Global Generative AI in Music 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI11244180

Publication Date:

November 11, 2024

Pages:

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

Generative AI in music refers to the use of generative models (such as Generative Adversarial Networks, Transformer models, etc.) to automatically create or assist in the creation of music. Generative AI can analyze large amounts of existing music data, learning its structures, melodies, rhythms, and chord progressions, and then generate new musical pieces or complete works. This technology can be applied in music composition, arranging, sound design, and other fields, helping musicians with creative exploration or providing background music for commercials, films, games, and more.
The global Generative AI in Music market size is projected to grow from US$ 563 million in 2024 to US$ 2932 million in 2030; it is expected to grow at a CAGR of 31.6% from 2024 to 2030.
LPI (publisher)' newest research report, the 鈥淕enerative AI in Music Industry Forecast鈥� looks at past sales and reviews total world Generative AI in Music sales in 2022, providing a comprehensive analysis by region and market sector of projected Generative AI in Music sales for 2023 through 2029. With Generative AI in Music sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative AI in Music industry.
This Insight Report provides a comprehensive analysis of the global Generative AI in Music landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Generative AI in Music portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Generative AI in Music market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative AI in Music and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Generative AI in Music.
United States market for Generative AI in Music is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Generative AI in Music is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Generative AI in Music is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Generative AI in Music players cover Aiva Technologies SARL, Boomy Corporation, Ecrett Music, Google LLC, International Business Machines Corporation, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Generative AI in Music market by product type, application, key players and key regions and countries.
Segmentation by Type:
Transformers
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Diffusion Models
Others
Segmentation by Application:
Music Production and Recording
Film and Television
Video Games and Interactive Entertainment
Advertising and 麻豆原创ing
Music Education and Training
Streaming Services and Music Platforms
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
Transformers
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Diffusion Models
Others
Segmentation by Application:
Music Production and Recording
Film and Television
Video Games and Interactive Entertainment
Advertising and 麻豆原创ing
Music Education and Training
Streaming Services and Music Platforms
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Aiva Technologies SARL
Boomy Corporation
Ecrett Music
Google LLC
International Business Machines Corporation
LANDR
Meta
Microsoft
OpenAI
Stability AI

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Generative AI in Music 麻豆原创 Size 2019-2030
2.1.2 Generative AI in Music 麻豆原创 Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Generative AI in Music by Country/Region, 2019, 2023 & 2030
2.2 Generative AI in Music Segment by Type
2.2.1 Transformers
2.2.2 Variational Autoencoders (VAEs)
2.2.3 Generative Adversarial Networks (GANs)
2.2.4 Diffusion Models
2.2.5 Others
2.3 Generative AI in Music 麻豆原创 Size by Type
2.3.1 Generative AI in Music 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Generative AI in Music 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Generative AI in Music Segment by Application
2.4.1 Music Production and Recording
2.4.2 Film and Television
2.4.3 Video Games and Interactive Entertainment
2.4.4 Advertising and 麻豆原创ing
2.4.5 Music Education and Training
2.4.6 Streaming Services and Music Platforms
2.4.7 Others
2.5 Generative AI in Music 麻豆原创 Size by Application
2.5.1 Generative AI in Music 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Generative AI in Music 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Generative AI in Music 麻豆原创 Size by Player
3.1 Generative AI in Music 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Generative AI in Music Revenue by Player (2019-2024)
3.1.2 Global Generative AI in Music Revenue 麻豆原创 Share by Player (2019-2024)
3.2 Global Generative AI in Music Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Generative AI in Music by Region
4.1 Generative AI in Music 麻豆原创 Size by Region (2019-2024)
4.2 Global Generative AI in Music Annual Revenue by Country/Region (2019-2024)
4.3 Americas Generative AI in Music 麻豆原创 Size Growth (2019-2024)
4.4 APAC Generative AI in Music 麻豆原创 Size Growth (2019-2024)
4.5 Europe Generative AI in Music 麻豆原创 Size Growth (2019-2024)
4.6 Middle East & Africa Generative AI in Music 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Generative AI in Music 麻豆原创 Size by Country (2019-2024)
5.2 Americas Generative AI in Music 麻豆原创 Size by Type (2019-2024)
5.3 Americas Generative AI in Music 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Generative AI in Music 麻豆原创 Size by Region (2019-2024)
6.2 APAC Generative AI in Music 麻豆原创 Size by Type (2019-2024)
6.3 APAC Generative AI in Music 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Generative AI in Music 麻豆原创 Size by Country (2019-2024)
7.2 Europe Generative AI in Music 麻豆原创 Size by Type (2019-2024)
7.3 Europe Generative AI in Music 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Generative AI in Music by Region (2019-2024)
8.2 Middle East & Africa Generative AI in Music 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Generative AI in Music 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Generative AI in Music 麻豆原创 Forecast
10.1 Global Generative AI in Music Forecast by Region (2025-2030)
10.1.1 Global Generative AI in Music Forecast by Region (2025-2030)
10.1.2 Americas Generative AI in Music Forecast
10.1.3 APAC Generative AI in Music Forecast
10.1.4 Europe Generative AI in Music Forecast
10.1.5 Middle East & Africa Generative AI in Music Forecast
10.2 Americas Generative AI in Music Forecast by Country (2025-2030)
10.2.1 United States 麻豆原创 Generative AI in Music Forecast
10.2.2 Canada 麻豆原创 Generative AI in Music Forecast
10.2.3 Mexico 麻豆原创 Generative AI in Music Forecast
10.2.4 Brazil 麻豆原创 Generative AI in Music Forecast
10.3 APAC Generative AI in Music Forecast by Region (2025-2030)
10.3.1 China Generative AI in Music 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Generative AI in Music Forecast
10.3.3 Korea 麻豆原创 Generative AI in Music Forecast
10.3.4 Southeast Asia 麻豆原创 Generative AI in Music Forecast
10.3.5 India 麻豆原创 Generative AI in Music Forecast
10.3.6 Australia 麻豆原创 Generative AI in Music Forecast
10.4 Europe Generative AI in Music Forecast by Country (2025-2030)
10.4.1 Germany 麻豆原创 Generative AI in Music Forecast
10.4.2 France 麻豆原创 Generative AI in Music Forecast
10.4.3 UK 麻豆原创 Generative AI in Music Forecast
10.4.4 Italy 麻豆原创 Generative AI in Music Forecast
10.4.5 Russia 麻豆原创 Generative AI in Music Forecast
10.5 Middle East & Africa Generative AI in Music Forecast by Region (2025-2030)
10.5.1 Egypt 麻豆原创 Generative AI in Music Forecast
10.5.2 South Africa 麻豆原创 Generative AI in Music Forecast
10.5.3 Israel 麻豆原创 Generative AI in Music Forecast
10.5.4 Turkey 麻豆原创 Generative AI in Music Forecast
10.6 Global Generative AI in Music Forecast by Type (2025-2030)
10.7 Global Generative AI in Music Forecast by Application (2025-2030)
10.7.1 GCC Countries 麻豆原创 Generative AI in Music Forecast
11 Key Players Analysis
11.1 Aiva Technologies SARL
11.1.1 Aiva Technologies SARL Company Information
11.1.2 Aiva Technologies SARL Generative AI in Music Product Offered
11.1.3 Aiva Technologies SARL Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 Aiva Technologies SARL Main Business Overview
11.1.5 Aiva Technologies SARL Latest Developments
11.2 Boomy Corporation
11.2.1 Boomy Corporation Company Information
11.2.2 Boomy Corporation Generative AI in Music Product Offered
11.2.3 Boomy Corporation Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 Boomy Corporation Main Business Overview
11.2.5 Boomy Corporation Latest Developments
11.3 Ecrett Music
11.3.1 Ecrett Music Company Information
11.3.2 Ecrett Music Generative AI in Music Product Offered
11.3.3 Ecrett Music Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 Ecrett Music Main Business Overview
11.3.5 Ecrett Music Latest Developments
11.4 Google LLC
11.4.1 Google LLC Company Information
11.4.2 Google LLC Generative AI in Music Product Offered
11.4.3 Google LLC Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 Google LLC Main Business Overview
11.4.5 Google LLC Latest Developments
11.5 International Business Machines Corporation
11.5.1 International Business Machines Corporation Company Information
11.5.2 International Business Machines Corporation Generative AI in Music Product Offered
11.5.3 International Business Machines Corporation Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 International Business Machines Corporation Main Business Overview
11.5.5 International Business Machines Corporation Latest Developments
11.6 LANDR
11.6.1 LANDR Company Information
11.6.2 LANDR Generative AI in Music Product Offered
11.6.3 LANDR Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 LANDR Main Business Overview
11.6.5 LANDR Latest Developments
11.7 Meta
11.7.1 Meta Company Information
11.7.2 Meta Generative AI in Music Product Offered
11.7.3 Meta Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 Meta Main Business Overview
11.7.5 Meta Latest Developments
11.8 Microsoft
11.8.1 Microsoft Company Information
11.8.2 Microsoft Generative AI in Music Product Offered
11.8.3 Microsoft Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Microsoft Main Business Overview
11.8.5 Microsoft Latest Developments
11.9 OpenAI
11.9.1 OpenAI Company Information
11.9.2 OpenAI Generative AI in Music Product Offered
11.9.3 OpenAI Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 OpenAI Main Business Overview
11.9.5 OpenAI Latest Developments
11.10 Stability AI
11.10.1 Stability AI Company Information
11.10.2 Stability AI Generative AI in Music Product Offered
11.10.3 Stability AI Generative AI in Music Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 Stability AI Main Business Overview
11.10.5 Stability AI Latest Developments
12 Research Findings and Conclusion

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