Global HTAP-Enabling In-Memory Computing Technologies Market Size, Status and Forecast 2020-2026

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 2019, the global HTAP-Enabling In-Memory Computing Technologies market size was US$ xx million and it is expected to reach US$ xx million by the end of 2026, with a CAGR of xx% during 2021-2026.
Global HTAP-Enabling In-Memory Computing Technologies Scope and Market Size
HTAP-Enabling In-Memory Computing Technologies market is segmented 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 2015-2026.
Segment by Type, the HTAP-Enabling In-Memory Computing Technologies market is segmented into Single Node Based, Distributed Systems Based, Hybrid Memory Structure Based, etc.
Segment by Application, the HTAP-Enabling In-Memory Computing Technologies market is segmented into Retail, Banks, Logistics, Others, etc.
Regional and Country-level Analysis
The HTAP-Enabling In-Memory Computing Technologies market is analysed and market size information is provided by regions (countries).
The key regions covered in the HTAP-Enabling In-Memory Computing Technologies market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.

Competitive Landscape

and HTAP-Enabling In-Memory Computing Technologies Market Share Analysis
HTAP-Enabling In-Memory Computing Technologies market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in HTAP-Enabling In-Memory Computing Technologies business, the date to enter into the HTAP-Enabling In-Memory Computing Technologies market, HTAP-Enabling In-Memory Computing Technologies product introduction, recent developments, etc.
The major vendors include Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain, etc.

This report focuses on the global HTAP-Enabling In-Memory Computing Technologies status, future forecast, growth opportunity, key market and key players. The study objectives are to present the HTAP-Enabling In-Memory Computing Technologies development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study

Microsoft
IBM
MongoDB
SAP
Aerospike
DataStax
GridGain
...

Market segment by Type, the product can be split into

Single Node Based
Distributed Systems Based
Hybrid Memory Structure Based

Market segment by Application, split into

Retail
Banks
Logistics
Others

Market segment by Regions/Countries, this report covers

North America
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:

To analyze global HTAP-Enabling In-Memory Computing Technologies status, future forecast, growth opportunity, key market and key players.
To present the HTAP-Enabling In-Memory Computing Technologies development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.

In this study, the years considered to estimate the market size of HTAP-Enabling In-Memory Computing Technologies are as follows:
History Year: 2015-2019

Base Year:

2019

Estimated Year:

2020
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.