Research Note: The DBMS & Outsourced DBMS Markets
Strategic Planning Assumptions - Organized By Year:
2023
Through 2023, organizations that migrate their databases to the cloud will realize an average cost savings of 30% compared to on-premises deployments, due to reduced infrastructure, maintenance, and licensing costs. (High Confidence)
Through 2023, cloud DBMS solutions with integrated data governance frameworks will see a 40% increase in adoption, as organizations prioritize data quality, lineage, and regulatory compliance. (Moderate Confidence)
2024
Through 2024, the top 5 cloud DBMS vendors will capture 60% of the market share, leveraging their comprehensive offerings, robust partner ecosystems, and global presence. (High Confidence)
Through 2024, cloud DBMS vendors that provide vertical-specific solutions and pre-built industry templates will grow their market share by 25%, catering to the unique requirements of each sector. (Moderate Confidence)
Multi-cloud and hybrid cloud DBMS adoptions will surge, with 60% of enterprises implementing such strategies by 2024 to avoid vendor lock-in and optimize performance across cloud boundaries. (Moderate Confidence)
The rise of edge computing will drive a 45% increase in the adoption of lightweight, embeddable cloud DBMS solutions by 2024, catering to the unique requirements of edge devices and gateways. (Moderate Confidence)
2025
Investments in cloud-native DBMS architectures will double by 2025, driven by the need for elastic scalability, high availability, and operational simplicity. (Moderate Confidence)
By 2025, 65% of organizations will leverage cloud DBMS platforms with strong data security and privacy features, including encryption, access controls, and compliance certifications, to protect sensitive data assets. (High Confidence)
Low-code and no-code cloud DBMS offerings will account for 30% of new deployments by 2025, democratizing database development and empowering citizen developers. (Moderate Confidence)
The market for cloud DBMS solutions optimized for real-time streaming and event-driven architectures will double by 2025, driven by the need for instant insights and responsive applications. (High Confidence)
2026
By 2026, 70% of new cloud DBMS deployments will utilize serverless or fully-managed offerings, enabling developers to focus on application logic rather than database administration. (High Confidence)
Edge-to-cloud DBMS deployments will grow by 50% through 2026, fueled by the proliferation of IoT devices and the need for real-time data processing and analysis at the edge. (Moderate Confidence)
By 2026, the demand for cloud DBMS professionals with expertise in data modeling, performance tuning, and security will grow by 50%, outpacing the supply of skilled talent. (Moderate Confidence)
By 2026, 55% of enterprises will adopt cloud DBMS platforms with native integration capabilities for popular data analytics and business intelligence tools, enabling faster time-to-insights. (Moderate Confidence)
2027
Through 2027, the adoption of multi-model databases will triple, as organizations seek to manage diverse data types and structures within a unified cloud DBMS platform. (Moderate Confidence)
By 2027, 75% of enterprises will adopt cloud DBMS solutions with built-in AI and machine learning capabilities for automated performance optimization, anomaly detection, and predictive maintenance. (Moderate Confidence)
By 2027, 40% of enterprises will have adopted cloud DBMS solutions with built-in data virtualization capabilities, enabling seamless access to disparate data sources and reducing data silos. (Moderate Confidence)
By 2027, 60% of enterprises will leverage cloud DBMS solutions with advanced data privacy features, such as data masking, tokenization, and fine-grained access controls, to comply with evolving regulations and protect sensitive information. (High Confidence)
2028
By 2028, 80% of enterprises will have migrated their critical databases to cloud platforms, leveraging the scalability, flexibility, and cost-efficiency of cloud DBMS solutions. (High Confidence)
Through 2025:
Through 2025, cloud DBMS vendors that offer robust disaster recovery and business continuity features will see a 35% higher adoption rate, as organizations prioritize resilience and high availability. (Moderate Confidence)
Strategic Planning Assumptions - Organized By Theme:
Market Share and Adoption
By 2028, 80% of enterprises will have migrated their critical databases to cloud platforms, leveraging the scalability, flexibility, and cost-efficiency of cloud DBMS solutions. (High Confidence)
Through 2024, the top 5 cloud DBMS vendors will capture 60% of the market share, leveraging their comprehensive offerings, robust partner ecosystems, and global presence. (High Confidence)
Through 2024, cloud DBMS vendors that provide vertical-specific solutions and pre-built industry templates will grow their market share by 25%, catering to the unique requirements of each sector. (Moderate Confidence)
Through 2023, organizations that migrate their databases to the cloud will realize an average cost savings of 30% compared to on-premises deployments, due to reduced infrastructure, maintenance, and licensing costs. (High Confidence)
Technology and Architecture
Through 2027, the adoption of multi-model databases will triple, as organizations seek to manage diverse data types and structures within a unified cloud DBMS platform. (Moderate Confidence)
By 2026, 70% of new cloud DBMS deployments will utilize serverless or fully-managed offerings, enabling developers to focus on application logic rather than database administration. (High Confidence)
Investments in cloud-native DBMS architectures will double by 2025, driven by the need for elastic scalability, high availability, and operational simplicity. (Moderate Confidence)
