Cloud Database and DBaaS Market by Database Type (SQL and NoSQL), Component, Service, Deployment Model, Organization Size, Vertical (BFSI, Telecom and IT, Manufacturing, Healthcare and Life Sciences), and Region - Global Forecast to 2025
[160 Pages Report] The global Cloud Database and DBaaS Market size to grow from USD 12.0 billion in 2020 to USD 24.8 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 15.7% during the forecast period. The rising need for self-driving cloud databases is one of the major factors expected to drive the growth of this market.
The consumer goods and retail segment to grow at the highest CAGR during the forecast period
The consumer goods and retail vertical needs to manage and process a large number of invoices; hence, this vertical is rapidly adopting cloud database and DBaaS to support business continuity and enhance the level of competitiveness. With the help of cloud database and DBaaS solutions, most consumer goods and retail enterprises are merging their legacy product information management systems with inventory management systems. The cloud database and DBaaS solution helps retail and eCommerce companies improve the process efficiency to enhance customer engagement, while reducing operational costs. Cloud database and DBaaS enable retailers to access customer data with just one click from any store located anywhere leading to better customer service delivery.
The structured query language segment to hold a larger market size during the forecast period
Relational databases have been dominating several verticals over a long period, providing various mechanisms for storing data, concurrency control, and transaction. It has also offered standard interfaces to integrate data and reporting. An Application Program Interface (API) and standard user of a relational database are Structured Query Language(SQL). SQL database helps in getting on-demand access to managed relational databases. SQL is a standard language for accessing and manipulating databases. It is a database management system that helps in keeping the data organized and readily available through user interface. The need for relational database in cloud database and DBaaS is mainly due to the rapid increase of the data volume. All the data produced by clients has to be stored somewhere and cloud database helps in a huge way in solving this issue. SQL works with relational database and organizes data into tables, rows, and columns, which corresponds to files, records, and fields.
North America to hold the largest market size during the forecast period
North America is expected to hold the largest market size in the global cloud database and DBaaS market, while Asia Pacific (APAC) is likely to grow at the highest CAGR during the forecast period. North America is expected to be the leading region in terms of adopting cloud database and DBaaS services. The US and Canada are expected to be the major contributors to the North American market. Enterprises in the region are most progressive in terms of the adoption of Artificial Intelligence (AI), Machine Learning (ML), and cloud adoption, thereby boosting the growth of the market. Moreover, the presence of major cloud database and DBaaS vendors in the region to drive market growth. The APAC region is expected to be the fastest-growing region in the market, due to the growing need for advanced intelligent solutions.
Key Market Players
Major vendors in the global cloud database and DBaaS market include Google (US), Microsoft (US), AWS (US), IBM (US), Oracle (US), Alibaba Cloud (China), SAP (Germany), MongoDB (US), EnterpriseDB (US), Redis Labs (US), Tencent (China), Rackspace (US), Teradata (US), CenturyLink (US), Neo4j (US), DataStax (US), TigerGraph (US), MariaDB (US), RDX (US), and MemSQL (US). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global market further.
Microsoft (US) is an American multinational technology and consulting firm. In the cloud database and DBaaS market, Microsoft offers the Azure SQL Database and Azure Cosmos DB. Azure SQL Database is a fully managed relational database that is also an intelligent and scalable cloud database service that offers the broadest SQL server engine compatibility. It also offers other features, such as frictionless migration, built-in ML, high availability, and advanced security. Azure Cosmos DB is a multi-modal, fully managed non-relational database service. It is globally distributed over multiple Azure regions. It also provides scalability, high availability, consistency, and low latency. It focuses on organic and inorganic growth strategies.
