Product Code: SR112024A2798
The global in-memory database market size reached US$ 6.9 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 26.8 Billion by 2032, exhibiting a growth rate (CAGR) of 15.7% during 2024-2032.
An in-memory database (IMDB) relies on random-access memory (RAM) to store and manage data in a compressed and non-relational format. It is more volatile and controls different parts of the database through direct pointers and allows real-time analysis and data reporting compared to conventional disk-based databases. It also eliminates the need for query data from a disk, which helps attain faster transactions and multi-user concurrency. Consequently, it is extensively utilized in interactive online gaming, geospatial processing and developing embedded software systems worldwide. Moreover, as it reduces data indexing and IT costs, it finds application in business intelligence (BI) for storing historical data on metrics.
The widespread adoption of big data analytics, in confluence with the escalating demand for managing high-performance computing (HPC), represents one of the key factors stimulating the growth of the IMDB market. Moreover, with the growing focus on precision medicine, IMDB is gaining traction in the healthcare industry to expand functionality and improve the safety of medical devices. It also assists in real-time analysis of electronic health records, which is contributing to the market growth. Apart from this, the development of non-volatile random-access memory (NVRAM) allows IMDB to maintain data after a power outage or computer crash. Furthermore, the application of IMDBs is increasing in cloud-based applications and e-commerce websites to improve speed and scalability. Other factors such as the rising adoption of cloud services, escalating demand for online gaming and the increasing utilization of e-commerce channels due to the coronavirus disease (COVID-19) outbreak, consequent lockdowns and social distancing measures promoted by governments of various countries are influencing the market positively.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the global in-memory database market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on data type, application, end user and vertical.
Breakup by Data Type:
Relational
NoSQL
NewSQL
Breakup by Application:
Customer Experience Management
Design & Innovation
Operation Optimization
Marketing Management
Real-Time Analysis and Decision-making
Others
Breakup by End User:
SMEs
Large Enterprises
Breakup by Vertical:
BFSI
Retail & E-commerce
Government & Defense
Healthcare
Manufacturing
Telecom & ITES
Others
Breakup by Region:
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
Competitive Landscape:
The competitive landscape of the industry has also been examined with some of the key players being Altibase Corporation, Amazon Web Services, Datastax, Enea AB, IBM Corporation, Kognitio Ltd., Mcobject LLC, Microsoft Corporation, Oracle Corporation, SAP SE, Tableau Software, Teradata Corporation and VoltDB Inc.
Key Questions Answered in This Report
- 1. What was the size of the global in-memory database market in 2023?
- 2. What is the expected growth rate of the global in-memory database market during 2024-2032?
- 3. What has been the impact of COVID-19 on the global in-memory database market?
- 4. What are the key factors driving the global in-memory database market?
- 5. What is the breakup of the global in-memory database market based on the data type?
- 6. What is the breakup of the global in-memory database market based on the end user?
- 7. What is the breakup of the global in-memory database market based on the vertical?
- 8. What are the key regions in the global in-memory database market?
- 9. Who are the key players/companies in the global in-memory database market?
Table of Contents
1 Preface
2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
5 Global In-Memory Database Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
6 Market Breakup by Data Type
- 6.1 Relational
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 NoSQL
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
- 6.3 NewSQL
- 6.3.1 Market Trends
- 6.3.2 Market Forecast
7 Market Breakup by Application
- 7.1 Customer Experience Management
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Design & Innovation
