Global Data Wrangling Market Size, Top Key Players, Trends, Future Development & Forecast 2023-203
Global Data Wrangling
Market
The Global Data
Wrangling Market size was valued at USD 3.45 million in 2022 and is projected
to reach USD 7.58 million by 2032 at a CAGR of 21.5% from 2022 to 2032.
Data wrangling,
also known as data munging, is the process of cleaning and transforming raw
data into a usable form for analysis. It involves various steps such as data
cleaning, data transformation, and data integration to convert data from
multiple sources into a structured format. One of the driving factors for the
adoption of data wrangling is the exponential growth of data, which is making
it increasingly difficult for organizations to manage and analyze their data
using traditional methods. By automating the data wrangling process,
organizations can save time and resources while improving the quality of their
data.
Additionally,
the increasing demand for data-driven insights and the rise of machine learning
and artificial intelligence are also driving the adoption of data wrangling. By
cleaning and transforming data into a structured format, data wrangling helps
to create high-quality data sets that can be used for machine learning and
other advanced analytics applications. However, challenges to the adoption of
data wrangling include the lack of standardization in data formats and the
complexity of integrating data from multiple sources. Additionally, the need
for specialized skills and expertise in data wrangling can be a barrier for
some organizations.
Impact of
COVID-19 on the global Data Wrangling Market:
The COVID-19
pandemic has impacted the data wrangling market in several ways. With the
widespread adoption of remote work, the demand for cloud-based data wrangling
solutions has increased significantly. Many businesses have had to adapt to
remote work and rely on digital platforms for communication and collaboration,
which has created a higher need for efficient data management and processing.
On the other hand, the pandemic has also caused disruptions in the supply chain
and resulted in reduced IT budgets for some companies, which may have slowed
down the adoption of data wrangling solutions. Some industries, such as travel
and hospitality, have been severely impacted by the pandemic and may have cut
back on technology investments. Overall, the impact of the pandemic on the data
wrangling market has been mixed, with both positive and negative effects. The
long-term effects are yet to be seen as the world continues to navigate the
pandemic and its aftermath.
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Market Segmentation:
By Component
· Solution
· Service
By Deployment
Mode
· On-Premise
· Cloud
By Organization
Size
· Large Enterprises
· Small & Medium
Enterprises
Key Player:
· Alteryx, Inc.
· Hitachi Vantara Corporation
· International Business Machines Corporation
· Impetus Technologies, Inc.
· Oracle Corporation
· Paxata, Inc.
· SAS Institute Inc.
· TIBCO Software Inc.
· Teradata Corporation
· Trifacta
Regional Analysis:
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and
Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India,
Southeast Asia, Australia, and Rest of Asia-Pacific)
South America (Brazil, Argentina, Rest of South
America)
Middle East & Africa (Turkey, Saudi Arabia,
UAE, Rest of Middle East & Africa)
Key Points:
• The analysis provides an overview of the factors driving and limiting
the growth of the market including trends, structure and others.
• Market estimation for type and geographic
segments is derived from the current market scenario and expected market
trends.
• Porter’s Five Force Model and SWOT analysis
are used to study the global Data Wrangling market and would help stakeholders
make strategic decisions.
• The analysis assists in understanding the
strategies adopted by the companies for the growth of this market.
• In-depth analysis of the types of Data
Wrangling would help in identifying future applications in this market.
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Detail Information:
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