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Global HTAP-Enabling In-Memory Computing Technologies Market Research Report 2024
Synopsis
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.
The global HTAP-Enabling In-Memory Computing Technologies market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for HTAP-Enabling In-Memory Computing Technologies is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for HTAP-Enabling In-Memory Computing Technologies is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for HTAP-Enabling In-Memory Computing Technologies in Large Enterprises(1000+ Users) is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of HTAP-Enabling In-Memory Computing Technologies include Microsoft, IBM, MongoDB, SAP, DataStax, Aerospike and GridGain, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
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.
Report Scope
The HTAP-Enabling In-Memory Computing Technologies market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global HTAP-Enabling In-Memory Computing Technologies market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the HTAP-Enabling In-Memory Computing Technologies companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microsoft
IBM
MongoDB
SAP
DataStax
Aerospike
GridGain
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of HTAP-Enabling In-Memory Computing Technologies companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
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.
The global HTAP-Enabling In-Memory Computing Technologies market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for HTAP-Enabling In-Memory Computing Technologies is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for HTAP-Enabling In-Memory Computing Technologies is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for HTAP-Enabling In-Memory Computing Technologies in Large Enterprises(1000+ Users) is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of HTAP-Enabling In-Memory Computing Technologies include Microsoft, IBM, MongoDB, SAP, DataStax, Aerospike and GridGain, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
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.
Report Scope
The HTAP-Enabling In-Memory Computing Technologies market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global HTAP-Enabling In-Memory Computing Technologies market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the HTAP-Enabling In-Memory Computing Technologies companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microsoft
IBM
MongoDB
SAP
DataStax
Aerospike
GridGain
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of HTAP-Enabling In-Memory Computing Technologies companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global HTAP-Enabling In-Memory Computing Technologies Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 On-Premises
1.3 Market by Application
1.3.1 Global HTAP-Enabling In-Memory Computing Technologies Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises(1000+ Users)
1.3.3 Medium-Sized Enterprise(499-1000 Users)
1.3.4 Small Enterprises(1-499 Users)
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global HTAP-Enabling In-Memory Computing Technologies Market Perspective (2019-2030)
2.2 HTAP-Enabling In-Memory Computing Technologies Growth Trends by Region
2.2.1 Global HTAP-Enabling In-Memory Computing Technologies Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 HTAP-Enabling In-Memory Computing Technologies Historic Market Size by Region (2019-2024)
2.2.3 HTAP-Enabling In-Memory Computing Technologies Forecasted Market Size by Region (2025-2030)
2.3 HTAP-Enabling In-Memory Computing Technologies Market Dynamics
2.3.1 HTAP-Enabling In-Memory Computing Technologies Industry Trends
2.3.2 HTAP-Enabling In-Memory Computing Technologies Market Drivers
2.3.3 HTAP-Enabling In-Memory Computing Technologies Market Challenges
2.3.4 HTAP-Enabling In-Memory Computing Technologies Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top HTAP-Enabling In-Memory Computing Technologies Players by Revenue
3.1.1 Global Top HTAP-Enabling In-Memory Computing Technologies Players by Revenue (2019-2024)
3.1.2 Global HTAP-Enabling In-Memory Computing Technologies Revenue Market Share by Players (2019-2024)
3.2 Global HTAP-Enabling In-Memory Computing Technologies Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by HTAP-Enabling In-Memory Computing Technologies Revenue
3.4 Global HTAP-Enabling In-Memory Computing Technologies Market Concentration Ratio
3.4.1 Global HTAP-Enabling In-Memory Computing Technologies Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by HTAP-Enabling In-Memory Computing Technologies Revenue in 2023
3.5 HTAP-Enabling In-Memory Computing Technologies Key Players Head office and Area Served
3.6 Key Players HTAP-Enabling In-Memory Computing Technologies Product Solution and Service
3.7 Date of Enter into HTAP-Enabling In-Memory Computing Technologies Market
3.8 Mergers & Acquisitions, Expansion Plans
4 HTAP-Enabling In-Memory Computing Technologies Breakdown Data by Type
4.1 Global HTAP-Enabling In-Memory Computing Technologies Historic Market Size by Type (2019-2024)
4.2 Global HTAP-Enabling In-Memory Computing Technologies Forecasted Market Size by Type (2025-2030)
5 HTAP-Enabling In-Memory Computing Technologies Breakdown Data by Application
5.1 Global HTAP-Enabling In-Memory Computing Technologies Historic Market Size by Application (2019-2024)
5.2 Global HTAP-Enabling In-Memory Computing Technologies Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America HTAP-Enabling In-Memory Computing Technologies Market Size (2019-2030)
6.2 North America HTAP-Enabling In-Memory Computing Technologies Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2019-2024)
6.4 North America HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe HTAP-Enabling In-Memory Computing Technologies Market Size (2019-2030)
7.2 Europe HTAP-Enabling In-Memory Computing Technologies Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2019-2024)
7.4 Europe HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific HTAP-Enabling In-Memory Computing Technologies Market Size (2019-2030)
8.2 Asia-Pacific HTAP-Enabling In-Memory Computing Technologies Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific HTAP-Enabling In-Memory Computing Technologies Market Size by Region (2019-2024)
8.4 Asia-Pacific HTAP-Enabling In-Memory Computing Technologies Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America HTAP-Enabling In-Memory Computing Technologies Market Size (2019-2030)
9.2 Latin America HTAP-Enabling In-Memory Computing Technologies Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2019-2024)
9.4 Latin America HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa HTAP-Enabling In-Memory Computing Technologies Market Size (2019-2030)
10.2 Middle East & Africa HTAP-Enabling In-Memory Computing Technologies Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2019-2024)
10.4 Middle East & Africa HTAP-Enabling In-Memory Computing Technologies Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft HTAP-Enabling In-Memory Computing Technologies Introduction
11.1.4 Microsoft Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM HTAP-Enabling In-Memory Computing Technologies Introduction
11.2.4 IBM Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.2.5 IBM Recent Development
11.3 MongoDB
11.3.1 MongoDB Company Detail
11.3.2 MongoDB Business Overview
11.3.3 MongoDB HTAP-Enabling In-Memory Computing Technologies Introduction
11.3.4 MongoDB Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.3.5 MongoDB Recent Development
11.4 SAP
11.4.1 SAP Company Detail
11.4.2 SAP Business Overview
11.4.3 SAP HTAP-Enabling In-Memory Computing Technologies Introduction
11.4.4 SAP Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.4.5 SAP Recent Development
11.5 DataStax
11.5.1 DataStax Company Detail
11.5.2 DataStax Business Overview
11.5.3 DataStax HTAP-Enabling In-Memory Computing Technologies Introduction
11.5.4 DataStax Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.5.5 DataStax Recent Development
11.6 Aerospike
11.6.1 Aerospike Company Detail
11.6.2 Aerospike Business Overview
11.6.3 Aerospike HTAP-Enabling In-Memory Computing Technologies Introduction
11.6.4 Aerospike Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.6.5 Aerospike Recent Development
11.7 GridGain
11.7.1 GridGain Company Detail
11.7.2 GridGain Business Overview
11.7.3 GridGain HTAP-Enabling In-Memory Computing Technologies Introduction
11.7.4 GridGain Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2019-2024)
11.7.5 GridGain Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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