SQL Server Transformation Market - Global Industry Analysis and Opportunity Assessment, 2019-2029
A recent market report published by FMI on the SQL server transformation market includes a global industry analysis for 2014 – 2018 and an opportunity assessment for 2019 – 2029, and delivers a comprehensive assessment of the most important market dynamics. After conducting thorough research on the historical and current growth parameters, growth prospects of this market are obtained with maximum precision.
Chapter 01 – Executive Summary
The report begins with the executive summary of the SQL server transformation market, which includes a summary of key findings and statistics of the market. It also includes demand and supply-side trends pertaining to this market. A technology timeline has also been provided in this section.
Chapter 02 – Market Overview
Readers can find the definition and a detailed taxonomy of the SQL server transformation market in this chapter, which will help them to understand basic information about the market. Along with this, comprehensive information pertaining to SQL server transformation by function and use case is provided in this section. This section also highlights the inclusions and exclusions, which help readers to understand the scope of the SQL server transformation market report.
Chapter 03 – Key Market Trends
The SQL server transformation market report provides key market trends that are expected to significantly impact market growth during the forecast period. Scores of key players based on their popularity in the global SQL server transformation market have also been provided in this section, along with other statistics, such as popularity trend by DBMS license, popularity by database model, and subscription pricing analysis.
Chapter 04 – Market Background
This chapter explains the key macroeconomic factors that are expected to influence growth of the SQL server transformation market over the forecast period. Along with macroeconomic factors, this section also highlights the forecast factors, for the SQL Server Transformation market. Moreover, in-depth information about market drivers, market challenges, and opportunities have been provided in this section.
Chapter 05 – Global SQL Server Transformation Market Demand Analysis 2014-2018 and Opportunity Assessment 2019-2029
This section explains the value analysis for the global SQL server transformation market during the forecast period of 2019-2029. This chapter includes a detailed opportunity analysis for the future. Readers can also find the absolute $ opportunity for the current year (2019), and incremental $ opportunity for the forecast period (2019–2029).
Chapter 06 – Global SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029 by Enterprise Size
Based on enterprise size, the SQL server transformation market is segmented into large enterprises, and small- and medium-sized enterprises (SMEs). In this chapter, readers can find information about key trends and developments by enterprise size in the SQL server transformation market and market attractiveness analysis.
Chapter 07 – Global SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029 by Function
Based on function, the SQL server transformation market is segmented into data integration scripts, analytical queries, information retrieval, and other applications. In this chapter, readers can find information about developments and key trends by function in the SQL server transformation market.
Chapter 08 – Global SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029 by Use Case
Based on use case, the SQL server transformation market is segmented into business operations and enterprise data warehousing. In this chapter, readers can find information about key trends and developments by use case in the SQL server transformation market and market attractiveness analysis.
Chapter 09 – Global SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029 by Vertical
Based on vertical, the SQL server transformation market is segmented into IT and services, healthcare, financial services, professional services, education, retail, and construction. In this chapter, readers can find information about developments and key trends by vertical in the SQL server transformation market.
Chapter 10 – Global SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029 by Region
This chapter explains how the SQL server transformation market is anticipated to grow across various geographic regions such as North America, Latin America, Western Europe, Eastern Europe, APEJ (Asia-Pacific excluding Japan), Japan, and the Middle East and Africa (MEA).
Chapter 11 – North America SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
This chapter includes a detailed analysis on the growth of the North America SQL server transformation market, along with a country-wise assessment including the U.S. and Canada.
Chapter 12 – Latin America SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
This chapter provides the growth scenario of the SQL server transformation market in Latin American countries such as Brazil, Mexico, and the Rest of Latin America.
Chapter 13 – Western Europe SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
Important growth prospects of the SQL server transformation market in several countries such as Germany, the UK, France, Spain, Italy, BENELUX, and the Rest of Western Europe are included in this chapter.
Chapter 14 – Eastern Europe SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
This chapter provides the growth scenario of the SQL server transformation market in Eastern Europe countries such as Russia, Poland, and the Rest of the Eastern Europe.