Low-code and no-code cloud DBMS offerings will account for 30% of new deployments by 2025, democratizing database development and empowering citizen developers. (Moderate Confidence)
AI and Machine Learning
By 2027, 75% of enterprises will adopt cloud DBMS solutions with built-in AI and machine learning capabilities for automated performance optimization, anomaly detection, and predictive maintenance. (Moderate Confidence)
Edge Computing and IoT
Edge-to-cloud DBMS deployments will grow by 50% through 2026, fueled by the proliferation of IoT devices and the need for real-time data processing and analysis at the edge. (Moderate Confidence)
The rise of edge computing will drive a 45% increase in the adoption of lightweight, embeddable cloud DBMS solutions by 2024, catering to the unique requirements of edge devices and gateways. (Moderate Confidence)
Security, Privacy, and Compliance
By 2025, 65% of organizations will leverage cloud DBMS platforms with strong data security and privacy features, including encryption, access controls, and compliance certifications, to protect sensitive data assets. (High Confidence)
By 2027, 60% of enterprises will leverage cloud DBMS solutions with advanced data privacy features, such as data masking, tokenization, and fine-grained access controls, to comply with evolving regulations and protect sensitive information. (High Confidence)
Multi-Cloud and Hybrid Cloud
Multi-cloud and hybrid cloud DBMS adoptions will surge, with 60% of enterprises implementing such strategies by 2024 to avoid vendor lock-in and optimize performance across cloud boundaries. (Moderate Confidence)
Data Governance and Compliance
Through 2023, cloud DBMS solutions with integrated data governance frameworks will see a 40% increase in adoption, as organizations prioritize data quality, lineage, and regulatory compliance. (Moderate Confidence)
Talent and Skills
By 2026, the demand for cloud DBMS professionals with expertise in data modeling, performance tuning, and security will grow by 50%, outpacing the supply of skilled talent. (Moderate Confidence)
Data Integration and Virtualization
By 2027, 40% of enterprises will have adopted cloud DBMS solutions with built-in data virtualization capabilities, enabling seamless access to disparate data sources and reducing data silos. (Moderate Confidence)
By 2026, 55% of enterprises will adopt cloud DBMS platforms with native integration capabilities for popular data analytics and business intelligence tools, enabling faster time-to-insights. (Moderate Confidence)
Real-Time and Event-Driven Architectures
The market for cloud DBMS solutions optimized for real-time streaming and event-driven architectures will double by 2025, driven by the need for instant insights and responsive applications. (High Confidence)
Disaster Recovery and Business Continuity
Through 2025, cloud DBMS vendors that offer robust disaster recovery and business continuity features will see a 35% higher adoption rate, as organizations prioritize resilience and high availability. (Moderate Confidence)
Bottom Line
The Outsourced DBMS and DBMS markets are experiencing rapid transformation, driven by the increasing demand for cloud-based, scalable, and intelligent database management solutions. As organizations grapple with exponential data growth and the need for real-time analytics, the adoption of outsourced DBMS services and advanced cloud-native DBMS platforms is expected to surge.
Key strategic planning assumptions include the migration of 80% of critical databases to the cloud by 2028, the consolidation of the DBMS market among the top 5 vendors, the rise of serverless and fully-managed DBMS offerings, and the integration of AI and machine learning capabilities to optimize database performance and security. Additionally, the growing importance of data governance, compliance, and multi-cloud/hybrid cloud strategies will shape the future of the DBMS market.
By embracing these market trends and strategic planning assumptions, business leaders can position their organizations to harness the full potential of outsourced DBMS and cloud-based DBMS solutions, drive data-driven innovation, and maintain a competitive edge in the digital economy.
Market Size and Growth
The worldwide DBMS software market is expected to see steady growth from 2023 to 2030, driven by the increasing demand for cloud-based and outsourced DBMS solutions. According to the data, the global DBMS market is forecasted to reach $243.24 billion by 2030, representing a compound annual growth rate (CAGR) of 13.1% during the forecast period.
This robust growth is fueled by the surge in data volumes across organizations, the rising need for real-time analytics and data-driven decision-making, and the ongoing shift towards cloud-based database deployments. As enterprises grapple with the exponential growth of data, the demand for scalable, cost-effective, and highly available DBMS solutions has become paramount.
Within the broader DBMS market, the outsourced DBMS segment is projected to experience even faster growth, with a forecasted CAGR of 13.1% between 2023 and 2030. This segment is expected to reach $121.62 billion in revenue by 2030, reflecting the growing appetite among organizations for cloud-based, managed database services. By leveraging outsourced DBMS solutions, enterprises can access third-party expertise, scalable resources, and advanced database technologies without the overhead of maintaining an on-premises infrastructure.
The market growth in both the overall DBMS space and the outsourced DBMS segment underscores the critical role that database management systems play in supporting organizations' digital transformation initiatives, data-driven decision-making, and the need for cost-effective, flexible, and highly available database services.
