Global Relational Database Market
Tamanho do mercado em biliões de dólares
CAGR :
% 
USD
62.61 Billion
USD
140.18 Billion
2023
2031
 Período de previsão |
2024 –2031 |
 Tamanho do mercado (ano base ) | USD 62.61 Billion |
 Tamanho do mercado ( Ano de previsão) | USD 140.18 Billion |
 CAGR |
% |
| Principais participantes do mercado |
Global Relational Database Market, By Type (In-Memory, Disk-Based, and Others), Deployment (Cloud-Based, and On-Premises), End User (BFSI, IT and Telecom, Retail and E-commerce, Manufacturing, Healthcare, and Others) - Industry Trends and Forecast to 2031.
Relational Database Market Analysis and Size
The relational database market continues to grow due to its fundamental role in data management for businesses. Key drivers include the increasing volume of data generated, demand for real-time analytics, and the adoption of cloud-based solutions. Major players such as Oracle, Microsoft, and IBM dominate the market, offering scalable and efficient database solutions to meet diverse business needs.
Data Bridge Market Research analyses that the global relational database market which was USD 62.61 billion in 2023, is expected to reach USD 140.18 billion by 2031, and is expected to undergo a CAGR of 10.60% during the forecast period 2024-2031. “Cloud” dominates development segment of the global relational database market due to its scalability, cost-effectiveness, and accessibility benefits, attracting businesses seeking flexible data management solutions. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, 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 |
2024 to 2031 |
|
Base Year |
2023 |
|
Historic Years |
2022 ((Customized 2016 to 2021) |
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Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
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Segments Covered |
Type (In-Memory, Disk-Based, and Others), Deployment (Cloud-Based, and On-Premises), End User (BFSI, IT and Telecom, Retail and E-commerce, Manufacturing, Healthcare, and Others) |
|
Countries Covered |
U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of the Middle East and Africa |
|
Market Players Covered |
Oracle (U.S.), Microsoft (U.S.), SAP SE (Germany), Teradata Corporation (U.S.), IBM (U.S.), PostgreSQL (U.S.), Amazon.com Inc (U.S.), MariaDB (Finland), Informix Corporation (U.S.), Sequel Pro (U.S.), SingleStore (U.S.), TmaxSoft (South Korea), Connx Solutions (U.S.), MongoDB (U.S.), Couchbase (U.S.), Aerospike (U.S.) among others |
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Market Opportunities |
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Market Definition
A relational database is a type of database that stores and organizes data into tables consisting of rows and columns, with each row representing a record and each column representing a specific attribute of the data. These databases utilize structured query language (SQL) for managing and querying data, offering a powerful framework for storing and retrieving information efficiently. I
Relational Database Market Dynamics
Drivers
- Growing Demand for Data Integration and Management
As businesses worldwide generate increasing volumes of data, there is a heightened need for efficient data integration and management solutions. Relational databases offer structured data storage and retrieval capabilities, making them essential for organizations aiming to consolidate and manage their data effectively.
- Rising Adoption of Cloud Computing
The proliferation of cloud computing has significantly impacted the relational database market. Cloud-based relational database services offer scalability, flexibility, and cost-effectiveness, driving their adoption across various industries. Organizations are leveraging cloud databases to streamline operations, enhance accessibility, and reduce infrastructure costs.
Opportunities
- Big Data Analytics Integration
The integration of relational databases with big data analytics platforms presents a significant opportunity for market growth. Businesses are increasingly relying on data analytics to derive actionable insights from vast amounts of structured data stored in relational databases. This integration facilitates advanced analytics, predictive modeling, and decision-making processes, driving demand for relational database solutions.
- Emerging Markets and Industry Verticals
The expanding adoption of relational databases in emerging markets and industry verticals such as healthcare, retail, and manufacturing presents lucrative opportunities for market players. As these sectors digitize their operations and embrace data-driven approaches, the demand for relational database solutions for storing, managing, and analyzing data is expected to surge.
- Advancements in Database Technologies
Ongoing advancements in database technologies, including in-memory computing, distributed databases, and graph databases, present opportunities for innovation within the relational database market. Vendors are investing in research and development to enhance the performance, scalability, and security of relational database systems, thereby catering to evolving customer needs and preferences.
