Video-on-Demand - Dominican Republic

Dominican Republic

The Dominican Republic is projected to experience significant growth in the Video-on-Demand market.
By 2024, the revenue in this market is estimated to reach US$83.89m.
Furthermore, a steady annual growth rate of 3.90% (CAGR 2024-2027) is expected, resulting in a projected market volume of US$94.10m by 2027.
Among the various segments within the Video-on-Demand market, Video Streaming (SVoD)) holds the largest market share, with a volume of US$55.96m in 2024.
When compared globally, United States is projected to generate the highest revenue, amounting to US$80,300.00m in 2024.
Looking at user statistics, the number of Video-on-Demand market users in the Dominican Republic is expected to reach 6.7m users by 2027.
User penetration, which measures the percentage of the population using Video-on-Demand market services, is estimated to be 51.7% in 2024 and is projected to increase to 58.0% by 2027.
The Dominican Republic is experiencing a surge in demand for local and international video-on-demand content, driven by the country's growing internet penetration and access to streaming platforms.

Key regions: Asia, China, Japan, United Kingdom, India

Market

Region

Region comparison

Currency

Analyst Opinion

After capturing the living rooms all over the globe in recent years, Video Streaming giants like Netflix and Amazon Prime Video see themselves confronted with first signs of market saturation. While the idea of having unlimited access to an ever-growing library of video content was attractive enough for customers to subscribe to such services, latest developments like Disney’s market entry and frequent price hikes will put consumers’ loyalty under test. It has to be observed whether Netflix’ and Amazon’s efforts to face growing competition and changing consumer tastes by boosting exclusive content production will be enough.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Video-on-Demand market. Video-on-demand is defined as premium over-the-top video-on-demand (VoD) content distributed over the internet. This includes pay-per-view (TVoD), video downloads (EST), and video streaming (SVoD). All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. 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., the Statista Global Consumer Survey), 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). GCS data is reweighted for representativeness.