Database Automation Market Forecast, Trends, Scope by 2031
The Database Automation Market is expected to register a CAGR of 24.5% from 2023 to 2031, with a market size expanding from US$ XX million in 2023 to US$ XX Million by 2031.
The report is segmented by Component (Solutions, Services); Application (Provisioning, Backup, Security and Compliance); Deployment Mode (Cloud, On-Premises); Enterprise Size (Large Enterprises, SMEs); Vertical (Manufacturing, Healthcare, BFSI, Research and Academia, Media and Entertainment, Retail and E-commerce, Government and Defense, Telecom and IT, Others); Geography (North America, Europe, Asia-Pacific, Middle East & Africa, South and Central America).
The global analysis is further broken-down at regional level and major countries. The report offers the value in USD for the above analysis and segments
The report Database Automation Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
Database Automation Market Segmentation
Component- Solutions
- Services
- Provisioning
- Backup
- Security and Compliance
- Cloud
- On-Premises
- Large Enterprises
- SMEs
- Large Enterprises
- SMEs
Strategic Insights
Database Automation Market Growth Drivers- Increasing Complexity of Database Environments: As organizations embrace more complex database architectures, including multi-cloud and hybrid environments, managing these systems becomes increasingly challenging. The need for effective configuration, monitoring, and maintenance of databases drives the demand for database automation solutions. Automation tools streamline database management tasks, reducing the manual effort required to ensure optimal performance, security, and availability of databases. This complexity is a primary driver behind the adoption of database automation technologies.
- Demand for High Operating Efficiency: Organizations are always looking to enhance operational efficiency and reduce cost related to database management. Time-consuming and error-prone processes in database administration lead to more overhead in operations. Organizations can free up database administrators from mundane tasks like backup, patching, and performance tuning through database automation solutions. The quest for operational efficiency is a major market driver for the growth of the database automation market.
- Rise of Self-Service Database Automation: There is a growing trend toward self-service database automation, enabling database users to perform management tasks without heavy reliance on IT teams. Self-service platforms allow users to automate routine tasks—such as provisioning, scaling, and performance monitoring—through intuitive interfaces and low-code/no-code solutions. This trend empowers business units to take ownership of their database environments, resulting in improved agility and faster response times to business needs.
- Automated Database Provisioning and Scaling: Automation tools are increasingly being used to provision and scale databases dynamically based on demand. Cloud-native databases, in particular, benefit from this trend, automatically adjusting to fluctuations in data load, traffic, or resource requirements. Automated provisioning reduces the time spent manually configuring databases, enabling faster deployment. Additionally, scaling automation ensures that databases remain performant as user demands increase, optimizing cost-efficiency and resource utilization across the database lifecycle.
- Integration with Cloud Database Services: The move to cloud computing offers a lot of opportunities for the database automation market. As organizations shift their databases to cloud environments, it is creating a need to automate solutions that can operate cloud databases seamlessly. Companies that offer database automation products specifically for cloud services would be able to capitalize on such demand, enabling organizations to reap the benefits of scalability and flexibility and cost savings while not sacrificing manageability.
- Expansion of AI and Machine Learning Applications: The incorporation of AI and machine learning in the database automation has the scope of immense growth as they help boost the process through predictive maintenance, anomaly detection, and optimized intelligent data handling. Companies who intend to boost up the database efficiency and robustness have this chance, with this providing a comparative advantage to a firm over other market entities.
