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.

Market Analysis and Insights: Global HTAP-Enabling In-Memory Computing Technologies Market
The global HTAP-Enabling In-Memory Computing Technologies market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.
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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
Cloud-Based
On-Premises

Segment by Application
Large Enterprises(1000+ Users)
Medium-Sized Enterprise(499-1000 Users)
Small Enterprises(1-499 Users)

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
DataStax
Aerospike
GridGain