Restraints/Challenges
- Data Security and Privacy Concerns
Despite the benefits of relational databases, data security and privacy concerns remain a significant restraint on market growth. High-profile data breaches and regulatory compliance requirements have heightened awareness about the importance of securing sensitive information stored in databases. Addressing these concerns requires robust security measures and compliance frameworks, which may pose challenges for some organizations.
- Competition from NoSQL and New Database Paradigms
The relational database market faces increasing competition from NoSQL databases and emerging database paradigms such as NewSQL and distributed ledger technology (DLT). These alternatives offer advantages such as schema flexibility, horizontal scalability, and support for unstructured data, challenging the traditional dominance of relational databases.
This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, the 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 market contact the Data Bridge Market Research for an Analyst Brief, our team will help you make an informed market decision to achieve market growth.
Recent Development
- In October 2023, Microsoft introduced a new Azure SQL Database free offering, available for public preview, which represents a significant expansion of its cloud services. This offering allows users to access a 32 GB general-purpose, serverless Azure SQL database with 100,000 vCore seconds of compute free monthly
- In October 2022, Oracle unveiled its latest advancements in database technology with the introduction of Oracle Database 23c Beta. This release is designed to cater to diverse data types, workloads, and development styles, incorporating a range of innovations across Oracle's database services and product portfolio
Relational Database Market Scope
The marketis segmented on the basis of type, deployment, and end user. The growth amongst these segments will help you analyze meager 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.
Type
- In-Memory
- Disk-Based
- Others
Deployment
- Cloud-Based
- On-Premises
End User
- BFSI
- IT and Telecom
- Retail and E-commerce
- Manufacturing
- Healthcare
- Others
Relational Database Market Region Analysis/Insights
The market is analyzed and market size insights and trends are provided by region, type, deployment, and end user as referenced above.
The regions covered in the are North America, South America, Europe, Asia-Pacific, and the Middle East and Africa. The countries covered in the Global relational database marketreport are U.S., Canada, Mexico, Brazil, Argentina, the Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of the Middle East and Africa.
The North American region emerges as the dominant force in the global relational database market, due to a high concentration of technology companies, robust infrastructure, and early adoption of cloud computing.
Europe is anticipated to be the fastest-growing region as businesses across various sectors increasingly invest in digital transformation initiatives, driving demand for relational database solutions to manage and analyze their data effectively amidst evolving regulatory frameworks.
The region section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as downstream 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 the challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the region data.
Competitive Landscape and Database Market Share Analysis
The 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, regional presence, 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 market.
Some of the major players operating in the market are:
- Oracle (U.S.)
- Microsoft (U.S.)
- SAP SE (Germany)
- Teradata Corporation (U.S.)
- IBM (U.S.)
- PostgreSQL (U.S.)
- Amazon.com Inc (U.S.)
- MariaDB (Finland)
- Informix Corporation (U.S.)
- Sequel Pro (U.S.)
- SingleStore (U.S.)
- TmaxSoft (South Korea)
- Connx Solutions (U.S.)
- MongoDB (U.S.)
- Couchbase (U.S.)
- Aerospike (U.S.)
