Database Automation Market Size (2024 - 2029)

The Database Automation Market is projected to experience significant growth over the forecast period, driven by the increasing volume of data and the need to streamline database management processes across various industries. The complexity of modern data pipelines, influenced by new data sources and formats, is propelling the demand for automation solutions that leverage AI and machine learning for comprehensive management. Despite potential challenges due to the necessity for human intervention in certain areas, the market is expected to expand rapidly as organizations seek faster and more efficient data handling capabilities. The adoption of flexible pricing models further supports this growth, making database automation more accessible and cost-effective for businesses.

Market Size of Database Automation Industry

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Database Automation Market Summary
Study Period 2019 - 2029
Market Size (2024) USD 2.35 Billion
Market Size (2029) USD 6.99 Billion
CAGR (2024 - 2029) 24.38 %
Fastest Growing Market Asia Pacific
Largest Market North America

Major Players

Database Automation Market Major Players

*Disclaimer: Major Players sorted in no particular order

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Database Automation Market Analysis

The Database Automation Market size is estimated at USD 2.35 billion in 2024, and is expected to reach USD 6.99 billion by 2029, growing at a CAGR of 24.38% during the forecast period (2024-2029).

The increasing volume of data across industries, the need to automate redundant database management processes, automated testing solutions, and the growing need for faster speed to market is expected to grow the demand for database automation across industries. However, the need for human intervention when it comes to data modeling and schema generation might hinder growth.

  • While some technology professionals are still consumed with routine operations such as backing up, scaling, tuning, monitoring, and securing critical information systems, autonomous databases make these activities less complicated and time-consuming.
  • Modern data pipelines are more complex than traditional ones. New data sources like IoT, formats such as unstructured data, and platforms and languages such as Apache Kafka and Python are creating more complex pipelines. Database automation leverages AI and machine learning to provide full, end-to-end automation for provisioning, security, updates, availability, performance, change management, and error prevention and includes query optimization, automatic memory management, and storage management to provide a completely self-tuning database.
  • Vendors in the market are pricing their products on flexible pay-as-you-go pricing models, which reduces the costs of maintaining on-premises data warehouses. For instance, Kerry EAS, a Logistics, shipping, and logistics company in China, uses Oracle's autonomous database. The company reduced the time taken to analyze its 100 million-plus data records from 30 minutes to 10 seconds and significantly reduced IT management costs, and increased return on investment by leveraging the pay-as-you-go model.
  • The spread of COVID-19 led to lockdowns in various parts of the globe, putting the IT teams under tremendous pressure due to increased digital loads on mission-critical applications and databases, spiking the demand for database automation. To acquire more customers during this increased demand, the vendors offered free tools and other offerings at a lower cost. The market is expected to grow rapidly in the long term as data grows across industries.

Database Automation Industry Segmentation

Databases are used for storing critical business information and are essential for the efficient operation of modern organizations. Database automation makes the tasks performed by an administrator simpler, safer, and more accurate. Database automation results in fewer deployment errors, higher reliability, and faster change implementations.

The Database Automation Market is segmented by Component (Solution, Services), Application (Provisioning, Backup, Security, and Compliance), Deployment Mode (Cloud, On-Premises), Enterprise Size (Large Enterprises, Small and Medium-Sized Enterprises), End-user Industry (Banking, Financial Services and Insurance (BFSI), IT and Telecom, E-commerce, and Retail) and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value in (USD) for all the above segments.

Component
Solution
Database Patch and Release Automation
Application Release Automation
Database Test Automation
Services
Deployment Mode
Cloud
On-Premises
Enterprise Size
Large Enterprises
Small and Medium-Sized Enterprises
End-user Industry
Banking, Financial Services and Insurance (BFSI)
IT and Telecom
E-commerce and Retail
Manufacturing
Government and Defense
Others (Manufacturing, Media and Entertainment)
Geography
North America
Europe
Asia-Pacific
Latin America
Middle East and Africa
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Database Automation Market Size Summary

The database automation market is poised for significant growth, driven by the increasing volume of data across various industries and the need to streamline database management processes. As organizations seek faster time-to-market solutions, the demand for automated testing and management solutions is on the rise. However, challenges such as the necessity for human intervention in data modeling and schema generation may impede growth. The market is characterized by the adoption of AI and machine learning technologies to achieve end-to-end automation, enhancing capabilities in provisioning, security, updates, and performance management. Flexible pricing models, such as pay-as-you-go, are becoming prevalent, reducing the costs associated with maintaining on-premises data warehouses and offering substantial returns on investment.

The market's expansion is further fueled by the increasing complexity of modern data pipelines, which incorporate new data sources and formats, necessitating advanced automation solutions. Sectors like telecommunications are witnessing a surge in demand for cloud services, prompting partnerships with database automation vendors to manage large-scale data integration efficiently. The emphasis on machine learning and deep learning applications is pushing vendors to enhance their AI offerings, while the adoption of DevOps practices is streamlining development and operations processes. The growing use of public and private clouds for data management is also contributing to the market's growth. Despite the presence of established players and high investment requirements, the market remains semi-consolidated, with companies engaging in strategic partnerships and acquisitions to maintain a competitive edge.

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Database Automation Market Size - Table of Contents

  1. 1. MARKET INSIGHTS

    1. 1.1 Market Overview

    2. 1.2 Industry Attractiveness - Porter's Five Forces Analysis

      1. 1.2.1 Bargaining Power of Suppliers

      2. 1.2.2 Bargaining Power of Buyers

      3. 1.2.3 Threat of New Entrants

      4. 1.2.4 Threat of Substitutes

      5. 1.2.5 Intensity of Competitive Rivalry

    3. 1.3 IMPACT OF COVID-19 ON THE GLOBAL DATABASE AUTOMATION MARKET

  2. 2. MARKET SEGMENTATION

    1. 2.1 Component

      1. 2.1.1 Solution

        1. 2.1.1.1 Database Patch and Release Automation

        2. 2.1.1.2 Application Release Automation

        3. 2.1.1.3 Database Test Automation

      2. 2.1.2 Services

    2. 2.2 Deployment Mode

      1. 2.2.1 Cloud

      2. 2.2.2 On-Premises

    3. 2.3 Enterprise Size

      1. 2.3.1 Large Enterprises

      2. 2.3.2 Small and Medium-Sized Enterprises

    4. 2.4 End-user Industry

      1. 2.4.1 Banking, Financial Services and Insurance (BFSI)

      2. 2.4.2 IT and Telecom

      3. 2.4.3 E-commerce and Retail

      4. 2.4.4 Manufacturing

      5. 2.4.5 Government and Defense

      6. 2.4.6 Others (Manufacturing, Media and Entertainment)

    5. 2.5 Geography

      1. 2.5.1 North America

      2. 2.5.2 Europe

      3. 2.5.3 Asia-Pacific

      4. 2.5.4 Latin America

      5. 2.5.5 Middle East and Africa

Database Automation Market Size FAQs

The Database Automation Market size is expected to reach USD 2.35 billion in 2024 and grow at a CAGR of 24.38% to reach USD 6.99 billion by 2029.

In 2024, the Database Automation Market size is expected to reach USD 2.35 billion.

Database Automation Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)