Music Similarity Search Artificial Intelligence (AI) Market Report 2026

The music similarity search artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $1.15 billion in 2025 to $1.47 billion in 2026 at a compound annual growth rate (CAGR) of 27.6%. The growth in the historic period can be attributed to growing digital music libraries, rise of music streaming platforms, early adoption of AI in audio analytics, demand for copyright management tools, increasing consumer preference for personalized playlists.

The music similarity search artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $3.87 billion in 2030 at a compound annual growth rate (CAGR) of 27.4%. The growth in the forecast period can be attributed to expansion of AI-driven music creation tools, integration of AR/VR for immersive music experiences, growth of cloud-based AI music services, rising demand for real-time music similarity analysis, adoption of AI in global music cataloging. Major trends in the forecast period include ai-powered music analysis, personalized music recommendation, real-time audio fingerprinting, automated music tagging & cataloging, cross-platform music discovery.

The increasing adoption of smartphones is anticipated to drive the expansion of the music similarity search artificial intelligence (AI) market in the coming years. A smartphone is a portable device that combines communication functions with computing capabilities, enabling users to make calls, browse the internet, run applications, and perform a variety of digital tasks. The popularity of smartphones continues to rise as ongoing technological innovations offer faster performance, enhanced connectivity, and multifunctional features, making them indispensable for everyday communication and productivity. The extensive use of smartphones highlights the importance of music similarity search AI, allowing users to easily discover, explore, and receive tailored music recommendations anytime and anywhere directly on their devices. For example, in February 2023, a report by Uswitch Limited, a UK-based online and telephone comparison service provider, stated that there were 71.8 million active mobile connections in 2022, and by 2025, it is projected that 95% of the UK’s 68.3 million population will own smartphones. Consequently, the rising smartphone adoption is fueling the growth of the music similarity search artificial intelligence (AI) market.

Leading companies in the music similarity search AI market are developing advanced solutions such as AI-powered sample discovery tools to uncover subtle sonic similarities that traditional search methods may overlook. AI-powered sample discovery tools are applications that leverage AI to identify and suggest audio samples with similar sounds or characteristics, streamlining the music creation process. For instance, in September 2025, WAVS, a US-based music technology company, launched AI Sample Finder, an AI-powered sample discovery tool. AI Sample Finder allows users to search WAVS’ library for samples closely resembling an uploaded audio file using music similarity search AI. Accessible via both browser and VST/AU plugin, it enables creators to drag and drop samples directly from their DAW for quick searches, ensuring a seamless workflow. Using AI-driven similarity, users can explore and discover sounds that complement their tracks or emulate favorite samples and synth patches.

In April 2025, Epidemic Sound, a Sweden-based music company, acquired Song Sleuth for an undisclosed amount. Through this acquisition, Epidemic Sound aims to leverage its expertise in AI-driven music tracking and rights management to launch Aentidote, a service that accurately detects remixes, covers, and live recordings across digital platforms. Song Sleuth is an Ireland-based company specializing in music similarity search AI.

Major companies operating in the music similarity search artificial intelligence (AI) market are Spotify AB, Deezer, Musixmatch, Audible Magic Corp., Qloo Inc., Sonosuite, LANDR, Aimi Inc., ACRCloud Ltd., Mubert Inc., Super Hi-Fi, Beatoven.ai, Jamahook, Synchtank Ltd., Audiosocket, WAVS Inc., Sony AI Inc., Chosic, Cyanite GmbH, Sound Ideas AI.

North America was the largest region in the music similarity search artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the music similarity search artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the music similarity search artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The music similarity search artificial intelligence (AI) market consists of revenues earned by entities by providing services such as audio feature extraction, automated playlist generation, genre classification, and soundtrack matching. The market value includes the value of related goods sold by the service provider or included within the service offering. The music similarity search artificial intelligence (AI) market also includes sales of studio monitoring equipment, custom AI chips, high-resolution audio recorders, and FPGA accelerators. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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