Cinema Concessions - Netherlands

Netherlands

Highlights

In the Netherlands, revenue in the Cinema Concessions market market is projected to reach US$385.60m in 2024.
This revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.35%, resulting in a projected market volume of US$454.80m by 2029.
Furthermore, in the Cinema Concessions market market withNetherlands, the number of viewers is expected to amount to 10.4m users by 2029.
User penetration in the Netherlands will be 54.0% in 2024 and is anticipated to increase to 58.2% by 2029.
The average revenue per viewer in the Netherlands is expected to amount to US$40.43.
In global comparison, most revenue will be generated the United States (US$9.88bn in 2024).
In the Netherlands, cinema concessions are increasingly focusing on health-conscious options, reflecting a growing consumer demand for nutritious snacks alongside traditional offerings.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Cinema Concessions market in Netherlands has been experiencing steady growth in recent years, driven by changing customer preferences and local special circumstances. Customer preferences in the Netherlands have shifted towards a more immersive cinema experience, with a growing demand for premium concessions. Moviegoers are increasingly looking for unique and high-quality food and beverage options to enhance their cinema experience. This has led to the introduction of gourmet snacks, craft beers, and specialty cocktails in cinema concessions menus. Additionally, there is a growing preference for healthier options, such as organic snacks and gluten-free alternatives, reflecting the overall health-consciousness of Dutch consumers. Trends in the market also indicate a focus on convenience and customization. Cinema chains in the Netherlands are adopting self-service kiosks and mobile apps to streamline the ordering process and reduce waiting times. This allows customers to customize their concessions orders and have them prepared in advance, ensuring a seamless and efficient experience. Furthermore, there is a growing trend of offering personalized recommendations and promotions based on customer preferences and past purchases, enhancing the overall customer experience and driving loyalty. Local special circumstances in the Netherlands contribute to the development of the Cinema Concessions market. The country has a strong cinema culture, with a high number of cinema visits per capita. This provides a favorable environment for cinema chains to invest in improving and expanding their concessions offerings. Additionally, the Dutch population has a relatively high disposable income, allowing for greater spending on premium concessions. Moreover, the Netherlands is known for its vibrant food and beverage scene, with a diverse range of culinary options. This has influenced the cinema concessions market, with cinema chains partnering with local food and beverage brands to offer unique and locally-inspired concessions options. Underlying macroeconomic factors also play a role in the development of the Cinema Concessions market in the Netherlands. The country has a stable economy and a strong tourism industry, attracting both domestic and international moviegoers. This provides a steady customer base for cinema concessions, as well as opportunities for growth through tourist spending. Additionally, the Netherlands has a high level of digitalization and technological advancement, which has facilitated the adoption of innovative solutions in the cinema concessions market, such as self-service kiosks and mobile apps. Overall, the Cinema Concessions market in the Netherlands is developing in response to changing customer preferences for premium and customized offerings, as well as local special circumstances and underlying macroeconomic factors. This presents opportunities for cinema chains to enhance the cinema experience and drive revenue growth through their concessions offerings.

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Cinema market, which comprises revenues from box office, advertsing and concessions. The market includes both consumer and advertising spending. All monetary figures refer to consumer spending on tickets and concessions. This spending factors in discounts, margins, and taxes.

Modeling approach / market size:

The market size is determined through a bottom-up approach. 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 product, usage) to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as various macroeconomic indicators, historical developments, current trends, and reported performance indicators of key market players. In particular, we consider average prices and annual purchase frequencies.

Forecasts:

We apply a variety of forecasting techniques, depending on the behavior of the relevant market. For instance, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and 4G coverage.

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 data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. 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). Consumer Insights data is reweighted for representativeness.