Generative Artificial Intelligence in Music

Generative Artificial Intelligence in Music

Global Generative Artificial Intelligence in Music Market to Reach US$3.0 Billion by 2030

The global market for Generative Artificial Intelligence in Music estimated at US$642.8 Million in the year 2024, is expected to reach US$3.0 Billion by 2030, growing at a CAGR of 29.5% over the analysis period 2024-2030. AI Music Software, one of the segments analyzed in the report, is expected to record a 28.4% CAGR and reach US$1.9 Billion by the end of the analysis period. Growth in the AI Music Services segment is estimated at 31.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$169.0 Million While China is Forecast to Grow at 28.0% CAGR

The Generative Artificial Intelligence in Music market in the U.S. is estimated at US$169.0 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$458.7 Million by the year 2030 trailing a CAGR of 28.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 26.8% and 25.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 20.6% CAGR.

Global Generative Artificial Intelligence in Music Market – Key Trends & Drivers Summarized

How Is Generative AI Redefining Music Composition and Production?

Generative Artificial Intelligence is revolutionizing music composition by enabling the creation of original, high-quality musical pieces with minimal human intervention. Traditionally, music production requires significant time, resources, and creative expertise. However, generative AI tools leverage deep learning algorithms to analyze existing music libraries, identify patterns, and generate new compositions in various genres and styles. These tools can produce melodies, harmonies, and even lyrics that are tailored to specific moods, themes, or cultural contexts, making them invaluable for artists, producers, and content creators.

In addition to assisting with composition, AI-powered platforms streamline the production process by automating time-consuming tasks such as mixing and mastering. Advanced AI tools are capable of mimicking the nuances of human creativity, enabling musicians to experiment with innovative sounds and arrangements. The use of generative AI is particularly prevalent in the gaming and film industries, where background scores and sound effects must align seamlessly with visual storytelling. This fusion of creativity and technology is transforming how music is created and consumed, empowering artists to push boundaries and explore new possibilities.

Why Are Streaming Platforms and Content Creators Turning to Generative AI?

Streaming platforms and independent content creators are rapidly adopting generative AI to meet the growing demand for personalized and diverse music. AI algorithms enable streaming services to curate playlists based on user preferences, enhancing customer satisfaction and retention. Moreover, these platforms utilize generative AI to analyze listener data and predict emerging trends, ensuring they stay ahead in a competitive market. Personalized soundtracks, powered by generative AI, are becoming a staple feature of streaming platforms, offering users an immersive and tailored listening experience.

Content creators, including YouTubers, podcasters, and social media influencers, are leveraging generative AI to access affordable and royalty-free music for their projects. AI tools allow them to customize tracks to suit their content, ensuring alignment with branding and messaging goals. Additionally, the ability to generate background music and soundscapes in real time is revolutionizing live streaming and interactive media, providing audiences with dynamic audio experiences. As digital media consumption continues to rise, generative AI is playing an increasingly vital role in catering to the diverse needs of streaming platforms and creators alike.

What Role Does Generative AI Play in Enhancing Music Education and Collaboration?

Generative AI is transforming music education by providing aspiring musicians with innovative tools to learn, practice, and compose. AI-driven platforms can generate customized exercises, analyze performances, and offer real-time feedback, enabling students to improve their skills more effectively. Virtual tutors powered by generative AI simulate one-on-one instruction, adapting to individual learning styles and progress rates. These tools democratize access to high-quality music education, making it accessible to learners worldwide.

Collaboration is another area where generative AI is making a significant impact. Musicians and producers from different parts of the world can use AI-powered platforms to co-create music in real time, overcoming geographical and logistical barriers. AI tools also assist in language translation for lyrics and adapting compositions to local cultural nuances, fostering global collaboration and inclusivity. Furthermore, generative AI enables artists to experiment with new genres and styles, broadening their creative horizons. This seamless integration of technology into music education and collaboration is fostering a new era of creativity and connectivity within the industry.

What Is Driving the Growth of Generative AI in the Music Market?

The growth in the Generative Artificial Intelligence in Music market is driven by several factors, including the increasing demand for personalized music experiences, the proliferation of digital content creation, and advancements in AI technologies. Streaming platforms and music production studios are adopting AI tools to enhance efficiency, reduce costs, and deliver innovative content to their audiences. The rise of independent artists and content creators seeking accessible and customizable music solutions has further fueled market growth.

Additionally, consumer preferences for immersive and interactive audio experiences are encouraging the adoption of AI in applications such as gaming, virtual reality, and live streaming. Advancements in machine learning algorithms and cloud computing have made generative AI tools more powerful and accessible, driving widespread adoption across industries. Furthermore, the integration of AI with traditional music production tools and platforms has streamlined workflows, enabling faster and more creative outputs. These factors collectively highlight the transformative impact of generative AI on the music industry, paving the way for a dynamic and innovative future.

SCOPE OF STUDY:

The report analyzes the Generative Artificial Intelligence in Music market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (AI Music Software, AI Music Services); Application (Automated Music Composition Application, Music Arrangement & Orchestration Application, Music Personalization & Recommendation Application, Music Style Transfer & Remixing Application, Sound Synthesis & Design Application, Other Applications); End-Use (Music Production & Recording End-Use, Film & Television End-Use, Video Games & Interactive Entertainment End-Use, Advertising & Marketing End-Use, Music Education & Training End-Use, Streaming Services & Music Platforms End-Use, Other End-Uses)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 52 Featured) -

• Aiva Technologies
• Apple, Inc.
• Boomy
• Google DeepMind
• IBM Corporation
• Mubert
• Shutterstock
• Sony Group Corporation
• Soundful, Inc.
• Stability AI Ltd.

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