资料库自动化市场：市场规模、市场占有率分析、趋势、推动因素、竞争格局和预测（2025-2030 年）

全球资料库自动化市场规模预计将从 2024 年的 23.763 亿美元成长到 2030 年的 88.541 亿美元，预测期内的复合年增长率为 24.9%。

此市场成长的主要驱动力是跨行业数据量的不断增加以及对改进系统性能的迫切需求。网路的广泛应用促使资料密集应用的激增，包括物联网、人工智慧、机器学习 (ML)、超级运算、神经网路、自动驾驶、连网医疗保健和智慧家庭。

资料库自动化最大限度地减少了手动资料库管理中固有的错误，并确保了更高的准确性和资料一致性。透过自动化资料库相关任务来简化您的 DevOps 和持续整合/持续部署 (CI/CD) 流程，促进更有效率、更快速的开发和部署。这种自动化使人力资源能够专注于决策和製定策略等重要任务，从而提高生产力并减少时间和成本。

重要见解

人工智慧、深度学习 (DL) 和 ML 技术的日益普及需要能够有效处理大量资料并快速处理的资料储存系统。资料库自动化技术增强了资料储存并加快了资料检索速度，使其成为需要即时或近即时资料处理以提供快速准确洞察的 AI 和 ML 应用至关重要。

备份和復原过程类型预计将占据最大的市场占有率，到 2024 年将占 35%。这是由于企业内部资料呈指数级增长，对备份和復原系统的需求强劲，以确保资料的安全性和可存取性。此外，由于人们对资料安全的担忧日益加剧以及防范网路威胁的需要，安全管理领域预计将成长最快，预计 2025 年至 2030 年的复合年增长率为 25.5%。

预计内部部署将主导市场，因为它们提供高资料安全性和对组织资料的完全控制。由于组织优先考虑资料保护和遵守监管标准，这种部署模式预计将在 2025 年至 2030 年期间以最高的复合年增长率成长。

预计大型企业将在 2024 年占据 60% 的最大市场占有率，并将成为成长最快的细分市场，2025 年至 2030 年的复合年增长率为 25.2%。这种成长是由大型企业产生的大量资料推动的，需要高效的储存和安全解决方案来管理和保护关键业务资讯。

预计预测期内亚太地区资料库自动化市场将出现最快的成长。新兴国家的技术发展、互联网普及率的提高以及数据密集型应用程式的不断普及是推动该地区市场扩张的关键因素。

本报告调查了全球资料库自动化市场，并提供了市场定义和概述、影响市场的因素分析、市场规模的趋势和预测、各个细分市场、地区和主要国家的详细分析、竞争环境以及主要公司的概况。

目录

第1章 调查范围

第2章 研究方法

第3章 执行摘要

第4章 市场指标

第5章 产业展望

• 市场动态
  • 趋势
  • 促进因素
  • 阻碍因素/课题
  • 促进/抑制因素影响分析
• COVID-19 的影响
• 波特五力分析

第6章 世界市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测
• 市场收入趋势与预测：按地区

第7章 北美市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测
• 市场收入趋势/预测：按国家/地区划分

第8章 欧洲市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测
• 市场收入趋势/预测：按国家/地区划分

第9章 亚太市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测
• 市场收入趋势/预测：按国家/地区划分

第10章 拉丁美洲市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测
• 市场收入趋势/预测：按国家/地区划分

第11章 中东/非洲市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测
• 市场收入趋势/预测：按国家/地区划分

第12章 美国市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第13章 加拿大市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第14章 德国市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第15章 法国市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第16章 英国市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第17章 义大利市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第18章 西班牙市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第19章 日本市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第20章 中国市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第21章 印度市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第22章 澳洲市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第23章 韩国市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第24章 巴西市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第25章 墨西哥市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第26章 沙乌地阿拉伯市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第27章 南非市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第28章 阿联酋市场

• 概述
• 按工艺类型划分的市场收入趋势和预测
• 按部署模式划分的市场收入趋势和预测
• 按公司规模划分的市场收入趋势和预测
• 终端用户市场收入趋势和预测

第29章 竞争格局

• 市场公司及其产品列表
• 各大公司的竞争对标
• 各大公司产品对标
• 近期策略发展

第30章 公司简介

• Amazon Web Services Inc.
• Oracle Corporation
• BMC Software Inc.
• SAP SE
• International Business Machines Corporation
• Cloudera Inc.
• Embarcadero Technologies Inc.
• Microsoft Corporation
• Redis Ltd.

第 31 章 附录

The global database automation market is poised for significant growth, with projections indicating an increase from $2,376.3 million in 2024 to $8,854.1 million by 2030, reflecting a robust compound annual growth rate (CAGR) of 24.9% during the forecast period.

This expansion is primarily driven by the escalating volume of data across industries and the pressing need for enhanced system performance. The widespread accessibility of the internet has led to a surge in data-intensive applications, including the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), supercomputing, neural networks, autonomous driving, connected healthcare, and smart homes.

Database automation minimizes errors inherent in manual database management, ensuring greater accuracy and data consistency. By automating database-related tasks, it streamlines DevOps and continuous integration/continuous deployment (CI/CD) processes, facilitating more efficient and rapid development and deployment. This automation allows human resources to focus on critical tasks such as decision-making and strategizing, thereby enhancing productivity and reducing time and expenses.

Key Insights

The increasing adoption of AI, deep learning (DL), and ML technologies necessitates data storage systems capable of efficiently handling large volumes of data and performing rapid operations. Database automation technologies enhance data storage and accelerate data retrieval, making them essential for AI and ML applications that require real-time or near-real-time data processing to deliver quick and accurate insights.

The backup and recovery process type is expected to hold the largest market share, accounting for 35% in 2024. This is attributed to the exponential growth of data within companies, creating a strong demand for backup and recovery systems to ensure data safety and accessibility. Additionally, the security management segment is anticipated to experience the fastest growth, with a projected CAGR of 25.5% during 2025-2030, driven by increasing concerns over data security and the need to protect against cyber threats.

On-premises deployment is expected to dominate the market, offering high data security and complete control over organizational data. This deployment mode is projected to advance at the highest CAGR during 2025-2030, as organizations prioritize data protection and compliance with regulatory standards.

Large enterprises are anticipated to hold a significant market share, accounting for 60% in 2024, and are expected to be the fastest-growing segment with a projected CAGR of 25.2% during 2025-2030. This growth is due to the massive amounts of data generated by large organizations, necessitating efficient storage and security solutions to manage and protect critical business information.

The Asia-Pacific region is expected to witness the fastest growth in the database automation market during the forecast period. Technological advancements in developing countries, increasing internet penetration, and the rising adoption of data-intensive applications are key factors contributing to this regional market expansion.

Table of Contents

Chapter 1. Research Scope

• 1.1. Research Objectives
• 1.2. Market Definition
• 1.3. Analysis Period
• 1.4. Market Size Breakdown by Segments
  • 1.4.1. Market size breakdown, by process type
  • 1.4.2. Market size breakdown, by deployment mode
  • 1.4.3. Market size breakdown, by enterprise size
  • 1.4.4. Market size breakdown, by end user
  • 1.4.5. Market size breakdown, by region
  • 1.4.6. Market size breakdown, by country
• 1.5. Market Data Reporting Unit
  • 1.5.1. Value
• 1.6. Key Stakeholders

Chapter 2. Research Methodology

• 2.1. Secondary Research
  • 2.1.1. Paid
  • 2.1.2. Unpaid
  • 2.1.3. P&S Intelligence database
• 2.2. Primary Research
• 2.3. Market Size Estimation
• 2.4. Data Triangulation
• 2.5. Currency Conversion Rates
• 2.6. Assumptions for the Study
• 2.7. Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

Chapter 5. Industry Outlook

• 5.1. Market Dynamics
  • 5.1.1. Trends
  • 5.1.2. Drivers
  • 5.1.3. Restraints/challenges
  • 5.1.4. Impact analysis of drivers/restraints
• 5.2. Impact of COVID-19
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Bargaining power of buyers
  • 5.3.2. Bargaining power of suppliers
  • 5.3.3. Threat of new entrants
  • 5.3.4. Intensity of rivalry
  • 5.3.5. Threat of substitutes

Chapter 6. Global Market

• 6.1. Overview
• 6.2. Market Revenue, by Process Type (2019-2030)
• 6.3. Market Revenue, by Deployment Mode (2019-2030)
• 6.4. Market Revenue, by Enterprise Size (2019-2030)
• 6.5. Market Revenue, by End User (2019-2030)
• 6.6. Market Revenue, by Region (2019-2030)

Chapter 7. North America Market

• 7.1. Overview
• 7.2. Market Revenue, by Process Type (2019-2030)
• 7.3. Market Revenue, by Deployment Mode (2019-2030)
• 7.4. Market Revenue, by Enterprise Size (2019-2030)
• 7.5. Market Revenue, by End User (2019-2030)
• 7.6. Market Revenue, by Country (2019-2030)

Chapter 8. Europe Market

• 8.1. Overview
• 8.2. Market Revenue, by Process Type (2019-2030)
• 8.3. Market Revenue, by Deployment Mode (2019-2030)
• 8.4. Market Revenue, by Enterprise Size (2019-2030)
• 8.5. Market Revenue, by End User (2019-2030)
• 8.6. Market Revenue, by Country (2019-2030)

Chapter 9. APAC Market

• 9.1. Overview
• 9.2. Market Revenue, by Process Type (2019-2030)
• 9.3. Market Revenue, by Deployment Mode (2019-2030)
• 9.4. Market Revenue, by Enterprise Size (2019-2030)
• 9.5. Market Revenue, by End User (2019-2030)
• 9.6. Market Revenue, by Country (2019-2030)

Chapter 10. LATAM Market

• 10.1. Overview
• 10.2. Market Revenue, by Process Type (2019-2030)
• 10.3. Market Revenue, by Deployment Mode (2019-2030)
• 10.4. Market Revenue, by Enterprise Size (2019-2030)
• 10.5. Market Revenue, by End User (2019-2030)
• 10.6. Market Revenue, by Country (2019-2030)

Chapter 11. MEA Market

• 11.1. Overview
• 11.2. Market Revenue, by Process Type (2019-2030)
• 11.3. Market Revenue, by Deployment Mode (2019-2030)
• 11.4. Market Revenue, by Enterprise Size (2019-2030)
• 11.5. Market Revenue, by End User (2019-2030)
• 11.6. Market Revenue, by Country (2019-2030)

Chapter 12. U.S. Market

• 12.1. Overview
• 12.2. Market Revenue, by Process Type (2019-2030)
• 12.3. Market Revenue, by Deployment Mode (2019-2030)
• 12.4. Market Revenue, by Enterprise Size (2019-2030)
• 12.5. Market Revenue, by End User (2019-2030)

Chapter 13. Canada Market

• 13.1. Overview
• 13.2. Market Revenue, by Process Type (2019-2030)
• 13.3. Market Revenue, by Deployment Mode (2019-2030)
• 13.4. Market Revenue, by Enterprise Size (2019-2030)
• 13.5. Market Revenue, by End User (2019-2030)

Chapter 14. Germany Market

• 14.1. Overview
• 14.2. Market Revenue, by Process Type (2019-2030)
• 14.3. Market Revenue, by Deployment Mode (2019-2030)
• 14.4. Market Revenue, by Enterprise Size (2019-2030)
• 14.5. Market Revenue, by End User (2019-2030)

Chapter 15. France Market

• 15.1. Overview
• 15.2. Market Revenue, by Process Type (2019-2030)
• 15.3. Market Revenue, by Deployment Mode (2019-2030)
• 15.4. Market Revenue, by Enterprise Size (2019-2030)
• 15.5. Market Revenue, by End User (2019-2030)

Chapter 16. U.K. Market

• 16.1. Overview
• 16.2. Market Revenue, by Process Type (2019-2030)
• 16.3. Market Revenue, by Deployment Mode (2019-2030)
• 16.4. Market Revenue, by Enterprise Size (2019-2030)
• 16.5. Market Revenue, by End User (2019-2030)

Chapter 17. Italy Market

• 17.1. Overview
• 17.2. Market Revenue, by Process Type (2019-2030)
• 17.3. Market Revenue, by Deployment Mode (2019-2030)
• 17.4. Market Revenue, by Enterprise Size (2019-2030)
• 17.5. Market Revenue, by End User (2019-2030)

Chapter 18. Spain Market

• 18.1. Overview
• 18.2. Market Revenue, by Process Type (2019-2030)
• 18.3. Market Revenue, by Deployment Mode (2019-2030)
• 18.4. Market Revenue, by Enterprise Size (2019-2030)
• 18.5. Market Revenue, by End User (2019-2030)

Chapter 19. Japan Market

• 19.1. Overview
• 19.2. Market Revenue, by Process Type (2019-2030)
• 19.3. Market Revenue, by Deployment Mode (2019-2030)
• 19.4. Market Revenue, by Enterprise Size (2019-2030)
• 19.5. Market Revenue, by End User (2019-2030)

Chapter 20. China Market

• 20.1. Overview
• 20.2. Market Revenue, by Process Type (2019-2030)
• 20.3. Market Revenue, by Deployment Mode (2019-2030)
• 20.4. Market Revenue, by Enterprise Size (2019-2030)
• 20.5. Market Revenue, by End User (2019-2030)

Chapter 21. India Market

• 21.1. Overview
• 21.2. Market Revenue, by Process Type (2019-2030)
• 21.3. Market Revenue, by Deployment Mode (2019-2030)
• 21.4. Market Revenue, by Enterprise Size (2019-2030)
• 21.5. Market Revenue, by End User (2019-2030)

Chapter 22. Australia Market

• 22.1. Overview
• 22.2. Market Revenue, by Process Type (2019-2030)
• 22.3. Market Revenue, by Deployment Mode (2019-2030)
• 22.4. Market Revenue, by Enterprise Size (2019-2030)
• 22.5. Market Revenue, by End User (2019-2030)

Chapter 23. South Korea Market

• 23.1. Overview
• 23.2. Market Revenue, by Process Type (2019-2030)
• 23.3. Market Revenue, by Deployment Mode (2019-2030)
• 23.4. Market Revenue, by Enterprise Size (2019-2030)
• 23.5. Market Revenue, by End User (2019-2030)

Chapter 24. Brazil Market

• 24.1. Overview
• 24.2. Market Revenue, by Process Type (2019-2030)
• 24.3. Market Revenue, by Deployment Mode (2019-2030)
• 24.4. Market Revenue, by Enterprise Size (2019-2030)
• 24.5. Market Revenue, by End User (2019-2030)

Chapter 25. Mexico Market

• 25.1. Overview
• 25.2. Market Revenue, by Process Type (2019-2030)
• 25.3. Market Revenue, by Deployment Mode (2019-2030)
• 25.4. Market Revenue, by Enterprise Size (2019-2030)
• 25.5. Market Revenue, by End User (2019-2030)

Chapter 26. Saudi Arabia Market

• 26.1. Overview
• 26.2. Market Revenue, by Process Type (2019-2030)
• 26.3. Market Revenue, by Deployment Mode (2019-2030)
• 26.4. Market Revenue, by Enterprise Size (2019-2030)
• 26.5. Market Revenue, by End User (2019-2030)

Chapter 27. South Africa Market

• 27.1. Overview
• 27.2. Market Revenue, by Process Type (2019-2030)
• 27.3. Market Revenue, by Deployment Mode (2019-2030)
• 27.4. Market Revenue, by Enterprise Size (2019-2030)
• 27.5. Market Revenue, by End User (2019-2030)

Chapter 28. U.A.E. Market

• 28.1. Overview
• 28.2. Market Revenue, by Process Type (2019-2030)
• 28.3. Market Revenue, by Deployment Mode (2019-2030)
• 28.4. Market Revenue, by Enterprise Size (2019-2030)
• 28.5. Market Revenue, by End User (2019-2030)

Chapter 29. Competitive Landscape

• 29.1. List of Market Players and their Offerings
• 29.2. Competitive Benchmarking of Key Players
• 29.3. Product Benchmarking of Key Players
• 29.4. Recent Strategic Developments

Chapter 30. Company Profiles

• 30.1. Amazon Web Services Inc.
  • 30.1.1. Business overview
  • 30.1.2. Product and service offerings
  • 30.1.3. Key financial summary
• 30.2. Oracle Corporation
  • 30.2.1. Business overview
  • 30.2.2. Product and service offerings
  • 30.2.3. Key financial summary
• 30.3. BMC Software Inc.
  • 30.3.1. Business overview
  • 30.3.2. Product and service offerings
  • 30.3.3. Key financial summary
• 30.4. SAP SE
  • 30.4.1. Business overview
  • 30.4.2. Product and service offerings
  • 30.4.3. Key financial summary
• 30.5. International Business Machines Corporation
  • 30.5.1. Business overview
  • 30.5.2. Product and service offerings
  • 30.5.3. Key financial summary
• 30.6. Cloudera Inc.
  • 30.6.1. Business overview
  • 30.6.2. Product and service offerings
  • 30.6.3. Key financial summary
• 30.7. Embarcadero Technologies Inc.
  • 30.7.1. Business overview
  • 30.7.2. Product and service offerings
  • 30.7.3. Key financial summary
• 30.8. Microsoft Corporation
  • 30.8.1. Business overview
  • 30.8.2. Product and service offerings
  • 30.8.3. Key financial summary
• 30.9. Redis Ltd.
  • 30.9.1. Business overview
  • 30.9.2. Product and service offerings
  • 30.9.3. Key financial summary

Chapter 31. Appendix

• 31.1. Abbreviations
• 31.2. Sources and References
• 31.3. Related Reports