Overview:
This report tracks the global cellular AI IoT module and chipsets shipments along with their connectivity technology (2G, 3G, 4G, 5G, NB-IoT, LTE-M, LPWA-Dual Mode). 4G technology can be further split into 4G Cat 1, Cat 1 Bis, Cat 4 and Cat Others. “AI Module” can be defined as a module 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. This module is mainly used for camera, video or analytics types of applications where it requires higher graphic processing, data storage, and real-time decision-making. It can also easily integrate with Android-based applications. Currently, we are tracking 50+ IoT module vendors’ shipments performance across 10 chipset players, and 18+ IoT applications quarterly starting from Q1 2019 to Q3 2022. Some major applications we track here namely: automotive, smart meter, point of sale, industrial, enterprise, telematics, router/CPE, asset tracking, healthcare, PC, drones etc.
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Author
Soumen Mandal
Soumen is a Senior Analyst tracking IoT, Automotive and Telecommunication ecosystem at Counterpoint Technology Market Research. He is interested in IoT applications, connections, components, electric vehicles, connected cars, autonomous vehicles, semiconductors, shared mobility, services and emerging technologies. He started his career as an Energy Analyst with Manikaran Power Ltd. He has experience working with DISCOMs and SLDCs in the Indian power and energy industry. He is currently based in Gurgaon. He holds an Electrical Engineering degree and an MBA in Marketing & Finance.
Subhadip Roy
Subhadip Roy is a Research Analyst at Counterpoint, specializing in IoT cellular modules, chipsets, NAD modules, Satellite IoT, and IoT applications. With a technical background, Subhadip holds a B-Tech degree in Electrical Engineering from West Bengal University of Engineering. He contributes to research and analysis in the evolving IoT industry, with a focus on technological advancements and market trends.
Hanumant Pawar
Hanumant Pawar, in Counterpoint's IoT research, focuses on the cellular IoT module market and applications like smart meters and point-of-sale devices. He holds a bachelor’s degree in mechanical engineering from Pune University.
Anish Khajuria
Anish is an Analyst at Counterpoint Research with over four years of experience in the IoT and emerging technologies sector. His work focuses on analyzing market trends and delivering insightful reports that help shape strategic decisions. Anish's expertise spans across AI, edge computing and digital transformation, making him a pivotal player in the tech industry's evolving landscape. He’s passionate about driving innovation and crafting smart solutions that redefine connectivity and efficiency.
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