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Database automation manages, processing, and handles data via tools and software instead of processing manually. It reduces human error to zero percent with its efficient programming. It is one of the crucial solutions for business sustainability. As per the International Data Center (IDC), the data volume is expected to reach 163 zettabytes by 2025. It will be a challenging job to collect, clean, and extract related information. This is expected to drive the demand for database automation. The demand for automation and digitalization is growing across industries such as manufacturing, healthcare, BFSI, transportation, and more. This growing digitalization is expected to boost the data volume worldwide. Thus, to manage and utilize the correct information, the demand for database automation is likely to fuel.
The growing developments in AI is offering various application across different technologies. Similarly, the integration of AI in automation is trending owing to the increasing complex data. Some other applications and benefits of AI in database automation offers fraud prevention, brand management, customer service, real-time decidion making capabilities amongothers. Thus, various industries integrate database automation with advanced technologies such as artificial intelligence, deep learning, machine learning, and more to boost the automation efficiency. This is further likely to boost database automation market growth.
Key Market Driver -
• Growing data volumes across the industries is likely drive the demand for database automation • Integration of artificial intelligence and machine learning with the database automation to boost the market growth
Key Market Restraint -
• Increasing concerns of privacy issues for stored data is likely to hamper the market growth
Some of the key players in the global database automation are Microsoft Corporation, Oracle Corporation, IBM Corporation, Redis Labs, BMC Software, CA Technologies, Amazon Web Services, Quest Software, SAP SE, Clustrix, Datavail, Micro Focus, Helpsystems, Red Gate Software, IDERA, Inc., MemSQL, among others. The companies are focusing on new and advanced solutions as per the changing requirements of the industries. These key companies are collaborating with other players to expand the reach and solution offerings to their customers.
North America is expected to gain maximum share owing to the growing demand for automation in the region. The United States is likely to showcase rapid growth during the forecast period owing to the adoption of advanced technologies across the industries. The industries such as BFSI, retail, manufacturing, healthcare are significantly contributing to data generation by using advanced technologies such as artificial intelligence, the internet of things, automation, smart devices, and more.
Europe is expected to dominate followed North America in the market share. The presence of prominent industries such as automotive, manufacturing, and healthcare drives the demand for database automation. The growing demand for digital technologies in countries such as France, ,the UK, Germany, Spain, and others drives the database automation market growth. Similarly, South America to witness steady growth as governments across the region are encouraging to adopt technologies such as AI, smart solution, and digital solutions.
Middle East and Africa are expected to gain rapid growth during the forecast period due to the growing technological infrastructure developments. The government across the countries of MEA are highly investing in process automation and digitalization. The growth of oil & gas, manufacturing, healthcare industries is driving the database automation market opportunities. Similarly, Asia Pacific is expected to gain significant growth during the forecast period. The growing focus on industrial automation, digitalization, and real-time connected solutions are driving the, and real-time connected solutions drive market growth. The countries like China, South Korea, Japan, India are expected to showcase rapid adoption of database automation owing to rapid growth in data volume
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