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Global In-memory OLAP Database Market 2016-2020

Global In-memory OLAP Database Market 2016-2020

About In-Memory Database

The in-memory database is one of the subcomponents of IMDM, the other subcomponent being in-memory data grid (IMDG). IMDM and in-memory application platform (IMAP) are the components of in-memory computing (IMC), which form the base of this technology. The primary purpose of in-memory processing technology is to enable real-time analyses and allow organizations to store data in RAM rather than in traditional disk storages, which reduces their operational costs.

Technavio’s analysts forecast the global in-memory OLAP database market to grow at a CAGR of 24.95% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global in-memory OLAP database market for 2016-2020. To calculate the market size, the report considers the market value of in-memory computing in 2015.

The market is divided into the following segments based on geography:

  • Americas
  • APAC
  • Europe
  • MEA
Technavio's report, Global In-Memory OLAP Database Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
  • Altibase
  • IBM
  • Microsoft
  • Oracle
  • SAP SE
Other prominent vendors
  • Exasol
  • Jedox AG
  • Kognitio
  • Mcobject
  • MemSQL
  • MicroStrategy
  • SAS Institute
  • Teradata
  • Terracotta
  • VoltDB
Market driver
  • Increased adoption among SMEs
  • For a full, detailed list, view our report
Market challenge
  • Hardware specification requirements
  • For a full, detailed list, view our report
Market trend
  • Parallel processing of columnar database
  • For a full, detailed list, view our report
Key questions answered in this report
  • What will the market size be in 2020 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?


Press Release

Technavio Announces the Publication of its Research Report – Global In-Memory OLAP Database Market 2016-2020

Technavio recognizes the following companies as the key players in the global in-memory OLAP database market: Altibase, IBM, Microsoft, Oracle, and SAP SE.

Other Prominent Vendors in the market are: Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, and VoltDB.

Commenting on the report, an analyst from Technavio’s team said: “Increasing demand for memory devices will be a key trend for market growth. The availability of in-memory processing with the help of online analytical processing (OLAP) tool at a lower price when compared with other BI tools, has increased the demand for this technology. As it can be easily deployed and maintained, the adoption of in-memory technology has progressed over traditional BI among data warehouse vendors. With the demand for the in-memory database, new providers of this technology are entering the market with features that can have an advantage over their competitors. For example, after SAP and Oracle, IBM and Microsoft have built in-memory technology into DB2 and SQL Server. With organizations preferring to store a large amount of data in the memory for faster computing, the demand for in-memory databases have increased.”

According to the report, efficient and faster analytics will be a key driver for market growth. In an in-memory technology, data is stored in columns using online analytical processing (OLAP), whereas the data is stored in rows in traditional online transaction processing (OLTP) databases. The OLAP approach includes features like compression, faster manipulation of large datasets, and advanced analytics. For instance, if a hospital wants to analyze the data from all the patients suffering from a particular disease and the success rate of treatments, OLAP technology is helpful as it supports historical data. The in-memory technology eliminates the need for organizing and filing the data in a way a user intends to process it. OLAP technology also removes the need for processes such as ETL (extract, transform, load). This ensures that data can be accessed and used faster as all the inactivity has been removed, and adding new data to the existing data is also greatly simplified.

Further, the report states that in-memory databases store an enormous amount of data in RAM. This could lead to the availability of a higher amount of RAM to handle a vast amount of data. Computers or servers with in-memory databases need to function on a 64-bit processor to use the larger memory requirement, and then the computer or server needs to be equipped with enough RAM to store the data for process queries. The increase in the number of transactions creates a high amount of data, which, in turn, creates the need for more storage memory. For example, if an organization has 1 TB of data to be stored in the database on two different physical machines, it means the database size needs to be 2 TB (1 TB of data x 2 copies of data), which requires the purchase of external storage devices. This can be a real challenge for SMEs when compared with large or medium enterprises due to the investment required for purchasing more storage memory.

