AI Chipsets for Wireless Networks and Devices Global Market Report 2022: Embedded AI in IoT Devices Presents Opportunities – GlobeNewswire | Region & Cash

DUBLIN, July 22, 2022 (GLOBE NEWSWIRE) — Added report, AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2022-2027 Offer.

Select Report results:

  • More than 87% of the world’s chipsets will be equipped with AI
  • The United States will generate over $16.7 billion by 2027
  • Embedded AI in IoT “Things” is the fastest growing platform area
  • IoT will account for over 81% of the total AI chipset market by 2027
  • The combination of AI and IoT (AIoT) will drive significant chipset innovations
  • Edge computing, blockchain and data analytics will be drivers in the short term
  • The top 20 vendors account for more than 94% of the total AI chipset market

The AI ​​chipset market is poised to transform the entire embedded systems ecosystem with a variety of AI capabilities such as deep machine learning, image recognition, and many others. With 87% of all AI-enabled chipsets shipping worldwide, by 2027 over 61% of all electronics will have some form of embedded intelligence. This will also be fundamental to existing critical business functions such as identity management, authentication and cybersecurity.

Multiprocessor AI chipsets learn from the environment, users, and machines to uncover hidden patterns in data, predict actionable insights, and take actions based on specific situations. AI chipsets are becoming an integral part of both AI software/systems and crucial to all data-intensive operations as they drastically improve processing for various functions and improve overall computing power. This will be a boon for many aspects of ICT, from decision support and data analysis to product safety and system optimization.

Consumers will realize benefits indirectly through improved product and service performance such as device and cloud-based gaming. Enterprise 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 are particularly useful for business edge equipment for real-time data analysis and decisions between storage and processing.

Main topics covered:

1.0 Summary

2.0 Research Overview

3.0 AI Chipsets Introduction

4.0 technologies, solutions and markets

5.0 Company Analysis

6.0 AI Chipset Market Analysis and Forecasts 2022 – 2027

7.0 Conclusions and Recommendations

companies mentioned

  • Adapteva Inc.
  • Advanced Micro Devices Inc.
  • AIBrain Inc.
  • Alibaba Group
  • Almotiv
  • letters (google)
  • amazon inc
  • Analog Devices Inc.
  • Another brain
  • apple inc
  • Applied Materials Inc.
  • Baidu Inc.
  • Barefoot Networks
  • Bitmain Technologies Inc.
  • BrainChip stocks
  • Broadcom Corporation
  • Cadence Design Systems Inc.
  • Cambricon Technologies Corporation Limited
  • Cerebras systems
  • chip intelligence
  • Cypress Semiconductor Corp
  • DeepPhi Tech
  • DellEMC
  • Facebook
  • Fujitsu Ltd.
  • General Vision Inc.
  • graph core
  • groq
  • 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
  • Knudge Inc.
  • Koniku
  • KRTKL Inc.
  • LG Corporation
  • Marvell Technology Group Ltd.
  • MediaTek Inc.
  • megvii
  • 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
  • rockchip
  • Raw semiconductors
  • SambaNova 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
  • Tentorrent Inc.
  • Tesla (Deep Scale)
  • Texas Instruments Inc.
  • Thinci
  • ThinkForce
  • Toshiba Corporation
  • Vathys
  • Veri Silicon Limited
  • wave computing
  • Western digital
  • XILINX Inc.
  • ZTE Corporation

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