Market Insights Advertising & Media Sports

American Football - India

India

Revenue in the American Football market is projected to reach €29.86m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.13%, resulting in a projected market volume of €34.83m by 2029.
In global comparison, most revenue will be generated in the United States (€23,960.00m in 2024).
The average revenue per user (ARPU) in the American Football market is projected to amount to €7.19 in 2024.
In the American Football market, the number of users is expected to amount to 4.5m users by 2029.
User penetration in the American Football market will be at 0.3% in 2024.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The American Football market in India is experiencing minimal growth due to a limited interest in the sport and lack of investment in sub-markets such as media, merchandise, and ticket sales. Factors such as the dominance of cricket and the high cost of entry for American Football are impacting the markets growth rate. However, with increased awareness and potential for digitalization, the market may see a boost in the future.

Customer preferences: As interest in American football continues to grow in India, there has been a noticeable increase in the popularity of American football merchandise and apparel among young adults. This trend can be attributed to the influence of American pop culture and the desire for western fashion trends. Additionally, digital streaming services have made it easier for fans in India to follow their favorite American football teams and games, further driving the demand for related products.

Trends in the market: In India, the American Football market is experiencing a rise in popularity, with the formation of new leagues and the increasing participation of youth in the sport. Meanwhile, the American Football market in the United States continues to dominate, with record-breaking TV ratings and a loyal fan base. This trend is indicative of the potential for international growth of the sport, with implications for stakeholders in both markets. As American Football continues to expand globally, there will be opportunities for collaborations, partnerships, and increased revenue streams for teams, leagues, and players. Additionally, this trend highlights the power of sports as a unifying force in bringing together different cultures and markets. As the trajectory of international expansion of American Football continues, it will create new and diverse opportunities for the industry as a whole, and contribute to the growth and development of the Sports market on a global scale.

Local special circumstances: In India, the American Football market has been traditionally overshadowed by the popularity of cricket. However, with an increasing trend towards global sports, the country is witnessing a rise in the popularity of American Football. The geographical diversity and diverse cultural backgrounds in India provide a unique platform for American Football to attract a diverse fanbase. Additionally, the sports launch in India has been supported by regulatory policies aimed at promoting and developing the sport, further contributing to the growth of the market.

Underlying macroeconomic factors: The American Football Market within the Sports Market is heavily influenced by macroeconomic factors, such as consumer spending, economic policies, and global economic trends. National economic health plays a crucial role in determining the performance of the market, with countries experiencing stronger economic growth seeing increased participation and investment in the American Football Market. Fiscal policies, such as tax incentives for sports organizations, also impact the market by influencing the cost of operations and revenue generation. Additionally, global economic factors such as trade policies and currency exchange rates can affect the purchasing power and financial stability of individual consumers, ultimately influencing the demand for American Football products and services.

Methodology

Data coverage:

The data encompasses B2C and B2B revenues. Figures are based on media spending, merchandise spending, and ticket spending. All monetary figures for merchandise and tickets refer to consumer spending on goods or tickets in the respective segment, which can be online and offline.

Modeling approach / Market size:

Market sizes are determined through a combination of bottom-up and top-down approaches, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., Consumer Insights), as well as performance factors (e.g., user penetration, price per ticket, price on sport goods). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet consumption. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function or linear forecasting, as it fits the development of either strong growing markets or more sophistacted and saturated markets, such as soccer in Europe.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). We also account for the different cycles of international tournaments, such as world cups or continent cups. Consumer Insights data is reweighted for representativeness.