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Technavio’s market research analysts predict the global in-memory OLAP database market to grow steadily during the next four years and post an impressive CAGR of almost 25% by 2020. According to this industry research report, the increased adoption of this technology by small- and medium -sized enterprises will be one of the major factors that will have a positive impact on the growth of the OLAP database market in the coming years. Due to benefits such as faster processing and lesser operating costs, the recent years have witnessed an increased adoption of in-memory databases by SMEs. SMEs generally have a large amount of social media analytics information that has to be analyzed for their business needs. While it takes almost a minute to process and update the database at the backend of a mobile app, in-memory technology can assist in completing the same in just a few seconds. This will be highly beneficial to sales employees who always have the need to update their data from different locations.
One of the major trends that will gain traction in the OLAP analysis market is the parallel processing of columnar database. Column storage of data reduces the amount of data to be loaded from the storage, which in turn, reduces the disk storage space. Since operations are performed simultaneously in parallel processing, storing data in columns results in faster processing. For instance, to know the average sales of a product in three markets, it is easy to look for the column where the sales data is stored and retrieve just the data that is needed instead of searching the sales record row by row.
Characterized by the presence of a considerable number of vendors, the global in-memory OLAP database market is moderately fragmented. The market is currently dominated by established players who acquire major market shares. Smaller players are currently gaining traction in the market and are trying to differentiate themselves from other vendors on the basis of several factors such as product pricing, training, support for the software license, features, customer service, and flexibility. Since all vendors equally compete to sustain the competition by improving their delivery models, the competition in the market is quite intense. The coming years will also witness a number of M&As where major players will acquire regional or small players to expand their global reach and acquire advanced technologies. One of the key vendors Microsoft, has already announced the acquisition of Volometrix, a company that provides analytics software to create data visualizations and dashboards by combining data from collaborative platforms.
The leading vendors in the market are -
The other prominent vendors in the market are Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, and VoltDB.
Due to the increase in the sales volume of retail e-commerce across the globe, the retail sector accounted for the major market shares during 2015. A rise in the number of e-commerce retailers in the developing countries such as India, has resulted in the involvement of an enormous amount of data. OLAP online analytical processing helps in extracting and processing this data in real-time for obtaining various information that helps businesses have a competitive edge over their competitors and achieve increased sales.
This market study estimates that in terms of geographical regions, the Americas was the major revenue contributors to the market during 2015 and will also dominate the market throughout the forecast period. The presence of prominent companies such as eBay, Amazon, Yahoo, and Google in the developed economies such as the US and Canada in North America and the implementation of this technology in the IT and telecom sector by emerging countries like Brazil, Mexico, Chile, and Argentina, will propel the market’s growth prospects.
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PART 01: Executive summary
PART 02: Scope of the report
PART 03: Market research methodology
PART 04: Introduction
PART 05: Market landscape
PART 06: Market segmentation by application
PART 07: Geographical segmentation
PART 08: Market drivers
PART 09: Impact of drivers
PART 10: Market challenges
PART 11: Impact of drivers and challenges
PART 12: Market trends
PART 13: Five forces model
PART 14: Vendor landscape
PART 15: Vendor matrix
PART 16: Key vendor analysis
PART 17: Appendix
PART 18: Explore Technavio
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