The cloud database and DBaaS market size was estimated at US$ 15.08 billion in 2022 it is predicted to grow at a CAGR of 16.32% from 2023 to 2032 to reach around US$ 68.38 billion by the end of 2032.
The cloud database and DBaaS market report offers an exclusive study of the present state expected at the market dynamics, opportunities, market scheme, growth analysis and regional outlook. The report presents energetic visions to conclude and study the market size, market aspiration, and competitive environment. The research also focuses on the important achievements of the market, research & development, and regional (country by country) growth of the leading vendors operating in the market
The study offers intricate dynamics about different aspects of the global cloud database and DBaaS market, which aids companies operating in the market in making strategies development decisions. The study also elaborates on remarkable changes that are highly anticipated to configure growth of the global cloud database and DBaaS market during the forecast period. It also includes a key indicator analysis that highlights growth prospects of this market and approximate statistics related to growth of the market in terms of value (US$ Bn) and volume (tons).
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Report Scope of the Cloud Database And DBaaS Market
| Report Coverage | Details |
| Revenue Share of North America in 2022 | 35.16% |
| CAGR of Asia Pacific | 19.32% |
| Revenue Forecast by 2032 | USD 68.38 billion |
| Growth Rate from 2023 to 2032 | CAGR of 16.32% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Companies Covered | Google LLC; Nutanix; Oracle Corp.; IBM Corp.; SAP SE; Amazon Web Services, Inc.; Alibaba Cloud; MongoDB, Inc.; Microsoft Corp.; Teradata; Ninox Software GmbH; DataStax |
This study covers an elaborate segmentation of the global cloud database and DBaaS market, along with important information and a competition outlook. The report mentions company profiles of players that are currently influence the global cloud database and DBaaS market, wherein various developments, expansions, and winning strategies practiced and execute by leading players have been presented in detail.
Cloud Database And DBaaS Market Segmentations:
By Component
- Solution
- Database Management
- Storage
- Service
- Professional Services
- Managed Services
By Database Type
- NoSQL
- Relational Database
By Deployment
- Public
- Private
- Hybrid
By Enterprise Size
- Large Size Enterprises
- Small and Medium Sized Enterprises (SMEs)
By End-use Industry
- IT & Telecommunications
- BFSI
- Healthcare
- Government & Public Sector
- Manufacturing
- Automotive
- Retail & Consumer Goods
- Media & Entertainment
- Others
By Regional
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Italy
- Sweden
- Finland
- Netherlands
- Finland
- Asia Pacific
- China
- India
- Japan
- Australia
- Singapore
- Latin America
- Brazil
- Mexico
- Chile
- Argentina
- Middle East & Africa
- UAE
- Saudi Arabia
- South Africa
Research Methodology
The research methodology acquire by analysts for assemble the global cloud database and DBaaS market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts study numerous annual report declaration, white papers, market association declaration, and company websites to obtain the necessary understanding of the global cloud database and DBaaS market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Cloud Database And DBaaS Market
5.1. COVID-19 Landscape: Cloud Database And DBaaS Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Cloud Database And DBaaS Market, By Component
8.1. Cloud Database And DBaaS Market, by Component, 2023-2032
8.1.1. Solution
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Service
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Cloud Database And DBaaS Market, By Database Type
9.1. Cloud Database And DBaaS Market, by Database Type, 2023-2032
9.1.1. NoSQL
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Relational Database
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Cloud Database And DBaaS Market, By Deployment
10.1. Cloud Database And DBaaS Market, by Deployment, 2023-2032
10.1.1. Public
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Private
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Hybrid
10.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Cloud Database And DBaaS Market, By Enterprise Size
11.1. Cloud Database And DBaaS Market, by Enterprise Size, 2023-2032
11.1.1. Large Size Enterprises
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Small and Medium Sized Enterprises (SMEs)
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Cloud Database And DBaaS Market, By End-use Industry
12.1. Cloud Database And DBaaS Market, by End-use Industry, 2023-2032
12.1.1. IT & Telecommunications
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. BFSI
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Healthcare
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Government & Public Sector
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Manufacturing
12.1.5.1. Market Revenue and Forecast (2020-2032)
12.1.6. Automotive
12.1.6.1. Market Revenue and Forecast (2020-2032)
12.1.7. Retail & Consumer Goods
12.1.7.1. Market Revenue and Forecast (2020-2032)
12.1.8. Media & Entertainment
12.1.8.1. Market Revenue and Forecast (2020-2032)
12.1.9. Others
12.1.9.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Cloud Database And DBaaS Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.1.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.1.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.1.7. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.1.8. Rest of North America
13.1.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.8.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.1.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.1.8.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.2.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.2.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.7. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.2.8. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.10. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.2.11. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.2.13. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.2.15. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.3.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.3.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.3.7. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.3.9. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.3.10.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.3.11.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.4.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.4.7. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.4.9. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.4.10.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.4.11.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.5.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.5.7. Market Revenue and Forecast, by End-use Industry (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Database Type (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)
13.5.8.5. Market Revenue and Forecast, by End-use Industry (2020-2032)
Chapter 14. Company Profiles
14.1. Google LLC
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. Nutanix
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Oracle Corp.
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. IBM Corp.
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. SAP SE
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Amazon Web Services, Inc.
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. Alibaba Cloud
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. MongoDB, Inc.
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. Microsoft Corp.
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. Teradata
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
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