Cloud native database is a database service built, deployed and delivered through cloud platform. It usually hides the underlying details of the database in the form of DBaaS (Database-as-a-Service) and provides users with an elastically scalable and highly available database. , highly reliable database service that can be accessed anytime and anywhere. It represents the development trend of databases. The advantages of cloud-native databases, coupled with the efficiency of distributed databases, represent the ideal solution for the future.
The global Cloud Native Database market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.
Cloud native technology promotes microservice architecture and separation of storage and computing, providing enterprises with efficient and flexible data management solutions. At the same time, through cloud-neutral strategies, it reduces reliance on a single cloud service and enhances market competition and cost efficiency. At the industrial development level, the core of making full use of the advantages of cloud computing lies in pure cloud native technology. Through microservice architecture to achieve rapid and continuous iteration, cloud native technology highlights its advantages with lower cost and higher efficiency. After all, competition boils down to efficiency, and high efficiency directly translates into economic benefits, allowing enterprises to compete in fierce price competition. have an advantage. At the business model level, cloud native technology breaks through the integration model of computing and data storage through the separation of computing and storage. This decoupling not only supports diverse structured and semi-structured data processing, but also significantly increases the flexibility and scalability of the system.
This report is a detailed and comprehensive analysis for global Cloud Native Database market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global Cloud Native Database market size and forecasts, in consumption value ($ Million), 2019-2030
Global Cloud Native Database market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global Cloud Native Database market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global Cloud Native Database market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Cloud Native Database
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Cloud Native Database market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Amazon Web Services, Tencent Cloud, Alibaba Cloud, Google Cloud, Microsoft Azure, Huawei Cloud, IBM Cloud, VMware, MongoDB, Cockroach Labs, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Cloud Native Database market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segmentation
Cloud Native Database market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
Relational Database
noSQL Database
麻豆原创 segment by Application
Medical Biology
Smart Transportation
Industrial Internet
Logistics
Telecom Operators
Others
麻豆原创 segment by players, this report covers
Amazon Web Services
Tencent Cloud
Alibaba Cloud
Google Cloud
Microsoft Azure
Huawei Cloud
IBM Cloud
VMware
MongoDB
Cockroach Labs
Yugabyte
ScyllaDB Inc
Couchbase
PingCAP
OceanBase
KaiwuDB
Cloud-ark
Volcengine
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Cloud Native Database product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Cloud Native Database, with revenue, gross margin, and global market share of Cloud Native Database from 2019 to 2024.
Chapter 3, the Cloud Native Database competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Cloud Native Database market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Cloud Native Database.
Chapter 13, to describe Cloud Native Database research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Cloud Native Database by Type
1.3.1 Overview: Global Cloud Native Database 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Cloud Native Database Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 Relational Database
1.3.4 noSQL Database
1.4 Global Cloud Native Database 麻豆原创 by Application
1.4.1 Overview: Global Cloud Native Database 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Medical Biology
1.4.3 Smart Transportation
1.4.4 Industrial Internet
1.4.5 Logistics
1.4.6 Telecom Operators
1.4.7 Others
1.5 Global Cloud Native Database 麻豆原创 Size & Forecast
1.6 Global Cloud Native Database 麻豆原创 Size and Forecast by Region
1.6.1 Global Cloud Native Database 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Cloud Native Database 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Cloud Native Database 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Cloud Native Database 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Cloud Native Database 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Cloud Native Database 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East & Africa Cloud Native Database 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 Amazon Web Services
2.1.1 Amazon Web Services Details
2.1.2 Amazon Web Services Major Business
2.1.3 Amazon Web Services Cloud Native Database Product and Solutions
2.1.4 Amazon Web Services Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Amazon Web Services Recent Developments and Future Plans
2.2 Tencent Cloud
2.2.1 Tencent Cloud Details
2.2.2 Tencent Cloud Major Business
2.2.3 Tencent Cloud Cloud Native Database Product and Solutions
2.2.4 Tencent Cloud Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Tencent Cloud Recent Developments and Future Plans
2.3 Alibaba Cloud
2.3.1 Alibaba Cloud Details
2.3.2 Alibaba Cloud Major Business
2.3.3 Alibaba Cloud Cloud Native Database Product and Solutions
2.3.4 Alibaba Cloud Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Alibaba Cloud Recent Developments and Future Plans
2.4 Google Cloud
2.4.1 Google Cloud Details
2.4.2 Google Cloud Major Business
2.4.3 Google Cloud Cloud Native Database Product and Solutions
2.4.4 Google Cloud Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Google Cloud Recent Developments and Future Plans
2.5 Microsoft Azure
2.5.1 Microsoft Azure Details
2.5.2 Microsoft Azure Major Business
2.5.3 Microsoft Azure Cloud Native Database Product and Solutions
2.5.4 Microsoft Azure Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Microsoft Azure Recent Developments and Future Plans
2.6 Huawei Cloud
2.6.1 Huawei Cloud Details
2.6.2 Huawei Cloud Major Business
