Global Data Wrangling Market - Industry Analysis Size Share Growth Trends and Forecast 2024 - 2031

Global Data Wrangling Market - Industry Analysis Size Share Growth Trends and Forecast 2024 - 2031

  • ID :
    SAC5536568
  • Published Date :
    Dec 2024
  • Number of Pages :
    300+

Year Considered

2019 to 2022: Historic Years

2023: Base Year

2024: Estimated Year

2025 to 2031: Projected Years

Product Description

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. The Data Wrangling market revenue was xx Million USD in 2019, grew to xx Million USD in 2023, and will reach xx Million USD in 2031, with a CAGR of xx during 2024-2031. Considering the influence of COVID-19 on the global Data Wrangling market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions. This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery. Under COVID-19 Outbreak, how the Data Wrangling Industry will develop is also analyzed in detail in Chapter 1.8 of this report. Major Players in Data Wrangling market are: Informatica Hitachi Vantara Rapid Insight Zaloni Trifacta Dataiku Cooladata Datameer Impetus Ideata Analytics Oracle TMMData Onedot Teradata Datawatch SAS Infogix Brillio IBM Unifi Software Alteryx IRI Paxata Talend TIBCO Software Most important types of Data Wrangling products covered in this report are: On-premises Cloud Most widely used downstream fields of Data Wrangling market covered in this report are: BFSI Telecom and IT Retail and eCommerce Healthcare and Life Sciences Travel and Hospitality Government Manufacturing Energy and Utilities Transportation and Logistics Major Regions or countries covered in this report: North America Europe China Japan Middle East and Africa South America India South Korea Southeast Asia Others In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations. In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out. In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.

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