Global Cloud-based Database Sales 麻豆原创 Report, Competitive Analysis and Regional Opportunities 2025-2031

Publication ID:

PB504253553

Publication Date:

April 3, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 4,250.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Cloud-based Database market size was US$ 45740 million in 2024 and is forecast to a readjusted size of US$ 890470 million by 2031 with a CAGR of 53.6% during the forecast period 2025-2031.
A cloud-based database is a database, as the name suggests, resides on a cloud computing platform. Databases are used to store and manage various forms of data generated by a company. Database services can be provided on-premises or on-demand. On-demand services are known as cloud-based databases, which is gaining increasing acceptance among several organizations. A cloud-based database is suitable for organizations that require immediate access to database services, easy scalability options, low cost, and low maintenance. Service providers offer end-to-end solutions, which help organizations focus on their core business areas.

The cloud database solutions have empowered organizations to focus on their core business competencies by relying on the cloud resources completely. Various cloud databases are becoming relevant as they improve the overall efficiency of the client offerings and reduce the support and maintenance considerably, giving almost total control of operations over the data which is stored.
North America is the largest region of Cloud-based Database, with a market share about 35%. It was followed by Europe with 25%. Amazon Web Services, Google, IBM, Microsoft and Oracle are the top 5 manufacturers of industry, and they had about 65% combined market share.
The global Cloud-based Database market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
麻豆原创 Segmentation
By Company:
Amazon Web Services
Google
IBM
Microsoft
Oracle
Rackspace Hosting
Salesforce
Cassandra
Couchbase
MongoDB
SAP
Teradata
Alibaba
Tencent
By Type: (Dominant Segment vs High-Margin Innovation)
SQL Database
NoSQL Database
By Application: (Core Demand Driver vs Emerging Opportunity)
Small and Medium Business
Large Enterprises
By Region
Macro-Regional Analysis: 麻豆原创 Size & Growth Forecasts
- North America
- Europe
- Asia-Pacific
- South America
- Middle East & Africa
Micro-Local 麻豆原创 Deep Dive: Strategic Insights
- Competitive Landscape: Player dominance vs. disruptors (e.g., Amazon Web Services in Europe)
- Emerging Product Trends: SQL Database adoption vs. NoSQL Database premiumization
- Demand-Side Dynamics: Small and Medium Business growth in China vs. Large Enterprises potential in North America
- Localized Consumer Needs: Regulatory hurdles in EU vs. price sensitivity in India
Focus 麻豆原创s:
North America
Europe
China
Japan
Chapter Outline
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of Cloud-based Database market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis 鈥� Uncovering blue ocean markets (e.g., NoSQL Database in China).
Chapter 5: Application-based segmentation analysis 鈥� High-growth downstream opportunities (e.g., Large Enterprises in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles 鈥� Financials, product portfolios, and strategic developments.
Chapter 8: 麻豆原创 dynamics 鈥� Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
Why This Report?
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Cloud-based Database value chain, addressing:
- 麻豆原创 entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 by Type
1.2.1 Global 麻豆原创 Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 SQL Database
1.2.3 NoSQL Database
1.3 麻豆原创 by Application
1.3.1 Global 麻豆原创 Share by Application: 2020 VS 2024 VS 2031
1.3.2 Small and Medium Business
