Global Database Automation research

Database Automation Comprehensive Study by Application (Provisioning, Backup, Security and Compliance), Deployment Mode (Cloud, On-Premises), Industry Verticals (Manufacturing, Healthcare, Banking, Financial Services, And Insurance, Research and Academia, Media and Entertainment, Retail and Ecommerce, Government and Defence, IT and Telecom, Others), Organizations Size (Small and Medium Size Organizations, Large Size Organizations), Offerings (Solutions, Services) Players and Region - Global Market Outlook to 2028

Database Automation Market by XX Submarkets | Forecast Years 2023-2028  

Access Sample Report Make An Enquiry Before Purchase
  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Database Automation is a database store critical business information and becomes very essential for the efficient operation of modern enterprises. Database automation is often exploited with the time-consuming manual tasks of managing and maintaining databases. With the growing demands of recent workloads that lead to high errors. This can become a reason database to produce many terabytes in size and become highly complex, making them even more difficult for DBAs to manage, secure, and tune for maximum performance.This growth is primarily driven by Continuously Growing Capacities of Data Across Verticals .

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Business Services sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Oracle (United States), Microsoft (United States), CA Technologies (United States), BMC Software (United States), Micro Focus (United Kingdom), IBM (United States), AWS (United States), SAP (Germany), Datavail (United States) and Percona (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
On October 3, 2023, Amazon Web Services (AWS) launches Amazon Aurora PostgreSQL-Compatible Edition, a new database service that is compatible with PostgreSQL.
On September 20, 2023, Snowflake partners with Salesforce to offer Snowflake's data warehouse on Salesforce's cloud platform. The partnership will allow customers to use Snowflake's data warehouse with Salesforce's CRM software.The companies operating in this industry are focusing more on efficient growth, improvement of operational efficiency and productivity, achieving high safety standards, and focus on maintaining sustainable development. The players are focusing on securing the leading position in this industry. They are continuously looking for the opportunity to reinforce their competitive advantage. To meet a high market share, and developing a socially responsible business company is identifying various strategic pillars such as mergers & acquisitions, new product launch, product enhancement, and others.

Influencing Trend:
High Adoption of the Cloud-Based Database Automation System and Increase Number New Market Entrants in this Industry

Market Growth Drivers:
Continuously Growing Capacities of Data Across Verticals and Increasing Demand for Automating Repetitive Database Management Processes

Challenges:
The Need for Human Involvement and Insufficient Skills

Restraints:
Rising Concern Towards Privacy and Security of the Stored Data

Opportunities:
Production of Cloud-Based Applications and Services and The Rising Partnerships and Acquisitions

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Database Automation Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Database Automation Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Database Automation players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Database Automation Study Sheds Light on
— The Database Automation Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Database Automation industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Database Automation industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Application
  • Provisioning
  • Backup
  • Security and Compliance
By Deployment Mode
  • Cloud
  • On-Premises

By Industry Verticals
  • Manufacturing
  • Healthcare
  • Banking, Financial Services, And Insurance
  • Research and Academia
  • Media and Entertainment
  • Retail and Ecommerce
  • Government and Defence
  • IT and Telecom
  • Others

By Organizations Size
  • Small and Medium Size Organizations
  • Large Size Organizations

