시장보고서
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세계의 데이터베이스 자동화 시장 : 시장 규모, 점유율, 동향 분석(컴포넌트별, 용도별, 최종 용도별, 지역별), 전망, 예측(2025-2032년)

Global Database Automation Market Size, Share & Industry Analysis Report By Component, By Application, By End-use, By Regional Outlook and Forecast, 2025 - 2032

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 342 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 데이터베이스 자동화 시장 규모는 예측 기간 중에 CAGR 26.6%로 증가해, 2032년까지 123억 1,000만 달러에 이를 것으로 예상되고 있습니다.

KBV Cardinal matrix - 데이터베이스 자동화 시장 경쟁 분석

KBV Cardinal matrix의 분석에 따르면, Microsoft Corporation과 Amazon Web Services, Inc.가 이 시장의 선구자이며, 2024년 9월, Amazon Web Services, Inc. 인 Oracle과 제휴하여 AWS 클라우드 내에서 Oracle 데이터베이스 서비스를 제공한다고 발표했습니다. 이 서비스 'Oracle Database&AWS'는 AWS 인프라에서 Oracle Autonomous Database와 Exadata를 통합하고, 통합 과금, 지원, AWS 툴과의 원활한 통합을 제공함으로써, 멀티 클라우드 솔루션과 저레이턴트, 저비용을 실현합니다. Oracle Corporation, Siemens AG, IBM Corporation과 같은 기업들은 이 시장의 주요 혁신가들이며, 멀티 클라우드 솔루션과 낮은 레이턴시 성능을 제공합니다.

시장 성장 요인

디지털 시대에 조직이 생성하는 데이터의 양은 그 어느 때보다 빠르게 증가하고 있습니다. 이러한 급격한 증가는 인터넷 연결 기기의 보급, 소셜 미디어를 통한 교류, 전자상거래 거래, 사물인터넷(IoT)과 같은 기술의 도입 등 다양한 요인에 의해 발생합니다. 그 결과, 기업은 방대한 양의 정형 및 비정형 데이터에 매몰되어 이를 효과적으로 저장, 관리, 분석해야 할 필요성이 대두되고 있습니다. 즉, 데이터가 기하급수적으로 증가하는 상황에서 데이터베이스 자동화 도입은 더 이상 단순한 이점이 아닌, 데이터 자산을 최대한 활용하고자 하는 조직에 필수적인 요소로 자리 잡고 있습니다.

또한, 현대의 조직은 On-Premise 시스템, 클라우드 서비스, 하이브리드 인프라가 혼합된 복잡한 IT 환경에서 운영되는 경우가 많습니다. 이러한 다양성은 클라우드 서비스의 확장성과 On-Premise 시스템이 제공하는 제어성 등 서로 다른 플랫폼의 장점을 활용해야 할 필요성에서 비롯됩니다. 또한, 기업은 관계형 데이터베이스, NoSQL, 인메모리 데이터베이스 등 특정 용도 요구사항에 따라 다양한 유형의 데이터베이스를 사용하고 있습니다. 따라서 IT 환경이 복잡해짐에 따라 데이터베이스 자동화는 원활하고 안정적인 운영을 유지하는 데 있어 점점 더 중요한 역할을 하게 될 것입니다.

시장 성장 억제요인

그러나 데이터베이스 자동화 솔루션 도입의 주요 장벽 중 하나는 막대한 초기 투자가 필요하다는 점입니다. 자동화 툴을 도입하려면 소프트웨어 조달뿐만 아니라 관련 인프라 업그레이드 및 교육에 많은 자금이 필요한 경우가 많습니다. 중소기업(SME)의 경우, 이러한 비용은 엄청난 부담이 될 수 있으며, 기존 데이터베이스 관리 방식으로부터의 전환을 주저하게 만드는 요인이 될 수 있습니다. 따라서 조직은 데이터베이스 자동화 솔루션 도입에 대한 정보에 입각한 의사결정을 내리기 위해 초기 비용과 지속적인 비용, 그리고 통합 문제를 신중하게 평가해야 합니다.

가치사슬 분석

이 시장의 가치사슬은 컴퓨팅 인프라와 데이터 툴 등 원자재 조달로 시작됩니다. 그 다음에는 핵심 자동화 기능을 구축하는 소프트웨어 개발이 이어집니다. 컴포넌트 통합은 다양한 모듈과 시스템이 함께 작동할 수 있도록 보장합니다. 테스트와 품질 보증을 통해 시스템의 성능과 신뢰성을 검증합니다. 테스트가 완료된 솔루션은 마케팅과 영업을 거쳐 유통과 도입으로 진행되어 최종 사용자에게 전달됩니다. 판매 후 지원은 고객의 요구와 기술적 문제에 대응합니다. 피드백 루프를 통해 얻은 지식은 제품 혁신과 업데이트에 활용되고, 개선이 촉진되고, 조달 및 개발로 피드백됩니다. 이를 통해 솔루션의 지속적인 강화를 보장합니다.

