In-memory Database Market By Application (Transaction, Reporting, Analytics, Others), By Processing Type (Online Analytical Processing, Online Transaction Processing), By Deployment Model (On premise, Cloud), By Enterprise Size (Large Enterprises, SMEs), By Industry Vertical (IT and Telecom, BFSI, Retail and e commerce, Healthcare and life sciences, Government and defense, Manufacturing, Media and entertainment, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
An in-memory database (IMDB) saves all data in the main memory to promote faster execution. In-memory databases are designed to attain minimum response time, as well as high throughput for performance-critical systems. IMDB technology supports real-time data management, application-tier deployment, and most ACID properties. The benefits of an in-memory database involve high stability, faster transactions, multi-user concurrency, no translation, big data management, real-time updates, and minimizes IT costs. This approach facilitates faster query response, great performance, and encourages self-service analytics. It helps in eliminating the latency of data, thus facilitating real-time data analysis with faster extraction of information.
Rise in need for real-time data monitoring and analytical data processing from the biggest industrial verticals is primarily driving demand for memory databases. Industries such as e-retail have placed a greater emphasis on gathering consumer data to improve perception and forecast consumer purchase behavior. In addition, the market for in-memory databases has been expanding as a result of expansion of IoT-connected devices as these databases provide bulk of infrastructure for IoT applications. Furthermore, expansion of the in-memory databases market has been positively driven by rise in demand for improved risk management solutions by various organizations.
Moreover, as memory access is substantially faster than disc access, in-memory database system performs much more quickly when compared to disc optimized databases. In-memory database systems, such as Oracle Coherence and Starcounter, use the method of memory access as opposed to the majority of database management systems, which use technique of disc storage, such Oracle, MySQL, and Microsoft SQL Server. Databases that operate in-memory typically use volatile memory. However, development of non-volatile memory modules have made it possible to store data even in the event of a power outage.
The in-memory database market is segmented on the basis of application, processing type, deployment model, enterprise size, industry vertical, and region. By application, it is segmented into transaction, reporting, analytics, and others. By processing type, it is segmented into online analytical processing and online transaction processing. By deployment model, it is categorized into on-premise and cloud. By enterprise size, it is categorized into large enterprise and small and medium size enterprise. By industry vertical, it is categorized into IT & telecom, BFSI, retail & e-commerce, healthcare & life sciences, government & defense, manufacturing, media & entertainment, and others. The manufacturing segment is further categorized into food & beverages, industrial machinery & heavy equipment, high-tech & consumer electronics, automotive, and others. The high-tech & consumer electronics, segment is further divided into consumer electronics, PCs & laptops, and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the In-memory database platform market includes Aerospike, Inc., Altibase Corporation, Couchbase, Inc., DataStax, Inc., GridGain Systems, Inc., International Business Machine (IBM), Microsoft Corporation, McObject LLC., Oracle Corporation, Redis, Raima, Inc., SingleStore, Inc., SAP SE, TIBCO Software, Inc., Teradata Corporation, Vmware, Inc., and Volt Active Data. These key players have adopted numerous key development strategies such as partnership and new product launches, which help to strengthen their grip in the in-memory database market.
Key Benefits For Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the in-memory database market analysis from 2021 to 2031 to identify the prevailing in-memory database market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the in-memory database market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global in-memory database market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Deployment Model
On premise
Cloud
By Enterprise Size
Large Enterprises
SMEs
By Industry Vertical
IT and Telecom
BFSI
Retail and e commerce
Healthcare and life sciences
Government and defense
Manufacturing
Manufacturing Type
Food and Beverages
Industrial Machinery and Heavy Equipment
High Tech and Consumer Electronics
Automotive
Others
Media and entertainment
Others
By Application
Transaction
Reporting
Analytics
Others
By Processing Type
Online Analytical Processing
Online Transaction Processing
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Rest Of Europe
Asia-Pacific
China
India
Japan
South Korea
Australia
Rest Of Asia-Pacific
LAMEA
Brazil
Mexico
UAE
Saudi Arabia
South Africa
Rest Of LAMEA
Key Market Players
SAP SE
TIBCO Software Inc.
Teredata Corporation
IBM Corporation
Microsoft Corporation
Oracle Corporation
Aerospike Inc.
GridGain Systems Inc.
VMware Inc.
Redis Labs Inc.
Altibase Corp.
Raima Inc.
VoltDB Inc.
Couchbase Inc.
DataStax Inc.
McObject LLC
MemSQL Inc.
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