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市場調查報告書
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1644440

資料庫自動化：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）

Database Automation - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

資料庫自動化市場規模預計在 2025 年為 29.2 億美元，預計到 2030 年將達到 87 億美元，預測期內（2025-2030 年）的複合年成長率為 24.38%。

資料庫自動化-市場-IMG1

各行業資料量的不斷增加、對冗餘資料庫庫管理流程自動化的需求、自動化測試解決方案以及對上市速度的不斷成長的需求預計將增加各行業對資料庫自動化的需求。然而，當涉及資料建模和模式生成時，需要人工干預可能會阻礙成長。

主要亮點

  • 自治資料庫減少了忙於日常備份、擴展、調整、監控和保護關鍵資訊系統業務的技術專業人員所需的複雜性和時間。
  • 當今的資料管道比以前的更加複雜。物聯網等新資料來源、非結構化資料等格式以及 Apache Kafka 和 Python 等平台和語言正在創建更複雜的管道。資料庫自動化利用人工智慧和機器學習為配置、安全性、更新、可用性、效能、變更管理和錯誤預防提供完整的端到端自動化，並包括查詢最佳化、自動記憶體管理和儲存管理，以提供完全自調整的資料庫。
  • 市場上的供應商採用靈活的計量收費模式對其產品定價，從而降低了維護內部資料倉儲的成本。例如，中國運輸、航運和物流公司嘉里大通就使用Oracle的自主資料庫。該公司透過按使用計量收費模式，將分析超過 1 億筆資料記錄的時間從 30 分鐘縮短到 10 秒，大幅降低了 IT 管理成本，並提高了投資收益。
  • COVID-19 的蔓延導致世界各地實施封鎖，關鍵任務應用程式和資料庫位負載增加，給 IT 團隊帶來巨大壓力，並導致資料庫自動化的需求激增。隨著需求的增加，供應商以低價提供免費工具和其他產品以吸引更多客戶。由於各行各業資料的增加，資料庫自動化市場預計將長期快速成長。

資料庫自動化市場的趨勢

IT和通訊業預計將大幅成長

  • 通訊業是產生資料最多的行業之一，公司主要提供旨在大規模資料整合的雲端服務。隨著通訊業者對雲端的需求不斷成長，資料庫自動化和通訊業者合作夥伴關係正在成為一種普遍趨勢。例如，義大利電信業者Sielte SPA採用了Severalnines Cluster Control。 Severalnines Cluster Control 是一種運作資料庫解決方案，可提供自動容錯移轉和復原功能，以最大限度地減少停機時間，並確保即使資料中心發生故障也能提供穩定的服務。
  • 對機器學習 (ML) 和深度學習 (DL) 應用的巨大需求迫使資料庫自動化供應商建立更全面的人工智慧 (AI) 產品。根據 Liquibase 所做的「應用程式交付中資料庫採用狀況」調查，57% 的應用程式變更都需要進行相應的資料庫變更。在大型稀疏資料集上進行機器學習和深度學習，需要能夠儲存Terabyte資料並執行快速並行運算的資料管理系統，這使其非常適合資料自動化解決方案，因此在 IT 和通訊業迅速普及。
  • 此外，軟體開發人員和營運工程師越來越重視採用 DevOps 來自動化開發、部署、文​​件、檢驗和監控流程，整合開發和營運流程以有效地同步、驗證、管理和應用資料庫更改，這也推動了資料庫自動化在行業中的成長。
  • 此外，擴大採用公有和私有雲端來有效管理大量資料，這也推動了對更好、更具成本效益的資料庫自動化解決方案的需求。例如，Oracle 自治資料庫將雲端的靈活性與機器學習的強大功能結合在一起。該公司聲稱，該解決方案透過全面的營運自動化和調整可將管理成本降低高達 80%，並且透過僅在任何給定時間收費所需的資源費用可將運行時成本降低高達 90%。

預計北美將佔很大佔有率

  • 各大 IT 公司擴大採用巨量資料解決方案來簡化和提高業務效率，這推動了企業辦公室資料中心的擴張。因此，越來越多的公司，尤其是中小型企業，正在採用基於容器和微型資料中心，而不是傳統的資料中心基礎設施。由於該地區在技術採用方面的優勢，這些趨勢預計將進一步加速該地區資料庫自動化市場的成長。
  • 透過在二線城市進行模組化資料中心投資，該地區的資料中心基礎設施解決方案正在持續成長。這些投資可能會推動資料中心基礎設施管理解決方案提供者的崛起。美國正在採取多項措施來實現其基礎設施的現代化。例如，美國計劃投資約2.49億美元用於私有雲端運算服務和資料中心。
  • 此外，加拿大政府還採用了「雲端優先」策略，這意味著在啟動任何資訊技術投資、計劃、策略或計劃時，雲端服務將被確定和評估為主要交付選項。雲端運算還有望使加拿大政府能夠利用私人供應商的創新，並使其資訊技術更加靈活。
  • 此外，加州的《消費者隱私法案》（CCPA）將於 2020 年初生效，這將增加資料庫合規性的需求。這些因素共同推動了對自適應、安全和高效的資料庫系統以及簡單的資料庫管理工具和流程的需求。

