Global Cloud Database Market
Market Size in USD Billion
CAGR :
%
USD
21.84 Billion
USD
966.53 Billion
2021
2029
| 2022 –2029 | |
| USD 21.84 Billion | |
| USD 966.53 Billion | |
|
|
|
|
Global Cloud Database Market, By Database (Structured Query Language, Non-Structured Language), Model (Service Model, Deployment Model), Component (Software, Service), Organisation Size (Large Enterprise, Small and Medium-Sized Enterprise), Pricing Model (Pay-As-You-Go, Upfront Payment, Partial Upfront Payment, Others), End User (Banking Financial Services and Insurance (BFSI), Education, Healthcare, Government, I.T. and Telecommunication, Hospitality, Retail, Others), – Industry Trends and Forecast to 2029

Cloud Database Market Analysis and Size
In line with the thriving global economy, the number of start-ups and fast-growing businesses is also on the rise. As the number of business establishments grows, so does the demand for effective asset management of valuable organisational assets. Furthermore, start-up companies have recently received government funding for new ventures and the development of cloud database. Small and large businesses alike continue to choose cloud database for cost-effective asset lifecycle optimization and a modular, fully scalable solution that meets organisational needs.
Data Bridge Market Research analyses that the cloud database market was valued at USD 21.84 billion in 2021 and is expected to reach the value of USD 966.53 billion by 2029, at a CAGR of 60.60% during the forecast period of 2022-2029. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Report Scope and Market Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2022 to 2029 |
|
Base Year |
2021 |
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Historic Years |
2020 (Customizable to 2014 - 2019) |
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Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
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Segments Covered |
Database (Structured Query Language, Non-Structured Language), Model (Service Model, Deployment Model), Component (Software, Service), Organisation Size (Large Enterprise, Small and Medium-Sized Enterprise), Pricing Model (Pay-As-You-Go, Upfront Payment, Partial Upfront Payment, Others), End User (Banking Financial Services and Insurance (BFSI), Education, Healthcare, Government, I.T. and Telecommunication, Hospitality, Retail, Others), |
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Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America |
|
Market Players Covered |
IBM Corporation (U.S.), Microsoft (U.S.), Siemens AG (Germany), ANSYS, Inc (U.S.), SAP SE (Germany), Oracle (U.S.), Robert Bosch GmbH (Germany), Swim.ai, Inc. (U.S.)., Atos S.E. (France), ABB (Switzerland), KELLTON TECH (India), AVEVA Group plc (U.K.), DXC Technology Company (U.S.), Altair Engineering, Inc (U.S.), Hexaware Technologies Limited (India), Tata Consultancy Services Limited (India), Infosys Limited (Bengaluru), NTT DATA, Inc. (Japan), TIBCO Software Inc. (U.S.) |
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Market Opportunities |
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Market Definition
A cloud database is a service that is created and accessed via a cloud platform. Cloud database applications run on cloud computing platforms, and their services are delivered via an as-a-service model acronym, DBaaS (cloud database-as-a-service). It is a simple cloud-based platform that is in charge of storing and managing data in the cloud.
Global Cloud Database Market Dynamics
Drivers
- Rapid adoption of Database as a service (DBaaS)
Cloud databases eliminate physical infrastructure and allow for faster application development at a lower cost. Furthermore, DBaaS solutions offer advantages such as instant scalability, performance guarantees, failover support, declining pricing, and specialised expertise. With the rise of cloud computing, the demand for server and DBaaS has significantly increased. Specifically, the benefits of DBaaS provision, such as lower database licencing and infrastructure costs, are impacting the rise of the demand for DBaas market, thereby elevating the growth of the cloud database market.
- Growing need for high data storage requirements
When a user's storage capacity is nearing its limit, it automatically increases. This benefits the user by saving time that would otherwise be spent estimating future data storage needs or spending money on capacity that is not required. A scalable database service called Cloud Spanner was built to support transactions while maintaining strong consistency and high availability across regions and continents. The cloud spanner provides customers with strong listing consistency, lowering the likelihood of missing files in the midst of a massive pile of data. Furthermore, No SQL-implemented cloud storage ensures affordability, and data can be easily accessed from anywhere in the world, boosting market growth. The rise of cloud computing has accelerated the adoption of SQL-based cloud databases, which will continue to grow.