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Database Automation Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the Database Automation Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
REGIONAL FRAMEWORK
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
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to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
Frequently Asked Questions
The Database Automation Market is estimated to witness a CAGR of 24.5% from 2023 to 2031
Increasing Complexity of Database Environments and Demand for High Operating Efficiency are the major factors driving the Database Automation Market
Rise of Self-Service Database Automation is anticipated to play a significant role in the global Database Automation Market in the coming years
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request
Some of the customization options available based on the request are an additional 3-5 company profiles and country-specific analysis of 3-5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Database Automation Market - By Component
1.3.2 Database Automation Market - By Application
1.3.3 Database Automation Market - By Deployment Mode
1.3.4 Database Automation Market - By Enterprise Size
1.3.5 Database Automation Market - By Vertical
1.3.6 Database Automation Market - By Region
1.3.6.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. DATABASE AUTOMATION MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. DATABASE AUTOMATION MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. DATABASE AUTOMATION MARKET - GLOBAL MARKET ANALYSIS
6.1. DATABASE AUTOMATION - GLOBAL MARKET OVERVIEW
6.2. DATABASE AUTOMATION - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. DATABASE AUTOMATION MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENT
7.1. OVERVIEW
7.2. COMPONENT MARKET FORECASTS AND ANALYSIS
7.3. SOLUTIONS
7.3.1. Overview
7.3.2. Solutions Market Forecast and Analysis
7.3.3. Database Design and Configuration Automation Market
7.3.3.1. Overview
7.3.3.2. Database Design and Configuration Automation Market Forecast and Analysis
7.3.4. Database Patch and Release Automation Market
7.3.4.1. Overview
7.3.4.2. Database Patch and Release Automation Market Forecast and Analysis
7.3.5. Application Release Automation Market
7.3.5.1. Overview
7.3.5.2. Application Release Automation Market Forecast and Analysis
7.3.6. Database Test Automation Market
7.3.6.1. Overview
7.3.6.2. Database Test Automation Market Forecast and Analysis
7.4. SERVICES
7.4.1. Overview
7.4.2. Services Market Forecast and Analysis
7.4.3. Professional Services Market
7.4.3.1. Overview
7.4.3.2. Professional Services Market Forecast and Analysis
7.4.4. Managed Services Market
7.4.4.1. Overview
7.4.4.2. Managed Services Market Forecast and Analysis
8. DATABASE AUTOMATION MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
8.1. OVERVIEW
8.2. APPLICATION MARKET FORECASTS AND ANALYSIS
8.3. PROVISIONING
8.3.1. Overview
8.3.2. Provisioning Market Forecast and Analysis
8.4. BACKUP
8.4.1. Overview
8.4.2. Backup Market Forecast and Analysis
8.5. SECURITY AND COMPLIANCE
8.5.1. Overview
8.5.2. Security and Compliance Market Forecast and Analysis
9. DATABASE AUTOMATION MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT MODE
9.1. OVERVIEW
9.2. DEPLOYMENT MODE MARKET FORECASTS AND ANALYSIS
9.3. CLOUD
9.3.1. Overview
9.3.2. Cloud Market Forecast and Analysis
9.4. ON-PREMISES
9.4.1. Overview
9.4.2. On-Premises Market Forecast and Analysis
10. DATABASE AUTOMATION MARKET - REVENUE AND FORECASTS TO 2028 - ENTERPRISE SIZE
10.1. OVERVIEW
10.2. ENTERPRISE SIZE MARKET FORECASTS AND ANALYSIS
10.3. LARGE ENTERPRISES
10.3.1. Overview
10.3.2. Large Enterprises Market Forecast and Analysis
10.4. SMES
10.4.1. Overview
10.4.2. SMEs Market Forecast and Analysis
11. DATABASE AUTOMATION MARKET - REVENUE AND FORECASTS TO 2028 - VERTICAL
11.1. OVERVIEW
11.2. VERTICAL MARKET FORECASTS AND ANALYSIS
11.3. MANUFACTURING
11.3.1. Overview
11.3.2. Manufacturing Market Forecast and Analysis
11.4. HEALTHCARE
11.4.1. Overview
11.4.2. Healthcare Market Forecast and Analysis
11.5. BFSI
11.5.1. Overview
11.5.2. BFSI Market Forecast and Analysis
11.6. RESEARCH AND ACADEMIA
11.6.1. Overview
11.6.2. Research and Academia Market Forecast and Analysis
11.7. MEDIA AND ENTERTAINMENT
11.7.1. Overview
11.7.2. Media and Entertainment Market Forecast and Analysis
11.8. RETAIL AND E-COMMERCE
11.8.1. Overview
11.8.2. Retail and E-commerce Market Forecast and Analysis
11.9. GOVERNMENT AND DEFENSE
11.9.1. Overview
11.9.2. Government and Defense Market Forecast and Analysis
11.10. TELECOM AND IT
11.10.1. Overview
11.10.2. Telecom and IT Market Forecast and Analysis
11.11. OTHERS
11.11.1. Overview
11.11.2. Others Market Forecast and Analysis
12. DATABASE AUTOMATION MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
12.1. NORTH AMERICA
12.1.1 North America Database Automation Market Overview
12.1.2 North America Database Automation Market Forecasts and Analysis
12.1.3 North America Database Automation Market Forecasts and Analysis - By Component
12.1.4 North America Database Automation Market Forecasts and Analysis - By Application
12.1.5 North America Database Automation Market Forecasts and Analysis - By Deployment Mode
12.1.6 North America Database Automation Market Forecasts and Analysis - By Enterprise Size
12.1.7 North America Database Automation Market Forecasts and Analysis - By Vertical
12.1.8 North America Database Automation Market Forecasts and Analysis - By Countries
12.1.8.1 United States Database Automation Market
12.1.8.1.1 United States Database Automation Market by Component
12.1.8.1.2 United States Database Automation Market by Application
12.1.8.1.3 United States Database Automation Market by Deployment Mode
12.1.8.1.4 United States Database Automation Market by Enterprise Size
12.1.8.1.5 United States Database Automation Market by Vertical
12.1.8.2 Canada Database Automation Market
12.1.8.2.1 Canada Database Automation Market by Component
12.1.8.2.2 Canada Database Automation Market by Application
12.1.8.2.3 Canada Database Automation Market by Deployment Mode
12.1.8.2.4 Canada Database Automation Market by Enterprise Size
12.1.8.2.5 Canada Database Automation Market by Vertical
12.1.8.3 Mexico Database Automation Market
12.1.8.3.1 Mexico Database Automation Market by Component
12.1.8.3.2 Mexico Database Automation Market by Application
12.1.8.3.3 Mexico Database Automation Market by Deployment Mode
12.1.8.3.4 Mexico Database Automation Market by Enterprise Size
12.1.8.3.5 Mexico Database Automation Market by Vertical
12.2. EUROPE
12.2.1 Europe Database Automation Market Overview
12.2.2 Europe Database Automation Market Forecasts and Analysis
12.2.3 Europe Database Automation Market Forecasts and Analysis - By Component
12.2.4 Europe Database Automation Market Forecasts and Analysis - By Application
12.2.5 Europe Database Automation Market Forecasts and Analysis - By Deployment Mode
12.2.6 Europe Database Automation Market Forecasts and Analysis - By Enterprise Size
12.2.7 Europe Database Automation Market Forecasts and Analysis - By Vertical
12.2.8 Europe Database Automation Market Forecasts and Analysis - By Countries
12.2.8.1 Germany Database Automation Market
12.2.8.1.1 Germany Database Automation Market by Component
12.2.8.1.2 Germany Database Automation Market by Application
12.2.8.1.3 Germany Database Automation Market by Deployment Mode
12.2.8.1.4 Germany Database Automation Market by Enterprise Size
