The worldwide SQL server transformation market is anticipated to surge at an impressive CAGR of 10.1% from 2022 to 2029. At present, industry revenue stands at US$ 15.5 Billion, which is expected to rise to US$ 30.4 billion by the end of 2029.
| Report Attributes | Details |
|---|---|
| SQL Server Transformation Market Size (2022) | US$ 15.5 Billion |
| Estimated Net Worth (2029) | US$ 30.4 Billion |
| Predicted Growth Rate (2022 to 2029) | 10.1% CAGR |
| Largest Function Segment | Data Integration Scripts - 35.9% |
Revenue from SQL server transformation accounts for a 15% share of the global system integration market. Increasing technological proliferation has led to a surge in the deployment of SQL servers to manage databases that govern large data volumes.
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| Market Statistics | Details |
|---|---|
| H1,2021 (A) | 8.3% |
| H1,2022 Projected (P) | 8.9% |
| H1,2022 Outlook (O) | 8.5% |
| BPS Change : H1,2022 (O) - H1,2022 (P) | (-) 40 ↓ |
| BPS Change : H1,2022 (O) - H1,2021 (A) | (+) 20 ↑ |
A decrease of 40 units in BPS values was observed in the SQL server transformation market in H1, 2022 - Outlook (O) over H1, 2022 Projected (P), as per FMI analysis. Some relational database management systems have limits on their field lengths.
When the database is being designed, the developer has to specify the amount of data the client can fit into a field. Some search queries are shorter than the actual data fed into the database, and this leads to data loss. Thereby such technical limitations are restraining the solution adoption and impact market growth.
However, compared to H1, 2021 (A), the SQL server transformation market increased by 20 BPS in H1 -2022. In the healthcare, financial, educational, and IT sectors, SQL server transformation-based systems are crucial for exporting and importing data and delivering audit information with gradually changing dimensions.
Business intelligence tasks including data cleaning, text mining, and performing data mining prediction queries are carried out via SQL server transformation, which is likely to drive market growth.
Rising technological proliferation in multiple regions has created a widespread trend of digitization leading to an increase in the deployment of multiple servers and databases for data management. Demand for SQL server transformation rose at a CAGR of 7.2% from 2014 to 2021.
SQL server transformation systems also add an extra layer of security to database software, and many new SQL server transformation solutions add easy-to-use features to enable the convenient administration of databases.
Increasing focus on the digitization of businesses, rising technological proliferation, widespread digitization of multiple verticals, increasing data volume, rising demand for efficient database management, and increasing speed of SQL server transformation are some major factors that guide the SQL server transformation market potential over the forecast period.
The SQL server transformation market is anticipated to rise at a stellar CAGR of 10.1% from 2022 to 2029.
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Increasing Adoption of SQL Server Transformation in Education & Retail
Digital transformation across major industry verticals has become a common trend in the past few years but this trend is evolving with verticals like education and retail providing huge opportunities for SQL server transformation. The IT sector remains a dominant industry vertical for SQL server transformation providers but they can also invest in capitalizing on the new opportunities that the retail and education sectors are predicted to offer.
Rising Popularity of NewSQL Databases to Provide New Opportunities
NewSQL solutions are addressing shortcomings of the current database software and solutions in handling a large volume of data. Large enterprises that utilize structured data are anticipated to lead the adoption of NewSQL databases. With more organizations moving towards these new databases, SQL server transformation providers are expected to have more new opportunities to cash in in the global marketplace.
Complexity & Lack of Efficiency to Negatively Influence SQL Server Transformation Demand
SQL server transformation processes were complex from the very first but have become more complex as technology has advanced in recent years. Lack of efficiency, high complexity, and lack of availability of appropriate solutions are major restraining factors that adversely impact SQL server transformation demand.
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North America to Hold Dominant Market Share in Global Landscape
Regions such as North America, Latin America, Europe, East Asia, South Asia & Pacific, and the Middle East & Africa (MEA) have been assessed in this SQL server transformation market research report by FMI.
The market for SQL server transformation in North America is anticipated to hold a dominant stance over the forecast period owing to rising technological advancements in the region. The USA is anticipated to be the most prominent country in this region for SQL server transformation providers. Increasing adoption of intelligent technologies such as AI, IoT, machine learning, etc.
