Serverless PostgreSQL Global Market Report 2026

Serverless PostgreSQL is a cloud-hosted database service that automatically manages scaling, availability, and maintenance without the need for manual infrastructure oversight. It dynamically allocates compute and storage resources according to workload requirements, ensuring efficient resource utilization. Additionally, the platform handles tasks such as backups, replication, and patching, offering a fully managed relational database experience.

The primary components of serverless PostgreSQL consist of solutions and services. Solutions are fully managed, serverless PostgreSQL database platforms that automatically take care of infrastructure provisioning, scaling, patching, and maintenance, allowing organizations to run PostgreSQL workloads without managing servers while ensuring high availability, elastic scalability, cost efficiency based on usage, and smooth integration with cloud-native applications. Deployment types include public cloud, private cloud, and hybrid cloud. Organization sizes comprise small and medium enterprises as well as large enterprises. Applications include data analytics, web applications, mobile applications, Internet of Things (IoT), and more. Key end-users include banking, financial services, and insurance (BFSI), information technology (IT) and telecommunications, healthcare, retail and e-commerce, and government.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs have indirectly affected the serverless postgreSQL market by increasing costs of cloud infrastructure hardware such as servers, storage systems, and networking equipment. These cost pressures primarily impact managed database service providers and infrastructure-heavy solution segments. Regions including asia-pacific and europe are more exposed due to reliance on imported data center components. Positively, tariffs are encouraging cloud providers to localize infrastructure investments and optimize resource efficiency through serverless architectures.

The serverless postgresql market research report is one of a series of new reports from The Business Research Company that provides serverless postgresql market statistics, including serverless postgresql industry global market size, regional shares, competitors with an serverless postgresql market share, detailed serverless postgresql market segments, market trends and opportunities, and any further data you may need to thrive in the serverless postgresql industry. The serverless postgresql market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The serverless postgreSQL market size has grown exponentially in recent years. It will grow from $1.71 billion in 2025 to $2.19 billion in 2026 at a compound annual growth rate (CAGR) of 28.1%. The growth in the historic period can be attributed to increasing adoption of cloud computing, growing demand for cost-efficient infrastructure, rising need for high availability and reliability, expansion of data-driven applications, and increasing focus on DevOps and simplified database management.

The serverless postgreSQL market size is expected to see exponential growth in the next few years. It will grow to $5.85 billion in 2030 at a compound annual growth rate (CAGR) of 27.8%. The growth in the forecast period can be attributed to growing adoption of microservices architecture, rising integration with modern cloud ecosystems, increasing need for rapid deployment and agility, expansion of SMEs and startups leveraging the cloud, and growing focus on security and compliance. Major trends in the forecast period include technology advancements in serverless orchestration, innovations in automated scaling and maintenance, developments in AI-driven database optimization, research and developments in hybrid and multi-cloud strategies, and innovations in time-series and IoT data management.

The growth of cloud-native and hybrid cloud deployments is expected to drive the expansion of the serverless PostgreSQL market in the coming years. Cloud-native and hybrid cloud deployments involve running applications either fully optimized for the cloud or across a mix of on-premises and cloud environments to achieve scalability, flexibility, and operational efficiency. This expansion is fueled by the increasing demand for real-time, high-performance data processing and application scalability. Serverless PostgreSQL enables cloud-native and hybrid cloud deployments by automatically adjusting compute and storage resources according to application demand. It enhances operational efficiency by minimizing infrastructure management, optimizing costs, and ensuring seamless database performance across dynamic, distributed environments. For instance, in October 2025, according to the Cloud Native Computing Foundation, a US-based cloud-native organization, 56% of backend developers were identified as cloud native in the third quarter of 2025, up from 49% in the first quarter, reflecting significant growth over the past five years. Consequently, the expansion of cloud-native and hybrid cloud deployments is propelling the serverless PostgreSQL market.