12.2.8.1.5 Germany Database Automation Market by Vertical
12.2.8.2 France Database Automation Market
12.2.8.2.1 France Database Automation Market by Component
12.2.8.2.2 France Database Automation Market by Application
12.2.8.2.3 France Database Automation Market by Deployment Mode
12.2.8.2.4 France Database Automation Market by Enterprise Size
12.2.8.2.5 France Database Automation Market by Vertical
12.2.8.3 Italy Database Automation Market
12.2.8.3.1 Italy Database Automation Market by Component
12.2.8.3.2 Italy Database Automation Market by Application
12.2.8.3.3 Italy Database Automation Market by Deployment Mode
12.2.8.3.4 Italy Database Automation Market by Enterprise Size
12.2.8.3.5 Italy Database Automation Market by Vertical
12.2.8.4 United Kingdom Database Automation Market
12.2.8.4.1 United Kingdom Database Automation Market by Component
12.2.8.4.2 United Kingdom Database Automation Market by Application
12.2.8.4.3 United Kingdom Database Automation Market by Deployment Mode
12.2.8.4.4 United Kingdom Database Automation Market by Enterprise Size
12.2.8.4.5 United Kingdom Database Automation Market by Vertical
12.2.8.5 Russia Database Automation Market
12.2.8.5.1 Russia Database Automation Market by Component
12.2.8.5.2 Russia Database Automation Market by Application
12.2.8.5.3 Russia Database Automation Market by Deployment Mode
12.2.8.5.4 Russia Database Automation Market by Enterprise Size
12.2.8.5.5 Russia Database Automation Market by Vertical
12.2.8.6 Rest of Europe Database Automation Market
12.2.8.6.1 Rest of Europe Database Automation Market by Component
12.2.8.6.2 Rest of Europe Database Automation Market by Application
12.2.8.6.3 Rest of Europe Database Automation Market by Deployment Mode
12.2.8.6.4 Rest of Europe Database Automation Market by Enterprise Size
12.2.8.6.5 Rest of Europe Database Automation Market by Vertical
12.3. ASIA-PACIFIC
12.3.1 Asia-Pacific Database Automation Market Overview
12.3.2 Asia-Pacific Database Automation Market Forecasts and Analysis
12.3.3 Asia-Pacific Database Automation Market Forecasts and Analysis - By Component
12.3.4 Asia-Pacific Database Automation Market Forecasts and Analysis - By Application
12.3.5 Asia-Pacific Database Automation Market Forecasts and Analysis - By Deployment Mode
12.3.6 Asia-Pacific Database Automation Market Forecasts and Analysis - By Enterprise Size
12.3.7 Asia-Pacific Database Automation Market Forecasts and Analysis - By Vertical
12.3.8 Asia-Pacific Database Automation Market Forecasts and Analysis - By Countries
12.3.8.1 Australia Database Automation Market
12.3.8.1.1 Australia Database Automation Market by Component
12.3.8.1.2 Australia Database Automation Market by Application
12.3.8.1.3 Australia Database Automation Market by Deployment Mode
12.3.8.1.4 Australia Database Automation Market by Enterprise Size
12.3.8.1.5 Australia Database Automation Market by Vertical
12.3.8.2 China Database Automation Market
12.3.8.2.1 China Database Automation Market by Component
12.3.8.2.2 China Database Automation Market by Application
12.3.8.2.3 China Database Automation Market by Deployment Mode
12.3.8.2.4 China Database Automation Market by Enterprise Size
12.3.8.2.5 China Database Automation Market by Vertical
12.3.8.3 India Database Automation Market
12.3.8.3.1 India Database Automation Market by Component
12.3.8.3.2 India Database Automation Market by Application
12.3.8.3.3 India Database Automation Market by Deployment Mode
12.3.8.3.4 India Database Automation Market by Enterprise Size
12.3.8.3.5 India Database Automation Market by Vertical
12.3.8.4 Japan Database Automation Market
12.3.8.4.1 Japan Database Automation Market by Component
12.3.8.4.2 Japan Database Automation Market by Application
12.3.8.4.3 Japan Database Automation Market by Deployment Mode
