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
