Audio Advertising includes all ad revenue generated through pre- and in-stream audio ads that appear in music (music also includes all kinds of radio services) and podcast streaming services. Formats can be single spots, tandem spots, or popular special advertising formats such as presenting, on-air promotions, and infomercials, directly embedded in the audio file or dynamically inserted.
Music streaming advertising is ad supported on music-streaming services
Podcast advertising is ad supported for ads placed within podcast channels
Audio Advertising comprises advertising spending, users, and average revenue per user. The market only displays B2B spending. Figures are based on advertising spending and exclude agency commissions, rebates, production costs, and taxes. Key players in Audio Advertising include Amazon Music, Apple Music, YouTube Music, Tencent Music, and Spotify. For more information on the data displayed, use the info button right next to the boxes.
Digital Audio Advertising through pre- and in-Stream Audio Ads that appear in music and podcast streaming services
Banner or Video ads included only in the web player of the streaming service
Data encompasses enterprises (B2B). Figures are based on digital audio advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers pre- and in-stream audio ads and podcast streaming ads.
Market size is determined by a combined top-down and bottom-up approach. We use annual financial reports of the market-leading companies and industry associations, third-party reports, web traffic, and survey results from our primary research (e.g., Statista Global Consumer Survey) to analyze the markets. 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, media consumption, internet users, and digital consumer spending.
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.
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.