The global database automation market is poised for significant growth, with projections indicating an increase from $2,376.3 million in 2024 to $8,854.1 million by 2030, reflecting a robust compound annual growth rate (CAGR) of 24.9% during the forecast period.
This expansion is primarily driven by the escalating volume of data across industries and the pressing need for enhanced system performance. The widespread accessibility of the internet has led to a surge in data-intensive applications, including the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), supercomputing, neural networks, autonomous driving, connected healthcare, and smart homes.
Database automation minimizes errors inherent in manual database management, ensuring greater accuracy and data consistency. By automating database-related tasks, it streamlines DevOps and continuous integration/continuous deployment (CI/CD) processes, facilitating more efficient and rapid development and deployment. This automation allows human resources to focus on critical tasks such as decision-making and strategizing, thereby enhancing productivity and reducing time and expenses.
Key Insights
The increasing adoption of AI, deep learning (DL), and ML technologies necessitates data storage systems capable of efficiently handling large volumes of data and performing rapid operations. Database automation technologies enhance data storage and accelerate data retrieval, making them essential for AI and ML applications that require real-time or near-real-time data processing to deliver quick and accurate insights.
The backup and recovery process type is expected to hold the largest market share, accounting for 35% in 2024. This is attributed to the exponential growth of data within companies, creating a strong demand for backup and recovery systems to ensure data safety and accessibility. Additionally, the security management segment is anticipated to experience the fastest growth, with a projected CAGR of 25.5% during 2025-2030, driven by increasing concerns over data security and the need to protect against cyber threats.
On-premises deployment is expected to dominate the market, offering high data security and complete control over organizational data. This deployment mode is projected to advance at the highest CAGR during 2025-2030, as organizations prioritize data protection and compliance with regulatory standards.
Large enterprises are anticipated to hold a significant market share, accounting for 60% in 2024, and are expected to be the fastest-growing segment with a projected CAGR of 25.2% during 2025-2030. This growth is due to the massive amounts of data generated by large organizations, necessitating efficient storage and security solutions to manage and protect critical business information.
The Asia-Pacific region is expected to witness the fastest growth in the database automation market during the forecast period. Technological advancements in developing countries, increasing internet penetration, and the rising adoption of data-intensive applications are key factors contributing to this regional market expansion.
Table of Contents
Chapter 1. Research Scope
1.1. Research Objectives
1.2. Market Definition
1.3. Analysis Period
1.4. Market Size Breakdown by Segments
1.4.1. Market size breakdown, by process type
1.4.2. Market size breakdown, by deployment mode
1.4.3. Market size breakdown, by enterprise size
1.4.4. Market size breakdown, by end user
1.4.5. Market size breakdown, by region
1.4.6. Market size breakdown, by country
1.5. Market Data Reporting Unit
1.5.1. Value
1.6. Key Stakeholders
Chapter 2. Research Methodology
2.1. Secondary Research
2.1.1. Paid
2.1.2. Unpaid
2.1.3. P&S Intelligence database
2.2. Primary Research
2.3. Market Size Estimation
2.4. Data Triangulation
2.5. Currency Conversion Rates
2.6. Assumptions for the Study
2.7. Notes and Caveats
Chapter 3. Executive Summary
Chapter 4. Market Indicators
Chapter 5. Industry Outlook
5.1. Market Dynamics
5.1.1. Trends
5.1.2. Drivers
5.1.3. Restraints/challenges
5.1.4. Impact analysis of drivers/restraints
5.2. Impact of COVID-19
5.3. Porter's Five Forces Analysis
5.3.1. Bargaining power of buyers
5.3.2. Bargaining power of suppliers
5.3.3. Threat of new entrants
5.3.4. Intensity of rivalry
5.3.5. Threat of substitutes
Chapter 6. Global Market
6.1. Overview
6.2. Market Revenue, by Process Type (2019-2030)
6.3. Market Revenue, by Deployment Mode (2019-2030)
6.4. Market Revenue, by Enterprise Size (2019-2030)
6.5. Market Revenue, by End User (2019-2030)
6.6. Market Revenue, by Region (2019-2030)
Chapter 7. North America Market
7.1. Overview
7.2. Market Revenue, by Process Type (2019-2030)
7.3. Market Revenue, by Deployment Mode (2019-2030)
7.4. Market Revenue, by Enterprise Size (2019-2030)
7.5. Market Revenue, by End User (2019-2030)
7.6. Market Revenue, by Country (2019-2030)
Chapter 8. Europe Market
8.1. Overview
8.2. Market Revenue, by Process Type (2019-2030)
8.3. Market Revenue, by Deployment Mode (2019-2030)
8.4. Market Revenue, by Enterprise Size (2019-2030)
8.5. Market Revenue, by End User (2019-2030)
8.6. Market Revenue, by Country (2019-2030)
Chapter 9. APAC Market
9.1. Overview
9.2. Market Revenue, by Process Type (2019-2030)
9.3. Market Revenue, by Deployment Mode (2019-2030)
9.4. Market Revenue, by Enterprise Size (2019-2030)
9.5. Market Revenue, by End User (2019-2030)
9.6. Market Revenue, by Country (2019-2030)
Chapter 10. LATAM Market
10.1. Overview
10.2. Market Revenue, by Process Type (2019-2030)
10.3. Market Revenue, by Deployment Mode (2019-2030)
10.4. Market Revenue, by Enterprise Size (2019-2030)
10.5. Market Revenue, by End User (2019-2030)
10.6. Market Revenue, by Country (2019-2030)
Chapter 11. MEA Market
11.1. Overview
11.2. Market Revenue, by Process Type (2019-2030)
11.3. Market Revenue, by Deployment Mode (2019-2030)
11.4. Market Revenue, by Enterprise Size (2019-2030)
11.5. Market Revenue, by End User (2019-2030)
11.6. Market Revenue, by Country (2019-2030)
Chapter 12. U.S. Market
12.1. Overview
12.2. Market Revenue, by Process Type (2019-2030)
12.3. Market Revenue, by Deployment Mode (2019-2030)
12.4. Market Revenue, by Enterprise Size (2019-2030)
12.5. Market Revenue, by End User (2019-2030)
Chapter 13. Canada Market
13.1. Overview
13.2. Market Revenue, by Process Type (2019-2030)
13.3. Market Revenue, by Deployment Mode (2019-2030)
13.4. Market Revenue, by Enterprise Size (2019-2030)
13.5. Market Revenue, by End User (2019-2030)
Chapter 14. Germany Market
14.1. Overview
14.2. Market Revenue, by Process Type (2019-2030)
14.3. Market Revenue, by Deployment Mode (2019-2030)
14.4. Market Revenue, by Enterprise Size (2019-2030)
14.5. Market Revenue, by End User (2019-2030)
Chapter 15. France Market
15.1. Overview
15.2. Market Revenue, by Process Type (2019-2030)
15.3. Market Revenue, by Deployment Mode (2019-2030)
15.4. Market Revenue, by Enterprise Size (2019-2030)
15.5. Market Revenue, by End User (2019-2030)
Chapter 16. U.K. Market
16.1. Overview
16.2. Market Revenue, by Process Type (2019-2030)
16.3. Market Revenue, by Deployment Mode (2019-2030)
16.4. Market Revenue, by Enterprise Size (2019-2030)
16.5. Market Revenue, by End User (2019-2030)
Chapter 17. Italy Market
17.1. Overview
17.2. Market Revenue, by Process Type (2019-2030)
17.3. Market Revenue, by Deployment Mode (2019-2030)
17.4. Market Revenue, by Enterprise Size (2019-2030)
17.5. Market Revenue, by End User (2019-2030)
Chapter 18. Spain Market
18.1. Overview
18.2. Market Revenue, by Process Type (2019-2030)
18.3. Market Revenue, by Deployment Mode (2019-2030)
18.4. Market Revenue, by Enterprise Size (2019-2030)
18.5. Market Revenue, by End User (2019-2030)
Chapter 19. Japan Market
19.1. Overview
19.2. Market Revenue, by Process Type (2019-2030)
19.3. Market Revenue, by Deployment Mode (2019-2030)
19.4. Market Revenue, by Enterprise Size (2019-2030)
19.5. Market Revenue, by End User (2019-2030)
Chapter 20. China Market
20.1. Overview
20.2. Market Revenue, by Process Type (2019-2030)
20.3. Market Revenue, by Deployment Mode (2019-2030)
20.4. Market Revenue, by Enterprise Size (2019-2030)
20.5. Market Revenue, by End User (2019-2030)
Chapter 21. India Market
21.1. Overview
21.2. Market Revenue, by Process Type (2019-2030)
21.3. Market Revenue, by Deployment Mode (2019-2030)
21.4. Market Revenue, by Enterprise Size (2019-2030)
21.5. Market Revenue, by End User (2019-2030)
Chapter 22. Australia Market
22.1. Overview
22.2. Market Revenue, by Process Type (2019-2030)
22.3. Market Revenue, by Deployment Mode (2019-2030)
22.4. Market Revenue, by Enterprise Size (2019-2030)
22.5. Market Revenue, by End User (2019-2030)
Chapter 23. South Korea Market
23.1. Overview
23.2. Market Revenue, by Process Type (2019-2030)
23.3. Market Revenue, by Deployment Mode (2019-2030)
23.4. Market Revenue, by Enterprise Size (2019-2030)
23.5. Market Revenue, by End User (2019-2030)
Chapter 24. Brazil Market
24.1. Overview
24.2. Market Revenue, by Process Type (2019-2030)
24.3. Market Revenue, by Deployment Mode (2019-2030)
24.4. Market Revenue, by Enterprise Size (2019-2030)
24.5. Market Revenue, by End User (2019-2030)
Chapter 25. Mexico Market
25.1. Overview
25.2. Market Revenue, by Process Type (2019-2030)
25.3. Market Revenue, by Deployment Mode (2019-2030)
25.4. Market Revenue, by Enterprise Size (2019-2030)
25.5. Market Revenue, by End User (2019-2030)
Chapter 26. Saudi Arabia Market
26.1. Overview
26.2. Market Revenue, by Process Type (2019-2030)
26.3. Market Revenue, by Deployment Mode (2019-2030)
26.4. Market Revenue, by Enterprise Size (2019-2030)
26.5. Market Revenue, by End User (2019-2030)
Chapter 27. South Africa Market
27.1. Overview
27.2. Market Revenue, by Process Type (2019-2030)
27.3. Market Revenue, by Deployment Mode (2019-2030)
27.4. Market Revenue, by Enterprise Size (2019-2030)
27.5. Market Revenue, by End User (2019-2030)
Chapter 28. U.A.E. Market
28.1. Overview
28.2. Market Revenue, by Process Type (2019-2030)
28.3. Market Revenue, by Deployment Mode (2019-2030)
28.4. Market Revenue, by Enterprise Size (2019-2030)