Global AI-Based Audio Sensor Market Size and Forecasts 2030
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Global AI-Based Audio Sensor Market Size and Forecasts 2030

Last Updated:  Apr 25, 2025 | Study Period:

AI-BASED AUDIO SENSOR MARKET REPORT

INTRODUCTION

 AI-based audio sensors use artificial intelligence (AI) algorithms to interpret audio signals and extract pertinent data from them. These sensors can be used in numerous applications, including context-aware audio interfaces, microphone array signal processing, and real-time acoustic sensing.

 

These methods can be applied to voice recognition, sound source location, and other tasks. 

 

AI-BASED AUDIO SENSOR MARKET SIZE AND FORECAST

 

Ai Based Audio Sensor Market

 

 The Global AI-based Audio Sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.

 

NEW PRODUCT LAUNCH

Bosch created the acoustic sensor project called SoundSee. To extract valuable information from sound patterns for many use cases, including automotive, healthcare, Industry 4.0, and physical security, the SoundSee team at Bosch Research is building robust and scalable AI-powered deep audio analytics solutions.

 

Monitoring of children's asthma is one of the most recent SoundSee projects. SoundSee showed that audio AI may be applied to infer other signal modalities (such as torque and fuel pressure) with unexpectedly high fidelity. This, in turn, substantially corresponds with the state of the pumps' operation or their failures.

 

The BHI380 is a fully customizable, programmable, IMU-based AI sensor device that combines an accelerometer and gyroscope.

 

The integrated sensor fusion library offers simple gesture recognition in addition to 3D audio with head orientation for customized sound experiences. It can be utilized in various devices, including smart gadgets, smartphones, tablets, and wearables.

 

The PRO version of the BHI360 is the BHI380, which includes a more extensive collection of integrated application-specific algorithms: The BHI380 is based on the same architecture and comes with self-learning AI software appropriate for a variety of fitness tracking, making training and tracking simple and allowing for customised exercises.

 

The pedestrian dead reckoning (PDR) algorithm aids users in reaching their destination, even when the GPS signal is intermittent for a short time, while dedicated swim tracking software analyses swimming technique and advances users to the next level of fitness in the water.

 

AI-BASED AUDIO SENSOR MARKET KEY PLAYERS

 

THIS AI-BASED AUDIO SENSOR MARKET REPORT WILL ANSWER FOLLOWING QUESTIONS

  1. How many AI-based Audio Sensors are manufactured per annum globally? Who are the sub-component suppliers in different regions?
  2. Cost breakup of a Global AI-based Audio Sensor and key vendor selection criteria
  3. Where is the AI-based Audio Sensor manufactured? What is the average margin per unit?
  4. Market share of Global AI-based Audio Sensor market manufacturers and their upcoming products
  5. Cost advantage for OEMs who manufacture Global AI-based Audio Sensor in-house
  6. key predictions for the next 5 years in the Global AI-based Audio Sensor market
  7. Average B-2-B AI-based Audio Sensor market price in all segments
  8. Latest trends in the AI-based Audio Sensor market, by every market segment
  9. The market size (both volume and value) of the AI-based Audio Sensor market in 2023-2030 and every year in between?
  10. Production breakup of the AI-based Audio Sensor market, by suppliers and their OEM relationship

 

Sl no Topic 
Market Segmentation 
Scope of the report 
Abbreviations 
Research Methodology 
Executive Summary 
Introdauction 
Insights from Industry stakeholders 
Cost breakdown of Product by sub-components and average profit margin 
Disruptive innovation in theIndustry 
10 Technology trends in the Industry 
11 Consumer trends in the industry 
12 Recent Production Milestones 
13 Component Manufacturing in US, EU and China 
14 COVID-19 impact on overall market 
15 COVID-19 impact on Production of components 
16 COVID-19 impact on Point of sale 
17 Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 
18 Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 
19 Market Segmentation, Dynamics and Forecast by Application, 2023-2030 
20 Market Segmentation, Dynamics and Forecast by End use, 2023-2030 
21 Product installation rate by OEM, 2023 
22 Incline/Decline in Average B-2-B selling price in past 5 years 
23 Competition from substitute products 
24 Gross margin and average profitability of suppliers 
25 New product development in past 12 months 
26 M&A in past 12 months 
27 Growth strategy of leading players 
28 Market share of vendors, 2023 
29 Company Profiles 
30 Unmet needs and opportunity for new suppliers 
31 Conclusion 
32 Appendix