Influencer Advertising - Baltics

  • Baltics
  • Ad spending in the Influencer Advertising market in Baltics is forecasted to reach US$19.90m in 2024.
  • The market is expected to experience an annual growth rate (CAGR 2024-2029) of 7.16%, leading to a projected market volume of US$28.12m by 2029.
  • The average ad spending per internet user in the Influencer Advertising market in Baltics is projected to be US$3.95 in 2024.
  • When compared globally, China is anticipated to have the highest ad spending, reaching US$19,160.00m in 2024.
  • In the Baltics, Influencer Advertising is rapidly growing as brands leverage local social media personalities to reach targeted audiences effectively.

Key regions: Australia, Germany, France, Europe, United States

 
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Analyst Opinion

The Influencer Advertising market in the Baltics 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 this development. Customer preferences in the Baltics have shifted towards digital platforms and social media. With the increasing popularity of platforms such as Instagram, YouTube, and TikTok, consumers are spending more time online and engaging with content created by influencers. This has created a demand for influencer advertising as brands recognize the potential of leveraging these platforms to reach their target audience. Trends in the market indicate that influencer advertising has become an integral part of marketing strategies in the Baltics. Brands are partnering with influencers to promote their products or services, leveraging the influencers' large and engaged following. This form of advertising allows brands to tap into the trust and authenticity that influencers have built with their audience, resulting in higher brand awareness and customer engagement. Local special circumstances in the Baltics have also contributed to the growth of the influencer advertising market. The region has a high internet penetration rate and a tech-savvy population, making it an ideal market for digital advertising. Additionally, the relatively small size of the Baltic countries allows for more targeted and personalized influencer campaigns, leading to higher conversion rates and return on investment for brands. Underlying macroeconomic factors have further fueled the development of the influencer advertising market in the Baltics. The region has experienced steady economic growth, leading to increased consumer spending power. This has created a favorable environment for brands to invest in influencer advertising as a means to reach and engage with the affluent Baltic consumer base. In conclusion, the Influencer Advertising market in the Baltics has been growing due to customer preferences shifting towards digital platforms, the increasing use of influencer advertising in marketing strategies, local special circumstances such as high internet penetration and a tech-savvy population, and underlying macroeconomic factors such as steady economic growth. This trend is likely to continue as brands recognize the effectiveness of influencer advertising in reaching and engaging with their target audience in the Baltics.

Methodology

Data coverage:

Data encompasses enterprises (B2B). Figures are based on influencer advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers advertising fees paid directly to influencers to post sponsored content.

Modeling approach:

Market size is determined by a combined top-down and bottom-up approach. We use market data from independent databases, influencer marketing platforms, and third-party reports to analyze and estimate global influencer advertising spending. We start by researching on the average cost per content post on each social media platform, the number of influencers available on advertising platforms (breakdown by tier: nano, micro, macro, and mega), and the average number of posts per year. Then we estimate the market size for each country individually. We use relevant key market indicators and data from country-specific industry associations, such as GDP, social media users, and digital consumer spending. Lastly, we benchmark key countries or regions (global, United States, China, etc.) with external sources.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market. For instance, 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.

Additional notes:

Data is modeled using current exchange rates. The impacts of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice per year in case market dynamics change.

Overview

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