Scope of Report
|
Report Metrics |
Details |
|
Market size available for years |
2018–2025 |
|
Base year considered |
2019 |
|
Forecast period |
2020–2025 |
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Forecast unit |
Value (USD Million) |
|
Segments covered |
Database Type, Component, Service, Deployment Model, Organization Size, Vertical, and Region |
|
Geographies covered |
North America, Europe, APAC, MEA, and Latin America |
|
Companies covered |
The report includes 20 major vendors: Google (US), Microsoft (US), AWS (US), IBM (US), Oracle (US), Alibaba Cloud (China), SAP (Germany), MongoDB (US), EnterpriseDB (US), Redis Labs (US), Tencent (China), Rackspace (US), Teradata (US), CenturyLink (US), Neo4j (US), DataStax (US), TigerGraph (US), MariaDB (US), RDX (US), and MemSQL (US) |
This research report categorizes the cloud database and DBaaS market to forecast revenues and analyze trends in each of the following submarkets:
By Database Type:
- Structured Query Language (SQL)
- Not only Structured Query Language (NoSQL)
By Component:
- Solution
- Services
Cloud Database and DBaaS Market By Service:
- Professional Services
- Consulting
- Implementation
- Support and Maintenance
- Managed Services
By Deployment Model:
- Public Cloud
- Private Cloud
- Hybrid Cloud
By Organization Size:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By Vertical:
- Banking, Financial Services and Insurance (BFSI)
- Telecom and Information Technology (IT)
- Government
- Consumer Goods and Retail
- Manufacturing
- Energy and Utilities
- Media and Entertainment
- Healthcare and Life Sciences
- Others (Education, Travel and Hospitality, and Transportation)
By Region:
-
North America
- United States (US)
- Canada
-
Europe
- United Kingdom (UK)
- Rest of Europe
-
APAC
- China
- Rest of APAC
-
MEA
- Kingdom of Saudi Arabia (KSA)
- Rest of MEA
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments
- In February 2019, AWS collaborated with Lyft. Lyft leveraged AWS services, such as ML, database, and analytics. Lyft relies on Amazon DynamoDB, which delivers high performance to assists mission-critical workloads including ride-tracking system.
- In April 2019, Google launched an end-to-end AI platform. With this launch, new features such as AutoML Tables and AutoML Video Intelligence (now in beta) were added. By taking existing tabular data from Google’s BigQuery database, AutoML Tables enable users to automatically create a model that would predict the value of a given column.
- In June 2019, MongoDB launched the beta versions of MongoDB Atlas Data Lake and MongoDB Atlas Full-Text Search. The new products enable the users to access updated features in a fully managed MongoDB environment without managing any additional infrastructure. Thus, they enhanced user experience. With the launch of these new products, MongoDB expands the use of MongoDB Query Language (MQL).
Critical questions the report answers
- What are the current trends that are driving the cloud database and DBaaS market?
- Who are the top vendors in the market and what is their competitive analysis?
- What are the innovations and developments done by the major market players?
- What are the regulatory implications that impact the market directly and indirectly?
- Which region is expected to lead the global market at the end of the forecast period?
Frequently Asked Questions (FAQ):
How big is the Cloud Database and DBaaS Market?
What is the Cloud Database and DBaaS Market growth?
What is Cloud Database and DBaaS?
What are the top trends in the Cloud Database and DBaaS market?
What are the top companies providing Cloud Database and DBaaS solution and services?
