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무선 네트워크와 디바이스, 클라우드와 차세대 컴퓨팅, IoT, 빅데이터 분석용 AI 칩셋(2023-2028년)
AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2023 - 2028
상품코드 : 1307855
리서치사 : Mind Commerce
발행일 : 2023년 07월
페이지 정보 : 영문 549 Pages
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한글목차

세계의 AI 칩셋 시장에 대해 조사했으며, 시장 개요와 함께 기술 동향, 부문별 시장 동향, 시장 진입 기업 개요, 2028년까지의 예측 등의 정보를 전해드립니다.

목차

제1장 주요 요약

제2장 조사 개요

제3장 AI 칩셋 소개

제4장 기술, 솔루션, 시장

제5장 기업 분석

제6장 AI 칩셋 시장 분석과 예측 : 2023-2028년

제7장 결론과 제안

ksm
영문 목차

영문목차

Overview:

This report evaluates leading market players across the AI chipsets ecosystem, technology strategies, and solution plans. This includes leveraging AI chipsets for support of various emerging and disintermediating technology areas such as edge computing, 5G, and blockchain systems. Additional areas addressed include AI support of emerging computing technologies including edge platforms and servers.

This report also assesses applications and service support scenarios for AI chipsets across almost all major industry verticals. The report provides forecasts for AI chipset hardware, embedded software, professional service, deployment platforms, and applications for every major industry vertical as well as regional and country forecasts for 2023 to 2028. The report also provides exclusive recommendations for stakeholders within the AI chipsets ecosystem.

Select Report Findings:

The AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. With 88% of all chipsets globally shipping AI-equipped, over 62% of all electronics will have some form of embedded intelligence by 2028. This will also be transformational for existing critical business functions such as identity management, authentication, and cybersecurity.

Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden patterns among data, predict actionable insights and perform actions based on specific situations. AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance. This will be a boon for many aspects of ICT ranging from decision support and data analytics 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 through general improvements in automated decision-making, especially in the areas of robotic process automation, decision support systems, and overall data management. AI chipsets will be particularly useful for business edge equipment for real-time data analytics and store versus processing decisions.

Companies in Report:

  • Adapteva Inc.
  • Advanced Micro Devices Inc.
  • AIBrain Inc.
  • Alibaba Group
  • Almotive
  • Alphabet (Google)
  • Amazon Inc.
  • Analog Devices Inc.
  • AnotherBrain
  • Apple Inc.
  • Applied Materials Inc.
  • Baidu Inc.
  • Barefoot Networks
  • Bitmain Technologies Inc.
  • BrainChip Holdings
  • Broadcom Corporation
  • Cadence Design Systems Inc.
  • Cambricon Technologies Corporation Limited
  • Cerebras Systems
  • Chipintelli
  • Cypress Semiconductor Corp
  • DeePhi Tech
  • Dell EMC
  • Facebook
  • Fujitsu Ltd.
  • General Vision Inc.
  • Graphcore
  • 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
  • Knuedge Inc.
  • Koniku
  • KRTKL Inc.
  • LG Corporation
  • Marvell Technology Group Ltd.
  • MediaTek Inc.
  • Megvii
  • Mellanox Technologies
  • Microchip Technology Inc.
  • Micron Technology
  • Microsoft Corporation
  • Mythic
  • NEC Corporation
  • Nervana Systems
  • Nokia
  • NovuMind
  • Numenta Inc.
  • NVIDIA Corporation
  • NXP Semiconductors N.V.
  • Qualcomm Incorporated
  • Renesas Electronics Corporation
  • Rockchip
  • Rohm Semiconductor
  • 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
  • Tenstorrent Inc.
  • Tesla (DeepScale)
  • Texas Instruments Inc.
  • Thinci
  • ThinkForce
  • Toshiba Corporation
  • Vathys
  • VeriSilicon Limited
  • Wave Computing
  • Western Digital
  • XILINX Inc.
  • ZTE Corporation

Table of Contents

1.0. Executive Summary

2.0. Research Overview

3.0. AI Chipsets Introduction

4.0. Technologies, Solutions, and Markets

5.0. Company Analysis

6.0. AI Chipsets Market Analysis and Forecasts 2023-2028

7.0. Conclusions and Recommendations

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