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Cloud-based Database 麻豆原创 Perspective (2020-2031)
2.2 Global 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.3 Global Cloud-based Database Revenue 麻豆原创 Share by Region (2020-2025)
2.4 Global Cloud-based Database Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging 麻豆原创 Analysis
2.5.1 North America Cloud-based Database 麻豆原创 Size and Prospective (2020-2031)
2.5.2 Europe Cloud-based Database 麻豆原创 Size and Prospective (2020-2031)
2.5.3 China Cloud-based Database 麻豆原创 Size and Prospective (2020-2031)
2.5.4 Japan Cloud-based Database 麻豆原创 Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global Cloud-based Database Historic 麻豆原创 Size by Type (2020-2025)
3.2 Global Cloud-based Database Forecasted 麻豆原创 Size by Type (2026-2031)
3.3 Different Types Cloud-based Database Representative Players
4 Breakdown Data by Application
4.1 Global Cloud-based Database Historic 麻豆原创 Size by Application (2020-2025)
4.2 Global Cloud-based Database Forecasted 麻豆原创 Size by Application (2026-2031)
4.3 New Sources of Growth in Cloud-based Database Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Cloud-based Database Players by Revenue (2020-2025)
5.1.2 Global Cloud-based Database Revenue 麻豆原创 Share by Players (2020-2025)
5.2 Global 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Cloud-based Database Revenue
5.4 Global Cloud-based Database 麻豆原创 Concentration Analysis
5.4.1 Global Cloud-based Database 麻豆原创 Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Cloud-based Database Revenue in 2024
5.5 Global Key Players of Cloud-based Database Head office and Area Served
5.6 Global Key Players of Cloud-based Database, Product and Application
5.7 Global Key Players of Cloud-based Database, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America 麻豆原创: Players, Segments and Downstream
6.1.1 North America Cloud-based Database Revenue by Company (2020-2025)
6.1.2 North America 麻豆原创 Size by Type
6.1.2.1 North America Cloud-based Database 麻豆原创 Size by Type (2020-2025)
6.1.2.2 North America Cloud-based Database 麻豆原创 Share by Type (2020-2025)
6.1.3 North America 麻豆原创 Size by Application
6.1.3.1 North America Cloud-based Database 麻豆原创 Size by Application (2020-2025)
6.1.3.2 North America Cloud-based Database 麻豆原创 Share by Application (2020-2025)
6.1.4 North America 麻豆原创 Trend and Opportunities
6.2 Europe 麻豆原创: Players, Segments and Downstream
6.2.1 Europe Cloud-based Database Revenue by Company (2020-2025)
6.2.2 Europe 麻豆原创 Size by Type
6.2.2.1 Europe Cloud-based Database 麻豆原创 Size by Type (2020-2025)
6.2.2.2 Europe Cloud-based Database 麻豆原创 Share by Type (2020-2025)
6.2.3 Europe 麻豆原创 Size by Application
6.2.3.1 Europe Cloud-based Database 麻豆原创 Size by Application (2020-2025)
6.2.3.2 Europe Cloud-based Database 麻豆原创 Share by Application (2020-2025)
6.2.4 Europe 麻豆原创 Trend and Opportunities
6.3 China 麻豆原创: Players, Segments and Downstream
6.3.1 China Cloud-based Database Revenue by Company (2020-2025)
6.3.2 China 麻豆原创 Size by Type
6.3.2.1 China Cloud-based Database 麻豆原创 Size by Type (2020-2025)
6.3.2.2 China Cloud-based Database 麻豆原创 Share by Type (2020-2025)
6.3.3 China 麻豆原创 Size by Application
6.3.3.1 China Cloud-based Database 麻豆原创 Size by Application (2020-2025)
6.3.3.2 China Cloud-based Database 麻豆原创 Share by Application (2020-2025)
6.3.4 China 麻豆原创 Trend and Opportunities
6.4 Japan 麻豆原创: Players, Segments and Downstream
6.4.1 Japan Cloud-based Database Revenue by Company (2020-2025)
6.4.2 Japan 麻豆原创 Size by Type
6.4.2.1 Japan Cloud-based Database 麻豆原创 Size by Type (2020-2025)
6.4.2.2 Japan Cloud-based Database 麻豆原创 Share by Type (2020-2025)
6.4.3 Japan 麻豆原创 Size by Application
6.4.3.1 Japan Cloud-based Database 麻豆原创 Size by Application (2020-2025)
6.4.3.2 Japan Cloud-based Database 麻豆原创 Share by Application (2020-2025)
6.4.4 Japan 麻豆原创 Trend and Opportunities
