Global Generative AI in Music Market Size To Exceed USD 7410.4 Million By 2035 |
Category: Information & TechnologyGlobal Generative AI in Music Market Size To Exceed USD 7410.4 Million By 2035
According to a research report published by Spherical Insights & Consulting, the Global Generative AI in Music Market Size is Expected to Grow from USD 558.4 Million in 2024 to USD 7410.4 Million by 2035, at a CAGR of 26.5 % during the forecast period 2025-2035.
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Browse key industry insights spread across 250 pages with 150 Market data tables and figures & charts from the report on the "Global Generative AI in Music Market Size, Share, and COVID-19 Impact Analysis, By Technology (Transformers, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Others), By Application (Automated Music Composition, Music Arrangement and Orchestration, Music Style Transfer and Remixing, Sound Synthesis and Design, Music Personalization and Recommendation, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2025 – 2035." Get Detailed Report Description Here: https://www.sphericalinsights.com/reports/generative-ai-in-music-market
The generative AI in music refers to the application of advanced artificial intelligence algorithms to autonomously compose, generate, and produce musical content in the music industry. These systems use machine learning models, particularly deep learning, to analyze vast amounts of current music data in order to generate new melodies, harmonies, rhythms, and even lyrics without direct human involvement. This technology is changing the way that music is produced, allowing for the creation of a vast array of musical compositions that are tailored to specific genres, moods, or user preferences. It also enables more personalized music experiences for listeners and offers new tools for musicians, producers, and music industry businesses to better engage and build relationships with fans. The primary factors propelling market growth are the increasing need for personalized music experiences, the incorporation of AI into music production and delivery, and advancements in AI technology. One of the primary causes of this expansion is the rising demand for personalized musical experiences. Additionally, AI-powered platforms speed up editing and mastering, which reduces the time and cost associated with traditional music production. The market's noticeable growth is being driven by the democratization of music production and the lifting of production constraints. However, Intellectual property issues, high research costs, moral dilemmas, restricted access to high-quality data, and opposition from established musicians and industry participants are some of the factors restricting the market for generative AI music.
The transformers segment dominated the market in 2024 and is projected to grow at a substantial CAGR during the forecast period.
Based on the technology, the generative AI in music market is divided into geographic information systems, drone surveillance, advanced communication systems, and artificial intelligence. Among these, the transformers segment dominated the market in 2024 and is projected to grow at a substantial CAGR during the forecast period. Transformers are excellent at producing complex, multi-layered compositions that resemble human ingenuity, they have been incorporated into a variety of music generating systems.
The automated music composition segment accounted for the largest share in 2024 and is anticipated to grow at a remarkable CAGR during the forecast period.
Based on the application, the generative AI in music market is divided into public safety answering points, law enforcement agencies, fire departments, emergency medical services, search & rescue teams, and hazardous materials response units. Among these, the automated music composition segment accounted for the largest share in 2024 and is anticipated to grow at a remarkable CAGR during the forecast period. Automated composition is a major factor in the music industry's adoption of AI since it can instantly create high-quality, royalty-free music. The quality and variety of music produced by AI models are also on par with that of human composers, as these models continue to advance.
North America is expected to hold the majority share of the global generative AI in music market during the forecast period.
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North America is expected to hold the majority share of the global generative AI in music market during the forecast period. North America's robust technological infrastructure and significant centers for AI research and development are the reasons behind its generative AI in music market. Leading IT firms and startups that are at the forefront of AI advancements in music creation and streaming services are based in the area.
Asia Pacific is anticipated to grow at the fastest pace in the global generative AI in music market during the forecast period. The demand for cutting-edge AI solutions in music composition and production is driven by the region's thriving entertainment sector, especially in K-pop and anime. Some of the most cutting-edge tech companies in the world are based in nations like China, Japan, and South Korea, which are also making significant investments in AI technologies.
Major vendors in the global generative AI in music market are Google LLC, LANDR, Meta, Udio, OpenAI, Stability AI, SOUNDRAW, Suno.ai, Microsoft, Ecrett Music, Vochlea Music, Sony Group Corp., Boomy Corporation, Aiva Technologies SARL, and Others.
Key Target Audience
- Market Players
- Investors
- End-users
- Government Authorities
- Consulting and Research Firm
- Venture capitalists
- Value-Added Resellers (VARs)
Key Market Development
- In May 2024, Google LLC unveiled Veo, a new AI video-generating model that uses DeepMind's Gemini model for improved consistency and quality. Veo can produce 1080p videos using text, photos, and other media. In addition to Veo, Google additionally announced Imagen 3, an enhanced picture production model that produces more realistic visuals with more detail and faster comprehension.
Market Segment
This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the generative AI in music market based on the below-mentioned segments:
Global Generative AI in Music Market, By Technology
- Transformers
- Variational Autoencoders (VAEs)
- Generative Adversarial Networks (GANs)
- Diffusion Models
- Others
Global Generative AI in Music Market, By Application
- Automated Music Composition
- Music Arrangement and Orchestration
- Music Style Transfer and Remixing
- Sound Synthesis and Design
- Music Personalization and Recommendation
- Others
Global Generative AI in Music Market, By Regional Analysis
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia Pacific
- South America
- Brazil
- Argentina
- Rest of South America
- Middle East & Africa
- UAE
- Saudi Arabia
- Qatar
- South Africa
- Rest of the Middle East & Africa
About the Spherical Insights & Consulting
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