Global In-memory OLAP Database Market 2016-2020

  • Published: Oct 2016
  • Pages: 63
  • SKU: IRTNTR10575

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This market research report analyzes the key players in the global in-memory OLAP database market such as Altibase, IBM, Microsoft, Oracle, and SAP SE. The report also presents a competitive analysis of the market by application (retail, BFSI, healthcare, IT & telecom, government, and others) and by geography (the Americas, APAC, Europe, and MEA).

Global outlook of the in-memory OLAP database market

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.

Competitive landscape and key vendors

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 -

  • Altibase
  • IBM
  • Microsoft
  • Oracle
  • SAP SE

The other prominent vendors in the market are Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, and VoltDB.

Segmentation by application and analysis of the in-memory OLAP database market

  • Retail
  • BFSI
  • Healthcare
  • IT & telecom
  • Government

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.

Geographical segmentation and analysis of the in-memory OLAP database market

  • Americas
  • APAC
  • Europe
  • MEA

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.

Key questions answered in the report include

  • What will the market size and the growth rate be in 2020?
  • What are the key factors driving the global in-memory OLAP database market?
  • What are the key market trends impacting the growth of the global in-memory OLAP database market?
  • What are the challenges to market growth?
  • Who are the key vendors in the global in-memory OLAP database market?
  • What are the market opportunities and threats faced by the vendors in the global in-memory OLAP database market?
  • Trending factors influencing the market shares of the Americas, APAC, Europe, and MEA.
  • What are the key outcomes of the five forces analysis of the global in-memory OLAP database market?

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Table of Contents

PART 01: Executive summary

  • Highlights

PART 02: Scope of the report

  • Market overview

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights

PART 05: Market landscape

  • Market description
  • Market size and forecast

PART 06: Market segmentation by application

  • Segmentation of global in-memory OLAP database by end-users 2015-2020
  • Global in-memory OLAP database market in retail sector
  • Global in-memory OLAP database market in BFSI sector
  • Global in-memory OLAP database market in healthcare sector
  • Global in-memory OLAP database market in IT and telecom sector
  • Global in-memory OLAP database market in government sector

PART 07: Geographical segmentation

  • Geographical segmentation of global in-memory OLAP database 2015-2020
  • In-memory OLAP database market in Americas
  • In-memory OLAP database market in Europe
  • In-memory OLAP database market in APAC
  • In-memory OLAP database market in MEA

PART 08: Market drivers

  • Increased adoption among SMEs
  • Efficient and faster analytics
  • Continuous decline in RAM prices

PART 09: Impact of drivers

PART 10: Market challenges

  • Security threats from data breach
  • Hardware specification requirements
  • Threat from loss of data

PART 11: Impact of drivers and challenges

PART 12: Market trends

  • Real-time analysis of data
  • Increasing demand for memory devices
  • Parallel processing of columnar database

PART 13: Five forces model

PART 14: Vendor landscape

  • Competitive landscape
  • Top vendor offerings

PART 15: Vendor matrix

  • Vendor analysis
  • Vendor matrix

PART 16: Key vendor analysis

  • Vendor profiles
  • Other prominent vendors

PART 17: Appendix

  • List of abbreviations

PART 18: Explore Technavio

Research Framework

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.


Primary sources

  • Manufacturers and suppliers
  • Channel partners
  • Industry experts
  • Strategic decision makers

Secondary sources

  • Industry journals and periodicals
  • Government data
  • Financial reports of key industry players
  • Historical data
  • Press releases


Data Synthesis

  • Collation of data
  • Estimation of key figures
  • Analysis of derived insights

Data Validation

  • Triangulation with data models
  • Reference against proprietary databases
  • Corroboration with industry experts



  • Market drivers
  • Market challenges
  • Market trends
  • Five forces analysis


  • Market size and forecast
  • Market segmentation
  • Geographical insights
  • Competitive landscape
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