7 Key Players Profiles
7.1 Amazon Web Services
7.1.1 Amazon Web Services Company Details
7.1.2 Amazon Web Services Business Overview
7.1.3 Amazon Web Services Cloud-based Database Introduction
7.1.4 Amazon Web Services Revenue in Cloud-based Database Business (2020-2025)
7.1.5 Amazon Web Services Recent Development
7.2 Google
7.2.1 Google Company Details
7.2.2 Google Business Overview
7.2.3 Google Cloud-based Database Introduction
7.2.4 Google Revenue in Cloud-based Database Business (2020-2025)
7.2.5 Google Recent Development
7.3 IBM
7.3.1 IBM Company Details
7.3.2 IBM Business Overview
7.3.3 IBM Cloud-based Database Introduction
7.3.4 IBM Revenue in Cloud-based Database Business (2020-2025)
7.3.5 IBM Recent Development
7.4 Microsoft
7.4.1 Microsoft Company Details
7.4.2 Microsoft Business Overview
7.4.3 Microsoft Cloud-based Database Introduction
7.4.4 Microsoft Revenue in Cloud-based Database Business (2020-2025)
7.4.5 Microsoft Recent Development
7.5 Oracle
7.5.1 Oracle Company Details
7.5.2 Oracle Business Overview
7.5.3 Oracle Cloud-based Database Introduction
7.5.4 Oracle Revenue in Cloud-based Database Business (2020-2025)
7.5.5 Oracle Recent Development
7.6 Rackspace Hosting
7.6.1 Rackspace Hosting Company Details
7.6.2 Rackspace Hosting Business Overview
7.6.3 Rackspace Hosting Cloud-based Database Introduction
7.6.4 Rackspace Hosting Revenue in Cloud-based Database Business (2020-2025)
7.6.5 Rackspace Hosting Recent Development
7.7 Salesforce
7.7.1 Salesforce Company Details
7.7.2 Salesforce Business Overview
7.7.3 Salesforce Cloud-based Database Introduction
7.7.4 Salesforce Revenue in Cloud-based Database Business (2020-2025)
7.7.5 Salesforce Recent Development
7.8 Cassandra
7.8.1 Cassandra Company Details
7.8.2 Cassandra Business Overview
7.8.3 Cassandra Cloud-based Database Introduction
7.8.4 Cassandra Revenue in Cloud-based Database Business (2020-2025)
7.8.5 Cassandra Recent Development
7.9 Couchbase
7.9.1 Couchbase Company Details
7.9.2 Couchbase Business Overview
7.9.3 Couchbase Cloud-based Database Introduction
7.9.4 Couchbase Revenue in Cloud-based Database Business (2020-2025)
7.9.5 Couchbase Recent Development
7.10 MongoDB
7.10.1 MongoDB Company Details
7.10.2 MongoDB Business Overview
7.10.3 MongoDB Cloud-based Database Introduction
7.10.4 MongoDB Revenue in Cloud-based Database Business (2020-2025)
7.10.5 MongoDB Recent Development
7.11 SAP
7.11.1 SAP Company Details
7.11.2 SAP Business Overview
7.11.3 SAP Cloud-based Database Introduction
7.11.4 SAP Revenue in Cloud-based Database Business (2020-2025)
7.11.5 SAP Recent Development
7.12 Teradata
7.12.1 Teradata Company Details
7.12.2 Teradata Business Overview
7.12.3 Teradata Cloud-based Database Introduction
7.12.4 Teradata Revenue in Cloud-based Database Business (2020-2025)
7.12.5 Teradata Recent Development
7.13 Alibaba
7.13.1 Alibaba Company Details
7.13.2 Alibaba Business Overview
7.13.3 Alibaba Cloud-based Database Introduction
7.13.4 Alibaba Revenue in Cloud-based Database Business (2020-2025)
7.13.5 Alibaba Recent Development
7.14 Tencent
7.14.1 Tencent Company Details
7.14.2 Tencent Business Overview
7.14.3 Tencent Cloud-based Database Introduction
7.14.4 Tencent Revenue in Cloud-based Database Business (2020-2025)
7.14.5 Tencent Recent Development
8 Cloud-based Database 麻豆原创 Dynamics
8.1 Cloud-based Database Industry Trends
8.2 Cloud-based Database 麻豆原创 Drivers
8.3 Cloud-based Database 麻豆原创 Challenges
8.4 Cloud-based Database 麻豆原创 Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 麻豆原创 Size Estimation
10.1.1.3 麻豆原创 Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Amazon Web Services
Google
IBM
Microsoft
Oracle
Rackspace Hosting
Salesforce
Cassandra
Couchbase
MongoDB
SAP
Teradata
Alibaba
Tencent

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