Direct Messaging Advertising - Hungary

  • Hungary
  • Ad spending in the Direct Messaging Advertising market in Hungary is forecasted to reach US$107.30m in 2024.
  • The expected annual growth rate (CAGR 2024-2029) is 1.50%, leading to a projected market volume of US$115.60m by 2029.
  • Direct Mail Advertising holds the largest market share in Hungary with a volume of US$72.02m in 2024.
  • When compared globally, the United States leads in ad spending with US$29,980.00m in 2024.
  • The average ad spending per capita in the Direct Messaging Advertising market is projected to be US$10.74 in Hungary in 2024.
  • In Hungary, Direct Messaging Advertising is experiencing a surge in popularity among businesses seeking targeted and personalized marketing strategies to reach their audiences effectively.

Key regions: Europe, Japan, India, Germany, France

 
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Analyst Opinion

The Direct Messaging Advertising market in Hungary has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this market. Customer preferences in Hungary have shifted towards digital communication channels, including direct messaging platforms. With the increasing popularity of smartphones and social media, consumers are spending more time on messaging apps, making it an attractive advertising channel for businesses. The convenience and personalization of direct messaging advertising allow companies to reach their target audience in a more direct and engaging way. Trends in the market indicate that businesses in Hungary are recognizing the potential of direct messaging advertising and are allocating more resources towards this channel. Companies are investing in chatbot technology to automate customer interactions and provide personalized experiences. This trend is driven by the desire to improve customer service and increase efficiency in communication. Local special circumstances in Hungary, such as a growing tech-savvy population and a high internet penetration rate, have also contributed to the development of the direct messaging advertising market. Hungary has a young and digitally literate population, which is more likely to adopt new technologies and engage with digital advertising. Additionally, the high internet penetration rate ensures that a large portion of the population can be reached through online channels. Underlying macroeconomic factors, such as the growth of the digital economy and increasing disposable income, have further fueled the development of the direct messaging advertising market in Hungary. The digital economy has been growing rapidly in Hungary, creating new opportunities for businesses to reach customers through online channels. As disposable income increases, consumers are more willing to spend on products and services advertised through direct messaging platforms. In conclusion, the Direct Messaging Advertising market in Hungary is developing due to customer preferences for digital communication channels, trends in the market towards automation and personalization, local special circumstances such as a tech-savvy population and high internet penetration rate, and underlying macroeconomic factors including the growth of the digital economy and increasing disposable income.

Methodology

Data coverage:

The data encompasses B2B enterprises. Figures are based on Direct Messaging Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers advertising by businesses via e-mail, SMS, direct mail, messengers, web push, telemarketing, and instant messaging.

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), 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, number of smartphone users, internet coverage, and number of urban households. 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 4G coverage.

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 Consumer Insightsis reweighted for representativeness.

Overview

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