資料庫自動化市場：市場規模、市場佔有率分析、趨勢、推動因素、競爭格局和預測（2025-2030 年）

全球資料庫自動化市場規模預計將從 2024 年的 23.763 億美元成長到 2030 年的 88.541 億美元，預測期內的複合年增長率為 24.9%。

此市場成長的主要驅動力是跨行業數據量的不斷增加以及對改進系統性能的迫切需求。網路的廣泛應用促使資料密集應用的激增，包括物聯網、人工智慧、機器學習 (ML)、超級運算、神經網路、自動駕駛、連網醫療保健和智慧家庭。

資料庫自動化最大限度地減少了手動資料庫管理中固有的錯誤，並確保了更高的準確性和資料一致性。透過自動化資料庫相關任務來簡化您的 DevOps 和持續整合/持續部署 (CI/CD) 流程，促進更有效率、更快速的開發和部署。這種自動化使人力資源能夠專注於決策和製定策略等重要任務，從而提高生產力並減少時間和成本。

重要見解

人工智慧、深度學習 (DL) 和 ML 技術的日益普及需要能夠有效處理大量資料並快速處理的資料儲存系統。資料庫自動化技術增強了資料儲存並加快了資料檢索速度，使其成為需要即時或近即時資料處理以提供快速準確洞察的 AI 和 ML 應用至關重要。

備份和復原過程類型預計將佔據最大的市場佔有率，到 2024 年將佔 35%。這是由於企業內部資料呈指數級增長，對備份和復原系統的需求強勁，以確保資料的安全性和可存取性。此外，由於人們對資料安全的擔憂日益加劇以及防範網路威脅的需要，安全管理領域預計將成長最快，預計 2025 年至 2030 年的複合年增長率為 25.5%。

預計內部部署將主導市場，因為它們提供高資料安全性和對組織資料的完全控制。由於組織優先考慮資料保護和遵守監管標準，這種部署模式預計將在 2025 年至 2030 年期間以最高的複合年增長率成長。

預計大型企業將在 2024 年佔據 60% 的最大市場佔有率，並將成為成長最快的細分市場，2025 年至 2030 年的複合年增長率為 25.2%。這種成長是由大型企業產生的大量資料推動的，需要高效的儲存和安全解決方案來管理和保護關鍵業務資訊。

預計預測期內亞太地區資料庫自動化市場將出現最快的成長。新興國家的技術發展、互聯網普及率的提高以及數據密集型應用程式的不斷普及是推動該地區市場擴張的關鍵因素。

本報告調查了全球資料庫自動化市場，並提供了市場定義和概述、影響市場的因素分析、市場規模的趨勢和預測、各個細分市場、地區和主要國家的詳細分析、競爭環境以及主要公司的概況。

目錄

第1章 調查範圍

第2章 研究方法

第3章 執行摘要

第4章 市場指標

第5章 產業展望

• 市場動態
  • 趨勢
  • 促進因素
  • 阻礙因素/課題
  • 促進/抑制因素影響分析
• COVID-19 的影響
• 波特五力分析

第6章 世界市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測
• 市場收入趨勢與預測：按地區

第7章 北美市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測
• 市場收入趨勢/預測：按國家/地區劃分

第8章 歐洲市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測
• 市場收入趨勢/預測：按國家/地區劃分

第9章 亞太市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測
• 市場收入趨勢/預測：按國家/地區劃分

第10章 拉丁美洲市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測
• 市場收入趨勢/預測：按國家/地區劃分

第11章 中東/非洲市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測
• 市場收入趨勢/預測：按國家/地區劃分

第12章 美國市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第13章 加拿大市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第14章 德國市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第15章 法國市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第16章 英國市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第17章 義大利市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第18章 西班牙市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第19章 日本市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第20章 中國市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第21章 印度市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第22章 澳洲市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第23章 韓國市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第24章 巴西市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第25章 墨西哥市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第26章 沙烏地阿拉伯市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第27章 南非市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第28章 阿聯酋市場

• 概述
• 按工藝類型劃分的市場收入趨勢和預測
• 按部署模式劃分的市場收入趨勢和預測
• 按公司規模劃分的市場收入趨勢和預測
• 終端用戶市場收入趨勢和預測

第29章 競爭格局

• 市場公司及其產品列表
• 各大公司的競爭對標
• 各大公司產品對標
• 近期策略發展

第30章 公司簡介

• 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 附錄

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