
Database Automation Market
Database Automation Market Forecasts to 2030 - Global Analysis By Component (Services, Solutions and Other Components), Deployment Mode (Cloud and On-Premises), Enterprise Size (Large Enterprises and Small and Medium-Sized Enterprises), Application, End User and By Geography

Years Covered |
2021-2030 |
Estimated Year Value (2023) |
US $1,991.8 BN |
Projected Year Value (2030) |
US $12,701.9 BN |
CAGR (2023 - 2030) |
30.0% |
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
Largest Market |
North America |
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Database Automation Market is accounted for $1,991.8 billion in 2023 and is expected to reach $12,701.9 billion by 2030 growing at a CAGR of 30.0% during the forecast period. The practice of automating database administrative activities, or database automation, enables an organization's databases to be provided, configured, patched, secured, and managed more quickly. Database configurations with high availability often result in complexity and low variation in the same items. In order to reduce complexity and redundancy, database automation makes provisioning, patching, updating, failover, recovery, scaling, and other database activities easier. Additionally, it automates tedious processes to guarantee that they are finished precisely and on schedule.
According to the State of Database Deployments in Application Delivery survey conducted by Liquibase, 57% of all application changes require a corresponding database change.
Market Dynamics:
Driver:
Growing developments in AI
The increasing advancements in AI are providing a wide range of technological applications. In a similar vein, the growing amount of complicated data is driving a trend toward the automation of AI. Additional uses and advantages of AI in database automation include the ability to avoid fraud, manage brands, provide customer care, and make decisions instantly. To increase the efficiency of automation, several sectors combine database automation with cutting-edge technology like machine learning, deep learning, artificial intelligence, and more. This will probably accelerate the expansion of the database automation market.
Restraint:
Privacy and security of data stored
The market for database automation is being constrained by concerns about the security and privacy of data kept in databases. The market's expansion will be hampered by the lack of technological know-how in database automation solutions and the increasing requirement for human interaction. Furthermore, there can be integration complications when integrating database automation solutions with legacy systems that are already in place. This can call for extra resources and knowledge.
Opportunity:
Increasing demand in various developing and developed countries
The rise in the database automation market is ascribed to the growing need for business process automation in both developed and developing nations. Growing data volumes across verticals are also contributing to the market's expansion. The market for database automation is also expected to grow as a result of the increasing need for automating repetitive database management tasks, the global expansion of cloud-based services and applications, and the widespread use of artificial intelligence in database management procedures and database automation.
Threat:
Lack of technical expertise and training combined with possibility of automation failures
Using the automation tools effectively is a need for adopting database automation, which might be difficult for some enterprises. Operations may be disrupted when automated procedures malfunction. Organizations must provide adequate oversight and backup plans. Furthermore, there may be substantial upfront expenditures associated with installing database automation technologies, which could discourage some firms from adopting them thus hampering the market growth.
Covid-19 Impact
The demand for database automation surged as a result of the COVID-19 outbreak, which caused lockdowns in several locations across the world. This put a great deal of strain on IT teams because of the increased digital demands on mission-critical applications and databases. During this period of higher demand, the vendors provided free tools and other lower-cost offers in an effort to attract more clients. Long-term market growth is anticipated to be rapid due to the expansion of data across industries.
The security & compliance segment is expected to be the largest during the forecast period
The security & compliance segment is estimated to have a lucrative growth, due to complying with data and database regulations and maintaining database security is a major concern for many enterprises. Because of the severe fines and penalties associated with noncompliance, it might mean the difference between continuing in business and declaring bankruptcy. In a similar vein, a security breach has the potential to rapidly damage a brand by causing customers to lose faith in the business and its offerings. It is crucial for development and data teams to clearly document and guarantee that they comply with database security requirements in order to prevent any problems when external auditors visit.
The IT & telecom segment is expected to have the highest CAGR during the forecast period
The IT & telecom segment is anticipated to witness the highest CAGR growth during the forecast period, because one of the industries with the fastest rates of data generation is telecom, and businesses that offer cloud services primarily focus on large-scale data integration. Database automation and telecom firms are increasingly partnering as the demand for cloud computing grows among telecom clients. Data management systems that can store terabytes of data and execute quick parallel computations are necessary for machine learning and deep learning on large, sparse data sets. These are tasks that data automation solutions are well suited for, which is why the data automation market is expanding quickly in the IT and telecommunications sectors.
Region with largest share:
North America is projected to hold the largest market share during the forecast period owing to the proliferation of data centers in corporate offices is being driven by the growing use of Big Data solutions by large IT firms to improve efficiency and optimize their business processes. For this reason, instead of using traditional data center infrastructures, many businesses mostly small and medium-sized ones are embracing containerized and micro data centers. Furthermore, when launching information technology investments, initiatives, plans, and projects, cloud services are recognized and assessed as the primary delivery option by the Government of Canada, which follows a "cloud-first" approach, are driving the market growth in this region.
Region with highest CAGR:
Europe is predicted to have the highest CAGR during the forecast period. The need for database automation is driven by the existence of well-known businesses including manufacturing, healthcare, and the automobile. The database automation market is expanding due to the rising need for digital technologies in nations like France, the UK, Germany, Spain, and others. Likewise, South America is expected to have consistent expansion as regional governments promote the adoption of technologies like artificial intelligence, smart solutions, and digital solutions.