資料庫自動化行業概覽

資料庫自動化市場處於半固體，主要參與者眾多，競爭激烈。市場參與者正在採用合作和收購等策略，為客戶提供最佳解決方案並獲得競爭優勢。高投資成本、現有參與者的存在以及不斷發展的技術等因素對新進者構成了障礙。

  • 2023 年 11 月綜合資料庫DevOps 供應商 Redgate 宣布推出 Redgate 測試資料管理器，它簡化了測試資料管理 (TDM) 以及跨資料庫的現代軟體開發相關的挑戰。
  • 2023 年 10 月 - 無程式碼、SaaS、受專利保護的文件產生、組裝和工作流程自動化平台 Kim 推出應用程式產生器。

其他福利：

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • COVID-19 對全球資料庫自動化市場的影響

第5章 市場動態

  • 市場促進因素
    • 各行業資料量不斷增加
    • 對自動化重複資料庫管理流程的需求不斷增加
  • 市場挑戰
    • 需要人類參與

第6章 市場細分

  • 按組件
    • 解決方案
      • 資料庫補丁和發布自動化
      • 自動化應用程式發布
      • 資料庫測試自動化
    • 服務
  • 依部署方式
    • 雲
    • 本地
  • 按公司規模
    • 大型企業
    • 中小型企業
  • 最終用戶產業
    • 銀行、金融服務和保險（BFSI）
    • 資訊科技和電訊
    • 電子商務與零售
    • 製造業
    • 政府和國防
    • 其他（製造、媒體和娛樂）
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第7章 競爭格局

  • 公司簡介
    • Oracle Corporation
    • BMC Software, Inc.
    • Amazon Web Services, Inc.
    • SAP SE
    • IBM Corporation
    • IDERA, Inc.
    • Quest Software Inc.
    • Datavail
    • CA Technologies（Broadcom Inc）
    • Bryter US Inc.

第8章投資分析

第9章：市場的未來

簡介目錄
Product Code: 71772

The Database Automation Market size is estimated at USD 2.92 billion in 2025, and is expected to reach USD 8.70 billion by 2030, at a CAGR of 24.38% during the forecast period (2025-2030).

Database Automation - Market - IMG1

The increasing volume of data across industries, the need to automate redundant database management processes, automated testing solutions, and the growing need for faster speed to market is expected to grow the demand for database automation across industries. However, the need for human intervention when it comes to data modeling and schema generation might hinder growth.

Key Highlights

  • While some technology professionals are still consumed with routine operations such as backing up, scaling, tuning, monitoring, and securing critical information systems, autonomous databases make these activities less complicated and time-consuming.
  • Modern data pipelines are more complex than traditional ones. New data sources like IoT, formats such as unstructured data, and platforms and languages such as Apache Kafka and Python are creating more complex pipelines. Database automation leverages AI and machine learning to provide full, end-to-end automation for provisioning, security, updates, availability, performance, change management, and error prevention and includes query optimization, automatic memory management, and storage management to provide a completely self-tuning database.
  • Vendors in the market are pricing their products on flexible pay-as-you-go pricing models, which reduces the costs of maintaining on-premises data warehouses. For instance, Kerry EAS, a Logistics, shipping, and logistics company in China, uses Oracle's autonomous database. The company reduced the time taken to analyze its 100 million-plus data records from 30 minutes to 10 seconds and significantly reduced IT management costs, and increased return on investment by leveraging the pay-as-you-go model.
  • The spread of COVID-19 led to lockdowns in various parts of the globe, putting the IT teams under tremendous pressure due to increased digital loads on mission-critical applications and databases, spiking the demand for database automation. To acquire more customers during this increased demand, the vendors offered free tools and other offerings at a lower cost. The market is expected to grow rapidly in the long term as data grows across industries.

Database Automation Market Trends

IT and Telecommunication industry is Expected to Witness Significant Growth

  • Telecom is among the sectors with the highest rate of data generation, and companies are offering cloud services mainly oriented to large-scale data integration. As the need for cloud is expanding among telecom clients, the partnership between database automation and telecom companies is becoming a common trend. For instance, Sielte S.P.A., an Italian Telecommunications company located in Italy, opted for Severalnines Cluster Control, a database solution that can operate 24x7 and offered automatic failover and recovery to minimize downtime and ensure a stable service even in the event of a data center going down.
  • The increasing demand for applications leveraging machine learning (ML) and deep learning (DL) on a gigantic scale is anticipated to increasingly push database automation vendors to establish a more comprehensive array of artificial intelligence (AI). According to the State of Database Deployments in Application Delivery survey conducted by Liquibase, 57% of all application changes require a corresponding database change. Machine learning and deep learning on large, sparse data sets require a data management system that can store terabytes of data and perform fast parallel computations-tasks for which data automation solutions are ideally suited; hence is growing more rapidly in the IT and telecommunications industry.
  • Moreover, increasing emphasis on implementing DevOps to automate the development, deployment, documentation, testing, and monitoring processes between software developers and operations engineers for integrating the development and operations processes to synchronize efficiently, validate, manage, and apply database changes is also proliferating the growth of database automation in the industry.
  • Furthermore, the increasing adoption of public and private clouds to efficiently manage humongous data also increases the need for better and cost-effective database automation solutions. For instance, Oracle Autonomous Database combines the cloud's flexibility with machine learning's power. The company claims the solution can reduce administration costs by up to 80% with full operations automation and tuning and runtime costs by up to 90% by billing only for resources needed at any given time.

North America is Expected to Hold Major Share

  • The increasing deployment of Big Data solutions by major IT enterprises to enhance efficiency and streamline their business operations is driving the expansion of data centers in corporate offices. Hence, these enterprises, mainly small and medium enterprises, are adopting containerized and micro data centers over conventional data center infrastructures. These trends are expected to augment further the growth of the database automation market in the region, owing to the dominance of the area in technology adoption.
  • The region has maintained continued growth in data center infrastructure solutions through modular data center investments in tier-2 cities. These investments will enable data center infrastructure management solutions providers to rise. The United States has made several efforts to modernize its infrastructure. For instance, the US Army plans to invest approximately USD 249 million to deploy private cloud computing services and data centers.
  • Moreover, the Government of Canada has a 'cloud-first' strategy, whereby cloud services are identified and evaluated as the principal delivery option when initiating information technology investments, initiatives, strategies, and projects. The cloud is also expected to allow the Government of Canada to harness the innovation of private-sector providers to make its information technology more agile.
  • Moreover, Consumer Privacy Act (CCPA) takes effect at the start of 2020 in California, adding to the need for database compliance. The combination of all these factors indicates that companies will need adaptable, secure, efficient database systems, and simple database management tools and processes.

Database Automation Industry Overview

The database automation market is semi-consolidated owing to the presence of big players in the market and intense competition. The players in the market are adopting strategies such as partnerships and acquisitions to offer the best solutions to the customers and gain a competitive advantage. Factors such as high investment, the presence of established players, and continuously evolving technology act as barriers for new entrants in the market.

  • November 2023: Redgate, the comprehensive database DevOps provider, launched Redgate Test Data Manager, which simplifies the challenges that come with Test Data Management (TDM) and modern software development across various databases.
  • October 2023 - Kim, the no-code, SaaS, patent-protected document generation, assembly, and workflow automation platform, launched its Application Generator to allow individuals in organizations to generate complete web applications from their existing documents without IT development or coding skills and no false positive errors.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 IMPACT OF COVID-19 ON THE GLOBAL DATABASE AUTOMATION MARKET

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Continuously Growing Volumes of Data Across Verticals
    • 5.1.2 Increasing Demand for Automating Repetitive Database Management Processes
  • 5.2 Market Challenges
    • 5.2.1 The Need for Human Involvement

6 MARKET SEGMENTATION

  • 6.1 Component
    • 6.1.1 Solution
      • 6.1.1.1 Database Patch and Release Automation
      • 6.1.1.2 Application Release Automation
      • 6.1.1.3 Database Test Automation
    • 6.1.2 Services
  • 6.2 Deployment Mode
    • 6.2.1 Cloud
    • 6.2.2 On-Premises
  • 6.3 Enterprise Size
    • 6.3.1 Large Enterprises
    • 6.3.2 Small and Medium-Sized Enterprises
  • 6.4 End-user Industry
    • 6.4.1 Banking, Financial Services and Insurance (BFSI)
    • 6.4.2 IT and Telecom
    • 6.4.3 E-commerce and Retail
    • 6.4.4 Manufacturing
    • 6.4.5 Government and Defense
    • 6.4.6 Others (Manufacturing, Media and Entertainment)
  • 6.5 Geography
    • 6.5.1 North America
    • 6.5.2 Europe
    • 6.5.3 Asia-Pacific
    • 6.5.4 Latin America
    • 6.5.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Oracle Corporation
    • 7.1.2 BMC Software, Inc.
    • 7.1.3 Amazon Web Services, Inc.
    • 7.1.4 SAP SE
    • 7.1.5 IBM Corporation
    • 7.1.6 IDERA, Inc.
    • 7.1.7 Quest Software Inc.
    • 7.1.8 Datavail
    • 7.1.9 CA Technologies (Broadcom Inc)
    • 7.1.10 Bryter US Inc.

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET