Artificial Intelligence (AI) In Music Market - Strategic Insights and Forecasts (2025-2030)

AI In Music Market Size:

Artificial intelligence (AI) in Music Market is expected to grow at a CAGR of 15.62%, reaching a market size of US$3.581 billion in 2030 from US$1.722 billion in 2025.

AI In Music Market Trends:

In music, AI implies that artificial intelligence software applications have been integrated with music to facilitate the process of composing, mixing, and personalizing tracks. The application of AI software in music production processes has enabled music producers and artists to create new sounds and tunes.

Some of the major players in the AI music market include Landr, Amper Music, Izotope, and Brain.fm, Shazam, Splash, and Aiva Technologies. As a result, many musicians are adopting AI software to change their music composition style and individual listening playlists on streaming services where they produce or perform their songs. In this way, numerous music software applications have been developed to increase international music market consumption and the range of products offered by musicians.

The use of state-of-the-art music production tools and smart streaming services powered by artificial intelligence is driving the rapid expansion of the musical business into a new frontier. Organizations are investing in AI so that they can develop advanced algorithms capable of creating new songs, creating personalized soundtracks, or aiding music education. Additionally, another factor that adds to this growth is the expanded use of AI technology in gadgets like smart speakers and mobile phones, allowing many people to easily access AI-infused music apps.

AI In Music Market Growth Drivers:

• Advancement in AI software and technology are anticipated to increase the demand

Properties of AI software are widely used in many industries, including the music industry, due to continuous evolution and development. These developments have opened new avenues for music composition in the context of AI software. One such technique is "riffusion," which is creating music using AI computer vision rather than voice and sound recognition software. Riffusion is a technique that allows soundtracks to be created by utilizing the visual cues connected to different notes used in various musical genres. The expansion of AI in the music market is expected to be driven by major factors over the forecast period. These factors include increased research and development related to AI applications, leading to new music production methods, as well as the widespread increase in the consumption of music streaming services.

• Increasing use of smartphones is anticipated to drive market growth

The development of generative AI in the music industry is propelled by increasing smartphone usage for the foreseeable future. This is because smartphones merge the functions of a mobile phone and a computer into one device, thus allowing users to receive personal emails, use their data storage, and access the internet. Their popularity can be attributed to various factors such as connectivity, flexibility, socio-cultural factors, affordable cost, and availability. As smartphones continue becoming ubiquitous globally, millions more generate music from Generative AI-enabled platforms and applications due to their commonplace nature. These applications enable people to write songs, remix, and produce music on their phones, eliminating the need to purchase expensive studio instruments or specialized software.

• Increasing demand for music streaming recommendations is augmenting the market growth

AI has taken the lead in the music industry for streaming recommendations as it can keep up with consumers' growing demand for personalized music experiences. In an era where digitized music platforms are skyrocketing, the overwhelming volume of songs, albums, and playlists can be daunting for users trying to discover their preferred music. AI giants have established recommendation engines that utilize user-related data to create personalized music for listeners to tackle this issue.

Thus, these systems can grow user retention levels through novel content that best suits their choices, all based on the information they have collected about them before. Furthermore, with the commitment received from users, including feedback on what should be played next or who else to follow, there will always be an improvement in these algorithms’ accuracy and relevance.

AI In Music Market Restraints:

• The probability of ethical risks is anticipated to impede market growth

The applications of AI software and machine learning models in music composition and customization processes require a pre-recorded dataset for the application to understand the music composition procedures and produce new music. However, copyright and ethical issues are associated with using music tracks and records for such purposes. In addition, there is also a possibility of partial and mixed plagiarism in applying AI-powered tools in music production. These limitations could be mitigated by further research and development of better-performing AI music applications and software.

Moreover, AI technology can produce technically complex and precise music, but it often lacks the human touch and emotional nuance found in music composed and performed by humans. The crux of this issue lies in the difficulty of emulating the intricate expressions, subtle nuances, and quirks that give music its significance and authenticity.

AI In Music Market Geographical Outlook:

• Asia Pacific is witnessing exponential growth during the forecast period

Asia Pacific is experiencing significant growth in their media and entertainment industry and is witnessing high levels of music consumption across consumers and other media platforms. This has driven the demand for more efficient and effective AI solutions for the music industry. This, in turn, has spurred investment in various AI applications that can be employed across various activities in the music industry. For instance, an AI-assisted music technology software, Beatoven.ai, is provided in India, which helps generate original music scores for various YouTube channels, wedding videography firms, and marketing agencies. In addition to this, the music industries of South Korea, Japan, China, and India are expanding rapidly.

AI In Music Market Key Developments:

• October 2025: Spotify Partners with Sony, Universal, Warner for AI Music Development. Spotify announced a multi-year partnership with Sony Music, Universal Music Group, Warner Music Group, and others to develop AI music products that empower artists, including tools for personalized content creation and ethical AI training on licensed data. (Source: 
• October 2025: Universal Music and Warner Near Landmark AI Licensing Agreements. Universal Music Group and Warner Music Group are finalizing AI licensing deals to allow AI developers access to their catalogs for training models, marking a shift toward regulated AI music generation and addressing copyright concerns. 
• August 2025: Variety Reports AI's Transformative Role in Music Industry Trends. Variety's 2025 analysis highlights AI's impact on music, including slowed streaming growth and AI-powered tools for composition and personalization, urging industry adaptation amid ethical debates on human artistry.
• April 2024, with AI Playlist in Beta, Spotify premium users can now create a custom playlist out of any idea. With AI Playlist, users only need to type a special prompt into the chat window to create a new playlist. This feature is initially available to users on Android and iOS devices in Australia and the United Kingdom. 

List of Top AI In Music Companies:

• iZotope
• Aiva Technologies
• Amper Music (Shutterstock Inc)
• BRAINFM Inc
• LANDR

Artificial Intelligence (AI) In Music Market Scope:

Artificial Intelligence (AI) in Music Market Segmentation:

• By Application
  • Personalization
  • Music Composition
  • Audio Mixing
• By Geography
  • North America
  • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Singapore
    • Indonesia
    • Others

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