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Last Updated: Apr 27, 2025 | Study Period: 2023-2030
A fundamental piece of equipment called an accelerometer transforms mechanical motion into an electrical signal.
It is an electromechanical instrument that detects acceleration forces, whether they are brought on by motion or gravity.
A network of embedded computers that interacts with the physical environment is known as an embedded sensor network.
These embedded computers, also known as sensor nodes, are frequently physically compact and reasonably priced computers that each have a variety of sensors or actuators.
Digital cameras and tablet computers both use accelerometers to ensure that images on screens are always presented upright. Drones use accelerometers to stabilise their flying.
Coordinated accelerometers can be used to quantify the gradient of the gravitational field, or differences in proper acceleration, namely gravity, over their separation in space.
The Global Embedded Accelerometer 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.
The first automotive IMU with embedded machine learning was released by STMicroelectronics. The ASM330LXH inertial measurement unit (IMU) from STMicroelectronics makes a smart move by bringing high levels of automation one step closer with its machine-learning (ML) core.
The ML core allows for quick real-time responses and complex functions while consuming little system power.
The automotive-qualified ASM330LHHX employs ST's micro-electro-mechanical systems (MEMS) technology to fit a 3-axis accelerometer and 3-axis gyroscope into a 2.5mm x 3mm x 0.83mm package.
For purposes including vehicle location and digital stabilisation, the 6-axis module provides movement and attitude detection.
In order to ensure exceptionally low latency between the detection of an event and the vehicle's response, the ML core, a hardwired processing engine, performs AI algorithms directly on the sensor.
This makes it possible to accomplish complex real-time tasks with significantly less system energy and processing power than a solution integrated into an application processor or cloud-based AI.
To make application development simpler, demonstration boards and free software example libraries are accessible.
Vehicle-stationary identification, attitude and heading reference, altitude estimate, car-tow detection, and crash detection are among the functions that are provided.
For applications requiring the highest accuracy and shortest latency, such as accurate positioning, vehicle-to-everything (V2X) communication, impact detection, and crash reconstruction, there is also a high-performance mode.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
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 |