Web Push Advertising - South Africa

  • South Africa
  • In South Africa, ad spending in the Web Push Advertising market is forecasted to reach US$7.51m in 2024.
  • The sector is anticipated to display an annual growth rate (CAGR 2024-2029) of 1.92%, leading to a projected market size of US$8.26m by 2029.
  • When compared globally, the United States is expected to generate the highest ad spending (US$1,206.00m in 2024).
  • The average ad spending per internet user in the Web Push Advertising market is estimated to be US$0.16 in 2024.
  • In South Africa, the rise of Web Push Advertising is revolutionizing the digital marketing landscape with its targeted and interactive approach.

Key regions: China, Australia, Germany, United Kingdom, France

 
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Analyst Opinion

The Web Push Advertising market in South Africa is experiencing steady growth due to increasing customer preferences for personalized and targeted advertising, as well as the rise of mobile internet usage in the country.

Customer preferences:
Customers in South Africa are increasingly seeking personalized and targeted advertising experiences. They want to receive relevant and timely advertisements that cater to their specific interests and needs. This has led to the adoption of web push advertising, which allows businesses to send push notifications directly to users' devices, providing them with personalized content and offers. Additionally, customers appreciate the convenience of receiving notifications on their mobile devices, as it allows them to stay informed and engaged with brands even when they are not actively browsing the internet.

Trends in the market:
One of the key trends in the Web Push Advertising market in South Africa is the growing popularity of mobile internet usage. With the increasing affordability and accessibility of smartphones, more and more South Africans are accessing the internet through their mobile devices. This trend has created new opportunities for web push advertising, as businesses can reach customers directly on their smartphones through push notifications. As a result, advertisers are investing in mobile-centric advertising strategies to capitalize on the growing mobile internet user base in the country. Another trend in the market is the adoption of data-driven advertising strategies. Businesses are leveraging data analytics and machine learning algorithms to collect and analyze user data, allowing them to deliver highly targeted and personalized advertisements. This trend is particularly relevant in South Africa, where customers are seeking personalized experiences. By analyzing user behavior and preferences, advertisers can tailor their push notifications to individual users, increasing the likelihood of engagement and conversion.

Local special circumstances:
South Africa has a diverse population with varying cultural and linguistic preferences. Advertisers need to take into account these local special circumstances when implementing web push advertising campaigns. Localization of content and language is crucial to effectively reach and engage with the target audience. Advertisers must understand the cultural nuances and preferences of different regions within South Africa to ensure their push notifications resonate with the local population.

Underlying macroeconomic factors:
The growth of the Web Push Advertising market in South Africa is also influenced by underlying macroeconomic factors. As the economy continues to develop and the middle class expands, more consumers have disposable income to spend on products and services. This has led to increased competition among businesses to capture the attention of consumers and drive sales. Web push advertising provides an effective and cost-efficient way for businesses to reach their target audience and promote their offerings. Additionally, the increasing internet penetration rate in South Africa has created a larger online consumer base, further driving the demand for web push advertising. In conclusion, the Web Push Advertising market in South Africa is growing due to increasing customer preferences for personalized and targeted advertising, the rise of mobile internet usage, and the adoption of data-driven advertising strategies. Advertisers must consider local special circumstances and leverage underlying macroeconomic factors to effectively reach and engage with the South African market.

Methodology

Data coverage:

The data encompasses B2B enterprises. Figures are based on Web Push Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers the advertising budget used for distributing web push advertisements.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. 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., the Statista Consumer Insights Global survey), as well as performance factors (e.g., user penetration, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet coverage. 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 is well suited to forecast digital products due to the non-linear growth of technology adoption, whereas exponential trend smoothing (ETS) is more suited for projecting steady growth in traditional advertising markets. The main drivers are GDP per capita, consumer spending per capita, and internet users.

Additional notes:

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). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.

Overview

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