The database automation global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Database Automation Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The database automation market size has grown rapidly in recent years. It will grow from $3.73 billion in 2023 to $4.19 billion in 2024 at a compound annual growth rate (CAGR) of 12.3%. The growth in the historic period can be attributed to rise of big data, high availability and disaster recovery, cost optimization, increased complexity.
The database automation market size is expected to see rapid growth in the next few years. It will grow to $6.59 billion in 2028 at a compound annual growth rate (CAGR) of 12%. The growth in the forecast period can be attributed to AI and machine learning integration, edge computing expansion, serverless architecture adoption, hybrid and multi-cloud adoption. Major trends in the forecast period include autonomous database management, integration with CI/CD pipelines, data ops adoption, unified data management platforms.
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Scope Of Database Automation Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Database Automation Market Overview
Market Drivers –
The rising adoption of cloud computing is expected to propel the growth of the database automation market going forward. Cloud computing refers to delivering computing services, including servers, storage, databases, networking, and software over the Internet, to offer faster innovation, flexible resources, and economies of scale. Integrating cloud computing and database automation forms a symbiotic relationship that enhances the modern data landscape. Cloud computing’s scalable infrastructure provides the foundation for seamless deployment and operation of automated database solutions. For instance, in 2023, according to a report published by AAG Solutions LLC, a US-based technology services company, cloud usage is projected to rise significantly, with 63% of organizations relying extensively on the cloud, a notable increase from 59% in 2021 to 53% in 2020. Furthermore, a substantial 98% of organizations are utilizing cloud services. Therefore, the rising adoption of cloud computing is driving the growth of the database automation market.
Market Trends –
Major companies operating in the database automation market are developing innovative products with advanced technologies, such as Amazon’s relational database service, to meet the growing demand. Amazon relational database service (Amazon RDS) is a fully managed relational database service that simplifies setting up, operating, and scaling relational databases in the cloud. For instance, in November 2023, International Business Machines Corporation, a US-based Software company, launched a new cloud database offering called Amazon relational database service (Amazon RDS) for Db2 to optimize data management for AI workloads. Integrating Amazon RDS (Relational Database Service) with database automation represents a pivotal advancement in database management. This new product automates routine administrative operations such as provisioning, backup/restore, and software patching, significantly reducing operating expenses. Amazon RDS for Db2 is designed to serve large-scale transactional and analytical workloads, making it a useful solution for various industries seeking to improve their data management skills.
The database automation market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Deployment: Cloud, On-Premises
3) By Application: Provisioning, Backup, Security and Compliance
4) By Enterprise Size: Large Enterprises, Small And Midsize Enterprises (SMEs)
5) By Vertical: Manufacturing, Healthcare, Banking, Financial Services, And Insurance (BFSI), Research And Academia, Media And Entertainment, Retail And E-Commerce, Government, Information Technology (IT) And Telecommunications, Other Verticals
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Regional Insights –
North America was the largest region in the database automation market in 2023. The regions covered in the database automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the database automation market are Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Amazon Web Services Inc., BMC Software Inc., Micro Focus International plc, Teradata, Quest Software, HelpSystem LLc, Redis Labs, IDERA Inc., Datavail Corporation, Chef Software, Puppet DB, Percona LLC, Clustrix Inc., MemSQL, HP Inc., Red Gate Software Ltd., NuoDB, Severalnines, TestingWhiz, DBmaestro, CA Technologies Inc., Datical, WhereScape
Table of Contents
1. Executive Summary
2. Database Automation Market Report Structure
3. Database Automation Market Trends And Strategies
4. Database Automation Market – Macro Economic Scenario
5. Database Automation Market Size And Growth
…..
27. Database Automation Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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