2.6.3 Huawei Cloud Cloud Native Database Product and Solutions
2.6.4 Huawei Cloud Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Huawei Cloud Recent Developments and Future Plans
2.7 IBM Cloud
2.7.1 IBM Cloud Details
2.7.2 IBM Cloud Major Business
2.7.3 IBM Cloud Cloud Native Database Product and Solutions
2.7.4 IBM Cloud Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 IBM Cloud Recent Developments and Future Plans
2.8 VMware
2.8.1 VMware Details
2.8.2 VMware Major Business
2.8.3 VMware Cloud Native Database Product and Solutions
2.8.4 VMware Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 VMware Recent Developments and Future Plans
2.9 MongoDB
2.9.1 MongoDB Details
2.9.2 MongoDB Major Business
2.9.3 MongoDB Cloud Native Database Product and Solutions
2.9.4 MongoDB Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 MongoDB Recent Developments and Future Plans
2.10 Cockroach Labs
2.10.1 Cockroach Labs Details
2.10.2 Cockroach Labs Major Business
2.10.3 Cockroach Labs Cloud Native Database Product and Solutions
2.10.4 Cockroach Labs Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Cockroach Labs Recent Developments and Future Plans
2.11 Yugabyte
2.11.1 Yugabyte Details
2.11.2 Yugabyte Major Business
2.11.3 Yugabyte Cloud Native Database Product and Solutions
2.11.4 Yugabyte Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Yugabyte Recent Developments and Future Plans
2.12 ScyllaDB Inc
2.12.1 ScyllaDB Inc Details
2.12.2 ScyllaDB Inc Major Business
2.12.3 ScyllaDB Inc Cloud Native Database Product and Solutions
2.12.4 ScyllaDB Inc Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.12.5 ScyllaDB Inc Recent Developments and Future Plans
2.13 Couchbase
2.13.1 Couchbase Details
2.13.2 Couchbase Major Business
2.13.3 Couchbase Cloud Native Database Product and Solutions
2.13.4 Couchbase Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.13.5 Couchbase Recent Developments and Future Plans
2.14 PingCAP
2.14.1 PingCAP Details
2.14.2 PingCAP Major Business
2.14.3 PingCAP Cloud Native Database Product and Solutions
2.14.4 PingCAP Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.14.5 PingCAP Recent Developments and Future Plans
2.15 OceanBase
2.15.1 OceanBase Details
2.15.2 OceanBase Major Business
2.15.3 OceanBase Cloud Native Database Product and Solutions
2.15.4 OceanBase Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.15.5 OceanBase Recent Developments and Future Plans
2.16 KaiwuDB
2.16.1 KaiwuDB Details
2.16.2 KaiwuDB Major Business
2.16.3 KaiwuDB Cloud Native Database Product and Solutions
2.16.4 KaiwuDB Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.16.5 KaiwuDB Recent Developments and Future Plans
2.17 Cloud-ark
2.17.1 Cloud-ark Details
2.17.2 Cloud-ark Major Business
2.17.3 Cloud-ark Cloud Native Database Product and Solutions
2.17.4 Cloud-ark Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.17.5 Cloud-ark Recent Developments and Future Plans
2.18 Volcengine
2.18.1 Volcengine Details
2.18.2 Volcengine Major Business
2.18.3 Volcengine Cloud Native Database Product and Solutions
2.18.4 Volcengine Cloud Native Database Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.18.5 Volcengine Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Cloud Native Database Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Cloud Native Database by Company Revenue
3.2.2 Top 3 Cloud Native Database Players 麻豆原创 Share in 2023
3.2.3 Top 6 Cloud Native Database Players 麻豆原创 Share in 2023
3.3 Cloud Native Database 麻豆原创: Overall Company Footprint Analysis
3.3.1 Cloud Native Database 麻豆原创: Region Footprint
3.3.2 Cloud Native Database 麻豆原创: Company Product Type Footprint
3.3.3 Cloud Native Database 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Cloud Native Database Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Cloud Native Database 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Cloud Native Database Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Cloud Native Database 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Cloud Native Database Consumption Value by Type (2019-2030)
6.2 North America Cloud Native Database 麻豆原创 Size by Application (2019-2030)
6.3 North America Cloud Native Database 麻豆原创 Size by Country
6.3.1 North America Cloud Native Database Consumption Value by Country (2019-2030)
6.3.2 United States Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Cloud Native Database Consumption Value by Type (2019-2030)
7.2 Europe Cloud Native Database Consumption Value by Application (2019-2030)
7.3 Europe Cloud Native Database 麻豆原创 Size by Country
7.3.1 Europe Cloud Native Database Consumption Value by Country (2019-2030)
7.3.2 Germany Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Cloud Native Database Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Cloud Native Database Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Cloud Native Database 麻豆原创 Size by Region
8.3.1 Asia-Pacific Cloud Native Database Consumption Value by Region (2019-2030)
8.3.2 China Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Cloud Native Database Consumption Value by Type (2019-2030)
9.2 South America Cloud Native Database Consumption Value by Application (2019-2030)
9.3 South America Cloud Native Database 麻豆原创 Size by Country
9.3.1 South America Cloud Native Database Consumption Value by Country (2019-2030)
9.3.2 Brazil Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Cloud Native Database Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Cloud Native Database Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Cloud Native Database 麻豆原创 Size by Country
10.3.1 Middle East & Africa Cloud Native Database Consumption Value by Country (2019-2030)
10.3.2 Turkey Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Cloud Native Database 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Cloud Native Database 麻豆原创 Drivers
11.2 Cloud Native Database 麻豆原创 Restraints
11.3 Cloud Native Database Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Cloud Native Database Industry Chain
12.2 Cloud Native Database Upstream Analysis
12.3 Cloud Native Database Midstream Analysis
12.4 Cloud Native Database Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Amazon Web Services
Tencent Cloud
Alibaba Cloud
Google Cloud
Microsoft Azure
Huawei Cloud
IBM Cloud
VMware
MongoDB
Cockroach Labs
Yugabyte
ScyllaDB Inc
Couchbase
PingCAP
OceanBase
KaiwuDB
Cloud-ark
Volcengine
听
听
*If Applicable.