Cloud Database and DBaaS Market Size, Share, New Opportunities, Unleashing Growth Potential, Current Trends and Future Analysis & Forecast – 2028

Cloud Database and DBaaS Market Size, Share, New Opportunities, Unleashing Growth Potential, Current Trends and Future Analysis & Forecast - 2028

“Google (US), Microsoft (US), AWS (US), IBM (US), Oracle (US), Alibaba Cloud (China), SAP (Germany), MongoDB (US), EnterpriseDB (US), Redis Labs (US), Tencent (China), Rackspace (US), Teradata (US).”
Cloud Database and DBaaS Market by Database Type (SQL and NoSQL), Component (Solutions & Services), Deployment Mode, Organization Size, Vertical (BFSI, IT & Telecom, Manufacturing, Healthcare & Life Sciences) and Region – Global Forecast to 2028.

The global Cloud Database and DBaaS market is projected to expand from USD 21.3 billion in 2023 to USD 57.5 billion by 2028, with a Compound Annual Growth Rate (CAGR) of 22.0% during the forecast period. The growth of this market is primarily driven by the increasing adoption of cloud-based database solutions and services, along with a surge in partnerships and acquisitions within the database management sector.

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SQL segment to hold the largest market size during the forecast period

In a short period of time, SQL can process a lot of data. Due to their efficiency, fundamental operations—such as deletion, insertion, and any type of data manipulation—occur at breakneck speed. SQL is free software that is backed by a large user base. No matter where they are in the world, users can find documentation and troubleshooting advice. Numerous business sectors, including those in technology, finance, retail, music, and even medicine, make extensive use of SQL. It is very user-friendly, scalable, and accessible. The NoSQL segment is expected to grow at a higher CAGR during the forecast period compared to the SQL segment. Data analytics is increasingly in demand as more and more processes generate data, which reveals important business insights that fuel the market’s expansion. Appropriate database technology is required to analyze the data. NoSQL accomplishes this goal in the case of unstructured data by supporting basic data analytics. Data analytics will become more important, particularly for unstructured data. In addition, over the past few years, the big data market has grown quickly. Users can perform intricate tasks using SQL, such as querying, inserting, updating, and deleting data from a database. Even non-technical users can interact with databases and retrieve data using its straightforward syntax without having to write a lot of code. Additionally, SQL offers a standardized method of interacting with databases, guaranteeing that data is uniform and consistent across various systems. It is widely used in many different applications, including web development, data analytics, business intelligence, and more, making it a must-have skill for data professionals and developers. Because of its many benefits, SQL is well-liked and in high demand. It is a trustworthy and effective language for interacting with databases. For SQL, no coding knowledge is necessary. Large numbers of lines of code are not necessary for data retrieval. The use of all fundamental keywords like SELECT, INSERT INTO, UPDATE, and others, as well as the simplicity of the syntactical rules, make SQL a user-friendly language.

Retail & Consumer Goods vertical to record the highest CAGR during the forecast period.

Beyond conventional ERP, CRM, and supply chain management, retail is growing. Online retail is now more crucial than ever because of how fiercely businesses are competing with one another. Every business must manage multiple stores and supply chains while offering a distinctive customer experience if they want to survive in this fiercely competitive sector. The best option to streamline all of these processes is to integrate cloud computing into retail. Adoption of the cloud lowers IT costs, streamlines processes, and enhances productivity and user experience. Many stores continue to run in a disconnected, siloed, and offline fashion without updating. Quick and real-time data exchange between the systems, such as inventory, orders, and shipping, is prohibited by this type of operational ecosystem. They could establish an operations team with real-time data by moving to the cloud. An omnidirectional data flow of this kind can assist retailers in timely fulfillment, restocking products before they run out, assigning orders to the last-mile delivery team wisely, and ultimately enhancing the customer experience. Every customer who comes to the online retail store will interact digitally. These interactions produce a tonne of useful data. Important data like inventory, customer information, and more are available on the website. Business information should unquestionably be protected as it is confidential. Loss of personal data resulting from network intrusion, DDoS attacks, and ransomware is one of the major reasons for business failure. One of the key issues that need to be addressed is data security. Most retailers keep track of their sales data, client reviews, inventory reports, and other locally hosted servers that are a little bit risky. Using internal firewalls, advanced firewalls, encryption, event logging, and physical security, the cloud helps secure the data. Customers and sales information gathered by retailers is typically underutilized. High-performance computing resources and statistical models are made available by cloud services to analyze customer purchasing patterns. Understanding consumer behavior, market trends, and brand interactions will help retailers use this data to better tailor their business models. With data, retailers can learn all about seasonal spikes, product bundling, and whether or not their representation of the products is accurate, and they can analyze the most popular shipping options, such as door delivery, online shopping, curbside pickup, in-store pickup, etc. Every retailer can change their business model in this way to increase their revenue.

North America is projected to have the largest market size during the forecast period.

North America is expected to have the largest market size in the Cloud Database and DBaaS market, and the trend is expected to continue till 2028. During the forecast period, it is anticipated that the market for cloud databases and DBaaS in North America will expand significantly. The market is primarily driven by a number of crucial factors, such as a sizable number of US-based businesses and widespread use of cloud database services across a range of sectors, including BFSI, healthcare, retail, energy & utilities, and others. Cloud data storage is now welcomed by businesses as a viable and economical alternative. Since individuals and organizations with different corporate storage needs may wish to store their data in the cloud, data storage companies offer tailored solutions to suit their clients’ preferences. Because it enables them to use other people’s infrastructure and storage equipment as needed, cloud storage appeals to most people. It costs less, is less stressful, and offers value compared to a company maintaining all of its local storage on-site with an IT specialist managing and watching it. New goods and services are being introduced by businesses in the area to gain a competitive edge. To manage and optimize customers’ on- and off-premise clouds, Hewlett Packard Enterprise, for instance, introduced HPE GreenLake Hybrid Cloud. Continuous management and optimization of customer environments in top cloud solutions like Microsoft Azure, AWS, and Azure Stack are offered by HPE GreenLake Hybrid Cloud. The use of hybrid on-premises and off-premises clouds is growing in the area. A hybrid cloud is the best operating environment for a resilient government; 92% of federal IT managers agreed in 2021, according to MeriTalk, research from a government news analysis organization. Additionally, more than two-thirds (67%) claimed that COVID-19 sped up the adoption of hybrid clouds in their companies by a year or more. In a report released by Stormforgein in April 2021, 18% of North American respondents claimed that their company spends between USD 100,000 and USD 250,000 per month on cloud computing. Furthermore, 32% of respondents predicted that their organization’s cloud spending would increase significantly over the following 12 months, while 44% predicted that cloud spending would increase somewhat over that period. The preference of organizations for SaaS-based offerings and the adoption of digital business strategies are the main drivers of widespread adoption. Furthermore, it is anticipated that during the study period, demand for cloud services based on data integrity and privacy will continue to rise, giving leading vendors more opportunities to expand their market share. Additionally, Northern Virginia had the highest net absorption from data centers among the top data center markets in the US last year, totaling 303.3 megawatts. The market for cloud databases and DBaaS is anticipated to expand more quickly as a result of these trends in data center adoption.

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Unique Features in the Cloud Database and DBaaS Market

Cloud databases and DBaaS platforms offer unmatched scalability, allowing businesses to adjust resources dynamically based on demand. This flexibility ensures cost efficiency and the ability to handle fluctuating workloads seamlessly.

A significant feature of cloud database services is the pay-as-you-go pricing structure, which eliminates the need for upfront investments in hardware and software. This model provides financial flexibility, especially for small and medium-sized enterprises.

DBaaS platforms handle routine database management tasks such as updates, backups, and patching automatically. This automation reduces the operational burden on IT teams and minimizes downtime risks.

Cloud databases offer global access, enabling businesses to connect and manage data across geographies in real time. Many platforms also ensure high availability through distributed data centers and failover mechanisms.

The market is evolving to include support for multi-model databases, allowing organizations to manage diverse data types—such as relational, document, graph, and key-value—within a single platform. This versatility addresses complex data requirements.

Major Highlights of the Cloud Database and DBaaS Market

Organizations are increasingly adopting cloud-native database solutions to leverage the benefits of flexibility, scalability, and reduced infrastructure management, driving the market’s expansion.

The rise of hybrid and multi-cloud strategies has accelerated demand for cloud databases that can operate seamlessly across various environments, ensuring better flexibility and operational continuity.

Various industries, including finance, healthcare, retail, and technology, are embracing cloud database solutions to enhance efficiency, reduce costs, and improve real-time data management.

DBaaS platforms are introducing advanced automation features for tasks such as provisioning, scaling, backups, and performance optimization. These innovations reduce manual intervention and enhance operational efficiency.

The integration of AI and machine learning into cloud database solutions is enabling businesses to extract actionable insights, predict trends, and improve decision-making through real-time analytics.

As data breaches and stringent regulations become more prominent, cloud database providers are prioritizing robust security measures and compliance with global standards like GDPR, CCPA, and HIPAA.

The market is witnessing an increase in strategic collaborations and acquisitions as vendors aim to enhance their offerings and expand their global footprint.

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Top Companies in the Cloud Database and DBaaS Market

Some prominent players across all service types profiled in the Cloud Database and DBaaS market study include Google (US), Microsoft (US), AWS (US), IBM (US), Oracle (US), Alibaba Cloud (China), SAP (Germany), MongoDB (US), EnterpriseDB (US), Redis Labs (US), Tencent (China), Rackspace (US), Teradata (US), CenturyLink (US), Neo4J (US), Datastax (US), Tigergraph (US), MariaDB (US), RDX (US), SingleStore (US).

Google is a global technology leader that generates revenue by monetizing the information accrued over the internet and advertising. Google’s core products and platforms include Android, Chrome, Gmail, Google Drive, Google Maps, Google Play, Search, and YouTube. Google has its presence worldwide, with the US as its major contributor. The company is focused on developing high-tech products and services with a large investment in R&D, with advertising as its prime business segment. Google’s Cloud Platform (GCP) provides essential building blocks to develop applications easily and quickly. Google Cloud databases enable users to securely migrate, manage, and modernize data with reliable and highly available databases. The company offers products in the cloud database and DBaaS market, such as Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, Firebase Realtime Database, Cloud Memorystore, and BigQuery. These products are best suited for relational and non-relational/NoSQL database types. The aforementioned products are used by various customers, such as Descartes Labs, Signify, Khan Academy, BANDAI NAMCO Entertainment, The New York Times, eBay, Spotify, and Autotrader. Cloud Spanner is a scalable and fully managed relational database service that supports multi-languages, strong transactional consistency, enterprise-grade security, and high availability. It is used by various verticals, such as BFSI, manufacturing, IT, telecom, transport and logistics, gaming, and eCommerce. Cloud Bigtable is a fully managed NoSQL database service used where scalability and reliability are critical and large analytical and operational workloads are required. Cloud Firestore is a serverless, fully managed, fast, and cloud-native NoSQL document database. It syncs data across devices. Moreover, it has built-in security access controls for data. BigQuery is a cost-effective, serverless, and highly scalable data warehouse. It enables customers to quickly make informed decisions. It offers flexible pricing models and provides robust security and governance controls. Furthermore, it is expected that the company will continue to expand its product offerings with the help of technological developments and collaboration.

Alibaba Group operates as an online and mobile commerce company. Alibaba Cloud is a cloud computing arm and a BU of the Alibaba Group. Alibaba Cloud was founded in 2009 and is headquartered in Hangzhou, China. It is a publicly held company and operates as a subsidiary of Alibaba Group. It offers cloud computing services, such as database, elastic computing, storage and Content Delivery Networks (CDN), large-scale computing, security, and management and application services. Alibaba Cloud provides a comprehensive suite of cloud computing services to power international customers’ online businesses and Alibaba Group’s eCommerce ecosystem. Alibaba Cloud’s international operations are registered and headquartered in Singapore. Its international teams are stationed in Hong Kong, Dubai, Frankfurt, London, New York, Paris, San Mateo, Seoul, Singapore, Sydney, and Tokyo. As of 2019, Alibaba Cloud had 55 availability zones across 19 regions worldwide. In the cloud database and DBaaS market, the company offers POLARDB, Tablestore, and Time Series Database.

Microsoft : Microsoft Corporation is a multinational technology company headquartered in Redmond, Washington. Founded by Bill Gates and Paul Allen in 1975, Microsoft is known for its software products like Windows operating systems, Office suite, and its hardware products such as Surface devices. It is also a major player in cloud computing with its Azure platform, and it provides a range of other technology services and solutions.

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