Global In-memory OLAP Database Market 2016-2020

  • ID: 3920560
  • Report
  • Region: Global
  • 63 pages
  • TechNavio
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

1 of 5

FEATURED COMPANIES

  • Altibase
  • IBM
  • Kognitio
  • MemSQL
  • MicroStrategy
  • SAP SE
  • MORE
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.

The 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

The 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 drivers
- Increased adoption among SMEs

Market challenges
- Hardware specification requirements

Market trends
- Parallel processing of columnar database

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?

You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.
READ MORE
Note: Product cover images may vary from those shown
2 of 5

FEATURED COMPANIES

  • Altibase
  • IBM
  • Kognitio
  • MemSQL
  • MicroStrategy
  • SAP SE
  • MORE
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: About the Author

List of Exhibits

Exhibit 01: Major countries covered
Exhibit 02: Segmentation of in-memory computing
Exhibit 03: Global in-memory OLAP database market
Exhibit 04: Global in-memory OLAP database 2015-2020 ($ billions)
Exhibit 05: Global in-memory OLAP database market by end-user 2015 (%share)
Exhibit 06: Segmentation of global in-memory OLAP database market by end-user 2015-2020
Exhibit 07: Global in-memory OLAP database market in retail sector 2015-2020 ($ billions)
Exhibit 08: Global in-memory OLAP database market in BFSI sector 2015-2020 ($ billions)
Exhibit 09: Global in-memory OLAP database market in healthcare sector 2015-2020 ($ billions)
Exhibit 10: Global in-memory OLAP database market in IT and telecom sector 2015-2020 ($ billions)
Exhibit 11: Global in-memory OLAP database market in government sector 2015-2020 ($ billions)
Exhibit 12: Global in-memory OLAP database market in others 2015-2020 ($ billions)
Exhibit 13: Global in-memory OLAP database market by geography 2015-2020 (% share)
Exhibit 14: In-memory OLAP database market in Americas 2015-2020 ($ billions)
Exhibit 15: In-memory OLAP database market in Europe 2015-2020 ($ billions)
Exhibit 16: In-memory OLAP database market in APAC 2015-2020 ($ billions)
Exhibit 17: In-memory OLAP database market in MEA 2015-2020 ($ billions)
Exhibit 18: Variation in the price of RAM ($)
Exhibit 19: Impact of drivers
Exhibit 20: Largest data breaches globally in 2014-2015
Exhibit 21: Impact of drivers and challenges
Exhibit 22: Five forces model
Exhibit 23: Product offerings
Exhibit 24: Vendor matrix by features
Exhibit 25: Vendor matrix by data storage modes
Exhibit 26: Vendor matrix by security
Exhibit 27: Vendor matrix by operating systems
Exhibit 28: Vendor matrix by geographical presence
Exhibit 29: Features of ALTIBASE HDB
Exhibit 30: Key highlights: Altibase
Exhibit 31: Features of IBM DB2
Exhibit 32: Key highlights: IBM Corporation
Exhibit 33: Features of Microsoft SQL Server Analysis Services
Exhibit 34: Key highlights: Microsoft
Exhibit 35: Features of Oracle Essbase
Exhibit 36: Key highlights: Oracle
Exhibit 37: Features of SAP HANA
Exhibit 38: Key highlights: SAP SE
Exhibit 39: Other prominent vendors
Note: Product cover images may vary from those shown
3 of 5

Loading
LOADING...

4 of 5

FEATURED COMPANIES

  • Altibase
  • IBM
  • Kognitio
  • MemSQL
  • MicroStrategy
  • SAP SE
  • MORE
New Report Released: - Global In-Memory OLAP Database Market 2016-2020

The author of the report 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 the research 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.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Note: Product cover images may vary from those shown
5 of 5
- Altibase
- IBM
- Microsoft
- Oracle
- SAP SE
- Exasol
- Jedox AG
- Kognitio
- Mcobject
- MemSQL
- MicroStrategy
- SAS Institute
- Teradata
- Terracotta
- VoltDB
Note: Product cover images may vary from those shown
6 of 5
Note: Product cover images may vary from those shown
Adroll
adroll