Global HTAP-Enabling In-Memory Computing Technologies Market Size, Status and Forecast 2022

A hybrid transaction/analytical processing (HTAP) architecture is best enabled by in-memory computing (IMC) techniques and technologies to enable analytical processing on the same (in memory) data store that is used to perform transaction processing. By removing the latency associated with moving data from operational databases to data warehouses and data marts for analytical processing, this architecture enables real-time analytics and situation awareness on live transaction data as opposed to after-the-fact analysis on stale data. IMC technologies support a single, low-latency-access, in-memory data store capable of processing high volumes of transactions.
In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives. In-memory computing helps business customers, including retailers, banks and utilities, to quickly detect patterns, analyze massive data volumes on the fly, and perform their operations quickly. The drop in memory prices in the present market is a major factor contributing to the increasing popularity of in-memory computing technology. This has made in-memory computing economical among a wide variety of applications.

Market Analysis and Insights: Global HTAP-Enabling In-Memory Computing Technologies Market
In 2021, the global HTAP-Enabling In-Memory Computing Technologies market size will be US$ million and it is expected to reach US$ million by the end of 2027, with a CAGR of % during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global HTAP-Enabling In-Memory Computing Technologies market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global HTAP-Enabling In-Memory Computing Technologies market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global HTAP-Enabling In-Memory Computing Technologies market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global HTAP-Enabling In-Memory Computing Technologies market.

Global HTAP-Enabling In-Memory Computing Technologies Scope and Market Size
HTAP-Enabling In-Memory Computing Technologies market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global HTAP-Enabling In-Memory Computing Technologies market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Single Node Based
Distributed Systems Based
Hybrid Memory Structure Based

Segment by Application
Retail
Banks
Logistics
Others

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Microsoft
IBM
MongoDB
SAP
Aerospike
DataStax
GridGain