구성요소별 전망

구성 요소별로 시장은 솔루션과 서비스로 분류됩니다. 서비스 부문은 2024년 시장 매출 점유율 40.46%를 차지할 것으로 예측됩니다. 서비스 부문에는 조직이 데이터베이스 자동화 솔루션을 도입하고 최적화할 수 있도록 지원하는 컨설팅, 구축, 교육, 관리형 서비스가 포함됩니다. 이러한 서비스는 레거시 시스템으로부터의 원활한 마이그레이션, 도입의 복잡성을 해결하고 운영 효율성을 달성하는 데 필수적입니다.

용도별 전망

용도별로 시장은 프로비저닝, 백업, 보안 컴플라이언스 등 세 가지로 분류됩니다. 백업 부문은 2024년 시장 매출 점유율 30.80%를 차지할 것으로 예측됩니다. 백업 자동화는 데이터 보호, 복구 보장 및 비즈니스 연속성이라는 중요한 요구를 충족시킵니다. 모든 산업 분야의 조직은 수동 스케줄링 없이 정기적이고 신뢰할 수 있는 백업을 보장하기 위해 자동 백업 솔루션을 도입하고 있습니다. 최신 백업 자동화 도구는 모니터링 시스템과 통합되어 백업의 무결성을 검증하고 장애 및 이상 발생 시 복구 프로토콜을 자동으로 실행합니다.

최종 용도별 전망

최종 용도별로 시장은 BFSI, IT 및 통신, 의료 및 생명과학, 정부 기관, 소매업, 제조, 기타 최종 용도로 분류됩니다. 이 부문은 2024년 20.34% 시장 점유율을 기록했으며, IT 및 통신 산업은 대규모 사용자 기반, 높은 데이터 처리량, 지속적인 서비스 가용성을 지원하기 위해 데이터베이스 자동화에 의존하고 있습니다. 자동화는 데이터베이스 프로비저닝, 부하 분산, 시스템 모니터링을 강화하여 통신 사업자와 IT 서비스 제공업체가 중단 없는 연결을 제공하고 신속한 서비스 배포를 지원할 수 있도록 돕습니다.

지역별 전망

지역별로는 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카로 구분되며, 2024년 세계 양자 처리 장비 시장에서 북미가 36.2%로 가장 큰 시장 점유율을 차지할 것으로 예상되며, 유럽과 아시아태평양이 그 뒤를 이을 것으로 예측됩니다. 북미는 강력한 디지털 인프라와 AI 기반 기술의 조기 도입으로 시장을 선도하고 있습니다. 미국과 캐나다를 중심으로 한 이 지역에는 주요 클라우드 및 소프트웨어 벤더들이 자리 잡고 있습니다. 금융 및 의료 분야의 기업들은 자동화를 통해 성과를 개선하고 컴플라이언스를 준수하기 위해 자동화를 활용하고 있습니다.

시장 경쟁과 특성

이 시장은 여전히 경쟁이 치열하며, 수많은 신생 벤더와 스타트업이 혁신을 주도하고 있습니다. 이들 기업은 틈새 솔루션, 비용 효율적인 서비스, AI를 활용한 자동화에 초점을 맞추고 중소기업을 확보하기 위해 노력하고 있습니다. 시장에서의 빠른 기술 발전은 민첩성과 맞춤화를 촉진하는 한편, 파트너십과 클라우드 네이티브 솔루션은 이들 기업이 시장 지배력을 높이고 제품을 차별화하는 데 도움이 되고 있습니다.

