
Data-Driven Live Music Intelligence
Whether you're sizing a market, evaluating an investment, or producing an industry report, JamBase Data provides the structured, historical dataset you need to draw defensible conclusions.
Track venue openings and closures, artist touring frequency trends, genre popularity shifts, and regional market dynamics with 25+ years of structured event data.
- Market SizingQuantify events, venues, and artist activity by region and genre
- Trend AnalysisTrack year-over-year changes in touring, venues, and demand
- Investment Due DiligenceEvaluate live entertainment companies with hard data

The Data You Need
Live music data for research and analysis
Market Data
Event counts, venue capacity, and regional market sizing by genre and date range.
Demand Signals
Ticket availability trends, sell-out rates, and pricing patterns across markets.
Venue Analytics
Venue lifecycle tracking, capacity trends, and geographic distribution analysis.
Historical Archive
25+ years of structured event data for longitudinal studies and trend identification.
Analytics & Insights Stories
How data teams and analysts use JamBase Data to uncover live music market intelligence.
Your Analytics Team
From market sizing to competitive analysis, if you're turning live music data into business insights, we'd love to showcase your work.
Case study coming soon
Share your storyYour Research Firm
Research firms use JamBase's 25+ years of historical event data to analyze touring trends, venue economics, and audience demographics.
Case study coming soon
Share your storyYour Data Team
Building predictive models, demand forecasting, or market analysis with live event data? Tell us about your use case.
Case study coming soon
Share your storyStarter prompt for your AI agent
Drop this into Claude Code, Cursor, or Windsurf. The agent self-discovers JamBase Data via llms.txt and produces a research-ready aggregation pipeline.
I'm a research analyst studying the live music market in [REGION]. Use JamBase Data (https://data.jambase.com/llms.txt) to write a Python script that pulls all events between [START DATE] and [END DATE] in [METRO/STATE/COUNTRY], aggregated by month and genre, with venue capacity weighting for total seats offered. Output a CSV ready for our analytics warehouse. My JamBase Data API key is in .env as JAMBASE_API_KEY.
Replace the bracketed slots with your details, then drop the prompt into your agent of choice.