DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/xd4pbt/global_advanced) has announced the addition of the "Global Advanced Analytics Market 2012-2016" report to their offering.
The analysts forecast the Global Advanced Analytics market to grow at a CAGR of 13.62 percent over the period 2012-2016. One of the key factors contributing to this market growth is the growth of predictive analytics. The Global Advanced Analytics market has also been witnessing the emergence of advanced analytics in social gaming. However, the lack of expertise could pose a challenge to the growth of this market.
Key vendors dominating this space include SAS Institute Inc., IBM Corp., Microsoft Corp., and KXEN Inc.
Other vendors mentioned in the report are: TIBCO Software Inc., Oracle Corp., SAP AG, Teradata Corp., Information Builders Inc., and MicroStrategy Inc.
Commenting on the report, an analyst from the Enterprise Computing team said: "Advanced gaming analytics helps social gaming companies improve their understanding of game-related data and use this understanding to gain insights into consumer behavior. These insights also help companies deal with a varied range of areas that have significant potential to enhance gaming success. They also provide companies with a better understanding about why users leave a certain game, and help them find other players that are likely to abandon the game. Using these insights, gaming companies can develop retention strategies before players leave their game, and this in turn optimizes ad-generated interaction and in-game virtual goods sales. Also, the identification of viral users that spread a game's user base can help companies effectively market their offerings on social media platforms to ensure the continuation of desired behavior. Therefore, the emergence of advanced analytics in social gaming is one of the major trends in the Global Advanced Analytics market."
According to the report, predictive analytics is one of the major trends in the market. It exploits history of enterprise data to identify current risks and future opportunities in the business. This helps enterprises assess their business condition and make informed decisions.
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