The Infinium Global Research analyzes the Data Wrangling Market over the period of 2020 to 2026. This report also provides detailed qualitative and quantitative analyses of the market dynamics, market size and future trends in global data wrangling market. It will help a lot of decision makers to develop strategies and find new opportunities in the global markets of data wrangling. The report covers market changing aspects including drivers, restraints, opportunities, and trends expected to encouragement the expansion of the data wrangling market during the period.
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Increasing Regulatory Pressure and Growth in Edge Computing are Offering Lucrative Market Opportunities for the Players in the Forecast Years
The major factors that are responsible for the growth of the data wrangling market are increasing pace and volume of data and advancements in machine learning and AI technologies. Data wrangling has augmented the scope for business and helps them to work more proficiently. However, one of the major factors restraining market growth is reluctance in shifting from traditional tools to automated tools. In addition, low awareness regarding data wrangling tools in SMEs, and focus on maintaining data quality is projected to restrain the market growth in the projection period. Moreover, increasing regulatory pressure and growth in edge computing are offering lucrative market opportunities for the players in the forecast years.
Additionally, the current concern over the spread of coronavirus is also expected to have a positive impact on the data wrangling market. Data consumption is estimated to witness a significant increase as a direct consequence of lockdowns enforced in several countries to combat the spread of the deadly coronavirus. During these times, AI and big data have emerged as an essential tool for everything from diagnosis and epidemiology to therapeutic and vaccine development. This will also propel the demand for data wrangling solutions as it allows organization to swiftly transform data sets and perform data analysis that can be used to improve decision making in businesses.
North America Region is Expected to Hold the Largest Share in the Global Data Wrangling Market
Among the geographies, the North America region is expected to hold the largest share in the global data wrangling market owing to the rising adoption of data wrangling services. Furthermore, the rising amount of data that is being collected every day has increased the demand for data wrangling at a large scale in the North American region. Moreover, the Asia Pacific region is expected to witness significant growth over the forecast period during the forecast period owing to rapid industrialization and urbanization. The increasing data collection in countries like China and India is projected to drive the data wrangling market in the region over the forecast period.
Data Wrangling Market: Segmentation
The report on the global data wrangling market covers segments such as component, deployment mode, enterprise size, and end-user industry. On the basis of components, the sub-markets include tools. On the basis of deployment mode, the sub-markets include cloud-based. On the basis of enterprise size, the sub-markets include large enterprises. On the basis of the end-user industry, the sub-markets include IT and telecommunication, government, BFSI, healthcare, and others.
Data Wrangling Market: Competitive Analysis
The report provides profiles of the companies in the market such as SAS Institute, Oracle Corporation, IBM Corporation, Dataiku, Datawatch, Alteryx, Talend, TIBCO Software, and Informatica.
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