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Global Database Engines Market Research Report 2024
Synopsis
Database Engine is the underlying software component that a database management system (DBMS) uses to create, read, update and delete (CRUD) data from a database.
The global Database Engines 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 Database Engines 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 Database Engines 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 Database Engines in Large Enterprises 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 Database Engines include Google, Oracle, Microsoft, MongoDB, IBM, Redis Labs, Percona and Facebook, 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 Database Engines, 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 Database Engines.
Report Scope
The Database Engines 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 Database Engines 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 Database Engines 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
Google
Oracle
Microsoft
MongoDB
IBM
Redis Labs
Percona
Facebook
Segment by Type
Storge Engine
Query Engine
Segment by Application
Large Enterprises
Small and Medium Sized Enterprises
Private
Others
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 Database Engines 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.
Database Engine is the underlying software component that a database management system (DBMS) uses to create, read, update and delete (CRUD) data from a database.
The global Database Engines 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 Database Engines 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 Database Engines 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 Database Engines in Large Enterprises 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 Database Engines include Google, Oracle, Microsoft, MongoDB, IBM, Redis Labs, Percona and Facebook, 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 Database Engines, 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 Database Engines.
Report Scope
The Database Engines 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 Database Engines 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 Database Engines 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
Oracle
Microsoft
MongoDB
IBM
Redis Labs
Percona
Segment by Type
Storge Engine
Query Engine
Segment by Application
Large Enterprises
Small and Medium Sized Enterprises
Private
Others
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 Database Engines 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 Database Engines Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Storge Engine
1.2.3 Query Engine
1.3 Market by Application
1.3.1 Global Database Engines Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 Small and Medium Sized Enterprises
1.3.4 Private
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Database Engines Market Perspective (2019-2030)
2.2 Database Engines Growth Trends by Region
2.2.1 Global Database Engines Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Database Engines Historic Market Size by Region (2019-2024)
2.2.3 Database Engines Forecasted Market Size by Region (2025-2030)
2.3 Database Engines Market Dynamics
2.3.1 Database Engines Industry Trends
2.3.2 Database Engines Market Drivers
2.3.3 Database Engines Market Challenges
2.3.4 Database Engines Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Database Engines Players by Revenue
3.1.1 Global Top Database Engines Players by Revenue (2019-2024)
3.1.2 Global Database Engines Revenue Market Share by Players (2019-2024)
3.2 Global Database Engines Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Database Engines Revenue
3.4 Global Database Engines Market Concentration Ratio
3.4.1 Global Database Engines Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Database Engines Revenue in 2023
3.5 Database Engines Key Players Head office and Area Served
3.6 Key Players Database Engines Product Solution and Service
3.7 Date of Enter into Database Engines Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Database Engines Breakdown Data by Type
4.1 Global Database Engines Historic Market Size by Type (2019-2024)
4.2 Global Database Engines Forecasted Market Size by Type (2025-2030)
5 Database Engines Breakdown Data by Application
5.1 Global Database Engines Historic Market Size by Application (2019-2024)
5.2 Global Database Engines Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Database Engines Market Size (2019-2030)
6.2 North America Database Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Database Engines Market Size by Country (2019-2024)
6.4 North America Database Engines Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Database Engines Market Size (2019-2030)
7.2 Europe Database Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Database Engines Market Size by Country (2019-2024)
7.4 Europe Database Engines 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 Database Engines Market Size (2019-2030)
8.2 Asia-Pacific Database Engines Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Database Engines Market Size by Region (2019-2024)
8.4 Asia-Pacific Database Engines 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 Database Engines Market Size (2019-2030)
9.2 Latin America Database Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Database Engines Market Size by Country (2019-2024)
9.4 Latin America Database Engines Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Database Engines Market Size (2019-2030)
10.2 Middle East & Africa Database Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Database Engines Market Size by Country (2019-2024)
10.4 Middle East & Africa Database Engines Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Database Engines Introduction
11.1.4 Google Revenue in Database Engines Business (2019-2024)
11.1.5 Google Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Database Engines Introduction
11.2.4 Oracle Revenue in Database Engines Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Database Engines Introduction
11.3.4 Microsoft Revenue in Database Engines Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 MongoDB
11.4.1 MongoDB Company Detail
11.4.2 MongoDB Business Overview
11.4.3 MongoDB Database Engines Introduction
11.4.4 MongoDB Revenue in Database Engines Business (2019-2024)
11.4.5 MongoDB Recent Development
11.5 IBM
11.5.1 IBM Company Detail
11.5.2 IBM Business Overview
11.5.3 IBM Database Engines Introduction
11.5.4 IBM Revenue in Database Engines Business (2019-2024)
11.5.5 IBM Recent Development
11.6 Redis Labs
11.6.1 Redis Labs Company Detail
11.6.2 Redis Labs Business Overview
11.6.3 Redis Labs Database Engines Introduction
11.6.4 Redis Labs Revenue in Database Engines Business (2019-2024)
11.6.5 Redis Labs Recent Development
11.7 Percona
11.7.1 Percona Company Detail
11.7.2 Percona Business Overview
11.7.3 Percona Database Engines Introduction
11.7.4 Percona Revenue in Database Engines Business (2019-2024)
11.7.5 Percona Recent Development
11.8 Facebook
11.8.1 Facebook Company Detail
11.8.2 Facebook Business Overview
11.8.3 Facebook Database Engines Introduction
11.8.4 Facebook Revenue in Database Engines Business (2019-2024)
11.8.5 Facebook 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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