Cloud Database Market is to Touch $65.1 Billion by 2030; The increasing demand for cloud database across various industries such as BFSI, retail, healthcare and life sciences, it and telecom, education, government and public sector propels market growth.

The Cloud Database Market size is estimated to reach $65.1 Billion by 2030, growing at a CAGR of 15.4% during the forecast period 2023-2030, according to a recent report published by IndustryARC, titled, “Cloud Database Market – By Deployment Model (Public cloud, Private cloud, Hybrid cloud), By Relation (Relational, Non-Relational), By Database (SQL Database, NoSQL Database), By Software (Database Application Builder, Data Scaling & Replication, Backup & Recovery, Database Encryption and Others), By Services (Training and Consulting Services, System and Network Integration, Deployment and Maintenance), By Organization Size (Small and Medium Enterprises, Large Enterprises), By End User (BFSI, Retail, Healthcare and Life sciences, IT and Telecom, Education, Government and Public Sector and Others), By Geography - Global Opportunity Analysis & Industry Forecast, 2023-2030”

Rise of multi-cloud and hybrid cloud deployments and adoption of ai and machine learning for database management are fueling the growth of the Cloud Database industry during the forecast period.

North America holds the largest share of 42% in 2023 of the Cloud Database market. North America is home to many of the world's leading cloud service providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, which heavily invest in cutting-edge cloud database technologies and services. These companies have extensive infrastructure and a broad customer base in the region, contributing significantly to market growth. Additionally, North America’s advanced IT ecosystem and early adoption of digital technologies across industries such as finance, healthcare, and retail have accelerated the shift towards cloud-based databases. Moreover, the region’s strong emphasis on innovation, supported by substantial R&D investments, has led to the rapid development and deployment of advanced cloud database solutions, including AI-driven databases, serverless architectures, and multi-cloud strategies. The regulatory environment in North America, particularly in the United States, also supports cloud adoption, as organizations are increasingly required to comply with data security and privacy standards, such as GDPR and CCPA, which cloud databases are well-equipped to address with their robust security features.

The rise of multi-cloud and hybrid cloud deployments is a significant trend in the cloud database market, driven by the need for flexibility, scalability, and risk management. Companies are increasingly adopting multi-cloud strategies, where they use multiple cloud service providers to distribute workloads and data, avoiding vendor lock-in and enhancing resilience. In October 2022, Nutanix, a leader in hybrid multicloud computing, announced today the general availability of Nutanix Cloud Clusters (NC2) on Microsoft Azure, extending its hybrid cloud environment to Microsoft Azure dedicated bare metal nodes. NC2 on Azure offers a seamless hyperconverged infrastructure and unified management spanning private and public cloud environments to accelerate hybrid cloud adoption. The move towards multi-cloud and hybrid strategies also enhances disaster recovery and business continuity, as data can be replicated across different platforms to prevent downtime. This approach allows companies to tailor their cloud usage to their specific needs, maximizing the benefits of each provider’s unique offerings. As a result, multi-cloud and hybrid cloud strategies are expected to continue growing, driving the demand for cloud database solutions that support flexible, interconnected environments.

AI and machine learning (ML) are transforming cloud database management by automating complex tasks and improving performance. AI-driven databases leverage advanced algorithms to optimize queries, automate indexing, and predict potential issues, minimizing the need for manual intervention and enhancing database efficiency. This trend addresses the increasing complexity and scale of modern data environments, where traditional database management methods are no longer sufficient. For example, AI can identify slow-running queries and automatically optimize them, significantly improving application performance. For instance, in January 2023, DataStax, a real-time AI company acquired Kaskada Inc., a Machine Learning (ML) company. With this acquisition, DataStax intends to initially open-source the basic Kaskada Inc., technology, with plans to launch a new machine learning cloud component in 2023. DataStax has expanded its cloud computing portfolio by acquiring Kaskada Inc. This addition includes Astra DB database-as-a-service built on Apache Cassandra and Astra Streaming event streaming, providing organizations with a single component for embedding real-time AI applications at an affordable cost. Quantum-enhanced cloud databases could enable breakthroughs in areas such as financial modeling, climate simulation, and drug discovery, where vast amounts of data need to be processed quickly. 

Key companies profiled in the Cloud Database Market are Google Inc., Amazon Web Services, Inc., Oracle Corporation, Microsoft Corporation, IBM Corporation, Rackspace Inc., Salesforce Inc., SAP SE, Alibaba Group, MongoDB, Inc., EnterpriseDB Corporation, Tencent Cloud, DataStax, Inc., Teradata, Neo4j, Inc. and others.