What are the major industries adopting Cloud Database and DBaaS solution and services?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 17)
1.1 Objectives of the Study
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Years Considered for the Study
1.4 Currency Considered
1.5 Stakeholders
2 Research Methodology (Page No. - 20)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
3 Executive Summary (Page No. - 28)
4 Premium Insights (Page No. - 31)
4.1 Attractive Opportunities in the Cloud Database and DBaaS Market
4.2 North America: Cloud Database and DBaaS Market, By Database Type and Country, 2020
4.3 Market By Organization Size, 2020–2025
5 Market Overview (Page No. - 33)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rising Need for Self-Driving Cloud Databases
5.2.1.2 Growing Demand to Process Low-Latency Queries
5.2.2 Restraints
5.2.2.1 Privacy and Security of the Data Stored on Databases
5.2.3 Opportunities
5.2.3.1 Increase in Production of Database Workload
5.2.3.2 Increase in the Growth of NoSQL Database
5.2.4 Challenges
5.2.4.1 Growing Need to Manage Regulatory and Compliance Policy Needs
5.3 Use Cases
5.3.1 Use Case 1: Redis Labs
5.3.2 Use Case 2: Neo4j
5.3.3 Use Case 3: DataStax
6 Cloud Database and DBaaS Market, By Database Type (Page No. - 38)
6.1 Introduction
6.1.1 Database Type: Market Drivers
6.2 Structured Query Language
6.3 Not Only Structured Query Language
7 Market, By Component (Page No. - 42)
7.1 Introduction
7.1.1 Component: Market Drivers
7.2 Solution
7.3 Services
8 Market, By Service (Page No. - 46)
8.1 Introduction
8.1.1 Services: Market Drivers
8.2 Professional Services
8.2.1 Consulting
8.2.2 Implementation
8.2.3 Support and Maintenance
8.3 Managed Services
9 Market, By Deployment Model (Page No. - 52)
9.1 Introduction
9.1.1 Deployment Model: Market Drivers
9.2 Public Cloud
9.3 Private Cloud
9.4 Hybrid Cloud
10 Market, By Organization Size (Page No. - 57)
10.1 Introduction
10.1.1 Organization Size: Market Drivers
10.2 Large Enterprises
10.3 Small and Medium-Sized Enterprises
11 Market, By Vertical (Page No. - 61)
11.1 Introduction
11.1.1 Services: Market Drivers
11.2 Banking, Financial Services and Insurance
11.3 Telecom and IT
11.4 Government
11.5 Consumer Goods and Retail
11.6 Manufacturing
11.7 Energy and Utilities
11.8 Media and Entertainment
11.9 Healthcare and Life Sciences
11.10 Others
12 Cloud Database and DBaaS Market, By Region (Page No. - 71)
12.1 Introduction
12.2 North America
12.2.1 North America: Market Drivers
12.2.2 United States
12.2.3 Canada
12.3 Europe
12.3.1 Europe: Market Drivers
12.3.2 United Kingdom
12.3.3 Rest of Europe
12.4 Asia Pacific
12.4.1 Asia Pacific: Market Drivers
12.4.2 China
12.4.3 Rest of Asia Pacific
12.5 Middle East and Africa
12.5.1 Middle East and Africa: Market Drivers
12.5.2 Kingdom of Saudi Arabia
12.5.3 Rest of Middle East and Africa
12.6 Latin America
12.6.1 Latin America: Market Drivers
12.6.2 Brazil
12.6.3 Mexico
12.6.4 Rest of Latin America
13 Competitive Landscape (Page No. - 106)
13.1 Introduction
13.1.1 New Product Launches/Product Enhancements
13.1.2 Partnerships and Collaborations
13.1.3 Acquisitions
13.2 Competitive Leadership Mapping
13.2.1 Visionary Leaders
13.2.2 Innovators
13.2.3 Dynamic Differentiators
13.2.4 Emerging Companies
14 Company Profiles (Page No. - 111)
14.1 Introduction
14.2 Google
(Business Overview, Products Offered, Recent Developments, and SWOT Analysis)*
14.3 Microsoft
14.4 AWS
14.5 IBM
14.6 Oracle
14.7 Alibaba Cloud
14.8 SAP
14.9 MongoDB
14.10 EnterpriseDB
14.11 Redis Labs
14.12 Tencent
14.13 Rackspace
14.14 Teradata
14.15 CenturyLink
14.16 Neo4j
14.17 DataStax
14.18 TigerGraph
14.19 MariaDB
14.20 RDX
14.21 MemSQL
14.22 Right-To-Win
*Details on Business Overview, Products Offered, Recent Developments, and SWOT Analysis Might Not be Captured in Case of Unlisted Companies.