목차

제1장 시장 범위 및 분석 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 분석 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 경쟁 분석 : 세계 시장

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 사업 제휴 및 협력, 계약
    • 제품 발매, 확대
    • 인수합병(M&A)
  • 시장 점유율 분석(2024년)
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter의 Five Forces 분석

제5장 데이터베이스 자동화 시장 : 밸류체인 분석

  • 원재료 조달
  • 소프트웨어 개발
  • 컴포넌트 통합
  • 테스트 및 품질 보증
  • 마케팅 및 세일즈
  • 유통 및 전개
  • 애프터서비스
  • 제품 혁신 및 업그레이드
  • 피드백 루프

제6장 세계의 데이터베이스 자동화 시장 : 주요 고객 기준

  • 자동화의 깊이와 폭
  • 통합 용이성
  • 보안 및 컴플라이언스 기능
  • 확장성 및 퍼포먼스
  • AI 및 예측 기능
  • 지원 및 트레이닝 서비스
  • 총소유비용(TCO)
  • 사용자 체험 및 인터페이스

제7장 세계의 데이터베이스 자동화 시장 : 컴포넌트별

  • 세계의 솔루션 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제8장 세계의 데이터베이스 자동화 시장 : 용도별

  • 세계의 프로비저닝 시장 : 지역별
  • 세계의 백업 시장 : 지역별
  • 세계의 보안 및 컴플라이언스 시장 : 지역별

제9장 세계의 데이터베이스 자동화 시장 : 최종 용도별

  • 세계의 은행, 금융서비스 및 보험(BFSI) 시장 : 지역별
  • 세계의 IT 및 통신 시장 : 지역별
  • 세계의 의료 및 생명과학 시장 : 지역별
  • 세계의 정부 시장 : 지역별
  • 세계의 소매업 시장 : 지역별
  • 세계의 제조업 시장 : 지역별
  • 세계의 기타 최종 용도 시장 : 지역별

제10장 세계의 데이터베이스 자동화 시장 : 지역별

  • 북미
    • 북미의 데이터베이스 자동화 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 데이터베이스 자동화 시장 : 국가별
      • 영국
      • 독일
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 데이터베이스 자동화 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카/중동 및 아프리카
    • 라틴아메리카/중동 및 아프리카의 데이터베이스 자동화 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카/중동 및 아프리카

제11장 기업 개요

  • Honeywell International, Inc
  • Emerson Electric Co
  • Mitsubishi Electric Corporation
  • Siemens AG
  • Rockwell Automation, Inc
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • SAP SE

제12장 데이터베이스 자동화 시장을 위한 성공 필수 조건

LSH 25.07.21

The Global Database Automation Market size is expected to reach $12.31 billion by 2032, rising at a market growth of 26.6% CAGR during the forecast period.

A notable market trend within this segment is the integration of artificial intelligence and machine learning algorithms, which empower platforms with self-healing capabilities and predictive analytics. Cloud-native and hybrid automation solutions are also gaining traction, particularly among enterprises pursuing agile infrastructure models and cost-efficient deployments.

The major strategies followed by the market participants are partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In April, 2025, SAP SE teamed up with Google, an IT company to advance enterprise AI by contributing to the Agent2Agent (A2A) interoperability protocol. This collaboration focuses on enabling AI agents to seamlessly interact across platforms, improving automation and business outcomes. SAP also expands access to Google's AI models for more flexibility in enterprise solutions. Additionally, In September, 2024, IBM Corporation teamed up with Salesforce, a software company to provide AI-driven autonomous agents for improving sales and service processes, particularly in regulated industries. By integrating Salesforce Data Cloud with IBM's Watson, businesses can leverage mainframe and Db2 data to automate tasks, enhance productivity, and ensure compliance. The collaboration supports customizable AI agents for various business challenges.

KBV Cardinal Matrix - Database Automation Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Amazon Web Services, Inc. are the forerunners in this Market. In September, 2024, Amazon Web Services, Inc. announced the partnership with Oracle, a computer software company to offer Oracle Database services within the AWS cloud. The service, Oracle Database@AWS, integrates Oracle Autonomous Database and Exadata on AWS infrastructure, providing unified billing, support, and seamless integration with AWS tools, aiming for multi-cloud solutions and low-latency performance. Companies such as Oracle Corporation, Siemens AG, and IBM Corporation are some of the key innovators in this Market.

Market Growth Factors

In the digital era, the volume of data generated by organizations has been increasing at an unprecedented rate. This surge is driven by various factors, including the proliferation of internet-connected devices, social media interactions, e-commerce transactions, and the adoption of technologies like the Internet of Things (IoT). As a result, businesses are inundated with vast amounts of structured and unstructured data that need to be stored, managed, and analyzed effectively. In conclusion, as data continues to grow exponentially, adopting database automation is no longer just beneficial-it has become essential for organizations aiming to fully leverage their data assets.

