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.
This report elaborates the market size, market characteristics, and market growth of the Data Wrangling industry, and breaks down according to the type, application, and consumption area of Data Wrangling. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.

In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Data Wrangling in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19.
In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy.

Key players in the global Data Wrangling market covered in Chapter 13:
Datameer
Cooladata
Talend
Paxata
TIBCO Software
Dataiku
Informatica
Hitachi Vantara
Infogix
Impetus
Trifacta
Brillio
Teradata
Alteryx
TMMData
Onedot
Ideata Analytics
Oracle
IRI
SAS
IBM
Unifi Software
Rapid Insight
Zaloni
Datawatch

In Chapter 6, on the basis of types, the Data Wrangling market from 2015 to 2025 is primarily split into:
On-premises
Cloud

In Chapter 7, on the basis of applications, the Data Wrangling market from 2015 to 2025 covers:
BFSI
Telecom and IT
Retail and eCommerce
Healthcare and Life Sciences
Travel and Hospitality
Government
Manufacturing
Energy and Utilities
Transportation and Logistics

Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5:
United States
Europe
China
Japan
India

Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12:
North America (Covered in Chapter 8)
United States
Canada
Mexico
Europe (Covered in Chapter 9)
Germany
UK
France
Italy
Spain
Others
Asia-Pacific (Covered in Chapter 10)
China
Japan
India
South Korea
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 11)
Saudi Arabia
UAE
South Africa
Others
South America (Covered in Chapter 12)
Brazil
Others

Years considered for this report:
Historical Years: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2025