Overview:
This report provides insight on the global market for AIoT modules which is supporting AI capability at the hardware level with GPU, CPU, NPU and DSP features or low-level AI support which are capable to run AI at software or through cloud-based AI algorithms. These modules are often used in camera, video, or analytics applications that require high levels of graphic processing, data storage, and real-time decision-making. It can also easily integrate with Android-based applications. This report provide insight on AI IoT module market by cellular connectivity technology (2G, 3G, 4G, 5G, NB-IoT, LTE-M, LPWA-Dual Mode) by application segment globally. The period covered by this report is Q1 2019 to 2030 with eight quarterly and seven yearly forecasts. This report helps in understanding the evolution of AI capability in applications. In-depth knowledge about cellular technology across 18 application categories is mapped within this report. In this report, 4G technology is further broken down into 4G Cat 1, 4G Cat 1 bis, 4G Cat 4, and 4G Cat others. 5G technology is also categorised into 5G and 5G RedCap. It also provides a comparative study of AIoT products offered by module and chipset players, as well as real-use cases to understand the current adoption of AI in various applications.
Table of Contents:
- AIoT Module Definition
- Embedded AI Evolution
- AI Penetration Trends
- Competitive Analysis
- By Module Player
- By Chipset Player
- Market Analysis
- By Module Player
- By Chipset Player
- By AI Type (Embedded, Non-embedded, Not available)
- By Technology (4G Cat 1, 4G Cat 1 bis, 4G Cat 4, 4G Other, 5G, 5G RedCap, 6G, NB-IoT, LTE-M)
- AI Module Product and Application Mapping by Module Players
- AI Chipset Product Comparison by Chipset Players
- AI Use Cases
Number of Pages: 22
Published Date: December 2022
