The global AI in Database as a Service (DBaaS) market is forecast to grow at a CAGR of 21.2%, reaching USD 124.6 billion in 2031 from USD 47.6 billion in 2026.
Database as a service (DBaaS) is among the quickest growing Software as a Service (SaaS) markets and major factors such as the growing shift from on-premise databases towards virtual database management have increased the adoption of cloud computing in organizations which is creating the overall market growth. Moreover, providing virtually unlimited growth potential and improving the overall administration & routine database management tasks are additional perks provided by such technology which has further led to its upfront investment
With the growing organization's workloads, the demand for efficient data management & storage solutions has propelled over the years. According to the Linux Foundation’s “Data and Storage Trend 2022”, data analytics & database management were the top production workloads in organizations, where data analytics accounted for 52% and database management 46%.
Rising demand for innovative data management and analytics by organizations
In today's modern world where technological innovations and advancements are witnessing a significant boom, and companies are investing in strategies to promote seamless integration of such technologies in their operations. Due to the implementation of such an approach, the data volume and production workload have also increased over the years, which is creating demand for innovative data management solutions.
Furthermore, the recent growing trend of AI adoption virtual data, and hybrid cloud environment has also stimulated the overall market expansion as the requirement for IT infrastructure that meets the varied demands of developers, and IT architects is also expected to increase. According to the Linux Foundation’s “Data and Storage Trends 2022” report, it stated that in 2022 about 49% of them believe that AI-drive data management is an effective database management solution and is expected to show significance over the next 2-4 years.
The Database as a service (DBaaS) market for the cloud segment is projected to grow
The adoption of cloud database globally in the past few years has increased at a significant pace. When a database as a service is being provided using a cloud computing platform, it is referred to as a cloud database. The relational cloud database allows users to organize data in predetermined relation so that it is arranged in a logical correlation.
Furthermore, the recent advancement in cloud computing propels the rise of cloud databases worldwide. Also, the adoption of cloud-based data storage solutions is growing at a rapid pace as more and more enterprises are migrating to the cloud. For instance, according to the Flexera State of the Cloud Report 2023, the public cloud service adoption by organizations related to DBaaS(relational) resulted in 48% of the companies currently using DbaaS whereas around 21% responded that they are experimenting stage, and 10% companies stated that they plan to use in the coming years. This highlights lucrative avenues for larger penetration of DBaaS till the forecast period.
According to the data from the Flexera report, the adoption of multi-cloud services by organizations accounted for around 87% in the year 2023. This highlights the favorable opportunity for the expansion of multi-cloud services boosting the growth of the database-as-a-service (DBaaS) market with larger cloud-based deployment in the upcoming years.
Key Market Developments:
In 2022, clickhouse Inc. announced the launch of Clickhouse Cloud which is a cloud-based database that assists in accelerating analytics and insights for modern digital enterprises. The company also allows users to develop business-critical applications and analyze the database using the clickhouse cloud.
In 2022, StarRocks launched its first managed database-as-a-service (DBaaS) that allows users to undertake real-time analytics using the StarRocks Cloud. The cloud services offered with be priced according to the pay-as-you-go model based on data consumption.
Key Players: