Market overview
Published on 11Press : In 2022, Global generative AI in the music market estimated at US$229 million projected to experience a compound annual growth rate of 28.6% By 2032 – reaching expectations of US$2,833 million by that year.
Generative AI music production and consumption is an ever-expanding market that is revolutionizing the way music is produced and consumed. Generative AI uses algorithms and machine learning models to generate unique and original music. Its popularity has skyrocketed over the years due to its ability to create music that is not only innovative but can easily satisfy the tastes of its users.
The global generative AI in the music market can be divided into three broad categories: applications, deployment models, and geographies. Based on application, this market can be further segmented into music production, music production, and live performance. Music production is expected to hold the largest market share due to its ability to create fresh new sounds. While the on-premises deployment model is expected to offer greater scalability, flexibility, and cost efficiency, the cloud deployment model can scale rapidly while remaining flexible in terms of cost effectiveness and scaling requirements, thereby reducing costs. can be reduced.
Geographically, North America is expected to hold the highest market share during the forecast period due to the presence of major players in the region and high adoption of generative AI. Europe and Asia Pacific should see significant growth throughout this period due to the growing adoption of AI-powered music platforms in these regions.
Major players in the market for generative AI in music include AIVA, Amper Music, OpenAI, Google LLC, Sony Corporation, IBM Corporation, and Magenta. Each company strives to stay at the forefront of innovation through product creation, partnerships, and collaborations, expand their market presence, and gain competitive advantage in this niche industry.
For more information on key revenue-generating segments, request Pricing Optimization Software Market Request PDF Sample Report
important point
- In 2022, global generative AI in the music market is valued at US$229 million. It is estimated that during 2023-2032, this market will register the highest CAGR of 28.6%. It is expected to reach US$2,833 million by 2032.
- Growing consumer interest in personalized music is driving market expansion, but the ability to create original songs is likely to keep songwriting the dominant form during the forecast period. I have.
- Cloud-based deployment model is projected to hold the largest market share as it can offer scalability, flexibility, and cost-effectiveness.
- North America is anticipated to hold the largest market share during the forecast period due to the presence of major players and high adoption of generative AI in the region.
Region snapshot
- North America is expected to hold the highest market share during the forecast period due to the presence of major players and the high adoption rate of generative AI technologies in the region.
- Europe and Asia-Pacific are expected to witness significant growth during the forecast period due to the increasing adoption of AI-powered music platforms in these regions.
- With major players like OpenAI, Google, and IBM, North America should lead the US in terms of market power.
- Across Europe, the UK is expected to see significant growth due to the growing adoption of AI-powered music platforms in the region.
- Asia-Pacific countries such as China, Japan and South Korea are expected to see significant growth as AI-powered music platforms become more widely adopted and demand for personalized music content increases in these markets. It has been.
driver
- Growing demand for personalized music: Generative AI technology in music allows users to create their own customized songs, providing a major source of market expansion.
- Increasing adoption of AI-based music platforms by music production companies: Music production companies are increasingly embracing AI-powered music platforms as a valuable way to create new and groundbreaking music while reducing costs, saving time and effort.
- Ability to create new and unique music: Music Creation with Generative AI provides the ability to create original and distinctive songs, which is essential for the growth of the market.
- Technological advances: Advances in artificial intelligence technologies such as machine learning and deep learning have made great strides towards expanding the capabilities of generative AI in music, driving the expansion of the market.
Restraint
- Lack of AI technology understanding and expertise: The unfamiliarity and lack of proficiency of music professionals and artists in using AI is an obstacle to market growth.
- ethical issues: The use of AI in music production raises ethical considerations such as ownership and authenticity of the work. These issues may hinder its widespread adoption in music.
- AI-based music platform costs: The implementation costs associated with AI-based music platforms can be a major impediment to market growth for smaller music production companies.
- Customizability issues: Generative AI music enables a customized listening experience, but customization options may be limited, hindering widespread adoption.
chance
- The entertainment industry offers an excellent playing field for generative AI music production. Movies, TV shows, and video games are increasingly demanding AI-generated songs to enhance their productions.
- Integration of generative AI music with other technologies: Combining generative AI music production with other technologies such as virtual and augmented reality can open up new avenues for market growth.
- Emerging market growth potential: Emerging markets such as Asia Pacific and Latin America have great opportunities for generative AI to gain market share due to the increasing adoption of technology in these regions.
Theme
- Lack of standardization: One of the main barriers to adopting generative AI in music production is its lack.
- Legal and Ethical Concerns: The use of AI in music production raises legal and ethical considerations of ownership and authenticity, which can be challenging in terms of market expansion.
- Limited knowledge and understanding of AI technology: Music professionals and artists who do not have sufficient understanding or expertise in artificial intelligence technology are a major obstacle to market expansion.
- Quality of music produced: Music produced by generative AI does not always meet user and professional expectations in terms of quality.
Recent development
- In April 2021, OpenAI released Jukebox, a neural network capable of generating music in a wide range of genres and styles.
- In June 2021, AI-based composition platform AIVA signed a deal with Warner Music Group to create AI-generated music for the label’s artists.
- In August 2021, AI-based music composition platform Amper Music raised $15 million in a Series A funding round to expand its service and grow its team.
- In September 2021, Sony announced the launch of AI-based music-making software called Flow Machines, which uses machine learning to create music.
Major market segments
By component
By type
- GANs
- AR-CNN
- transformer-based model
by application
- Composition of music
- music mastering
- music streaming
- making new sounds
- Other applications
market key player
- Shutterstock Co., Ltd.
- Aiba Technologies SARL.
- soundful
- Eclette music
- boomy corporation
- Open AI
- amadeus code
- Other major players
Reporting scope
| report attribute | detail |
| Market size value in 2022 | US$229 million |
| Revenue projections to 2032 | US$2,833 million |
| growth rate | CAGR 28.6% |
| Target area | North America, Europe, Asia Pacific, Latin America, Middle East and Africa, rest of the world |
| historic year | 2017-2022 |
| base year | 2022 |
| estimated year | 2023 |
| Short-term forecast year | 2028 |
| Long-term forecast year | 2032 |
FAQ
Q: What is generative AI in music?
A: Generative AI in music refers to using artificial intelligence to create new and unique musical compositions.
Q: What are the applications of generative AI in music?
A: Applications of generative AI in music include creating personalized music, music production, and creating music for movies, TV shows, and video games.
Q: What are the benefits of generative AI in music?
A: Benefits of generative AI in music include the ability to create new and unique music, the ability to reduce the cost and time of music production, and the ability to create personalized music.
Q: What are the challenges of generative AI in music?
A: Challenges of generative AI in music include lack of standardization, legal and ethical concerns, limited understanding and expertise of AI technology, and the quality of the music produced.
Q: Which regions are expected to see significant growth in generative AI in the music market?
A: North America, Europe, and Asia-Pacific are expected to see significant growth in generative AI in the music market, with North America expected to hold the largest market share.
Content published on 11press. For more information, please contact us. [email protected]
Prudor Private Limited
The team behind market.us, marketresearch.biz, market.biz and more. Our aim is to lead our customers in terms of the market. They can fluctuate up and down, but we help you stay ahead of these market fluctuations. Our consistent growth and ability to provide in-depth analysis and market insights have attracted true market players. They trust us to provide them with the data and information they need to make balanced and decisive marketing decisions.