Additionally, Modern organizations often operate in complex IT environments that encompass a mix of on-premises systems, cloud services, and hybrid infrastructures. This diversity arises from the need to leverage the benefits of different platforms, such as the scalability of cloud services and the control offered by on-premises systems. Additionally, businesses may utilize various types of databases, including relational, NoSQL, and in-memory databases, each serving specific application requirements. Hence, as IT environments grow more complex, database automation plays an increasingly vital role in maintaining seamless and reliable operations.

Market Restraining Factors

However, one of the primary barriers to adopting database automation solutions is the substantial initial investment required. Implementing automation tools often necessitates significant financial resources, not only for the procurement of software but also for the associated infrastructure upgrades and training. For small and medium-sized enterprises (SMEs), these costs can be prohibitive, leading to reluctance in transitioning from traditional database management methods. Therefore, organizations must carefully evaluate both the initial and ongoing costs, as well as integration challenges, to make informed decisions about adopting database automation solutions.

Value Chain Analysis

The value chain for this market begins with Raw Material Sourcing, such as computing infrastructure and data tools. This is followed by Software Development, where core automation functionalities are built. Component Integration ensures various modules and systems work cohesively. Testing and Quality Assurance validate system performance and reliability. Once tested, solutions move through Marketing and Sales, and into Distribution and Deployment to reach end-users. Post-Sales Support handles customer needs and technical issues. Insights gathered via the Feedback Loop inform Product Innovation and Updates, driving improvements that loop back into sourcing and development-ensuring continuous enhancement of solutions.

Component Outlook

Based on Component, the market is segmented into Solution, and Services. The Services segment garnered 40.46 % revenue share in the market in 2024. The Services segment includes consulting, deployment, training, and managed services that support organizations in adopting and optimizing database automation solutions. These services are essential for ensuring smooth migration from legacy systems, addressing deployment complexities, and achieving operational excellence.

Application Outlook

Based on Application, the market is segmented into Provisioning, Backup, and Security & Compliance. The Backup segment acquired 30.80 % revenue share in the market in 2024. Backup automation addresses the critical need for data protection, recovery assurance, and business continuity. Organizations across industries are implementing automated backup solutions to ensure regular, reliable backups without manual scheduling. Modern backup automation tools integrate with monitoring systems to validate the integrity of backups and automatically trigger recovery protocols in case of failures or anomalies.

End-use Outlook

Based on End-use, the market is segmented into BFSI, IT & Telecom, Healthcare & Life Sciences, Government, Retail, Manufacturing, and Other End-use. The segment witnessed 20.34 % revenue share in the market in 2024. The IT & Telecom industry relies on database automation to support massive user bases, high data throughput, and continuous service availability. Automation enhances database provisioning, load balancing, and system monitoring-enabling telecom operators and IT service providers to deliver uninterrupted connectivity and support rapid service deployments.

Regional Outlook

Based on the Region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment gained the largest market share of 36.2% in 2024, in Global Quantum Processing Unit Market followed by Europe and Asia Pacific. North America leads the market due to its robust digital infrastructure and early adoption of AI-driven technologies. Dominated by the U.S. and Canada, the region is home to major cloud and software vendors. Enterprises in sectors like finance and healthcare are leveraging automation to improve performance and ensure compliance.

Market Competition and Attributes

This market remains highly competitive with numerous emerging vendors and startups driving innovation. These players focus on niche solutions, cost-effective services, and AI-driven automation to attract small to mid-sized enterprises. The market sees rapid technological advancements, fostering agility and customization, while partnerships and cloud-native solutions help these companies gain market traction and differentiate offerings.

Recent Strategies Deployed in the Market

  • May-2025: IBM Corporation unveiled new AI and hybrid cloud tools to advance enterprise adoption of AI agents. Highlights include Watsonx Orchestrate for rapid agent creation, and enhanced unstructured data handling via Watsonx. Data, hybrid integration automation, and open, secure AI infrastructure-marking a shift from experimentation to measurable outcomes.
  • Feb-2025: IBM Corporation acquired HashiCorp, a Software company, enhancing its hybrid cloud platform. The move strengthens IBM's capabilities in IT automation, infrastructure lifecycle management, and security. HashiCorp's tools like Terraform and Vault will integrate with IBM offerings, supporting scalable, automated multi-cloud and hybrid cloud operations for enterprise clients.
  • Feb-2025: SAP SE unveiled the Business Data Cloud (BDC) to integrate structured and unstructured data across its platform, with support from Databricks. This platform enhances AI-driven automation and decision-making, leveraging AI agents like Joule for various business processes. The partnership aims to simplify data integration, improve governance, and enable enterprise-wide analytics.
  • Dec-2024: Amazon Web Services, Inc. unveiled Aurora DSQL, a new serverless, distributed SQL database with high availability, PostgreSQL compatibility, and faster performance than competitors like Google Spanner. It offers independent scaling of reads and writes, strong consistency, and active-active architecture, ensuring continuous availability. Aurora DSQL uses precise time synchronization for global consistency.
  • Oct-2024: Microsoft Corporation unveiled Drasi, an open-source system for real-time event processing and automation. Drasi simplifies detecting critical events in complex infrastructures by offering real-time monitoring, continuous queries, and automated responses. It integrates with platforms like PostgreSQL, Microsoft Dataverse, and Azure Event Grid, providing developers with flexible and adaptable solutions.

