GLOBAL ULTRA-LOW POWER AI SoC MARKET

INTRODUCTION

Ultra-Low Power AI SoC With extremely low power usage, it uses artificial intelligence to predict problems in electronic equipment with motors and sensors in real-time. Real-time failure prediction is made possible by edge AI, eliminating the need for a cloud server.

run using the most appropriate architecture for both the hardware and software (HW/SW), in addition to compression and optimization The new AI chip forecasts faults in electronic devices with motors using artificial intelligence.

GLOBAL ULTRA-LOW POWER AI SoC MARKET SIZE AND FORECAST

The Global Ultra-Low Power AI SoC 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

 In the IoT space, ROHM Semiconductor launched the Ultra-Low Power AI SoC creation of an on-device learning AI chip (SoC with on-device learning AI accelerator).

With extremely low power consumption, the new AI chip uses artificial intelligence to predict faults in electronic devices with motors and sensors in real-time.In order to conduct artificial intelligence operations, AI chips typically perform learning and inferences since learning necessitates the collection, compilation, and ongoing updating of enormous amounts of data.

As a result, the AI chip that does learning needs a lot of computational power, which necessarily uses a lot of power.In order to create an effective IoT ecosystem, it has been challenging to develop AI processors that can learn in the field while consuming little power.

The recently created AI chip from ROHM, which is based on a "on-device learning algorithm" created by Professor Matsutani of Keio University, is primarily made up of an AI accelerator (AI-dedicated hardware circuit) and ROHM's high-efficiency 8-bit CPU, the "tinyMicon MatisseCORETM."

It is possible to learn and infer with extremely low power consumption of just a few tens of mW (1000 times smaller than traditional AI chips capable of learning) by combining the 20,000-gate ultra-compact AI accelerator with a high-performance CPU.

Since 'anomaly detection findings' (anomaly score) may be produced numerically for unknown input data at the location where equipment is installed without needing a cloud server, this enables real-time failure prediction in a variety of applications.

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

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