Database Automation Market

Surpassing the valuation of nearly US$800 Mn in 2020, global database automation market is poised to exhibit a strong double-digit CAGR through the end of forecast year, 2027. The study would provide insights into how the market growth will unfold over the period of projection.

IT and Telecommunication Industry to Fuel Growth of Database Automation Market

Database automation is leveraging processes and tools to make admin tasks for a database simpler and safer. Database automation does not only have fewer deployment errors (protecting against any unwanted outcomes) but also ensures higher reliability and speed on change implementations, thereby enabling DBAs to forecast reports, quickly discover issues instead of taking days to find them. One of the industries with the highest rate of data generation is telecom, and businesses are already providing cloud services primarily focused on large-scale data integration. The need for collaboration between database automation, and telecom firms is on the rise as demand for cloud services within telecom industry reaches new heights. This is expected to drive the growth of database automation market. To reduce downtime and provide reliable service even in the case of a data center failure, Sielte S.P.A., an Italian telecommunications firm, chose Severalnines Cluster Control. This database solution can operate 24 hours daily and offers automatic failover and recovery.

The demand for applications that heavily rely on machine learning (ML), and deep learning (DL) is expected to drive database automation vendors to develop a broader range of Artificial Intelligence (AI). A corresponding database change is needed for 57 percent of all application changes, according to Liquibase's State of Database Deployments in Application Delivery survey. Data management systems that can store terabytes of data and execute quick parallel computations are necessary for machine learning and deep learning on giant, sparse data sets. As a result, the demand for data automation solutions in IT and telecommunications is increasing quickly, in turn accelerating the progress of database automation market. The market for applications that heavily rely on machine learning (ML), and deep learning (DL) will drive database automation vendors to develop a broader range of AI technologies.

The industry is seeing a proliferation of database automation due to the growing emphasis on implementing DevOps to automate testing,  the deployment, documentation, development, and monitoring processes between software developers and operations engineers for integrating the development and operations functions to synchronise efficiently, validate, manage, and apply database changes. Additionally, the growing use of public and private clouds to effectively handle the enormous amounts of data is driving the demand for better, more affordable database automation solutions, thereby fueling database automation market.

Usage of Database as Solution to Drive Database Automation Market Ahead

The solutions segment is anticipated to represent the more significant market size in the database automation market by component throughout the forecast period. During the projection period, the automated database design and configuration sector are anticipated to increase at the most significant CAGR. The database design and configuration automation segment aids businesses in automating the challenging and error-prone human process of conceptual, logical, and physical database design. Database automation systems are being used by several industries, including banking, financial services, and insurance (BFSI), healthcare, retail, and e-commerce, to automate database management procedures. This is done so that database maintenance concerns can be put on hold while business-critical decisions and diverse business strategies are developed.

A Strong Established Technology Base to Uphold North America’s Database Automation Market

North America is the leading region. Data centers are being built out in corporate buildings due to the growing use of Big Data solutions by large IT companies to improve productivity and optimise their company processes. As a result, these small and medium-sized businesses are switching from traditional data center infrastructures to containerised and micro data centers. Due to the region's dominance in the adoption of technology, these developments are anticipated to accelerate the growth of the database automation market in the area. Through investments in modular data centers in tier-2 cities, the region has maintained a steady rise in data center infrastructure solutions. Data center infrastructure management solutions vendors will grow due to these investments. The United States has made several attempts to update its infrastructure. As an illustration, the US Army intends to spend about USD 249 million to set up private cloud computing services and data centers. Additionally, the Canadian government has adopted a cloud-first policy, according to which cloud services are recognised and assessed as the primary delivery option when starting new information technology projects, initiatives, and investments. As a result, the Canadian government's information technology is anticipated to become more agile thanks to the cloud enabling it to take advantage of private sector suppliers' innovations. ​

Additionally, California's Consumer Privacy Act (CCPA) goes into effect at the beginning of 2020, increasing the database compliance requirement. These elements suggest that businesses will require flexible, secure, effective database systems and straightforward database management tools and procedures. The provisioning segment provides high system availability and aids businesses in preventing database outages. The process of installing IT infrastructure is known as provisioning. It may also refer to the procedures necessary to control user and system access to data and resources. Although provisioning and configuration are not the same, they both occur during deployment.

Global Database Automation Market: Competitive Landscape

In January 2021, the release of the expanded version of Oracle Database 21c was announced by Oracle Corporation. It includes persistent memory storage, blockchain tables, native JSON binary data format, in-database JavaScript, and AutoML for in-database machine learning. Both on-premises and cloud deployment options are available. On the other hand, In July 2020, The Oracle Autonomous Database is now accessible on Exadata Cloud@Customer, thanks to Oracle. Exadata, Oracle's fastest database technology, which is offered as a cloud service in customer data centers, is combined with Oracle Database 11g in this new option. It eliminates database management and capital expenses while enabling elastic, pay-per-use consumption of database cloud resources.

Key Players

A few of the players in the database automation market include Microsoft (US), IBM (US), Oracle (US), CA Technologies (US), Datavail (US), BMC Software (US), Redis Labs (US), Micro Focus (UK), AWS (US), Percona (US), Severalnines (Sweden),  DBmaestro (US), HelpSystems (US), Datical (US), WhereScape (New Zealand), Redgate (UK), Chef (US), Quest Software (US), NuoDB (US), IDERA (US), SAP (Germany), TestingWhiz (US), Puppet (US), Clustrix (US), and MemSQL (US).

Regional Classification of the Global Database Automation Market is Described Below:

North America

• U.S.
• Canada

Europe

• Germany
• France
• Spain
• U.K.
• Italy
• Russia
• Rest of Europe

Asia Pacific

• China
• Japan
• India
• Southeast Asia
• Rest of Asia Pacific

Latin America

• Brazil
• Mexico
• Rest of Latin America

Middle East and Africa

• GCC
• South Africa
• Rest of Middle East and Africa

*Regions and countries are subject to change based on data availability

Key Elements Included In The Study: Global Database Automation Market

• Database Automation Market by Product/Technology/Grade, Application/End-user, and Region
• Executive Summary (Opportunity Analysis and Key Trends)
• Historical Market Size and Estimates, Value, 2018 - 2022
• Market Value at Regional and Country Level, 2023 - 2030
• Market Dynamics and Economic Overview
• Market Size in Value, Growth Rates, and Forecast Figures, 2023 - 2030
• Competitive Intelligence with Financials, Key Developments, and Portfolio of Leading Companies 
• Regional and Product/Grade/Application/End-user Price Trends Analysis
• Value Chain and Five Force’s Analysis
• Regional/Sub-region/Country Market Size and Trend Analysis
• Company Market Share Analysis and Key Player Profiles

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