The global Structured Query Language (SQL) server transformation market size reached USD 12.42 Billion in 2021 and is expected to register a revenue CAGR of 9.4% during the forecast period, according to latest analysis by Emergen Research. Increasing demand for SQL server transformation in end-use industries such as retail, Information Technology (IT), and Banking, Financial Services, and Insurance (BFSI) sectors is a key factor driving market revenue growth. Rapidly increasing data volumes across these sectors is driving demand for SQL server transformation. Data transformation services for SQL servers help in better organization of data. Transformation of data also allows easier data processing. Well-formatted and validated data protects applications from possible issues such as unexpected duplication, null values, incompatible formats, and incorrect indexing. SQL server data transformation improves compatibility between systems, applications, and data types. Rising demand for SQL server transformation is also prompting developer companies to bring newer technologies to the market. On 24 May 2022 for instance, Microsoft announced the launch of SQL Server 2022, which has some new features with security and improvements. The new SQL server now works with Azure Synapse Link and Microsoft Purview to provide customers with deeper insights and governance from their data estates at scale.
The Global Structured Query Language Server Transformation Market research report is a detailed document outlining the recent advancements and developments in the Structured Query Language Server Transformation business sphere considering 2019 as the base year and 2022-2030 as the forecast timeline. The report offers valuable insights into the market size, market share, sales channel and distribution network, segmentation of the market, demands, and trends, and growth prospects. The report also studies the growth of the market on a global and regional scale. The report studies the impact of the COVID-19 pandemic on the Structured Query Language Server Transformation market and its crucial segments. The supply chain disruptions and economic instability have negatively impacted the growth of the market in several key regions. The report offers an in-depth analysis of the market size, market share, and market growth and its estimation through the forecast years on the basis of the COVID-19 crisis. The report examines the recent COVID-19 crisis and its impact on the global market. The report explores the present and future impact of the pandemic and provides an insight into the post-pandemic market scenario
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The Internet of Things (IoT) is gaining significant traction across various industrial verticals to improve flow of business operations. According to research, the number of IoT connections increased by 8% in 2021 over the previous year. In 2023, the number of IoT-enabled devices globally is estimated to rise to 43 billion. In addition, increasing penetration of smart devices has helped implementation of IoT technologies. It is expected that investments in IoT would increase significantly due to introduction of new sensors, enhanced computing power, and better network connectivity. Use of IoT in various businesses is driving growth of data volumes, which is expected to drive demand for SQL and support market revenue growth.
List of Key Players of Structured Query Language Server Transformation Market
Oracle Corporation, IBM Corporation, NuoDB Inc., Microsoft Corporation, Alphabet Inc., SingleStore Inc., Teradata Corporation, Actian Corporation, SAP SE, and Amazon Web Services Inc
Some Key Highlights from Structured Query Language Server Transformation Report
- The data integration scripts segment accounted for largest revenue share in the global SQL server transformation market in 2021 due to high adoption rate of this technology among organizations. SQL is used to solve complex business problems through copying or downloading files, data warehouse loading, data cleansing and mining, and SQL server object management. Data integration scripts enhance business decision-making process and streamline organizational operational activities.
- Enterprise data warehousing segment revenue is expected to increase at a steady rate over the forecast period due to rising need for storing vast volumes of data among organizations. Enterprise data warehousing is a procedure to store business data, including customer information of a company, in a relational data warehouse. It is also an important procedure for big data solutions. Importing big data into SQL data warehouses helps organizations to run high-performance data analyses.
- The SQL server transformation market in North America accounted for largest revenue share in 2021 due to high adoption of advanced technologies and devices resulting in high need for data management solutions. Rising need to manage vast volumes of data among large enterprises in countries across the region is driving high demand for SQL server transformation.
- On 23 October 2020, SolarWinds, which is a U.S.-based software company engaged in offering solutions for IT management software, announced signing of a partnership agreement for the acquisition of SentryOne, which is a firm offering DataOps solutions and database performance monitoring on SQL server among other platforms.
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Segments Covered in this report are:
Function Type Outlook (Revenue, USD Billion; 2019-2030)
- Data Integration Scripts
- Information Retrieval
- Analytical Queries
- Others
Application Outlook (Revenue, USD Billion; 2019-2030)
- Enterprise Data Warehousing
- Business Operations
Organization Size Outlook (Revenue, USD Billion; 2019-2030)
- Small Medium-sized Enterprises
- Large Enterprises
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Regional Outlook
North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- BENELUX
- Rest of Europe
Asia Pacific
- China
- Japan
- South Korea
- India
- Rest of APAC
Latin America
- Brazil
- Rest of LATAM
MEA
- Saudi Arabia
- UAE
- Rest of MEA
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