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Non-relational SQL-Global Market Insights and Sales Trends 2025
Synopsis
The NoSQL Market (Not Only SQL) is a database mechanism developed for storage, analysis and access of large volume of unstructured data.
The global Non-relational SQL market size is expected to reach US$ 13570 million by 2029, growing at a CAGR of 28.1% from 2023 to 2029. The market is mainly driven by the significant applications of Non-relational SQL in various end use industries. The expanding demands from the Data Storage, Metadata Store, Cache Memory and Distributed Data Depository, are propelling Non-relational SQL market. Key-Value Store, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Document Databases segment is estimated at % CAGR for the next seven-year period.
The NoSQL market share would rise rapidly owing to growing adoption of advanced database solutions to support explosively increased business data, especially, in social networks, retail, e-commerce, etc.
North America will be a prominent destination for market players during the forecast period, owing to the growing adoption of IT across different industries and increasing access to the internet. The rising emphasis on social media management is another factor supplementing the growth of the region.
Asia Pacific is anticipated to rise at a noteworthy CAGR during the same period. The increasing adoption of NoSQL in the region can be attributed to the rising penetration of web applications and booming e-commerce sector.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Non-relational SQL, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Non-relational SQL market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Non-relational SQL market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Non-relational SQL sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Non-relational SQL covered in this report include Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, MongoLab, MarkLogic, Couchbase and CloudDB, etc.
The global Non-relational SQL market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Microsoft SQL Server
MySQL
MongoDB
PostgreSQL
Oracle Database
MongoLab
MarkLogic
Couchbase
CloudDB
DynamoDB
Basho Technologies
Aerospike
IBM
Neo
Hypertable
Cisco
Objectivity
Global Non-relational SQL market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Non-relational SQL market, Segment by Type:
Key-Value Store
Document Databases
Column Based Stores
Graph Database
Global Non-relational SQL market, by Application
Data Storage
Metadata Store
Cache Memory
Distributed Data Depository
e-Commerce
Mobile Apps
Web Applications
Data Analytics
Social Networking
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Non-relational SQL companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
The NoSQL Market (Not Only SQL) is a database mechanism developed for storage, analysis and access of large volume of unstructured data.
The global Non-relational SQL market size is expected to reach US$ 13570 million by 2029, growing at a CAGR of 28.1% from 2023 to 2029. The market is mainly driven by the significant applications of Non-relational SQL in various end use industries. The expanding demands from the Data Storage, Metadata Store, Cache Memory and Distributed Data Depository, are propelling Non-relational SQL market. Key-Value Store, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Document Databases segment is estimated at % CAGR for the next seven-year period.
The NoSQL market share would rise rapidly owing to growing adoption of advanced database solutions to support explosively increased business data, especially, in social networks, retail, e-commerce, etc.
North America will be a prominent destination for market players during the forecast period, owing to the growing adoption of IT across different industries and increasing access to the internet. The rising emphasis on social media management is another factor supplementing the growth of the region.
Asia Pacific is anticipated to rise at a noteworthy CAGR during the same period. The increasing adoption of NoSQL in the region can be attributed to the rising penetration of web applications and booming e-commerce sector.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Non-relational SQL, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Non-relational SQL market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Non-relational SQL market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Non-relational SQL sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Non-relational SQL covered in this report include Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, MongoLab, MarkLogic, Couchbase and CloudDB, etc.
The global Non-relational SQL market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Microsoft SQL Server
MySQL
MongoDB
PostgreSQL
Oracle Database
MongoLab
MarkLogic
Couchbase
CloudDB
DynamoDB
Basho Technologies
Aerospike
IBM
Neo
Hypertable
Cisco
Objectivity
Global Non-relational SQL market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Non-relational SQL market, Segment by Type:
Key-Value Store
Document Databases
Column Based Stores
Graph Database
Global Non-relational SQL market, by Application
Data Storage
Metadata Store
Cache Memory
Distributed Data Depository
e-Commerce
Mobile Apps
Web Applications
Data Analytics
Social Networking
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Non-relational SQL companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Non-relational SQL
1.1 Non-relational SQL Market Overview
1.1.1 Non-relational SQL Product Scope
1.1.2 Non-relational SQL Market Status and Outlook
1.2 Global Non-relational SQL Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Non-relational SQL Market Size by Region (2018-2029)
1.4 Global Non-relational SQL Historic Market Size by Region (2018-2023)
1.5 Global Non-relational SQL Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Non-relational SQL Market Size (2018-2029)
1.6.1 North America Non-relational SQL Market Size (2018-2029)
1.6.2 Europe Non-relational SQL Market Size (2018-2029)
1.6.3 Asia-Pacific Non-relational SQL Market Size (2018-2029)
1.6.4 Latin America Non-relational SQL Market Size (2018-2029)
1.6.5 Middle East & Africa Non-relational SQL Market Size (2018-2029)
2 Non-relational SQL Market by Type
2.1 Introduction
2.1.1 Key-Value Store
2.1.2 Document Databases
2.1.3 Column Based Stores
2.1.4 Graph Database
2.2 Global Non-relational SQL Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Non-relational SQL Historic Market Size by Type (2018-2023)
2.2.2 Global Non-relational SQL Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Non-relational SQL Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Non-relational SQL Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Non-relational SQL Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Non-relational SQL Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Non-relational SQL Revenue Breakdown by Type (2018-2029)
3 Non-relational SQL Market Overview by Application
3.1 Introduction
3.1.1 Data Storage
3.1.2 Metadata Store
3.1.3 Cache Memory
3.1.4 Distributed Data Depository
3.1.5 e-Commerce
3.1.6 Mobile Apps
3.1.7 Web Applications
3.1.8 Data Analytics
3.1.9 Social Networking
3.2 Global Non-relational SQL Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Non-relational SQL Historic Market Size by Application (2018-2023)
3.2.2 Global Non-relational SQL Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Non-relational SQL Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Non-relational SQL Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Non-relational SQL Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Non-relational SQL Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Non-relational SQL Revenue Breakdown by Application (2018-2029)
4 Non-relational SQL Competition Analysis by Players
4.1 Global Non-relational SQL Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Non-relational SQL as of 2022)
4.3 Date of Key Players Enter into Non-relational SQL Market
4.4 Global Top Players Non-relational SQL Headquarters and Area Served
4.5 Key Players Non-relational SQL Product Solution and Service
4.6 Competitive Status
4.6.1 Non-relational SQL Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Microsoft SQL Server
5.1.1 Microsoft SQL Server Profile
5.1.2 Microsoft SQL Server Main Business
5.1.3 Microsoft SQL Server Non-relational SQL Products, Services and Solutions
5.1.4 Microsoft SQL Server Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.1.5 Microsoft SQL Server Recent Developments
5.2 MySQL
5.2.1 MySQL Profile
5.2.2 MySQL Main Business
5.2.3 MySQL Non-relational SQL Products, Services and Solutions
5.2.4 MySQL Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.2.5 MySQL Recent Developments
5.3 MongoDB
5.3.1 MongoDB Profile
5.3.2 MongoDB Main Business
5.3.3 MongoDB Non-relational SQL Products, Services and Solutions
5.3.4 MongoDB Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.3.5 PostgreSQL Recent Developments
5.4 PostgreSQL
5.4.1 PostgreSQL Profile
5.4.2 PostgreSQL Main Business
5.4.3 PostgreSQL Non-relational SQL Products, Services and Solutions
5.4.4 PostgreSQL Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.4.5 PostgreSQL Recent Developments
5.5 Oracle Database
5.5.1 Oracle Database Profile
5.5.2 Oracle Database Main Business
5.5.3 Oracle Database Non-relational SQL Products, Services and Solutions
5.5.4 Oracle Database Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.5.5 Oracle Database Recent Developments
5.6 MongoLab
5.6.1 MongoLab Profile
5.6.2 MongoLab Main Business
5.6.3 MongoLab Non-relational SQL Products, Services and Solutions
5.6.4 MongoLab Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.6.5 MongoLab Recent Developments
5.7 MarkLogic
5.7.1 MarkLogic Profile
5.7.2 MarkLogic Main Business
5.7.3 MarkLogic Non-relational SQL Products, Services and Solutions
5.7.4 MarkLogic Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.7.5 MarkLogic Recent Developments
5.8 Couchbase
5.8.1 Couchbase Profile
5.8.2 Couchbase Main Business
5.8.3 Couchbase Non-relational SQL Products, Services and Solutions
5.8.4 Couchbase Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.8.5 Couchbase Recent Developments
5.9 CloudDB
5.9.1 CloudDB Profile
5.9.2 CloudDB Main Business
5.9.3 CloudDB Non-relational SQL Products, Services and Solutions
5.9.4 CloudDB Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.9.5 CloudDB Recent Developments
5.10 DynamoDB
5.10.1 DynamoDB Profile
5.10.2 DynamoDB Main Business
5.10.3 DynamoDB Non-relational SQL Products, Services and Solutions
5.10.4 DynamoDB Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.10.5 DynamoDB Recent Developments
5.11 Basho Technologies
5.11.1 Basho Technologies Profile
5.11.2 Basho Technologies Main Business
5.11.3 Basho Technologies Non-relational SQL Products, Services and Solutions
5.11.4 Basho Technologies Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.11.5 Basho Technologies Recent Developments
5.12 Aerospike
5.12.1 Aerospike Profile
5.12.2 Aerospike Main Business
5.12.3 Aerospike Non-relational SQL Products, Services and Solutions
5.12.4 Aerospike Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.12.5 Aerospike Recent Developments
5.13 IBM
5.13.1 IBM Profile
5.13.2 IBM Main Business
5.13.3 IBM Non-relational SQL Products, Services and Solutions
5.13.4 IBM Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.13.5 IBM Recent Developments
5.14 Neo
5.14.1 Neo Profile
5.14.2 Neo Main Business
5.14.3 Neo Non-relational SQL Products, Services and Solutions
5.14.4 Neo Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.14.5 Neo Recent Developments
5.15 Hypertable
5.15.1 Hypertable Profile
5.15.2 Hypertable Main Business
5.15.3 Hypertable Non-relational SQL Products, Services and Solutions
5.15.4 Hypertable Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.15.5 Hypertable Recent Developments
5.16 Cisco
5.16.1 Cisco Profile
5.16.2 Cisco Main Business
5.16.3 Cisco Non-relational SQL Products, Services and Solutions
5.16.4 Cisco Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.16.5 Cisco Recent Developments
5.17 Objectivity
5.17.1 Objectivity Profile
5.17.2 Objectivity Main Business
5.17.3 Objectivity Non-relational SQL Products, Services and Solutions
5.17.4 Objectivity Non-relational SQL Revenue (US$ Million) & (2018-2023)
5.17.5 Objectivity Recent Developments
6 North America
6.1 North America Non-relational SQL Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Non-relational SQL Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Non-relational SQL Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Non-relational SQL Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Non-relational SQL Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Non-relational SQL Market Dynamics
11.1 Non-relational SQL Industry Trends
11.2 Non-relational SQL Market Drivers
11.3 Non-relational SQL Market Challenges
11.4 Non-relational SQL Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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