Music Similarity Search Artificial Intelligence (AI) Global Market Report 2025

The music similarity search artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $0.9 billion in 2024 to $1.15 billion in 2025 at a compound annual growth rate (CAGR) of 27.8%. The growth in the historic period can be attributed to increasing adoption of music streaming platforms, rising demand for personalized music recommendations, growing digital music consumption, expanding online content libraries, and a greater need for efficient copyright management.

The music similarity search artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $3.04 billion in 2029 at a compound annual growth rate (CAGR) of 27.5%. The growth in the forecast period can be attributed to rising focus on AI-driven music analytics, growing demand for automated playlist generation, increasing adoption of AI in music cataloging, expanding digital content creation, and rising investments in music tech startups. Key trends in the forecast period include advancements in deep learning and neural networks, innovations in audio fingerprinting and similarity detection, development of cloud-based music analysis platforms, improvements in real-time music processing, and investment in audio analysis technologies.

The growing penetration of smartphones is expected to drive the growth of the music similarity search artificial intelligence (AI) market in the coming years. A smartphone is a mobile device that combines communication features with computing functions, allowing users to make calls, access the internet, run applications, and perform various digital tasks. Their rising popularity is fueled by continuous technological advancements that deliver faster performance, improved connectivity, and multifunctional capabilities, making them essential for daily communication and productivity. The widespread use of smartphones makes music similarity search AI increasingly important, as it allows users to effortlessly discover, explore, and receive personalized music recommendations anytime and anywhere directly on their devices. For example, according to a report by Uswitch Limited, a UK-based online and telephone comparison service provider, there were 71.8 million active mobile connections in 2022, and by 2025, 95 percent of the UK’s 68.3 million population is expected to own smartphones. Therefore, rising smartphone adoption is propelling the growth of the music similarity search 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 players in the music similarity search artificial intelligence (ai) market are Spotify AB, Universal Music Group, Deezer, Musixmatch, West One Music Group Ltd., 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., and Chosic.

North America was the largest region in the music similarity search artificial intelligence (AI) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in music similarity search artificial intelligence (AI) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the music similarity search artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the media sector, particularly in content production, broadcasting, and digital distribution. Higher duties on imported audiovisual equipment, editing software, and broadcast technology have increased production and operational costs for media companies. Film and television studios face added expenses for sourcing foreign-made cameras, lighting systems, and post-production tools, while news and broadcasting agencies are contending with inflated costs for transmission equipment and satellite services. Moreover, retaliatory tariffs in international markets are restricting the export of U.S.-produced media content, limiting global revenue potential. In response, media organizations are turning to domestic suppliers, expanding digital platforms, and investing in AI-driven content creation to streamline operations and preserve competitiveness in a volatile global trade environment.

The music similarity search artificial intelligence (AI) market research report is one of a series of new reports that provides music similarity search artificial intelligence (AI) market statistics, including music similarity search artificial intelligence (AI) industry global market size, regional shares, competitors with a music similarity search artificial intelligence (AI) market share, detailed music similarity search artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the music similarity search artificial intelligence (AI) industry. This music similarity search artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Music similarity search artificial intelligence (AI) is a technology that leverages machine learning and advanced algorithms to analyze the characteristics of musical tracks. It examines elements such as melody, rhythm, tempo, harmony, and sound texture to determine how closely different pieces of music resemble each other. By processing and comparing these features, the AI can identify similarities between songs, facilitating efficient organization and navigation of large music collections.

The primary components of music similarity search artificial intelligence (AI) include software, hardware, and services. Software consists of programs and applications designed to analyze, compare, and identify similarities between music tracks using AI algorithms that process features such as melody, rhythm, and timbre. It is available in various deployment modes, including on-premises and cloud, and utilizes technologies such as deep learning, machine learning, natural language processing, and others. Applications include music recommendation, copyright detection, music cataloging, playlist generation, audio fingerprinting, and more, serving end-users such as music streaming platforms, record labels, broadcasters, independent artists, and others.

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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