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Generative Artificial Intelligence (AI) In Music Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market size for generative artificial intelligence (AI) in music has experienced substantial growth in recent years. This market is projected to expand from $0.44 billion in 2025 to $0.57 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 28.5%. The factors driving this historical growth include the rise of digital audio workstations (daws), increasing adoption of electronic music production, the growth of streaming platforms, advancements in neural networks for music generation, and the emergence of ai-assisted music tools.
The generative artificial intelligence (AI) in music market is anticipated to experience significant expansion over the coming years, reaching $1.34 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 23.9%. This projected growth is driven by several factors, including the incorporation of AI into VR/AR music experiences, the development of transformer-based models for melody and harmony, the rise of automated mastering and audio enhancement tools, the use of AI for tailored music recommendations, and increasing cooperation between humans and AI in music production. Key trends expected during this period encompass AI-driven music composition and generation, automated sound design and sampling, real-time music creation and interaction, AI-supported lyrics and songwriting, and enhancements in music visualization and virtual performances.
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#Generative Artificial Intelligence (AI) In Music Market Demand Drivers Creating New Revenue Opportunities
The expanding presence of smartphones is anticipated to fuel the advancement of generative artificial intelligence (AI) within the music market. Smartphones are devices combining mobile phone capabilities with portable computing functions, typically offering email, data storage, and internet connectivity. Their widespread embrace is attributed to factors such as connectivity, diverse functionalities, societal and cultural influences, affordability, and ease of access. This broad adoption means millions globally can access numerous music creation applications and platforms utilizing Generative AI. These applications enable users to compose, remix, and produce music directly on their smartphones, removing the necessity for costly studio gear or specific software. For example, BankMyCell, a telecommunications firm based in New York, stated in May 2024 that the worldwide smartphone user base reached 4.88 billion, indicating that 60.42% of the global population possesses a smartphone. Active smartphone subscriptions globally sum up to 7.21 billion when considering individuals with multiple devices. Forecasts suggest smartphone users might climb to 6.38 billion by 2029, representing a 30.73% growth over five years. Consequently, the expanding penetration of smartphones is stimulating the development of generative artificial intelligence (AI) within the music market.
Generative Artificial Intelligence (AI) In Music Market Segmentation And Category Breakdown
The generative artificial intelligence (AI) in music market covered in this report is segmented –
1) By Type: Generative Adversarial Networks (GANs), Augmented Reality Convolutional Neural Networks (AR-CNNs), Transformer-Based Models
2) By Component: Software, Services
3) By Application: Composition Of Music, Music Mastering, Streaming Music, Making Of New Sounds, Other Applications
Subsegments:
1) By Generative Adversarial Networks (Gans): Music Composition And Generation, Style Transfer And Genre Creation, Sound Design And Sampling
2) By Augmented Reality Convolutional Neural Networks (AR-CNNs): Music Visualization And Interaction, Real-Time Music Creation And Manipulation, Virtual Music Performance Enhancements
3) By Transformer-Based Models: Music Sequence Generation, Melody And Harmony Composition, Lyrics And Songwriting AI Tools
Generative Artificial Intelligence (AI) In Music Market Strategic Trends: What Is Defining The Next Phase Of Growth?
Leading companies in the generative artificial intelligence (AI) in the music market are developing innovative AI tools for music and sound generation, such as Stable Audio, to enhance creativity, streamline workflows, and inspire innovative compositions. Stable Audio is a music and sound generation AI tool capable of generating melodies, harmonies, rhythms, sound effects, and entire musical compositions autonomously or in collaboration with human users. For instance, in September 2023, Stable Audio was launched by Stability AI Ltd., a UK-based free and open-source generative AI company. It delivers faster, higher-quality music through an intuitive online interface by utilizing the most recent artificial intelligence (AI) algorithms. Stable Audio is available in two main formats: the basic free edition, which allows for creating and downloading songs up to 20 seconds long, and the ‘Pro’ membership, providing 90-second tracks that can be downloaded for commercial projects. Stable Audio offers musicians a solution to create samples for their songs with the help of the latest AI technologies.
Generative Artificial Intelligence (AI) In Music Market Competitive Analysis Of Major Industry Participants
Major companies operating in the generative artificial intelligence (AI) in music market are Apple Inc; Alphabet Inc; Microsoft Corporation; Sony Group Corporation; Amazon Web Services Inc; International Business Machines Corporation (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; Ecrett Music
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Generative Artificial Intelligence (AI) In Music Market Regional Outlook: Where Are The Largest Opportunities Located?
North America was the largest region in the generative artificial intelligence (AI) in music market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in music market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.