Mapping of Music Tech Solutions
AI Tools Across the Live Music Value Chain
AI is reshaping cultural industries, offering live music a chance to tackle persistent challenges and create new value. This section presents a mapping of AI-powered tools identified through the IMEMS project, showing their distribution across the live music value chain and highlighting key areas of innovation potential.
How We Mapped AI Solutions in Live Music
To build a comprehensive map of AI-driven tools for live music and music export, we launched an open call across European and international music tech networks. Startups and service providers were invited to submit relevant solutions, while parallel interviews and panels with industry professionals offered key insights into real-world needs. This combined approach led to 32 submissions, with 22 identified as highly relevant to the live music value chain.
AI Solution Landscape & Market Context
From 32 submissions, the IMEMS project identified 22 AI tools directly relevant to live music and music export, categorized as follows:
- Artistic Programming & Booking: 4
- Scenic Production & Experience: 6
- Audience Mngmt & Discoverability: 6
- Ticketing: 2
- Administration: 4
Market Trends & Innovation Gaps
The global live music market grew significantly in 2024, reaching $29.8 billion in revenue, with concerts and festivals making up the bulk. While promising AI tools are emerging, adoption across daily workflows remains limited. Key gaps, especially in sustainability and administrative automation. This presents clear opportunities for future investment and development.
Innovation in Context: The Live Music Workflow Canvas
To ensure AI solutions align with real-world needs, IMEMS grounded its research in a workflow-based approach that maps the full lifecycle of concert production—from creative planning to logistics, admin, and safety. Developed in collaboration with EKHOSCENES and industry professionals, this framework reflects the sector’s complexity and digital fragmentation. The Live Music Workflow Canvas serves as a practical reference throughout the project, helping evaluate how each AI tool fits into the daily operations of live music professionals.
Positioning of AI Solutions within the Live Music Workflow
The 22 AI solutions identified through IMEMS were mapped onto the Live Music Workflow Canvas to show where they fit within the sector’s operational stages. This visual framework reveals which tasks each tool supports, how they interact with existing systems, and where opportunities lie. The mapping highlights areas of strong innovation, gaps with no current solutions, potential redundancies, and needs for better integration and interoperability.
AI Mapping as a Diagnostic Tool
This cross-mapping acts as a diagnostic tool, helping assess the readiness and applicability of AI in live music while highlighting emerging tech trends. Based on European submissions, this first iteration focuses on regional innovation, promoting collaboration, interoperability, and the growth of a connected MusicTech ecosystem across Europe.
An Evolving, Collaborative Mapping Effort
This mapping is a starting point, not a final snapshot. IMEMS aims to expand and refine it through ongoing dialogue with industry professionals and collaboration with initiatives like LiveMX. While rooted in Europe, the project is also informed by global innovation efforts such as Water & Music and Fairly Trained, which offer key insights into ethical AI, rights management, and generative tools. These international perspectives will help ensure that Europe’s live music sector stays aligned with responsible and inclusive global innovation.
Segment-by-Segment Analysis
AI solutions mapped by IMEMS are categorized across key functional segments of the live music value chain, defined in collaboration with industry professionals—particularly through workshops with Ekhoscènes.
This section offers a focused analysis of each segment, identifying active areas of innovation, pressing needs, and notable gaps.
While some segments show promising development, others remain underexplored, pointing to clear opportunities for future experimentation and growth.
Artistic Programming & Booking
This segment shows strong AI-driven innovation in artist discovery, curator matching, and collaborative booking. Tools like Bookr.fm, AIDAR, Piumosso, and Emerge enhance programming workflows through intelligent data integration and personalized recommendations.
Key potential: AI-assisted scouting, collaborative platforms, remote production
Remaining gaps: Adoption by smaller venues and integration with existing booking/CRM systems
Scenic Production & Experience
AI is driving innovation in live sound, visuals, and performance automation, offering tools for generative video, adaptive audio mixing, and creative expression. Solutions like Automix, OnstageAI, TapGig, and Origin Stories enable more immersive, efficient, and cost-effective productions.
Key potential: Enhanced audio/visuals, adaptive workflows, immersive experiences
Remaining gaps: Scalability for smaller venues and the need for modular, accessible solutions
Audience Management & Discoverability
One of the most active segments, this area sees robust AI use in marketing, fan engagement, and content creation. Tools like Kowl, FEST’AI, Lenny, and MNGRS.AI help artists and organizers tailor outreach, automate promotion, and enhance communication.
Key potential: Personalized marketing, smart campaign planning, artist growth
Remaining gaps: Data governance, user education, and integration with event platforms
Ticketing
Though still emerging, AI in ticketing shows promise in distribution and platform integration. Tools like Ticketr and SLOVE aim to unify services and enhance event visibility, especially for smaller venues.
Key potential: AI-optimized distribution, unified ticketing ecosystems
Remaining gaps: Transparency in dynamic pricing and integration with marketing, CRM, and access control systems
Administration
While less saturated, this segment shows strong potential for automation of routine tasks in live event operations. Tools like Connactz, Music Magnet, Vollou, and Aurismatic improve scheduling, reporting, and royalty tracking.
Key potential: Operational efficiency, accurate reporting, simplified finance and licensing
Remaining gaps: Wider adoption and seamless integration with existing back-office tools
Music Export
AI has strong potential to enhance international reach in music export by supporting tour planning, market analysis, and cross-border collaboration. Though underrepresented in current tools, key needs include data-driven tour routing, partner discovery, and market-specific audience building.
Current tools assist with audience heatmaps, language-adapted content, and artist matchmaking, but adoption is still low due to limited awareness and strategy. Moving forward, the sector needs tailored AI export platforms, shared data hubs, and closer collaboration between music professionals and tech developers to unlock AI’s full potential in global music mobility.
Ecological Transition &
Impact Measurement
AI’s role in sustainability and impact tracking is still in early stages, with limited tools currently available—yet the demand is clear. Industry voices stress the need for predictive planning, carbon modeling, and logistics dashboards to support greener live events. Existing tools offer basic insights, but broader adoption requires common metrics, pilot funding, and ethical design standards. As environmental urgency grows, this segment represents a crucial, high-potential area for AI-driven innovation in live music.
Context & Market Trends in MusicTech
Global music tech investment is largely focused on B2B infrastructure, data analytics, and rights management, with limited attention to live music technologies. This gap presents a clear opportunity to develop AI-driven tools tailored to the live sector’s needs. By doing so, Europe can lead innovation in a largely untapped segment of the global music tech landscape.