Basketball Ticket Sales - Taiwan

Taiwan

Highlights

Revenue in the Basketball Ticket Sales market is projected to reach US$1.07m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 1.28%, resulting in a projected market volume of US$1.14m by 2029.
In global comparison, most revenue will be generated United States (US$2.50bn in 2024).
The average revenue per user (ARPU) in the Basketball Ticket Sales market is projected to amount to US$10.00 in 2024.
In the Basketball Ticket Sales market, the number of users is expected to amount to 108.9k users by 2029.
User penetration in the Basketball Ticket Sales market will be at 0.4% in 2024.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Basketball Ticket Sales Market in Taiwan nan has seen minimal growth due to factors such as limited demand for live games, competing entertainment options and the long-standing popularity of basketball in the region.

Customer preferences: With the rise of the health and wellness trend in Taiwan, consumers are placing more importance on holistic well-being, leading to a growing demand for events that offer a combination of physical activity and relaxation. This has created a shift towards larger-scale basketball events that feature yoga and meditation sessions, as well as healthy food options. Additionally, there has been a notable increase in the number of older adults attending basketball games, reflecting a growing interest in active aging and maintaining a healthy lifestyle.

Trends in the market: In Taiwan, the basketball ticket sales market is experiencing a trend towards increased use of digital platforms for ticket purchases. With the rise of e-commerce and mobile platforms, fans are able to easily purchase tickets online, reducing the need for physical ticket sales. This trend is significant as it opens up opportunities for targeted marketing and personalized promotions, ultimately leading to increased revenue for basketball teams. Additionally, the convenience and ease of online ticket purchases may attract more casual fans to attend games, potentially expanding the fan base. However, for traditional ticket vendors, this shift towards digital sales may result in a decline in their market share. As digital platforms continue to advance and integrate with other technologies, the implications for industry stakeholders in the basketball ticket sales market may include a greater focus on digital marketing strategies and the need to constantly adapt and innovate in order to remain competitive.

Local special circumstances: In Taiwan, the Basketball Ticket Sales Market has been greatly impacted by the countrys strong passion for basketball and the popularity of the local professional league, Super Basketball League (SBL). The SBL has a loyal fan base and has gained a significant following through televised games and social media. Additionally, Taiwan has a dense population and a strong urban lifestyle, making it easier for people to attend basketball games. The governments support for sports and the development of modern stadiums also contribute to the growing ticket sales market. These factors create a unique market dynamic in Taiwan that sets it apart from other basketball markets, making it a promising market for ticket sales growth.

Underlying macroeconomic factors: The Basketball Ticket Sales Market in Taiwan is greatly influenced by macroeconomic factors such as the overall economic health of the country, government policies, and global economic trends. Taiwan has experienced steady economic growth in recent years, with a strong focus on manufacturing and exports. This has led to an increase in disposable income and consumer spending, positively impacting the demand for basketball tickets. Additionally, the governments initiatives to promote sports and entertainment events have created a favorable environment for the growth of the Basketball Market within the Sports Market. Furthermore, the growing popularity of basketball in Taiwan, due to the success of their national team and the presence of high-profile international players, has also contributed to the increasing ticket sales.

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.