세계의 DBaaS(Database as a Service) 시장 예측(-2032년) : 데이터베이스 유형별, 전개 유형별, 서비스 모델별, 조직 규모별, 최종 사용자별, 지역별 분석

According to Stratistics MRC, the Global Database as a Service Market is accounted for $34.03 billion in 2025 and is expected to reach $92.75 billion by 2032 growing at a CAGR of 15.4% during the forecast period. A cloud computing service paradigm called Database as a Service (DBaaS) gives consumers access to databases without requiring them to maintain database software or physical infrastructure. It provides on-demand, scalable database hosting, making it simple for the service provider to setup, maintain, and backup. The provider takes care of infrastructure, security, and upgrades, allowing users to concentrate on data usage and application development. DBaaS offers flexible, affordable, and effective data management solutions that are available online and support a variety of database types.

Market Dynamics:

Driver:

Advanced technology integration

Predictive analytics and intelligent data management are made possible by innovations like artificial intelligence and machine learning. Innovations in cloud computing give enterprises cost-effectiveness, flexibility, and easy access. By reducing manual involvement, automation and orchestration solutions increase operational efficiency. Improved security technologies adhere to regulations and protect data from breaches. When combined, these technologies propel the global expansion and broad adoption of DBaaS systems.

Restraint:

Data security and privacy concerns

Consumers who save sensitive data on the cloud are concerned about possible data breaches and illegal access. Strict data protection laws, such as GDPR, make it difficult for DBaaS companies to comply. Trust in cloud-based database systems is diminished by worries about data loss or leaking. Some businesses put off or steer clear of implementing DBaaS solutions because of these worries. As a result, the market is confronted with unclear demand and slower adoption rates.

Opportunity:

Hybrid and multi-cloud strategies

Organisations can optimise performance and lower latency by distributing workloads across different cloud environments using hybrid and multi-cloud architectures. By utilising hybrid models, businesses can improve security and compliance by keeping sensitive data on private clouds and use public clouds for less important tasks. By lowering the risk of vendor lock-in, multi-cloud strategies give companies greater control and bargaining leverage. They guarantee high availability and dependability by facilitating smooth data movement and catastrophe recovery. Overall, by meeting a variety of business demands and spurring innovation, the combination of hybrid and multi-cloud methods speeds up the adoption of DBaaS.

Threat:

Economic uncertainties

Interest rate and inflation fluctuations increase operating costs, which reduces the appeal of cloud investments. Unpredictable economic situations also make businesses more risk averse, which restricts their use of more recent technology like DBaaS. Global pricing models are made more difficult by currency volatility, which also has an impact on client affordability and vendor profitability. Smaller suppliers and startups have trouble getting finance, which stifles competition and innovation. In general, market reluctance brought on by unstable economies reduces demand and interferes with long-term planning in the DBaaS industry.

Covid-19 Impact

The Covid-19 pandemic significantly accelerated the Database as a Service (DBaaS) market growth as businesses rapidly shifted to remote work and digital operations. Demand for scalable, flexible, and cloud-based data solutions surged to support increased online activities and real-time data access. Companies prioritized cloud migration to enhance collaboration, security, and cost-efficiency. Despite initial disruptions, the pandemic highlighted the critical role of DBaaS in business continuity, driving widespread adoption and innovation in cloud database technologies worldwide.

The in-memory database segment is expected to be the largest during the forecast period

The in-memory database segment is expected to account for the largest market share during the forecast period by offering ultra-fast data processing and low-latency access, crucial for real-time analytics and applications. Its ability to store data directly in RAM reduces disk I/O bottlenecks, enhancing performance and scalability. This segment supports dynamic workloads and complex queries efficiently, attracting enterprises seeking agility and speed. Additionally, the growing demand for cloud-native solutions drives adoption of in-memory databases within DBaaS platforms. Overall, these factors boost market growth by enabling better user experiences and operational efficiency.

The healthcare and life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare and life sciences segment is predicted to witness the highest growth rate by generating massive volumes of complex patient and clinical data requiring scalable, secure storage solutions. DBaaS enables efficient management of electronic health records (EHRs), research data, and real-time patient monitoring information. It supports rapid data access and analytics crucial for personalized medicine, drug discovery, and clinical trials. Cloud-based databases enhance collaboration among healthcare providers and researchers, improving decision-making and patient outcomes. Additionally, regulatory compliance and data privacy requirements in healthcare fuel adoption of flexible and compliant DBaaS platforms.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to digital transformation initiatives in emerging economies like India, China, and Southeast Asia. Growing smartphone penetration, cloud infrastructure development, and rising demand for data analytics fuel this growth. Local governments' push towards smart cities and Industry 4.0 further stimulates DBaaS adoption. Despite challenges in connectivity and data privacy regulations, increasing enterprise reliance on cloud databases for agility and cost-effectiveness positions the region as a dynamic growth hub in the global DBaaS market.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR by high cloud adoption across industries such as finance, healthcare, and IT. Strong technological infrastructure and major cloud service providers like AWS, Microsoft Azure, and Google Cloud dominate the landscape. Enterprises focus on scalable, cost-efficient database management solutions to enhance data accessibility and security. Regulatory compliance and data sovereignty also influence market trends, with increasing investments in hybrid and multi-cloud DBaaS offerings boosting regional market expansion.

