Master Data Management (MDM) Market Key Players Analysis 2031
The Master Data Management (MDM) Market is expected to register a CAGR of 15.5% from 2023 to 2031, with a market size expanding from US$ XX million in 2023 to US$ XX Million by 2031.
The Master Data Management (MDM) Market report covers analysis By Component (Solutions, Services); Deployment Type (Cloud, On-Premise); Enterprise Size (SMEs, Large Enterprises); Vertical (BFSI, IT and Telecommunication, Healthcare, Retail, Manufacturing, Others), and Geography.
Purpose of the ReportThe report Master Data Management (MDM) 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.
Master Data Management (MDM) Market Segmentation
Component- Solutions
- Services
- Cloud
- On-Premise
- SMEs
- Large Enterprises
- BFSI
- IT and Telecommunication
- Healthcare
- Retail
- Manufacturing
- Others
- BFSI
- IT and Telecommunication
- Healthcare
- Retail
- Manufacturing
- Others
Strategic Insights
Master Data Management (MDM) Market Growth Drivers- Complex Data Management Needs: As organizations are growing in volume, and producers of huge amounts of information from different sources, the complexity of such data requires appropriate management. MDM solutions offer businesses a single point of view of their data, integrating relevant information sourced from multiple systems, thus bringing about data quality and consistency improvement. The need for effective data governance has created a growing demand for MDM solutions.
- Compliance with Data Regulations: One such regulation is the strict data protection regulation such as GDPR and CCPA. Therefore, organizations have to comply with data management practices. MDM solutions can help ensure compliance by giving clear visibility into data lineage and governance processes, thus preventing costly fines and reputational damage associated with data breaches and non-compliance.
- AI and Cloud Integration in MDM: Advanced technology integration-Advanced technologies like AI, ML, and cloud computing are now integrated into MDM solutions. All this increases their ability to analyze the data better, automate even more complex tasks, and build scalability. All these innovations help an organization marshal data better and improve decision-making for quick responses to the changes happening in markets, thereby encouraging the adoption of MDM solutions.
- Cloud-Based MDM Solutions: The future of MDM will have cloud-based solutions more in vogue as organizations tend to be flexible, scalable, and cost-effective. Cloud MDM platforms will help organizations manage their master data with a lot more efficiency. Access to real-time data across geographically diverse locations and departments will streamline their master data management. This will also make the integration of other applications and services easier, allowing harmonious collaboration with access to data throughout the enterprise while reducing the workload involving on-premises infrastructure.
- AI and ML-Driven MDM: Master data management (MDM) systems will combine AI and ML, leading to the eventual change in how organizations deal with master data. AI and ML algorithms will automate some processes regarding data quality checks, deduplication, and data enrichment, thus significantly improving the integrity and reliability of master data. Organizations will gain a more profound insight into their data than ever before, to make decisions and also be better governed with regards to the data.
- MDM and Data Governance: The MDM market will focus more on data governance and compliance capabilities with increasingly stringent regulations, like GDPR and CCPA, in data privacy, which follows the line of organizations that search for MDM solutions able not only to centralize and manage master data but also offer rich data lineage tracking, access controls, and auditing capabilities. With this governance focus, it would thus be a way through which companies can ensure that their compliance with regulatory requirements is sustained while, at the same time, leveraging on responsible data management practices to build trust with customers.
- Data Governance in MDM: Since companies are facing an increasing number of regulatory directives related to data privacy and security, a strong need for better data governance solutions exists inside an MDM framework. Companies can take advantage of this by developing MDM platforms that not only deal with the master data but also have an intense aspect of governance such as tracking lineage across the data, monitoring compliance, and automated reporting, enabling organizations to be more in line with their expectations of regulatory compliance and having data integrity.
- Integration with Artificial Intelligence and Machine Learning: It is positioned uniquely because integration with AI and ML technologies in MDM is an opportunity to improve both the quality and usability of data. Such businesses can cleanse, deduplicate, and enrich data using algorithms from AI and ML, allowing much higher accuracy and completeness of master data. Thus, it will be easier for organizations to get actionable insights out of data, as solutions that incorporate AI/ML are highly attractive to potential customers.
