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Latest News On Mobile and Web Event Analytics Market Global Research Report 2016

Tuesday, October 18, 2016 1:28
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Global Mobile and Web Event Analytics Market 2016-2020 report is the latest addition to RnRMarketResearch.com industry research reports collection

Mobile analytics analyzes the traffic for mobile websites. It helps to determine the effectiveness of mobile marketing campaigns for the business and study the aspects that increase the traffic for the mobile websites. The report covers the present scenario and the growth prospects of the global mobile and web analytics market 2016-2020. To calculate the market size, the report considers the revenue generated from the sales of mobile and web analytics solutions to calculate the market size.

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The analysts forecast global mobile and web analytics market to grow at a CAGR of 16.3% during the period 2016-2020. The following companies are the key players in the global mobile and web event analytics market: Adobe Systems, AT Internet, comScore, Google, IBM, SAS Institute, and Webtrends. Other Prominent Vendors in the market are: Clicktale, Clicky, KickFire, Kissmetrics, Woopra, Crazy Egg, Chartbeat, Omniture, Apsalar, Char Software, Mixpanel, Appsee, netbiscuits, Segment.io, and Upsight.

Commenting on the mobile and web analytics market report, an analyst said: “A key trend which is boosting market growth is growing demand for predictive analytics. Predictive analytics provides actionable insights into data of an organization. Predictive analytics uses various techniques such as data mining, modeling, machine learning, and game theory to provide an estimation of future outcomes. Predictive analytics is used in all major industries such as retail, healthcare, manufacturing, IT, BFSI, and education.

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According to the report, a key growth driver is the increased benefits of mobile and web anbalytics. rapid industrialization in China. The integration of mobile and web analytics tools with IT systems of an organization helps in interpersonal and intrapersonal communications with people and other IT systems. It also aids in recovering previous data stored in the system to arrive at a conclusion if need be, for instance, a mobile and web analytics solution such as IBM Digital Analytics can read millions of text documents in few seconds.

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