AI Chipsets for the IoT: the Processing Technologies Enabling “Far Edge” Intelligence

Price: Starting at USD 1,950

Publish Date: 22 Apr 2025

Code: AN-6275

Research Type: Report

Pages: 18

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Actionable Benefits

Actionable Benefits

Gain insight into the chipset architectures that are expected to power the next generation of Artificial Internet of Things (AIoT) devices.
Identify which Artificial Intelligence (AI) chipset designers are driving innovation in Microcontroller Unit (MCU), AI accelerator, and Field Programmable Gate Array (FGPA) design for far edge systems.
Understand the go-to-market strategies of established chipset designers and startup companies.

Research Highlights

Research Highlights

A detailed breakdown of 17 chipset designers’ go-to-market strategies for AIoT.
Insight into the innovation in AI chipset architecture design that is driving adoption into IoT Original Equipment Manufacturers’ (OEMs) product design roadmaps.
Forecasts of annual shipments of AI chipsets into IoT devices from 2024 to 2030, by MCUs, AI accelerators, FPGAs, and others.

Critical Questions Answered

Critical Questions Answered

Which AI chipset architectures will be the most important in powering Internet of Things (IoT) devices?
What advances in chipset design are optimizing power efficiency and AI processing performance to enable developments in the Tiny Machine Learning (TinyML) market?
How many annual AI chipset shipments are expected in IoT devices from 2024 to 2030?

Who Should Read This?

Who Should Read This?

Chipset suppliers.
Cellular module suppliers.
Designers of far edge AIoT systems.
OEMs and Original Device Manufacturers (ODMs).
IoT solution builders.

Companies Mentioned

Hexagon

Infineon

Lattice Semiconductor

NXP Semiconductors

STMicroelectronics

Syntiant

Table of Contents

1. KEY FINDINGS

2. KEY FORECASTS

3. KEY COMPANIES AND ECOSYSTEMS

4. TECHNOLOGY DEVELOPMENT AND COMPETITIVE LANDSCAPE

4.1. MCUS

4.2. AI ACCELERATORS

4.3. FPGAS

Companies Mentioned

Edge Impulse
Efinix
Hexagon
Infineon
Lattice Semiconductor
NXP Semiconductors
Qualcomm Inc
STMicroelectronics
Syntiant
Telit