Research Methodology – Graph Database Market
At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Graph Database Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Graph Database Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Number of existing and prospective users of graph database technology.
- Revenue earned from sales, subscription, and other services related to graph database technology.
- Technological advancements and adoption rate of graph database technology.
- Market reach of vendors and their competitive landscape.
- Investment in research and development of graph databases from both private and public sectors.
- Growth and trend of related markets such as big data and data visualization.
- Regional demand and adoption pattern of graph database technology.
Key Market Indicators
- Gross Domestic Product (GDP) growth rate of the countries dominating the market.
- Changes in IT infrastructure spending worldwide.
- Investments in artificial intelligence and machine learning advancements, as these strongly correlate with the need for advanced databases.
- Rate of digitization of businesses and modernization of database systems.
- Investment by key tech players in graph database technologies and start-ups.
Growth Trends
- Increased adoption of graph databases in the healthcare industry for data management and predictive analysis.
- Incorporation of AI and machine learning with graph databases.
- Growth of graph database solutions within the e-commerce sector for recommendation engines.
- Emergence of graph database-as-a-service, providing more businesses with access to this technology.
- Increased use of graph databases in the cybersecurity industry for detecting and preventing threats.
Secondary Research
Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Graph Database Market. Key inputs include:
Company-Level Information
- Annual reports, investor presentations, SEC filings
- Company press releases and product launch announcements
- Public executive interviews and earnings calls
- Strategy briefings and M&A updates
Industry and Government Sources
- Country-level industry associations and trade bodies
- Government dossiers, policy frameworks, and official releases
- Whitepapers, working papers, and public R&D initiatives
- Relevant Associations for the Graph Database Market
Market Intelligence Sources
- Broker reports and financial analyst coverage
- Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
- Import/export trade data and tariff databases
- Sector-specific journals, magazines, and news portals
Macro & Consumer Insights
- Global macroeconomic indicators and their cascading effect on the industry
- Demand–supply outlook and value chain analysis
- Consumer behaviour, adoption rates, and commercialization trends
Primary Research
To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:
Expert Insights & KOL Engagements
- Key Opinion Leader (KOL) Engagements
- Structured interviews with executives, product managers, and domain experts
- Paid and barter-based interviews across manufacturers, distributors, and end-users
Focused Discussions & Panels
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
- Cross-verification of market sizing and forecasts with industry insiders
- Capturing business perspectives on growth opportunities and restraints
Data Triangulation & Forecasting
The final step of our research involves data triangulation ensuring accuracy through cross-verification of:
- Demand-side analysis (consumption patterns, adoption trends, customer spending)
- Supply-side analysis (production, capacity, distribution, and market availability)
- Macroeconomic & microeconomic impact factors
Forecasting is carried out using proprietary models that combine:
- Time-series analysis
- Regression and correlation studies
- Baseline modeling
- Expert validation at each stage
Outcome
The outcome is a comprehensive and validated market model that captures:
- Market sizing (historical, current, forecast)
- Growth drivers and restraints
- Opportunity mapping and investment hotspots
- Competitive positioning and strategic insights