- Industry-specific MDM solutions: many organizations will have specific issues in industry master data management, for instance, healthcare, finance, retail, and even manufacturing. Industry-specific MDM solutions would then be the competitive edge of such a hub by being suited to the unique needs of said industries regarding data management.
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Master Data Management (MDM) 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 Master Data Management (MDM) 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 FRAMEWORKHave a question?
Naveen
Naveen will walk you through a 15-minute call to present the report’s content and answer all queries if you have any.
Speak to Analyst- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
- 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
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The Master data management (MDM) Market is expected to register a CAGR of 15.5% from 2023-2031.
The main driving factors of the Master data management (MDM) Market are - Data Governance and Compliance Need, Growing Volume of Data, and Demand for Enhanced Data Quality
Key future trends in this market are - Cloud-based MDM solutions for scalable data management, AI-powered data integrity, governance, and compliance in MDM, advanced data lineage tracking and access controls.
Key companies in this market are: IBM Corporation, Informatica Corporation, Oracle Corporation, Profisee Group, Inc., Riversand Technologies, Inc., SAS Institute, Inc., SAP SE, Stibo Systems, Teradata Corporation
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 request are 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 Master Data Management (MDM) Market - By Component
1.3.2 Master Data Management (MDM) Market - By Deployment Type
1.3.3 Master Data Management (MDM) Market - By Enterprise Size
1.3.4 Master Data Management (MDM) Market - By Vertical
1.3.5 Master Data Management (MDM) Market - By Region
1.3.5.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. MASTER DATA MANAGEMENT (MDM) 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. MASTER DATA MANAGEMENT (MDM) 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. MASTER DATA MANAGEMENT (MDM) MARKET - GLOBAL MARKET ANALYSIS
6.1. MASTER DATA MANAGEMENT (MDM) - GLOBAL MARKET OVERVIEW
6.2. MASTER DATA MANAGEMENT (MDM) - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. MASTER DATA MANAGEMENT (MDM) 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
7.4. SERVICES
7.4.1. Overview
7.4.2. Services Market Forecast and Analysis
8. MASTER DATA MANAGEMENT (MDM) MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT TYPE
8.1. OVERVIEW
8.2. DEPLOYMENT TYPE MARKET FORECASTS AND ANALYSIS
8.3. CLOUD
8.3.1. Overview
8.3.2. Cloud Market Forecast and Analysis
8.4. ON-PREMISE
8.4.1. Overview
8.4.2. On-Premise Market Forecast and Analysis
9. MASTER DATA MANAGEMENT (MDM) MARKET - REVENUE AND FORECASTS TO 2028 - ENTERPRISE SIZE
9.1. OVERVIEW
9.2. ENTERPRISE SIZE MARKET FORECASTS AND ANALYSIS
9.3. SMES
9.3.1. Overview
9.3.2. SMEs Market Forecast and Analysis
9.4. LARGE ENTERPRISES
9.4.1. Overview
9.4.2. Large Enterprises Market Forecast and Analysis
10. MASTER DATA MANAGEMENT (MDM) MARKET - REVENUE AND FORECASTS TO 2028 - VERTICAL
10.1. OVERVIEW
10.2. VERTICAL MARKET FORECASTS AND ANALYSIS
10.3. BFSI
10.3.1. Overview
10.3.2. BFSI Market Forecast and Analysis
10.4. IT AND TELECOMMUNICATION
10.4.1. Overview
