Sports - Portugal

Portugal

Revenue in the Sports market is projected to reach €706.80m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.13%, resulting in a projected market volume of €824.60m by 2029.
In global comparison, most revenue will be generated in the United States (€45,660.00m in 2024).
The average revenue per user (ARPU) in the Sports market is projected to amount to €263.90 in 2024.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Sports market in Portugal is experiencing a minimal growth rate, influenced by various factors such as the popularity of sub-markets like Soccer, American Football, Basketball, Baseball, and Cricket, as well as the increasing adoption of digital technologies and the growing health awareness among consumers. Additionally, the convenience offered by online sports services is also impacting this growth rate.

Customer preferences: The rising trend of health and wellness has translated into increased demand for organic and plant-based sports nutrition products in the Portuguese Sports market. Consumers are prioritizing clean and sustainable options, leading to the growth of plant-based protein powders, bars, and supplements. This shift is driven by the strong cultural appreciation for fresh and healthy food options, as well as the growing interest in sustainable living among younger demographics. As a result, brands are adapting by incorporating more ethical and sustainable practices in their supply chain and product offerings.

Trends in the market: In Portugal, the Sports market is experiencing a rise in technological advancements, with a focus on integrating digital services into the traditional sports industry. This includes the use of mobile apps for ticketing, livestreaming of events, and virtual training programs for athletes. Furthermore, there is a growing trend of incorporating virtual and augmented reality into live sporting events. These trends are significant as they aim to enhance the overall fan experience and engagement, while also providing a new revenue stream for clubs and organizations. However, this could also potentially disrupt the traditional business model of the Sports market, as well as create a divide between those who can afford to invest in these technologies and those who cannot. Industry stakeholders will need to carefully navigate this digital transformation in order to best capitalize on these trends while also ensuring inclusivity and retaining the essence of the Sports market.

Local special circumstances: In Portugal, the Sports Market is heavily influenced by the countrys deep passion for sports, particularly football. With its mild climate and beautiful landscapes, Portugal has also become a popular destination for outdoor sports such as surfing and hiking. Additionally, the countrys history and culture play a significant role in shaping its Sports market, with events like the Tour de Portugal and the Lisbon Half Marathon attracting both tourists and locals. Government regulations, such as tax incentives for sports clubs, also impact the market, encouraging the development of professional athletes and contributing to the overall growth of the sports industry in Portugal.

Underlying macroeconomic factors: The Sports Market in Portugal is influenced by macroeconomic factors such as economic stability, disposable income, and government spending. A stable economy and higher disposable income allow consumers to spend more on sports-related activities and products, leading to market growth. Government spending on sports infrastructure and events also has a significant impact on the market, as it creates opportunities for players, sponsors, and other stakeholders. Moreover, with the global trend of increasing focus on health and wellness, countries with favorable economic conditions are experiencing a surge in demand for sports and fitness products. This trend is expected to continue, driven by factors like growing health consciousness and rising awareness about the benefits of regular physical activity.

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.