15 Appendix (Page No. - 153)
15.1 Discussion Guide
15.2 Knowledge Store: MarketsandMarkets' Subscription Portal
15.3 Available Customizations
15.4 Related Reports
15.5 Author Details
List of Tables (105 Tables)
Table 1 United States Dollar Exchange Rate, 2016–2019
Table 2 Factor Analysis
Table 3 Global Market Size 2018–2025 (USD Million)
Table 4 Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 5 Structured Query LanguaGE: Market Size By Region, 2018–2025 (USD Million)
Table 6 Not Only Structured Query LanguaGE: Market Size By Region, 2018–2025 (USD Million)
Table 7 Market Size, By Component, 2018–2025 (USD Million)
Table 8 Solution: Market Size By Region, 2018–2025 (USD Million)
Table 9 Services: Market Size By Region, 2018–2025 (USD Million)
Table 10 Market Size, By Service, 2018–2025 (USD Million)
Table 11 Professional Services: Market Size By Region, 2018–2025 (USD Million)
Table 12 Professional Services: Market Size By Type, 2018–2025 (USD Million)
Table 13 Consulting: Market Size By Region, 2018–2025 (USD Million)
Table 14 Implementation: Market Size By Region, 2018–2025 (USD Million)
Table 15 Support and Maintenance: Market Size By Region, 2018–2025 (USD Million)
Table 16 Managed Services: Market Size By Region, 2018–2025 (USD Million)
Table 17 Cloud Database and DBaaS Market Size, By Deployment Model, 2018–2025 (USD Million)
Table 18 Public Cloud: Market Size By Region, 2018–2025 (USD Million)
Table 19 Private Cloud: Market Size By Region, 2018–2025 (USD Million)
Table 20 Hybrid Cloud: Market Size By Region, 2018–2025 (USD Million)
Table 21 Market Size, By Organization Size, 2018–2025 (USD Million)
Table 22 Large Enterprises: Cloud Database and DBaaS Size, By Region, 2018–2025 (USD Million)
Table 23 Small and Medium-Sized Enterprises: Market Size By Region, 2018–2025 (USD Million)
Table 24 Cloud Database and DBaaS Market Size, By Vertical, 2018–2025 (USD Million)
Table 25 Banking, Financial Services and Insurance: Market Size By Region, 2018–2025 (USD Million)
Table 26 Telecom and IT: Market Size By Region, 2018–2025 (USD Million)
Table 27 Government: Market Size By Region, 2018–2025 (USD Million)
Table 28 Consumer Goods and Retail: Market Size By Region, 2018–2025 (USD Million)
Table 29 Manufacturing: Cloud Database and DBaaS Market Size, By Region, 2018–2025 (USD Million)
Table 30 Energy and Utilities: Market Size By Region, 2018–2025 (USD Million)
Table 31 Media and Entertainment: Market Size By Region, 2018–2025 (USD Million)
Table 32 Healthcare and Life Sciences: Market Size By Region, 2018–2025 (USD Million)
Table 33 Others: Market Size By Region, 2018–2025 (USD Million)
Table 34 Market Size, By Region, 2018–2025 (USD Million)
Table 35 North America: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 36 North America: Market Size By Component, 2018–2025 (USD Million)
Table 37 North America: Market Size By Service, 2018–2025 (USD Million)
Table 38 North America: Market Size By Professional Service, 2018–2025 (USD Million)
Table 39 North America: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 40 North America: Market Size By Organization Size, 2018–2025 (USD Million)
Table 41 North America: Market Size By Vertical, 2018–2025 (USD Million)
Table 42 North America: Market Size By Country, 2018–2025 (USD Million)
Table 43 North America: Structured Query Language Market Size, By Country, 2018–2025 (USD Million)
Table 44 North America: Not Only Structured Query Language Market Size, By Country, 2018–2025 (USD Million)
Table 45 North America: Solution Market Size, By Country, 2018–2025 (USD Million)
Table 46 North America: Services Market Size, By Country, 2018–2025 (USD Million)
Table 47 North America: Professional Services Market Size, By Country, 2018–2025 (USD Million)
Table 48 North America: Consulting Market Size, By Country, 2018–2025 (USD Million)
Table 49 North America: Implementation Market Size, By Country, 2018–2025 (USD Million)
Table 50 North America: Support and Maintenance Market Size, By Country,& 2018–2025 (USD Million)
Table 51 North America: Managed Services Market Size, By Country, 2018–2025 (USD Million)