By Offerings
  • Solutions
  • Services

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Continuously Growing Capacities of Data Across Verticals
      • 3.2.2. Increasing Demand for Automating Repetitive Database Management Processes
    • 3.3. Market Challenges
      • 3.3.1. The Need for Human Involvement
      • 3.3.2. Insufficient Skills
    • 3.4. Market Trends
      • 3.4.1. High Adoption of the Cloud-Based Database Automation System
      • 3.4.2. Increase Number New Market Entrants in this Industry
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Database Automation, by Application, Deployment Mode, Industry Verticals, Organizations Size, Offerings and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Database Automation (Value)
      • 5.2.1. Global Database Automation by: Application (Value)
        • 5.2.1.1. Provisioning
        • 5.2.1.2. Backup
        • 5.2.1.3. Security and Compliance
      • 5.2.2. Global Database Automation by: Deployment Mode (Value)
        • 5.2.2.1. Cloud
        • 5.2.2.2. On-Premises
      • 5.2.3. Global Database Automation by: Industry Verticals (Value)
        • 5.2.3.1. Manufacturing
        • 5.2.3.2. Healthcare
        • 5.2.3.3. Banking, Financial Services, And Insurance
        • 5.2.3.4. Research and Academia
        • 5.2.3.5. Media and Entertainment
        • 5.2.3.6. Retail and Ecommerce
        • 5.2.3.7. Government and Defence
        • 5.2.3.8. IT and Telecom
        • 5.2.3.9. Others
      • 5.2.4. Global Database Automation by: Organizations Size (Value)
        • 5.2.4.1. Small and Medium Size Organizations
        • 5.2.4.2. Large Size Organizations
      • 5.2.5. Global Database Automation by: Offerings (Value)
        • 5.2.5.1. Solutions
        • 5.2.5.2. Services
      • 5.2.6. Global Database Automation Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
    • 5.3. Global Database Automation (Price)
  • 6. Database Automation: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Oracle (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. CA Technologies (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. BMC Software (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Micro Focus (United Kingdom)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. IBM (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. AWS (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. SAP (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Datavail (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Percona (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Database Automation Sale, by Application, Deployment Mode, Industry Verticals, Organizations Size, Offerings and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Database Automation (Value)
      • 7.2.1. Global Database Automation by: Application (Value)
        • 7.2.1.1. Provisioning
        • 7.2.1.2. Backup
        • 7.2.1.3. Security and Compliance
      • 7.2.2. Global Database Automation by: Deployment Mode (Value)
        • 7.2.2.1. Cloud
        • 7.2.2.2. On-Premises
      • 7.2.3. Global Database Automation by: Industry Verticals (Value)
        • 7.2.3.1. Manufacturing
        • 7.2.3.2. Healthcare
        • 7.2.3.3. Banking, Financial Services, And Insurance
        • 7.2.3.4. Research and Academia
        • 7.2.3.5. Media and Entertainment
        • 7.2.3.6. Retail and Ecommerce
        • 7.2.3.7. Government and Defence
        • 7.2.3.8. IT and Telecom
        • 7.2.3.9. Others
      • 7.2.4. Global Database Automation by: Organizations Size (Value)
        • 7.2.4.1. Small and Medium Size Organizations
        • 7.2.4.2. Large Size Organizations
      • 7.2.5. Global Database Automation by: Offerings (Value)
        • 7.2.5.1. Solutions
        • 7.2.5.2. Services
      • 7.2.6. Global Database Automation Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
    • 7.3. Global Database Automation (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Database Automation: by Application(USD Million)
  • Table 2. Database Automation Provisioning , by Region USD Million (2017-2022)
  • Table 3. Database Automation Backup , by Region USD Million (2017-2022)
  • Table 4. Database Automation Security and Compliance , by Region USD Million (2017-2022)
  • Table 5. Database Automation: by Deployment Mode(USD Million)
  • Table 6. Database Automation Cloud , by Region USD Million (2017-2022)
  • Table 7. Database Automation On-Premises , by Region USD Million (2017-2022)
  • Table 8. Database Automation: by Industry Verticals(USD Million)
  • Table 9. Database Automation Manufacturing , by Region USD Million (2017-2022)
  • Table 10. Database Automation Healthcare , by Region USD Million (2017-2022)
  • Table 11. Database Automation Banking, Financial Services, And Insurance , by Region USD Million (2017-2022)
  • Table 12. Database Automation Research and Academia , by Region USD Million (2017-2022)
  • Table 13. Database Automation Media and Entertainment , by Region USD Million (2017-2022)
  • Table 14. Database Automation Retail and Ecommerce , by Region USD Million (2017-2022)
  • Table 15. Database Automation Government and Defence , by Region USD Million (2017-2022)
  • Table 16. Database Automation IT and Telecom , by Region USD Million (2017-2022)
  • Table 17. Database Automation Others , by Region USD Million (2017-2022)
  • Table 18. Database Automation: by Organizations Size(USD Million)
  • Table 19. Database Automation Small and Medium Size Organizations , by Region USD Million (2017-2022)
  • Table 20. Database Automation Large Size Organizations , by Region USD Million (2017-2022)
  • Table 21. Database Automation: by Offerings(USD Million)
  • Table 22. Database Automation Solutions , by Region USD Million (2017-2022)
  • Table 23. Database Automation Services , by Region USD Million (2017-2022)
  • Table 24. South America Database Automation, by Country USD Million (2017-2022)
  • Table 25. South America Database Automation, by Application USD Million (2017-2022)
  • Table 26. South America Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 27. South America Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 28. South America Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 29. South America Database Automation, by Offerings USD Million (2017-2022)
