HTAP-Enabling In-Memory Computing Technologies - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509247488

Publication Date:

September 26, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global market for HTAP-Enabling In-Memory Computing Technologies was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for HTAP-Enabling In-Memory Computing Technologies, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of HTAP-Enabling In-Memory Computing Technologies by region & country, by Type, and by Application.
The HTAP-Enabling In-Memory Computing Technologies market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
By Company
Microsoft
IBM
MongoDB
SAP
Aerospike
DataStax
GridGain
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
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of HTAP-Enabling In-Memory Computing Technologies manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of HTAP-Enabling In-Memory Computing Technologies in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of HTAP-Enabling In-Memory Computing Technologies in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 HTAP-Enabling In-Memory Computing Technologies Product Introduction
1.2 Global HTAP-Enabling In-Memory Computing Technologies Market Size Forecast
1.3 HTAP-Enabling In-Memory Computing Technologies Market Trends & Drivers
1.3.1 HTAP-Enabling In-Memory Computing Technologies Industry Trends
1.3.2 HTAP-Enabling In-Memory Computing Technologies Market Drivers & Opportunity
1.3.3 HTAP-Enabling In-Memory Computing Technologies Market Challenges
1.3.4 HTAP-Enabling In-Memory Computing Technologies Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global HTAP-Enabling In-Memory Computing Technologies Players Revenue Ranking (2023)
2.2 Global HTAP-Enabling In-Memory Computing Technologies Revenue by Company (2019-2024)
2.3 Key Companies HTAP-Enabling In-Memory Computing Technologies Manufacturing Base Distribution and Headquarters
2.4 Key Companies HTAP-Enabling In-Memory Computing Technologies Product Offered
2.5 Key Companies Time to Begin Mass Production of HTAP-Enabling In-Memory Computing Technologies
2.6 HTAP-Enabling In-Memory Computing Technologies Market Competitive Analysis
2.6.1 HTAP-Enabling In-Memory Computing Technologies Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by HTAP-Enabling In-Memory Computing Technologies Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in HTAP-Enabling In-Memory Computing Technologies as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Single Node Based
3.1.2 Distributed Systems Based
3.1.3 Hybrid Memory Structure Based
3.2 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Type
3.2.1 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global HTAP-Enabling In-Memory Computing Technologies Sales Value, by Type (2019-2030)
3.2.3 Global HTAP-Enabling In-Memory Computing Technologies Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Retail
4.1.2 Banks
4.1.3 Logistics
4.1.4 Others
4.2 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Application
4.2.1 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global HTAP-Enabling In-Memory Computing Technologies Sales Value, by Application (2019-2030)
4.2.3 Global HTAP-Enabling In-Memory Computing Technologies Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Region
5.1.1 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Region (2019-2024)
5.1.3 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Region (2025-2030)
5.1.4 Global HTAP-Enabling In-Memory Computing Technologies Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
5.2.2 North America HTAP-Enabling In-Memory Computing Technologies Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
5.3.2 Europe HTAP-Enabling In-Memory Computing Technologies Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
5.4.2 Asia Pacific HTAP-Enabling In-Memory Computing Technologies Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
5.5.2 South America HTAP-Enabling In-Memory Computing Technologies Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
5.6.2 Middle East & Africa HTAP-Enabling In-Memory Computing Technologies Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions HTAP-Enabling In-Memory Computing Technologies Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions HTAP-Enabling In-Memory Computing Technologies Sales Value
6.3 United States
6.3.1 United States HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.3.2 United States HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.3.3 United States HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.4.2 Europe HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.5.2 China HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.5.3 China HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.6.2 Japan HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.7.2 South Korea HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.8.2 Southeast Asia HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India HTAP-Enabling In-Memory Computing Technologies Sales Value, 2019-2030
6.9.2 India HTAP-Enabling In-Memory Computing Technologies Sales Value by Type (%), 2023 VS 2030
6.9.3 India HTAP-Enabling In-Memory Computing Technologies Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.1.4 Microsoft HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.1.5 Microsoft Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.2.4 IBM HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 MongoDB
7.3.1 MongoDB Profile
7.3.2 MongoDB Main Business
7.3.3 MongoDB HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.3.4 MongoDB HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.3.5 SAP Recent Developments
7.4 SAP
7.4.1 SAP Profile
7.4.2 SAP Main Business
7.4.3 SAP HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.4.4 SAP HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.4.5 SAP Recent Developments
7.5 Aerospike
7.5.1 Aerospike Profile
7.5.2 Aerospike Main Business
7.5.3 Aerospike HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.5.4 Aerospike HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.5.5 Aerospike Recent Developments
7.6 DataStax
7.6.1 DataStax Profile
7.6.2 DataStax Main Business
7.6.3 DataStax HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.6.4 DataStax HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.6.5 DataStax Recent Developments
7.7 GridGain
7.7.1 GridGain Profile
7.7.2 GridGain Main Business
7.7.3 GridGain HTAP-Enabling In-Memory Computing Technologies Products, Services and Solutions
7.7.4 GridGain HTAP-Enabling In-Memory Computing Technologies Revenue (US$ Million) & (2019-2024)
7.7.5 GridGain Recent Developments
8 Industry Chain Analysis
8.1 HTAP-Enabling In-Memory Computing Technologies Industrial Chain
8.2 HTAP-Enabling In-Memory Computing Technologies Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 HTAP-Enabling In-Memory Computing Technologies Sales Model
8.5.2 Sales Channel
8.5.3 HTAP-Enabling In-Memory Computing Technologies Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Microsoft
IBM
MongoDB
SAP
Aerospike
DataStax
GridGain

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