Table 52 North America: Public Cloud Market Size, By Country, 2018–2025 (USD Million)
Table 53 North America: Private Cloud Market Size, By Country, 2018–2025 (USD Million)
Table 54 North America: Hybrid Cloud Market Size, By Country, 2018–2025 (USD Million)
Table 55 North America: Large Enterprises Market Size, By Country, 2018–2025 (USD Million)
Table 56 North America: Small and Medium-Sized Enterprises Market Size, By Country, 2018–2025 (USD Million)
Table 57 United States: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 58 United States: Market Size By Component, 2018–2025 (USD Million)
Table 59 United States: Market Size By Service, 2018–2025 (USD Million)
Table 60 United States: Market Size By Professional Service, 2018–2025 (USD Million)
Table 61 United States: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 62 United States: Product Market Size, By Organization Size, 2018–2025 (USD Million)
Table 63 Canada: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 64 Canada: Market Size By Component, 2018–2025 (USD Million)
Table 65 Canada: Market Size By Service, 2018–2025 (USD Million)
Table 66 Canada: Market Size By Professional Service, 2018–2025 (USD Million)
Table 67 Canada: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 68 Canada: Market Size By Organization Size, 2018–2025 (USD Million)
Table 69 Europe: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 70 Europe: Market Size By Component, 2018–2025 (USD Million)
Table 71 Europe: Market Size By Service, 2018–2025 (USD Million)
Table 72 Europe: Market Size By Professional Service, 2018–2025 (USD Million)
Table 73 Europe: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 74 Europe: Market Size By Organization Size, 2018–2025 (USD Million)
Table 75 Europe: Market Size By Vertical, 2018–2025 (USD Million)
Table 76 Europe: Market Size By Country, 2018–2025 (USD Million)
Table 77 United Kingdom: Market Size By Organization, 2018–2025 (USD Million)
Table 78 Rest of Europe: Market Size By Organization, 2018–2025 (USD Million)
Table 79 Asia Pacific: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 80 Asia Pacific: Market Size By Component, 2018–2025 (USD Million)
Table 81 Asia Pacific: Market Size By Service, 2018–2025 (USD Million)
Table 82 Asia Pacific: Market Size By Professional Service, 2018–2025 (USD Million)
Table 83 Asia Pacific: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 84 Asia Pacific: Market Size By Organization Size, 2018–2025 (USD Million)
Table 85 Asia Pacific: Market Size By Vertical, 2018–2025 (USD Million)
Table 86 Asia Pacific: Market Size By Country, 2018–2025 (USD Million)
Table 87 Middle East and Africa: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 88 Middle East and Africa: Market Size By Component, 2018–2025 (USD Million)
Table 89 Middle East and Africa: Market Size By Service, 2018–2025 (USD Million)
Table 90 Middle East and Africa: Market Size By Professional Service, 2018–2025 (USD Million)
Table 91 Middle East and Africa: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 92 Middle East and Africa: Market Size By Organization Size, 2018–2025 (USD Million)
Table 93 Middle East and Africa: Market Size By Vertical, 2018–2025 (USD Million)
Table 94 Middle East and Africa: Market Size By Country, 2018–2025 (USD Million)
Table 95 Latin America: Cloud Database and DBaaS Market Size, By Database Type, 2018–2025 (USD Million)
Table 96 Latin America: Market Size By Component, 2018–2025 (USD Million)
Table 97 Latin America: Market Size By Service, 2018–2025 (USD Million)
Table 98 Latin America: Market Size By Professional Service, 2018–2025 (USD Million)
Table 99 Latin America: Market Size By Deployment Model, 2018–2025 (USD Million)
Table 100 Latin America: Market Size, By Organization Size, 2018–2025 (USD Million)
Table 101 Latin America: Market Size By Vertical, 2018–2025 (USD Million)
Table 102 Latin America: Market Size By Country, 2018–2025 (USD Million)
Table 103 New Product Launches, 2018–2019
Table 104 Partnerships and Collaborations, 2019
Table 105 Acquisitions, 2018–2019
List of Figures (35 Figures)