Chapter 15 – Asia Pacific Excluding Japan SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
This chapter highlights the growth of the SQL server transformation market in APEJ by focusing on China, India, ASEAN, Australia and New Zealand, and the Rest of APEJ.
Chapter 16 – Japan SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
This section helps readers understand key factors that are responsible for the growth of the SQL server transformation market in Japan.
Chapter 17 – Middle East & Africa SQL Server Transformation Market Analysis 2014-2018 and Opportunity Assessment 2019-2029
This chapter provides information about how the SQL server transformation market is anticipated to grow in major countries in the Middle East & Africa region, such as GCC Countries, Israel, Turkey, Northern Africa, South Africa, and the Rest of Middle East & Africa, during the forecast period of 2019-2029.
Chapter 18 – Market Structure Analysis
In this chapter, readers can find detailed information about the tier analysis and market concentration of key players in the SQL server transformation market, along with their market share analysis.
Chapter 19 – Competition Analysis
In this chapter, readers can find a comprehensive list of all the prominent stakeholders in the SQL server transformation market, along with detailed information about each company, which includes the company overview, key financials, product portfolio, technology development trends and key strategies. Some of the market players featured in the report are Oracle, Microsoft, SAP SE, IBM, Alphabet, Amazon Web Services, Inc., Teradata, NuoDB, Inc., MemSQL, Inc., and Actian Corporation.
Chapter 20 – Assumptions and Acronyms
This chapter includes a list of acronyms and assumptions that provides a base to the information and statistics included in the SQL server transformation market report.
Chapter 21 – Research Methodology
This chapter helps readers understand the research methodology followed to obtain various conclusions, as well as important qualitative and quantitative information, about the SQL server transformation market.
- 1. Executive Summary
- 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$ Bn)
- 4.1.3. Internet Users in Major Countries
- 4.1.4. Number of Internet Users (Mn 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 SQL Server Transformation Market Demand (in Value or Size in US$ Mn) Analysis 2014-2018 and Forecast, 2019-2029
- 5.1. Market Size (US$ Mn) and Y-o-Y Growth Rate (%) from 2019 – 2029
- 5.2. Market Absolute $ Opportunity (US$ Mn), 2019 – 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029, by Enterprise Size
- 6.1. Introduction / Key Findings
- 6.2. Historical Market Size (US$ Mn) Analysis By Enterprise Size, 2014 - 2018
- 6.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Enterprise Size, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029, by Function
- 7.1. Introduction / Key Findings
- 7.2. Historical Market Size (US$ Mn) Analysis By Function, 2014 - 2018
- 7.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Function, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029, by Use Case
- 8.1. Introduction / Key Findings
- 8.2. Historical Market Size (US$ Mn) Analysis By Use Case, 2014 - 2018
- 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Use Case, 2019 - 2029
- 8.3.1. Business Operations
- 8.3.2. Enterprise Data Warehousing
- 8.4. Market Attractiveness Analysis By Use Case
- 9. Global SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029, by Vertical
- 9.1. Introduction / Key Findings
- 9.2. Historical Market Size (US$ Mn) Analysis By Vertical, 2014 - 2018
- 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Vertical, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029, by Region
- 10.1. Introduction
- 10.2. Historical Market Size (US$ Mn) Analysis By Region, 2014 - 2018
- 10.3. Current Market Size (US$ Mn) Analysis and Forecast By Region, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 11.1. Introduction
- 11.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 11.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 2029
- 11.3.1. By Country
- 11.3.1.1. U.S.
- 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 12.1. Introduction
- 12.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 12.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 13.1. Introduction
- 13.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 13.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 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. U.K.
- 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 14.1. Introduction
- 14.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 14.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 15.1. Introduction
- 15.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 15.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 16.1. Introduction
- 16.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 16.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 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 SQL Server Transformation Market Analysis 2014-2018 and Forecast 2019-2029
- 17.1. Introduction
- 17.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2014 - 2018
- 17.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2019 - 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
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