The global Database Automation Market is expected to grow from USD 493.4 million in 2018 to USD 1,714.0 million by 2023, at a Compound Annual Growth Rate (CAGR) of 28.3% during the forecast period (2018–2023). The database automation solutions help enterprises improve their efficiency, minimize costs, and reduce security vulnerabilities by automating routine and manual database administrative tasks and compliance processes. The major driving factors for the database automation market are continuous growth in the volumes of data across verticals, surge in the need for database automation solutions, rise in the demand for automation of repetitive database management processes, increasing need of database automation so that database administrators can be lesser concerned about the state of their databases and focus on driving growth, and upsurge in the demand for automating business processes to reduce time.
The market in Middle East and Africa (MEA) is expected to grow at the highest CAGR during the forecast period. The immense growth of data across verticals in the MEA region has increased organizations’ need for an efficient database automation solution to manage the database management processes in an efficient and effective manner. Moreover, the other major factor driving the growth of the market in the MEA region is lack of skilled employees, which demands automation of business processes.
The database automation market by component has been broadly classified as solutions and services. The services segment is expected to grow at a higher CAGR during the forecast period. As industry verticals, such as healthcare; Banking, Financial Services, and Insurance (BFSI); retail; and manufacturing, are working toward the improvement of database management processes with the help of database automation solutions, the demand for database automation services, such as professional and managed services, are expected to increase during the forecast period.
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The database automation market by application consists of provisioning, backup, and security and compliance. The provisioning segment is expected to grow at the highest CAGR during the forecast period. The provisioning segment helps enterprises keep mission-critical processes safe from cyber-attacks and avoid unscheduled downtime by replicating the database.
The database automation market by deployment mode is segmented into cloud and on-premises. The cloud segment is expected to grow at a higher CAGR during the forecast period. Cloud-based database automation solutions offer agility, higher scalability, and simple deployment, and help reduce operational cost.
Based on the enterprise size, the database automation market is segmented into Small and Medium-sized Enterprises (SMEs) and large enterprises. The large enterprises segment is expected to grow at a higher CAGR during the forecast period. With the generation of large volumes of data across various departments, large organizations are compelled to adopt database automation solutions, as they are proving beneficial to manage the database processes efficiently.
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The database automation market is also segmented on the basis of verticals into BFSI, healthcare, manufacturing, retail and eCommerce, research and academia, government and defense, media and entertainment, telecom and IT, and others (transportation, and oil and gas). The retail and eCommerce vertical is expected to grow at the highest CAGR during the forecast period. Retailers are focusing on automating database management processes, as large volumes of data are generated through social media platforms, Point of Sale (PoS) systems, mobile apps, and eCommerce and web platforms. Management of this ever-increasing data manually is an error-prone and time-consuming process, thus there is an increased demand for automating database management processes in the retail and eCommerce vertical.
The major database automation vendors include Microsoft (US), IBM (US), Oracle (US), CA Technologies (US), BMC Software (US), Micro Focus (UK), AWS (US), Datavail (US), Percona (US), DBmaestro (US), HelpSystems (US), Datical (US), Redgate (UK), WhereScape (New Zealand), Severalnines (Sweden), Quest Software (US), IDERA (US), SAP (Germany), Chef (US), Redis Labs (US), NuoDB (US), TestingWhiz (US), Puppet (US), Clustrix (US), and MemSQL (US).
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