Opportunity
SQL databases are preferred over NoSQL databases for performing dynamic and complex querying and reporting. Due to its atomicity, consistency, isolation, and durability (ACID) compliance, SQL databases are well suited for transaction-oriented systems such as customer relationship management tools, e-commerce platforms, and accounting software. These factors are helping to drive the growth of the cloud database market.
Restraints
Security and privacy concerns are likely to impede the growth of the cloud database during the forecast period.
This cloud database market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the cloud database market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
COVID-19 Impact on Cloud Database Market
After the pandemic prompted lockdowns around the world, many industries were closed or not operating for an extended period of time. As a result, global demand for cloud databases and DBaaS has skyrocketed. The industries that were opened up as vital services failed to generate the necessary cloud database and DBaaS market development. The remote nature of industry activities, increases the sales of cloud databases and DBaaS. Furthermore, as a result of the coronavirus illness (COVID-19) outbreak and government lockdowns in several countries, businesses are implementing remote working modes and cloud computing services to ensure business continuity. This is fuelling global demand for cloud databases and DBaaS, which enable remote document management. COVID-19 was also a significant issue for economies worldwide, as evidenced by a year-over-year decrease in U.S. exports between April 2020 and April 2021, as well as an increase in imports during the same period. The cloud databases and DBaaS market is attempting to recoup its minor losses. Regardless, the Healthcare/ICT/Chemical industries are likely to be directly affected, resulting in high demand for cloud databases and DBaaS.
Global Cloud Database Market Scope
The cloud database market is segmented on the basis of database, model, component, organisation size, pricing model, and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Database
- Structured Query Language
- Non-Structured Language
Model
- Service Model
- Public cloud
- Private cloud
- Virtual private cloud
- Hybrid cloud
- Deployment Model
- Database as a service (DBaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
Component
- Software
- Database encryption
- Backup and recovery
- Data scaling and replication
- Database application builder
- Others
- Services
- Training and consulting service
- System and network integration service
- Deployment and maintenance service
Institution
- Banks
- Broker Dealers
- Specialty Finance
- Wealth Advisors
- Others
Organization size
- Small and medium sized enterprises
- Large Enterprises
Pricing model
- Pay-As-You-Go
- Upfront Payment
- Partial Upfront Payment
- Others
End user
- Banking Financial Services and Insurance (BFSI)
- Education
- Healthcare
- Government
- I.T. and Telecommunication
- Hospitality
- Retail
- Others
Cloud Database Market Regional Analysis/Insights
The cloud database market is analysed and market size insights and trends are provided by country, database, model, component, organisation size, pricing model, and end user as referenced above.
The countries covered in the cloud database market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America will dominate the cloud database market due to the large market share of the United States and Canada, as well as rising demand for solutions by the region's financial institutions.
Asia-Pacific will grow during the forecast period of 2022-2029 due to the expansion of the financial and banking sector.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Cloud Database Market Share Analysis
The cloud database market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to cloud database market.
Some of the major players operating in the cloud database market are:
- IBM Corporation (U.S.)
- Microsoft (U.S.)
- Siemens AG (Germany)
- ANSYS, Inc (U.S.)
- SAP SE (Germany)
- Oracle (U.S.)
- Robert Bosch GmbH (Germany)
- Swim.ai, Inc. (U.S.).
- Atos S.E. (France)
- ABB (Switzerland)
- KELLTON TECH (India)
- AVEVA Group plc (U.K.)
- DXC Technology Company (U.S.)
- Altair Engineering, Inc (U.S.)
- Hexaware Technologies Limited (India)
- Tata Consultancy Services Limited (India)
- Infosys Limited (Bengaluru)
- NTT DATA, Inc. (Japan)
- TIBCO Software Inc. (U.S.)
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Table of Content
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL CLOUD DATABASE MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATION
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 KEY TAKEAWAYS
2.2 ARRIVING AT THE GLOBAL CLOUD DATABASE MARKET
2.3 VENDOR POSITIONING GRID
2.4 TECHNOLOGY LIFE LINE CURVE
2.5 MARKET GUIDE
2.6 MULTIVARIATE MODELLING
2.7 TOP TO BOTTOM ANALYSIS
2.8 STANDARDS OF MEASUREMENT
2.9 VENDOR SHARE ANALYSIS
2.1 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.11 DATA POINTS FROM KEY SECONDARY DATABASES
2.12 GLOBAL CLOUD DATABASE MARKET: RESEARCH SNAPSHOT
2.13 ASSUMPTIONS
3 MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4 EXECUTIVE SUMMARY
5 PREMIUM INSIGHTS
5.1 INDUSTRY ANALYSIS & FUTURISTIC SCENARIO
5.2 PENETRATION AND GROWTH POSPECT MAPPING
5.3 COMPETITOR KEY PRICING STRATEGIES
5.4 TECHNOLOGY ANALYSIS
5.4.1 KEY TECHNOLOGIES
5.4.2 COMPLEMENTARY TECHNOLOGIES
5.4.3 ADJACENT TECHNOLOGIES
FIGURE 1 TECHNOLOGY MATRIX
Company Product/Service offered
5.5 COMPANY COMPETITIVE ANALYSIS
5.5.1 STRATEGIC DEVELOPMENT
5.5.2 TECHNOLOGY IMPLEMENTATION PROCESS
5.5.2.1. CHALLENGES
5.5.2.2. INHOUSE IMPLEMENTATION/OUTSOURCED (THIRD PARTY) IMPLEMENTATION
5.5.3 TECHNOLOGY SPEND OF COMPANY
5.5.4 CUSTOMER BASE
5.5.5 SERVICE POSITIONING
5.5.6 CUSTOMER FEEDBACK/RATING (B2B OR B2C)
5.5.7 APPLICATION REACH
5.5.8 SERVICE PLATFORM MATRIX
FIGURE 2 COMPANY COMPARATIVE ANALYSIS
Parameters Company A
Market Share
Growth (%)
Target Audience
Price Structure
Market Strategies
Customer Feedback
Service Positioning
Customer Feedback/Rating
Strategic Development
Acquisitions & its value (USD Million)