10.4.2. IT and Telecommunication Market Forecast and Analysis
10.5. HEALTHCARE
10.5.1. Overview
10.5.2. Healthcare Market Forecast and Analysis
10.6. RETAIL
10.6.1. Overview
10.6.2. Retail Market Forecast and Analysis
10.7. MANUFACTURING
10.7.1. Overview
10.7.2. Manufacturing Market Forecast and Analysis
10.8. OTHERS
10.8.1. Overview
10.8.2. Others Market Forecast and Analysis
11. MASTER DATA MANAGEMENT (MDM) MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
11.1. NORTH AMERICA
11.1.1 North America Master Data Management (MDM) Market Overview
11.1.2 North America Master Data Management (MDM) Market Forecasts and Analysis
11.1.3 North America Master Data Management (MDM) Market Forecasts and Analysis - By Component
11.1.4 North America Master Data Management (MDM) Market Forecasts and Analysis - By Deployment Type
11.1.5 North America Master Data Management (MDM) Market Forecasts and Analysis - By Enterprise Size
11.1.6 North America Master Data Management (MDM) Market Forecasts and Analysis - By Vertical
11.1.7 North America Master Data Management (MDM) Market Forecasts and Analysis - By Countries
11.1.7.1 United States Master Data Management (MDM) Market
11.1.7.1.1 United States Master Data Management (MDM) Market by Component
11.1.7.1.2 United States Master Data Management (MDM) Market by Deployment Type
11.1.7.1.3 United States Master Data Management (MDM) Market by Enterprise Size
11.1.7.1.4 United States Master Data Management (MDM) Market by Vertical
11.1.7.2 Canada Master Data Management (MDM) Market
11.1.7.2.1 Canada Master Data Management (MDM) Market by Component
11.1.7.2.2 Canada Master Data Management (MDM) Market by Deployment Type
11.1.7.2.3 Canada Master Data Management (MDM) Market by Enterprise Size
11.1.7.2.4 Canada Master Data Management (MDM) Market by Vertical
11.1.7.3 Mexico Master Data Management (MDM) Market
11.1.7.3.1 Mexico Master Data Management (MDM) Market by Component
11.1.7.3.2 Mexico Master Data Management (MDM) Market by Deployment Type
11.1.7.3.3 Mexico Master Data Management (MDM) Market by Enterprise Size
11.1.7.3.4 Mexico Master Data Management (MDM) Market by Vertical
11.2. EUROPE
11.2.1 Europe Master Data Management (MDM) Market Overview
11.2.2 Europe Master Data Management (MDM) Market Forecasts and Analysis
11.2.3 Europe Master Data Management (MDM) Market Forecasts and Analysis - By Component
11.2.4 Europe Master Data Management (MDM) Market Forecasts and Analysis - By Deployment Type
11.2.5 Europe Master Data Management (MDM) Market Forecasts and Analysis - By Enterprise Size
11.2.6 Europe Master Data Management (MDM) Market Forecasts and Analysis - By Vertical
11.2.7 Europe Master Data Management (MDM) Market Forecasts and Analysis - By Countries
11.2.7.1 Germany Master Data Management (MDM) Market
11.2.7.1.1 Germany Master Data Management (MDM) Market by Component
11.2.7.1.2 Germany Master Data Management (MDM) Market by Deployment Type
11.2.7.1.3 Germany Master Data Management (MDM) Market by Enterprise Size
11.2.7.1.4 Germany Master Data Management (MDM) Market by Vertical
11.2.7.2 France Master Data Management (MDM) Market
11.2.7.2.1 France Master Data Management (MDM) Market by Component
11.2.7.2.2 France Master Data Management (MDM) Market by Deployment Type
11.2.7.2.3 France Master Data Management (MDM) Market by Enterprise Size
11.2.7.2.4 France Master Data Management (MDM) Market by Vertical
11.2.7.3 Italy Master Data Management (MDM) Market
11.2.7.3.1 Italy Master Data Management (MDM) Market by Component
