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In-memory OLAP Database-Global Market Insights and Sales Trends 2025
Synopsis
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.
The global In-memory OLAP Database market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of In-memory OLAP Database in various end use industries. The expanding demands from the BFSI, Government and Defense, Healthcare and Life Sciences and Retail and Consumer Goods, are propelling In-memory OLAP Database market. MOLAP, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the DOLAP segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for In-memory OLAP Database, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global In-memory OLAP Database market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global In-memory OLAP Database market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, In-memory OLAP Database sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of In-memory OLAP Database covered in this report include Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio and Mcobject, etc.
The global In-memory OLAP Database market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Altibase
IBM
Microsoft
Oracle
SAP SE
Exasol
Jedox
Kognitio
Mcobject
MemSQL
MicroStrategy
SAS Institute
Teradata
Terracotta
VoltDB
Global In-memory OLAP Database market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global In-memory OLAP Database market, Segment by Type:
MOLAP
DOLAP
SOLAP
Others
Global In-memory OLAP Database market, by Application
BFSI
Government and Defense
Healthcare and Life Sciences
Retail and Consumer Goods
Transportation and Logistics
IT and Telecommunication
Manufacturing
Energy and Utility
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of In-memory OLAP Database companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
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.
The global In-memory OLAP Database market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of In-memory OLAP Database in various end use industries. The expanding demands from the BFSI, Government and Defense, Healthcare and Life Sciences and Retail and Consumer Goods, are propelling In-memory OLAP Database market. MOLAP, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the DOLAP segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for In-memory OLAP Database, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global In-memory OLAP Database market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global In-memory OLAP Database market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, In-memory OLAP Database sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of In-memory OLAP Database covered in this report include Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio and Mcobject, etc.
The global In-memory OLAP Database market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Altibase
IBM
Microsoft
Oracle
SAP SE
Exasol
Jedox
Kognitio
Mcobject
MemSQL
MicroStrategy
SAS Institute
Teradata
Terracotta
VoltDB
Global In-memory OLAP Database market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global In-memory OLAP Database market, Segment by Type:
MOLAP
DOLAP
SOLAP
Others
Global In-memory OLAP Database market, by Application
BFSI
Government and Defense
Healthcare and Life Sciences
Retail and Consumer Goods
Transportation and Logistics
IT and Telecommunication
Manufacturing
Energy and Utility
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of In-memory OLAP Database companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of In-memory OLAP Database
1.1 In-memory OLAP Database Market Overview
1.1.1 In-memory OLAP Database Product Scope
1.1.2 In-memory OLAP Database Market Status and Outlook
1.2 Global In-memory OLAP Database Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global In-memory OLAP Database Market Size by Region (2018-2029)
1.4 Global In-memory OLAP Database Historic Market Size by Region (2018-2023)
1.5 Global In-memory OLAP Database Market Size Forecast by Region (2024-2029)
1.6 Key Regions, In-memory OLAP Database Market Size (2018-2029)
1.6.1 North America In-memory OLAP Database Market Size (2018-2029)
1.6.2 Europe In-memory OLAP Database Market Size (2018-2029)
1.6.3 Asia-Pacific In-memory OLAP Database Market Size (2018-2029)
1.6.4 Latin America In-memory OLAP Database Market Size (2018-2029)
1.6.5 Middle East & Africa In-memory OLAP Database Market Size (2018-2029)
2 In-memory OLAP Database Market by Type
2.1 Introduction
2.1.1 MOLAP
2.1.2 DOLAP
2.1.3 SOLAP
2.1.4 Others
2.2 Global In-memory OLAP Database Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global In-memory OLAP Database Historic Market Size by Type (2018-2023)
2.2.2 Global In-memory OLAP Database Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America In-memory OLAP Database Revenue Breakdown by Type (2018-2029)
2.3.2 Europe In-memory OLAP Database Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific In-memory OLAP Database Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America In-memory OLAP Database Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa In-memory OLAP Database Revenue Breakdown by Type (2018-2029)
3 In-memory OLAP Database Market Overview by Application
3.1 Introduction
3.1.1 BFSI
3.1.2 Government and Defense
3.1.3 Healthcare and Life Sciences
3.1.4 Retail and Consumer Goods
3.1.5 Transportation and Logistics
3.1.6 IT and Telecommunication
3.1.7 Manufacturing
3.1.8 Energy and Utility
3.2 Global In-memory OLAP Database Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global In-memory OLAP Database Historic Market Size by Application (2018-2023)
3.2.2 Global In-memory OLAP Database Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America In-memory OLAP Database Revenue Breakdown by Application (2018-2029)
3.3.2 Europe In-memory OLAP Database Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific In-memory OLAP Database Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America In-memory OLAP Database Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa In-memory OLAP Database Revenue Breakdown by Application (2018-2029)
4 In-memory OLAP Database Competition Analysis by Players
4.1 Global In-memory OLAP Database Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in In-memory OLAP Database as of 2022)
4.3 Date of Key Players Enter into In-memory OLAP Database Market
4.4 Global Top Players In-memory OLAP Database Headquarters and Area Served
4.5 Key Players In-memory OLAP Database Product Solution and Service
4.6 Competitive Status
4.6.1 In-memory OLAP Database Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Altibase
5.1.1 Altibase Profile
5.1.2 Altibase Main Business
5.1.3 Altibase In-memory OLAP Database Products, Services and Solutions
5.1.4 Altibase In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.1.5 Altibase Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM In-memory OLAP Database Products, Services and Solutions
5.2.4 IBM In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Microsoft
5.3.1 Microsoft Profile
5.3.2 Microsoft Main Business
5.3.3 Microsoft In-memory OLAP Database Products, Services and Solutions
5.3.4 Microsoft In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.3.5 Oracle Recent Developments
5.4 Oracle
5.4.1 Oracle Profile
5.4.2 Oracle Main Business
5.4.3 Oracle In-memory OLAP Database Products, Services and Solutions
5.4.4 Oracle In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.4.5 Oracle Recent Developments
5.5 SAP SE
5.5.1 SAP SE Profile
5.5.2 SAP SE Main Business
5.5.3 SAP SE In-memory OLAP Database Products, Services and Solutions
5.5.4 SAP SE In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.5.5 SAP SE Recent Developments
5.6 Exasol
5.6.1 Exasol Profile
5.6.2 Exasol Main Business
5.6.3 Exasol In-memory OLAP Database Products, Services and Solutions
5.6.4 Exasol In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.6.5 Exasol Recent Developments
5.7 Jedox
5.7.1 Jedox Profile
5.7.2 Jedox Main Business
5.7.3 Jedox In-memory OLAP Database Products, Services and Solutions
5.7.4 Jedox In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.7.5 Jedox Recent Developments
5.8 Kognitio
5.8.1 Kognitio Profile
5.8.2 Kognitio Main Business
5.8.3 Kognitio In-memory OLAP Database Products, Services and Solutions
5.8.4 Kognitio In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.8.5 Kognitio Recent Developments
5.9 Mcobject
5.9.1 Mcobject Profile
5.9.2 Mcobject Main Business
5.9.3 Mcobject In-memory OLAP Database Products, Services and Solutions
5.9.4 Mcobject In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.9.5 Mcobject Recent Developments
5.10 MemSQL
5.10.1 MemSQL Profile
5.10.2 MemSQL Main Business
5.10.3 MemSQL In-memory OLAP Database Products, Services and Solutions
5.10.4 MemSQL In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.10.5 MemSQL Recent Developments
5.11 MicroStrategy
5.11.1 MicroStrategy Profile
5.11.2 MicroStrategy Main Business
5.11.3 MicroStrategy In-memory OLAP Database Products, Services and Solutions
5.11.4 MicroStrategy In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.11.5 MicroStrategy Recent Developments
5.12 SAS Institute
5.12.1 SAS Institute Profile
5.12.2 SAS Institute Main Business
5.12.3 SAS Institute In-memory OLAP Database Products, Services and Solutions
5.12.4 SAS Institute In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.12.5 SAS Institute Recent Developments
5.13 Teradata
5.13.1 Teradata Profile
5.13.2 Teradata Main Business
5.13.3 Teradata In-memory OLAP Database Products, Services and Solutions
5.13.4 Teradata In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.13.5 Teradata Recent Developments
5.14 Terracotta
5.14.1 Terracotta Profile
5.14.2 Terracotta Main Business
5.14.3 Terracotta In-memory OLAP Database Products, Services and Solutions
5.14.4 Terracotta In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.14.5 Terracotta Recent Developments
5.15 VoltDB
5.15.1 VoltDB Profile
5.15.2 VoltDB Main Business
5.15.3 VoltDB In-memory OLAP Database Products, Services and Solutions
5.15.4 VoltDB In-memory OLAP Database Revenue (US$ Million) & (2018-2023)
5.15.5 VoltDB Recent Developments
6 North America
6.1 North America In-memory OLAP Database Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe In-memory OLAP Database Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific In-memory OLAP Database Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America In-memory OLAP Database Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa In-memory OLAP Database Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 In-memory OLAP Database Market Dynamics
11.1 In-memory OLAP Database Industry Trends
11.2 In-memory OLAP Database Market Drivers
11.3 In-memory OLAP Database Market Challenges
11.4 In-memory OLAP Database Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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