세계의 음악용 생성형 AI 시장 : 규모, 점유율, 동향 분석 보고서 -컴포넌트별, 기술별, 용도별, 최종 용도별, 지역별, 부문별 예측(2024-2030년)

Generative AI in Music Market Size & Trends:

The global generative AI in music market size was estimated at USD 440.0 million in 2023 and is projected to grow at a CAGR of 30.4% from 2024 to 2030. The market growth is driven by technological advancements that have made artificial intelligence (AI) more accessible and capable. AI's ability to generate high-quality music compositions, harmonies, and even lyrics has attracted significant attention from artists, producers, and businesses looking to enhance creativity and efficiency.

These tools democratize music creation, allowing even non-musicians to produce professional-sounding tracks. Furthermore, AI-driven platforms streamline processes like mastering and editing, reducing the time and cost associated with traditional music production. This efficiency appeals to established musicians and aspiring artists, broadening the market's reach. As AI continues to evolve, its ability to mimic human creativity more closely leads to wider adoption across various music industry sectors. This innovation is seen as a tool and a collaborative partner in the creative process.

The rise of on-demand music platforms and customized content is another significant factor fueling the growth of generative AI in music. On-demand music platforms increasingly utilize AI to curate personalized playlists and even generate new music customized to individual preferences. This level of personalization enhances user experience, driving greater engagement and loyalty.

Moreover, AI-generated music is used in background scores for films, video games, and advertisements, with high demand for custom, adaptable soundtracks. The scalability of AI allows these platforms to meet the growing demand for diverse and unique music content at a much faster pace than traditional methods. As a result, generative AI is becoming integral to how music is consumed and produced in the digital age. The ability to generate vast amounts of music quickly and efficiently makes AI an attractive solution for content creators and distributors alike.

The expanding applications of generative AI in the music industry fuel the growth of demand, particularly in education, marketing, and interactive entertainment. Generative AI tools are being developed to assist music education, enabling students to learn composition and music theory through interactive platforms. In marketing, AI-generated music is a powerful tool for crafting engaging and memorable advertisements. Moreover, the video game industry is leveraging generative AI to create dynamic soundtracks that adapt to player actions, enhancing the immersive experience. As more industries recognize the transformative potential of generative AI in music creation and usage, investment and innovation in this space are rapidly accelerating.

Global Generative AI in Music Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global generative AI in music market report based on component, technology, application, end use, and region:

• Component Outlook (Revenue, USD Million, 2018 - 2030)
• Software
• Services
• Technology Outlook (Revenue, USD Million, 2018 - 2030)
• Transformers
• Variational Autoencoders (VAEs)
• Generative Adversarial Networks (GANs)
• Diffusion Models
• Others
• Application Outlook (Revenue, USD Million, 2018 - 2030)
• Automated Music Composition
• Music Arrangement and Orchestration
• Music Style Transfer and Remixing
• Sound Synthesis and Design
• Music Personalization and Recommendation
• Others
• End Use Outlook (Revenue, USD Million, 2018 - 2030)
• Music Production and Recording
• Film and Television
• Video Games and Interactive Entertainment
• Advertising and Marketing
• Music Education and Training
• Streaming Services and Music Platforms
• Others
• Regional Outlook (Revenue, USD Million, 2018 - 2030)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa (MEA)
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. Generative AI in Music Market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Generative AI in Music Market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. Generative AI in Music Market: Component Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Generative AI in Music Market: Component Movement Analysis, 2023 & 2030 (USD Million)
• 4.3. Software
  • 4.3.1. Software Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.4. Services
  • 4.4.1. Services Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. Generative AI in Music Market: Technology Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Generative AI in Music Market: Technology Movement Analysis, 2023 & 2030 (USD Million)
• 5.3. Transformers
  • 5.3.1. Transformers Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.4. Variational Autoencoders (VAEs)
  • 5.4.1. Variational Autoencoders (VAEs) Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.5. Generative Adversarial Networks (GANs)
  • 5.5.1. Generative Adversarial Networks (GANs) Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.6. Variational Autoencoders (VAEs)
  • 5.6.1. Variational Autoencoders (VAEs) Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.7. Diffusion Models
  • 5.7.1. Diffusion Models Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. Generative AI in Music Market: Application Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Generative AI in Music Market: Application Movement Analysis, 2023 & 2030 (USD Million)
• 6.3. Automated Music Composition
  • 6.3.1. Automated Music Composition Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.4. Music Arrangement and Orchestration
  • 6.4.1. Music Arrangement and Orchestration Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.5. Music Style Transfer and Remixing
  • 6.5.1. Music Style Transfer and Remixing Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.6. Sound Synthesis and Design
  • 6.6.1. Sound Synthesis and Design Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.7. Music Personalization and Recommendation
  • 6.7.1. Music Personalization and Recommendation Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.8. Others
  • 6.8.1. Others Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. Generative AI in Music Market: End Use Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. Generative AI in Music Market: End Use Movement Analysis, 2023 & 2030 (USD Million)
• 7.3. Music Production and Recording
  • 7.3.1. Music Production and Recording Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.4. Film and Television
  • 7.4.1. Film and Television Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.5. Video Games and Interactive Entertainment
  • 7.5.1. Video Games and Interactive Entertainment Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.6. Advertising and Marketing
  • 7.6.1. Advertising and Marketing Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.7. Music Education and Training
  • 7.7.1. Music Education and Training Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.8. Streaming Services and Music Platforms
  • 7.8.1. Streaming Services and Music Platforms Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.9. Others
  • 7.9.1. Others Generative AI in Music Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Generative AI in Music Market: Regional Estimates & Trend Analysis

