IoT will represent more than 81% of the entire AI chipset market by 2027

DUBLIN, July 21, 2022 /PRNewswire/ — Added “AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2022 – 2027” report to’s offer.

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Select Report Findings:

  • More than 87% of global chipsets will be equipped with AI

  • United States will generate more than $16.7 billion USD by 2027

  • Embedded AI in IoT “Things” Is the Fastest Growing Platform Area

  • IoT will represent more than 81% of the total AI chipset market by 2027

  • Combining AI and IoT (AIoT) will drive significant chipset innovation

  • Edge Computing, Blockchain and Data Analytics will be drivers in the near term

  • Top 20 Vendors Cover Over 94% of the Entire AI Chipset Market

The AI ​​chipset market is poised to transform the entire ecosystem of embedded systems with a myriad of AI capabilities such as deep machine learning, image sensing, and many others. With 87% of all chipsets shipped globally with AI, more than 61% of all electronics will have some form of embedded intelligence by 2027. This will also be transformative for existing critical business functions such as identity management, authentication and cybersecurity.

Multi-processor AI chipsets learn from the environment, users and machines to discover hidden patterns in data, predict actionable insights, and take actions based on specific situations. AI chipsets will become an integral part of both AI software/systems and critical support for any data-intensive operation, as they dramatically improve processing for various functions and improve overall computing performance. This will be a boon to many aspects of IT, ranging from decision support and data analytics to product security and system optimization.

Consumers will benefit indirectly from improved product and service performance, such as device- and cloud-based gaming. Business and industrial users will benefit from general improvements in automated decision-making, particularly in the areas of robotic process automation, decision support systems and general data management. AI chipsets will be particularly useful for enterprise edge devices for real-time data analysis and storage versus processing decisions.

Main topics covered:

1.0 Summary

2.0 Research overview

3.0 AI Chipsets Introduction

4.0 Technologies, solutions and markets

5.0 Business Analysis

6.0 AI Chipsets Market Analysis and Forecasting 2022 – 2027

7.0 Conclusions and recommendations

Named companies

  • Adapteva Inc.

  • Advanced Micro Devices Inc.

  • AIBrain Inc.

  • Alibaba Group

  • Almotive

  • Alphabet (Google)

  • Amazon Inc.

  • Analog Devices Inc.

  • OtherBrain

  • Apple Inc.

  • Applied Materials Inc.

  • Baidu Inc.

  • Networking barefoot

  • Bitmain Technologies Inc.

  • BrainChip Ownership

  • Broadcom Corporation

  • Cadence Design Systems Inc.

  • Cambricon Technologies Corporation Limited

  • Cerebras Systems

  • chip intelligence

  • Cypress Semiconductor Corp

  • DeePhi Tech

  • Dell EMC

  • Facebook

  • Fujitsu Ltd.

  • General Vision Inc.

  • Graphcore

  • Grok

  • Gyrfalcon Technology Inc.

  • Habana

  • Horizon Robotics

  • HPE

  • Huawei Technologies Co. Ltd.

  • IBM Corporation

  • Imagination Technologies Limited

  • Inbenta Technologies Inc.

  • Integrated Device Technology Inc.

  • Intel Corporation

  • Kalray

  • kneron

  • Knuedge Inc.

  • Conical

  • KRTKL Inc.

  • LG Corporation

  • Marvell Technology Group Ltd.

  • MediaTek Inc.

  • Megvic

  • Mellanox Technologies

  • Microchip Technology Inc.

  • Micron technology

  • Microsoft Corporation

  • mythical

  • NEC Corporation

  • Nervana Systems

  • Nokia

  • NovuMind

  • Numenta Inc.

  • NVIDIA Corporation

  • NXP Semiconductors NV

  • Qualcomm Incorporated

  • Renesas Electronics Corporation

  • rock chip

  • Rohm Semiconductor

  • Samba Nova Systems

  • Samsung Electronics Co Ltd.

  • Semtech Corporation

  • SenseTime

  • Sentient Technologies Holdings Limited

  • Shanghai Think-Force Electronic Technology Co. Ltd.

  • SK Hynix Inc.

  • SK Telecom

  • Softbank Group Corp. (ARM Limited)

  • STMicroelectronics

  • Synopsys Inc.

  • Taiwan Semiconductor Manufacturing Company Limited

  • Tenstorrent Inc.

  • Tesla (deep scale)

  • Texas Instruments Inc.

  • thinci

  • brainpower

  • Toshiba Corporation

  • Vathys

  • VeriSilicon Limited

  • Wave Computing

  • Western Digital

  • XILINX Inc.

  • ZTE Corporation

For more information on this report, please visit

Media contact:

Research and markets
Laura Woodsenior manager
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