Global Generative AI in Music 麻豆原创 Research Report 2024

Publication ID:

PB509246523

Publication Date:

September 5, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

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 was valued at US$ 440 million in 2023 and is anticipated to reach US$ 2845 million by 2030, witnessing a CAGR of 30.5% during the forecast period 2024-2030.
North American market for Generative AI in Music is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Generative AI in Music is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Generative AI in Music in Music Production and Recording is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Generative AI in Music include Aiva Technologies SARL, Boomy Corporation, Ecrett Music, Google LLC, International Business Machines Corporation, LANDR, Meta, Microsoft, OpenAI, Stability AI, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Generative AI in Music, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Generative AI in Music.
The Generative AI in Music market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Generative AI in Music market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI in Music companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Aiva Technologies SARL
Boomy Corporation
Ecrett Music
Google LLC
International Business Machines Corporation
LANDR
Meta
Microsoft
OpenAI
Stability AI
Segment by Type
Transformers
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Diffusion Models
Others
Segment 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
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI in Music company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Generative AI in Music 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Transformers
1.2.3 Variational Autoencoders (VAEs)
1.2.4 Generative Adversarial Networks (GANs)
1.2.5 Diffusion Models
1.2.6 Others
1.3 麻豆原创 by Application
1.3.1 Global Generative AI in Music 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Music Production and Recording
1.3.3 Film and Television
1.3.4 Video Games and Interactive Entertainment
1.3.5 Advertising and 麻豆原创ing
1.3.6 Music Education and Training
1.3.7 Streaming Services and Music Platforms
1.3.8 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI in Music 麻豆原创 Perspective (2019-2030)
2.2 Global Generative AI in Music Growth Trends by Region
2.2.1 Global Generative AI in Music 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Generative AI in Music Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Generative AI in Music Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Generative AI in Music 麻豆原创 Dynamics
2.3.1 Generative AI in Music Industry Trends
2.3.2 Generative AI in Music 麻豆原创 Drivers
2.3.3 Generative AI in Music 麻豆原创 Challenges
2.3.4 Generative AI in Music 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI in Music Players by Revenue
3.1.1 Global Top Generative AI in Music Players by Revenue (2019-2024)
3.1.2 Global Generative AI in Music Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Generative AI in Music 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Generative AI in Music Revenue
3.4 Global Generative AI in Music 麻豆原创 Concentration Ratio
3.4.1 Global Generative AI in Music 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI in Music Revenue in 2023
3.5 Global Key Players of Generative AI in Music Head office and Area Served
3.6 Global Key Players of Generative AI in Music, Product and Application
3.7 Global Key Players of Generative AI in Music, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI in Music Breakdown Data by Type
4.1 Global Generative AI in Music Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Generative AI in Music Forecasted 麻豆原创 Size by Type (2025-2030)
5 Generative AI in Music Breakdown Data by Application
5.1 Global Generative AI in Music Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Generative AI in Music Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Generative AI in Music 麻豆原创 Size (2019-2030)
6.2 North America Generative AI in Music 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Generative AI in Music 麻豆原创 Size by Country (2019-2024)
6.4 North America Generative AI in Music 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI in Music 麻豆原创 Size (2019-2030)
7.2 Europe Generative AI in Music 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Generative AI in Music 麻豆原创 Size by Country (2019-2024)
7.4 Europe Generative AI in Music 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Generative AI in Music 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Generative AI in Music 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Generative AI in Music 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Generative AI in Music 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Generative AI in Music 麻豆原创 Size (2019-2030)
9.2 Latin America Generative AI in Music 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Generative AI in Music 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Generative AI in Music 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI in Music 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Generative AI in Music 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Generative AI in Music 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Generative AI in Music 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Aiva Technologies SARL
11.1.1 Aiva Technologies SARL Company Details
11.1.2 Aiva Technologies SARL Business Overview
11.1.3 Aiva Technologies SARL Generative AI in Music Introduction
11.1.4 Aiva Technologies SARL Revenue in Generative AI in Music Business (2019-2024)
11.1.5 Aiva Technologies SARL Recent Development
11.2 Boomy Corporation
11.2.1 Boomy Corporation Company Details
11.2.2 Boomy Corporation Business Overview
11.2.3 Boomy Corporation Generative AI in Music Introduction
11.2.4 Boomy Corporation Revenue in Generative AI in Music Business (2019-2024)
11.2.5 Boomy Corporation Recent Development
11.3 Ecrett Music
11.3.1 Ecrett Music Company Details
11.3.2 Ecrett Music Business Overview
11.3.3 Ecrett Music Generative AI in Music Introduction
11.3.4 Ecrett Music Revenue in Generative AI in Music Business (2019-2024)
11.3.5 Ecrett Music Recent Development
11.4 Google LLC
11.4.1 Google LLC Company Details
11.4.2 Google LLC Business Overview
11.4.3 Google LLC Generative AI in Music Introduction
11.4.4 Google LLC Revenue in Generative AI in Music Business (2019-2024)
11.4.5 Google LLC Recent Development
11.5 International Business Machines Corporation
11.5.1 International Business Machines Corporation Company Details
11.5.2 International Business Machines Corporation Business Overview
11.5.3 International Business Machines Corporation Generative AI in Music Introduction
11.5.4 International Business Machines Corporation Revenue in Generative AI in Music Business (2019-2024)
11.5.5 International Business Machines Corporation Recent Development
11.6 LANDR
11.6.1 LANDR Company Details
11.6.2 LANDR Business Overview
11.6.3 LANDR Generative AI in Music Introduction
11.6.4 LANDR Revenue in Generative AI in Music Business (2019-2024)
11.6.5 LANDR Recent Development
11.7 Meta
11.7.1 Meta Company Details
11.7.2 Meta Business Overview
11.7.3 Meta Generative AI in Music Introduction
11.7.4 Meta Revenue in Generative AI in Music Business (2019-2024)
11.7.5 Meta Recent Development
11.8 Microsoft
11.8.1 Microsoft Company Details
11.8.2 Microsoft Business Overview
11.8.3 Microsoft Generative AI in Music Introduction
11.8.4 Microsoft Revenue in Generative AI in Music Business (2019-2024)
11.8.5 Microsoft Recent Development
11.9 OpenAI
11.9.1 OpenAI Company Details
11.9.2 OpenAI Business Overview
11.9.3 OpenAI Generative AI in Music Introduction
11.9.4 OpenAI Revenue in Generative AI in Music Business (2019-2024)
11.9.5 OpenAI Recent Development
11.10 Stability AI
11.10.1 Stability AI Company Details
11.10.2 Stability AI Business Overview
11.10.3 Stability AI Generative AI in Music Introduction
11.10.4 Stability AI Revenue in Generative AI in Music Business (2019-2024)
11.10.5 Stability AI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Aiva Technologies SARL
Boomy Corporation
Ecrett Music
Google LLC
International Business Machines Corporation
LANDR
Meta
Microsoft
OpenAI
Stability AI

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