AI 음악 생성 및 작곡 소프트웨어 시장 규모, 점유율 및 예측 : 음악 장르별, 커스터마이즈 옵션별, 라이선싱 모델별(로열티 프리, 독점), 최종사용자별(컨텐츠 크리에이터, 게임 개발자) - 세계 예측(2026-2036년)
AI Music Generation & Composition Software Market Size, Share, & Forecast by Music Genre, Customization Options, Licensing Model (Royalty-Free, Exclusive), and End-User (Content Creators, Game Developers) - Global Forecast (2026-2036)
상품코드:1936168
리서치사:Meticulous Research
발행일:On Demand Report
페이지 정보:영문 293 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
AI 음악 생성·작곡 소프트웨어 시장은 2026-2036년의 예측 기간에 CAGR 20.1%로 성장하며, 2036년까지 72억 9,000만 달러에 달할 것으로 예측되고 있습니다. 세계 5대 지역의 AI 음악 생성 시장에 대해 조사 분석했으며, 현재 시장 동향, 시장 규모, 최근 동향, 2036년까지의 예측에 중점을 두어 분석했습니다. 광범위한 2차 및 1차 조사와 시장 시나리오에 대한 심층 분석을 통해 주요 산업 촉진요인, 억제요인, 기회 및 과제에 대한 영향 분석을 수행합니다. 이 시장의 성장은 합리적인 가격의 음악 솔루션을 필요로 하는 컨텐츠 제작 플랫폼의 폭발적인 성장, 컨텐츠 제작자 및 미디어 제작자의 로열티 없는 음악에 대한 수요 증가, 현실적인 음악 생성을 가능하게 하는 인공지능(AI) 및 머신러닝의 발전, 음악 라이선스 비용 및 저작권 문제 감소 필요, 광고, 게임, 스트리밍 플랫폼에서 AI 생성 음악의 채택 확대에 힘입어 성장세를 보이고 있습니다. 또한 음악 생성을 위한 고급 생성적 적대적 네트워크(GAN) 및 트랜스포머 모델의 개발, AI 음악 툴와 컨텐츠 제작 워크플로우의 통합, AI 생성 음악에 대한 새로운 라이선스 모델의 등장, 전문 크리에이티브 산업에서의 AI AI 생성 음악의 수용성 확대가 시장 성장을 촉진할 것으로 예측됩니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 시장 인사이트
제5장 AI 음악 생성 기술과 알고리즘
제6장 경쟁 구도
제7장 세계의 AI 음악 생성 시장 : 음악 장르별
제8장 세계의 AI 음악 생성 시장 : 커스터마이즈 옵션별
제9장 세계의 AI 음악 생성 시장 : 라이선싱 모델별
제10장 세계의 AI 음악 생성 시장 : 유통 방법별
제11장 세계의 AI 음악 생성 시장 : 최종사용자별
제12장 세계의 AI 음악 생성 시장 : 가격 모델별
제13장 세계의 AI 음악 생성 시장 : 출력 품질별
제14장 AI 음악 생성 시장 : 지역별
제15장 기업 개요
제16장 부록
KSA
영문 목차
영문목차
AI Music Generation & Composition Software Market by Music Genre, Customization Options, Licensing Model (Royalty-Free, Exclusive), and End-User (Content Creators, Game Developers) - Global Forecasts (2026-2036)
According to the research report titled, 'AI Music Generation & Composition Software Market by Music Genre, Customization Options, Licensing Model (Royalty-Free, Exclusive), and End-User (Content Creators, Game Developers) - Global Forecasts (2026-2036),' the AI music generation and composition software market is projected to reach USD 7.29 billion by 2036, at a CAGR of 20.1% during the forecast period 2026-2036. The report provides an in-depth analysis of the global AI music generation market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges. The growth of this market is driven by the explosive growth of content creation platforms requiring affordable music solutions, rising demand for royalty-free music from content creators and media producers, advancements in artificial intelligence and machine learning enabling realistic music generation, the need to reduce music licensing costs and copyright issues, and increasing adoption of AI-generated music in advertising, gaming, and streaming platforms. Moreover, the development of advanced generative adversarial networks (GANs) and transformer models for music generation, the integration of AI music tools with content creation workflows, the emergence of new licensing models for AI-generated music, and the growing acceptance of AI-generated music in professional creative industries are expected to support the market's growth.
