The cloud database and DBaaS market size is projected to be valued at USD 18,611.2 million in 2023 and is expected to rise to USD 69,806.5 million by 2033. The sales of cloud databases and DBaaS are anticipated to expand at a significant CAGR of 14.1% during the forecast period. Various factors propelling the demand for Cloud Database and DBaaS market are discussed below.
In order to reduce the operational costs and enhance efficiency, companies in the sectors like healthcare, banking and insurance implement cloud databases and DBaaS solutions as these companies rely heavily on their websites. Meanwhile, industries such as social networking, online music and online gaming are attracting huge demand for cloud databases and DBaaS due to the large amount of data storing and downloading.
Cost savings, accessibility, upgrading, faultless incorporation, and leanness are all motivating firms to use cloud databases in their operations. This is anticipated to boost the sales of cloud databases and DBaaS during the forecast period.
| Attribute | Details |
|---|---|
| Cloud Database and DBaaS Market Estimated Size (2023) | USD 18,611.2 million |
| Cloud Database and DBaaS Market CAGR (2023 to 2033) | 14.1% |
| Cloud Database and DBaaS Market Forecasted Size (2033) | USD 69,806.5 million |
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Businesses are seeing an insane amount of demand for cloud databases and DBaaS due to heavy rise in data storage after the pandemic. Increasing number of people started visiting different online channels such as gaming sites, music among others. Hence, the market is likely to grow significantly.
In order to comprehend and handle the insights evaluated from massive datasets, the demand of cloud databases and DBaaS among businesses is increasing. These businesses are analyzing this data to earn competitive edge in the market. Cloud database and DBaaS fulfills the demand these businesses are looking for, increasing the demand of these solutions.
The demand for cloud databases and DBaaS is also growing as moving to the cloud reduces the cost of maintaining a sprawling, continually increasing database architecture.
Physical infrastructure expenditures become obsolete, and non-peak consumption hours can be scaled down effortlessly and economically. Due to these factors, the sales of cloud database and DBaaS is anticipated to rise, contributing to the overall growth of the cloud database and DBaaS market.
Cloud database providers' built-in security capabilities improve enterprise network security, which is a key factor propelling the demand for cloud database and DBaaS solutions during the forecast period. Default data encryption, integrated identity, access management controls, and regulatory compliance tools are a few other factors responsible for growing sales of cloud databases and DBaaS solutions.
The key advantage of moving to a cloud-based database architecture from a largely on-premises database solution for many enterprises is accessibility. This is anticipated to boost the global market for cloud databases and DBaaS as the global corporate sector rises from the pandemic of 2020 with a renewed focus on remote work arrangements.
Cloud databases and DBaaS can be scaled up or down based on actual usage, as opposed to purchasing physical database capacity in anticipation of future needs that may or may not arise.
The demand for cloud databases and DBaaS is increasing since these solutions are simple to set up and less expensive, allowing businesses to develop business continuity plans that can be implemented automatically in the case of a network failure.
The sales of cloud databases and DBaaS solutions are built with disaster recovery in mind. Data is replicated between servers, allowing businesses to access information instantly, decreasing downtime and productivity. These factors combined aid in the development of cloud databases and DBaaS market share.
The demand for cloud databases and DBaaS is rising as encrypted cloud databases are significant for distributed workforces, such as remote workers and worldwide enterprises with multiple locations. As a result, the sales of cloud databases and DBaaS solutions are likely to rise.
Public cloud segment hold 43.4% market share in the year 2022. Big Data as a Service (BDaaS) can be set up using a public cloud, private cloud, or hybrid cloud. A public cloud works like regular cloud computing, where a service provider offers resources like virtual machines (VMs), applications, and storage over the Internet. These services can be free or on a pay-per-use basis.
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The structured query language segment is anticipated to have a commanding share of 55.5% in the cloud databases and the DBaaS market.
For a long time, relational databases have dominated multiple verticals, providing varied mechanisms for data storage, concurrency control, and transaction. It has also provided standard interfaces for data and reporting integration. Structured Query Language is a relational database's application program interface (API) and standard user. The SQL database allows you to access managed relational databases on demand.
In the cloud database and Database-as-a-Service (DBaaS) market, solutions are offered as components that enable organizations to build and customize their database environments. These solutions provide specific functionalities and capabilities to enhance database management and operations.
The United Kingdom cloud database and DBaaS industry are helping to stabilize and see vital prospects thanks to important government regulations and funding to support research and development projects in the ICT industry.
Leading companies are investing hugely to incorporate AI into their products across a range of industries. These industries are telecommunications, consumer electronics, and automobiles, which are significant elements affecting sector sales.
The United States and Canada are likely to influence North America’s cloud databases and the DBaaS market with a CAGR of 13.8%. The region's businesses are the most forward-thinking in terms of AI, machine learning, and cloud adoption, propelling the cloud databases and DBaaS market's growth.
China is also anticipated to show promising growth potential in the cloud databases and DBaaS market. During the forecast period, China's cloud databases and DBaaS market is anticipated to expand steadily with a CAGR of 13.4%. Technological advancements and smooth government regulations in the region are likely to be the driving factors in the cloud databases and DBaaS market.
In India, the potential of cloud database and DBaaS is quite high as the market is growing rapidly at 15.4% CAGR. The country is developing rapidly in the market due to its growing IT industry, healthier business environment and increase in digitization. These factors have empowered the adoption of cloud-based database solutions.
The cloud database and database-as-a-service market is fragmented due to the presence of numerous solutions providers including global and regional companies. Hence, the companies in are working to grow their global footprint by making strategic partnerships, collaborations and product launches.
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| Attribute | Details |
|---|---|
| Growth Rate | CAGR of 14.1% from 2023 to 2033 |
| Base Year of Estimation | 2023 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in USD million and Volume in Units and F-CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, growth factors, Trends, and Pricing Analysis |
| Key Segments Covered | Database Type, Component, Service, Vertical, Organization Size, By Region |
| Regions Covered | North America; Latin America; Europe; East Asia; South Asia; The Middle East & Africa; Oceania |
| Key Countries Profiled | The United States, Canada, Brazil, Mexico, Germany, Italy, France, The United Kingdom, Spain, Russia, China, Japan, India, GCC Countries, Australia |
| Key Companies Profiled | Google LLC; Nutanix; Oracle Corporation; IBM Corporation; SAP SE; Amazon Web Services, Inc.; Alibaba Cloud; MongoDB, Inc.; Microsoft Corp.; Teradata; Ninox Software GmbH; DataStax |
| Customization & Pricing | Available upon Request |
The market is estimated to secure a valuation of USD 18,611.2 in 2023.
Google LLC, Nutanix, and Oracle Corporation are key Cloud Database and DBaaS market players.
The global market size is to reach USD 69,806.5 million by 2033.
The growth potential of the Cloud Database and DBaaS market is 14.1% through 2033.
Businesses in the region are exceptionally forward-thinking in terms of AI, machine learning, and cloud adoption, encouraging the growth of the cloud databases and DBaaS market.
The public cloud sector held a market share of about 43.4% in 2021.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Database Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Database Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Database Type, 2023 to 2033
5.3.1. Structured Query Language (SQL)
5.3.2. Not only Structured Query Language (NoSQL)
5.4. Y-o-Y Growth Trend Analysis By Database Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Database Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
6.3.1. Solution
6.3.2. Services
6.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Service
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Service , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Service , 2023 to 2033
7.3.1. Professional Services
7.3.2. Consulting
7.3.3. Implementation
7.3.4. Support and Maintenance
7.3.5. Managed Services
7.4. Y-o-Y Growth Trend Analysis By Service , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Service , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Model
