PUBLISHER: Grand View Research | PRODUCT CODE: 1751372
PUBLISHER: Grand View Research | PRODUCT CODE: 1751372
The global database automation market size was estimated at USD 1,934.0 million in 2024 and is projected to grow at a CAGR of 26.9% from 2025 to 2030. Enterprises are actively upgrading their core IT infrastructure to remain competitive and efficient. This modernization effort is increasing the need for database automation tools that streamline migration processes. Organizations are also seeking automated systems that ensure regulatory compliance with minimal manual oversight.
Simplified database maintenance is becoming a priority as enterprises aim to reduce operational complexity. In September 2024, Oracle Corporation and Amazon Web Services, Inc. announced a strategic partnership to launch Oracle Database@AWS. This collaboration enables customers to access Oracle Exadata Database and Oracle Autonomous Database Service directly within AWS, simplifying the migration and deployment of enterprise workloads to the cloud while enhancing agility, flexibility, and security.
Demand for AI-powered automation is increasing as enterprises prioritize systems that can understand context and support decision-making. AI agents are evolving to require deeper memory structures such as context retrieval and semantic understanding. This shift is driving the need for intelligent data platforms that can manage fast, complex, and dynamic data interactions. Real-time data processing is becoming essential to ensure efficient and responsive automation workflows. Data infrastructure providers that support advanced AI integration are gaining more relevance in enterprise automation strategies. Companies are integrating AI with automation to improve efficiency and decision-making using real-time data platforms. For instance, in April 2025, UiPath, a U.S.-based software company, and Redis are expanding their collaboration to support agentic automation by integrating Redis' real-time data and memory capabilities into UiPath's on-premises automation solutions. This collaboration enables smarter, faster
AI agents through Redis-powered features such as semantic caching, routing, and vector search, enhancing UiPath's Agent Builder and overall automation performance.
As businesses increasingly adopt cloud solutions, there is a notable rise in demand for cloud-native database automation tools. Hybrid solutions are becoming more prevalent, allowing seamless integration between on-premise and cloud databases. These tools offer businesses greater flexibility, enabling them to manage their databases more efficiently across multiple environments. Cloud-native automation streamlines tasks such as provisioning, scaling, and performance monitoring. Hybrid models provide the advantage of data portability, ensuring businesses can easily move workloads between environments. The growing demand for scalability drives the development of more robust database automation platforms. This shift enables businesses to reduce operational costs while maintaining optimal performance. Businesses benefit from improved agility, adapting quickly to changing needs or workloads. The cloud transition offers long-term operational benefits, contributing to more sustainable growth.
Global Database Automation Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global database automation market report based on component, application, end-use, and region.