  • Table 30. Brazil Database Automation, by Application USD Million (2017-2022)
  • Table 31. Brazil Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 32. Brazil Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 33. Brazil Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 34. Brazil Database Automation, by Offerings USD Million (2017-2022)
  • Table 35. Argentina Database Automation, by Application USD Million (2017-2022)
  • Table 36. Argentina Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 37. Argentina Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 38. Argentina Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 39. Argentina Database Automation, by Offerings USD Million (2017-2022)
  • Table 40. Rest of South America Database Automation, by Application USD Million (2017-2022)
  • Table 41. Rest of South America Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 42. Rest of South America Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 43. Rest of South America Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 44. Rest of South America Database Automation, by Offerings USD Million (2017-2022)
  • Table 45. Asia Pacific Database Automation, by Country USD Million (2017-2022)
  • Table 46. Asia Pacific Database Automation, by Application USD Million (2017-2022)
  • Table 47. Asia Pacific Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 48. Asia Pacific Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 49. Asia Pacific Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 50. Asia Pacific Database Automation, by Offerings USD Million (2017-2022)
  • Table 51. China Database Automation, by Application USD Million (2017-2022)
  • Table 52. China Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 53. China Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 54. China Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 55. China Database Automation, by Offerings USD Million (2017-2022)
  • Table 56. Japan Database Automation, by Application USD Million (2017-2022)
  • Table 57. Japan Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 58. Japan Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 59. Japan Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 60. Japan Database Automation, by Offerings USD Million (2017-2022)
  • Table 61. India Database Automation, by Application USD Million (2017-2022)
  • Table 62. India Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 63. India Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 64. India Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 65. India Database Automation, by Offerings USD Million (2017-2022)
  • Table 66. South Korea Database Automation, by Application USD Million (2017-2022)
  • Table 67. South Korea Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 68. South Korea Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 69. South Korea Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 70. South Korea Database Automation, by Offerings USD Million (2017-2022)
  • Table 71. Taiwan Database Automation, by Application USD Million (2017-2022)
  • Table 72. Taiwan Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 73. Taiwan Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 74. Taiwan Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 75. Taiwan Database Automation, by Offerings USD Million (2017-2022)
  • Table 76. Australia Database Automation, by Application USD Million (2017-2022)
  • Table 77. Australia Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 78. Australia Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 79. Australia Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 80. Australia Database Automation, by Offerings USD Million (2017-2022)
  • Table 81. Rest of Asia-Pacific Database Automation, by Application USD Million (2017-2022)
  • Table 82. Rest of Asia-Pacific Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 83. Rest of Asia-Pacific Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 84. Rest of Asia-Pacific Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 85. Rest of Asia-Pacific Database Automation, by Offerings USD Million (2017-2022)
  • Table 86. Europe Database Automation, by Country USD Million (2017-2022)
  • Table 87. Europe Database Automation, by Application USD Million (2017-2022)
  • Table 88. Europe Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 89. Europe Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 90. Europe Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 91. Europe Database Automation, by Offerings USD Million (2017-2022)
  • Table 92. Germany Database Automation, by Application USD Million (2017-2022)
  • Table 93. Germany Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 94. Germany Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 95. Germany Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 96. Germany Database Automation, by Offerings USD Million (2017-2022)
  • Table 97. France Database Automation, by Application USD Million (2017-2022)
  • Table 98. France Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 99. France Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 100. France Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 101. France Database Automation, by Offerings USD Million (2017-2022)
  • Table 102. Italy Database Automation, by Application USD Million (2017-2022)
  • Table 103. Italy Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 104. Italy Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 105. Italy Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 106. Italy Database Automation, by Offerings USD Million (2017-2022)
  • Table 107. United Kingdom Database Automation, by Application USD Million (2017-2022)
  • Table 108. United Kingdom Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 109. United Kingdom Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 110. United Kingdom Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 111. United Kingdom Database Automation, by Offerings USD Million (2017-2022)
  • Table 112. Netherlands Database Automation, by Application USD Million (2017-2022)
  • Table 113. Netherlands Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 114. Netherlands Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 115. Netherlands Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 116. Netherlands Database Automation, by Offerings USD Million (2017-2022)