Key Players
The key players operating in the AI music generation and composition software market are OpenAI (U.S.), Google DeepMind (U.K./U.S.), Meta Platforms Inc. (U.S.), Amper Music (U.S.), LANDR (Canada), Soundraw (U.S.), Dadabots (U.S.), Jukebox AI (U.S.), Mubert (Germany), Soundful (U.S.), Endel (U.S.), and others.
Market Segmentation
The AI music generation and composition software market is segmented by music genre (electronic, hip-hop, pop, rock, classical, ambient, and others), customization options (full customization, template-based, and preset-based), licensing model (royalty-free, exclusive, and subscription-based), end-user (content creators, game developers, film and television producers, advertisers, and music producers), deployment model (cloud-based, on-premises, and hybrid), and geography. The study also evaluates industry competitors and analyzes the market at the country level.
Based on Music Genre
Based on music genre, the electronic music segment is estimated to hold the largest share of the market in 2026. This segment's dominance is primarily attributed to the ease of generating electronic music with AI algorithms, the popularity of electronic music in gaming and content creation, and the lower complexity compared to other genres. Conversely, the ambient and background music segment is expected to grow at a significant CAGR during the forecast period, driven by increasing demand for ambient music in meditation apps, streaming platforms, and video content.
Based on Customization Options
Based on customization options, the template-based segment is estimated to account for the largest share of the market in 2026. This segment's leadership is primarily driven by ease of use for non-professional users, faster music generation, and lower technical barriers to entry. The full customization segment is expected to grow at the highest CAGR during the forecast period, driven by increasing demand from professional musicians and producers seeking greater creative control and unique compositions.
Based on Licensing Model
Based on licensing model, the royalty-free segment is estimated to hold the largest share of the market in 2026. This segment's dominance is driven by the popularity of royalty-free music among content creators, the cost-effectiveness compared to traditional music licensing, and the elimination of copyright issues. The exclusive licensing segment is expected to experience significant growth, driven by content creators and media producers seeking unique, exclusive music for premium content.
Based on End-User
Based on end-user, the content creators segment is estimated to account for the largest share of the market in 2026. This segment's dominance is driven by the massive growth of content creation platforms like YouTube, TikTok, and Twitch, and the need for affordable, copyright-free music. The game developers segment is expected to grow at a significant CAGR during the forecast period, driven by increasing demand for dynamic, adaptive music in video games and the cost savings compared to traditional music composition.
Geographic Analysis
An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. In 2026, North America is estimated to account for the largest share of the global AI music generation market, driven by a concentrated content creator ecosystem, leading AI technology companies, entertainment industry adoption, and strong venture capital investment in music AI startups. Asia-Pacific is projected to register the highest CAGR during the forecast period, fueled by massive social media and short-form video growth, gaming industry expansion, increasing content creator population, and AI technology development in China and Japan. The region's rapid digital transformation and growing creator economy are creating substantial market opportunities.
Key Questions Answered in the Report-
What is the current revenue generated by the AI music generation and composition software market globally?
At what rate is the global AI music generation and composition software demand projected to grow for the next 7-10 years?
What are the historical market sizes and growth rates of the global AI music generation and composition software market?
What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
Which segments in terms of music genre, customization options, licensing model, and end-user are expected to create major traction for the manufacturers in this market?
What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global AI music generation and composition software market?
Who are the major players in the global AI music generation and composition software market? What are their specific product offerings in this market?
What are the recent strategic developments in the global AI music generation and composition software market? What are the impacts of these strategic developments on the market?
Scope of the Report:
AI Music Generation & Composition Software Market Assessment -- by Music Genre
Electronic
Hip-Hop
Pop
Rock
Classical
Ambient
Other Genres
AI Music Generation & Composition Software Market Assessment -- by Customization Options
Full Customization
Template-Based
Preset-Based
AI Music Generation & Composition Software Market Assessment -- by Licensing Model
Royalty-Free
Exclusive
Subscription-Based
AI Music Generation & Composition Software Market Assessment -- by End-User
Content Creators
Game Developers
Film and Television Producers
Advertisers
Music Producers
AI Music Generation & Composition Software Market Assessment -- by Deployment Model
Cloud-Based
On-Premises
Hybrid
AI Music Generation & Composition Software Market Assessment -- by Geography
North America
U.S.
Canada
Europe
U.K.
Germany
France
Spain
Italy
Rest of Europe
Asia-Pacific
China
Japan
South Korea
India
Australia & New Zealand
Rest of Asia-Pacific
Latin America
Mexico
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Saudi Arabia
UAE
South Africa
Rest of Middle East & Africa
TABLE OF CONTENTS
1. Introduction
1.1. Market Definition
1.2. Market Ecosystem
1.3. Currency and Limitations
1.3.1. Currency
1.3.2. Limitations
1.4. Key Stakeholders
2. Research Methodology
2.1. Research Approach
2.2. Data Collection & Validation
2.2.1. Secondary Research
2.2.2. Primary Research
2.3. Market Assessment
2.3.1. Market Size Estimation
2.3.2. Bottom-Up Approach
2.3.3. Top-Down Approach
2.3.4. Growth Forecast
2.4. Assumptions for the Study
3. Executive Summary
3.1. Overview
3.2. Market Analysis, by Music Genre
3.3. Market Analysis, by Customization Options
3.4. Market Analysis, by Licensing Model
3.5. Market Analysis, by Delivery Method
3.6. Market Analysis, by End-User
3.7. Market Analysis, by Pricing Model
3.8. Market Analysis, by Output Quality
3.9. Market Analysis, by Geography
3.10. Competitive Analysis
4. Market Insights
4.1. Introduction
4.2. Global AI Music Generation Market: Impact Analysis of Market Drivers (2026-2036)
4.2.1. Content Creation Explosion and Creator Economy Growth
4.2.2. Copyright-Free Music Demand from Content Creators
4.2.3. Cost Reduction in Music Production and Licensing
4.3. Global AI Music Generation Market: Impact Analysis of Market Restraints (2026-2036)
4.3.1. Copyright and Intellectual Property Concerns
4.3.2. Quality and Originality Limitations
4.4. Global AI Music Generation Market: Impact Analysis of Market Opportunities (2026-2036)
4.4.1. Personalized Music for Individual Users
4.4.2. Real-Time Adaptive Music for Gaming and Interactive Media
4.5. Global AI Music Generation Market: Impact Analysis of Market Challenges (2026-2036)
4.5.1. Artist and Musician Industry Resistance
4.5.2. Platform Policy and Monetization Restrictions
4.6. Global AI Music Generation Market: Impact Analysis of Market Trends (2026-2036)
4.6.1. Advancement of Generative AI Music Models
4.6.2. Integration with Video and Content Creation Tools
4.7. Porter's Five Forces Analysis
4.7.1. Threat of New Entrants
4.7.2. Bargaining Power of Suppliers
4.7.3. Bargaining Power of Buyers
4.7.4. Threat of Substitute Products
4.7.5. Competitive Rivalry
5. AI Music Generation Technology and Algorithms
5.1. Introduction to AI Music Generation Fundamentals
5.2. Deep Learning Models and Neural Networks
5.3. Transformer-Based Music Generation Architectures
5.4. Generative Adversarial Networks (GANs) for Music
5.5. Diffusion Models and Audio Synthesis
5.6. Music Information Retrieval and Style Transfer
5.7. Text-to-Music Generation Technologies
5.8. Real-Time Adaptive Music Systems
5.9. Impact on Market Growth and Technology Adoption
6. Competitive Landscape
6.1. Introduction
6.2. Key Growth Strategies
6.2.1. Market Differentiators
6.2.2. Synergy Analysis: Major Deals & Strategic Alliances
6.3. Competitive Dashboard
6.3.1. Industry Leaders
6.3.2. Market Differentiators
6.3.3. Vanguards
6.3.4. Emerging Companies
6.4. Vendor Market Positioning
6.5. Market Share/Ranking by Key Players
7. Global AI Music Generation Market, by Music Genre
7.1. Introduction
7.2. Cinematic/Ambient
7.2.1. Film Scores and Soundtracks
7.2.2. Documentary Background Music
7.2.3. Meditation and Wellness Music
7.3. Electronic/Lo-Fi
7.3.1. Study and Work Background Music
7.3.2. Streaming Platform Content
7.3.3. Social Media Background Tracks
7.4. Corporate/Motivational
7.4.1. Business Presentations
7.4.2. Training Videos
7.4.3. Marketing Content
7.5. Pop/Rock
7.5.1. YouTube Content Music
7.5.2. Commercial Advertising
7.5.3. Retail and Event Music
7.6. Classical/Orchestral
7.6.1. Period Content and Historical Productions