Key players in the market
Some of the key players profiled in the Database Automation Market include BMC Software, Inc., Oracle Corporation, SAP SE, Amazon Web Services, Inc., IDERA, Inc., Quest Software Inc., IBM Corporation, CA Technologies (Broadcom Inc), Datavail, Bryter US Inc., Microsoft Corporation, HelpSystems LLC, Percona LLC, Red Gate Software Ltd, Micro Focus International plc, Clustrix and DBmaestro
Key Developments:
In November 2022, an access and control-balanced data management solution was introduced by Amazon Web Services (AWS). The new Amazon DataZone assists users in cataloging, discovering, sharing, and managing data throughout their company, including data held by AWS, locally, or from other sources.
In November 2022, Datavail, a supplier of technologically enhanced data management, application, and business intelligence solutions, has introduced new capabilities in Datavail TechBoost. By enhancing databases' availability, dependability, and performance through quick issue discovery, automation, and resolution, TechBoost enabled enterprises.
Components Covered:
• Services
• Solutions
• Other Components
Deployment Modes Covered:
• Cloud
• On-Premises
Enterprise Sizes Covered:
• Large Enterprises
• Small and Medium-Sized Enterprises
Applications Covered:
• Backup
• Provisioning
• Security & Compliance
• Other Applications
End Users Covered:
• Banking, Financial Services, and Insurance
• Government & Defense
• Healthcare
• IT & Telecom
• Manufacturing
• Media & Entertainment
• Research & Academia
• Retail & Ecommerce
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Database Automation Market, By Component
5.1 Introduction
5.2 Services
5.2.1 Managed Services
5.2.2 Professional Services
5.3 Solutions
5.3.1 Application Release Automation
5.3.2 Database Design & Configuration Automation
5.3.3 Database Patch & Release Automation
5.3.4 Database Test Automation
5.4 Other Components
6 Global Database Automation Market, By Deployment Mode
6.1 Introduction
6.2 Cloud
6.3 On-Premises
7 Global Database Automation Market, By Enterprise Size
7.1 Introduction
7.2 Large Enterprises
7.3 Small and Medium-Sized Enterprises
8 Global Database Automation Market, By Application
8.1 Introduction
8.2 Backup
8.3 Provisioning
8.4 Security & Compliance
8.5 Other Applications
9 Global Database Automation Market, By End User
9.1 Introduction
9.2 Banking, Financial Services, and Insurance
9.3 Government & Defense
9.4 Healthcare
9.5 IT & Telecom
9.6 Manufacturing
9.7 Media & Entertainment
9.8 Research & Academia
9.9 Retail & Ecommerce
9.10 Other End Users
10 Global Database Automation Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 BMC Software, Inc.
12.2 Oracle Corporation
12.3 SAP SE
12.4 Amazon Web Services, Inc.
12.5 IDERA, Inc.
12.6 Quest Software Inc.
12.7 IBM Corporation
12.8 CA Technologies (Broadcom Inc)
12.9 Datavail
12.10 Bryter US Inc.
12.11 Microsoft Corporation
12.12 HelpSystems LLC
12.12 Percona LLC
12.14 Red Gate Software Ltd
12.15 Micro Focus International plc
12.16 Clustrix
12.17 DBmaestro
List of Tables
1 Global Database Automation Market Outlook, By Region (2021-2030) ($MN)
2 Global Database Automation Market Outlook, By Component (2021-2030) ($MN)
3 Global Database Automation Market Outlook, By Services (2021-2030) ($MN)
4 Global Database Automation Market Outlook, By Managed Services (2021-2030) ($MN)
5 Global Database Automation Market Outlook, By Professional Services (2021-2030) ($MN)
6 Global Database Automation Market Outlook, By Solutions (2021-2030) ($MN)
7 Global Database Automation Market Outlook, By Application Release Automation (2021-2030) ($MN)
8 Global Database Automation Market Outlook, By Database Design & Configuration Automation (2021-2030) ($MN)
9 Global Database Automation Market Outlook, By Database Patch & Release Automation (2021-2030) ($MN)
10 Global Database Automation Market Outlook, By Database Test Automation (2021-2030) ($MN)
11 Global Database Automation Market Outlook, By Other Components (2021-2030) ($MN)
12 Global Database Automation Market Outlook, By Deployment Mode (2021-2030) ($MN)
13 Global Database Automation Market Outlook, By Cloud (2021-2030) ($MN)
14 Global Database Automation Market Outlook, By On-Premises (2021-2030) ($MN)
15 Global Database Automation Market Outlook, By Enterprise Size (2021-2030) ($MN)
16 Global Database Automation Market Outlook, By Large Enterprises (2021-2030) ($MN)
17 Global Database Automation Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
18 Global Database Automation Market Outlook, By Application (2021-2030) ($MN)
19 Global Database Automation Market Outlook, By Backup (2021-2030) ($MN)
20 Global Database Automation Market Outlook, By Provisioning (2021-2030) ($MN)
21 Global Database Automation Market Outlook, By Security & Compliance (2021-2030) ($MN)
22 Global Database Automation Market Outlook, By Other Applications (2021-2030) ($MN)
23 Global Database Automation Market Outlook, By End User (2021-2030) ($MN)
24 Global Database Automation Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
25 Global Database Automation Market Outlook, By Government & Defense (2021-2030) ($MN)
26 Global Database Automation Market Outlook, By Healthcare (2021-2030) ($MN)
27 Global Database Automation Market Outlook, By IT & Telecom (2021-2030) ($MN)
28 Global Database Automation Market Outlook, By Manufacturing (2021-2030) ($MN)
29 Global Database Automation Market Outlook, By Media & Entertainment (2021-2030) ($MN)
30 Global Database Automation Market Outlook, By Research & Academia (2021-2030) ($MN)
31 Global Database Automation Market Outlook, By Retail & Ecommerce (2021-2030) ($MN)
32 Global Database Automation Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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