The global in-memory database market size reached US$ 5.9 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 15.9 Billion by 2028, exhibiting a growth rate (CAGR) of 17.5% during 2023-2028.
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 2023-2028. 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.
Report Coverage:
Report Features
Details
Base Year of the Analysis
2022
Historical Period
2017-2022
Forecast Period
2023-2028
Units
US$ Billion
Segment Coverage
Data Type, Application, End User, Vertical, Region
Region Covered
Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered
United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered
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.
Customization Scope
10% Free Customization
Report Price and Purchase Option
Single User License: US$ 2499
Five User License: US$ 3499
Corporate License: US$ 4499
Post-Sale Analyst Support
10-12 Weeks
Delivery Format
PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)
Key Questions Answered in This Report
The global in-memory database market was valued at US$ 5.9 Billion in 2022.
We expect the global in-memory database market to exhibit a CAGR of 17.5% during 2023-2028.
The sudden outbreak of the COVID-19 pandemic has led to the growing requirement for in-memory database, owing to the rising demand for online gaming and changing consumer inclination towards online retail platforms for the purchase of numerous products and services, during the lockdown scenario.
The widespread adoption of IMDB across the healthcare industry to expand functionality, improve the safety of medical devices, and assist in real-time analysis of electronic health records, is primarily driving the global in-memory database market.
Based on the data type, the global in-memory database market can be categorized into relational, noSQL, and newSQL. Currently, relational accounts for the majority of the total market share.
Based on the end user, the global in-memory database market has been segregated into SMEs and large enterprises, where SMEs hold the largest market share.
Based on the vertical, the global in-memory database market can be bifurcated into BFSI, retail and e-commerce, government & defense, healthcare, manufacturing, telecom & ITES, and others. Currently, the BFSI sector exhibits a clear dominance in the market.
On a regional level, the market has been classified into North America, Asia Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.
Some of the major players in the global in-memory database market include 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.
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