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Índice
1. INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL RELATIONAL 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 RELATIONAL DATABASE MARKET
2.2.1 VENDOR POSITIONING GRID
2.2.2 TECHNOLOGY LIFE LINE CURVE
2.2.3 MARKET GUIDE
2.2.4 COMPANY POSITIONING GRID
2.2.5 MULTIVARIATE MODELLING
2.2.6 STANDARDS OF MEASUREMENT
2.2.7 TOP TO BOTTOM ANALYSIS
2.2.8 VENDOR SHARE ANALYSIS
2.2.9 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.2.10 DATA POINTS FROM KEY SECONDARY DATABASES
2.3 GLOBAL RELATIONAL DATABASE MARKET: RESEARCH SNAPSHOT
2.4 ASSUMPTIONS
3. MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4. EXECUTIVE SUMMARY
5. PREMIUM INSIGHTS
5.1 TECHNOLOGICAL TRENDS
5.2 PORTER’S FIVE FORCES ANALYSIS
5.3 REGULATORY STANDARDS
5.4 CASE STUDY
5.5 COMPANY COMPARATIVE ANALYSIS
6. GLOBAL RELATIONAL DATABASE MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOLUTION
6.2.1 TRADITIONAL RELATIONAL DATABASE MANAGEMENT SYSTEMS (RDBMS)
6.2.1.1. ENTERPRISE RDBMS
6.2.1.2. STANDARD RDBMS
6.2.1.3. OPEN-SOURCE RDBMS
6.2.2 CLOUD-BASED RELATIONAL DATABASES
6.2.2.1. PUBLIC CLOUD RDBMS
6.2.2.2. PRIVATE CLOUD RDBMS
6.2.2.3. HYBRID CLOUD RDBMS
6.2.3 DISTRIBUTED RELATIONAL DATABASES
6.2.3.1. DISTRIBUTED SQL DATABASES
6.2.3.2. MULTI-MODEL DATABASES
6.2.4 IN-MEMORY DATABASES
6.2.5 EMBEDDED RELATIONAL DATABASES
6.2.6 DATA WAREHOUSE SOLUTIONS
6.2.6.1. CLOUD DATA WAREHOUSES
6.2.6.2. ON-PREMISES DATA WAREHOUSES
6.2.7 DATABASE AS A SERVICE (DBAAS)
6.2.7.1. MANAGED RDBMS SERVICES
6.2.7.2. SERVERLESS DATABASES
6.2.8 HIGH-PERFORMANCE RELATIONAL DATABASES
6.2.9 SPECIALIZED RELATIONAL DATABASES
6.2.9.1. GEOSPATIAL DATABASES
6.2.9.2. TIME-SERIES DATABASES
6.2.10 DATA INTEGRATION AND REPLICATION SOLUTIONS
6.2.10.1. DATA INTEGRATION TOOLS
6.2.10.2. DATA REPLICATION SOLUTIONS
6.2.11 OTHERS
6.3 SERVICE
6.3.1 DATABASE DESIGN AND ARCHITECTURE SERVICES
6.3.2 DEPLOYMENT & INTEGRATION
6.3.3 MANAGED DATABASE SERVICES
6.3.3.1. DATABASE AS A SERVICE (DBAAS)
6.3.3.2. DATABASE HOSTING
6.3.3.3. MANAGED BACKUP AND RECOVERY
6.3.4 SUPPORT & MAINTENANCE
6.3.4.1. TECHNICAL SUPPORT
6.3.4.2. CONSULTING SERVICES
6.3.4.3. TRAINING AND WORKSHOPS
6.3.5 COMPLIANCE AND AUDITING SERVICES
6.3.5.1. COMPLIANCE AUDITS
6.3.5.2. AUDIT TRAILS
7. GLOBAL RELATIONAL DATABASE MARKET, BY TYPE
7.1 OVERVIEW
7.2 IN-MEMORY
7.3 DISK-BASED
8. GLOBAL RELATIONAL DATABASE MARKET, BY DATABASE TYPE
8.1 OVERVIEW
8.2 RELATIONAL DATABASE MANAGEMENT SYSTEMS (RDBMS)
8.2.1 TRADITIONAL RDBMS
8.2.2 NEWSQL
8.3 DISTRIBUTED DATABASES
8.3.1 DISTRIBUTED SQL DATABASES
8.3.2 MULTI-MODEL DATABASES
9. GLOBAL RELATIONAL DATABASE MARKET, BY FUNCTIONALITY
9.1 OVERVIEW
