The global in-memory database market size reached US$ 6.9 Billion in 2023. Looking forward, the publisher expects the market to reach US$ 26.8 Billion by 2032, exhibiting a growth rate (CAGR) of 16.27% during 2023-2032.
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.
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?
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:
The publisher 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 Preface3 Executive Summary12 Value Chain Analysis14 Price Analysis
2 Scope and Methodology
4 Introduction
5 Global In-Memory Database Market
6 Market Breakup by Data Type
7 Market Breakup by Application
8 Market Breakup by End User
9 Market Breakup by Vertical
10 Market Breakup by Region
11 SWOT Analysis
13 Porters Five Forces Analysis
15 Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
- Altibase Corporation
- Amazon Web Services
- Datastax
- Enea AB
- IBM Corporation
- Kognitio Ltd.
- Mcobject LLC
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- Tableau Software
- Teradata Corporation
- VoltDB Inc.
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 143 |
| Published | August 2024 |
| Forecast Period | 2023 - 2032 |
| Estimated Market Value ( USD | $ 6.9 Billion |
| Forecasted Market Value ( USD | $ 26.8 Billion |
| Compound Annual Growth Rate | 16.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 13 |
