The European Commission’s comprehensive 337-page study evaluates the underlying mechanisms of music discoverability, recommendation algorithms, and curation on digital streaming platforms. According to the data, 38% of tracks on top streaming services originate from European artists, with 24% classified as domestic content for individual nations. However, the findings reveal that algorithmic popularity bias and passive listening habits create feedback loops resulting in highly repetitive algorithmic recommendations. Furthermore, researchers note that missing metadata and the rapid influx of AI-generated audio are actively exacerbating the concentration of exposure around mainstream superstar artists.
The structural dominance of major labels over digital royalties and playlisting priorities underscores a critical digital capacity gap for independent entities. Addressing this imbalance will require independent labels and smaller publishers to significantly invest in data literacy and metadata optimization to compete effectively against entrenched algorithmic biases.
Curated by MusicResearch.com from Music Ally. Read the full article at: EC study examines music discoverability on streaming services