9.2 TRANSACTIONAL DATABASES
9.3 ANALYTICAL DATABASES
9.4 OPERATIONAL DATABASES
10. GLOBAL RELATIONAL DATABASE MARKET, BY TECHNOLOGY
10.1 OVERVIEW
10.2 SQL DATABASES
10.2.1 TRADITIONAL SQL
10.2.2 ADVANCED SQL
10.3 NOSQL DATABASES
10.3.1 DOCUMENT STORES
10.3.2 KEY-VALUE STORES
10.3.3 COLUMN STORES
11. GLOBAL RELATIONAL DATABASE MARKET, BY DEPLOYMENT
11.1 OVERVIEW
11.2 CLOUD-BASED
11.2.1 PUBLIC CLOUD
11.2.2 PRIVATE CLOUD
11.2.3 HYBRID CLOUD
11.3 ON-PREMISES
11.3.1 ENTERPRISE DATABASES
11.3.2 SMB DATABASES
12. GLOBAL RELATIONAL DATABASE MARKET, BY ORGANIZATION SIZE
12.1 OVERVIEW
12.2 LARGE SCALE ORGANIZATIONS
12.2.1 BY DEPLOYMENT
12.2.1.1. CLOUD-BASED
12.2.1.2. ON-PREMISES
12.3 MEDIUM SCALE ORGANIZATIONS
12.3.1 BY DEPLOYMENT
12.3.1.1. CLOUD-BASED
12.3.1.2. ON-PREMISES
12.4 SMALL SCALE ORGANIZATIONS
12.4.1 BY DEPLOYMENT
12.4.1.1. CLOUD-BASED
12.4.1.2. ON-PREMISES
13. GLOBAL RELATIONAL DATABASE MARKET, BY END USER
13.1 OVERVIEW
13.2 BFSI
13.2.1 BY OFFEIRNG
13.2.1.1. SOLUTION
13.2.1.2. SERVICE
13.2.1.2.1. DEPLOYMENT & INTEGRATION
13.2.1.2.2. CONSULTING & TRAINING
13.2.1.2.3. SUPPORT & MAINTENANCE
13.3 IT AND TELECOM
13.3.1 BY OFFEIRNG
13.3.1.1. SOLUTION
13.3.1.2. SERVICE
13.3.1.2.1. DEPLOYMENT & INTEGRATION
13.3.1.2.2. CONSULTING & TRAINING
13.3.1.2.3. SUPPORT & MAINTENANCE
13.4 RETAIL AND E-COMMERCE
13.4.1 BY OFFEIRNG
13.4.1.1. SOLUTION
13.4.1.2. SERVICE
13.4.1.2.1. DEPLOYMENT & INTEGRATION
13.4.1.2.2. CONSULTING & TRAINING
13.4.1.2.3. SUPPORT & MAINTENANCE
13.5 MANUFACTURING
13.5.1 BY OFFEIRNG
13.5.1.1. SOLUTION
13.5.1.2. SERVICE
13.5.1.2.1. DEPLOYMENT & INTEGRATION
13.5.1.2.2. CONSULTING & TRAINING
13.5.1.2.3. SUPPORT & MAINTENANCE
13.6 HEALTHCARE
13.6.1 BY TYPE
13.6.1.1. PATIENT RECORDS MANAGEMENT
13.6.1.2. CLINICIAL TRIAL AND RESEARCH DATA
13.6.1.3. OTHERS
13.6.2 BY OFFEIRNG
13.6.2.1. SOLUTION
13.6.2.2. SERVICE
13.6.2.2.1. DEPLOYMENT & INTEGRATION
13.6.2.2.2. CONSULTING & TRAINING
13.6.2.2.3. SUPPORT & MAINTENANCE
13.7 GOVERNMENT
13.7.1 BY TYPE
13.7.1.1. REGULATORY COMPLIANCE
13.7.1.2. DATA MANAGEMENT
13.7.1.3. OTHERS
13.7.2 BY OFFEIRNG
13.7.2.1. SOLUTION
13.7.2.2. SERVICE
13.7.2.2.1. DEPLOYMENT & INTEGRATION
13.7.2.2.2. CONSULTING & TRAINING
13.7.2.2.3. SUPPORT & MAINTENANCE
13.8 EDUCATION
13.8.1 BY TYPE
13.8.1.1. INSTITUTIONAL DATA
13.8.1.2. LEARNING MANAGEMENT SYSTEMS (LMS)
13.8.1.3. OTHERS
13.8.2 BY OFFEIRNG
13.8.2.1. SOLUTION
13.8.2.2. SERVICE
13.8.2.2.1. DEPLOYMENT & INTEGRATION
13.8.2.2.2. CONSULTING & TRAINING
13.8.2.2.3. SUPPORT & MAINTENANCE
13.9 OTHERS
13.9.1 BY OFFEIRNG
13.9.1.1. SOLUTION
13.9.1.2. SERVICE
13.9.1.2.1. DEPLOYMENT & INTEGRATION
13.9.1.2.2. CONSULTING & TRAINING
13.9.1.2.3. SUPPORT & MAINTENANCE
