Market Insights Advertising & Media Sports

Basketball - China

China

Revenue in the Basketball market is projected to reach €382.00m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -4.25%, resulting in a projected market volume of €307.40m by 2029.
In global comparison, most revenue will be generated in the United States (€8,842.00m in 2024).
The average revenue per user (ARPU) in the Basketball market is projected to amount to €5.76 in 2024.
In the Basketball market, the number of users is expected to amount to 74.2m users by 2029.
User penetration in the Basketball market will be at 4.6% in 2024.

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Analyst Opinion

The Sports Market in China, specifically the Basketball market, has witnessed minimal growth due to a combination of factors. The rising popularity of digital platforms for sports content, consumer health awareness, and the increasing demand for basketball merchandise and tickets have all contributed to this growth rate. However, factors such as the COVID-19 pandemic and limited in-person events have hindered the markets growth to some extent. Overall, the market is expected to continue growing gradually in the coming years.

Customer preferences: The Chinese Basketball Market is experiencing a rise in demand for personalized and immersive experiences. This trend is fueled by the growing middle class and their desire for unique and high-quality activities. As a result, sports companies are incorporating culturally-sensitive features and catering to specific demographics such as women and young adults. Additionally, with the rise of social media, fans are seeking interactive and engaging ways to connect with their favorite teams and players, driving the adoption of digital platforms and virtual events.

Trends in the market: In China, the Basketball Market within the Sports Market is experiencing a surge in popularity, with a growing number of people participating in and consuming basketball-related content. This trend can be attributed to the strong presence and influence of Chinese basketball players in the NBA, as well as the increasing availability and accessibility of online streaming platforms. The significance of this trend is reflected in the significant investment and partnerships between Chinese companies and NBA teams. Moving forward, this trend is expected to continue as basketball continues to be a popular sport in China, opening up opportunities for industry stakeholders to tap into this growing market and engage with fans through diverse platforms.

Local special circumstances: In China, the Basketball Market within the Sports Market is heavily influenced by the cultural significance of the sport in the country. Basketball has a huge following and is deeply ingrained in the Chinese culture, with major events and tournaments attracting large crowds. Additionally, the geographical landscape of China, with its large population and urban areas, provides a large market for both professional and amateur basketball. Furthermore, the Chinese government has been actively promoting sports and investing in infrastructure, creating more opportunities for growth in the basketball market.

Underlying macroeconomic factors: The Basketball Market within the Sports Market in China is strongly impacted by various macroeconomic factors. One of the key factors is the overall economic health of the country, which is experiencing steady growth and has a large population with a growing middle class consumer base. This provides a strong market for sports products and services, including basketball. Additionally, government policies and initiatives aimed at promoting sports and physical activity, such as the Healthy China campaign, are also driving the basketball market. Technological advancements in the sports industry and potential investment in this sector are other factors contributing to market growth. However, the recent trade tensions between China and the US and potential economic slowdown could have a negative impact on the overall growth of the Sports market, including basketball.

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.