Market Deployment and Vendor Landscape
The DBMS market can be further segmented by deployment model, with the data showing an even split between public cloud DBMS and on-premises/other DBMS solutions. In 2023, the public cloud DBMS segment and the on-premises/other DBMS segment were both estimated at $50 billion, highlighting the growing adoption of cloud-based database management alongside the continued reliance on traditional on-premises deployments.
On the vendor front, the DBMS market is dominated by a handful of leading players. According to the data, the top 5 cloud DBMS vendors are projected to capture 60% of the market share by 2024, leveraging their comprehensive product offerings, robust partner ecosystems, and global reach. Oracle is expected to maintain its position as the market leader, with a 31.4% market share in 2024, followed by Microsoft SQL Server (20.1%), MySQL (12.3%), Amazon Web Services (9.5%), and IBM (6.2%).
The consolidation among the top DBMS vendors underscores the competitive nature of the market, as these leading players continue to innovate and enhance their solutions to cater to the evolving needs of organizations. Enterprises evaluating DBMS platforms will need to carefully assess the capabilities, ecosystem support, and long-term roadmaps of these key vendors to ensure alignment with their own business requirements and digital transformation strategies.
Key Leaders In The Outsourced DBMS Market
In the outsourced DBMS market, the leaders are the cloud service providers and managed database service providers that have established a strong market position through their comprehensive service offerings, scalable infrastructure, and deep technical expertise.
The key leaders in the outsourced DBMS market include:
Amazon Web Services (AWS)
AWS is a cloud computing pioneer and a dominant player in the outsourced DBMS market, offering a wide range of fully-managed database services such as Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
AWS leverages the scale, reliability, and global reach of the AWS cloud platform to provide enterprises with highly scalable, cost-effective, and highly available database management solutions.
AWS's outsourced DBMS offerings are known for their ease of use, seamless integration with other AWS services, and advanced features like automated backups, failover, and performance tuning.
Microsoft Azure
As a leading cloud service provider, Microsoft Azure offers a comprehensive suite of outsourced DBMS solutions, including Azure SQL Database, Azure Cosmos DB, and Azure Database for PostgreSQL.
Azure's outsourced DBMS services are tightly integrated with the broader Microsoft technology ecosystem, making them a natural choice for organizations that have standardized on the Microsoft stack.
Microsoft's strong brand recognition, enterprise-grade support, and continuous innovation in its cloud platform and database services have solidified its position as a leader in the outsourced DBMS market.
Google Cloud Platform (GCP)
Google Cloud Platform provides a range of fully-managed DBMS services, such as Cloud Spanner, Cloud SQL, and Cloud Bigtable, leveraging Google's expertise in distributed systems and data processing.
GCP's outsourced DBMS offerings are known for their scalability, high performance, and seamless integration with other Google Cloud services, making them an attractive option for organizations seeking cloud-native database management solutions.
Google's strong brand, global infrastructure, and continued investments in its cloud platform and database services have contributed to its leadership in the outsourced DBMS market.
Oracle Cloud
Oracle, a traditional on-premises database leader, has also made significant strides in the outsourced DBMS market with its Oracle Cloud offerings, including Oracle Autonomous Database and Oracle Cloud Database Service.
Oracle's outsourced DBMS solutions leverage the company's enterprise-grade database capabilities and are designed to provide organizations with a seamless migration path from on-premises to the cloud.
Oracle's brand recognition, extensive customer base, and deep technical expertise in database management have positioned it as a leader in the outsourced DBMS market, particularly for enterprises.
The top DBMS leaders, based on the data provided, are:
Oracle: As the market leader, Oracle offers a comprehensive suite of relational and non-relational database solutions, including the Oracle Autonomous Database, which leverages AI and machine learning for automated performance optimization and security. Oracle's products are known for their enterprise-grade capabilities, scalability, and tight integration with the broader Oracle ecosystem.
Microsoft SQL Server: Microsoft's DBMS offerings, such as Azure SQL Database and SQL Server, are tightly integrated with the Microsoft Azure cloud platform and the wider Microsoft technology stack. This integration, combined with Microsoft's global reach and enterprise-focused strategy, has made SQL Server a preferred choice for many organizations.
MySQL: Acquired by Oracle, MySQL is a leading open-source relational database management system that has gained significant popularity among developers and SMBs. MySQL's ease of use, flexibility, and strong community support have made it a highly competitive option in the DBMS market.
Amazon Web Services (AWS): As a cloud-native leader, AWS offers a range of fully-managed database services, including Amazon RDS, Amazon Aurora, and Amazon DynamoDB. These services leverage the scalability and reliability of the AWS cloud, making them attractive options for organizations seeking to migrate their database workloads to the cloud.
IBM: IBM's DBMS portfolio, including IBM Db2 and IBM Cloudant, caters to enterprise-level database management needs. IBM's solutions are known for their robust security features, data governance capabilities, and integration with the broader IBM software ecosystem.