Figure 1 Cloud Database and DBaaS Market: Research Design
Figure 2 Market Top-Down and Bottom-Up Approaches
Figure 3 Market Research Methodology
Figure 4 Market Size Estimation Methodology: Illustrative Example of MongoDB
Figure 5 Segments With Higher Market Shares in the Cloud Database AMD DBaaS Market in 2020
Figure 6 North America to Account for the Highest Market Share in 2020
Figure 7 Growing Demand to Process Low-Latency Queries to Drive the Growth of the Market
Figure 8 Structured Query Language Segment and United States to Account for Higher Market Shares in 2020
Figure 9 Small and Medium-Sized Enterprises Segment to Grow at a Higher Growth Rate During the Forecast Period
Figure 10 Cloud Database and DBaaS Market: Drivers, Restraints, Opportunities, and Challenges
Figure 11 Not Only Structured Query Language Segment to Grow at a Higher CAGR During the Forecast Period
Figure 12 Services Segment to Grow at a Higher CAGR During the Forecast Period
Figure 13 Managed Services Segment to Grow at a Higher CAGR During the Forecast Period
Figure 14 Hybrid Cloud Segment to Grow at the Highest CAGR During the Forecast Period
Figure 15 Small and Medium-Sized Enterprises to Grow at a Higher CAGR During the Forecast Period
Figure 16 Consumer Goods and Retail Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 17 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 18 North America: Market Snapshot
Figure 19 Asia Pacific: Market Snapshot
Figure 20 Key Developments in the Cloud Database and DBaaS Market During 2017–2019
Figure 21 Cloud Database and DBaaS (Global), Competitive Leadership Mapping, 2020
Figure 22 Geographic Revenue Mix of the Top Market Players
Figure 23 Google: Company Snapshot
Figure 24 Google: SWOT Analysis
Figure 25 Microsoft: Company Snapshot
Figure 26 Microsoft: SWOT Analysis
Figure 27 AWS: Company Snapshot
Figure 28 AWS: SWOT Analysis
Figure 29 IBM: Company Snapshot
Figure 30 IBM: SWOT Analysis
Figure 31 Oracle: Company Snapshot
Figure 32 Oracle: SWOT Analysis
Figure 33 Alibaba Cloud: Company Snapshot
Figure 34 SAP: Company Snapshot
Figure 35 MongoDB: Company Snapshot
The study involved four major activities in estimating the current market size for the cloud database and Database as a Service (DBaaS) market. An exhaustive secondary research was done to collect information on the cloud database and DBaaS industry. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the cloud database and DBaaS market.
Secondary Research
In the secondary research process, various secondary sources, such as D&B Hoovers, Bloomberg Businessweek, and Factiva, have been referred to identify and collect information for this study. These secondary sources included annual reports, press releases and investor presentations of companies, whitepapers, and articles by recognized authors, gold standard and silver standard websites, regulatory bodies, and databases.
Primary Research
In the primary research process, various sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information for making this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the cloud database and DBaaS market.
After the complete market engineering (including calculations for market statistics, market breakup, market size estimations, market forecasting, and data triangulation), an extensive primary research was conducted to gather information, and verify and validate the critical numbers arrived at. Primary research was also undertaken to identify the segmentation types; the competitive landscape of cloud database and DBaaS solution and service providers; and fundamental market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key players’ strategies.
Following is the breakup of the primary respondents:
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the cloud database and DBaaS market. These methods were also used extensively to determine the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- The key players in the industry and markets were identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, were determined through primary and secondary research processes.
