American Football Ticket Sales - Chile

Chile

Highlights

Revenue in the American Football Ticket Sales market is projected to reach US$758.20k in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 6.52%, resulting in a projected market volume of US$1.04m by 2029.
In global comparison, most revenue will be generated United States (US$3.59bn in 2024).
The average revenue per user (ARPU) in the American Football Ticket Sales market is projected to amount to US$44.27 in 2024.
In the American Football Ticket Sales market, the number of users is expected to amount to 17.0k users by 2029.
User penetration in the American Football Ticket Sales market will be at 0.1% in 2024.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The American football ticket sales market in Chile has seen moderate growth due to factors such as limited popularity of the sport, high ticket prices, and availability of alternative entertainment options. Despite this muted growth rate, increasing interest in the sport and innovative marketing strategies could drive future growth in the market.

Customer preferences: The American Football Ticket Sales Market has seen a rise in online ticket purchasing due to a growing preference for convenience and time-efficiency among consumers. This trend is particularly prominent among the younger demographic, who are avid followers of American Football and are more likely to engage in digital transactions. Additionally, the cultural influence of social media and instant gratification have also played a role in the increasing popularity of online ticket sales for American Football games.

Trends in the market: In Chile, the American Football market has seen a significant increase in ticket sales due to the rising popularity of the sport among the youth. This trend is expected to continue as the countrys American Football Federation focuses on developing grassroots programs and expanding the sports reach. In the United States, online ticketing and mobile ticket sales have become prominent, providing convenience for fans and boosting overall revenue for teams. This trend is likely to continue as more fans turn to digital platforms for purchasing tickets. In the coming years, the American Football Ticket Sales Market is expected to witness a similar trend in Chile, as more fans become tech-savvy and seek digital ticketing options. This trend has significant implications for industry stakeholders, as they must adapt to the changing landscape and invest in modern ticketing technologies to attract and retain customers.

Local special circumstances: In Chile, the American Football ticket sales market is heavily influenced by the countrys strong passion for sports and its rich football culture. The market is also affected by economic stability and political events, as they directly impact consumer spending. On the other hand, in the United States, the ticket market is largely driven by the strong marketing and promotional strategies of major leagues and teams, as well as the countrys high disposable income and technological advancements. These factors significantly differentiate the American Football ticket sales market in Chile from other markets.

Underlying macroeconomic factors: The American Football Ticket Sales Market is significantly impacted by macroeconomic factors such as disposable income, consumer confidence, and overall economic stability. In countries with a strong economic outlook and high consumer confidence, ticket sales for American football games tend to be higher due to increased spending on leisure activities. On the other hand, in countries with weaker economic conditions, ticket sales may be negatively affected as people prioritize essential expenses over entertainment. Fiscal policies, such as taxes and tariffs, can also impact ticket prices and affordability for consumers, ultimately influencing market performance. Moreover, global economic trends, such as fluctuations in exchange rates, can also affect the purchasing power of international fans, potentially impacting the international ticket sales market for American football games.

Data coverage:

The data encompasses B2C revenues. Figures are based on ticket spending. All monetary figures refer to consumer spending on goods 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.