14. GLOBAL RELATIONAL DATABASE MARKET, BY REGION
14.1 GLOBAL RELATIONAL DATABASE MARKET SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)
14.1.1 NORTH AMERICA
14.1.1.1. U.S.
14.1.1.2. CANADA
14.1.1.3. MEXICO
14.1.2 EUROPE
14.1.2.1. GERMANY
14.1.2.2. U.K.
14.1.2.3. FRANCE
14.1.2.4. ITALY
14.1.2.5. SPAIN
14.1.2.6. THE NETHERLANDS
14.1.2.7. SWITZERLAND
14.1.2.8. TURKEY
14.1.2.9. BELGIUM
14.1.2.10. RUSSIA
14.1.2.11. NORWAY
14.1.2.12. SWEDEN
14.1.2.13. DENMARK
14.1.2.14. POLAND
14.1.2.15. FINLAND
14.1.2.16. REST OF EUROPE
14.1.3 ASIA-PACIFIC
14.1.3.1. CHINA
14.1.3.2. JAPAN
14.1.3.3. SOUTH KOREA
14.1.3.4. INDIA
14.1.3.5. SINGAPORE
14.1.3.6. AUSTRALIA
14.1.3.7. NEW ZEALAND
14.1.3.8. MALAYSIA
14.1.3.9. PHILIPPINES
14.1.3.10. THAILAND
14.1.3.11. INDONESIA
14.1.3.12. TAIWAN
14.1.3.13. VIETNAM
14.1.3.14. REST OF ASIA-PACIFIC
14.1.4 SOUTH AMERICA
14.1.4.1. BRAZIL
14.1.4.2. ARGENTINA
14.1.4.3. REST OF SOUTH AMERICA
14.1.5 MIDDLE EAST AND AFRICA
14.1.5.1. SOUTH AFRICA
14.1.5.2. EGYPT
14.1.5.3. SAUDI ARABIA
14.1.5.4. U.A.E
14.1.5.5. ISRAEL
14.1.5.6. OMAN
14.1.5.7. BAHRAIN
14.1.5.8. KUWAIT
14.1.5.9. QATAR
14.1.5.10. REST OF MIDDLE EAST AND AFRICA
14.1.6 KEY PRIMARY INSIGHTS: BY MAJOR COUNTRIES
15. GLOBAL RELATIONAL DATABASE MARKET, COMPANY LANDSCAPE
15.1 COMPANY SHARE ANALYSIS: GLOBAL
15.2 COMPANY SHARE ANALYSIS: NORTH AMERICA
15.3 COMPANY SHARE ANALYSIS: EUROPE
15.4 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
15.5 MERGERS & ACQUISITIONS
15.6 NEW PRODUCT DEVELOPMENT & APPROVALS
15.7 EXPANSIONS
15.8 REGULATORY CHANGES
15.9 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS
16. GLOBAL RELATIONAL DATABASE MARKET, SWOT AND DBMR ANALYSIS
17. GLOBAL RELATIONAL DATABASE MARKET, COMPANY PROFILE
17.1 ORACLE
17.1.1 COMPANY SNAPSHOT
17.1.2 REVENUE ANALYSIS
17.1.3 GEOGRAPHIC PRESENCE
17.1.4 PRODUCT PORTFOLIO
17.1.5 RECENT DEVELOPMENTS
17.2 IBM
17.2.1 COMPANY SNAPSHOT
17.2.2 REVENUE ANALYSIS
17.2.3 GEOGRAPHIC PRESENCE
17.2.4 PRODUCT PORTFOLIO
17.2.5 RECENT DEVELOPMENTS
17.3 MICROSOFT
17.3.1 COMPANY SNAPSHOT
17.3.2 REVENUE ANALYSIS
17.3.3 GEOGRAPHIC PRESENCE
17.3.4 PRODUCT PORTFOLIO
17.3.5 RECENT DEVELOPMENTS
17.4 SAP
17.4.1 COMPANY SNAPSHOT
17.4.2 REVENUE ANALYSIS
17.4.3 GEOGRAPHIC PRESENCE
17.4.4 PRODUCT PORTFOLIO
17.4.5 RECENT DEVELOPMENTS
17.5 AMAZON
17.5.1 COMPANY SNAPSHOT
17.5.2 REVENUE ANALYSIS
17.5.3 GEOGRAPHIC PRESENCE
17.5.4 PRODUCT PORTFOLIO
17.5.5 RECENT DEVELOPMENTS
17.6 GOOGLE
17.6.1 COMPANY SNAPSHOT
17.6.2 REVENUE ANALYSIS
17.6.3 GEOGRAPHIC PRESENCE
17.6.4 PRODUCT PORTFOLIO
17.6.5 RECENT DEVELOPMENTS
17.7 SAP SE
17.7.1 COMPANY SNAPSHOT
17.7.2 REVENUE ANALYSIS
17.7.3 GEOGRAPHIC PRESENCE
17.7.4 PRODUCT PORTFOLIO
17.7.5 RECENT DEVELOPMENTS
