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142%
(5y)
145%
(1y)
6%
(3mo)

About Mubert

Mubert is an AI driven music generation platform that creates royalty free, customizable audio tracks in real time, widely used for content creation, streaming, and multimedia production.

Trend Decomposition

Trend Decomposition

Trigger: The demand for royalty free, instantly customizable music for videos, streams, and apps spurred development of AI generated soundscapes.

Behavior change: Creators increasingly generate unique background music on demand instead of relying on pre made libraries or manual composition.

Enabler: Advances in neural network music models, accessible APIs, and cloud based generation reduce cost and time to produce bespoke tracks.

Constraint removed: Copyright and licensing friction is minimized by on demand AI music generation with clear usage terms.

PESTLE Analysis

PESTLE Analysis

Political: Regulatory emphasis on digital content licensing and rights management influences acceptable use of AI generated audio.

Economic: Lowered production costs for creators expand monetizable content opportunities and reduce dependence on expensive composers.

Social: Growing demand for personalized, ambient soundscapes enhances user engagement and creator brand alignment.

Technological: Breakthroughs in generative AI for audio and real time processing enable high quality, streaming ready tracks.

Legal: Clarity around ownership and licensing of AI generated music shapes platform terms and user rights.

Environmental: Cloud based generation shifts some compute to data centers, with implications for energy efficiency and sustainability.

Jobs to be done framework

Jobs to be done framework

What problem does this trend help solve?

It provides instant, license cleared music tailored to specific scenes and moods.

What workaround existed before?

Vendors or creators manually sourced tracks, negotiated licenses, or compromised on generic library music.

What outcome matters most?

Speed and certainty of rights clearance at a predictable cost.

Consumer Trend canvas

Consumer Trend canvas

Basic Need: Create engaging multimedia experiences with appropriate, affordable sound.

Drivers of Change: Growth of video content, live streaming, and need for scalable audio branding.

Emerging Consumer Needs: Unique, adaptable soundtracks that match context and mood without licensing hassle.

New Consumer Expectations: Instant music generation with quality comparable to licensed tracks and clear usage rights.

Inspirations / Signals: Popularity of AI generated art and music across platforms; API enabled audio tools proliferate.

Innovations Emerging: Real time adaptive music, genre blending, and mood specific composition via AI.

Companies to watch

Associated Companies
  • Mubert - AI generated music platform enabling on demand, royalty free soundtracks for creators.
  • Endel - Personalized AI generated soundscapes for focus, relaxation, and sleep with licensing suitable for content use.
  • Aiva - AI composer producing original music for media and advertising with licensing options.
  • Soundraw - AI music generator for videos offering customizable tracks and licensing terms.
  • Amper Music - AI music platform that creates and licenses original tracks for content creators.
  • Boomy - AI assisted music creation with distribution and licensing features for creators.
  • LALAL.AI - AI based audio processing and generation tools used for music production and remixing.
  • Soundful - AI driven music creation platform aimed at scalable track production for video and streaming.
  • Jukedeck - Early AI music platform for automatically generated tracks (acquired by ByteDance/Times).
  • MusicLM (research/industry collaborations) - Advanced language model based music generation explored in research; licensing implications evolving.