The SQL server transformation market is projected to reach US$ 15.5 Billion in 2022 to US$ 30.4 Billion by the end of 2029 and will witness a robust CAGR of more than 10.1% during 2022 – 2029.
SQL server transformation-based relational database management systems (RDBMS) add a layer of security to a database while providing convenience for the database users. The combination of high capacity and economically feasible storage solutions made available to a user by integrating SQL server transformation solutions would remain a strong factor in opening new avenues for database management systems and service providers on a global scale.
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Key Takeaways – SQL Server Transformation Market Study
• IT and services are the key verticals contributing to the adoption of SQL server transformation solutions and services, and the segment is estimated to generate the highest incremental opportunity among all other verticals in the global marketplace owing to the high adoption rate.
• Among all the use cases, the adoption of SQL server transformation solutions for the purpose of enterprise data warehousing is estimated to dominate the global market throughout the forecast period.
• The SQL server transformation market in the Asia Pacific excluding Japan region is estimated to offer the highest incremental opportunity among all the regional markets during the forecast period, owing to the high adoption rate showcased by the technologically evolving retail industry.
• The SQL server transformation market in Western Europe is estimated to record the second-highest incremental opportunity.
Emergence of New SQL Databases to Boost Growth of Global SQL Server Transformation Market
New SQL, a new class of databases, addresses some of the conventional shortcomings of SQL server transformation-based relational databases and relational database management systems including dynamic schema support, operational distribution, and horizontal scalability. This technology is especially well-suited for SQL server transformation applications that require fast response times (1-2 milliseconds, on average), very high ingest rates, and transactional accuracy.
Some of these SQL server transformation applications are real-time fraud detection, real-time authorization, or customer billing. New SQL solutions are best suited for enterprises working with huge volumes of structured data. Large enterprises operating in the retail and e-Commerce vertical are estimated to contribute the most to the adoption rate of New SQL databases, thus contributing to growth of the global SQL server transformation market.
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