Global In-memory OLAP Database Market Growth (Status and Outlook) 2023-2029

Global In-memory OLAP Database Market Growth (Status and Outlook) 2023-2029

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.

LPI (LP Information)' newest research report, the “In-memory OLAP Database Industry Forecast” looks at past sales and reviews total world In-memory OLAP Database sales in 2022, providing a comprehensive analysis by region and market sector of projected In-memory OLAP Database sales for 2023 through 2029. With In-memory OLAP Database sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world In-memory OLAP Database industry.

This Insight Report provides a comprehensive analysis of the global In-memory OLAP Database landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on In-memory OLAP Database portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global In-memory OLAP Database market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for In-memory OLAP Database and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global In-memory OLAP Database.

The global In-memory OLAP Database market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.

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.

This report presents a comprehensive overview, market shares, and growth opportunities of In-memory OLAP Database market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
MOLAP
DOLAP
SOLAP
Others

Segmentation by application
BFSI
Government and Defense
Healthcare and Life Sciences
Retail and Consumer Goods
Transportation and Logistics
IT and Telecommunication
Manufacturing
Energy and Utility

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Altibase
IBM
Microsoft
Oracle
SAP SE
Exasol
Jedox
Kognitio
Mcobject
MemSQL
MicroStrategy
SAS Institute
Teradata
Terracotta
VoltDB

Please note: The report will take approximately 2 business days to prepare and deliver.