  • Table 117. Rest of Europe Database Automation, by Application USD Million (2017-2022)
  • Table 118. Rest of Europe Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 119. Rest of Europe Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 120. Rest of Europe Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 121. Rest of Europe Database Automation, by Offerings USD Million (2017-2022)
  • Table 122. MEA Database Automation, by Country USD Million (2017-2022)
  • Table 123. MEA Database Automation, by Application USD Million (2017-2022)
  • Table 124. MEA Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 125. MEA Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 126. MEA Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 127. MEA Database Automation, by Offerings USD Million (2017-2022)
  • Table 128. Middle East Database Automation, by Application USD Million (2017-2022)
  • Table 129. Middle East Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 130. Middle East Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 131. Middle East Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 132. Middle East Database Automation, by Offerings USD Million (2017-2022)
  • Table 133. Africa Database Automation, by Application USD Million (2017-2022)
  • Table 134. Africa Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 135. Africa Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 136. Africa Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 137. Africa Database Automation, by Offerings USD Million (2017-2022)
  • Table 138. North America Database Automation, by Country USD Million (2017-2022)
  • Table 139. North America Database Automation, by Application USD Million (2017-2022)
  • Table 140. North America Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 141. North America Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 142. North America Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 143. North America Database Automation, by Offerings USD Million (2017-2022)
  • Table 144. United States Database Automation, by Application USD Million (2017-2022)
  • Table 145. United States Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 146. United States Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 147. United States Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 148. United States Database Automation, by Offerings USD Million (2017-2022)
  • Table 149. Canada Database Automation, by Application USD Million (2017-2022)
  • Table 150. Canada Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 151. Canada Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 152. Canada Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 153. Canada Database Automation, by Offerings USD Million (2017-2022)
  • Table 154. Mexico Database Automation, by Application USD Million (2017-2022)
  • Table 155. Mexico Database Automation, by Deployment Mode USD Million (2017-2022)
  • Table 156. Mexico Database Automation, by Industry Verticals USD Million (2017-2022)
  • Table 157. Mexico Database Automation, by Organizations Size USD Million (2017-2022)
  • Table 158. Mexico Database Automation, by Offerings USD Million (2017-2022)
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Database Automation: by Application(USD Million)
  • Table 170. Database Automation Provisioning , by Region USD Million (2023-2028)
  • Table 171. Database Automation Backup , by Region USD Million (2023-2028)
  • Table 172. Database Automation Security and Compliance , by Region USD Million (2023-2028)
  • Table 173. Database Automation: by Deployment Mode(USD Million)
  • Table 174. Database Automation Cloud , by Region USD Million (2023-2028)
  • Table 175. Database Automation On-Premises , by Region USD Million (2023-2028)
  • Table 176. Database Automation: by Industry Verticals(USD Million)
  • Table 177. Database Automation Manufacturing , by Region USD Million (2023-2028)
  • Table 178. Database Automation Healthcare , by Region USD Million (2023-2028)
  • Table 179. Database Automation Banking, Financial Services, And Insurance , by Region USD Million (2023-2028)
  • Table 180. Database Automation Research and Academia , by Region USD Million (2023-2028)
  • Table 181. Database Automation Media and Entertainment , by Region USD Million (2023-2028)
  • Table 182. Database Automation Retail and Ecommerce , by Region USD Million (2023-2028)
  • Table 183. Database Automation Government and Defence , by Region USD Million (2023-2028)
  • Table 184. Database Automation IT and Telecom , by Region USD Million (2023-2028)
  • Table 185. Database Automation Others , by Region USD Million (2023-2028)
  • Table 186. Database Automation: by Organizations Size(USD Million)
  • Table 187. Database Automation Small and Medium Size Organizations , by Region USD Million (2023-2028)
  • Table 188. Database Automation Large Size Organizations , by Region USD Million (2023-2028)
  • Table 189. Database Automation: by Offerings(USD Million)
  • Table 190. Database Automation Solutions , by Region USD Million (2023-2028)
  • Table 191. Database Automation Services , by Region USD Million (2023-2028)
  • Table 192. South America Database Automation, by Country USD Million (2023-2028)
  • Table 193. South America Database Automation, by Application USD Million (2023-2028)
  • Table 194. South America Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 195. South America Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 196. South America Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 197. South America Database Automation, by Offerings USD Million (2023-2028)
  • Table 198. Brazil Database Automation, by Application USD Million (2023-2028)
  • Table 199. Brazil Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 200. Brazil Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 201. Brazil Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 202. Brazil Database Automation, by Offerings USD Million (2023-2028)
  • Table 203. Argentina Database Automation, by Application USD Million (2023-2028)
  • Table 204. Argentina Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 205. Argentina Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 206. Argentina Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 207. Argentina Database Automation, by Offerings USD Million (2023-2028)
