Relational Database Market is expected to grow at a CAGR of 12.67% through 2030F
The
global Relational Database Market is expected to be led by North America due to
its strong technological infrastructure and widespread adoption of cloud-based solutions
during the forecast period 2026-2030F
According to TechSci Research report, “Relational Database Market -
Global Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030F",
The Global Relational Database Market was valued at USD 67.37 billion in
2024 and is expected to reach USD 137.81 billion by 2030 with a CAGR of 12.67%
through 2030.
A significant
factor driving the growth of the relational database market is the widespread
adoption of cloud computing. The shift to cloud-based solutions has
revolutionized how businesses manage data, offering improved flexibility,
scalability, and cost efficiency. Cloud-based relational databases enable
organizations to store and access data remotely, eliminating the need for
on-premises infrastructure. This transition allows businesses to scale their
database resources up or down based on demand, offering significant cost
savings by paying only for the resources they use. Cloud-based relational
databases also enable businesses to access advanced features, such as automated
backups, high availability, and disaster recovery, which ensure business
continuity. Major cloud service providers such as Amazon Web Services,
Microsoft Azure, and Google Cloud offer fully managed relational database
services, which ease the burden of database administration for organizations.
These services provide enhanced performance, security, and compliance with data
regulations, making them attractive to organizations of all sizes. The ability
to integrate relational databases with other cloud services such as data lakes,
machine learning, and analytics tools further enhances their appeal. As cloud
adoption continues to rise, the demand for cloud-based relational databases is
expected to grow, driving the expansion of the relational database market.
The rise of
multi-model databases represents a key trend in the relational database market.
A multi-model database is a database that supports multiple data models, such
as relational, document, key-value, graph, and others, within a single database
engine. This trend is driven by the growing need for organizations to handle a
wide variety of data types and use cases in a unified system. Traditional
relational databases, which rely on a fixed schema and handle structured data,
are often insufficient for businesses that need to work with unstructured or
semi-structured data, such as social media content, sensor data, and multimedia
files. Multi-model databases address this challenge by allowing organizations
to manage diverse data types within a single platform, offering the flexibility
to store and process data in the most appropriate format. For example, a
business could use the relational model to store transactional data, the
document model to handle customer feedback, and the graph model to analyze social
network relationships, all within the same database system. This approach
simplifies data management, reduces the need for multiple specialized
databases, and lowers operational costs. As organizations increasingly adopt
multi-model databases, the relational database market is expanding beyond
traditional use cases. This trend is particularly relevant for industries such
as retail, healthcare, and telecommunications, where a wide range of data types
must be processed and analyzed together. The growth of multi-model databases is
expected to drive innovation in relational database management systems and
further enhance their ability to handle complex, real-time data workloads.
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Based
on End User, BFSI segment dominated the relational database market in 2024 and
maintain its leadership throughout the forecast period. The BFSI sector relies
heavily on relational databases for managing vast amounts of structured data,
including customer transactions, account details, and financial records, where
data integrity, security, and real-time processing are critical. Relational
databases provide the robust transactional capabilities required for secure,
high-volume operations such as processing payments, managing financial
portfolios, and ensuring regulatory compliance. The growing need for advanced
data analytics, fraud detection, and customer insights in the BFSI sector
further drives the demand for relational databases. As the industry
increasingly adopts digital banking solutions, the need for scalable, secure,
and high-performance relational database systems becomes even more pronounced.
The BFSI sector faces strict regulatory requirements around data management,
which relational databases can effectively support by offering strong data
consistency, reliability, and compliance features. The adoption of cloud-based
relational database solutions in BFSI also enhances flexibility, scalability,
and cost-efficiency, contributing to the growth of this segment. As digital
transformation continues to evolve in the BFSI industry, the demand for
relational databases capable of handling complex transactional and analytical
workloads is expected to remain strong, solidifying the BFSI segment's
dominance in the relational database market during the forecast period.
Based on region, Asia
Pacific is the fastest-growing region in the relational database market due to
rapid digital transformation, increased cloud adoption, and expanding
data-centric applications across industries. The region’s growth is driven by
the rising demand for data management solutions in key sectors such as finance,
healthcare, retail, and manufacturing. As businesses in countries like China,
India, and Japan increasingly rely on data-driven decision-making, the need for
scalable, high-performance relational databases has surged. The rapid expansion
of cloud infrastructure and data centers in the region supports the adoption of
cloud-based relational database services, offering enhanced flexibility and
cost-efficiency. Government initiatives and investments in smart city projects
also contribute to growth, making Asia Pacific a critical hub for relational
database advancements.
Key
market players in the Relational Database Market are: -
- Oracle Corporation
- Microsoft Corporation
- IBM Corporation
- Google LLC
- SAP SE
- MongoDB, Inc.
- Huawei Technologies Co., Ltd.
- Amazon.com, Inc.
- Rackspace Technology, Inc.
- Snowflake Inc.
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“The
relational database market is expected to grow significantly in the future,
driven by increasing data generation, the rise of cloud computing, and
advancements in artificial intelligence. As businesses embrace digital
transformation, the demand for scalable, secure, and efficient data management
solutions will intensify. Cloud-based relational databases will dominate,
offering flexibility and cost-effectiveness, while integration with AI and
machine learning will enhance real-time analytics and automation capabilities.
Industries such as banking, healthcare, and retail will continue to lead
adoption, while emerging markets in Asia Pacific and other regions will further
fuel global growth, expanding the relational database ecosystem.” said Mr.
Karan Chechi, Research Director of TechSci Research, a research-based global
management consulting firm.
“Relational Database
Market – Global Industry Size, Share, Trends, Opportunity, and Forecast,
Segmented By Type (In-memory, Disk-based, Others), By Deployment (Cloud-based,
On-premises), By End User (BFSI, IT & Telecom, Retail & E-commerce,
Manufacturing, Healthcare, Others), By Region, By Competition, 2020-2030F” has evaluated the future growth
potential of Relational Database Market and provides statistics &
information on market size, structure, and future market growth. The report
intends to provide cutting-edge market intelligence and help decision makers
take sound investment decisions. Besides the report also identifies and
analyzes the emerging trends along with essential drivers, challenges, and
opportunities in Relational Database Market.
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