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In-Memory Database-Global Market Insights and Sales Trends 2025
Synopsis
An in-memory database is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases because disk access is slower than memory access, the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory eliminates seek time when querying the data, which provides faster and more predictable performance than disk.
The global In-Memory Database market size is expected to reach US$ 9635.6 million by 2029, growing at a CAGR of 15.6% from 2023 to 2029. The market is mainly driven by the significant applications of In-Memory 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 Database market. Online Analytical Processing (OLAP), 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 Online Transaction Processing (OLTP) segment is estimated at % CAGR for the next seven-year period.
The market in North America is expected to hold the largest share of the market. The APAC region is projected to have great opportunities in this market and would grow at the highest CAGR by 2023.
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 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 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 Database market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, In-Memory 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 Database covered in this report include Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software, Kognitio and VoltDB, etc.
The global In-Memory 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:
Microsoft
IBM
Oracle
SAP
Teradata
Amazon Web Services
Tableau Software
Kognitio
VoltDB
Datastax
Enea Ab
Mcobject
Altibase
Starcounter
Global In-Memory 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 Database market, Segment by Type:
Online Analytical Processing (OLAP)
Online Transaction Processing (OLTP)
Global In-Memory 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
Others
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 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
An in-memory database is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases because disk access is slower than memory access, the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory eliminates seek time when querying the data, which provides faster and more predictable performance than disk.
The global In-Memory Database market size is expected to reach US$ 9635.6 million by 2029, growing at a CAGR of 15.6% from 2023 to 2029. The market is mainly driven by the significant applications of In-Memory 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 Database market. Online Analytical Processing (OLAP), 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 Online Transaction Processing (OLTP) segment is estimated at % CAGR for the next seven-year period.
The market in North America is expected to hold the largest share of the market. The APAC region is projected to have great opportunities in this market and would grow at the highest CAGR by 2023.
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 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 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 Database market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, In-Memory 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 Database covered in this report include Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software, Kognitio and VoltDB, etc.
The global In-Memory 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:
Microsoft
IBM
Oracle
SAP
Teradata
Amazon Web Services
Tableau Software
Kognitio
VoltDB
Datastax
Enea Ab
Mcobject
Altibase
Starcounter
Global In-Memory 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 Database market, Segment by Type:
Online Analytical Processing (OLAP)
Online Transaction Processing (OLTP)
Global In-Memory 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
Others
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 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 Database
1.1 In-Memory Database Market Overview
1.1.1 In-Memory Database Product Scope
1.1.2 In-Memory Database Market Status and Outlook
1.2 Global In-Memory Database Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global In-Memory Database Market Size by Region (2018-2029)
1.4 Global In-Memory Database Historic Market Size by Region (2018-2023)
1.5 Global In-Memory Database Market Size Forecast by Region (2024-2029)
1.6 Key Regions, In-Memory Database Market Size (2018-2029)
1.6.1 North America In-Memory Database Market Size (2018-2029)
1.6.2 Europe In-Memory Database Market Size (2018-2029)
1.6.3 Asia-Pacific In-Memory Database Market Size (2018-2029)
1.6.4 Latin America In-Memory Database Market Size (2018-2029)
1.6.5 Middle East & Africa In-Memory Database Market Size (2018-2029)
2 In-Memory Database Market by Type
2.1 Introduction
2.1.1 Online Analytical Processing (OLAP)
2.1.2 Online Transaction Processing (OLTP)
2.2 Global In-Memory Database Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global In-Memory Database Historic Market Size by Type (2018-2023)
2.2.2 Global In-Memory Database Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.2 Europe In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa In-Memory Database Revenue Breakdown by Type (2018-2029)
3 In-Memory 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
3.1.9 Others
3.2 Global In-Memory Database Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global In-Memory Database Historic Market Size by Application (2018-2023)
3.2.2 Global In-Memory Database Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.2 Europe In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa In-Memory Database Revenue Breakdown by Application (2018-2029)
4 In-Memory Database Competition Analysis by Players
4.1 Global In-Memory 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 Database as of 2022)
4.3 Date of Key Players Enter into In-Memory Database Market
4.4 Global Top Players In-Memory Database Headquarters and Area Served
4.5 Key Players In-Memory Database Product Solution and Service
4.6 Competitive Status
4.6.1 In-Memory Database Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Microsoft
5.1.1 Microsoft Profile
5.1.2 Microsoft Main Business
5.1.3 Microsoft In-Memory Database Products, Services and Solutions
5.1.4 Microsoft In-Memory Database Revenue (US$ Million) & (2018-2023)
5.1.5 Microsoft Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM In-Memory Database Products, Services and Solutions
5.2.4 IBM In-Memory Database Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Oracle
5.3.1 Oracle Profile
5.3.2 Oracle Main Business
5.3.3 Oracle In-Memory Database Products, Services and Solutions
5.3.4 Oracle In-Memory Database Revenue (US$ Million) & (2018-2023)
5.3.5 SAP Recent Developments
5.4 SAP
5.4.1 SAP Profile
5.4.2 SAP Main Business
5.4.3 SAP In-Memory Database Products, Services and Solutions
5.4.4 SAP In-Memory Database Revenue (US$ Million) & (2018-2023)
5.4.5 SAP Recent Developments
5.5 Teradata
5.5.1 Teradata Profile
5.5.2 Teradata Main Business
5.5.3 Teradata In-Memory Database Products, Services and Solutions
5.5.4 Teradata In-Memory Database Revenue (US$ Million) & (2018-2023)
5.5.5 Teradata Recent Developments
5.6 Amazon Web Services
5.6.1 Amazon Web Services Profile
5.6.2 Amazon Web Services Main Business
5.6.3 Amazon Web Services In-Memory Database Products, Services and Solutions
5.6.4 Amazon Web Services In-Memory Database Revenue (US$ Million) & (2018-2023)
5.6.5 Amazon Web Services Recent Developments
5.7 Tableau Software
5.7.1 Tableau Software Profile
5.7.2 Tableau Software Main Business
5.7.3 Tableau Software In-Memory Database Products, Services and Solutions
5.7.4 Tableau Software In-Memory Database Revenue (US$ Million) & (2018-2023)
5.7.5 Tableau Software Recent Developments
5.8 Kognitio
5.8.1 Kognitio Profile
5.8.2 Kognitio Main Business
5.8.3 Kognitio In-Memory Database Products, Services and Solutions
5.8.4 Kognitio In-Memory Database Revenue (US$ Million) & (2018-2023)
5.8.5 Kognitio Recent Developments
5.9 VoltDB
5.9.1 VoltDB Profile
5.9.2 VoltDB Main Business
5.9.3 VoltDB In-Memory Database Products, Services and Solutions
5.9.4 VoltDB In-Memory Database Revenue (US$ Million) & (2018-2023)
5.9.5 VoltDB Recent Developments
5.10 Datastax
5.10.1 Datastax Profile
5.10.2 Datastax Main Business
5.10.3 Datastax In-Memory Database Products, Services and Solutions
5.10.4 Datastax In-Memory Database Revenue (US$ Million) & (2018-2023)
5.10.5 Datastax Recent Developments
5.11 Enea Ab
5.11.1 Enea Ab Profile
5.11.2 Enea Ab Main Business
5.11.3 Enea Ab In-Memory Database Products, Services and Solutions
5.11.4 Enea Ab In-Memory Database Revenue (US$ Million) & (2018-2023)
5.11.5 Enea Ab Recent Developments
5.12 Mcobject
5.12.1 Mcobject Profile
5.12.2 Mcobject Main Business
5.12.3 Mcobject In-Memory Database Products, Services and Solutions
5.12.4 Mcobject In-Memory Database Revenue (US$ Million) & (2018-2023)
5.12.5 Mcobject Recent Developments
5.13 Altibase
5.13.1 Altibase Profile
5.13.2 Altibase Main Business
5.13.3 Altibase In-Memory Database Products, Services and Solutions
5.13.4 Altibase In-Memory Database Revenue (US$ Million) & (2018-2023)
5.13.5 Altibase Recent Developments
5.14 Starcounter
5.14.1 Starcounter Profile
5.14.2 Starcounter Main Business
5.14.3 Starcounter In-Memory Database Products, Services and Solutions
5.14.4 Starcounter In-Memory Database Revenue (US$ Million) & (2018-2023)
5.14.5 Starcounter Recent Developments
6 North America
6.1 North America In-Memory Database Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe In-Memory 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 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 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 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 Database Market Dynamics
11.1 In-Memory Database Industry Trends
11.2 In-Memory Database Market Drivers
11.3 In-Memory Database Market Challenges
11.4 In-Memory 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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