In-Memory Database Market Report by Data Type (Relational, NoSQL, NewSQL), Application (Customer Experience Management, Design & Innovation, Operation Optimization, Marketing Management, Real-Time Analysis and Decision-making, and Others), End User (SMEs,

In-Memory Database Market Report by Data Type (Relational, NoSQL, NewSQL), Application (Customer Experience Management, Design & Innovation, Operation Optimization, Marketing Management, Real-Time Analysis and Decision-making, and Others), End User (SMEs, Large Enterprises), Vertical (BFSI, Retail & E-commerce, Government & Defense, Healthcare, Manufacturing, Telecom & ITES, and Others), and Region 2024-2032


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?


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

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