• 8.1. Generative AI in Music Market Share, By Region, 2023 & 2030 (USD Million)
• 8.2. North America
  • 8.2.1. North America Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.2.2. U.S.
    • 8.2.2.1. U.S. Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.2.3. Canada
    • 8.2.3.1. Canada Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.2.4. Mexico
    • 8.2.4.1. Mexico Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.3. Europe
  • 8.3.1. Europe Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.3.2. UK
    • 8.3.2.1. UK Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.3.3. Germany
    • 8.3.3.1. Germany Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.3.4. France
    • 8.3.4.1. France Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.4. Asia Pacific
  • 8.4.1. Asia Pacific Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.2. China
    • 8.4.2.1. China Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.3. Japan
    • 8.4.3.1. Japan Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.4. India
    • 8.4.4.1. India Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.5. South Korea
    • 8.4.5.1. South Korea Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.6. Australia
    • 8.4.6.1. Australia Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.5. Latin America
  • 8.5.1. Latin America Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.5.2. Brazil
    • 8.5.2.1. Brazil Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.6. Middle East and Africa
  • 8.6.1. Middle East and Africa Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.2. KSA
    • 8.6.2.1. KSA Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.3. UAE
    • 8.6.3.1. UAE Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.4. South Africa
    • 8.6.4.1. South Africa Generative AI in Music Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Company Categorization
• 9.2. Company Market Positioning
• 9.3. Participant's Overview
• 9.4. Financial Performance
• 9.5. Component Benchmarking
• 9.6. Company Heat Map Analysis
• 9.7. Strategy Mapping
• 9.8. Company Profiles/Listing
  • 9.8.1. Aiva Technologies SARL
    • 9.8.1.1. Participant's Overview
    • 9.8.1.2. Financial Performance
    • 9.8.1.3. Product Benchmarking
    • 9.8.1.4. Recent Developments
  • 9.8.2. Boomy Corporation
    • 9.8.2.1. Participant's Overview
    • 9.8.2.2. Financial Performance
    • 9.8.2.3. Product Benchmarking
    • 9.8.2.4. Recent Developments
  • 9.8.3. Ecrett Music
    • 9.8.3.1. Participant's Overview
    • 9.8.3.2. Financial Performance
    • 9.8.3.3. Product Benchmarking
    • 9.8.3.4. Recent Developments
  • 9.8.4. Google LLC
    • 9.8.4.1. Participant's Overview
    • 9.8.4.2. Financial Performance
    • 9.8.4.3. Product Benchmarking
    • 9.8.4.4. Recent Developments
  • 9.8.5. International Business Machines Corporation
    • 9.8.5.1. Participant's Overview
    • 9.8.5.2. Financial Performance
    • 9.8.5.3. Product Benchmarking
    • 9.8.5.4. Recent Developments
  • 9.8.6. LANDR
    • 9.8.6.1. Participant's Overview
    • 9.8.6.2. Financial Performance
    • 9.8.6.3. Product Benchmarking
    • 9.8.6.4. Recent Developments
  • 9.8.7. Meta
    • 9.8.7.1. Participant's Overview
    • 9.8.7.2. Financial Performance
    • 9.8.7.3. Product Benchmarking
    • 9.8.7.4. Recent Developments
  • 9.8.8. Microsoft
    • 9.8.8.1. Participant's Overview
    • 9.8.8.2. Financial Performance
    • 9.8.8.3. Product Benchmarking
    • 9.8.8.4. Recent Developments
  • 9.8.9. OpenAI
    • 9.8.9.1. Participant's Overview
    • 9.8.9.2. Financial Performance
    • 9.8.9.3. Product Benchmarking
    • 9.8.9.4. Recent Developments
  • 9.8.10. Stability AI
    • 9.8.10.1. Participant's Overview
    • 9.8.10.2. Financial Performance
    • 9.8.10.3. Product Benchmarking
    • 9.8.10.4. Recent Developments