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. 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.
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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.
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
The leading players in the Sound Recognition market include:
- Abilisense
- AltexSoft
- Analog Devices, Inc.
- Apple Inc.
- Audio Analytic
- iNAGO Inc.
- MicrodB
- Renesas Electronics Corporation
- VocalZoom
- Wavio
Why should you buy this report?
- Comprehensive Market Analysis: Gain detailed insights into the global market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players worldwide.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the global market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listing for you to stay ahead of the curve
- COVID-19's impact and how to sustain in these fast-evolving markets
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. Sound Recognition Market Variables, Trends, & Scope
Chapter 4. Sound Recognition Market: Devices Estimates & Trend Analysis
Chapter 5. Sound Recognition Market: Applications Estimates & Trend Analysis
Chapter 6. Sound Recognition Market: Regional Estimates & Trend Analysis
Chapter 7. Competitive Landscape
Companies Mentioned
The leading players in the Sound Recognition market include:- Abilisense
- AltexSoft
- Analog Devices, Inc.
- Apple Inc.
- Audio Analytic
- iNAGO Inc.
- MicrodB
- Renesas Electronics Corporation
- VocalZoom
- Wavio
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 100 |
| Published | September 2024 |
| Forecast Period | 2023 - 2030 |
| Estimated Market Value ( USD | $ 1.35 Billion |
| Forecasted Market Value ( USD | $ 4.4 Billion |
| Compound Annual Growth Rate | 18.7% |
| Regions Covered | Global |
| No. of Companies Mentioned | 11 |