12.3.8.4.4 Japan Database Automation Market by Enterprise Size
12.3.8.4.5 Japan Database Automation Market by Vertical
12.3.8.5 South Korea Database Automation Market
12.3.8.5.1 South Korea Database Automation Market by Component
12.3.8.5.2 South Korea Database Automation Market by Application
12.3.8.5.3 South Korea Database Automation Market by Deployment Mode
12.3.8.5.4 South Korea Database Automation Market by Enterprise Size
12.3.8.5.5 South Korea Database Automation Market by Vertical
12.3.8.6 Rest of Asia-Pacific Database Automation Market
12.3.8.6.1 Rest of Asia-Pacific Database Automation Market by Component
12.3.8.6.2 Rest of Asia-Pacific Database Automation Market by Application
12.3.8.6.3 Rest of Asia-Pacific Database Automation Market by Deployment Mode
12.3.8.6.4 Rest of Asia-Pacific Database Automation Market by Enterprise Size
12.3.8.6.5 Rest of Asia-Pacific Database Automation Market by Vertical
12.4. MIDDLE EAST AND AFRICA
12.4.1 Middle East and Africa Database Automation Market Overview
12.4.2 Middle East and Africa Database Automation Market Forecasts and Analysis
12.4.3 Middle East and Africa Database Automation Market Forecasts and Analysis - By Component
12.4.4 Middle East and Africa Database Automation Market Forecasts and Analysis - By Application
12.4.5 Middle East and Africa Database Automation Market Forecasts and Analysis - By Deployment Mode
12.4.6 Middle East and Africa Database Automation Market Forecasts and Analysis - By Enterprise Size
12.4.7 Middle East and Africa Database Automation Market Forecasts and Analysis - By Vertical
12.4.8 Middle East and Africa Database Automation Market Forecasts and Analysis - By Countries
12.4.8.1 South Africa Database Automation Market
12.4.8.1.1 South Africa Database Automation Market by Component
12.4.8.1.2 South Africa Database Automation Market by Application
12.4.8.1.3 South Africa Database Automation Market by Deployment Mode
12.4.8.1.4 South Africa Database Automation Market by Enterprise Size
12.4.8.1.5 South Africa Database Automation Market by Vertical
12.4.8.2 Saudi Arabia Database Automation Market
12.4.8.2.1 Saudi Arabia Database Automation Market by Component
12.4.8.2.2 Saudi Arabia Database Automation Market by Application
12.4.8.2.3 Saudi Arabia Database Automation Market by Deployment Mode
12.4.8.2.4 Saudi Arabia Database Automation Market by Enterprise Size
12.4.8.2.5 Saudi Arabia Database Automation Market by Vertical
12.4.8.3 U.A.E Database Automation Market
12.4.8.3.1 U.A.E Database Automation Market by Component
12.4.8.3.2 U.A.E Database Automation Market by Application
12.4.8.3.3 U.A.E Database Automation Market by Deployment Mode
12.4.8.3.4 U.A.E Database Automation Market by Enterprise Size
12.4.8.3.5 U.A.E Database Automation Market by Vertical
12.4.8.4 Rest of Middle East and Africa Database Automation Market
12.4.8.4.1 Rest of Middle East and Africa Database Automation Market by Component
12.4.8.4.2 Rest of Middle East and Africa Database Automation Market by Application
12.4.8.4.3 Rest of Middle East and Africa Database Automation Market by Deployment Mode
12.4.8.4.4 Rest of Middle East and Africa Database Automation Market by Enterprise Size
12.4.8.4.5 Rest of Middle East and Africa Database Automation Market by Vertical
12.5. SOUTH AND CENTRAL AMERICA
12.5.1 South and Central America Database Automation Market Overview
12.5.2 South and Central America Database Automation Market Forecasts and Analysis
12.5.3 South and Central America Database Automation Market Forecasts and Analysis - By Component
12.5.4 South and Central America Database Automation Market Forecasts and Analysis - By Application
12.5.5 South and Central America Database Automation Market Forecasts and Analysis - By Deployment Mode
