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1744634

資料庫即服務 (DBaas) 市場預測（至 2032 年）：按資料庫類型、部署類型、服務模型、組織規模、最終用戶和地區進行的全球分析

Database as a Service Market Forecasts to 2032 - Global Analysis By Database Type, Deployment Type, Service Model, Organization Size, End User and By Geography

出版日期: 2025年06月06日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球資料庫即服務 (DBaas) 市場預計在 2025 年達到 340.3 億美元，到 2032 年將達到 927.5 億美元，預測期內的複合年成長率為 15.4%。

一種名為 DBaaS（資料庫即服務）的雲端運算服務模式，讓消費者無需維護資料庫軟體或實體基礎架構即可存取資料庫。 DBaaS 提供隨選、可擴展的資料庫託管服務，服務供應商可以輕鬆設定、維護和備份資料庫。使用者可以專注於資料利用和應用開發，而服務提供者則負責基礎設施、安全和升級。 DBaaS 提供了一種靈活、經濟且高效的資料管理解決方案，可在線上使用，並支援多種類型的資料庫。

先進技術整合

人工智慧和機器學習等技術創新使預測分析和智慧數據管理成為可能。雲端運算的創新為企業帶來了成本效益、靈活性和便利性。自動化和編配解決方案透過減少人工工作，提高了營運效率。改進的安全技術確保合規性並保護資料免遭洩露。這些技術共同推動了 DBaaS 系統在全球範圍內的擴展和廣泛採用。

資料安全和隱私問題

將敏感資料儲存在雲端的消費者擔心資料外洩和未授權存取。像GDPR這樣嚴格的資料保護法規使得DBaaS公司難以遵守。由於擔心資料遺失和洩露，人們對雲端基礎的資料庫系統的信任度正在下降。這些擔憂導致一些企業推遲或迴避DBaaS解決方案。因此，市場面臨需求不確定性和採用率放緩的問題。

混合雲端和多重雲端策略

混合雲和多重雲端架構允許組織透過在不同的雲端環境中分配工作負載來最佳化效能並降低延遲。利用混合模式，公司可以將敏感資料保存在私有雲端中，並將公共雲端用於較不重要的任務，從而提高安全性和合規性。透過降低供應商鎖定的風險，多重雲端策略賦予公司更大的控制力和談判能力。透過促進順暢的資料移動和災害復原，確保了高可用性和可靠性。總而言之，透過滿足不同的業務需求並推動創新，混合雲端和多重雲端的結合加速了DBaaS的採用。

經濟不確定性

利率波動和通貨膨脹會增加營運成本，降低雲端投資的吸引力。不可預測的經濟狀況也使企業更加厭惡風險，從而限制了DBaaS等新技術的使用。外匯波動使全球定價模式更具挑戰性，影響了客戶的負擔能力和供應商的盈利。小型供應商和新興企業難以獲得資金籌措，從而抑制了競爭和創新。整體而言，不穩定的經濟環境所導致的市場負面情緒會抑制DBaaS產業的需求，並阻礙長期規劃。

COVID-19的影響

隨著企業迅速轉向遠端辦公和數位化業務，COVID-19 疫情顯著加速了資料庫即服務 (DBaaS) 市場的成長。為了支援日益成長的線上活動和即時數據訪問，對可擴展、靈活的雲端基礎數據解決方案的需求激增。企業優先考慮遷移到雲端，以提高協作、安全性和成本效益。儘管初期有所中斷，疫情凸顯了 DBaaS 在業務永續營運的關鍵作用，並推動了全球雲端資料庫技術的採用和創新。

記憶體內市場在預測期內將佔最大佔有率

預計記憶體內領域將在預測期內佔據最大市場佔有率，這得益於其能夠提供超高速資料處理和低延遲訪問，這對於即時分析和應用至關重要。資料可以直接存儲在RAM中，從而減少磁碟I/O瓶頸，並提高效能和可擴充性。該領域能夠有效率地支援動態工作負載和複雜查詢，吸引追求敏捷性和速度的企業。此外，對雲端原生解決方案日益成長的需求正在推動DBaaS平台中記憶體內的採用。總體而言，這些因素透過提供更好的用戶體驗和營運效率，推動了市場的成長。

醫療保健和生命科學領域預計將在預測期內實現最高複合年成長率

在預測期內，醫療保健和生命科學領域預計將實現最高成長率，因為該領域將產生大量複雜的患者和臨床數據，需要可擴展且安全的儲存解決方案。 DBaaS 能夠有效率地管理電子健康記錄(EHR)、研究資料和即時病患監測資訊。 DBaaS 支援快速資料存取和分析，這對於個人化醫療、藥物研發和臨床試驗至關重要。雲端基礎的資料庫增強了醫療保健提供者和研究人員之間的協作，從而改善了決策和患者預後。此外，醫療保健領域的法規遵循和資料隱私要求正在推動靈活且合規的 DBaaS 平台的採用。

