The Market Reports

Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com

Global Relational In-Memory Database Market Research Report 2024

Global Relational In-Memory Database Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1885455

No of Pages : 85

Ask Your Query

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 was valued at US$ 3124 million in 2023 and is anticipated to reach US$ 9888.6 million by 2030, witnessing a CAGR of 19.3% during the forecast period 2024-2030.

North American market for Relational In-Memory Database is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Relational In-Memory Database is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Relational In-Memory Database in Transaction is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Relational In-Memory Database include Microsoft, IBM, Oracle, SAP, Teradata, Amazon, Tableau, Kognitio and Volt, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for Relational In-Memory Database, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Relational In-Memory Database.

Report Scope

The Relational In-Memory Database market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Relational In-Memory Database market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Relational In-Memory Database companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company (Partial List)

  • Microsoft
  • IBM
  • Oracle
  • SAP
  • Teradata
  • Amazon
  • Tableau
  • Kognitio
  • Volt
  • DataStax
  • ENEA
  • McObject
  • Altibase

Segment by Type

  • Main Memory Database (MMDB)
  • Real-time Database (RTDB)

Segment by Application

  • Transaction
  • Reporting
  • Analytics

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Netherlands)
  • Asia-Pacific (China, Japan, South Korea, China Taiwan, Southeast Asia, India)
  • Latin America, Middle East & Africa (Latin America, Mexico, Brazil, Turkey)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Relational In-Memory Database companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Relational In-Memory Database Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Main Memory Database (MMDB)
1.2.3 Real-time Database (RTDB)
1.3 Market by Application
1.3.1 Global Relational In-Memory Database Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Transaction
1.3.3 Reporting
1.3.4 Analytics
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Relational In-Memory Database Market Perspective (2019-2030)
2.2 Relational In-Memory Database Growth Trends by Region
2.2.1 Global Relational In-Memory Database Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Relational In-Memory Database Historic Market Size by Region (2019-2024)
2.2.3 Relational In-Memory Database Forecasted Market Size by Region (2025-2030)
2.3 Relational In-Memory Database Market Dynamics
2.3.1 Relational In-Memory Database Industry Trends
2.3.2 Relational In-Memory Database Market Drivers
2.3.3 Relational In-Memory Database Market Challenges
2.3.4 Relational In-Memory Database Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Relational In-Memory Database Players by Revenue
3.1.1 Global Top Relational In-Memory Database Players by Revenue (2019-2024)
3.1.2 Global Relational In-Memory Database Revenue Market Share by Players (2019-2024)
3.2 Global Relational In-Memory Database Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Relational In-Memory Database Revenue
3.4 Global Relational In-Memory Database Market Concentration Ratio
3.4.1 Global Relational In-Memory Database Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Relational In-Memory Database Revenue in 2023
3.5 Relational In-Memory Database Key Players Head office and Area Served
3.6 Key Players Relational In-Memory Database Product Solution and Service
3.7 Date of Enter into Relational In-Memory Database Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Relational In-Memory Database Breakdown Data by Type
4.1 Global Relational In-Memory Database Historic Market Size by Type (2019-2024)
4.2 Global Relational In-Memory Database Forecasted Market Size by Type (2025-2030)
5 Relational In-Memory Database Breakdown Data by Application
5.1 Global Relational In-Memory Database Historic Market Size by Application (2019-2024)
5.2 Global Relational In-Memory Database Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Relational In-Memory Database Market Size (2019-2030)
6.2 North America Relational In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Relational In-Memory Database Market Size by Country (2019-2024)
