The global data wrangling market is significantly influenced by the widespread adoption of data wrangling tools for performing edge analytics. The growing adoption of AI, edge computing, increasing volume and velocity of data, advancement in the IoT along with increasing regulatory reforms are the major factors that are driving the growth of the global data wrangling industry. Besides, growing smart cities projects across the globe is one of the other major factors contributing to the growth of the market. Rapidly growing data volume across the various industrial verticals is generating demand for advanced analytics algorithms by enterprises to take insights from a significant amount of generated data.
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Due to a large scale adoption edge analytics, data wrangling tools are extensively used by verticals such as automotive, BFSI, retail and e-commerce, and many others. Businesses are adopting analytical solutions for recognition of the data pattern, identification of the issues related to the inconsistent data, and to analyze the data. This tool enables the enterprises to have more comprehensive control over their system. Data wrangling procedure allows an enterprise to filter out unwanted data and transform it into structured data to be used by AI and ML algorithms for analyzing and providing data insights. This procedure enlarges the data usage in the organization and enriches the potential value of data to the business.
North America is expected to dominate the global data wrangling market owing to the rising adoption of data wrangling tools and services. In North America, Canada is expected to provide significant growth to the market. In North America, an increasing volume of data that is collected every day has increased the demand for data wrangling tools and services. Besides, the presence of developed economies in the region is another factor that is driving the growth of this market. Moreover, the growth of the market in the region is attributed to the presence of major players such as IBM, Hitachi Vantra, Oracle, and Trifacta.
Moreover, the global data wrangling market growth is accelerated by market activities such as mergers & acquisitions, collaboration & partnerships that are adopted by the major companies of the market. IBM, Oracle, SAS Institute, Dataiku, Trifacta, DataWatch Corp., and others are the major manufacturers of the market. IBM, an IT pioneer has the strategy of launching new products for meeting the demand for structured information for enterprises. The company has entered into several strategic agreements and partnerships for making improvements in its product and service offerings to increase its customer base. For instance, in May 2018, IBM has acquired Armanta, INC., a software firm that provides analytics software for financial services firms to get insight into the financial sector.
Current Market Trends Covered in the market report:
• Previously Excel and SQL were used for the data wrangling purpose.
• In present times CSVKit, DataWrangler, Mr. Data Converter, Openrefine, Python and Pandas, and Trifacta wrangler are used for data wrangling
• Partnerships & collaborations and new product launch- key drivers of competition in this market.
• Asia-Pacific to Emerge as a Fastest-Growing Data Wrangling Market.
• Increasing regulatory pressure and growth in edge computing- a significant opportunity for market players.
Data Wrangling Market Segmentation
By Deployment Type
• On-Premises
• Cloud-Based
By End-Use
• BFSI
• Consumer & Retail industry
• IT & Telecommunication
• Healthcare
• Others
Data Wrangling Market – Segment by Region
North America
• The US
• Canada
Europe
• Germany
• UK
• France
• Spain
• Italy
• Rest of Europe
Asia-Pacific
• China
• Japan
• India
• Rest of Asia-Pacific
Rest of the World
• Middle East & Africa
• Latin America
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