List of Key Companies Profiled

  • Honeywell International, Inc.
  • Emerson Electric Co.
  • Mitsubishi Electric Corporation
  • Siemens AG
  • Rockwell Automation, Inc.
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • SAP SE

Global Database Automation Market Report Segmentation

By Component

  • Solution
  • Services

By Application

  • Provisioning
  • Backup
  • Security & Compliance

By End-use

  • BFSI
  • IT & Telecom
  • Healthcare & Life Sciences
  • Government
  • Retail
  • Manufacturing
  • Other End-use

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Database Automation Market, by Component
    • 1.4.2 Global Database Automation Market, by Application
    • 1.4.3 Global Database Automation Market, by End-use
    • 1.4.4 Global Database Automation Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2024
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Aug - 2025, Apr) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Database Automation Market

  • 5.1 Raw Material Sourcing
  • 5.2 Software Development
  • 5.3 Component Integration
  • 5.4 Testing and Quality Assurance
  • 5.5 Marketing and Sales
  • 5.6 Distribution and Deployment
  • 5.7 Post-Sales Support
  • 5.8 Product Innovation and Updates
  • 5.9 Feedback Loop

Chapter 6. Key Customer Criteria in the Global Database Automation Market

  • 6.1 Automation Depth and Breadth
  • 6.2 Ease of Integration
  • 6.3 Security and Compliance Features
  • 6.4 Scalability and Performance
  • 6.5 AI and Predictive Capabilities
  • 6.6 Support and Training Services
  • 6.7 Total Cost of Ownership (TCO)
  • 6.8 User Experience and Interface

Chapter 7. Global Database Automation Market by Component

  • 7.1 Global Solution Market by Region
  • 7.2 Global Services Market by Region

Chapter 8. Global Database Automation Market by Application

  • 8.1 Global Provisioning Market by Region
  • 8.2 Global Backup Market by Region
  • 8.3 Global Security & Compliance Market by Region

Chapter 9. Global Database Automation Market by End-use

  • 9.1 Global BFSI Market by Region
  • 9.2 Global IT & Telecom Market by Region
  • 9.3 Global Healthcare & Life Sciences Market by Region
  • 9.4 Global Government Market by Region
  • 9.5 Global Retail Market by Region
  • 9.6 Global Manufacturing Market by Region
  • 9.7 Global Other End-use Market by Region