Application Reach
FIGURE 3 COMPANY SERVICE PLATFORM MATRIX
5.6 FUNDING DETAILS—INVESTOR DETAILS , REASON OF INVESTMENT FROM INVESTOR
5.7 USED CASES & ITS ANALYSIS
FIGURE 4 USED CASE ANALYSIS
Company Product/Service offered
6 GLOBAL CLOUD DATABASE MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOFTWARE
6.2.1 DATABASE APPLICATION BUILDER
6.2.2 DATA ENCRYPTION
6.2.3 DATA SCALING & REPLICATION
6.2.4 OTHERS
6.3 SERVICES
6.3.1 TRAINING & CONSULTING
6.3.2 DEPLOYMENT & MAINTENANCE
6.3.3 SYSTEM & NETWORK INTEGRATION
7 GLOBAL CLOUD DATABASE MARKET, BY DEPLOYMENT MODEL
7.1 OVERVIEW
7.2 PUBLIC CLOUD
7.3 PRIVATE CLOUD
7.4 HYRBID CLOUD
8 GLOBAL CLOUD DATABASE MARKET, BY TYPE
8.1 OVERVIEW
8.2 RELATIONAL
8.3 NON-RELATIONAL
9 GLOBAL CLOUD DATABASE MARKET, BY ENTERPRISE SIZE
9.1 OVERVIEW
9.2 SMALL SCALE ENTERPRISES
9.3 MEDIUM SCALE ENTERPRISES
9.4 LARGE SCALE ENTERPRISES
10 GLOBAL CLOUD DATABASE MARKET, BY END-USER
10.1 OVERVIEW
10.2 BFSI
10.2.1 BY OFFERING
10.2.1.1. SOFTWARE
10.2.1.1.1. DATABASE APPLICATION BUILDER
10.2.1.1.2. DATA ENCRYPTION
10.2.1.1.3. DATA SCALING & REPLICATION
10.2.1.1.4. OTHERS
10.2.1.2. SERVICES
10.2.1.2.1. TRAINING & CONSULTING
10.2.1.2.2. DEPLOYMENT & MAINTENANCE
10.2.1.2.3. SYSTEM & NETWORK INTEGRATION
10.3 AEROSPACE & DEFENSE
10.3.1 BY OFFERING
10.3.1.1. SOFTWARE
10.3.1.1.1. DATABASE APPLICATION BUILDER
10.3.1.1.2. DATA ENCRYPTION
10.3.1.1.3. DATA SCALING & REPLICATION
10.3.1.1.4. OTHERS
10.3.1.2. SERVICES
10.3.1.2.1. TRAINING & CONSULTING
10.3.1.2.2. DEPLOYMENT & MAINTENANCE
10.3.1.2.3. SYSTEM & NETWORK INTEGRATION
10.4 IT & TELECOMMUNICATIONS
10.4.1 BY OFFERING
10.4.1.1. SOFTWARE
10.4.1.1.1. DATABASE APPLICATION BUILDER
10.4.1.1.2. DATA ENCRYPTION
10.4.1.1.3. DATA SCALING & REPLICATION
10.4.1.1.4. OTHERS
10.4.1.2. SERVICES
10.4.1.2.1. TRAINING & CONSULTING
10.4.1.2.2. DEPLOYMENT & MAINTENANCE
10.4.1.2.3. SYSTEM & NETWORK INTEGRATION
10.5 MEDIA & ENTERTAINMENT
10.5.1 BY OFFERING
10.5.1.1. SOFTWARE
10.5.1.1.1. DATABASE APPLICATION BUILDER
10.5.1.1.2. DATA ENCRYPTION
10.5.1.1.3. DATA SCALING & REPLICATION
10.5.1.1.4. OTHERS
10.5.1.2. SERVICES
10.5.1.2.1. TRAINING & CONSULTING
10.5.1.2.2. DEPLOYMENT & MAINTENANCE
10.5.1.2.3. SYSTEM & NETWORK INTEGRATION
10.6 HEALTHCARE
10.6.1 BY OFFERING
10.6.1.1. SOFTWARE
10.6.1.1.1. DATABASE APPLICATION BUILDER
10.6.1.1.2. DATA ENCRYPTION
10.6.1.1.3. DATA SCALING & REPLICATION
10.6.1.1.4. OTHERS
10.6.1.2. SERVICES
10.6.1.2.1. TRAINING & CONSULTING
10.6.1.2.2. DEPLOYMENT & MAINTENANCE
10.6.1.2.3. SYSTEM & NETWORK INTEGRATION
10.7 RETAIL
10.7.1 BY OFFERING
10.7.1.1. SOFTWARE
10.7.1.1.1. DATABASE APPLICATION BUILDER
10.7.1.1.2. DATA ENCRYPTION
10.7.1.1.3. DATA SCALING & REPLICATION
10.7.1.1.4. OTHERS
10.7.1.2. SERVICES
10.7.1.2.1. TRAINING & CONSULTING
10.7.1.2.2. DEPLOYMENT & MAINTENANCE
10.7.1.2.3. SYSTEM & NETWORK INTEGRATION
10.8 OTHERS
10.8.1 BY OFFERING
10.8.1.1. SOFTWARE
10.8.1.1.1. DATABASE APPLICATION BUILDER
10.8.1.1.2. DATA ENCRYPTION
10.8.1.1.3. DATA SCALING & REPLICATION
10.8.1.1.4. OTHERS
10.8.1.2. SERVICES
10.8.1.2.1. TRAINING & CONSULTING
10.8.1.2.2. DEPLOYMENT & MAINTENANCE
10.8.1.2.3. SYSTEM & NETWORK INTEGRATION
11 GLOBAL CLOUD DATABASE MARKET, BY REGION
11.1 GLOBAL CLOUD DATABASE MARKET, (ALL SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)
11.1.1 NORTH AMERICA
11.1.1.1. U.S.
11.1.1.2. CANADA
11.1.1.3. MEXICO
11.1.2 EUROPE
11.1.2.1. GERMANY
11.1.2.2. FRANCE
11.1.2.3. U.K.
11.1.2.4. ITALY
11.1.2.5. SPAIN
11.1.2.6. RUSSIA
11.1.2.7. TURKEY
11.1.2.8. BELGIUM
11.1.2.9. NETHERLANDS
11.1.2.10. SWITZERLAND
11.1.2.11. DENMARK
11.1.2.12. SWEDEN
11.1.2.13. POLAND
11.1.2.14. NORWAY
11.1.2.15. FINLAND
11.1.2.16. REST OF EUROPE
11.1.3 ASIA PACIFIC
11.1.3.1. JAPAN
11.1.3.2. CHINA
11.1.3.3. SOUTH KOREA
11.1.3.4. INDIA
11.1.3.5. AUSTRALIA
11.1.3.6. SINGAPORE
11.1.3.7. THAILAND
11.1.3.8. MALAYSIA
11.1.3.9. INDONESIA
11.1.3.10. PHILIPPINES
11.1.3.11. NEW ZEALAND
11.1.3.12. TAIWAN
11.1.3.13. VIETNAM
11.1.3.14. REST OF ASIA PACIFIC
11.1.4 SOUTH AMERICA
11.1.4.1. BRAZIL
11.1.4.2. ARGENTINA
11.1.4.3. REST OF SOUTH AMERICA
11.1.5 MIDDLE EAST AND AFRICA
11.1.5.1. SOUTH AFRICA
11.1.5.2. EGYPT
11.1.5.3. BAHRAIN
11.1.5.4. QATAR
11.1.5.5. KUWAIT
11.1.5.6. OMAN
11.1.5.7. SAUDI ARABIA
11.1.5.8. U.A.E
11.1.5.9. ISRAEL
11.1.5.10. REST OF MIDDLE EAST AND AFRICA
11.1.6 KEY PRIMARY INSIGHTS: BY MAJOR COUNTRIES
12 GLOBAL CLOUD DATABASE MARKET, COMPANY LANDSCAPE
12.1 COMPANY SHARE ANALYSIS: NORTH AMERICA
12.2 COMPANY SHARE ANALYSIS: EUROPE
12.3 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
12.4 MERGERS & ACQUISITIONS
12.5 NEW PRODUCT DEVELOPMENT & APPROVALS
12.6 EXPANSIONS
12.7 REGULATORY CHANGES
12.8 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS
13 GLOBAL CLOUD DATABASE MARKET, SWOT ANALYSIS
14 GLOBAL CLOUD DATABASE MARKET, COMPANY PROFILE
14.1 MICROSOFT
14.1.1 COMPANY SNAPSHOT
14.1.2 REVENUE ANALYSIS
14.1.3 GEOGRAPHIC PRESENCE
14.1.4 PRODUCT PORTFOLIO
14.1.5 RECENT DEVELOPMENTS
14.2 ORACLE
14.2.1 COMPANY SNAPSHOT
14.2.2 REVENUE ANALYSIS
14.2.3 GEOGRAPHIC PRESENCE
14.2.4 PRODUCT PORTFOLIO
14.2.5 RECENT DEVELOPMENTS
14.3 IBM
14.3.1 COMPANY SNAPSHOT
14.3.2 REVENUE ANALYSIS
14.3.3 GEOGRAPHIC PRESENCE
14.3.4 PRODUCT PORTFOLIO
14.3.5 RECENT DEVELOPMENTS
14.4 SAP SE
14.4.1 COMPANY SNAPSHOT
14.4.2 REVENUE ANALYSIS
14.4.3 GEOGRAPHIC PRESENCE
14.4.4 PRODUCT PORTFOLIO
14.4.5 RECENT DEVELOPMENTS
14.5 AMAZON WEB SERVICES
14.5.1 COMPANY SNAPSHOT
14.5.2 REVENUE ANALYSIS
14.5.3 GEOGRAPHIC PRESENCE
14.5.4 PRODUCT PORTFOLIO
14.5.5 RECENT DEVELOPMENTS
14.6 TERADATA
