Global Generative AI in Music Market Size, Share, and COVID-19 Impact Analysis, Russia-Ukraine War Impact, Tariff Analysis, By Technology (Transformers, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Others), By Application (Automated Music Composition, Music Arrangement and Orchestration, Music Style Transfer and Remixing, Sound Synthesis and Design, Music Personalization and Recommendation, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2025-2035

Generative AI in Music Market Summary, Size & Emerging Trends

According to Spherical Insights, the Global Generative AI in Music Market Size is Expected to Grow from USD 558.4 Million in 2024 to USD 7410.4 Million by 2035, at a CAGR of 26.5 % during the forecast period 2025-2035. Generative AI is enabling the music industry to create opportunities for creative content development, tailored compositions, enhanced production efficiency, cost savings, democratization of music-making, and new revenue streams through personalized audio experiences.

Key Market Insights

• North America is expected to account for the largest share in the Generative AI in Music market during the forecast period.
• In terms of technology the transformers segment is projected to lead the Generative AI in Music market in terms of equipment throughout the forecast period
• In terms of Application, the automated music composition segment captured the largest portion of the market

Global Market Forecast and Revenue Outlook

• 2024 Market Size: USD 558.4 Million  
• 2035 Projected Market Size: USD 7410.4 Million  
• CAGR (2025-2035): 26.5 %
• Asia Pacific: Largest market in 2024
• North America: Fastest growing market

Generative AI in Music Market

The use of cutting-edge artificial intelligence algorithms to independently compose, generate, and create musical content is known as generative AI in music market. These systems create novel melodies, harmonies, rhythms, and even lyrics without direct human input by utilizing machine learning models, especially deep learning, to evaluate enormous volumes of existing music data. Traditional music production methods are being transformed by this technology, which makes it possible to create a wide variety of musical compositions that are suited to particular genres, moods, or user preferences. Additionally, it allows listeners to have more individualized music experiences and provides new resources for musicians, producers, and music industry companies to better develop and interact with consumers. For Instance, in February 2024, Google LLC launched MusicFX, an improved version of MusicLM, a tool for creating music. Using text prompts, MusicFX allows users to compose and change tracks up to 70 seconds in length. It also provides a word cloud and alternate description choices for more sophisticated music creation. Technological developments that have increased artificial intelligence's (AI) capabilities and accessibility are driving the generative AI in the music market. The growing need for individualized music experiences, the integration of AI in music creation and distribution, and developments in AI technology are the main drivers of generative AI in music market expansion.  

Generative AI in Music Market Trends

• Growing use of AI-powered systems for automated music production and composition in a variety of genres.
• Increased use of generative AI algorithms to create individualized music experiences based on listener preferences.
• expanded utilization of AI-assisted human-machine collaboration to improve creative processes.
• Increasing generative AI integration in music licensing and streaming platforms allows for creative content monetization strategies.

Generative AI in Music Market Dynamics

Driving Factors: On-demand platforms drive growth of generative AI.

The development of generative AI in music is also being driven by the emergence of on-demand music platforms and personalized content. The growing desire for individualized music experiences is one of the main drivers of this growth. AI-powered platforms also expedite tasks like editing and mastering, which lowers the time and expense involved in conventional music production. Demand is rising as a result of the music industry's growing use of generative AI, especially in interactive entertainment, marketing, and education. The democratization of music production and the removal of production restrictions are driving the market's notable expansion.     

Restrain Factors: Music industry resists generative AI over copyrights.

The music industry's reluctance to embrace generative AI is due to issues with copyright infringement and intellectual property rights. Financial difficulties are also brought on by the high expenses of creating and deploying cutting-edge AI technologies. The slower integration of generative AI in the music industry is also a result of potential opposition from conventional musicians and industry stakeholders, as well as restricted availability to high-quality datasets.

Opportunity: Generative AI revolutionizes content creation in music.

The generative AI is transforming the production and creation of content; it has enormous potential in the music industry. AI-powered personalization makes it possible to create customized music experiences that suit each listener's tastes and increase user engagement. Furthermore, generative AI facilitates artist-machine collaborative workflows, which promote creativity and increase the range of artistic possibilities. Additionally, it creates new revenue streams for the gaming, advertising, and entertainment industries through personalized soundtracks and adaptable music. All things considered, generative AI propels productivity, innovation, and market growth in the music sector.

Challenges: Legal and ethical issues hinder AI adoption.

The legal and ethical issues surrounding copyright infringement and intellectual property rights are among the obstacles to the mainstream deployment of generative AI in the music industry. Technical constraints also exist, such as the caliber and uniqueness of compositions produced by AI. Smaller organizations have financial challenges due to the high cost of development and integration. Additionally, industry stakeholders' and traditional artists' reluctance hinders uptake.

Global Generative AI in Music Market Ecosystem Analysis

Technology developers, music producers, artists, streaming services, and application are all part of the global ecosystem of the generative AI music market. Advanced AI algorithms and tools are made available by technology vendors, allowing for automated music production and composition. These technologies are used by musicians and music producers to improve efficiency and creativity. Customers gain from customized music experiences, and streaming services use generative AI to provide personalized material. Furthermore, market dynamics are influenced by intellectual property frameworks and regulatory organizations. The worldwide music business is driven by this interconnected ecosystem to innovate, adopt, and commercialize generative AI.

Global Generative AI in Music Market, By Technology

The transformers segment led the generative AI in music market, generating the largest revenue share. Transformers are the market due to their capacity to grasp long-range interdependence in music creation and represent intricate sequences. Their architecture was first created for natural language processing, but it works incredibly well to produce music that is contextually rich and coherent by recognizing patterns over long periods of time.

The variational autoencoders (VAEs) segment in the generative AI in music market is expected to grow at the fastest CAGR over the forecast period. VAEs are useful for musicians and producers looking for distinctive sounds since they are very good at creating musical variants that preserve stylistic aspects while adding originality.

Global Generative AI in Music Market, By Application

The automated music composition segment held the largest market share in the generative AI in music market. The ability to generate entire songs in a variety of styles and genres makes automated music composition an effective tool for content producers, ranging from huge production companies to independent musicians. Automated systems are becoming a growing trend in applications where scalable and fast music production is crucial, such as background music for games, ads, and videos.  

The music personalization and recommendation segment in the Generative AI in Music market is projected to register the fastest CAGR. The suggestion and personalization of music is expanding quickly as streaming services and music platforms use AI to provide incredibly customized listening experiences.  

North America is expected to account for the largest share of the generative AI in music market during the forecast period.

The region is home to leading tech companies and startups pioneering AI innovations in music production and streaming services. Moreover, a large and diverse music industry in North America drives demand for advanced AI tools that can enhance creativity and efficiency. The region's high adoption rate of new technologies and AI-driven platforms further contributes to its leading market share.  

The United States is experiencing steady growth in the generative AI in music market.

Record labels, streaming services, and music producers make up the U.S.'s thriving music industry, and they are all early users of AI to obtain a competitive edge. Additionally, American consumers are tech-savvy, which increases their use of AI-powered music services.  

Asia Pacific is expected to grow at the fastest CAGR in the generative AI in music market during the forecast period.

With the combination of its huge, tech-savvy population and the growing popularity of music streaming services, the Asia-Pacific area is seeing tremendous industry expansion. China, Japan, and South Korea are among the nations with some of the most cutting-edge tech companies in the world, and they are also making significant investments in AI technologies.    

China is the largest market for Generative AI in Music is propelled by its extensive digital infrastructure, substantial investments in artificial intelligence technology, and a quickly growing online music industry, the nation has established itself as a major player in the music innovation landscape of Asia-Pacific.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the generative AI in music market, along with a comparative evaluation primarily based on their type of offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborate analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market. 

WORLDWIDE TOP KEY PLAYERS IN THE GENERATIVE AI IN MUSIC MARKET INCLUDE

• Google LLC
• LANDR
• Meta
• Udio
• OpenAI
• Stability AI
• SOUNDRAW
• Suno.ai
• Microsoft
• Ecrett Music
• Vochlea Music
• Sony Group Corp.
• Boomy Corporation
• Aiva Technologies SARL
• Others

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities
• Consulting And Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Product Launches in generative AI in music

• In June 2024, the AI research group of Meta Platforms launched JASCO, a new tool that creates complete musical songs from chords or beats. More control over AI-generated music is available to producers with this technology. By making JASCO's research and models publicly available, Meta promotes cooperation throughout the international AI community and advances AI music technology in the wake of MusicGen's success.

• In May 2024, Google LLC announced Veo, a new AI video-generating model that uses DeepMind's Gemini model for improved consistency and quality. Veo can produce 1080p videos using text, photos, and other media. Google debuted Imagen 3, an enhanced picture creation technology that produces more lifelike images with better detail and faster comprehension, with Veo.   

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the generative AI in music market based on the below-mentioned segments: 

Global Generative AI in Music Market, By Technology  

• Transformers
• Variational Autoencoders (VAEs)
• Generative Adversarial Networks (GANs)
• Diffusion Models
• Others

Global Generative AI in Music Market, By Application  

• Automated Music Composition
• Music Arrangement and Orchestration
• Music Style Transfer and Remixing
• Sound Synthesis and Design
• Music Personalization and Recommendation
• Others

Global Generative AI in Music Market, By Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa