In-App Advertising - Zimbabwe

  • Zimbabwe
  • In 2024, ad spending in the In-App Advertising market in Zimbabwe is forecasted to reach US$14.95m.
  • The anticipated annual growth rate (CAGR 2024-2029) is 7.31%, leading to a projected market volume of US$21.27m by 2029.
  • The average ad spending per mobile internet user in the In-App Advertising market is expected to be US$1.19 in 2024.
  • When compared globally, China is set to lead in ad spending with US$132.80bn in 2024.
  • Zimbabwe is experiencing a growing demand for targeted in-app advertising, driven by the increasing smartphone penetration and digital engagement among its population.

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

 
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Analyst Opinion

The In-App Advertising market in Zimbabwe has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of mobile devices. Customer preferences in Zimbabwe have shifted towards mobile devices, with a significant portion of the population now owning smartphones. This has led to an increase in the amount of time spent on mobile apps, creating a lucrative opportunity for advertisers to reach consumers through in-app advertising. Additionally, consumers in Zimbabwe have shown a preference for personalized and targeted advertising, which can be effectively delivered through in-app advertising. Trends in the market indicate that advertisers in Zimbabwe are increasingly allocating their budgets towards in-app advertising. This is due to the high engagement rates and the ability to target specific demographics that in-app advertising offers. Advertisers are recognizing the potential of reaching consumers directly through their mobile devices, as opposed to traditional forms of advertising such as television or print media. Furthermore, the local special circumstances in Zimbabwe contribute to the growth of the In-App Advertising market. The country has a relatively young population, with a large percentage of the population under the age of 35. This demographic is highly tech-savvy and more likely to own smartphones and engage with mobile apps. As a result, advertisers are targeting this demographic through in-app advertising to effectively reach their desired audience. Underlying macroeconomic factors also play a role in the development of the In-App Advertising market in Zimbabwe. The country has experienced economic growth in recent years, leading to an increase in disposable income. This has resulted in more consumers being able to afford smartphones and data plans, further driving the demand for in-app advertising. In conclusion, the In-App Advertising market in Zimbabwe is experiencing growth due to changing customer preferences, the increasing popularity of mobile devices, and the ability to effectively target and engage with consumers through in-app advertising. The young and tech-savvy population, coupled with economic growth, creates a favorable environment for the expansion of the In-App Advertising market in Zimbabwe.

Methodology

Data coverage:

The data encompasses B2B enterprises. Figures are based on in-app advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers ad spending on advertisements displayed within a mobile application.

Modeling approach:

The market size is determined through a combined top-down and bottom-up approach. We use market data from independent databases, the number of application downloads from data partners, survey results taken from our primary research (e.g., the Consumer Insights Global Survey), and third-party reports to analyze and estimate global in-app advertising spending. To analyze the markets, we start by researching digital advertising in mobile applications for each advertising format, incidents of in-app and mobile browser usage, as well as the time spent in mobile apps by categories. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, mobile users, and digital consumer spending. Lastly, we benchmark key countries and/or regions (e.g., global, the United States, China) with external sources.

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.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year.

Overview

  • Ad Spending
  • Key Players
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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