Artificial Intelligence (AI) In Music Market Size, Share, Opportunities, And Trends By Application (Personalisation, Music Composition, Audio Mixing), And By Geography - Forecasts From 2024 To 2029

Artificial intelligence (AI) in music market is expected to grow at a CAGR of 16.28%, reaching a market size of US$3.201 billion in 2029 from US$1.489 billion in 2024.

In music, AI implies that artificial intelligence software applications have been integrated with music to facilitate the process of composing, mixing, and personalizing tracks. The application of AI software in music production processes has enabled music producers and artists to create new sounds and tunes.

Some of the major players in the AI music market include Landr, Amper Music, Izotope, and Brain.fm, Shazam, Splash, and Aiva Technologies. As a result, many musicians are adopting AI software to change their music composition style and individual listen playlists on streaming services where they produce or perform their songs. In this way, numerous music software applications have been developed to increase international music market consumption and the range of products offered by musicians.

The use of state-of-the-art music production tools and smart streaming services powered by artificial intelligence is driving the rapid expansion of the musical business into a new frontier. Organizations are investing in AI so that they can develop advanced algorithms capable of creating new songs, creating personalized soundtracks, or aiding music education. Additionally, another factor that adds to this growth is the expanded use of AI technology in gadgets like smart speakers and mobile phones, allowing many people to easily access AI-infused music apps.

What are the artificial intelligence (AI) in music market growth drivers?

• Advancement in AI software and technology is anticipated to increase the demand

Properties of AI software are widely used in many industries, including the music industry, due to continuous evolution and development. These developments have opened new avenues for music composition in the context of AI software. One such technique is "riffusion," which is creating music using AI computer vision rather than voice and sound recognition software. Riffusion is a technique that allows soundtracks to be created by utilizing the visual cues connected to different notes used in various musical genres. The expansion of AI in the music market is expected to be driven by major factors over the forecast period. These factors include increased research and development related to AI applications, leading to new music production methods, as well as the widespread increase in the consumption of music streaming services.

• Increasing use of smartphones is anticipated to drive market growth

The development of generative AI in the music industry is propelled by increasing smartphone usage for the foreseeable future. This is because smartphones merge the functions of a mobile phone and a computer into one device, thus allowing users to receive personal e-mails, use their data storage, and access the internet. Their popularity can be attributed to various factors such as connectivity, flexibility, socio-cultural factors, affordable cost, and availability. As smartphones continue becoming ubiquitous globally, millions more generate music from Generative AI-enabled platforms and applications due to their commonplace nature. These applications enable people to write songs, remix, and produce music on their phones, eliminating the need to purchase expensive studio instruments or specialized software.

• Increasing demand for music streaming recommendations is increasing the market growth

AI has taken the lead in the music industry for streaming recommendations as it can keep up with consumers' growing demand for personalized music experiences. In an era where digitized music platforms are skyrocketing, the overwhelming volume of songs, albums, and playlists can be daunting for users trying to discover their preferred music. AI giants have established recommendation engines that utilize user-related data to create personalized music for listeners to tackle this issue.

Thus, these systems can grow user retention levels through novel content that best suits their choices, all based on the information they have collected about them before. Furthermore, with the commitment received from users, including feedback on what should be played next or who else to follow, there will always be an improvement in these algorithms’ accuracy and relevance.

Artificial Intelligence (AI) in music Market Restraints:

• Probability of ethical risks is anticipated to impede market growth

The applications of AI software and machine learning models in music composition and customization processes require a pre-recorded dataset for the application to understand the music composition procedures and produce new music. However, copyright and ethical issues are associated with using music tracks and records for such purposes. In addition, there is also a possibility of partial and mixed plagiarism in applying AI-powered tools in music production. These limitations could be mitigated by further research and development of better-performing AI music applications and software.

Moreover, AI technology can produce technically complex and precise music, but it often lacks the human touch and emotional nuance found in music composed and performed by humans. The crux of this issue lies in the difficulty of emulating the intricate expressions, subtle nuances, and quirks that give music its significance and authenticity.