Key players in the market

Some of the key players profiled in the Database as a Service Market include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), IBM Cloud, Alibaba Cloud, Snowflake, Databricks, MongoDB Atlas, Redis Enterprise, SingleStore, DataStax Astra DB, Neo4j AuraDB, Couchbase Capella, ScyllaDB Cloud, Tessell, Instaclustr and Crunchy Bridge.

Key Developments:

In December 2024, AWS introduced Amazon Aurora DSQL, a distributed, serverless, PostgreSQL-compatible database designed for high availability and scalability. Aurora DSQL simplifies deployment and management of distributed databases, offering 99.99% availability in a single region and 99.999% in multi-region deployments, thereby reducing operational overhead and enhancing reliability.

In June 2024, AWS partnered with Snorkel AI to assist companies in building production-ready AI models, integrating Snorkel Flow into the AWS ISV program for streamlined deployment. Additionally, AWS entered a five-year agreement with Smarsh to enhance AI compliance solutions in the financial sector, utilizing services like Amazon SageMaker and exploring offerings through Amazon Bedrock and Amazon Q GenAI tools.

In March 2024, Microsoft and Oracle expanded their collaboration to meet growing customer demand for Oracle Database@Azure. This service allows customers to run Oracle database services on Oracle Cloud Infrastructure (OCI) within Microsoft Azure data centers.

Database Types Covered:

• Relational Database (RDBMS)
• NoSQL Database
• In-Memory Database
• NewSQL Database
• Graph Database
• Other Database Types

Deployment Types Covered:

• Public Cloud
• Private Cloud
• Hybrid Cloud

Service Models Covered:

• Infrastructure as a Service (IaaS)
• Platform as a Service (PaaS)

Organization Sizes Covered:

• Small and Medium Enterprises (SMEs)
• Large Enterprises

End Users Covered:

• Banking, Financial Services, and Insurance
• IT and Telecom
• Retail and E-commerce
• Healthcare and Life Sciences
• Manufacturing
• Government and Defense
• Media and Entertainment
• Energy and Utilities
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 End User Analysis
• 3.7 Emerging Markets
• 3.8 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Database as a Service Market, By Database Type

• 5.1 Introduction
• 5.2 Relational Database (RDBMS)
• 5.3 NoSQL Database
• 5.4 In-Memory Database
• 5.5 NewSQL Database
• 5.6 Graph Database
• 5.7 Other Database Types

6 Global Database as a Service Market, By Deployment Type

• 6.1 Introduction
• 6.2 Public Cloud
• 6.3 Private Cloud
• 6.4 Hybrid Cloud

7 Global Database as a Service Market, By Service Model

• 7.1 Introduction
• 7.2 Infrastructure as a Service (IaaS)
• 7.3 Platform as a Service (PaaS)

8 Global Database as a Service Market, By Organization Size

• 8.1 Introduction
• 8.2 Small and Medium Enterprises (SMEs)
• 8.3 Large Enterprises

9 Global Database as a Service Market, By End User

• 9.1 Introduction
• 9.2 Banking, Financial Services, and Insurance
• 9.3 IT and Telecom
• 9.4 Retail and E-commerce
• 9.5 Healthcare and Life Sciences
• 9.6 Manufacturing
• 9.7 Government and Defense
• 9.8 Media and Entertainment
• 9.9 Energy and Utilities
• 9.10 Other End Users

10 Global Database as a Service Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Amazon Web Services (AWS)
• 12.2 Microsoft Azure
• 12.3 Google Cloud Platform (GCP)
• 12.4 Oracle Cloud Infrastructure (OCI)
• 12.5 IBM Cloud
• 12.6 Alibaba Cloud
• 12.7 Snowflake
• 12.8 Databricks
• 12.9 MongoDB Atlas
• 12.10 Redis Enterprise
• 12.11 SingleStore
• 12.12 DataStax Astra DB
• 12.13 Neo4j AuraDB
• 12.14 Couchbase Capella
• 12.15 ScyllaDB Cloud
• 12.16 Tessell
• 12.17 Instaclustr
• 12.18 Crunchy Bridge