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)

Description

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

Product Code: MRICT - 1041690

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

13.1. Introduction
13.2. Standard Quality (MP3)
- 13.2.1. 128-192 kbps MP3
- 13.2.2. Web and Social Media Use
- 13.2.3. Quick Download and Streaming
13.3. High Quality (WAV/FLAC)
- 13.3.1. Lossless Audio Formats
- 13.3.2. Professional Production Use
- 13.3.3. Broadcast Quality
13.4. Stems and Multi-Track
- 13.4.1. Individual Instrument Stems
- 13.4.2. Layered Multi-Track Sessions
- 13.4.3. Full Mixing Control
13.5. MIDI Export
- 13.5.1. MIDI File Generation
- 13.5.2. DAW Import and Editing
- 13.5.3. Virtual Instrument Compatibility

14. AI Music Generation Market, by Geography

14.1. Introduction
14.2. North America
- 14.2.1. U.S.
- 14.2.2. Canada
- 14.2.3. Mexico
14.3. Europe
- 14.3.1. U.K.
- 14.3.2. Germany
- 14.3.3. France
- 14.3.4. Italy
- 14.3.5. Spain
- 14.3.6. Netherlands
- 14.3.7. Rest of Europe
14.4. Asia-Pacific
- 14.4.1. China
- 14.4.2. Japan
- 14.4.3. South Korea
- 14.4.4. India
- 14.4.5. Australia
- 14.4.6. Singapore
- 14.4.7. Southeast Asia
- 14.4.8. Rest of Asia-Pacific
14.5. Latin America
- 14.5.1. Brazil
- 14.5.2. Mexico
- 14.5.3. Argentina
- 14.5.4. Rest of Latin America
14.6. Middle East & Africa
- 14.6.1. UAE
- 14.6.2. Saudi Arabia
- 14.6.3. South Africa
- 14.6.4. Rest of Middle East & Africa

15. Company Profiles

15.1. Soundraw Inc.
15.2. Mubert Inc.
15.3. Boomy Corporation
15.4. AIVA Technologies SARL
15.5. Amper Music (Shutterstock)
15.6. Soundful
15.7. Beatoven.ai
15.8. Ecrett Music
15.9. Loudly GmbH
15.10. Splash (Meta)
15.11. OpenAI (MuseNet/Jukebox)
15.12. Google (MusicLM)
15.13. Stability AI (Stable Audio)
15.14. Riffusion
15.15. Harmonai
15.16. AudioCraft (Meta)
15.17. Suno AI
15.18. Udio
15.19. BandLab Technologies (SongStarter)
15.20. Epidemic Sound (AI Features)
15.21. Others

16. Appendix

16.1. Questionnaire
16.2. Available Customization

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)