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Deployment Model, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Model, 2023 to 2033
8.3.1. Public Cloud
8.3.2. Private Cloud
8.3.3. Hybrid Cloud
8.4. Y-o-Y Growth Trend Analysis By Deployment Model, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Deployment Model, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size
9.1. Introduction / Key Findings
9.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022
9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033
9.3.1. Large Enterprises
9.3.2. Small and Medium-sized Enterprises (SMEs)
9.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022
9.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
10.1. Introduction / Key Findings
10.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022
10.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033
10.3.1. BFSI
10.3.2. IT
10.3.3. Government
10.3.4. Consumer Goods and Retail
10.3.5. Manufacturing
10.3.6. Energy and Utilities
10.3.7. Media and Entertainment
10.3.8. Healthcare and Life Sciences
10.3.9. Others
10.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
10.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
11.1. Introduction
11.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
11.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
11.3.1. North America
11.3.2. Latin America
11.3.3. Europe
11.3.4. South Asia
11.3.5. East Asia
11.3.6. Oceania
11.3.7. MEA
11.4. Market Attractiveness Analysis By Region
12. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. The USA
12.2.1.2. Canada
12.2.2. By Database Type
12.2.3. By Component
12.2.4. By Service
12.2.5. By Deployment Model
12.2.6. By Organization Size
12.2.7. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Database Type
12.3.3. By Component
12.3.4. By Service
12.3.5. By Deployment Model
12.3.6. By Organization Size
12.3.7. By Vertical
12.4. Key Takeaways
13. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Brazil
13.2.1.2. Mexico
13.2.1.3. Rest of Latin America
13.2.2. By Database Type
13.2.3. By Component
13.2.4. By Service
13.2.5. By Deployment Model
13.2.6. By Organization Size
13.2.7. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Database Type
13.3.3. By Component
13.3.4. By Service
13.3.5. By Deployment Model
13.3.6. By Organization Size
13.3.7. By Vertical
13.4. Key Takeaways
14. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. Germany
14.2.1.2. United Kingdom
14.2.1.3. France
14.2.1.4. Spain
14.2.1.5. Italy
14.2.1.6. Rest of Europe
14.2.2. By Database Type
14.2.3. By Component
14.2.4. By Service
14.2.5. By Deployment Model
14.2.6. By Organization Size
14.2.7. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Database Type
14.3.3. By Component
14.3.4. By Service
14.3.5. By Deployment Model
14.3.6. By Organization Size
14.3.7. By Vertical
14.4. Key Takeaways
15. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. India
15.2.1.2. Malaysia
15.2.1.3. Singapore
15.2.1.4. Thailand
15.2.1.5. Rest of South Asia
15.2.2. By Database Type
15.2.3. By Component
15.2.4. By Service
15.2.5. By Deployment Model
15.2.6. By Organization Size
15.2.7. By Vertical
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Database Type
15.3.3. By Component
15.3.4. By Service
15.3.5. By Deployment Model
15.3.6. By Organization Size
15.3.7. By Vertical
15.4. Key Takeaways
16. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. China
16.2.1.2. Japan
16.2.1.3. South Korea
16.2.2. By Database Type
16.2.3. By Component
16.2.4. By Service
16.2.5. By Deployment Model
16.2.6. By Organization Size
16.2.7. By Vertical
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Database Type
16.3.3. By Component
16.3.4. By Service
16.3.5. By Deployment Model
16.3.6. By Organization Size
16.3.7. By Vertical
16.4. Key Takeaways
17. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.2.1. By Country
17.2.1.1. Australia
17.2.1.2. New Zealand
17.2.2. By Database Type
17.2.3. By Component
17.2.4. By Service
17.2.5. By Deployment Model
17.2.6. By Organization Size
17.2.7. By Vertical
17.3. Market Attractiveness Analysis
17.3.1. By Country
17.3.2. By Database Type
17.3.3. By Component
17.3.4. By Service
17.3.5. By Deployment Model
17.3.6. By Organization Size
17.3.7. By Vertical
17.4. Key Takeaways
18. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
18.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
18.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
18.2.1. By Country
18.2.1.1. GCC Countries
18.2.1.2. South Africa
18.2.1.3. Israel
18.2.1.4. Rest of MEA
18.2.2. By Database Type
18.2.3. By Component
18.2.4. By Service
18.2.5. By Deployment Model
18.2.6. By Organization Size
18.2.7. By Vertical
18.3. Market Attractiveness Analysis
18.3.1. By Country
18.3.2. By Database Type
18.3.3. By Component
18.3.4. By Service
18.3.5. By Deployment Model
18.3.6. By Organization Size
18.3.7. By Vertical
18.4. Key Takeaways
19. Key Countries Market Analysis
19.1. USA
19.1.1. Pricing Analysis
19.1.2. Market Share Analysis, 2022
19.1.2.1. By Database Type
19.1.2.2. By Component
19.1.2.3. By Service
19.1.2.4. By Deployment Model
19.1.2.5. By Organization Size
19.1.2.6. By Vertical
19.2. Canada
19.2.1. Pricing Analysis
19.2.2. Market Share Analysis, 2022
19.2.2.1. By Database Type
19.2.2.2. By Component
19.2.2.3. By Service
19.2.2.4. By Deployment Model
19.2.2.5. By Organization Size
19.2.2.6. By Vertical
19.3. Brazil
19.3.1. Pricing Analysis
19.3.2. Market Share Analysis, 2022
19.3.2.1. By Database Type
19.3.2.2. By Component
19.3.2.3. By Service
19.3.2.4. By Deployment Model
19.3.2.5. By Organization Size
19.3.2.6. By Vertical
19.4. Mexico
19.4.1. Pricing Analysis
19.4.2. Market Share Analysis, 2022
19.4.2.1. By Database Type
19.4.2.2. By Component
19.4.2.3. By Service
19.4.2.4. By Deployment Model
19.4.2.5. By Organization Size
19.4.2.6. By Vertical
19.5. Germany
19.5.1. Pricing Analysis
19.5.2. Market Share Analysis, 2022
19.5.2.1. By Database Type
19.5.2.2. By Component
19.5.2.3. By Service
19.5.2.4. By Deployment Model
19.5.2.5. By Organization Size
19.5.2.6. By Vertical
19.6. United Kingdom
19.6.1. Pricing Analysis
19.6.2. Market Share Analysis, 2022
19.6.2.1. By Database Type
19.6.2.2. By Component
19.6.2.3. By Service
19.6.2.4. By Deployment Model
19.6.2.5. By Organization Size
19.6.2.6. By Vertical
19.7. France
19.7.1. Pricing Analysis
19.7.2. Market Share Analysis, 2022
19.7.2.1. By Database Type
19.7.2.2. By Component
19.7.2.3. By Service
19.7.2.4. By Deployment Model
19.7.2.5. By Organization Size
19.7.2.6. By Vertical
19.8. Spain
19.8.1. Pricing Analysis
19.8.2. Market Share Analysis, 2022
19.8.2.1. By Database Type
19.8.2.2. By Component
19.8.2.3. By Service
19.8.2.4. By Deployment Model
19.8.2.5. By Organization Size
19.8.2.6. By Vertical
19.9. Italy
19.9.1. Pricing Analysis
19.9.2. Market Share Analysis, 2022
19.9.2.1. By Database Type
19.9.2.2. By Component
19.9.2.3. By Service
19.9.2.4. By Deployment Model
19.9.2.5. By Organization Size
19.9.2.6. By Vertical
19.10. India
19.10.1. Pricing Analysis
19.10.2. Market Share Analysis, 2022
19.10.2.1. By Database Type
19.10.2.2. By Component
19.10.2.3. By Service
19.10.2.4. By Deployment Model
19.10.2.5. By Organization Size
19.10.2.6. By Vertical
19.11. Malaysia
19.11.1. Pricing Analysis
19.11.2. Market Share Analysis, 2022
19.11.2.1. By Database Type
19.11.2.2. By Component
19.11.2.3. By Service
19.11.2.4. By Deployment Model
19.11.2.5. By Organization Size
19.11.2.6. By Vertical
19.12. Singapore
19.12.1. Pricing Analysis
19.12.2. Market Share Analysis, 2022
19.12.2.1. By Database Type
19.12.2.2. By Component
19.12.2.3. By Service
19.12.2.4. By Deployment Model
19.12.2.5. By Organization Size
19.12.2.6. By Vertical
19.13. Thailand
19.13.1. Pricing Analysis
19.13.2. Market Share Analysis, 2022
19.13.2.1. By Database Type
19.13.2.2. By Component
19.13.2.3. By Service
19.13.2.4. By Deployment Model
19.13.2.5. By Organization Size
19.13.2.6. By Vertical
19.14. China
19.14.1. Pricing Analysis
19.14.2. Market Share Analysis, 2022
19.14.2.1. By Database Type
19.14.2.2. By Component
19.14.2.3. By Service
19.14.2.4. By Deployment Model
19.14.2.5. By Organization Size
19.14.2.6. By Vertical