比最大的地區

在預測期內，由於印度、中國和東南亞等新興經濟體的數位轉型，亞太地區預計將佔據最大的市場佔有率。智慧型手機普及率的上升、雲端基礎設施的建設以及數據分析需求的不斷成長，共同推動了這一成長。地方政府大力推動智慧城市和工業4.0，進一步推動了DBaaS的普及。儘管面臨連接性和資料隱私法規方面的挑戰，但企業越來越依賴雲端資料庫來提高靈活性和成本效益，這使得該地區成為全球DBaaS市場中一個充滿活力的成長中心。

複合年成長率最高的地區：

在預測期內，由於金融、醫療保健和IT等產業對雲端運算的採用日益增加，北美預計將實現最高的複合年成長率。強大的技術基礎設施和AWS、Microsoft Azure和Google Cloud等主要雲端服務供應商在該地區佔據主導地位。企業正在轉向可擴展、經濟高效的資料庫管理解決方案，以增強資料的可存取性和安全性。監管合規性和數據主權也在影響市場趨勢，對混合雲和多重雲端DBaaS的投資不斷增加，推動了區域市場的擴張。

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公司簡介
- 全面分析其他市場參與者（最多 3 家公司）
- 主要企業的SWOT分析（最多3家公司）
地理細分
- 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率（註：基於可行性檢查）
競爭基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第11章重大進展

協議、夥伴關係、合作和合資企業
收購與合併
新產品發布
業務擴展
其他關鍵策略

第12章公司概況

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
Crunchy Bridge

簡介目錄圖表

Product Code: SMRC29682

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

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

簡介目錄圖表

List of Tables

Table 1 Global Database as a Service Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Database as a Service Market Outlook, By Database Type (2024-2032) ($MN)
Table 3 Global Database as a Service Market Outlook, By Relational Database (RDBMS) (2024-2032) ($MN)
Table 4 Global Database as a Service Market Outlook, By NoSQL Database (2024-2032) ($MN)
Table 5 Global Database as a Service Market Outlook, By In-Memory Database (2024-2032) ($MN)
Table 6 Global Database as a Service Market Outlook, By NewSQL Database (2024-2032) ($MN)
Table 7 Global Database as a Service Market Outlook, By Graph Database (2024-2032) ($MN)
Table 8 Global Database as a Service Market Outlook, By Other Database Types (2024-2032) ($MN)
Table 9 Global Database as a Service Market Outlook, By Deployment Type (2024-2032) ($MN)
Table 10 Global Database as a Service Market Outlook, By Public Cloud (2024-2032) ($MN)
Table 11 Global Database as a Service Market Outlook, By Private Cloud (2024-2032) ($MN)
Table 12 Global Database as a Service Market Outlook, By Hybrid Cloud (2024-2032) ($MN)
Table 13 Global Database as a Service Market Outlook, By Service Model (2024-2032) ($MN)
Table 14 Global Database as a Service Market Outlook, By Infrastructure as a Service (IaaS) (2024-2032) ($MN)
Table 15 Global Database as a Service Market Outlook, By Platform as a Service (PaaS) (2024-2032) ($MN)
Table 16 Global Database as a Service Market Outlook, By Organization Size (2024-2032) ($MN)
Table 17 Global Database as a Service Market Outlook, By Small and Medium Enterprises (SMEs) (2024-2032) ($MN)
Table 18 Global Database as a Service Market Outlook, By Large Enterprises (2024-2032) ($MN)
Table 19 Global Database as a Service Market Outlook, By End User (2024-2032) ($MN)
Table 20 Global Database as a Service Market Outlook, By Banking, Financial Services, and Insurance (2024-2032) ($MN)
Table 21 Global Database as a Service Market Outlook, By IT and Telecom (2024-2032) ($MN)
Table 22 Global Database as a Service Market Outlook, By Retail and E-commerce (2024-2032) ($MN)
Table 23 Global Database as a Service Market Outlook, By Healthcare and Life Sciences (2024-2032) ($MN)
Table 24 Global Database as a Service Market Outlook, By Manufacturing (2024-2032) ($MN)
Table 25 Global Database as a Service Market Outlook, By Government and Defense (2024-2032) ($MN)
Table 26 Global Database as a Service Market Outlook, By Media and Entertainment (2024-2032) ($MN)
Table 27 Global Database as a Service Market Outlook, By Energy and Utilities (2024-2032) ($MN)
Table 28 Global Database as a Service Market Outlook, By Other End Users (2024-2032) ($MN)