6.4 North America Relational In-Memory Database Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Relational In-Memory Database Market Size (2019-2030)
7.2 Europe Relational In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Relational In-Memory Database Market Size by Country (2019-2024)
7.4 Europe Relational In-Memory Database Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Relational In-Memory Database Market Size (2019-2030)
8.2 Asia-Pacific Relational In-Memory Database Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Relational In-Memory Database Market Size by Region (2019-2024)
8.4 Asia-Pacific Relational In-Memory Database Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Relational In-Memory Database Market Size (2019-2030)
9.2 Latin America Relational In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Relational In-Memory Database Market Size by Country (2019-2024)
9.4 Latin America Relational In-Memory Database Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Relational In-Memory Database Market Size (2019-2030)
10.2 Middle East & Africa Relational In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Relational In-Memory Database Market Size by Country (2019-2024)
10.4 Middle East & Africa Relational In-Memory Database Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Relational In-Memory Database Introduction
11.1.4 Microsoft Revenue in Relational In-Memory Database Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Relational In-Memory Database Introduction
11.2.4 IBM Revenue in Relational In-Memory Database Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Oracle
11.3.1 Oracle Company Detail
11.3.2 Oracle Business Overview
11.3.3 Oracle Relational In-Memory Database Introduction
11.3.4 Oracle Revenue in Relational In-Memory Database Business (2019-2024)
11.3.5 Oracle Recent Development
11.4 SAP
11.4.1 SAP Company Detail
11.4.2 SAP Business Overview
11.4.3 SAP Relational In-Memory Database Introduction
11.4.4 SAP Revenue in Relational In-Memory Database Business (2019-2024)
11.4.5 SAP Recent Development
11.5 Teradata
11.5.1 Teradata Company Detail
11.5.2 Teradata Business Overview
11.5.3 Teradata Relational In-Memory Database Introduction
11.5.4 Teradata Revenue in Relational In-Memory Database Business (2019-2024)
11.5.5 Teradata Recent Development
11.6 Amazon
11.6.1 Amazon Company Detail
11.6.2 Amazon Business Overview
11.6.3 Amazon Relational In-Memory Database Introduction
11.6.4 Amazon Revenue in Relational In-Memory Database Business (2019-2024)
11.6.5 Amazon Recent Development
11.7 Tableau
11.7.1 Tableau Company Detail
11.7.2 Tableau Business Overview
11.7.3 Tableau Relational In-Memory Database Introduction
11.7.4 Tableau Revenue in Relational In-Memory Database Business (2019-2024)
11.7.5 Tableau Recent Development
11.8 Kognitio
11.8.1 Kognitio Company Detail
11.8.2 Kognitio Business Overview
11.8.3 Kognitio Relational In-Memory Database Introduction
11.8.4 Kognitio Revenue in Relational In-Memory Database Business (2019-2024)
11.8.5 Kognitio Recent Development
11.9 Volt
11.9.1 Volt Company Detail
11.9.2 Volt Business Overview
11.9.3 Volt Relational In-Memory Database Introduction
11.9.4 Volt Revenue in Relational In-Memory Database Business (2019-2024)
11.9.5 Volt Recent Development
11.10 DataStax
11.10.1 DataStax Company Detail
11.10.2 DataStax Business Overview
11.10.3 DataStax Relational In-Memory Database Introduction
11.10.4 DataStax Revenue in Relational In-Memory Database Business (2019-2024)
11.10.5 DataStax Recent Development
11.11 ENEA
11.11.1 ENEA Company Detail
11.11.2 ENEA Business Overview
11.11.3 ENEA Relational In-Memory Database Introduction
11.11.4 ENEA Revenue in Relational In-Memory Database Business (2019-2024)
11.11.5 ENEA Recent Development
11.12 McObject
11.12.1 McObject Company Detail
11.12.2 McObject Business Overview
11.12.3 McObject Relational In-Memory Database Introduction
11.12.4 McObject Revenue in Relational In-Memory Database Business (2019-2024)
11.12.5 McObject Recent Development
11.13 Altibase
11.13.1 Altibase Company Detail
11.13.2 Altibase Business Overview
11.13.3 Altibase Relational In-Memory Database Introduction
11.13.4 Altibase Revenue in Relational In-Memory Database Business (2019-2024)
11.13.5 Altibase Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

Why ‘The Market Reports’

In Business: Pre Sales Support: Post Sales Support: Turn Around Time: Clients Served: Clients Assisted: Client Types: Payment: Partners with: Number of reports: Custom Research: Report Availability: Report Delivery Format: Security:

Payments Accepted From

Connect with us at

Complete Secure Website

SiteLock