Chapter 10. Global Database Automation Market by Region

  • 10.1 North America Database Automation Market
    • 10.1.1 North America Database Automation Market by Component
      • 10.1.1.1 North America Solution Market by Region
      • 10.1.1.2 North America Services Market by Region
    • 10.1.2 North America Database Automation Market by Application
      • 10.1.2.1 North America Provisioning Market by Country
      • 10.1.2.2 North America Backup Market by Country
      • 10.1.2.3 North America Security & Compliance Market by Country
    • 10.1.3 North America Database Automation Market by End-use
      • 10.1.3.1 North America BFSI Market by Country
      • 10.1.3.2 North America IT & Telecom Market by Country
      • 10.1.3.3 North America Healthcare & Life Sciences Market by Country
      • 10.1.3.4 North America Government Market by Country
      • 10.1.3.5 North America Retail Market by Country
      • 10.1.3.6 North America Manufacturing Market by Country
      • 10.1.3.7 North America Other End-use Market by Country
    • 10.1.4 North America Database Automation Market by Country
      • 10.1.4.1 US Database Automation Market
        • 10.1.4.1.1 US Database Automation Market by Component
        • 10.1.4.1.2 US Database Automation Market by Application
        • 10.1.4.1.3 US Database Automation Market by End-use
      • 10.1.4.2 Canada Database Automation Market
        • 10.1.4.2.1 Canada Database Automation Market by Component
        • 10.1.4.2.2 Canada Database Automation Market by Application
        • 10.1.4.2.3 Canada Database Automation Market by End-use
      • 10.1.4.3 Mexico Database Automation Market
        • 10.1.4.3.1 Mexico Database Automation Market by Component
        • 10.1.4.3.2 Mexico Database Automation Market by Application
        • 10.1.4.3.3 Mexico Database Automation Market by End-use
      • 10.1.4.4 Rest of North America Database Automation Market
        • 10.1.4.4.1 Rest of North America Database Automation Market by Component
        • 10.1.4.4.2 Rest of North America Database Automation Market by Application
        • 10.1.4.4.3 Rest of North America Database Automation Market by End-use
  • 10.2 Europe Database Automation Market
    • 10.2.1 Europe Database Automation Market by Component
      • 10.2.1.1 Europe Solution Market by Country
      • 10.2.1.2 Europe Services Market by Country
    • 10.2.2 Europe Database Automation Market by Application
      • 10.2.2.1 Europe Provisioning Market by Country
      • 10.2.2.2 Europe Backup Market by Country
      • 10.2.2.3 Europe Security & Compliance Market by Country
    • 10.2.3 Europe Database Automation Market by End-use
      • 10.2.3.1 Europe BFSI Market by Country
      • 10.2.3.2 Europe IT & Telecom Market by Country
      • 10.2.3.3 Europe Healthcare & Life Sciences Market by Country
      • 10.2.3.4 Europe Government Market by Country
      • 10.2.3.5 Europe Retail Market by Country
      • 10.2.3.6 Europe Manufacturing Market by Country
      • 10.2.3.7 Europe Other End-use Market by Country
    • 10.2.4 Europe Database Automation Market by Country
      • 10.2.4.1 UK Database Automation Market
        • 10.2.4.1.1 UK Database Automation Market by Component
        • 10.2.4.1.2 UK Database Automation Market by Application
        • 10.2.4.1.3 UK Database Automation Market by End-use
      • 10.2.4.2 Germany Database Automation Market
        • 10.2.4.2.1 Germany Database Automation Market by Component
        • 10.2.4.2.2 Germany Database Automation Market by Application
        • 10.2.4.2.3 Germany Database Automation Market by End-use
      • 10.2.4.3 France Database Automation Market
        • 10.2.4.3.1 France Database Automation Market by Component
        • 10.2.4.3.2 France Database Automation Market by Application
        • 10.2.4.3.3 France Database Automation Market by End-use
      • 10.2.4.4 Russia Database Automation Market
        • 10.2.4.4.1 Russia Database Automation Market by Component
        • 10.2.4.4.2 Russia Database Automation Market by Application
        • 10.2.4.4.3 Russia Database Automation Market by End-use
      • 10.2.4.5 Spain Database Automation Market
        • 10.2.4.5.1 Spain Database Automation Market by Component
        • 10.2.4.5.2 Spain Database Automation Market by Application
        • 10.2.4.5.3 Spain Database Automation Market by End-use
      • 10.2.4.6 Italy Database Automation Market
        • 10.2.4.6.1 Italy Database Automation Market by Component
        • 10.2.4.6.2 Italy Database Automation Market by Application
        • 10.2.4.6.3 Italy Database Automation Market by End-use
      • 10.2.4.7 Rest of Europe Database Automation Market
        • 10.2.4.7.1 Rest of Europe Database Automation Market by Component
        • 10.2.4.7.2 Rest of Europe Database Automation Market by Application
        • 10.2.4.7.3 Rest of Europe Database Automation Market by End-use
  • 10.3 Asia Pacific Database Automation Market
    • 10.3.1 Asia Pacific Database Automation Market by Component
      • 10.3.1.1 Asia Pacific Solution Market by Country
      • 10.3.1.2 Asia Pacific Services Market by Country
    • 10.3.2 Asia Pacific Database Automation Market by Application
      • 10.3.2.1 Asia Pacific Provisioning Market by Country
      • 10.3.2.2 Asia Pacific Backup Market by Country
