Report overview
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.
This report aims to provide a comprehensive presentation of the global market for HTAP-Enabling In-Memory Computing Technologies, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding HTAP-Enabling In-Memory Computing Technologies. This report contains market size and forecasts of HTAP-Enabling In-Memory Computing Technologies in global, including the following market information:
Global HTAP-Enabling In-Memory Computing Technologies Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global top five companies in 2022 (%)
The global HTAP-Enabling In-Memory Computing Technologies market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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.
We surveyed the HTAP-Enabling In-Memory Computing Technologies companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global HTAP-Enabling In-Memory Computing Technologies Market, by Type, 2018-2023, 2024-2032 ($ millions)
Global HTAP-Enabling In-Memory Computing Technologies Market Segment Percentages, by Type, 2022 (%)
Single Node Based
Distributed Systems Based
Hybrid Memory Structure Based
Global HTAP-Enabling In-Memory Computing Technologies Market, by Application, 2018-2023, 2024-2032 ($ millions)
Global HTAP-Enabling In-Memory Computing Technologies Market Segment Percentages, by Application, 2022 (%)
Retail
Banks
Logistics
Others
Global HTAP-Enabling In-Memory Computing Technologies Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions)
Global HTAP-Enabling In-Memory Computing Technologies Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies HTAP-Enabling In-Memory Computing Technologies revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies HTAP-Enabling In-Memory Computing Technologies revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Microsoft
IBM
MongoDB
SAP
Aerospike
DataStax
GridGain
Outline of Major Chapters:
Chapter 1: Introduces the definition of HTAP-Enabling In-Memory Computing Technologies, market overview.
Chapter 2: Global HTAP-Enabling In-Memory Computing Technologies market size in revenue.
Chapter 3: Detailed analysis of HTAP-Enabling In-Memory Computing Technologies company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of HTAP-Enabling In-Memory Computing Technologies in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
