Database Automation Market Study, New Project Investment and Forecast till 2029

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In the growth prospects of the global database automation market modern era, employing sophisticated digital technologies is essential for a business’s survival, let alone growth.

 

In the growth prospects of the global database automation market modern era, employing sophisticated digital technologies is essential for a business’s survival, let alone growth. With AI, automation, and cloud technologies becoming an integral part of modern business processes, the demand for state-of-art database automation solutions is growing. Database automation (DBA) can make admin tasks safer and simpler while curtailing deployment errors. DBA solutions are also very accurate with their forecasts and can discover issues very quickly. While digitalisation is affecting all industries, the IT and telecommunication industries are still the forerunners in adopting this technology. This is due to the high amount of data generated by these industries and their overall dependence on cloud computing. To this end, the growth prospects of the global database automation market are expected to be high in the forecast period.

 

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Paced Demand for AI-enabled Solutions to Enhance Growth Curve of Database Automation Market

 

In the recent past, the demand for applications that integrally utilise deep learning (ML), machine learning (DL), and other artificial intelligence (AI) is expected to grow at a sound pace. These trends are set to motivate contemporary database automation vendors to integrate AI methodologies. The key contributor to the demand for modern database management systems (DBMS) is their ability to easily manage terabytes of data and execute millions of computations. These systems are required necessary to handle huge datasets and assist in ML and DL targets. Automation solutions are in high demand across the IT and telecom industries. These developments are aiding the long-term growth of the global database automation sector.

 

Deployment Across Key Industries to Unlock Novel Growth Possibilities for Database Automation Market

 

As database automation solutions continue to improve, their application pool and overall scalability are expected to greatly improve. To this end, the demand for cutting-edge database automation solutions is poised to grow. Banking, financial services and insurance (BFSI), retail, e-commerce, and healthcare are some of the major industries with high demand for these systems. The business prospects of database design and configuration automation are also amplifying of late. Several businesses are eager to automotive internal processes that were prone to human error. These innovations, coupled with continual improvement in AI technologies, set the precedent for healthy growth of the global database automation industry.

North America to Dominate Database Automation Market Amidst Increasing Number of Data Centers

 

The IT industry in North America is highly competitive and innovative. Many industries are seeking to leverage sophisticated IT, data science, and automation technologies to gain a competitive edge. Data centers are being set up in corporate buildings across the region. As the need for effective data management continues to grow, several small and medium-sized businesses are adopting containerised and micro data centers. Besides, major regional economies such as the USA and Canada are swiftly adopting sophisticated cloud infrastructure. These prerequisites are establishing North America as the leading database automation market region.

Major Market Players

 

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

 

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