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Global Data Wrangling Market valued approximately USD 930 million in 2016 is anticipated to grow with a healthy growth rate of more than 20.04% over the forecast period 20172025. Some of the factors that are fueling the market growth are; increasing data volume across industry, emergence of advanced analytics algorithms and demand to gain substantial insights and proliferation of data.
The objective of the study is to define market sizes of different segments countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and subsegment of the market are explained below:
By Business Function:
o Professional Services
o Managed Services
By Industry Vertical:
Banking, Financial Services, Insurance
Government Public Sector
Healthcare Life Sciences
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year 2015
Base year 2016
Forecast period 2017 to 2025
Some of the key manufacturers involved in the market are IBM, Oracle, SAS Institute, Trifacta, Datawatch. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.
Target Audience of the Global Data Wrangling Market in Market Study:
Key Consulting Companies Advisors
Large, mediumsized, and small enterprises
ValueAdded Resellers VARs
Thirdparty knowledge providers
Original Article: Global Data Wrangling Market Size Study, by Business Function Finance, Marketing Sales, Operation, Human Resources, Legal by Component Tools, Services by Industry Vertical Retail ECommerce, Travel Hospitability, Energy Utilities, Telecommunication ITNEXT ARTICLE
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