- 5% of musicians are already using AI in their productions.
- Of the 1,299 independent artists surveyed, 11% use AI for songwriting.
- 3% of the surveyed artists have used AI during the production process.
- 6% of these artists confirmed they’d used AI for mastering.
- 38% have used AI to create their music artwork.
- 1% of artists are open to using AI for songwriting in the future.
- 5% of artists would be comfortable using AI in the music production process in the future.
- 66% are on board with the idea of AI mastering them in the future.
- 5% of respondents said they would never use AI.
- 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%).
- The global Generative AI in Music Market was valued at USD 229 million in 2022.
- The market growth is estimated to accelerate at a CAGR of 28.6%, potentially generating incremental revenue of USD 2.6 billion by 2032.
- The generative AI in music relies heavily on deep learning and analysis of large data sets.
- In 2022, the software segment generated the largest revenue share of 55% by component.
- The GANs segment dominated the market in terms of type, accounting for the largest global revenue of 41% in 2022.
- By application, the mastering music segment dominated the market with the largest revenue share of 30% in 2022.
- North America dominated the market in 2022, holding the highest revenue share of 35%.
- The Asia Pacific region is expected to grow significantly, with an unspecified CAGR from 2023-2032.
- 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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