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Relational In-Memory Database-Global Market Insights and Sales Trends 2024
Synopsis
An Relational in-memory database (IMDB) is a database management system that primarily depends on main memory for storing computer data. IMDBs are quicker than disk-optimized databases because they carry out fewer CPU instructions, and their internal optimization algorithms are much simpler. IMDB eradicates disk access by saving and manipulating data in the main memory. An IMDB commonly includes direct data manipulation and a dedicated memory-based architecture.
The global Relational In-Memory Database market size is expected to reach US$ 9888.6 million by 2029, growing at a CAGR of 19.3% from 2023 to 2029. The market is mainly driven by the significant applications of Relational In-Memory Database in various end use industries. The expanding demands from the Transaction, Reporting and Analytics,, are propelling Relational In-Memory Database market. Main Memory Database (MMDB), 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 Real-time Database (RTDB) segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Relational In-Memory Database market, driven by demand from China, the second largest economy with some signs of stabilising, the Relational In-Memory Database market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
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 Relational 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 Relational 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 Relational In-Memory Database market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Relational 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 Relational In-Memory Database covered in this report include Microsoft, IBM, Oracle, SAP, Teradata, Amazon, Tableau, Kognitio and Volt, etc.
The global Relational 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
Tableau
Kognitio
Volt
DataStax
ENEA
McObject
Altibase
Global Relational 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 Relational In-Memory Database market, Segment by Type:
Main Memory Database (MMDB)
Real-time Database (RTDB)
Global Relational In-Memory Database market, by Application
Transaction
Reporting
Analytics
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 Relational 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 Relational in-memory database (IMDB) is a database management system that primarily depends on main memory for storing computer data. IMDBs are quicker than disk-optimized databases because they carry out fewer CPU instructions, and their internal optimization algorithms are much simpler. IMDB eradicates disk access by saving and manipulating data in the main memory. An IMDB commonly includes direct data manipulation and a dedicated memory-based architecture.
The global Relational In-Memory Database market size is expected to reach US$ 9888.6 million by 2029, growing at a CAGR of 19.3% from 2023 to 2029. The market is mainly driven by the significant applications of Relational In-Memory Database in various end use industries. The expanding demands from the Transaction, Reporting and Analytics,, are propelling Relational In-Memory Database market. Main Memory Database (MMDB), 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 Real-time Database (RTDB) segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Relational In-Memory Database market, driven by demand from China, the second largest economy with some signs of stabilising, the Relational In-Memory Database market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
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 Relational 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 Relational 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 Relational In-Memory Database market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Relational 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 Relational In-Memory Database covered in this report include Microsoft, IBM, Oracle, SAP, Teradata, Amazon, Tableau, Kognitio and Volt, etc.
The global Relational 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
Tableau
Kognitio
Volt
DataStax
ENEA
McObject
Altibase
Global Relational 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 Relational In-Memory Database market, Segment by Type:
Main Memory Database (MMDB)
Real-time Database (RTDB)
Global Relational In-Memory Database market, by Application
Transaction
Reporting
Analytics
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 Relational 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 Relational In-Memory Database
1.1 Relational In-Memory Database Market Overview
1.1.1 Relational In-Memory Database Product Scope
1.1.2 Relational In-Memory Database Market Status and Outlook
1.2 Global Relational In-Memory Database Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Relational In-Memory Database Market Size by Region (2018-2029)
1.4 Global Relational In-Memory Database Historic Market Size by Region (2018-2023)
1.5 Global Relational In-Memory Database Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Relational In-Memory Database Market Size (2018-2029)
1.6.1 North America Relational In-Memory Database Market Size (2018-2029)
1.6.2 Europe Relational In-Memory Database Market Size (2018-2029)
1.6.3 Asia-Pacific Relational In-Memory Database Market Size (2018-2029)
1.6.4 Latin America Relational In-Memory Database Market Size (2018-2029)
1.6.5 Middle East & Africa Relational In-Memory Database Market Size (2018-2029)
2 Relational In-Memory Database Market by Type
2.1 Introduction
2.1.1 Main Memory Database (MMDB)
2.1.2 Real-time Database (RTDB)
2.2 Global Relational In-Memory Database Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Relational In-Memory Database Historic Market Size by Type (2018-2023)
2.2.2 Global Relational In-Memory Database Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Relational In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Relational In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Relational In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Relational In-Memory Database Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Relational In-Memory Database Revenue Breakdown by Type (2018-2029)
3 Relational In-Memory Database Market Overview by Application
3.1 Introduction
3.1.1 Transaction
3.1.2 Reporting
3.1.3 Analytics
3.2 Global Relational In-Memory Database Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Relational In-Memory Database Historic Market Size by Application (2018-2023)
3.2.2 Global Relational In-Memory Database Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Relational In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Relational In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Relational In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Relational In-Memory Database Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Relational In-Memory Database Revenue Breakdown by Application (2018-2029)
4 Relational In-Memory Database Competition Analysis by Players
4.1 Global Relational 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 Relational In-Memory Database as of 2022)
4.3 Date of Key Players Enter into Relational In-Memory Database Market
4.4 Global Top Players Relational In-Memory Database Headquarters and Area Served
4.5 Key Players Relational In-Memory Database Product Solution and Service
4.6 Competitive Status
4.6.1 Relational 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 Relational In-Memory Database Products, Services and Solutions
5.1.4 Microsoft Relational 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 Relational In-Memory Database Products, Services and Solutions
5.2.4 IBM Relational 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 Relational In-Memory Database Products, Services and Solutions
5.3.4 Oracle Relational 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 Relational In-Memory Database Products, Services and Solutions
5.4.4 SAP Relational 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 Relational In-Memory Database Products, Services and Solutions
5.5.4 Teradata Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.5.5 Teradata Recent Developments
5.6 Amazon
5.6.1 Amazon Profile
5.6.2 Amazon Main Business
5.6.3 Amazon Relational In-Memory Database Products, Services and Solutions
5.6.4 Amazon Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.6.5 Amazon Recent Developments
5.7 Tableau
5.7.1 Tableau Profile
5.7.2 Tableau Main Business
5.7.3 Tableau Relational In-Memory Database Products, Services and Solutions
5.7.4 Tableau Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.7.5 Tableau Recent Developments
5.8 Kognitio
5.8.1 Kognitio Profile
5.8.2 Kognitio Main Business
5.8.3 Kognitio Relational In-Memory Database Products, Services and Solutions
5.8.4 Kognitio Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.8.5 Kognitio Recent Developments
5.9 Volt
5.9.1 Volt Profile
5.9.2 Volt Main Business
5.9.3 Volt Relational In-Memory Database Products, Services and Solutions
5.9.4 Volt Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.9.5 Volt Recent Developments
5.10 DataStax
5.10.1 DataStax Profile
5.10.2 DataStax Main Business
5.10.3 DataStax Relational In-Memory Database Products, Services and Solutions
5.10.4 DataStax Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.10.5 DataStax Recent Developments
5.11 ENEA
5.11.1 ENEA Profile
5.11.2 ENEA Main Business
5.11.3 ENEA Relational In-Memory Database Products, Services and Solutions
5.11.4 ENEA Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.11.5 ENEA Recent Developments
5.12 McObject
5.12.1 McObject Profile
5.12.2 McObject Main Business
5.12.3 McObject Relational In-Memory Database Products, Services and Solutions
5.12.4 McObject Relational 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 Relational In-Memory Database Products, Services and Solutions
5.13.4 Altibase Relational In-Memory Database Revenue (US$ Million) & (2018-2023)
5.13.5 Altibase Recent Developments
6 North America
6.1 North America Relational In-Memory Database Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Relational 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 Relational 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 Relational 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 Relational 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 Relational In-Memory Database Market Dynamics
11.1 Relational In-Memory Database Industry Trends
11.2 Relational In-Memory Database Market Drivers
11.3 Relational In-Memory Database Market Challenges
11.4 Relational 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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