  • Table 208. Rest of South America Database Automation, by Application USD Million (2023-2028)
  • Table 209. Rest of South America Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 210. Rest of South America Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 211. Rest of South America Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 212. Rest of South America Database Automation, by Offerings USD Million (2023-2028)
  • Table 213. Asia Pacific Database Automation, by Country USD Million (2023-2028)
  • Table 214. Asia Pacific Database Automation, by Application USD Million (2023-2028)
  • Table 215. Asia Pacific Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 216. Asia Pacific Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 217. Asia Pacific Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 218. Asia Pacific Database Automation, by Offerings USD Million (2023-2028)
  • Table 219. China Database Automation, by Application USD Million (2023-2028)
  • Table 220. China Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 221. China Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 222. China Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 223. China Database Automation, by Offerings USD Million (2023-2028)
  • Table 224. Japan Database Automation, by Application USD Million (2023-2028)
  • Table 225. Japan Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 226. Japan Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 227. Japan Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 228. Japan Database Automation, by Offerings USD Million (2023-2028)
  • Table 229. India Database Automation, by Application USD Million (2023-2028)
  • Table 230. India Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 231. India Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 232. India Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 233. India Database Automation, by Offerings USD Million (2023-2028)
  • Table 234. South Korea Database Automation, by Application USD Million (2023-2028)
  • Table 235. South Korea Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 236. South Korea Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 237. South Korea Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 238. South Korea Database Automation, by Offerings USD Million (2023-2028)
  • Table 239. Taiwan Database Automation, by Application USD Million (2023-2028)
  • Table 240. Taiwan Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 241. Taiwan Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 242. Taiwan Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 243. Taiwan Database Automation, by Offerings USD Million (2023-2028)
  • Table 244. Australia Database Automation, by Application USD Million (2023-2028)
  • Table 245. Australia Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 246. Australia Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 247. Australia Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 248. Australia Database Automation, by Offerings USD Million (2023-2028)
  • Table 249. Rest of Asia-Pacific Database Automation, by Application USD Million (2023-2028)
  • Table 250. Rest of Asia-Pacific Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 251. Rest of Asia-Pacific Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 252. Rest of Asia-Pacific Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 253. Rest of Asia-Pacific Database Automation, by Offerings USD Million (2023-2028)
  • Table 254. Europe Database Automation, by Country USD Million (2023-2028)
  • Table 255. Europe Database Automation, by Application USD Million (2023-2028)
  • Table 256. Europe Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 257. Europe Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 258. Europe Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 259. Europe Database Automation, by Offerings USD Million (2023-2028)
  • Table 260. Germany Database Automation, by Application USD Million (2023-2028)
  • Table 261. Germany Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 262. Germany Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 263. Germany Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 264. Germany Database Automation, by Offerings USD Million (2023-2028)
  • Table 265. France Database Automation, by Application USD Million (2023-2028)
  • Table 266. France Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 267. France Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 268. France Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 269. France Database Automation, by Offerings USD Million (2023-2028)
  • Table 270. Italy Database Automation, by Application USD Million (2023-2028)
  • Table 271. Italy Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 272. Italy Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 273. Italy Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 274. Italy Database Automation, by Offerings USD Million (2023-2028)
  • Table 275. United Kingdom Database Automation, by Application USD Million (2023-2028)
  • Table 276. United Kingdom Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 277. United Kingdom Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 278. United Kingdom Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 279. United Kingdom Database Automation, by Offerings USD Million (2023-2028)
  • Table 280. Netherlands Database Automation, by Application USD Million (2023-2028)
  • Table 281. Netherlands Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 282. Netherlands Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 283. Netherlands Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 284. Netherlands Database Automation, by Offerings USD Million (2023-2028)
  • Table 285. Rest of Europe Database Automation, by Application USD Million (2023-2028)
  • Table 286. Rest of Europe Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 287. Rest of Europe Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 288. Rest of Europe Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 289. Rest of Europe Database Automation, by Offerings USD Million (2023-2028)
  • Table 290. MEA Database Automation, by Country USD Million (2023-2028)