7.6.2. Luxury Brand Marketing
7.6.3. Educational Content
7.7. Hip-Hop/Urban
7.7.1. Social Media Content
7.7.2. Sports and Lifestyle Videos
7.7.3. Gaming Soundtracks
7.8. World/Ethnic
7.8.1. Travel and Documentary Content
7.8.2. Cultural and Educational Media
7.8.3. World Music Fusion
8. Global AI Music Generation Market, by Customization Options
8.1. Introduction
8.2. AI-Assisted Customization
8.2.1. Mood and Energy Level Adjustment
8.2.2. Instrument Selection and Mix Control
8.2.3. Duration and Loop Customization
8.3. Fully Automated Generation
8.3.1. One-Click Music Creation
8.3.2. Preset-Based Generation
8.3.3. Random/Surprise Generation
8.4. Advanced Editing and Stem Control
8.4.1. Individual Track Isolation
8.4.2. Layer Editing and Arrangement
8.4.3. Professional DAW Integration
8.5. Text-to-Music Generation
8.5.1. Natural Language Prompts
8.5.2. Detailed Musical Instruction
8.5.3. Style and Reference-Based Generation
9. Global AI Music Generation Market, by Licensing Model
9.1. Introduction
9.2. Royalty-Free Licensing
9.2.1. Perpetual Use Rights
9.2.2. Worldwide Distribution Rights
9.2.3. Multi-Platform Usage
9.3. Exclusive Licensing
9.3.1. Single-User Exclusive Rights
9.3.2. Industry/Territory Exclusivity
9.3.3. Time-Limited Exclusivity
9.4. Attribution-Based Free
9.4.1. Creative Commons Licensing
9.4.2. Free with Credit Requirements
9.4.3. Non-Commercial Use Only
9.5. Commercial vs. Personal Use
9.5.1. Personal Project Licensing
9.5.2. Commercial Use Licensing
9.5.3. Broadcast and Public Performance Rights
10. Global AI Music Generation Market, by Delivery Method
10.1. Introduction
10.2. Web-Based Platforms
10.2.1. Browser-Based Music Generators
10.2.2. Cloud-Based Libraries
10.2.3. Streaming and Direct Download
10.3. Desktop Applications
10.3.1. Standalone Software
10.3.2. Professional Production Tools
10.3.3. Offline Generation Capabilities
10.4. Mobile Apps
10.4.1. iOS Applications
10.4.2. Android Applications
10.4.3. Cross-Platform Mobile Solutions
10.5. API and Developer Tools
10.5.1. RESTful APIs
10.5.2. SDK Integration
10.5.3. Programmatic Music Generation
10.6. Plugin Integration
10.6.1. DAW Plugins (VST/AU/AAX)
10.6.2. Video Editing Software Plugins
10.6.3. Game Engine Integration
11. Global AI Music Generation Market, by End-User
11.1. Introduction
11.2. Content Creators and Influencers
11.2.1. YouTubers
11.2.2. TikTok and Instagram Creators
11.2.3. Podcast Producers
11.3. Game Developers
11.3.1. Indie Game Studios
11.3.2. Mobile Game Developers
11.3.3. AAA Game Studios
11.4. Advertising and Marketing Agencies
11.4.1. Digital Marketing Firms
11.4.2. Brand Agencies
11.4.3. Social Media Marketing Teams
11.5. Film and Video Production
11.5.1. Independent Filmmakers
11.5.2. Corporate Video Production
11.5.3. Documentary Producers
11.6. Podcast Producers
11.6.1. Independent Podcasters
11.6.2. Podcast Networks
11.6.3. Audio Drama Producers
11.7. App Developers
11.7.1. Mobile App Background Music
11.7.2. Productivity App Integration
11.7.3. Wellness and Meditation Apps
11.8. Enterprise and Corporate
11.8.1. Internal Communications
11.8.2. Training and E-Learning
11.8.3. Retail and Hospitality Background Music
12. Global AI Music Generation Market, by Pricing Model
12.1. Introduction
12.2. Subscription-Based
12.2.1. Monthly Subscriptions
12.2.2. Annual Subscriptions
12.2.3. Tiered Subscription Plans
12.3. Per-Track Purchase
12.3.1. Single Track Purchase
12.3.2. Credit-Based Systems
12.3.3. Volume Discounts
12.4. Freemium
12.4.1. Free Tier with Limited Features
12.4.2. Free Tracks with Watermarks
12.4.3. Upgrade Options to Premium
12.5. Enterprise Licensing
12.5.1. Custom Enterprise Plans
12.5.2. White-Label Solutions
12.5.3. Unlimited Usage Agreements
13. Global AI Music Generation Market, by Output Quality