Major companies in the serverless PostgreSQL market are concentrating on developing advanced solutions, such as dynamic resource allocation systems, to improve cost-efficiency, enhance performance, and reduce operational complexity. Dynamic resource allocation systems are designed to automatically distribute computing, network, or storage resources based on real-time demand and workload conditions. For instance, in November 2023, Timescale Inc., a US-based cloud database company, launched Dynamic PostgreSQL. This managed relational database service allows customers to purchase the base and rent the peak, combining flexible CPU scaling with usage-based storage to ensure predictable costs and high performance. The dynamic resource allocation system enables businesses to manage bursty workloads efficiently while avoiding over-provisioning and unexpected billing. It incorporates intelligent resource management, maximizing value and reducing operational costs for development teams.

In May 2025, Databricks Inc., a US-based data and AI company, acquired Neon Technology Inc. for an undisclosed sum. Through this acquisition, Databricks aims to strengthen its database and developer offerings by providing AI-optimized, serverless Postgres instances that enable rapid, agent-driven workflows on scalable, cost-efficient, and open-source-compatible infrastructure. Neon Technology Inc. is a US-based company specializing in serverless Postgres solutions tailored for developers and AI agent workloads.

Major companies operating in the serverless postgresql market are Amazon Web Services Inc., Alibaba Cloud, Microsoft Azure, Databricks Inc., Cockroach Labs Inc., Yugabyte Inc., Supabase Inc., PlanetScale Inc., Crunchy Data Solutions Inc., Nile Technologies Inc., Scaleway SAS, Northflank Ltd., Tiger Data Labs, DBOS Inc., pgEdge Inc., Koyeb SAS, Xata Inc., Splendid Data BV, Ubicloud Inc., Railway Technologies Inc., Stackhero SAS

North America was the largest region in the serverless postgreSQL market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the serverless postgresql market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the serverless postgresql market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The serverless postgreSQL market consists of revenues earned by entities through the provision of services such as managed database provisioning and orchestration, automated scaling and performance tuning, backup and disaster recovery management, security and compliance services (including encryption and access controls), and migration and integration services for applications and data pipelines. The market value includes the value of related goods sold by the service provider or included within the service offering. The serverless postgreSQL market also includes sales of serverless PostgreSQL instances (service plans), database management consoles and control panels, automated backup and recovery tools, data replication appliances and gateways, and developer software development kits and connectors. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Serverless PostgreSQL Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses serverless postgresql market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for serverless postgresql ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The serverless postgresql market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component: Solutions; Services
• 2) By Deployment Type: Public Cloud; Private Cloud; Hybrid Cloud
• 3) By Organization Size: Small and Medium Enterprises; Large Enterprises
• 4) By Application: Data Analytics; Web Applications; Mobile Applications; Internet of Things (IoT); Other Applications
• 5) By End-User: Banking, Financial Services, and Insurance (BFSI); Information Technology (IT) and Telecommunications; Healthcare; Retail and E-Commerce; Government
• Subsegments:
• 1) By Solutions: Managed Database Services; Database Monitoring and Management Tools; Backup and Recovery Solutions; Security and Compliance Tools; Performance Optimization Tools
• 2) By Services: Consulting and Advisory Services; Implementation and Integration Services; Training and Support Services; Migration Services; Maintenance and Upgrade Services
• Companies Mentioned: Amazon Web Services Inc.; Alibaba Cloud; Microsoft Azure; Databricks Inc.; Cockroach Labs Inc.; Yugabyte Inc.; Supabase Inc.; PlanetScale Inc.; Crunchy Data Solutions Inc.; Nile Technologies Inc.; Scaleway SAS; Northflank Ltd.; Tiger Data Labs; DBOS Inc.; pgEdge Inc.; Koyeb SAS; Xata Inc.; Splendid Data BV; Ubicloud Inc.; Railway Technologies Inc.; Stackhero SAS
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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