Demand for SQL server transformation in Europe is also expected to be significant over the forecast period. Increasing adoption of cloud technology from large enterprises and SMEs is anticipated to increase the deployment of SQL servers.
Rapid digitization in regions such as East Asia, South Asia, and the Pacific regions are anticipated to guide SQL server transformation market potential over the forecast period. Increasing use of data warehousing solutions in these regions is anticipated to primarily facilitate opportunities for SQL server transformation solution providers.
The SQL server transformation market in the MEA region is predicted to provide a lucrative setting for SQL server transformation vendors. Adoption of high-performance SQL server transformation (Relational Database Management System) RDBMS in this region is expected to majorly provide lucrative opportunities for SQL server transformation companies.
Rapid Urbanization & Digitization Expected to Boost Demand for SQL Server Transformation
India is a developing economy and has proved to be a massively important market for many companies. SQL server transformation market in India is expected to have a bright outlook owing to the increase in digitization of multiple large enterprises and SME businesses. Rising technological proliferation, rapidly advancing digital transformation, and increasing adoption of cloud technologies are expected to boost market potential in India over the forecast.
Data warehousing demand is on an upward trend in India and this is anticipated to propel the adoption of SQL server transformation solutions and services.
Presence of Key SQL Server Transformation Companies to Make USA a Rewarding Market
The USA is a highly rewarding market for all technologies due to the presence of major tech giants. The increasing need for data management has led to a substantial increase in the adoption of SQL server transformation solutions. The presence of key SQL server transformation providers like Microsoft and Oracle also favors market potential in the USA
Data Integration Scripts to Have Dominant Outlook
In 2022, data integration scripts hold a huge market share of 35.9% in the global SQL server transformation market landscape and are currently the dominant sub-segment in the function segment.
Second to this is the information retrieval segment with a market share of 29.8%, which is closely followed by the analytical queries segment accounting for 26.4% in the global SQL server transformation landscape.
The world saw a sudden emergence of coronavirus infections in 2020 which later led to a global pandemic of epic proportions. Lockdown restrictions across multiple countries hampered the world economy and led many markets vulnerable to losses.
The adoption of cloud technology during the pandemic saw an exponential rise as many large enterprises and SMEs used cloud-based services to keep their businesses operational in times of strict lockdown restrictions. This positively influenced the demand for SQL server transformation in 2020.
Increasing volumes of data in the post-pandemic era are expected to propel the demand for database software and also SQL server transformation services to manage these increasingly complex databases.
SQL server transformation providers are investing in the expansion of their service offerings to cater to the changing trends of large enterprises and SMEs. SQL server transformation vendors are also expected to focus on the rising popularity of NewSQL databases and develop new solutions specific to them.
| Attribute | Details |
|---|---|
| Forecast Period | 2022 to 2029 |
| Historical Data Available for | 2014 to 2021 |
| Market Analysis | US$ Million for Value |
| Key Regions Covered | North America; Latin America; Europe; East Asia; South Asia & Pacific; Middle East & Africa (MEA) |
| Key Countries Covered | USA, Canada, Brazil, Mexico, Germany, United Kingdom, France, Spain, Italy, China, Japan, South Korea, India, Indonesia, Malaysia, Singapore, Australia, New Zealand, Turkey, South Africa, and GCC Countries |
| Key Market Segments Covered | Enterprise Size, Function, Use Case, Vertical, Region |
| Key Companies Profiled | Oracle; Microsoft; SAP SE; IBM; Alphabet; Amazon Web Services Inc.; Teradata; NuoDB Inc.; MemSQL Inc.; Actian Corporation |
| Pricing | Available upon Request |
In 2022, the global SQL server transformation market is worth US$ 15.5 Billion.
From 2022 to 2029, the global SQL server transformation market is projected to evolve at a stellar CAGR of 10.1%.
Key SQL server transformation providers are Oracle, Microsoft, SAP SE, IBM, Alphabet, Amazon Web Services Inc., and Teradata.
By 2029, SQL server transformation market revenue is anticipated to reach US$ 30.4 Billion.
Data integration scripts account for a dominant market share of 35.9%.
