Data Wrangling Market Study 2018 with Research Analysis of Players Like Hitachi Vantara, Teradata, Datameer, Cooladata, Unifi, Rapid Insight, Infogix, Zaloni, Impetus, Trifacta, Datawatch, Dataiku and More

Global Data Wrangling Market Statistical Overview Report 2018 gives an outstanding tool for market Survey, openings, and vital key and strategic basic leadership. This report perceives that in this quickly advancing and competitive scenario by up-coming data on the basis of research execution and settled on basic choices for development and benefit. It gives data on Latest trends and advancements and sheds light on various sectors, limitations and advancements, and on the evolving structure of the market.

The report describes by size, industry status, scope and demand forecast, competition landscape and growth opportunity. This research report categorizes the Global Data Wrangling Market by companies, region, type and end-use industry.

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The global data wrangling market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of data wrangling market for global, Europe, North America, Asia Pacific and South America.

The renowned players in the market are -

Trifacta,
Datawatch,
Dataiku,
IBM,
SAS Institute,
Oracle,
Talend,
Alteryx,
TIBCO,
Paxata,
Informatica,
Hitachi Vantara,
Teradata,
Datameer,
Cooladata,
Unifi,
Rapid Insight,
Infogix,
Zaloni,
Impetus,
Ideata Analytics,
Onedot,
IRI,
Brillio,
TMMData
Among others.

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Global Data Wrangling Market accounted for USD 3.21 billion in 2017 and is projected to grow at a CAGR of 20.1% the forecast period of 2018 to 2025. The upcoming market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.

Market Segmentation: Global Data Wrangling Market

The global data wrangling market is based on business function, component, deployment model, vertical, organization size and geographical segments.

Based on business function, the market is segmented into marketing and sales, finance, operations, HR and legal.

Based on component, the market is segmented into tools and services.

Based on deployment model, the market is segmented into On-premises and Cloud.

Based on organization size, the market is segmented into large enterprises and small and medium-sized enterprises (SMES).

Based on vertical, the market is segmented into BFSI, telecom and it, retail and ecommerce, healthcare and life sciences, travel and hospitality, government, manufacturing, energy and utilities, transportation and logistics and others (media and entertainment, education and research, and real estate).

Based on geography the market report covers data points for 28 countries across multiple geographies such as

North America
South America
Europe
Asia-Pacific
Middle East & Africa

Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

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Reason to Buy

- Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the Global Data Wrangling Market.

- Highlights key business priorities in order to assist companies to realign their business strategies.

- The key findings and recommendations highlight crucial progressive industry trends in the Global Data Wrangling Market, thereby allowing players to develop effective long term strategies.

- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.

- Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.

- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

Market Drivers and Restraints:

• Growth of edge computing
• Growing adoption of artificial intelligence.
• Increasing volume and velocity of data.
• Increasing Regulatory Pressure.
• Reluctance to shift from traditional ETL tools to advance automated tools.

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