SQL In-Memory Database - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509249449

Publication Date:

September 11, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

An SQL in-memory database is a type of purpose-built database that relies primarily on memory for data storage, in contrast to databases that store data on disk or SSDs. In-memory databases are designed to attain minimal response time by eliminating the need to access disks. Because all data is stored and managed exclusively in main memory, it is at risk of being lost upon a process or server failure. In-memory databases can persist data on disks by storing each operation in a log or by taking snapshots.
The global market for SQL In-Memory Database was estimated to be worth US$ 5400 million in 2023 and is forecast to a readjusted size of US$ 19350 million by 2030 with a CAGR of 20.0% during the forecast period 2024-2030
North American market for SQL In-Memory Database was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for SQL In-Memory Database was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for SQL In-Memory Database was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of SQL In-Memory Database include MicrosoftCorporation, IBM, Oracle, SAP, Teradata, Amazon, Tableau, McObject and Altibase, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for SQL In-Memory Database, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of SQL In-Memory Database by region & country, by Type, and by Application.
The SQL In-Memory Database 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 SQL In-Memory Database.
Market Segmentation
By Company
MicrosoftCorporation
IBM
Oracle
SAP
Teradata
Amazon
Tableau
McObject
Altibase
Segment by Type:
Main Memory Database (MMDB)
Real-time Database (RTDB)
Segment by Application
Transaction
Reporting
Analytics
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 SQL In-Memory Database 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 SQL In-Memory Database 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 SQL In-Memory Database 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 SQL In-Memory Database Product Introduction
1.2 Global SQL In-Memory Database Market Size Forecast
1.3 SQL In-Memory Database Market Trends & Drivers
1.3.1 SQL In-Memory Database Industry Trends
1.3.2 SQL In-Memory Database Market Drivers & Opportunity
1.3.3 SQL In-Memory Database Market Challenges
1.3.4 SQL In-Memory Database Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global SQL In-Memory Database Players Revenue Ranking (2023)
2.2 Global SQL In-Memory Database Revenue by Company (2019-2024)
2.3 Key Companies SQL In-Memory Database Manufacturing Base Distribution and Headquarters
2.4 Key Companies SQL In-Memory Database Product Offered
2.5 Key Companies Time to Begin Mass Production of SQL In-Memory Database
2.6 SQL In-Memory Database Market Competitive Analysis
2.6.1 SQL In-Memory Database Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by SQL In-Memory Database Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in SQL In-Memory Database as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Main Memory Database (MMDB)
3.1.2 Real-time Database (RTDB)
3.2 Global SQL In-Memory Database Sales Value by Type
3.2.1 Global SQL In-Memory Database Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global SQL In-Memory Database Sales Value, by Type (2019-2030)
3.2.3 Global SQL In-Memory Database Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Transaction
4.1.2 Reporting
4.1.3 Analytics
4.2 Global SQL In-Memory Database Sales Value by Application
4.2.1 Global SQL In-Memory Database Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global SQL In-Memory Database Sales Value, by Application (2019-2030)
4.2.3 Global SQL In-Memory Database Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global SQL In-Memory Database Sales Value by Region
5.1.1 Global SQL In-Memory Database Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global SQL In-Memory Database Sales Value by Region (2019-2024)
5.1.3 Global SQL In-Memory Database Sales Value by Region (2025-2030)
5.1.4 Global SQL In-Memory Database Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America SQL In-Memory Database Sales Value, 2019-2030
5.2.2 North America SQL In-Memory Database Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe SQL In-Memory Database Sales Value, 2019-2030
5.3.2 Europe SQL In-Memory Database Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific SQL In-Memory Database Sales Value, 2019-2030
5.4.2 Asia Pacific SQL In-Memory Database Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America SQL In-Memory Database Sales Value, 2019-2030
5.5.2 South America SQL In-Memory Database Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa SQL In-Memory Database Sales Value, 2019-2030
5.6.2 Middle East & Africa SQL In-Memory Database Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions SQL In-Memory Database Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions SQL In-Memory Database Sales Value
6.3 United States
6.3.1 United States SQL In-Memory Database Sales Value, 2019-2030
6.3.2 United States SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.3.3 United States SQL In-Memory Database Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe SQL In-Memory Database Sales Value, 2019-2030
6.4.2 Europe SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe SQL In-Memory Database Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China SQL In-Memory Database Sales Value, 2019-2030
6.5.2 China SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.5.3 China SQL In-Memory Database Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan SQL In-Memory Database Sales Value, 2019-2030
6.6.2 Japan SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan SQL In-Memory Database Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea SQL In-Memory Database Sales Value, 2019-2030
6.7.2 South Korea SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea SQL In-Memory Database Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia SQL In-Memory Database Sales Value, 2019-2030
6.8.2 Southeast Asia SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia SQL In-Memory Database Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India SQL In-Memory Database Sales Value, 2019-2030
6.9.2 India SQL In-Memory Database Sales Value by Type (%), 2023 VS 2030
6.9.3 India SQL In-Memory Database Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 MicrosoftCorporation
7.1.1 MicrosoftCorporation Profile
7.1.2 MicrosoftCorporation Main Business
7.1.3 MicrosoftCorporation SQL In-Memory Database Products, Services and Solutions
7.1.4 MicrosoftCorporation SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.1.5 MicrosoftCorporation Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM SQL In-Memory Database Products, Services and Solutions
7.2.4 IBM SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Oracle
7.3.1 Oracle Profile
7.3.2 Oracle Main Business
7.3.3 Oracle SQL In-Memory Database Products, Services and Solutions
7.3.4 Oracle SQL In-Memory Database 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 SQL In-Memory Database Products, Services and Solutions
7.4.4 SAP SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.4.5 SAP Recent Developments
7.5 Teradata
7.5.1 Teradata Profile
7.5.2 Teradata Main Business
7.5.3 Teradata SQL In-Memory Database Products, Services and Solutions
7.5.4 Teradata SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.5.5 Teradata Recent Developments
7.6 Amazon
7.6.1 Amazon Profile
7.6.2 Amazon Main Business
7.6.3 Amazon SQL In-Memory Database Products, Services and Solutions
7.6.4 Amazon SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.6.5 Amazon Recent Developments
7.7 Tableau
7.7.1 Tableau Profile
7.7.2 Tableau Main Business
7.7.3 Tableau SQL In-Memory Database Products, Services and Solutions
7.7.4 Tableau SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.7.5 Tableau Recent Developments
7.8 McObject
7.8.1 McObject Profile
7.8.2 McObject Main Business
7.8.3 McObject SQL In-Memory Database Products, Services and Solutions
7.8.4 McObject SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.8.5 McObject Recent Developments
7.9 Altibase
7.9.1 Altibase Profile
7.9.2 Altibase Main Business
7.9.3 Altibase SQL In-Memory Database Products, Services and Solutions
7.9.4 Altibase SQL In-Memory Database Revenue (US$ Million) & (2019-2024)
7.9.5 Altibase Recent Developments
8 Industry Chain Analysis
8.1 SQL In-Memory Database Industrial Chain
8.2 SQL In-Memory Database 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 SQL In-Memory Database Sales Model
8.5.2 Sales Channel
8.5.3 SQL In-Memory Database 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:

MicrosoftCorporation
IBM
Oracle
SAP
Teradata
Amazon
Tableau
McObject
Altibase

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