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.
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Author
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.
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.
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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