17.8 SNOWFLAKE INC.
17.8.1 COMPANY SNAPSHOT
17.8.2 REVENUE ANALYSIS
17.8.3 GEOGRAPHIC PRESENCE
17.8.4 PRODUCT PORTFOLIO
17.8.5 RECENT DEVELOPMENTS
17.9 REDIS LABS
17.9.1 COMPANY SNAPSHOT
17.9.2 REVENUE ANALYSIS
17.9.3 GEOGRAPHIC PRESENCE
17.9.4 PRODUCT PORTFOLIO
17.9.5 RECENT DEVELOPMENTS
17.10 TERADATA CORPORATION
17.10.1 COMPANY SNAPSHOT
17.10.2 REVENUE ANALYSIS
17.10.3 GEOGRAPHIC PRESENCE
17.10.4 PRODUCT PORTFOLIO
17.10.5 RECENT DEVELOPMENTS
17.11 VERTICA (HEWLETT PACKARD ENTERPRISE)
17.11.1 COMPANY SNAPSHOT
17.11.2 REVENUE ANALYSIS
17.11.3 GEOGRAPHIC PRESENCE
17.11.4 PRODUCT PORTFOLIO
17.11.5 RECENT DEVELOPMENTS
17.12 CLOUDERA, INC.
17.12.1 COMPANY SNAPSHOT
17.12.2 REVENUE ANALYSIS
17.12.3 GEOGRAPHIC PRESENCE
17.12.4 PRODUCT PORTFOLIO
17.12.5 RECENT DEVELOPMENTS
17.13 YUGABYTE, INC.
17.13.1 COMPANY SNAPSHOT
17.13.2 REVENUE ANALYSIS
17.13.3 GEOGRAPHIC PRESENCE
17.13.4 PRODUCT PORTFOLIO
17.13.5 RECENT DEVELOPMENTS
17.14 DASSAULT SYSTÈMES
17.14.1 COMPANY SNAPSHOT
17.14.2 REVENUE ANALYSIS
17.14.3 GEOGRAPHIC PRESENCE
17.14.4 PRODUCT PORTFOLIO
17.14.5 RECENT DEVELOPMENTS
17.15 EXASOL
17.15.1 COMPANY SNAPSHOT
17.15.2 REVENUE ANALYSIS
17.15.3 GEOGRAPHIC PRESENCE
17.15.4 PRODUCT PORTFOLIO
17.15.5 RECENT DEVELOPMENTS
17.16 ACTIAN CORPORATION
17.16.1 COMPANY SNAPSHOT
17.16.2 REVENUE ANALYSIS
17.16.3 GEOGRAPHIC PRESENCE
17.16.4 PRODUCT PORTFOLIO
17.16.5 RECENT DEVELOPMENTS
17.17 COUCHBASE, INC.
17.17.1 COMPANY SNAPSHOT
17.17.2 REVENUE ANALYSIS
17.17.3 GEOGRAPHIC PRESENCE
17.17.4 PRODUCT PORTFOLIO
17.17.5 RECENT DEVELOPMENTS
17.18 MARIADB
17.18.1 COMPANY SNAPSHOT
17.18.2 REVENUE ANALYSIS
17.18.3 GEOGRAPHIC PRESENCE
17.18.4 PRODUCT PORTFOLIO
17.18.5 RECENT DEVELOPMENTS
17.19 SINGLESTORE, INC.
17.19.1 COMPANY SNAPSHOT
17.19.2 REVENUE ANALYSIS
17.19.3 GEOGRAPHIC PRESENCE
17.19.4 PRODUCT PORTFOLIO
17.19.5 RECENT DEVELOPMENTS
17.20 KINETICA DB INC.
17.20.1 COMPANY SNAPSHOT
17.20.2 REVENUE ANALYSIS
17.20.3 GEOGRAPHIC PRESENCE
17.20.4 PRODUCT PORTFOLIO
17.20.5 RECENT DEVELOPMENTS
17.21 ALTIBASE
17.21.1 COMPANY SNAPSHOT
17.21.2 REVENUE ANALYSIS
17.21.3 GEOGRAPHIC PRESENCE
17.21.4 PRODUCT PORTFOLIO
17.21.5 RECENT DEVELOPMENTS
17.22 SOFTWARE AG
17.22.1 COMPANY SNAPSHOT
17.22.2 REVENUE ANALYSIS
17.22.3 GEOGRAPHIC PRESENCE
17.22.4 PRODUCT PORTFOLIO
17.22.5 RECENT DEVELOPMENTS
17.23 T-SYSTEMS INTERNATIONAL GMBH
17.23.1 COMPANY SNAPSHOT
17.23.2 REVENUE ANALYSIS
17.23.3 GEOGRAPHIC PRESENCE
17.23.4 PRODUCT PORTFOLIO
17.23.5 RECENT DEVELOPMENTS
17.24 OCA SOLUTIONS
17.24.1 COMPANY SNAPSHOT
17.24.2 REVENUE ANALYSIS
17.24.3 GEOGRAPHIC PRESENCE
17.24.4 PRODUCT PORTFOLIO
17.24.5 RECENT DEVELOPMENTS
17.25 HUAWEI CLOUD COMPUTING TECHNOLOGIES CO., LTD.
17.25.1 COMPANY SNAPSHOT
17.25.2 REVENUE ANALYSIS
17.25.3 GEOGRAPHIC PRESENCE
17.25.4 PRODUCT PORTFOLIO
17.25.5 RECENT DEVELOPMENTS
18. CONCLUSION
19. QUESTIONNAIRE
20. RELATED REPORTS
21. ABOUT DATA BRIDGE MARKET RESEARCH
Metodologia de Investigação
A recolha de dados e a análise do ano base são feitas através de módulos de recolha de dados com amostras grandes. A etapa inclui a obtenção de informações de mercado ou dados relacionados através de diversas fontes e estratégias. Inclui examinar e planear antecipadamente todos os dados adquiridos no passado. Da mesma forma, envolve o exame de inconsistências de informação observadas em diferentes fontes de informação. Os dados de mercado são analisados e estimados utilizando modelos estatísticos e coerentes de mercado. Além disso, a análise da quota de mercado e a análise das principais tendências são os principais fatores de sucesso no relatório de mercado. Para saber mais, solicite uma chamada de analista ou abra a sua consulta.
A principal metodologia de investigação utilizada pela equipa de investigação do DBMR é a triangulação de dados que envolve a mineração de dados, a análise do impacto das variáveis de dados no mercado e a validação primária (especialista do setor). Os modelos de dados incluem grelha de posicionamento de fornecedores, análise da linha de tempo do mercado, visão geral e guia de mercado, grelha de posicionamento da empresa, análise de patentes, análise de preços, análise da quota de mercado da empresa, normas de medição, análise global versus regional e de participação dos fornecedores. Para saber mais sobre a metodologia de investigação, faça uma consulta para falar com os nossos especialistas do setor.
Personalização disponível
A Data Bridge Market Research é líder em investigação formativa avançada. Orgulhamo-nos de servir os nossos clientes novos e existentes com dados e análises que correspondem e atendem aos seus objetivos. O relatório pode ser personalizado para incluir análise de tendências de preços de marcas-alvo, compreensão do mercado para países adicionais (solicite a lista de países), dados de resultados de ensaios clínicos, revisão de literatura, mercado remodelado e análise de base de produtos . A análise de mercado dos concorrentes-alvo pode ser analisada desde análises baseadas em tecnologia até estratégias de carteira de mercado. Podemos adicionar quantos concorrentes necessitar de dados no formato e estilo de dados que procura. A nossa equipa de analistas também pode fornecer dados em tabelas dinâmicas de ficheiros Excel em bruto (livro de factos) ou pode ajudá-lo a criar apresentações a partir dos conjuntos de dados disponíveis no relatório.
