Press release
Segmentation Analysis, Market Trends, and Competitive Landscape in the Generative Artificial Intelligence (AI) in Music Market
The integration of generative artificial intelligence (AI) in the music industry is set to revolutionize how music is created, produced, and experienced. As AI technologies advance, they are opening up exciting opportunities for artists, producers, and listeners alike. Here's an in-depth look at the projected market growth, key players, emerging trends, and the main segments driving this transformation through 2030.Market Expansion and Forecast for Generative Artificial Intelligence in Music
The generative artificial intelligence (AI) in music market is expected to expand rapidly in the coming years, reaching a value of $1.34 billion by 2030. This impressive growth corresponds to a compound annual growth rate (CAGR) of 23.9%. Key factors propelling this surge include the fusion of AI with virtual and augmented reality (VR/AR) music experiences, the advancement of transformer-based models for melody and harmony creation, and the rise of automated mastering and audio enhancement tools. Additionally, the growing use of AI for personalized music recommendations and increased collaboration between humans and AI in music production are significant contributors. Notable trends gaining traction involve AI-generated music composition, automated sound design and sampling, real-time music interaction, AI-supported lyrics and songwriting, as well as enhancements in music visualization and virtual performances.
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Leading Corporations Influencing the Generative AI Music Market
The generative AI music space is shaped by numerous influential companies driving innovation and adoption. Major players include Apple Inc; Alphabet Inc; Microsoft Corporation; Sony Group Corporation; Amazon Web Services Inc; IBM; NVIDIA Corporation; OpenAI Inc; Native Instruments USA Inc; Stability AI Ltd; SoundHound AI Inc; Moises Systems Inc; Boomy Corporation; Amper Music Inc; Mubert Inc; Vochlea Music Ltd; Aiva Technologies SARL; WaveAI Inc; Suno.ai; and Ecrett Music.
In a strategic move to boost its AI music production capabilities, Suno Inc., a US-based music tech firm, acquired WavTool Inc. in June 2025 for an undisclosed sum. WavTool is known for its AI-accelerated browser-based digital audio workstation (DAW), featuring VST plugin support, precise editing, live recording, stem separation, and an in-app chatbot designed for music editing.
Innovative Trends Reshaping the Future of Generative AI in Music
Industry leaders are actively developing cutting-edge AI tools that enhance creativity and streamline music production workflows. A prominent example is Stable Audio, an AI-driven music and sound generation platform that autonomously or collaboratively produces melodies, harmonies, rhythms, sound effects, and complete compositions.
Launched in September 2023 by UK-based Stability AI Ltd., Stable Audio utilizes the latest AI technologies to deliver faster, high-quality music creation via an intuitive online interface. It offers a free basic version for generating and downloading songs up to 20 seconds long and a paid 'Pro' membership allowing access to 90-second tracks suitable for commercial use. This platform equips musicians with advanced AI-based tools to create samples and compositions efficiently.
View the full generative artificial intelligence (ai) in music market report:
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Core Market Segments of the Global Generative AI Music Industry
This market is detailed across several key segments:
1) By Type: Generative Adversarial Networks (GANs), Augmented Reality Convolutional Neural Networks (AR-CNNs), and Transformer-Based Models.
2) By Component: Software and Services.
3) By Application: Music Composition, Music Mastering, Streaming Music, Sound Creation, and Other Uses.
Further breakdown includes:
- GANs focus on music composition and generation, style transfer and genre creation, as well as sound design and sampling.
- AR-CNNs cover music visualization and interaction, real-time music creation and manipulation, and virtual music performance enhancements.
- Transformer-Based Models specialize in music sequence generation, melody and harmony composition, and AI-assisted lyrics and songwriting tools.
This comprehensive segmentation highlights the diverse technological approaches and applications fueling growth in the generative AI music market.
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