19.15. Japan
19.15.1. Pricing Analysis
19.15.2. Market Share Analysis, 2022
19.15.2.1. By Database Type
19.15.2.2. By Component
19.15.2.3. By Service
19.15.2.4. By Deployment Model
19.15.2.5. By Organization Size
19.15.2.6. By Vertical
19.16. South Korea
19.16.1. Pricing Analysis
19.16.2. Market Share Analysis, 2022
19.16.2.1. By Database Type
19.16.2.2. By Component
19.16.2.3. By Service
19.16.2.4. By Deployment Model
19.16.2.5. By Organization Size
19.16.2.6. By Vertical
19.17. Australia
19.17.1. Pricing Analysis
19.17.2. Market Share Analysis, 2022
19.17.2.1. By Database Type
19.17.2.2. By Component
19.17.2.3. By Service
19.17.2.4. By Deployment Model
19.17.2.5. By Organization Size
19.17.2.6. By Vertical
19.18. New Zealand
19.18.1. Pricing Analysis
19.18.2. Market Share Analysis, 2022
19.18.2.1. By Database Type
19.18.2.2. By Component
19.18.2.3. By Service
19.18.2.4. By Deployment Model
19.18.2.5. By Organization Size
19.18.2.6. By Vertical
19.19. GCC Countries
19.19.1. Pricing Analysis
19.19.2. Market Share Analysis, 2022
19.19.2.1. By Database Type
19.19.2.2. By Component
19.19.2.3. By Service
19.19.2.4. By Deployment Model
19.19.2.5. By Organization Size
19.19.2.6. By Vertical
19.20. South Africa
19.20.1. Pricing Analysis
19.20.2. Market Share Analysis, 2022
19.20.2.1. By Database Type
19.20.2.2. By Component
19.20.2.3. By Service
19.20.2.4. By Deployment Model
19.20.2.5. By Organization Size
19.20.2.6. By Vertical
19.21. Israel
19.21.1. Pricing Analysis
19.21.2. Market Share Analysis, 2022
19.21.2.1. By Database Type
19.21.2.2. By Component
19.21.2.3. By Service
19.21.2.4. By Deployment Model
19.21.2.5. By Organization Size
19.21.2.6. By Vertical
20. Market Structure Analysis
20.1. Competition Dashboard
20.2. Competition Benchmarking
20.3. Market Share Analysis of Top Players
20.3.1. By Regional
20.3.2. By Database Type
20.3.3. By Component
20.3.4. By Service
20.3.5. By Deployment Model
20.3.6. By Organization Size
20.3.7. By Vertical
21. Competition Analysis
21.1. Competition Deep Dive
21.1.1. Google
21.1.1.1. Overview
21.1.1.2. Product Portfolio
21.1.1.3. Profitability by Market Segments
21.1.1.4. Sales Footprint
21.1.1.5. Strategy Overview
21.1.1.5.1. Marketing Strategy
21.1.2. Microsoft
21.1.2.1. Overview
21.1.2.2. Product Portfolio
21.1.2.3. Profitability by Market Segments
21.1.2.4. Sales Footprint
21.1.2.5. Strategy Overview
21.1.2.5.1. Marketing Strategy
21.1.3. AWS
21.1.3.1. Overview
21.1.3.2. Product Portfolio
21.1.3.3. Profitability by Market Segments
21.1.3.4. Sales Footprint
21.1.3.5. Strategy Overview
21.1.3.5.1. Marketing Strategy
21.1.4. IBM
21.1.4.1. Overview
21.1.4.2. Product Portfolio
21.1.4.3. Profitability by Market Segments
21.1.4.4. Sales Footprint
21.1.4.5. Strategy Overview
21.1.4.5.1. Marketing Strategy
21.1.5. Oracle
21.1.5.1. Overview
21.1.5.2. Product Portfolio
21.1.5.3. Profitability by Market Segments
21.1.5.4. Sales Footprint
21.1.5.5. Strategy Overview
21.1.5.5.1. Marketing Strategy
21.1.6. SAP
21.1.6.1. Overview
21.1.6.2. Product Portfolio
21.1.6.3. Profitability by Market Segments
21.1.6.4. Sales Footprint
21.1.6.5. Strategy Overview
21.1.6.5.1. Marketing Strategy
21.1.7. MongoDB Inc
21.1.7.1. Overview
21.1.7.2. Product Portfolio
21.1.7.3. Profitability by Market Segments
21.1.7.4. Sales Footprint
21.1.7.5. Strategy Overview
21.1.7.5.1. Marketing Strategy
21.1.8. Rackspace Inc
21.1.8.1. Overview
21.1.8.2. Product Portfolio
21.1.8.3. Profitability by Market Segments
21.1.8.4. Sales Footprint
21.1.8.5. Strategy Overview
21.1.8.5.1. Marketing Strategy
21.1.9. Teradata Corporation
21.1.9.1. Overview
21.1.9.2. Product Portfolio
21.1.9.3. Profitability by Market Segments
21.1.9.4. Sales Footprint
21.1.9.5. Strategy Overview
21.1.9.5.1. Marketing Strategy
21.1.10. Alibaba cloud
21.1.10.1. Overview
21.1.10.2. Product Portfolio
21.1.10.3. Profitability by Market Segments
21.1.10.4. Sales Footprint
21.1.10.5. Strategy Overview
21.1.10.5.1. Marketing Strategy
22. Assumptions & Acronyms Used
23. Research Methodology
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Cloud Database and DBaaS Market
