation
Data Wrangling market is split by Type and by Application. For the period 2015-2025, the growth among segments…
Data Wrangling Market Growth, Trends, Industry Analysis and Forecast - 2025
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.
In 2017, the global Data Wrangling market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a…
Data wrangling Market Trends, Size, Forecast - 2019-2025
Data wrangling market is expected to grow at a Considerable rate during the forecast period 2019-2025. Data wrangling generally referred to as the method of mapping and transforming data from raw form to another data format. Data wrangling mainly used for the appropriate and valuable data preparation and analytics and sometimes it is called data munging. The global data wrangling market influenced by the increasingly large amount of data in…
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