- All percentage shares and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegments. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Report Objectives
- To define, describe, and forecast the cloud database and DBaaS market by database type, component, service, deployment model, organization size, vertical, and region
- To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
- To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders by identifying high-growth segments of the market
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile key players of the market and comprehensively analyze their market share and core competencies
- To track and analyze competitive developments, such as new product launches; mergers and acquisitions; and partnerships, agreements, and collaborations, in the market
Available Customizations
Along with the market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product matrix gives a detailed comparison of the product portfolio of each company
Geographic Analysis
- Further breakup of the European cloud database and DBaaS market into countries
- Further breakup of the APAC market into countries
- Further breakup of the MEA market into countries
- Further breakup of the Latin American market into countries
Company Information
- Detailed analysis and profiling of additional market players
Database Provisioning Market & Its impact on Cloud Database and DBaaS Market
Database provisioning refers to the process of setting up and configuring a database to ensure that it is available, accessible and optimized for use. In the context of cloud computing, database provisioning is closely related to the cloud database and Database-as-a-Service (DBaaS) market.
Database provisioning is essential for DBaaS, as it enables users to provision new databases quickly and easily or modify existing ones, without requiring extensive technical expertise. DBaaS providers typically offer a range of pre-configured database types and options, and users can select the one that best meets their needs. Additionally, some DBaaS providers offer customization options, which enable users to further optimize their databases for their specific use case.
Below are some ways in which database provisioning impacts this market:
- Faster and easier database setup: Database provisioning tools and services enable users to set up and configure their databases more quickly and easily, without requiring extensive technical expertise. This makes it easier for businesses to take advantage of cloud-based databases, which can be provisioned and made available to users in a matter of minutes.
- Improved scalability: Database provisioning tools and services enable businesses to quickly scale their databases up or down, based on their changing needs. This helps businesses to optimize their use of cloud resources and avoid overprovisioning, which can be costly.
- Reduced costs: Database provisioning tools and services can help businesses to reduce their costs by eliminating the need to invest in expensive hardware and software infrastructure. With DBaaS, for example, the cloud service provider handles all aspects of database provisioning, which can result in significant cost savings.
- Greater flexibility: Database provisioning tools and services provide businesses with greater flexibility in terms of the types of databases they can use and the way they can be configured. This enables businesses to select the database that best meets their needs and customize it to their specific use case.
- Increased adoption of cloud databases and DBaaS: Database provisioning tools and services have made it easier for businesses to adopt cloud-based databases and DBaaS, which has contributed to the growth of the cloud database and DBaaS market. As businesses continue to migrate their databases to the cloud, the demand for database provisioning services is expected to grow.
Top Companies in Database Provisioning Market
Some of the top players in the database provisioning market:
- Oracle Corporation
- Amazon Web Services (AWS)
- Microsoft Corporation
- IBM Corporation
- Google LLC
- Nutanix Inc.
- HashiCorp Inc.
- Quest Software Inc.
New Business Opportunities in Database Provisioning Market
- Automation Tools: As businesses look to streamline their database provisioning processes, there is a growing demand for automation tools that can help automate the setup and configuration of databases. Companies that can provide innovative automation tools to help businesses set up and manage their databases more efficiently will have a significant business opportunity.
- Cloud-based Solutions: With the increasing adoption of cloud computing, there is a growing demand for cloud-based solutions that can help businesses provision and manage their databases in the cloud. Companies that can provide cloud-based database provisioning solutions that are easy to use, secure, and cost-effective will have a significant business opportunity.
- Microservices: As more businesses adopt microservices architectures, there is a growing need for database provisioning tools and services that can support these applications. Companies that can provide database provisioning solutions that are specifically designed to support microservices architectures will have a significant business opportunity.
- Security: As businesses look to protect their data from cyber threats, there is a growing demand for database provisioning solutions that are designed with security in mind. Companies that can provide innovative security solutions that protect databases from cyber threats will have a significant business opportunity.