12.5.6 South and Central America Database Automation Market Forecasts and Analysis - By Enterprise Size
12.5.7 South and Central America Database Automation Market Forecasts and Analysis - By Vertical
12.5.8 South and Central America Database Automation Market Forecasts and Analysis - By Countries
12.5.8.1 Brazil Database Automation Market
12.5.8.1.1 Brazil Database Automation Market by Component
12.5.8.1.2 Brazil Database Automation Market by Application
12.5.8.1.3 Brazil Database Automation Market by Deployment Mode
12.5.8.1.4 Brazil Database Automation Market by Enterprise Size
12.5.8.1.5 Brazil Database Automation Market by Vertical
12.5.8.2 Argentina Database Automation Market
12.5.8.2.1 Argentina Database Automation Market by Component
12.5.8.2.2 Argentina Database Automation Market by Application
12.5.8.2.3 Argentina Database Automation Market by Deployment Mode
12.5.8.2.4 Argentina Database Automation Market by Enterprise Size
12.5.8.2.5 Argentina Database Automation Market by Vertical
12.5.8.3 Rest of South and Central America Database Automation Market
12.5.8.3.1 Rest of South and Central America Database Automation Market by Component
12.5.8.3.2 Rest of South and Central America Database Automation Market by Application
12.5.8.3.3 Rest of South and Central America Database Automation Market by Deployment Mode
12.5.8.3.4 Rest of South and Central America Database Automation Market by Enterprise Size
12.5.8.3.5 Rest of South and Central America Database Automation Market by Vertical
13. INDUSTRY LANDSCAPE
13.1. MERGERS AND ACQUISITIONS
13.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
13.3. NEW PRODUCT LAUNCHES
13.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
14. DATABASE AUTOMATION MARKET, KEY COMPANY PROFILES
14.1. AMAZON WEB SERVICES, INC.
14.1.1. Key Facts
14.1.2. Business Description
14.1.3. Products and Services
14.1.4. Financial Overview
14.1.5. SWOT Analysis
14.1.6. Key Developments
14.2. BMC SOFTWARE, INC.
14.2.1. Key Facts
14.2.2. Business Description
14.2.3. Products and Services
14.2.4. Financial Overview
14.2.5. SWOT Analysis
14.2.6. Key Developments
14.3. DATAVAIL
14.3.1. Key Facts
14.3.2. Business Description
14.3.3. Products and Services
14.3.4. Financial Overview
14.3.5. SWOT Analysis
14.3.6. Key Developments
14.4. DBMAESTRO
14.4.1. Key Facts
14.4.2. Business Description
14.4.3. Products and Services
14.4.4. Financial Overview
14.4.5. SWOT Analysis
14.4.6. Key Developments
14.5. IBM
14.5.1. Key Facts
14.5.2. Business Description
14.5.3. Products and Services
14.5.4. Financial Overview
14.5.5. SWOT Analysis
14.5.6. Key Developments
14.6. MICRO FOCUS
14.6.1. Key Facts
14.6.2. Business Description
14.6.3. Products and Services
14.6.4. Financial Overview
14.6.5. SWOT Analysis
14.6.6. Key Developments
14.7. MICROSOFT
14.7.1. Key Facts
14.7.2. Business Description
14.7.3. Products and Services
14.7.4. Financial Overview
14.7.5. SWOT Analysis
14.7.6. Key Developments
14.8. ORACLE
14.8.1. Key Facts
14.8.2. Business Description
14.8.3. Products and Services
14.8.4. Financial Overview
14.8.5. SWOT Analysis
14.8.6. Key Developments
14.9. PERCONA
14.9.1. Key Facts
14.9.2. Business Description
14.9.3. Products and Services
14.9.4. Financial Overview
14.9.5. SWOT Analysis
14.9.6. Key Developments
14.10. SEVERALNINES AB
14.10.1. Key Facts
14.10.2. Business Description
14.10.3. Products and Services
14.10.4. Financial Overview
14.10.5. SWOT Analysis
14.10.6. Key Developments
15. APPENDIX
15.1. ABOUT THE INSIGHT PARTNERS
15.2. GLOSSARY OF TERMS
- Amazon Web Services, Inc.
- BMC Software, Inc.
- Datavail
- DBmaestro
- IBM
- Micro Focus
- Microsoft
- Oracle
- Percona
- Severalnines AB
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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