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Last Updated: Apr 25, 2025 | Study Period:
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.
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.
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.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introdauction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | 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 |