Synthetic Spotify Music Trends Simulation for 2026

A scenario-based synthetic dataset simulating music trends for the year 2026. It contains audio-related data generated to model future Spotify listening patterns.

Use Cases

• Analyze simulated audio feature trends to forecast genre popularity shifts in 2026.
• Train models on synthetic audio data to predict future user engagement patterns.
• Benchmark recommendation algorithms against a controlled 2026 trend simulation.

Strengths

• Data is synthetically generated for a controlled scenario analysis.
• Focuses on a forward-looking simulation for the year 2026.

Limitations

• Contains synthetic data, not real-world observations, limiting real-world predictive validity.
• Unknown data volume, feature set, and sample size prevent assessment of statistical power.

Provenance

Source

Kaggle

Collection Method

Synthetic generation for scenario simulation.

Time Range

Simulated data for the year 2026.

Freshness

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Geography

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