Online Fantasy Gaming Market Size, Share,Trends & Growth Chart by 2033

Research Methodology – Online Fantasy Gaming 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 Online Fantasy Gaming Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Online Fantasy Gaming Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share:

Number of active users on different platforms.
Revenue generated by various online fantasy gaming platforms.
Variety of games offered by different platforms.
Pricing models and subscription rates.
Investment in the online fantasy gaming industry.
Mergers and acquisitions in the industry.
Geographical distribution of users.

Key Market Indicators:

Revenue growth year-over-year.
Number of new users acquired.
Churn rates i.e. number of users left.
Average spending per user.
User engagement across different locations.
Market share of top platforms.
Trends in user preference and behavior.

Growth Trends:

Increasing interest and involvement in fantasy sports worldwide.
Growth in mobile gaming and apps.
Expansion of eSports and professional gaming.
Increasing use of AI technology in game development.
Integration of Virtual Reality (VR) and Augmented Reality (AR) technologies in games.
Increasing trend towards freemium models where the game is free but extra features or options are paid.

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 Online Fantasy Gaming 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 Online Fantasy Gaming 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: