The global sound recognition market size is expected to reach USD 4.40 billion by 2030, expanding at a CAGR of 18.7% from 2024 to 2030, according to a new report by Grand View Research, Inc. Sound recognition runs on inexpensive microcontrollers that result in a low bill of materials, thereby providing an economical solution. It is highly flexible since it can detect various sounds and allows users to add their sound event classifiers, thereby providing easy customization of sound event. Thus, high flexibility and low cost are expected to propel the market growth.
Sound recognition technology is used for various purposes, such as music recognition and speech recognition among others. Increasing adoption across applications such as for monitoring and surveillance system for automatic alarm detection and rising use in smart safety solutions are the factors expected to drive the market growth. Other factors, such as increasing adoption of advanced technologies including Artificial Intelligence (AI), machine learning, Internet of Things (IoT), and others, are anticipated to further drive the adoption of sound recognition in the forthcoming years.
The artificial intelligence-based sound recognition technology is expected to register a high CAGR over the forecast period. This is due to increasing involvement of market vendors in developing sound recognizing products integrated with intelligent technology to provide customers with ease and flexibility. In the application segment, the automotive section is expected to gain moderate traction. This is due to factors such as integration of sound recognition technology in autonomous cars to recognize sounds inside and outside the car and improve safety.
Gather more insights about the market drivers, restrains and growth of the Global Sound Recognition Market
Sound Recognition Market Report Highlights
- Increasing adoption of sound recognition technology for emergency vehicle detection condition monitoring and wear detection, amongst others are factors driving growth of the automotive segment
- Benefits such as high efficiency due to edge processing and high control and awareness with the help of real-time analytics are driving the sound recognition market growth
- Vendors in the Europe market are gaining a competitive edge in the market by receiving substantial investments from companies such as Cambridge Innovation Capital plc and IQ Capital for enhancing their exiting sound recognition technology
- Abilisense, AltexSoft, Apple Inc., Audio Analytic, and iNAGO Inc. are some of the key plyayers operating in the market
Key Sound Recognition Company Insights
Some of the key companies in the sound recognition market include Abilisense, Apple Inc., MicrodB, and others. Key players are taking several strategic initiatives, such as mergers and acquisitions, and partnerships with other major companies.
- Apple Inc.'s offerings in sound recognition are primarily integrated within its ecosystem of devices and software, enhancing user experience through advanced audio processing capabilities. The company's sound recognition features are prominently showcased in products such as the iPhone, iPad, and HomePod, where they utilize machine learning algorithms to identify specific sounds such as alarms, doorbells, or even the cries of a baby.
- MicrodB specializes in advanced sound recognition technologies catering to diverse industries, including security, healthcare, and consumer electronics. The company leverages cutting-edge artificial intelligence and machine learning algorithms to develop solutions that accurately identify and classify sound patterns. This capability allows MicrodB to offer noise monitoring systems, acoustic event detection tools, and real-time audio analytics platforms.
List of Key Players in Sound Recognition Market
- Abilisense
- AltexSoft
- Analog Devices, Inc.
- Apple Inc.
- Audio Analytic
- iNAGO Inc.
- MicrodB
- Renesas Electronics Corporation
- VocalZoom
- Wavio
Order a free sample PDF of the Sound Recognition Market Intelligence Study, published by Grand View Research.