      • 10.3.2.3 Asia Pacific Security & Compliance Market by Country
    • 10.3.3 Asia Pacific Database Automation Market by End-use
      • 10.3.3.1 Asia Pacific BFSI Market by Country
      • 10.3.3.2 Asia Pacific IT & Telecom Market by Country
      • 10.3.3.3 Asia Pacific Healthcare & Life Sciences Market by Country
      • 10.3.3.4 Asia Pacific Government Market by Country
      • 10.3.3.5 Asia Pacific Retail Market by Country
      • 10.3.3.6 Asia Pacific Manufacturing Market by Country
      • 10.3.3.7 Asia Pacific Other End-use Market by Country
    • 10.3.4 Asia Pacific Database Automation Market by Country
      • 10.3.4.1 China Database Automation Market
        • 10.3.4.1.1 China Database Automation Market by Component
        • 10.3.4.1.2 China Database Automation Market by Application
        • 10.3.4.1.3 China Database Automation Market by End-use
      • 10.3.4.2 Japan Database Automation Market
        • 10.3.4.2.1 Japan Database Automation Market by Component
        • 10.3.4.2.2 Japan Database Automation Market by Application
        • 10.3.4.2.3 Japan Database Automation Market by End-use
      • 10.3.4.3 India Database Automation Market
        • 10.3.4.3.1 India Database Automation Market by Component
        • 10.3.4.3.2 India Database Automation Market by Application
        • 10.3.4.3.3 India Database Automation Market by End-use
      • 10.3.4.4 South Korea Database Automation Market
        • 10.3.4.4.1 South Korea Database Automation Market by Component
        • 10.3.4.4.2 South Korea Database Automation Market by Application
        • 10.3.4.4.3 South Korea Database Automation Market by End-use
      • 10.3.4.5 Singapore Database Automation Market
        • 10.3.4.5.1 Singapore Database Automation Market by Component
        • 10.3.4.5.2 Singapore Database Automation Market by Application
        • 10.3.4.5.3 Singapore Database Automation Market by End-use
      • 10.3.4.6 Malaysia Database Automation Market
        • 10.3.4.6.1 Malaysia Database Automation Market by Component
        • 10.3.4.6.2 Malaysia Database Automation Market by Application
        • 10.3.4.6.3 Malaysia Database Automation Market by End-use
      • 10.3.4.7 Rest of Asia Pacific Database Automation Market
        • 10.3.4.7.1 Rest of Asia Pacific Database Automation Market by Component
        • 10.3.4.7.2 Rest of Asia Pacific Database Automation Market by Application
        • 10.3.4.7.3 Rest of Asia Pacific Database Automation Market by End-use
  • 10.4 LAMEA Database Automation Market
    • 10.4.1 LAMEA Database Automation Market by Component
      • 10.4.1.1 LAMEA Solution Market by Country
      • 10.4.1.2 LAMEA Services Market by Country
    • 10.4.2 LAMEA Database Automation Market by Application
      • 10.4.2.1 LAMEA Provisioning Market by Country
      • 10.4.2.2 LAMEA Backup Market by Country
      • 10.4.2.3 LAMEA Security & Compliance Market by Country
    • 10.4.3 LAMEA Database Automation Market by End-use
      • 10.4.3.1 LAMEA BFSI Market by Country
      • 10.4.3.2 LAMEA IT & Telecom Market by Country
      • 10.4.3.3 LAMEA Healthcare & Life Sciences Market by Country
      • 10.4.3.4 LAMEA Government Market by Country
      • 10.4.3.5 LAMEA Retail Market by Country
      • 10.4.3.6 LAMEA Manufacturing Market by Country
      • 10.4.3.7 LAMEA Other End-use Market by Country
    • 10.4.4 LAMEA Database Automation Market by Country
      • 10.4.4.1 Brazil Database Automation Market
        • 10.4.4.1.1 Brazil Database Automation Market by Component
        • 10.4.4.1.2 Brazil Database Automation Market by Application
        • 10.4.4.1.3 Brazil Database Automation Market by End-use
      • 10.4.4.2 Argentina Database Automation Market
        • 10.4.4.2.1 Argentina Database Automation Market by Component
        • 10.4.4.2.2 Argentina Database Automation Market by Application
        • 10.4.4.2.3 Argentina Database Automation Market by End-use
      • 10.4.4.3 UAE Database Automation Market
        • 10.4.4.3.1 UAE Database Automation Market by Component
        • 10.4.4.3.2 UAE Database Automation Market by Application
        • 10.4.4.3.3 UAE Database Automation Market by End-use
      • 10.4.4.4 Saudi Arabia Database Automation Market
        • 10.4.4.4.1 Saudi Arabia Database Automation Market by Component
        • 10.4.4.4.2 Saudi Arabia Database Automation Market by Application
        • 10.4.4.4.3 Saudi Arabia Database Automation Market by End-use
      • 10.4.4.5 South Africa Database Automation Market
        • 10.4.4.5.1 South Africa Database Automation Market by Component
        • 10.4.4.5.2 South Africa Database Automation Market by Application
        • 10.4.4.5.3 South Africa Database Automation Market by End-use
      • 10.4.4.6 Nigeria Database Automation Market
        • 10.4.4.6.1 Nigeria Database Automation Market by Component
        • 10.4.4.6.2 Nigeria Database Automation Market by Application
        • 10.4.4.6.3 Nigeria Database Automation Market by End-use
      • 10.4.4.7 Rest of LAMEA Database Automation Market
        • 10.4.4.7.1 Rest of LAMEA Database Automation Market by Component
        • 10.4.4.7.2 Rest of LAMEA Database Automation Market by Application
        • 10.4.4.7.3 Rest of LAMEA Database Automation Market by End-use

