AI Music Statistics

  1. 5% of musicians are already using AI in their productions.
  2. Of the 1,299 independent artists surveyed, 11% use AI for songwriting.
  3. 3% of the surveyed artists have used AI during the production process.
  4. 6% of these artists confirmed they’d used AI for mastering.
  5. 38% have used AI to create their music artwork.
  6. 1% of artists are open to using AI for songwriting in the future.
  7. 5% of artists would be comfortable using AI in the music production process in the future.
  8. 66% are on board with the idea of AI mastering them in the future.
  9. 5% of respondents said they would never use AI.
  10. Reasons for not using AI include lack of access to AI tools (28.4%), lack of time (24.8%), lack of perceived creativity (23.1%), affordability (17.1%), or a combination of these factors (6.6%).
  11. The global Generative AI in Music Market was valued at USD 229 million in 2022.
  12. The market growth is estimated to accelerate at a CAGR of 28.6%, potentially generating incremental revenue of USD 2.6 billion by 2032.
  13. The generative AI in music relies heavily on deep learning and analysis of large data sets.
  14. In 2022, the software segment generated the largest revenue share of 55% by component.
  15. The GANs segment dominated the market in terms of type, accounting for the largest global revenue of 41% in 2022.
  16. By application, the mastering music segment dominated the market with the largest revenue share of 30% in 2022.
  17. North America dominated the market in 2022, holding the highest revenue share of 35%.
  18. The Asia Pacific region is expected to grow significantly, with an unspecified CAGR from 2023-2032.
  19. Artists in the digital era are leaning more towards maintaining an online presence and producing visually captivating content for success and popularity.


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