11.2.7.3.2 Italy Master Data Management (MDM) Market by Deployment Type
11.2.7.3.3 Italy Master Data Management (MDM) Market by Enterprise Size
11.2.7.3.4 Italy Master Data Management (MDM) Market by Vertical
11.2.7.4 United Kingdom Master Data Management (MDM) Market
11.2.7.4.1 United Kingdom Master Data Management (MDM) Market by Component
11.2.7.4.2 United Kingdom Master Data Management (MDM) Market by Deployment Type
11.2.7.4.3 United Kingdom Master Data Management (MDM) Market by Enterprise Size
11.2.7.4.4 United Kingdom Master Data Management (MDM) Market by Vertical
11.2.7.5 Russia Master Data Management (MDM) Market
11.2.7.5.1 Russia Master Data Management (MDM) Market by Component
11.2.7.5.2 Russia Master Data Management (MDM) Market by Deployment Type
11.2.7.5.3 Russia Master Data Management (MDM) Market by Enterprise Size
11.2.7.5.4 Russia Master Data Management (MDM) Market by Vertical
11.2.7.6 Rest of Europe Master Data Management (MDM) Market
11.2.7.6.1 Rest of Europe Master Data Management (MDM) Market by Component
11.2.7.6.2 Rest of Europe Master Data Management (MDM) Market by Deployment Type
11.2.7.6.3 Rest of Europe Master Data Management (MDM) Market by Enterprise Size
11.2.7.6.4 Rest of Europe Master Data Management (MDM) Market by Vertical
11.3. ASIA-PACIFIC
11.3.1 Asia-Pacific Master Data Management (MDM) Market Overview
11.3.2 Asia-Pacific Master Data Management (MDM) Market Forecasts and Analysis
11.3.3 Asia-Pacific Master Data Management (MDM) Market Forecasts and Analysis - By Component
11.3.4 Asia-Pacific Master Data Management (MDM) Market Forecasts and Analysis - By Deployment Type
11.3.5 Asia-Pacific Master Data Management (MDM) Market Forecasts and Analysis - By Enterprise Size
11.3.6 Asia-Pacific Master Data Management (MDM) Market Forecasts and Analysis - By Vertical
11.3.7 Asia-Pacific Master Data Management (MDM) Market Forecasts and Analysis - By Countries
11.3.7.1 Australia Master Data Management (MDM) Market
11.3.7.1.1 Australia Master Data Management (MDM) Market by Component
11.3.7.1.2 Australia Master Data Management (MDM) Market by Deployment Type
11.3.7.1.3 Australia Master Data Management (MDM) Market by Enterprise Size
11.3.7.1.4 Australia Master Data Management (MDM) Market by Vertical
11.3.7.2 China Master Data Management (MDM) Market
11.3.7.2.1 China Master Data Management (MDM) Market by Component
11.3.7.2.2 China Master Data Management (MDM) Market by Deployment Type
11.3.7.2.3 China Master Data Management (MDM) Market by Enterprise Size
11.3.7.2.4 China Master Data Management (MDM) Market by Vertical
11.3.7.3 India Master Data Management (MDM) Market
11.3.7.3.1 India Master Data Management (MDM) Market by Component
11.3.7.3.2 India Master Data Management (MDM) Market by Deployment Type
11.3.7.3.3 India Master Data Management (MDM) Market by Enterprise Size
11.3.7.3.4 India Master Data Management (MDM) Market by Vertical
11.3.7.4 Japan Master Data Management (MDM) Market
11.3.7.4.1 Japan Master Data Management (MDM) Market by Component
11.3.7.4.2 Japan Master Data Management (MDM) Market by Deployment Type
11.3.7.4.3 Japan Master Data Management (MDM) Market by Enterprise Size
11.3.7.4.4 Japan Master Data Management (MDM) Market by Vertical
11.3.7.5 South Korea Master Data Management (MDM) Market
11.3.7.5.1 South Korea Master Data Management (MDM) Market by Component
11.3.7.5.2 South Korea Master Data Management (MDM) Market by Deployment Type
11.3.7.5.3 South Korea Master Data Management (MDM) Market by Enterprise Size
11.3.7.5.4 South Korea Master Data Management (MDM) Market by Vertical
11.3.7.6 Rest of Asia-Pacific Master Data Management (MDM) Market
11.3.7.6.1 Rest of Asia-Pacific Master Data Management (MDM) Market by Component
11.3.7.6.2 Rest of Asia-Pacific Master Data Management (MDM) Market by Deployment Type
11.3.7.6.3 Rest of Asia-Pacific Master Data Management (MDM) Market by Enterprise Size
11.3.7.6.4 Rest of Asia-Pacific Master Data Management (MDM) Market by Vertical
11.4. MIDDLE EAST AND AFRICA
11.4.1 Middle East and Africa Master Data Management (MDM) Market Overview
11.4.2 Middle East and Africa Master Data Management (MDM) Market Forecasts and Analysis
11.4.3 Middle East and Africa Master Data Management (MDM) Market Forecasts and Analysis - By Component
11.4.4 Middle East and Africa Master Data Management (MDM) Market Forecasts and Analysis - By Deployment Type
11.4.5 Middle East and Africa Master Data Management (MDM) Market Forecasts and Analysis - By Enterprise Size
11.4.6 Middle East and Africa Master Data Management (MDM) Market Forecasts and Analysis - By Vertical
11.4.7 Middle East and Africa Master Data Management (MDM) Market Forecasts and Analysis - By Countries
11.4.7.1 South Africa Master Data Management (MDM) Market
11.4.7.1.1 South Africa Master Data Management (MDM) Market by Component
11.4.7.1.2 South Africa Master Data Management (MDM) Market by Deployment Type
11.4.7.1.3 South Africa Master Data Management (MDM) Market by Enterprise Size
11.4.7.1.4 South Africa Master Data Management (MDM) Market by Vertical
11.4.7.2 Saudi Arabia Master Data Management (MDM) Market
11.4.7.2.1 Saudi Arabia Master Data Management (MDM) Market by Component
11.4.7.2.2 Saudi Arabia Master Data Management (MDM) Market by Deployment Type
11.4.7.2.3 Saudi Arabia Master Data Management (MDM) Market by Enterprise Size
11.4.7.2.4 Saudi Arabia Master Data Management (MDM) Market by Vertical
11.4.7.3 U.A.E Master Data Management (MDM) Market
11.4.7.3.1 U.A.E Master Data Management (MDM) Market by Component
11.4.7.3.2 U.A.E Master Data Management (MDM) Market by Deployment Type
11.4.7.3.3 U.A.E Master Data Management (MDM) Market by Enterprise Size
11.4.7.3.4 U.A.E Master Data Management (MDM) Market by Vertical
11.4.7.4 Rest of Middle East and Africa Master Data Management (MDM) Market
11.4.7.4.1 Rest of Middle East and Africa Master Data Management (MDM) Market by Component
11.4.7.4.2 Rest of Middle East and Africa Master Data Management (MDM) Market by Deployment Type
11.4.7.4.3 Rest of Middle East and Africa Master Data Management (MDM) Market by Enterprise Size
11.4.7.4.4 Rest of Middle East and Africa Master Data Management (MDM) Market by Vertical
11.5. SOUTH AND CENTRAL AMERICA
11.5.1 South and Central America Master Data Management (MDM) Market Overview
11.5.2 South and Central America Master Data Management (MDM) Market Forecasts and Analysis
11.5.3 South and Central America Master Data Management (MDM) Market Forecasts and Analysis - By Component
11.5.4 South and Central America Master Data Management (MDM) Market Forecasts and Analysis - By Deployment Type
11.5.5 South and Central America Master Data Management (MDM) Market Forecasts and Analysis - By Enterprise Size
11.5.6 South and Central America Master Data Management (MDM) Market Forecasts and Analysis - By Vertical
11.5.7 South and Central America Master Data Management (MDM) Market Forecasts and Analysis - By Countries
11.5.7.1 Brazil Master Data Management (MDM) Market
11.5.7.1.1 Brazil Master Data Management (MDM) Market by Component
11.5.7.1.2 Brazil Master Data Management (MDM) Market by Deployment Type
11.5.7.1.3 Brazil Master Data Management (MDM) Market by Enterprise Size
11.5.7.1.4 Brazil Master Data Management (MDM) Market by Vertical
11.5.7.2 Argentina Master Data Management (MDM) Market
11.5.7.2.1 Argentina Master Data Management (MDM) Market by Component
11.5.7.2.2 Argentina Master Data Management (MDM) Market by Deployment Type
11.5.7.2.3 Argentina Master Data Management (MDM) Market by Enterprise Size
11.5.7.2.4 Argentina Master Data Management (MDM) Market by Vertical
11.5.7.3 Rest of South and Central America Master Data Management (MDM) Market
11.5.7.3.1 Rest of South and Central America Master Data Management (MDM) Market by Component
11.5.7.3.2 Rest of South and Central America Master Data Management (MDM) Market by Deployment Type
11.5.7.3.3 Rest of South and Central America Master Data Management (MDM) Market by Enterprise Size
11.5.7.3.4 Rest of South and Central America Master Data Management (MDM) Market by Vertical
12. INDUSTRY LANDSCAPE
12.1. MERGERS AND ACQUISITIONS
12.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3. NEW PRODUCT LAUNCHES
12.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
13. MASTER DATA MANAGEMENT (MDM) MARKET, KEY COMPANY PROFILES
13.1. IBM CORPORATION
13.1.1. Key Facts
13.1.2. Business Description
13.1.3. Products and Services
13.1.4. Financial Overview
13.1.5. SWOT Analysis
13.1.6. Key Developments
13.2. INFORMATICA CORPORATION
13.2.1. Key Facts
13.2.2. Business Description
13.2.3. Products and Services
13.2.4. Financial Overview
13.2.5. SWOT Analysis
13.2.6. Key Developments
13.3. ORACLE CORPORATION
13.3.1. Key Facts
13.3.2. Business Description
13.3.3. Products and Services
13.3.4. Financial Overview
13.3.5. SWOT Analysis
13.3.6. Key Developments
13.4. PROFISEE GROUP, INC.
13.4.1. Key Facts
13.4.2. Business Description
13.4.3. Products and Services
13.4.4. Financial Overview
13.4.5. SWOT Analysis
13.4.6. Key Developments
13.5. RIVERSAND TECHNOLOGIES, INC.
13.5.1. Key Facts
13.5.2. Business Description
13.5.3. Products and Services
13.5.4. Financial Overview
13.5.5. SWOT Analysis
13.5.6. Key Developments
13.6. SAS INSTITUTE, INC.
13.6.1. Key Facts
13.6.2. Business Description
13.6.3. Products and Services
13.6.4. Financial Overview
13.6.5. SWOT Analysis
13.6.6. Key Developments
13.7. SAP SE
13.7.1. Key Facts
13.7.2. Business Description
13.7.3. Products and Services
13.7.4. Financial Overview
13.7.5. SWOT Analysis
13.7.6. Key Developments
13.8. STIBO SYSTEMS
13.8.1. Key Facts
13.8.2. Business Description
13.8.3. Products and Services
13.8.4. Financial Overview
13.8.5. SWOT Analysis
13.8.6. Key Developments
13.9. TERADATA CORPORATION
13.9.1. Key Facts
13.9.2. Business Description
13.9.3. Products and Services
13.9.4. Financial Overview
13.9.5. SWOT Analysis
13.9.6. Key Developments
13.10. TIBCO SOFTWARE INC.
13.10.1. Key Facts
13.10.2. Business Description
13.10.3. Products and Services
13.10.4. Financial Overview
13.10.5. SWOT Analysis
13.10.6. Key Developments
14. APPENDIX
14.1. ABOUT THE INSIGHT PARTNERS
14.2. GLOSSARY OF TERMS
1. IBM Corporation
2. Informatica Corporation
3. Oracle Corporation
4. Profisee Group, Inc.
5. Riversand Technologies, Inc.
6. SAS Institute, Inc.
7. SAP SE
8. Stibo Systems
9. Teradata Corporation
10. TIBCO Software Inc.
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.