Chapter 11. Company Profiles

  • 11.1 Honeywell International, Inc.
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Segmental and Regional Analysis
    • 11.1.4 Research & Development Expenses
    • 11.1.5 Recent strategies and developments:
      • 11.1.5.1 Product Launches and Product Expansions:
    • 11.1.6 SWOT Analysis
  • 11.2 Emerson Electric Co.
    • 11.2.1 Company Overview
    • 11.2.2 Financial Analysis
    • 11.2.3 Segmental and Regional Analysis
    • 11.2.4 Research & Development Expense
    • 11.2.5 SWOT Analysis
  • 11.3 Mitsubishi Electric Corporation
    • 11.3.1 Company Overview
    • 11.3.2 Financial Analysis
    • 11.3.3 Segmental and Regional Analysis
    • 11.3.4 Research & Development Expense
    • 11.3.5 SWOT Analysis
  • 11.4 Siemens AG
    • 11.4.1 Company Overview
    • 11.4.2 Financial Analysis
    • 11.4.3 Segmental and Regional Analysis
    • 11.4.4 Research & Development Expense
    • 11.4.5 SWOT Analysis
  • 11.5 Rockwell Automation, Inc.
    • 11.5.1 Company Overview
    • 11.5.2 Financial Analysis
    • 11.5.3 Segmental and Regional Analysis
    • 11.5.4 Research & Development Expenses
    • 11.5.5 Recent strategies and developments:
      • 11.5.5.1 Partnerships, Collaborations, and Agreements:
    • 11.5.6 SWOT Analysis
  • 11.6 IBM Corporation
    • 11.6.1 Company Overview
    • 11.6.2 Financial Analysis
    • 11.6.3 Regional & Segmental Analysis
    • 11.6.4 Research & Development Expenses
    • 11.6.5 Recent strategies and developments:
      • 11.6.5.1 Partnerships, Collaborations, and Agreements:
      • 11.6.5.2 Product Launches and Product Expansions:
      • 11.6.5.3 Acquisition and Mergers:
    • 11.6.6 SWOT Analysis
  • 11.7 Oracle Corporation
    • 11.7.1 Company Overview
    • 11.7.2 Financial Analysis
    • 11.7.3 Segmental and Regional Analysis
    • 11.7.4 Research & Development Expense
    • 11.7.5 Recent strategies and developments:
      • 11.7.5.1 Partnerships, Collaborations, and Agreements:
      • 11.7.5.2 Product Launches and Product Expansions:
    • 11.7.6 SWOT Analysis
  • 11.8 Microsoft Corporation
    • 11.8.1 Company Overview
    • 11.8.2 Financial Analysis
    • 11.8.3 Segmental and Regional Analysis
    • 11.8.4 Research & Development Expenses
    • 11.8.5 Recent strategies and developments:
      • 11.8.5.1 Partnerships, Collaborations, and Agreements:
      • 11.8.5.2 Product Launches and Product Expansions:
    • 11.8.6 SWOT Analysis
  • 11.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 11.9.1 Company Overview
    • 11.9.2 Financial Analysis
    • 11.9.3 Segmental and Regional Analysis
    • 11.9.4 Recent strategies and developments:
      • 11.9.4.1 Partnerships, Collaborations, and Agreements:
      • 11.9.4.2 Product Launches and Product Expansions:
    • 11.9.5 SWOT Analysis
  • 11.10. SAP SE
    • 11.10.1 Company Overview
    • 11.10.2 Financial Analysis
    • 11.10.3 Regional Analysis
    • 11.10.4 Research & Development Expense
    • 11.10.5 Recent strategies and developments:
      • 11.10.5.1 Partnerships, Collaborations, and Agreements:
      • 11.10.5.2 Product Launches and Product Expansions:
    • 11.10.6 SWOT Analysis

Chapter 12. Winning Imperatives of Database Automation Market

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