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
- 7.3 Operation Optimization
- 7.3.1 Market Trends
- 7.3.2 Market Forecast
- 7.4 Marketing Management
- 7.4.1 Market Trends
- 7.4.2 Market Forecast
- 7.5 Real-Time Analysis and Decision-making
- 7.5.1 Market Trends
- 7.5.2 Market Forecast
- 7.6 Others
- 7.6.1 Market Trends
- 7.6.2 Market Forecast
8 Market Breakup by End User
- 8.1 SMEs
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 Large Enterprises
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
9 Market Breakup by Vertical
- 9.1 BFSI
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
- 9.2 Retail & E-commerce
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
- 9.3 Government & Defense
- 9.3.1 Market Trends
- 9.3.2 Market Forecast
- 9.4 Healthcare
- 9.4.1 Market Trends
- 9.4.2 Market Forecast
- 9.5 Manufacturing
- 9.5.1 Market Trends
- 9.5.2 Market Forecast
- 9.6 Telecom & ITES
- 9.6.1 Market Trends
- 9.6.2 Market Forecast
- 9.7 Others
- 9.7.1 Market Trends
- 9.7.2 Market Forecast
10 Market Breakup by Region
- 10.1 North America
- 10.1.1 United States
- 10.1.1.1 Market Trends
- 10.1.1.2 Market Forecast
- 10.1.2 Canada
- 10.1.2.1 Market Trends
- 10.1.2.2 Market Forecast
- 10.2 Asia Pacific
- 10.2.1 China
- 10.2.1.1 Market Trends
- 10.2.1.2 Market Forecast
- 10.2.2 Japan
- 10.2.2.1 Market Trends
- 10.2.2.2 Market Forecast
- 10.2.3 India
- 10.2.3.1 Market Trends
- 10.2.3.2 Market Forecast
- 10.2.4 South Korea
- 10.2.4.1 Market Trends
- 10.2.4.2 Market Forecast
- 10.2.5 Australia
- 10.2.5.1 Market Trends
- 10.2.5.2 Market Forecast
- 10.2.6 Indonesia
- 10.2.6.1 Market Trends
- 10.2.6.2 Market Forecast
- 10.2.7 Others
- 10.2.7.1 Market Trends
- 10.2.7.2 Market Forecast
- 10.3 Europe
- 10.3.1 Germany
- 10.3.1.1 Market Trends
- 10.3.1.2 Market Forecast
- 10.3.2 France
- 10.3.2.1 Market Trends
- 10.3.2.2 Market Forecast
- 10.3.3 United Kingdom
- 10.3.3.1 Market Trends
- 10.3.3.2 Market Forecast
- 10.3.4 Italy
- 10.3.4.1 Market Trends
- 10.3.4.2 Market Forecast
- 10.3.5 Spain
- 10.3.5.1 Market Trends
- 10.3.5.2 Market Forecast
- 10.3.6 Russia
- 10.3.6.1 Market Trends
- 10.3.6.2 Market Forecast
- 10.3.7 Others
- 10.3.7.1 Market Trends
- 10.3.7.2 Market Forecast
- 10.4 Latin America
- 10.4.1 Brazil
- 10.4.1.1 Market Trends
- 10.4.1.2 Market Forecast
- 10.4.2 Mexico
- 10.4.2.1 Market Trends
- 10.4.2.2 Market Forecast
- 10.4.3 Others
- 10.4.3.1 Market Trends
- 10.4.3.2 Market Forecast
- 10.5 Middle East and Africa
- 10.5.1 Market Trends
- 10.5.2 Market Breakup by Country
- 10.5.3 Market Forecast
11 SWOT Analysis
- 11.1 Overview
- 11.2 Strengths
- 11.3 Weaknesses
- 11.4 Opportunities
- 11.5 Threats
12 Value Chain Analysis
13 Porters Five Forces Analysis
- 13.1 Overview
- 13.2 Bargaining Power of Buyers
- 13.3 Bargaining Power of Suppliers
- 13.4 Degree of Competition
- 13.5 Threat of New Entrants
- 13.6 Threat of Substitutes
14 Price Analysis
15 Competitive Landscape
- 15.1 Market Structure
- 15.2 Key Players
- 15.3 Profiles of Key Players
- 15.3.1 Altibase Corporation
- 15.3.1.1 Company Overview
- 15.3.1.2 Product Portfolio
- 15.3.2 Amazon Web Services
- 15.3.2.1 Company Overview
- 15.3.2.2 Product Portfolio
- 15.3.2.3 SWOT Analysis
- 15.3.3 Datastax
- 15.3.3.1 Company Overview
- 15.3.3.2 Product Portfolio
- 15.3.4 Enea AB
- 15.3.4.1 Company Overview
- 15.3.4.2 Product Portfolio
- 15.3.4.3 Financials
- 15.3.5 IBM Corporation
- 15.3.5.1 Company Overview
- 15.3.5.2 Product Portfolio
- 15.3.5.3 Financials
- 15.3.5.4 SWOT Analysis
- 15.3.6 Kognitio Ltd.
- 15.3.6.1 Company Overview
- 15.3.6.2 Product Portfolio
- 15.3.7 Mcobject LLC
- 15.3.7.1 Company Overview
- 15.3.7.2 Product Portfolio
- 15.3.8 Microsoft Corporation
- 15.3.8.1 Company Overview
- 15.3.8.2 Product Portfolio
- 15.3.8.3 Financials
- 15.3.8.4 SWOT Analysis
- 15.3.9 Oracle Corporation
- 15.3.9.1 Company Overview
- 15.3.9.2 Product Portfolio
- 15.3.9.3 Financials
- 15.3.9.4 SWOT Analysis
- 15.3.10 SAP SE
- 15.3.10.1 Company Overview
- 15.3.10.2 Product Portfolio
- 15.3.10.3 Financials
- 15.3.10.4 SWOT Analysis
- 15.3.11 Tableau Software
- 15.3.11.1 Company Overview
- 15.3.11.2 Product Portfolio
- 15.3.12 Teradata Corporation
- 15.3.12.1 Company Overview
- 15.3.12.2 Product Portfolio
- 15.3.13 VoltDB Inc.
- 15.3.13.1 Company Overview
- 15.3.13.2 Product Portfolio