Companies Mentioned

Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox AG, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB.

  • Executive summary
    • Highlights
  • Scope of the report
    • Market overview
      • Table Major countries covered
  • Market research methodology
    • Research methodology
    • Economic indicators
  • Introduction
    • Key market highlights
      • Table Segmentation of in-memory computing
  • Market landscape
    • Market description
      • Table Global in-memory OLAP database market
    • Market size and forecast
      • Table Global in-memory OLAP database 2015-2020 ($ billions)
  • Market segmentation by application
    • Segmentation of global in-memory OLAP database by endusers 2015-2020
      • Table Global in-memory OLAP database market by end-user 2015 (%share)
      • Table Segmentation of global in-memory OLAP database market by end-user 2015-2020
    • Global in-memory OLAP database market in retail sector
      • Table Global in-memory OLAP database market in retail sector 2015-2020 ($ billions)
    • Global in-memory OLAP database market in BFSI sector
      • Table Global in-memory OLAP database market in BFSI sector 2015-2020 ($ billions)
    • Global in-memory OLAP database market in healthcare sector
      • Table Global in-memory OLAP database market in healthcare sector 2015-2020 ($ billions)
    • Global in-memory OLAP database market in IT and telecom sector
      • Table Global in-memory OLAP database market in IT and telecom sector 2015-2020 ($ billions)
    • Global in-memory OLAP database market in government sector
      • Table Global in-memory OLAP database market in government sector 2015-2020 ($ billions)
      • Table Global in-memory OLAP database market in others 2015-2020 ($ billions)
  • Geographical segmentation
    • Geographical segmentation of global in-memory OLAP database 2015-2020
      • Table Global in-memory OLAP database market by geography 2015-2020 (% share)
    • In-memory OLAP database market in Americas
      • Table In-memory OLAP database market in Americas 2015-2020 ($ billions)
    • In-memory OLAP database market in Europe
      • Table In-memory OLAP database market in Europe 2015-2020 ($ billions)
    • In-memory OLAP database market in APAC
      • Table In-memory OLAP database market in APAC 2015-2020 ($ billions)
    • In-memory OLAP database market in MEA
      • Table In-memory OLAP database market in MEA 2015-2020 ($ billions)
  • Market drivers
    • Increased adoption among SMEs
    • Efficient and faster analytics
    • Continuous decline in RAM prices
      • Table Variation in the price of RAM ($)
  • Impact of drivers
    • Table Impact of drivers
  • Market challenges
    • Security threats from data breach
      • Table Largest data breaches globally in 2014-2015
    • Hardware specification requirements
    • Threat from loss of data
  • Impact of drivers and challenges
    • Table Impact of drivers and challenges
  • Market trends
    • Real-time analysis of data
    • Increasing demand for memory devices
    • Parallel processing of columnar database
  • Five forces model
    • Table Five forces model
  • Vendor landscape
    • Competitive landscape
    • Top vendor offerings
      • Table Product offerings
  • Vendor matrix
    • Vendor analysis
    • Vendor matrix
      • Table Vendor matrix by features
      • Table Vendor matrix by data storage modes
      • Table Vendor matrix by security
      • Table Vendor matrix by operating systems
      • Table Vendor matrix by geographical presence
  • Key vendor analysis
    • Vendor profiles
      • Table Features of ALTIBASE HDB
      • Table Key highlights: Altibase
      • Table Features of IBM DB2
      • Table Key highlights: IBM Corporation
      • Table Features of Microsoft SQL Server Analysis Services
      • Table Key highlights: Microsoft
      • Table Features of Oracle Essbase
      • Table Key highlights: Oracle
      • Table Features of SAP HANA
      • Table Key highlights: SAP SE
    • Other prominent vendors
      • Table Other prominent vendors
  • Appendix
    • List of abbreviations
  • Explore Technavio

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