  • Table 291. MEA Database Automation, by Application USD Million (2023-2028)
  • Table 292. MEA Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 293. MEA Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 294. MEA Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 295. MEA Database Automation, by Offerings USD Million (2023-2028)
  • Table 296. Middle East Database Automation, by Application USD Million (2023-2028)
  • Table 297. Middle East Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 298. Middle East Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 299. Middle East Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 300. Middle East Database Automation, by Offerings USD Million (2023-2028)
  • Table 301. Africa Database Automation, by Application USD Million (2023-2028)
  • Table 302. Africa Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 303. Africa Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 304. Africa Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 305. Africa Database Automation, by Offerings USD Million (2023-2028)
  • Table 306. North America Database Automation, by Country USD Million (2023-2028)
  • Table 307. North America Database Automation, by Application USD Million (2023-2028)
  • Table 308. North America Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 309. North America Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 310. North America Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 311. North America Database Automation, by Offerings USD Million (2023-2028)
  • Table 312. United States Database Automation, by Application USD Million (2023-2028)
  • Table 313. United States Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 314. United States Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 315. United States Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 316. United States Database Automation, by Offerings USD Million (2023-2028)
  • Table 317. Canada Database Automation, by Application USD Million (2023-2028)
  • Table 318. Canada Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 319. Canada Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 320. Canada Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 321. Canada Database Automation, by Offerings USD Million (2023-2028)
  • Table 322. Mexico Database Automation, by Application USD Million (2023-2028)
  • Table 323. Mexico Database Automation, by Deployment Mode USD Million (2023-2028)
  • Table 324. Mexico Database Automation, by Industry Verticals USD Million (2023-2028)
  • Table 325. Mexico Database Automation, by Organizations Size USD Million (2023-2028)
  • Table 326. Mexico Database Automation, by Offerings USD Million (2023-2028)
  • Table 327. Research Programs/Design for This Report
  • Table 328. Key Data Information from Secondary Sources
  • Table 329. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Database Automation: by Application USD Million (2017-2022)
  • Figure 5. Global Database Automation: by Deployment Mode USD Million (2017-2022)
  • Figure 6. Global Database Automation: by Industry Verticals USD Million (2017-2022)
  • Figure 7. Global Database Automation: by Organizations Size USD Million (2017-2022)
  • Figure 8. Global Database Automation: by Offerings USD Million (2017-2022)
  • Figure 9. South America Database Automation Share (%), by Country
  • Figure 10. Asia Pacific Database Automation Share (%), by Country
  • Figure 11. Europe Database Automation Share (%), by Country
  • Figure 12. MEA Database Automation Share (%), by Country
  • Figure 13. North America Database Automation Share (%), by Country
  • Figure 14. Global Database Automation share by Players 2022 (%)
  • Figure 15. Global Database Automation share by Players (Top 3) 2022(%)
  • Figure 16. Global Database Automation share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 19. Oracle (United States) Revenue: by Geography 2022
  • Figure 20. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 21. Microsoft (United States) Revenue: by Geography 2022
  • Figure 22. CA Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 23. CA Technologies (United States) Revenue: by Geography 2022
  • Figure 24. BMC Software (United States) Revenue, Net Income and Gross profit
  • Figure 25. BMC Software (United States) Revenue: by Geography 2022
  • Figure 26. Micro Focus (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 27. Micro Focus (United Kingdom) Revenue: by Geography 2022
  • Figure 28. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 29. IBM (United States) Revenue: by Geography 2022
  • Figure 30. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 31. AWS (United States) Revenue: by Geography 2022
  • Figure 32. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 33. SAP (Germany) Revenue: by Geography 2022
  • Figure 34. Datavail (United States) Revenue, Net Income and Gross profit
  • Figure 35. Datavail (United States) Revenue: by Geography 2022
  • Figure 36. Percona (United States) Revenue, Net Income and Gross profit
  • Figure 37. Percona (United States) Revenue: by Geography 2022
  • Figure 38. Global Database Automation: by Application USD Million (2023-2028)
  • Figure 39. Global Database Automation: by Deployment Mode USD Million (2023-2028)
  • Figure 40. Global Database Automation: by Industry Verticals USD Million (2023-2028)
  • Figure 41. Global Database Automation: by Organizations Size USD Million (2023-2028)
  • Figure 42. Global Database Automation: by Offerings USD Million (2023-2028)
  • Figure 43. South America Database Automation Share (%), by Country
  • Figure 44. Asia Pacific Database Automation Share (%), by Country
  • Figure 45. Europe Database Automation Share (%), by Country
  • Figure 46. MEA Database Automation Share (%), by Country
  • Figure 47. North America Database Automation Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Oracle (United States)
  • Microsoft (United States)
  • CA Technologies (United States)
  • BMC Software (United States)
  • Micro Focus (United Kingdom)
  • IBM (United States)
  • AWS (United States)
  • SAP (Germany)
  • Datavail (United States)
  • Percona (United States)
Additional players considered in the study are as follows:
Dbmaestro (United States) , Helpsystems (United States) , Datical (United States)
Select User Access Type

Key Highlights of Report


Dec 2023 202 Pages 51 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

Request Sample Pages

Budget constraints? Get in touch with us for special pricing


Check Discount Now
Global Database Automation research Quantitative research analysis
Global Database Automation research Qualitative Industry Analysis
DOWNLOAD SAMPLE PDF

Talk to Our Experts

Want to Customize Study?


"We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

Make an Enquiry Now

Frequently Asked Questions (FAQ):

Historical year: 2018-2022; Base year: 2022; Forecast period: 2023 to 2028
Companies that are profiled in Global Database Automation Market are Oracle (United States), Microsoft (United States), CA Technologies (United States), BMC Software (United States), Micro Focus (United Kingdom), IBM (United States), AWS (United States), SAP (Germany), Datavail (United States) and Percona (United States) etc.
Provisioning segment in Global market to hold robust market share owing to "Continuously Growing Capacities of Data Across Verticals ".
AMA Research predicts that United States Players will contribute to the maximum growth of Global Database Automation market throughout the forecasted period.

Know More About Global Database Automation research Report?

Have a Query? Click Here

Other Related Reports

Social Business Application Comprehensive Study by Application (SMEs, Large Enterprises, Government Organizations), Deployment Mode (On-premises, Cloud), Category (Enterprise Collaboration and Commun...
$ 3450
Medical Billing Outsourcing Comprehensive Study by Type (In-House, Outsourced), Application (Hospitals, Physician Offices, Others), Services (Front End, Middle End, Back End) Players and Region - Glo...
$ 3500
Automation-as-a-Service Comprehensive Study by Type (Rule-based Automation, Knowledge-based Automation), Application (Information Technology (IT), Sales and Marketing, Operations, Finance, Human Reso...
$ 3750
Vessel Traffic Management System Comprehensive Study by End Use (Commercial, Defense), Offering (Brownfield, Greenfield), System (Port Management Information Systems, Global Maritime Distress Safety...
$ 3450
Optical Network Management Comprehensive Study by Type (Synchronous Optical Network (SONET), Width Division Multiplexing (WDM)), Technology (DWDM, CWDM, Others), End Use (IT and Telecommunications, T...
$ 3750
LBS Platform Comprehensive Study by Type (Indoor LBS Platform, Outdoor LBS Platform), Application (Location-based Advertising, Business Intelligence & Analytics, Social Networking & Entertainment, Ma...
$ 3750