Market Insights Advertising & Media Sports

Soccer - Belgium

Belgium

Revenue in the Soccer market is projected to reach €719.80m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.22%, resulting in a projected market volume of €843.50m by 2029.
In global comparison, most revenue will be generated in the United Kingdom (€8,991.00m in 2024).
The average revenue per user (ARPU) in the Soccer market is projected to amount to €271.70 in 2024.
In the Soccer market, the number of users is expected to amount to 2.0m users by 2029.
User penetration in the Soccer market will be at 22.6% in 2024.

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Analyst Opinion

The Soccer Market in Belgium has seen limited growth due to factors such as increasing competition from other sports, declining interest in traditional media coverage, and economic challenges impacting merchandise and ticket sales. However, online platforms and innovative marketing strategies offer potential for growth.

Customer preferences: With the rise of social media and the increasing influence of athletes as cultural icons, consumer preferences in the Soccer Market are shifting towards more personalized and interactive experiences. Fans are now looking for ways to connect with their favorite players, whether its through social media interactions, virtual meet and greets, or personalized merchandise. This trend is fueled by the increasing importance placed on personalization and authenticity, with consumers seeking unique and authentic experiences rather than traditional marketing tactics.

Trends in the market: In Belgium and the Soccer Market within the Sports Market, there is a growing trend towards data-driven decision making in player scouting and performance analysis. Clubs are increasingly relying on advanced statistical models and player tracking technologies to make informed decisions. This trend is significant as it allows for more efficient player recruitment and development, leading to improved on-field performance and potentially higher revenue. However, it could also create a gap between larger and smaller clubs, as the cost of implementing these technologies may be prohibitive for smaller clubs. Additionally, there may be concerns about the potential loss of the human element and subjective judgment in player selection. Overall, industry stakeholders must carefully balance the benefits and potential drawbacks of this trend to ensure its sustainability and fair competition in the Soccer Market.

Local special circumstances: In Belgium, the Soccer Market within the Sports Market is heavily influenced by the countrys rich history and culture surrounding the sport. Soccer is deeply ingrained in Belgian society, with the national team regularly competing in international tournaments. This strong national pride and passion for the sport translates into a vibrant and competitive soccer market, with strong support for local teams and leagues. Additionally, Belgiums small size and centralized location make it a prime destination for international scouts, leading to a constant influx of talented players and further bolstering the local market.

Underlying macroeconomic factors: The Soccer Market in Belgium is impacted by several macroeconomic factors. Firstly, the global economic trend of increasing interest and participation in sports has led to a growing demand for soccer in Belgium. The national economic health also plays a role, as the countrys strong economy and high disposable income levels allow for investment in top-tier soccer clubs and the development of state-of-the-art stadiums. Fiscal policies, such as tax incentives for sports organizations and subsidies for infrastructure, further contribute to the growth of the soccer market in Belgium. Lastly, other financial indicators, like the popularity of streaming services and merchandising, also influence the market, with the countrys strong cultural ties to soccer driving consumer spending in these areas. Overall, these macroeconomic factors provide a positive outlook for the continued growth of the Soccer Market in Belgium.

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.