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市场调查报告书
商品编码
1666911

云端资料库和 DBaaS 市场机会、成长动力、产业趋势分析和 2025 - 2034 年预测

Cloud Database and DBaaS Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 175 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年全球云端资料库和资料库即服务市场价值资料220 亿美元，预计 2025 年至 2034 年的复合年增长率将达到 19.5 % 。云端资料库和 DBaaS 解决方案正在迅速崛起，成为这些过时系统的现代替代品。这些基于云端的解决方案在云端应用程式、服务甚至内部部署系统之间分发资料，有效地解决了传统资料管理固有的低效率问题。

云端资料库和 DBaaS 市场 - IMG1

现今的企业需要可扩展、灵活、高效的资料解决方案，以确保即时存取、安全性和管理。企业迁移到云端来储存和分析大量资料不仅是一种趋势，而且是全球产业持续成长和竞争力的必要条件。云端资料库正在不断发展以满足这些需求，提供自动备份、整合安全性以及与其他云端服务的轻鬆整合等高级功能。透过这些系统，组织可以优化储存空间，跨多个平台管理资料，并确保即时资料顺畅流动，同时降低营运成本。此外，云端资料库允许企业快速扩展其基础设施，而无需大量的前期投资，这使得它们对各种规模的公司都具有越来越大的吸引力。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 220亿美元
预测值 1091亿美元
复合年增长率 19.5％

云端资料库和 DBaaS 市场的一个主要趋势是游戏化学习体验的日益融入。这项创新透过引入挑战、奖励和互动学习等类似游戏的元素，改变了个人理解复杂资料库管理概念的方式。基于云端的解决方案无缝整合这些学习模组，促进形成一个可提高知识保留率的引人入胜的协作环境。这一趋势代表着向更具活力和沈浸感的教育平台的转变，特别是在科技和 IT 领域，对资料库管理的强大掌握至关重要。

在市场区隔方面，云端资料库和 DBaaS 市场分为解决方案和服务，其中解决方案部分在 2024 年占据 60% 以上的主导份额。这些解决方案为组织提供了监控效能、高效管理资料和解决网路问题所需的工具。先进的储存管理功能还可确保资料在各种媒体平台上保持完整性，使企业更容易安全地储存和检索资料。

市场进一步按资料库类型划分，包括关联式资料库、NoSQL 和记忆体资料库。关係资料库在 2024 年占据市场主导地位，占有 53.6% 的份额，这主要归功于它们将资料建构成逻辑关係的能力。透过使用 SQL 查询和修改资料，关係资料库仍然可靠、一致，并且适合处理大量结构化资料。

从地区来看，由于各行各业广泛采用云端技术，北美将在 2024 年占据 30% 的市场份额。该地区对巨量资料分析和云端运算创新的大量投资正推动对可扩展和高效资料储存解决方案的需求不断增长。随着越来越多的企业迁移到云端平台，北美及其他地区对安全且灵活的资料库管理解决方案的需求持续上升。

目录

第 1 章：方法论与范围

  • 研究设计
    • 研究方法
    • 资料收集方法
  • 基础估算与计算
    • 基准年计算
    • 市场估计的主要趋势
  • 预测模型
  • 初步研究和验证
    • 主要来源
    • 资料探勘来源
  • 市场范围和定义

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 供应商概况
    • 解决方案提供者
    • 技术提供者
    • 服务提供者
    • 最终用途
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 监管格局
  • 定价分析
  • 衝击力
    • 成长动力
      • 资料流量和高速连线需求不断增加
      • 节省成本的好处
      • 对可扩展性和灵活性的需求不断增长
      • 政府支持数位化的倡议
    • 产业陷阱与挑战
      • 安全和隐私风险
      • 网路可靠性和服务中断
  • 成长潜力分析
  • 波特的分析
  • PESTEL 分析

第四章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第五章：市场估计与预测：按组件，2021 - 2034 年

  • 主要趋势
  • 解决方案
    • 资料库管理
    • 贮存
  • 服务
    • 专业服务
    • 託管服务

第六章：市场估计与预测：按资料库，2021 - 2034 年

  • 主要趋势
  • 关联式资料库
  • NoSQL 资料库
  • 记忆体资料库

第 7 章：市场估计与预测：按部署模型，2021 - 2034 年

  • 主要趋势
  • 民众
  • 私人的
  • 杂交种

第 8 章：市场估计与预测：按组织规模，2021 - 2034 年

  • 主要趋势
  • 中小企业
  • 大型企业

第 9 章：市场估计与预测：按最终用途，2021 - 2034 年

  • 主要趋势
  • 金融保险业协会
  • 医疗保健与生命科学
  • 零售与电子商务
  • 製造业
  • 电信和 IT
  • 政府和公共部门
  • 媒体与娱乐
  • 其他的

第 10 章：市场估计与预测：按地区，2021 - 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东及非洲
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第 11 章：公司简介

  • Alibaba Cloud
  • Amazon Web Services
  • Cloudera
  • Couchbase
  • DataStax
  • EnterpriseDB
  • Google
  • Huawei
  • IBM
  • Microsoft
  • MongoDB
  • Ninox Software
  • Nutanix
  • Oracle
  • Rackspace
  • Redis Labs
  • SAP SE
  • Snowflake
  • Tencent
  • Teradata
简介目录
Product Code: 6212

The Global Cloud Database And Database-As-A-Service Market was valued at USD 22 billion in 2024, with a robust projection of a 19.5% CAGR from 2025 to 2034. As data generation continues to increase at an unprecedented rate, traditional methods of data storage and retrieval have become inadequate to handle the massive amounts of information being produced daily. Cloud databases and DBaaS solutions are rapidly emerging as the modern alternatives to these outdated systems. These cloud-based solutions distribute data across cloud applications, services, and even on-premises systems, effectively solving the inefficiencies inherent in traditional data management.

Cloud Database and DBaaS Market - IMG1

Businesses today need scalable, flexible, and efficient data solutions that ensure real-time access, security, and management. The migration of businesses to the cloud to store and analyze large volumes of data is not just a trend but a necessity for continued growth and competitiveness in industries across the globe. Cloud databases are evolving to meet these demands, offering advanced features like automated backups, integrated security, and easy integration with other cloud services. With these systems, organizations can optimize storage space, manage data across multiple platforms, and ensure smooth data flow in real-time, all while reducing operational costs. Furthermore, cloud databases allow businesses to scale their infrastructure quickly without the need for significant upfront investments, making them increasingly attractive to companies of all sizes.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$22 Billion
Forecast Value$109.1 Billion
CAGR19.5%

One of the key trends in the cloud database and DBaaS market is the growing incorporation of gamified learning experiences. This innovation is transforming how individuals understand complex database management concepts by introducing game-like elements such as challenges, rewards, and interactive learning. Cloud-based solutions seamlessly integrate these learning modules, promoting an engaging, collaborative environment that enhances knowledge retention. This trend represents a shift towards more dynamic and immersive educational platforms, particularly in the tech and IT sectors, where a strong grasp of database management is essential.

In terms of market segmentation, the cloud database and DBaaS market is divided into solutions and services, with the solutions segment holding a dominant share of over 60% in 2024. This segment is expected to surpass USD 63 billion by 2034 due to its integral role in database management and storage. These solutions equip organizations with the tools needed to monitor performance, efficiently manage data, and resolve network issues. Advanced storage management features also ensure that data is maintained with integrity across various media platforms, making it easier for businesses to store and retrieve their data securely.

The market is further divided by database types, including relational, NoSQL, and in-memory databases. Relational databases led the market in 2024, holding a 53.6% share, largely due to their capacity to structure data into logical relationships. With their use of SQL for querying and modifying data, relational databases remain reliable, consistent, and suitable for handling large volumes of structured data.

Regionally, North America commanded a 30% share of the market in 2024, driven by the widespread adoption of cloud technologies across various industries. The region's significant investments in big data analytics and cloud computing innovations are contributing to the increasing demand for scalable and efficient data storage solutions. As more businesses migrate to cloud platforms, the need for secure and flexible database management solutions continues to rise in North America and beyond.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates & calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimation
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market scope & definition

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Solution provider
    • 3.2.2 Technology providers
    • 3.2.3 Service providers
    • 3.2.4 End use
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Regulatory landscape
  • 3.7 Pricing analysis
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increasing data traffic and demand for high-speed connectivity
      • 3.8.1.2 Benefit of cost savings
      • 3.8.1.3 Rising need for scalability and flexibility
      • 3.8.1.4 Government initiatives to support digitalization
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 Security and privacy risks
      • 3.8.2.2 Network reliability and service disruptions
  • 3.9 Growth potential analysis
  • 3.10 Porter’s analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Solution
    • 5.2.1 Database management
    • 5.2.2 Storage
  • 5.3 Service
    • 5.3.1 Professional services
    • 5.3.2 Managed services

Chapter 6 Market Estimates & Forecast, By Database, 2021 - 2034 ($Bn)

  • 6.1 Key trends
  • 6.2 Relational database
  • 6.3 NoSQL database
  • 6.4 In-memory database

Chapter 7 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Bn)

  • 7.1 Key trends
  • 7.2 Public
  • 7.3 Private
  • 7.4 Hybrid

Chapter 8 Market Estimates & Forecast, By Organization Size, 2021 - 2034 ($Bn)

  • 8.1 Key trends
  • 8.2 SME
  • 8.3 Large enterprises

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

  • 9.1 Key trends
  • 9.2 BFSI
  • 9.3 Healthcare & life sciences
  • 9.4 Retail & e-commerce
  • 9.5 Manufacturing
  • 9.6 Telecom & IT
  • 9.7 Government & public sector
  • 9.8 Media & entertainment
  • 9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Nordics
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Southeast Asia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

  • 11.1 Alibaba Cloud
  • 11.2 Amazon Web Services
  • 11.3 Cloudera
  • 11.4 Couchbase
  • 11.5 DataStax
  • 11.6 EnterpriseDB
  • 11.7 Google
  • 11.8 Huawei
  • 11.9 IBM
  • 11.10 Microsoft
  • 11.11 MongoDB
  • 11.12 Ninox Software
  • 11.13 Nutanix
  • 11.14 Oracle
  • 11.15 Rackspace
  • 11.16 Redis Labs
  • 11.17 SAP SE
  • 11.18 Snowflake
  • 11.19 Tencent
  • 11.20 Teradata