What are the key geographical trends shaping the artificial intelligence (AI) in music market?

• Asia Pacific is witnessing exponential growth during the forecast period

Asia Pacific is experiencing significant growth in their media and entertainment industry and is witnessing high levels of music consumption across consumers and other media platforms. This has driven the demand for more efficient and effective AI solutions for the music industry. This, in turn, has spurred investment in various AI applications that can be employed across various activities in the music industry. For instance, an AI-assisted music technology software, Beatoven.ai, is provided in India, which helps generate original music scores for various YouTube channels, wedding videography firms, and marketing agencies. In addition to this, the music industries of South Korea, Japan, China, and India are expanding rapidly.

Recent developments in artificial intelligence (AI) in music market

• In April 2024, with AI Playlist in Beta, Spotify premium users can now create a custom playlist out of any idea. With AI Playlist, users only need to type a special prompt into the chat window to create a new playlist. This feature is initially available to users on Android and iOS devices in Australia and the United Kingdom. 
• In March 2023, Tuned Global Company acquired Pacemaker. This Swedish music tech startup created customizable DJ software with AI assistance to increase the range of products and streaming services it offers.

Artificial Intelligence (AI) In Music Market Scope:

Report Metric	Details
AI in Music Market Size in 2024	US$1.489 billion
AI in Music Market Size in 2029	US$3.201 billion
Growth Rate	CAGR of 16.28%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Billion
Segmentation	Application Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI in Music Market	iZotope Aiva Technologies BRAINFM Inc LANDR Boomy Corporation
Customization Scope	Free report customization with purchase

 

The Artificial Intelligence (AI) in music market is segmented and analyzed as follows:

• By Application
  • Personalization
  • Music Composition
  • Audio Mixing
• By Geography
  • North America
  • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Singapore
    • Indonesia
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN MUSIC MARKET BY APPLICATION

5.1. Introduction

5.2. Personalization

5.3. Music Composition

5.4. Audio Mixing

6. ARTIFICIAL INTELLIGENCE (AI) IN MUSIC MARKET BY GEOGRAPHY

6.1. Introduction

6.2. North America

6.2.1. By Application

6.2.2. By Country

6.2.2.1. USA

6.2.2.2. Canada

6.2.2.3. Mexico

6.3. South America

6.3.1. By Application

6.3.2. By Country

6.3.2.1. Brazil

6.3.2.2. Argentina

6.3.2.3. Others

6.4. Europe

6.4.1. By Application

6.4.2. By Country

6.4.2.1. United Kingdom

6.4.2.2. Germany

6.4.2.3. France

6.4.2.4. Italy

6.4.2.5. Spain

6.4.2.6. Others

6.5. Middle East and Africa

6.5.1. By Application

6.5.2. By Country

6.5.2.1. Saudi Arabia

6.5.2.2. UAE

6.5.2.3. Others

6.6. Asia Pacific

6.6.1. By Application

6.6.2. By Country

6.6.2.1. China

6.6.2.2. Japan

6.6.2.3. India

6.6.2.4. South Korea

6.6.2.5. Australia

6.6.2.6. Singapore

6.6.2.7. Indonesia

6.6.2.8. Others

7. COMPETITIVE ENVIRONMENT AND ANALYSIS

7.1. Major Players and Strategy Analysis

7.2. Market Share Analysis

7.3. Mergers, Acquisitions, Agreements, and Collaborations

7.4. Competitive Dashboard

8. COMPANY PROFILES

8.1. iZotope

8.2. Aiva Technologies

8.3. Amper Music (Shutterstock Inc)

8.4. BRAINFM Inc

8.5. LANDR

8.6. Boomy Corporation

8.7. Magenta (Google Inc)

8.8. SOUNDRAW Inc

8.9. Amadeus Code

8.10. Klangio GmbH

iZotope

Aiva Technologies

Amper Music (Shutterstock Inc)

BRAINFM Inc

LANDR

Boomy Corporation

Magenta (Google Inc)

SOUNDRAW Inc

Amadeus Code

Klangio GmbH