Pay-per-View (TVoD) - Kenya

  • Kenya
  • The Pay-per-View (TVoD) market) market in Kenya is projected to reach a revenue of US$3.79m by 2024.
  • It is expected to demonstrate an annual growth rate (CAGR 2024-2027) of 10.55%, resulting in a projected market volume of US$5.12m by 2027.
  • When compared on a global scale, in the United States is anticipated to generate the highest revenue, amounting to US$2,423.00m in 2024.
  • The average revenue per user (ARPU) in the Pay-per-View (TVoD) market) market is projected to be US$1.48 in 2024.
  • By 2027, the number of users is expected to reach 3.1m users.
  • The user penetration rate is predicted to be 4.3% in 2024 and is expected to increase to 5.0% by 2027.
  • Kenya's Pay-per-View market is experiencing a surge in demand as more consumers seek convenient access to premium content.

Key regions: China, Germany, United States, Asia, United Kingdom

 
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Analyst Opinion

Most Pay-per-View providers (e.g., Sky) are focusing on sports-related content like live broadcasts of soccer or football games. As nowadays video consumption is largely driven by streaming, many consumers are looking for services that will offer both sports content and the convenience of high-quality streaming, and new services such as DAZN are trying to fill this gap. Thereby, time-limited access to sports content becomes more and more redundant and will potentially lead to a turnaround in the Pay-per-View market.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Demographics
  • Global Comparison
  • Key Players
  • Methodology
  • Key Market Indicators
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