Because so many enterprise apps are producing structured and unstructured data, it has become increasingly difficult to turn data into insights. Enterprises are increasingly in need of advanced analytics algorithms to extract insights from a sizable amount of generated data due to the rapid growth in data volumes across industrial verticals.
Businesses are implementing analytical tools to spot data patterns, pinpoint problems with inconsistent data, and evaluate the data. Tools for data wrangling help businesses organise, clean, and enrich their data. Businesses will be able to control their systems more thoroughly thanks to these technologies.
Due to higher adoption of edge analytics, data wrangling tools are widely used by verticals such as BFSI, retail & e-commerce, automotive and many others. These tools would enable enterprises to filter out unwanted data and structure them and would be efficiently used by artificial intelligence and machine learning algorithms to analyze and provide data insights.
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Data wrangling processes include discovering of data features, structuring, cleaning, enriching, validating, enriching and publishing of data. Through this data wrangling process, an extensive variety of data sources are used in different statistics, analytics and data visualization applications.
This process expands the usage of data in the organization and enriches the potential value of data to the business
Data Wrangling Market: Dynamics
The prominence of big data across industry verticals and the integration of artificial intelligence and machine learning technologies with data wrangling tools is expected to fuel the growth of data wrangling market.
Unwillingness to shift from traditional ETL tools to advanced automated tools is expected to hamper the growth of the data wrangling market. Lack of awareness of data wrangling tools among small & medium enterprises is also the major challenge for the growth of this market
Increasing regulations & growth of edge computing is creating growth opportunities for data wrangling market
Global Data Wrangling Market: Competition Landscape
Examples of some of the key players in the global Data Wrangling market are Informatica, Oracle Corporation, Teradata, Impetus, Talend, Datawatch, IBM Corporation, Brillio, SAS Institute, Hitachi Vanatara, Infogix, TIBCO, Rapid Insight, Trifacta, etc.
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Data Wrangling Market: Regional Outlook
The data wrangling market is dominated by North America followed by the Asia Pacific and Western Europe. The market in North America is expected to witness higher market share due to the presence of prominent players and broad adoption of data wrangling tools and services. APAC is expected to grow at a significant rate in the global data wrangling market during the forecast period. Major APAC countries, such as Australia and New Zealand, China, Japan, and Singapore are observing higher growth in big data and analytics startups. With a growing number of smart cities and increase in IoT devices, the region is expected to witness massive growth in the upcoming years.
Global Data Wrangling Market: Segmentation
By Business Function
- Finance
- Sales & Marketing
- Operations
- HR
- Legal
By Component
- Tools
- Services
By Deployment Model
- On-Premises
- Cloud
By Industry Vertical
- Retail
- BFSI
- Government
- Hospitality
- Healthcare
- Energy & Utilities
- Automotive
- Telecommunications & IT
- Others
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About Future Market Insights, Inc.
Future Market Insights, Inc. is an ESOMAR-certified business consulting & market research firm, a member of the Greater New York Chamber of Commerce and is headquartered in Delaware, USA. A recipient of Clutch Leaders Award 2022 on account of high client score (4.9/5), we have been collaborating with global enterprises in their business transformation journey and helping them deliver on their business ambitions. 80% of the largest Forbes 1000 enterprises are our clients. We serve global clients across all leading & niche market segments across all major industries.
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