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AIチップセット市場-成長、動向、COVID-19の影響、および予測(2021年-2026年)

AI Chipsets Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

出版日: | 発行: Mordor Intelligence Pvt Ltd | ページ情報: 英文 130 Pages | 納期: 2-3営業日

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AIチップセット市場-成長、動向、COVID-19の影響、および予測(2021年-2026年)
出版日: 2021年01月01日
発行: Mordor Intelligence Pvt Ltd
ページ情報: 英文 130 Pages
納期: 2-3営業日
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  • 概要
  • 目次
概要

世界のAIチップセットの市場規模は、予測期間(2021年から2026年)の間に35.0%のCAGRで成長すると予想されています。家庭用電化製品業界における自動運転、エッジ分析、スマートアプライアンスの需要の増加など、さまざまな要因が市場の成長を後押しすると予想されます。

  • 自動車、金融、小売などの複数の業界で機械学習が急速に成長しているため、AIテクノロジーの採用が促進されています。
  • ソーシャルメディアとeコマースの浸透の増加は、大量のデータの生成をもたらしています。たとえば、インドのeコマースユーザーは、毎日30~40 TB(テラバイト)を超えるデータを生成します。このような巨大なデータをより高速に処理する必要性が市場を牽引しています。
  • また、AIにより、人間と同様のさまざまな活動が可能になるため、今後も多くの機会が開かれることが期待されます。さらに、人間を意識したAIシステムの開発への注目が高まっていることも、市場の成長を促進しています。ただし、熟練した労働力の欠如とプロトコルの欠如は、市場の成長を抑制しています。

当レポートでは、AIチップセット市場を調査し、市場概要、市場の成長要因および阻害要因の分析、コンポーネント別・用途別・地域別の市場規模の推移と予測、競合情勢、主要企業のプロファイル、市場機会など、包括的な情報を提供しています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場力学

  • 市場概要
  • 市場の推進力
    • 自動運転技術に対する需要の増加
    • IoTアプリケーション向けのエッジ分析の成長
  • 市場の抑制要因
    • 設計とAIインターフェースの複雑さ
  • 業界のバリューチェーン分析
  • ポーターのファイブフォース分析

第5章 市場セグメンテーション

  • コンポーネント別
    • 中央処理装置(CPU)
    • グラフィックスプロセッシングユニット(GPU)
    • ニューラルネットワークプロセッサ(NNP)
    • その他のコンポーネント
  • 用途別
    • 家電
    • 自動車
    • ヘルスケア
    • 自動化とロボット工学
    • その他のアプリケーション
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • その他の地域(RoW)

第6章 競合情勢

  • 企業プロファイル
    • Advanced Micro Devices Inc. (AMD)
    • Amazon Web Services Inc.
    • Xilinx Inc.
    • Graphcore Ltd
    • Huawei Technologies Co. Ltd
    • IBM Corporation
    • Intel Corporation
    • NVIDIA Corporation
    • Qualcomm Inc.
    • Samsung Semiconductor (Samsung Electronics Co. Ltd)
  • Investment Analysis

第7章 市場機会と動向

目次
Product Code: 66738

The AI chipsets market is expected to register a CAGR of 35.0% during the forecast period (2021 - 2026). Various factors, such as an increase in the demand for autonomous driving, edge analytics, and smart appliances in the consumer electronics industry, are anticipated to fuel the market growth.

  • The rapidly increasing growth of machine learning in multiple sectors, such as automotive, finance, and retail, is boosting the adoption of AI technology. The most popular application of AI chipsets in the automotive industry involves the manufacture of the driverless car to achieve the L5 level of autonomous technology.
  • The increase in social media and e-commerce penetration is resulting in the generation of large volumes of data. For instance, e-commerce users in India generate over 30-40 TB (Terabytes) of data daily, which is equivalent to the content in 50 lakh Yellow Pages books. The need to process such huge data at a faster rate is driving the market.
  • The ability of machine learning to collect and handle big data, and its various applications in the autonomous robots, real-time speech translation, and facial analysis are also driving its growth in the market, and as AI constitutes multiple technologies that play a very crucial role in the development of the ecosystem, it is also expected to witness high demand.
  • Moreover, as AI enables the machines to perform various activities that are similar to those performed by human beings, many opportunities are expected to open up in the future. Moreover, the increasing focus on developing human-aware AI systems is also increasing the growth of the market. However, the lack of a skilled workforce and the absence of standards and protocols are restraining the growth of the market.