1. Executive Summary | SQL Server Transformation Market 1.1. Global Market Outlook 1.2. Supply Side Trends 1.3. Demand Side Trends 1.4. Technology Timeline: Database Software 2. Market Overview 2.1. Market Segmentation 2.2. Definition: Parent Market 2.3. Definition by Function 2.4. Definition by Use Case 3. Key Market Trends 3.1. Scoring Methodology 3.2. Top DBMS Providers 3.2.1. Top 15 DBMS Providers 3.2.2. Top 5 Commercial Licensed DBMS Providers 3.2.3. Top 5 Open Source DBMS Providers 3.3. Popularity Trend by DBMS License 3.4. Popularity by Database Model 3.5. Subscription Pricing Analysis 4. Market Background 4.1. Macro-Economic Factors 4.1.1. Volume (in Zetabytes) of Data Created Worldwide from 2010 to 2025 4.1.2. Enterprise-grade Spending on Software (US$ Billion) 4.1.3. Internet Users in Major Countries 4.1.4. Number of Internet Users (Million Users) in Major Countries 4.1.5. Internet World Penetration Rate (%) by Region, December 2017 4.1.6. Global Internet User Distribution (%), 2017 4.2. Forecast Factors - Relevance & Impact 4.2.1. Economic growth of developing countries such as India and South Asia 4.2.2. Increasing Adoption of BYOD Devices 4.2.3. Penetration of the Internet and Smartphones 4.2.4. Transition from On-premise to Cloud 4.2.5. Adoption of IoT and Advanced Technologies in Manufacturing 4.2.6. Automation 4.2.7. Government Initiatives 4.3. Market Dynamics 4.3.1. Drivers 4.3.1.1. Utilization of Natural Data Structure by RDMS 4.3.1.2. Simultaneous Database Access for Multiple Database Users 4.3.1.3. Integration of Authorization and Privilege Control Features 4.3.1.4. Provision of Data Security Features by Utilization of Server Daemon 4.3.1.5. RDBMS Performance Speeds as per End-user Requirements 4.3.1.6. Automation Features Integrated into the RDMS 4.3.2. Restraints 4.3.2.1. Time-Consuming Database Setup and High Procurement Costs 4.3.2.2. Incompatibility due to Complexity of Data 4.3.2.3. Data Loss Due to Fixed Field Lengths 4.3.2.4. Multiple Databases Result in Data Sharing Troubles 4.3.3. Opportunity Analysis 4.3.3.1. Prevalence of High-Capacity Storage and Digital Devices 4.3.3.2. Increasing Internet Usage is Expected to Offer Lucrative Opportunities 5. Global Market Demand (in Value or Size in US$ Million) Analysis 2014 to 2021 and Forecast, 2022 to 2029 5.1. Market Size (US$ Million) and Y-o-Y Growth Rate (%) from 2022 to 2029 5.2. Market Absolute $ Opportunity (US$ Million), 2022 to 2029 5.3. Incremental Opportunity Analysis 5.3.1. By Enterprise Size 5.3.2. By Function 5.3.3. By Use Case 5.3.4. By Vertical 5.3.5. By Region 6. Global Market Analysis 2014 to 2021 and Forecast 2022 to 2029, by Enterprise Size 6.1. Introduction / Key Findings 6.2. Historical Market Size (US$ Million) Analysis By Enterprise Size, 2014 to 2021 6.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Enterprise Size, 2022 to 2029 6.3.1. Large Enterprises 6.3.2. Small and Medium Sized Enterprises (SMEs) 6.4. Market Attractiveness Analysis By Enterprise Size 7. Global Market Analysis 2014 to 2021 and Forecast 2022 to 2029, by Function 7.1. Introduction / Key Findings 7.2. Historical Market Size (US$ Million) Analysis By Function, 2014 to 2021 7.