Global In-memory OLAP Database Market Size, Status and Forecast 2019-2025

In-memory OLAP is the method by which analytical data is loaded into memory for live calculations and querying. Because the data is loaded into memory, running queries (or, in OLAP terms, slicing and dicing), can be faster then with traditional relational on-line analytical processing (ROLAP), multidimensional OLAP (MOLAP) and hybrid systems. Since the data resides in the RAM, the system does not need to reach out to a database or a physical file which may further entail additional network operations and disk read/write operations. Furthermore, traditional cubes store pre-calculated data and results which can then be queried. This limits the number of pre-calculated combinations. With RAM-based analytics, these calculations can sometimes be just as quickly generated on the fly.
A number of established and new vendors have come out with in-memory OLAP technologies. While the concept is at least a decade old, it is gaining more acceptance due to cheaper Random Access Memory (RAM) and faster CPU speeds.
In 2018, the global In-memory OLAP Database market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global In-memory OLAP Database status, future forecast, growth opportunity, key market and key players. The study objectives are to present the In-memory OLAP Database development in United States, Europe and China.

The key players covered in this study
Altibase
IBM
Microsoft
Oracle
SAP SE
Exasol
Jedox
Kognitio
Mcobject
MemSQL
MicroStrategy
SAS Institute
Teradata
Terracotta
VoltDB

Market segment by Type, the product can be split into
Transaction
Reporting
Analytics

Market segment by Application, split into
BFSI
Government and Defense
Healthcare and Life Sciences
Retail and Consumer Goods
Transportation and Logistics
IT and Telecommunication
Manufacturing
Energy and Utility

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global In-memory OLAP Database status, future forecast, growth opportunity, key market and key players.
To present the In-memory OLAP Database development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of In-memory OLAP Database are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.