Web Push Advertising - Russia

Russia

Highlights

Ad spending in the Web Push Advertising market in Russia is forecasted to reach US$23.58m by 2024.
The expected annual growth rate (CAGR 2024-2030) is 3.63%, leading to a projected market volume of US$29.21m by 2030.
When compared globally, the United States is set to generate the highest ad spending (US$1.21bn in 2024).
The average ad spending per internet user in the Web Push Advertising market in Russia is projected to be US$0.18 in 2024.
In Russia, Web Push Advertising is gaining traction as businesses capitalize on the growing online consumer base for targeted ad campaigns.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Web Push Advertising is a rapidly growing market in Russia, driven by customer preferences for personalized and targeted advertising, as well as the increasing adoption of mobile devices and internet connectivity.

Customer preferences: Russian consumers are increasingly demanding personalized and relevant advertising experiences. They are more likely to engage with advertisements that are tailored to their interests and preferences. Web Push Advertising allows advertisers to deliver highly targeted and personalized messages directly to consumers' devices, increasing the likelihood of engagement and conversion. This customer preference for personalized advertising is driving the growth of the Web Push Advertising market in Russia.

Trends in the market: The Web Push Advertising market in Russia is witnessing several key trends. Firstly, there is a shift towards mobile advertising, as more Russians access the internet through their smartphones. This trend is fueled by the increasing availability of affordable smartphones and the expansion of mobile internet coverage across the country. Web Push Advertising is well-suited for mobile devices, as it allows advertisers to reach consumers directly on their smartphones, where they spend a significant amount of their time. Secondly, there is a growing focus on user engagement and retention. Advertisers are realizing the importance of building long-term relationships with their customers, rather than just focusing on acquiring new customers. Web Push Advertising enables advertisers to engage with their audience on an ongoing basis, by sending push notifications with relevant offers, updates, and reminders. This helps to keep the brand top-of-mind and encourages repeat purchases.

Local special circumstances: Russia has a unique advertising landscape, with a strong emphasis on traditional media channels such as television and print. However, the digital advertising market is rapidly catching up, driven by the increasing internet penetration and smartphone adoption. Web Push Advertising is still relatively new in Russia, but it is gaining traction as advertisers recognize its effectiveness in reaching and engaging with their target audience.

Underlying macroeconomic factors: The growth of the Web Push Advertising market in Russia is also influenced by underlying macroeconomic factors. The Russian economy has been recovering from a period of recession, and this has led to increased consumer spending power. As consumers have more disposable income, they are more likely to engage with advertising and make purchases. This provides a favorable environment for advertisers to invest in Web Push Advertising and reach out to potential customers. Furthermore, the Russian government has been actively promoting digitalization and technological innovation as part of its national development strategy. This includes initiatives to improve internet infrastructure and increase internet access in rural areas. These efforts are driving the growth of the digital advertising market, including the Web Push Advertising segment. In conclusion, the Web Push Advertising market in Russia is experiencing rapid growth due to customer preferences for personalized advertising, the increasing adoption of mobile devices, and the favorable macroeconomic factors. Advertisers are recognizing the effectiveness of Web Push Advertising in reaching and engaging with their target audience, and this trend is expected to continue in the coming years.

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.