Generative Artificial Intelligence (AI) In Music Market Poised to Hit $1.12 Billion by 2029 with Accelerating Growth Trends

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What Will the Generative Artificial Intelligence (AI) In Music Industry Market Size Be by 2025?
The market size for generative artificial intelligence (ai) in music has seen exponential growth in the past few years. The projection suggests an increase from $0.34 billion in 2024 to $0.44 billion in 2025, with a compound annual growth rate (CAGR) of 28.2%. Factors that contributed to this growth in the historic period include enhanced computing power, innovative experimentation, improved data availability and quality, tailored content, and a surge in big data.

What's the Long-Term Growth Forecast for the Generative Artificial Intelligence (AI) In Music Market Size Through 2029?
The market for generative artificial intelligence (ai) in music is anticipated to witness a surge in the coming years. The market is estimated to reach a value of $1.12 billion in 2029, with a compound annual growth rate (CAGR) of 26.2%. This remarkable increase during the predicted period is linked to elements such as integration with creative tools, incorporation of AI into creative processes, ethical and regulatory concerns, cost effectiveness and scalability, and the dawn of AI-led content exploration. Notable trends during the prediction phase are advancements in deep learning algorithms, creative partnerships between AI and humans, revenue generation opportunities, real-time content production, and creation of ultra-realistic content.

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What Are the Key Growth Drivers Fueling the Generative Artificial Intelligence (AI) In Music Market Expansion?
Generative artificial intelligence (AI) in the music market is set for significant growth, propelled by the rising usage of smartphones. These devices, essentially mobile phones integrated with a portable computer, offer a range of features such as email, data storage and internet connectivity. Factors such as multifunctionality, social and cultural influences, affordability, and accessibility have fuelled smartphone adoption. The ubiquity of smartphones means a multitude of users globally can access music creation applications and platforms driven by Generative AI, enabling music composition, remixing, and production without costly studio equipment or specialized software. According to a May 2024 report from New York-based telecommunications company BankMyCell, 60.42% of the global population, amounting to 4.88 billion people, owns a smartphone. If multiple device users are included, the global total of active smartphone subscriptions is 7.21 billion. Future projections suggest that the number of smartphone users could reach 6.38 billion by 2029, a surge of 30.73% over five years. Consequently, the escalating adoption of smartphones is fuelling the expansion of generative AI in the music market.

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What Are the Key Trends Driving Generative Artificial Intelligence (AI) In Music Market Growth?
Leading businesses in the generative AI in the music market, like Stable Audio, are unveiling cutting-edge AI instruments for music and sound generation to bolster creativity, streamline tasks, and foster avant-garde compositions. Stable Audio, an AI tool for music and sound generation, can autonomously or collaboratively with people create melodies, harmonies, rhythms, sound effects, and full-fledged musical works. For example, in September 2023, Stability AI Ltd., a freely accessible and open-source generative AI firm in the UK, introduced Stable Audio. This tool, employing the newest AI algorithms, offers rapid, superior-quality music via a user-friendly online platform. Stable Audio is available in two versions: the basic free edition that allows creation and download of up to 20-second-long songs, and the 'Pro' subscription, which extends access to 90-second tracks downloadable for commercial usage. By leveraging the most recent AI advancements, Stable Audio provides musicians a means to create samples for their tracks.

How Is the Generative Artificial Intelligence (AI) In Music Market Segmented?
The generative artificial intelligence (ai) in musicmarket covered in this report is segmented -

1) By Type: Generative Adversarial Networks (GANs), Augmented Reality Convolutional Neural Networks (AR-CNNs), Transformer-Based Models
2) By Component: Software, Services
3) By Application: Composition Of Music, Music Mastering, Streaming Music, Making Of New Sounds, Other Applications

Subsegments:
1) By Generative Adversarial Networks (Gans): Music Composition And Generation, Style Transfer And Genre Creation, Sound Design And Sampling
2) By Augmented Reality Convolutional Neural Networks (AR-Cnns): Music Visualization And Interaction, Real-Time Music Creation And Manipulation, Virtual Music Performance Enhancements
3) By Transformer-Based Models: Music Sequence Generation, Melody And Harmony Composition, Lyrics And Songwriting AI Tools

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Which Companies Are Leading the Charge in Generative Artificial Intelligence (AI) In Music Market Innovation?
Major companies operating in the generative artificial intelligence (AI) in music market report are Apple Inc; Alphabet Inc; Microsoft Corporation; Alibaba Group Holding Limited; Sony Group Corporation; Amazon Web Services Inc; International Business Machines Corporation (IBM); NVIDIA Corporation; Shutterstock Inc; DEEZER SA; OpenAI Inc; Native Instruments USA Inc.; Stability AI Ltd; SoundHound AI Inc; SoundCloud Global Limited & Co KG; Moises Systems Inc; Pixelette Technologies LTD; Boomy Corporation; Amper Music Inc.; DigiTrax Entertainment Inc; Pandora Media Inc; Mubert Inc; Vochlea Music Ltd; Aiva Technologies SARL; WaveAI Inc

Which Regions Are Leading the Global Generative Artificial Intelligence (AI) In Music Market in Revenue?
North America was the largest region in the generative artificial intelligence (AI) in music market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in music market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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