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Function, 2022 to 2029 7.3.1. Data Integration Scripts 7.3.2. Analytical Queries 7.3.3. Information Retrieval 7.3.4. Other Applications 7.4. Market Attractiveness Analysis By Function 8. Global Market Analysis 2014 to 2021 and Forecast 2022 to 2029, by Use of Case 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Million) Analysis By Use Case, 2014 to 2021 8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Use Case, 2022 to 2029 8.3.1. Business Operations 8.3.2. Enterprise Data Warehousing 8.4. Market Attractiveness Analysis By Use Case 9. Global Market Analysis 2014 to 2021 and Forecast 2022 to 2029, by Vertical 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Million) Analysis By Vertical, 2014 to 2021 9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Vertical, 2022 to 2029 9.3.1. IT and Services 9.3.2. Healthcare 9.3.3. Financial Services 9.3.4. Professional Services 9.3.5. Education 9.3.6. Retail 9.3.7. Construction 9.4. Market Attractiveness Analysis By Vertical 10. Global Market Analysis 2014 to 2021 and Forecast 2022 to 2029, by Region 10.1. Introduction 10.2. Historical Market Size (US$ Million) Analysis By Region, 2014 to 2021 10.3. Current Market Size (US$ Million) Analysis and Forecast By Region, 2022 to 2029 10.3.1. North America 10.3.2. Latin America 10.3.3. Western Europe 10.3.4. Eastern Europe 10.3.5. Asia Pacific Excluding Japan (APEJ) 10.3.6. Japan 10.3.7. Middle East and Africa (MEA) 10.4. Market Attractiveness Analysis By Region 11. North America Market Analysis 2014 to 2021 and Forecast 2022 to 2029 11.1. Introduction 11.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 11.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 11.3.1. By Country 11.3.1.1. USA 11.3.1.2. Canada 11.3.2. By Enterprise Size 11.3.3. By Function 11.3.4. By Use Case 11.3.5. By Vertical 11.4. Market Attractiveness Analysis 11.4.1. By Country 11.4.2. By Enterprise Size 11.4.3. By Function 11.4.4. By Use Case 11.4.5. By Vertical 11.5. Drivers and Restraints - Impact Analysis 12. Latin America Market Analysis 2014 to 2021 and Forecast 2022 to 2029 12.1. Introduction 12.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 12.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 12.3.1. By Country 12.3.1.1. Brazil 12.3.1.2. Mexico 12.3.1.3. Rest of Latin America 12.3.2. By Enterprise Size 12.3.3. By Function 12.3.4. By Use Case 12.3.5. By Vertical 12.4. Market Attractiveness Analysis 12.4.1. By Country 12.4.2. By Enterprise Size 12.4.3. By Function 12.4.4. By Use Case 12.4.5. By Vertical 12.5. Drivers and Restraints - Impact Analysis 13. Western Europe Market Analysis 2014 to 2021 and Forecast 2022 to 2029 13.1. Introduction 13.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 13.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 13.3.1. By Country 13.3.1.1. Germany 13.3.1.2. Italy 13.3.1.3. France 13.3.1.4. United Kingdom 13.3.1.5. Spain 13.3.1.6. BENELUX 13.3.1.7. Rest of Western Europe 13.3.2. By Enterprise Size 13.3.3. By Function 13.3.4. By Use Case 13.3.5. By Vertical 13.4. Market Attractiveness Analysis 13.4.1. By Country 13.4.2. By Enterprise Size 13.4.3. By Function 13.4.4. By Use Case 13.4.5. By Vertical 13.5. Drivers and Restraints - Impact Analysis 14. Eastern Europe Market Analysis 2014 to 2021 and Forecast 2022 to 2029 14.1. Introduction 14.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 14.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 14.3.1. By Country 14.3.1.1. Russia 14.3.1.2. Poland 14.3.1.3. Rest of Eastern Europe 14.3.2. By Enterprise Size 14.3.3. By Function 14.3.4. By Use Case 14.3.5. By Vertical 14.4. Market Attractiveness Analysis 14.4.1. By Country 14.4.2. By Enterprise Size 14.4.3. By Function 14.4.4. By Use Case 14.4.5. By Vertical 14.5. Drivers and Restraints - Impact Analysis 15. Asia Pacific excluding Japan Market Analysis 2014 to 2021 and Forecast 2022 to 2029 15.1. Introduction 15.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 15.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 15.3.1. By Country 15.3.1.1. India 15.3.1.2. China 15.3.1.3. ASEAN 15.3.1.4. Australia and New Zealand 15.3.1.5. Rest of Asia Pacific excluding Japan 15.3.2. By Enterprise Size 15.3.3. By Function 15.3.4. By Use Case 15.3.5. By Vertical 15.4. Market Attractiveness Analysis 15.4.1. By Country 15.4.2. By Enterprise Size 15.4.3. By Function 15.4.4. By Use Case 15.4.5. By Vertical 15.5. Drivers and Restraints - Impact Analysis 16. Japan Market Analysis 2014 to 2021 and Forecast 2022 to 2029 16.1. Introduction 16.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 16.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 16.3.1. By Enterprise Size 16.3.2. By Function 16.3.3. By Use Case 16.3.4. By Vertical 16.4. Market Attractiveness Analysis 16.4.1. By Enterprise Size 16.4.2. By Function 16.4.3. By Use Case 16.4.4. By Vertical 16.5. Drivers and Restraints - Impact Analysis 17. Middle East and Africa Market Analysis 2014 to 2021 and Forecast 2022 to 2029 17.1. Introduction 17.2. Historical Market Size (US$ Million) Trend Analysis By Market Taxonomy, 2014 to 2021 17.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 17.3.1. By Country 17.3.1.1. GCC Countries 17.3.1.2. Northern Africa 17.3.1.3. South Africa 17.3.1.4. Turkey 17.3.1.5. Israel 17.3.1.6. Rest of Middle East and Africa 17.3.2. By Enterprise Size 17.3.3. By Function 17.3.4. By Use Case 17.3.5. By Vertical 17.4. Market Attractiveness Analysis 17.4.1. By Country 17.4.2. By Enterprise Size 17.4.3. By Function 17.4.4. By Use Case 17.4.5. By Vertical 17.5. Drivers and Restraints - Impact Analysis 18. Market Structure Analysis 18.1. Market Analysis by Tier of Companies 18.2. Market Concentration 18.3. Market Share Analysis of Top Players 18.4. Market Position of Key Players 19. Competition Analysis 19.1. Competition Dashboard 19.2. Competition Deep Dive 19.2.1. Oracle 19.2.1.1. Overview 19.2.1.2. Key Financials 19.2.1.3. Product Portfolio 19.2.1.4. Technology Development 19.2.1.5. Key Strategies 19.2.2. Microsoft 19.2.2.1. Overview 19.2.2.2. Key Financials 19.2.2.3. Product Portfolio 19.2.2.4. Technology Development 19.2.2.5. Key Strategies 19.2.3. SAP SE 19.2.3.1. Overview 19.2.3.2. Key Financials 19.2.3.3. Product Portfolio 19.2.3.4. Technology Development 19.2.3.5. Key Strategies 19.2.4. IBM 19.2.4.1. Overview 19.2.4.2. Key Financials 19.2.4.3. Product Portfolio 19.2.4.4. Technology Development 19.2.4.5. Key Strategies 19.2.5. Alphabet 19.2.5.1. Overview 19.2.5.2. Key Financials 19.2.5.3. Product Portfolio 19.2.5.4. Technology Development 19.2.5.5. Key Strategies 19.2.6. Amazon Web Services, Inc. 19.2.6.1. Overview 19.2.6.2. Key Financials 19.2.6.3. Product Portfolio 19.2.6.4. Technology Development 19.2.6.5. Key Strategies 19.2.7. Teradata 19.2.7.1. Overview 19.2.7.2. Key Financials 19.2.7.3. Product Portfolio 19.2.7.4. Technology Development 19.2.7.5. Key Strategies 19.2.8. NuoDB, Inc. 19.2.8.1. Overview 19.2.8.2. Key Financials 19.2.8.3. Product Portfolio 19.2.8.4. Technology Development 19.2.8.5. Key Strategies 19.2.9. MemSQL, Inc. 19.2.9.1. Overview 19.2.9.2. Key Financials 19.2.9.3. Product Portfolio 19.2.9.4. Technology Development 19.2.9.5. Key Strategies 19.2.10. Actian Corporation 19.2.10.1. Overview 19.2.10.2. Key Financials 19.2.10.3. Product Portfolio 19.2.10.4. Technology Development 19.2.10.5. Key Strategies 20. Assumptions and Acronyms Used 21. Research Methodology
Technology
January 2015
REP-MA-39
February 2024
342 pages
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SQL Server Transformation Market