- Big Data Analytics: With the increasing use of big data analytics, there is a growing need for database provisioning solutions that can support these applications. Companies that can provide database provisioning solutions that are specifically designed to support big data analytics will have a significant business opportunity.
- AI and Machine Learning: As businesses look to leverage the power of AI and machine learning, there is a growing need for database provisioning solutions that can support these applications. Companies that can provide database provisioning solutions that are specifically designed to support AI and machine learning will have a significant business opportunity.
Industries Getting Impacted in the Future by Database Provisioning Market
Database provisioning is a critical process that has the potential to impact a wide range of industries in the future. Here are some examples of industries that may be impacted by database provisioning:
- Healthcare: With the increasing adoption of electronic health records and the need for real-time data access, healthcare providers will require fast and efficient database provisioning to support their applications.
- Financial Services: Financial services companies require secure and reliable databases to manage their customers' financial data. Database provisioning can help these companies set up and configure their databases more quickly and efficiently.
- Retail: Retail companies need to manage large volumes of customer data, including purchase histories, loyalty programs, and online behavior. Database provisioning can help these companies set up and manage their databases more effectively to support these initiatives.
- Manufacturing: The manufacturing industry is increasingly relying on data-driven processes to optimize production and supply chain management. Database provisioning can help these companies manage and analyze their data more efficiently.
- Energy: The energy industry is generating vast amounts of data from sensors, equipment, and other sources. Database provisioning can help energy companies manage this data more effectively and efficiently, supporting initiatives such as predictive maintenance and real-time monitoring.
- Transportation: Transportation companies need to manage large amounts of data from vehicles, logistics systems, and customers. Database provisioning can help these companies set up and manage their databases more efficiently, enabling them to improve their services and reduce costs.
Key Challenges for Growth of Database Provisioning Market
- Scalability: As businesses grow, their data needs may also grow, and they may require more database instances to handle the increased data volume. Database provisioning companies will need to ensure that their solutions can scale to meet the needs of growing businesses.
- Data Security: As more businesses store sensitive data in their databases, there is an increased risk of data breaches and cyber attacks. Database provisioning companies will need to ensure that their solutions are designed with security in mind to protect their customers' data.
- Data Management: As the use of data becomes more complex, businesses may require more specialized solutions to manage their data effectively. Database provisioning companies will need to ensure that their solutions can handle a variety of use cases and applications.
- Technical Expertise: As the use of data and databases become more complex, businesses may require more technical expertise to manage their databases effectively. Database provisioning companies will need to ensure that their solutions are easy to use and designed for non-technical users.
- Integration with Other Technologies: As businesses adopt new technologies, they may require database provisioning solutions that can integrate with these technologies seamlessly. Database provisioning companies will need to ensure that their solutions can integrate with a variety of technologies, such as cloud platforms and microservices architectures.
Futuristic Growth Use-Cases of Database Provisioning Market
- Internet of Things (IoT): As more IoT devices are connected to the internet, there will be an increasing need for fast and efficient database provisioning to manage the large volumes of data generated by these devices.
- Big Data Analytics: The ability to quickly provision databases is critical for businesses that need to analyze large volumes of data. With the help of database provisioning tools and services, businesses can quickly set up and configure databases to support big data analytics.
- Artificial Intelligence (AI) and Machine Learning (ML): AI and ML applications require large amounts of data to be trained and run. With the help of database provisioning, businesses can set up and configure databases to support these applications quickly and easily.
- Cloud Migration: As more businesses move their applications and data to the cloud, there will be an increasing need for database provisioning services to help migrate databases to the cloud and configure them for optimal performance.
- Disaster Recovery: Database provisioning can play a critical role in disaster recovery, enabling businesses to quickly set up and configure databases in the event of an outage or disaster.
- Microservices: As more businesses adopt microservices architectures, there will be an increasing need for fast and efficient database provisioning to support these applications.
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