14.6.1 COMPANY SNAPSHOT
14.6.2 REVENUE ANALYSIS
14.6.3 GEOGRAPHIC PRESENCE
14.6.4 PRODUCT PORTFOLIO
14.6.5 RECENT DEVELOPMENTS
14.7 CLOUDERA, INC
14.7.1 COMPANY SNAPSHOT
14.7.2 REVENUE ANALYSIS
14.7.3 GEOGRAPHIC PRESENCE
14.7.4 PRODUCT PORTFOLIO
14.7.5 RECENT DEVELOPMENTS
14.8 DATASTAX
14.8.1 COMPANY SNAPSHOT
14.8.2 REVENUE ANALYSIS
14.8.3 GEOGRAPHIC PRESENCE
14.8.4 PRODUCT PORTFOLIO
14.8.5 RECENT DEVELOPMENTS
14.9 SALESFORCE
14.9.1 COMPANY SNAPSHOT
14.9.2 REVENUE ANALYSIS
14.9.3 GEOGRAPHIC PRESENCE
14.9.4 PRODUCT PORTFOLIO
14.9.5 RECENT DEVELOPMENTS
14.1 RACKSPACE
14.10.1 COMPANY SNAPSHOT
14.10.2 REVENUE ANALYSIS
14.10.3 GEOGRAPHIC PRESENCE
14.10.4 PRODUCT PORTFOLIO
14.10.5 RECENT DEVELOPMENTS
14.11 LUMEN
14.11.1 COMPANY SNAPSHOT
14.11.2 REVENUE ANALYSIS
14.11.3 GEOGRAPHIC PRESENCE
14.11.4 PRODUCT PORTFOLIO
14.11.5 RECENT DEVELOPMENTS
14.12 HEWLETT-PACKARD ENTERPRISE
14.12.1 COMPANY SNAPSHOT
14.12.2 REVENUE ANALYSIS
14.12.3 GEOGRAPHIC PRESENCE
14.12.4 PRODUCT PORTFOLIO
14.12.5 RECENT DEVELOPMENTS
14.13 INTERSYSTEMS CORPORATION
14.13.1 COMPANY SNAPSHOT
14.13.2 REVENUE ANALYSIS
14.13.3 GEOGRAPHIC PRESENCE
14.13.4 PRODUCT PORTFOLIO
14.13.5 RECENT DEVELOPMENTS
14.14 GOOGLE
14.14.1 COMPANY SNAPSHOT
14.14.2 REVENUE ANALYSIS
14.14.3 GEOGRAPHIC PRESENCE
14.14.4 PRODUCT PORTFOLIO
14.14.5 RECENT DEVELOPMENTS
14.15 EMBARCADERO TECHNOLOGIES
14.15.1 COMPANY SNAPSHOT
14.15.2 REVENUE ANALYSIS
14.15.3 GEOGRAPHIC PRESENCE
14.15.4 PRODUCT PORTFOLIO
14.15.5 RECENT DEVELOPMENTS
14.16 ALIBABA CLOUD
14.16.1 COMPANY SNAPSHOT
14.16.2 REVENUE ANALYSIS
14.16.3 GEOGRAPHIC PRESENCE
14.16.4 PRODUCT PORTFOLIO
14.16.5 RECENT DEVELOPMENTS
14.17 TENCENT CLOUD
14.17.1 COMPANY SNAPSHOT
14.17.2 REVENUE ANALYSIS
14.17.3 GEOGRAPHIC PRESENCE
14.17.4 PRODUCT PORTFOLIO
14.17.5 RECENT DEVELOPMENTS
14.18 HUAWEI TECHNOLOGIES CO, LTD
14.18.1 COMPANY SNAPSHOT
14.18.2 REVENUE ANALYSIS
14.18.3 GEOGRAPHIC PRESENCE
14.18.4 PRODUCT PORTFOLIO
14.18.5 RECENT DEVELOPMENTS
14.19 CHINA TELECOM CLOUD LIMITED
14.19.1 COMPANY SNAPSHOT
14.19.2 REVENUE ANALYSIS
14.19.3 GEOGRAPHIC PRESENCE
14.19.4 PRODUCT PORTFOLIO
14.19.5 RECENT DEVELOPMENTS
14.2 GARANTIA DATA
14.20.1 COMPANY SNAPSHOT
14.20.2 REVENUE ANALYSIS
14.20.3 GEOGRAPHIC PRESENCE
14.20.4 PRODUCT PORTFOLIO
14.20.5 RECENT DEVELOPMENTS
14.21 ENTERPRISEDB
14.21.1 COMPANY SNAPSHOT
14.21.2 REVENUE ANALYSIS
14.21.3 GEOGRAPHIC PRESENCE
14.21.4 PRODUCT PORTFOLIO
14.21.5 RECENT DEVELOPMENTS
NOTE: THE COMPANIES PROFILED IS NOT EXHAUSTIVE LIST AND IS AS PER OUR PREVIOUS CLIENT REQUIREMENT. WE PROFILE MORE THAN 100 COMPANIES IN OUR STUDY AND HENCE THE LIST OF COMPANIES CAN BE MODIFIED OR REPLACED ON REQUEST
15 RELATED REPORTS
16 QUESTIONNAIRE
17 ABOUT DATA BRIDGE MARKET RESEARCH
Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
