Research Methodology – Fantasy Sports 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 Fantasy Sports Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Fantasy Sports Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- The total number of active players participating in fantasy sports.
- The rate of new players joining fantasy sports platforms.
- Revenue generated from different channels, such as subscriptions, ads, and purchases within the platform.
- Number and size of organizations providing fantasy sports platforms.
- Regional breakdown of the market, taking into account varying popularity and accessibility of fantasy sports in different countries or regions.
- Demographics of players, such as age, gender, and income levels.
Key Market Indicators
- Revenue growth of the market year-over-year.
- Changes in the number of active players.
- Emergence of new players in the market.
- Technological advancements in software and app development.
- Sports seasons and events schedule, as they often correlate with peaks in fantasy sports participation.
- Trends in smartphone and internet usage, as most players access fantasy sports through these mediums.
Growth Trends
- Increasing popularity and acceptance of fantasy sports around the world.
- Growth in the use of mobile devices and apps for gaming.
- Emergence of new markets in regions where fantasy sports were previously unpopular or inaccessible.
- Growth in partnerships between fantasy sports platforms and sports leagues or broadcasters.
- Increasing diversification in sport types in fantasy games, from traditional sports like football and basketball to new areas such as esports and mixed martial arts.
- Technological advancements, such as the use of artificial intelligence and machine learning in game development and player analytics.
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 Fantasy Sports Market. Key inputs include:
- 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
- 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 Fantasy Sports Market
- 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
- 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:
- 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
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
- 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
- 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
Available for purchase with detailed segment data, forecasts, and regional insights.
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