Key Market Trends

Consumer Electronics is Expected to Witness Significant Growth

  • The increasing trend of artificial intelligence in smart consumer devices is anticipated to drive the market for AI chipsets. The incapability of traditional computing methods to process big data has driven the need for high-performance computing and several R&D programs in the semiconductor domain.
  • A high-speed computing processor enables machine learning, which consists of deep learning, reinforcement learning supervised, and unsupervised learning. These machine learning devices are equipped with AI processing chipsets and are expected to drive AI chipsets demand in the coming years.
  • The consumer electronics segment is also expected to hold a significant share in the artificial intelligence chipset market during the forecast period. This industry witnesses a large demand for various electronic devices, such as tablets and smartphones. The major key vendors in the industry, such as Samsung, is implementing AI technologies primarily to enhance and offer highly customized products.
  • Conventional consumer electronics products, such as smartphones, computers, TVs, cameras, speakers to the voice-enabled devices, smart TVs, and smart wearables, are rapidly gaining traction in the market. By the adoption of AI technology, the industry is expected to see a stellar growth during the forecast period.

Asia-Pacific is Expected to Witness Significant Growth

  • The Asia-Pacific region is expected to witness significant growth during the forecast period, primarily owing to the rapidly increasing adoption of AI across multiple end-user industries, such as consumer electronics, healthcare, automotive, robotics, and automation industries, that may contribute toward the demand for AI chipsets.
  • The application of AI chipset in consumer electronics, such as smartphones, tablets, and laptops, involves the integration of voice commands, enhancement of photography experience, gathering and sorting relevant data based on past searches, etc., which has resulted in the high adoption of AI chipsets.
  • The region has a major presence of smartphone manufacturers and semiconductor industries in the world. Countries, like China, Japan, Taiwan, and South Korea, comprise most of the major smartphone manufacturers. The increasing population resulted in an increase in the usage of smartphones, which is expected to result in the growth of the market.

Competitive Landscape

Though the market has been influenced by the presence of some small and big global players, the global market for AI chipsets is anticipated to be moderately concentrated. The industry for AI-powered chipsets is still in the initial phase to gain market traction. Advanced Micro Devices Inc. (AMD), Amazon Web Services, Inc., Graphcore Ltd, and Huawei Technologies Co. Ltd are some of the major players present in the current market. All these players are involved in competitive strategic developments, such as partnerships, new product innovation, and market expansion, to gain leadership positions in the global AI chipsets market.

  • July 2019 - Intel Corporation and Baidu Research collaborated to augment Intel's upcoming AI chip "Nervana Neural Network Processor". This collaboration is expected to enhance AI-powered chips in the global market.
  • April 2019 - Qualcomm collaborated with Vivo, Tencent Honor of Kings, and Tencent AI Lab, to augment artificial intelligence capability on mobile and other smart devices. With its advanced 'Project Imagination' 4G AI technology, Qualcomm is anticipated to enhance the user experience in mobile-based game apps through AI-powered chips.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increase in Demand for Autonomous Driving Technology
    • 4.2.2 Growth in Edge Analytics for IoT Application
  • 4.3 Market Restraints
    • 4.3.1 Complexity in Design and AI Interface
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 Component
    • 5.1.1 Central Processing Unit (CPU)
    • 5.1.2 Graphics Processing Unit (GPU)
    • 5.1.3 Neural Network Processor (NNP)
    • 5.1.4 Other Components
  • 5.2 Application
    • 5.2.1 Consumer Electronics
    • 5.2.2 Automotive
    • 5.2.3 Healthcare
    • 5.2.4 Automation and Robotics
    • 5.2.5 Other Applications
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia-Pacific
    • 5.3.4 Rest of the World (RoW)

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Advanced Micro Devices Inc. (AMD)
    • 6.1.2 Amazon Web Services Inc.
    • 6.1.3 Xilinx Inc.
    • 6.1.4 Graphcore Ltd
    • 6.1.5 Huawei Technologies Co. Ltd
    • 6.1.6 IBM Corporation
    • 6.1.7 Intel Corporation
    • 6.1.8 NVIDIA Corporation
    • 6.1.9 Qualcomm Inc.
    • 6.1.10 Samsung Semiconductor (Samsung Electronics Co. Ltd)
  • 6.2 Investment Analysis

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

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