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1504884

AIハードウェアの市場規模、シェア、成長分析:製品別、ハードウェアタイプ別、アプリケーション別、エンドユーザー別、地域別 - 産業予測、2024-2031年

Artificial Intelligence Hardware Market Size, Share, Growth Analysis, By Product, By Hardware Type(Processors ), By Application, By End-User, By Region - Industry Forecast 2024-2031

出版日: | 発行: SkyQuest | ページ情報: 英文 197 Pages | 納期: 3~5営業日

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本日の銀行送金レート: 1USD=149.25円
AIハードウェアの市場規模、シェア、成長分析:製品別、ハードウェアタイプ別、アプリケーション別、エンドユーザー別、地域別 - 産業予測、2024-2031年
出版日: 2024年06月22日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

AIハードウェアの市場規模は2022年に133億米ドルと評価され、2023年の235億米ドルから2031年には849億米ドルに成長し、予測期間(2024-2031年)のCAGRは15.5%で成長する見通しです。

AIハードウェア市場は、技術の進歩、消費者の要求の進化、規制要因、競合の進歩の影響を受け、大きな変革を経験しています。AIハードウェアソリューションの進化は、特に半導体産業におけるGPU(Graphics Processing Unit)やTPU(Tensor Processing Unit)のような特殊化されたAIチップの導入による技術的ブレークスルーが主な原動力となっており、AIシステムの効率と性能を高め、市場拡大を推進しています。AIハードウェア技術の成長は、スマートフォンから産業用ロボットに至るまで、さまざまなアプリケーションでAIチップセットが極めて重要な役割を果たしており、技術の進歩とスマートデバイスの普及が原動力となっています。市場は、ディープラーニングと機械学習技術の進歩によってさらに刺激され、リアルタイムのデータ処理と意思決定のために迅速なAIチップセットが必要とされています。本調査では、AI関連半導体の大幅な年間成長率を予測しており、新興プレーヤーが特定のユースケースに合わせて特化したAIハードウェアソリューションを提供する競合情勢を示している一方、規制への配慮や地政学的要因が市場のダイナミクスやイノベーションに影響を与えています。貿易政策がAIハードウェア製品の世界サプライチェーンと市場ダイナミクスに潜在的な影響を与える中、AIハードウェアメーカーにとって、AI技術の安全性、完全性、倫理的使用を確保するための規制遵守は極めて重要です。

目次

イントロダクション

  • 調査の目的
  • 定義
  • 市場範囲

調査手法

  • 情報調達
  • 二次データソースと一次データソース
  • 市場規模予測
  • 市場の想定と制限

エグゼクティブサマリー

  • 市場概要見通し
  • 供給需要動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場力学
    • 促進要因
    • 機会
    • 抑制要因
    • 課題
  • ポーターの分析

主な市場の考察

  • 技術分析
  • 特許分析
  • 市場のエコシステム
  • スタートアップ分析
  • 市場の魅力指数
  • 規制情勢
  • イノベーションマトリクス
  • 主な投資の分析
  • 主な成功要因
  • 競合の程度

AIハードウェア市場:製品別

  • 市場概要
  • サウンドプロセッサー
  • ビジョンプロセッサー
  • 組み込みサウンド処理ユニット
  • 組み込みビジョン処理ユニット

AIハードウェア市場:ハードウェアタイプ別

  • 市場概要
  • プロセッサー
    • CPU
    • GPU
    • TPU
    • FPGA
  • メモリ
    • DRAM
    • SRAM
    • NVM
  • ストレージ
    • HDD
    • SSD
  • ネットワーキング
    • ネットワークインターフェイスカード
    • スイッチ

AIハードウェア市場:アプリケーション別

  • 市場概要
  • 機械学習
  • ディープラーニング
  • コンピュータビジョン
  • 自然言語処理
  • その他

AIハードウェア市場:エンドユーザー別

  • 市場概要
  • BFSI
  • IT・通信
  • 小売
  • 製造
  • ヘルスケア
  • その他

AIハードウェア市場:地域別

  • 市場概要
  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ(MEA)
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ地域

競合情勢

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2023年)
  • 主な市場企業が採用した戦略
  • 市場における最近の活動
  • 主要企業の市場シェア(2023年)

主要企業プロファイル

  • NVIDIA Corporation(US)
  • Intel Corporation(US)
  • IBM Corporation(US)
  • Qualcomm Technologies, Inc.(US)
  • AMD(Advanced Micro Devices, Inc.)(US)
  • Google LLC(US)
  • Apple Inc.(US)
  • Microsoft Corporation(US)
  • Amazon Web Services, Inc.(AWS)(US)
  • Xilinx, Inc.(now part of AMD)(US)
  • ARM Holdings plc(UK)
  • Graphcore(UK)
  • Cerebras Systems(US)
  • Huawei Technologies Co., Ltd.(China)
  • Baidu, Inc.(China)
  • Alibaba Group Holding Limited(China)
  • Tencent Holdings Ltd.(China)
  • Samsung Electronics Co., Ltd.(South Korea)
  • Fujitsu Limited(Japan)
  • Mythic Inc.(US)
目次
Product Code: SQMIG45I2192

Artificial Intelligence (AI) in Hardware Market size was valued at USD 13.3 Billion in 2022 and is poised to grow from USD 23.5 Billion in 2023 to USD 84.9 Billion by 2031, growing at a CAGR of 15.5% in the forecast period (2024-2031).

Artificial Intelligence (AI) in the Hardware Market is experiencing significant transformations influenced by technological advancements, evolving consumer demands, regulatory factors, and competitive progressions. The evolution of AI hardware solutions is primarily driven by technological breakthroughs, notably in the semiconductor industry with the introduction of specialised AI chips like GPU (Graphics Processing Unit) and TPU (Tensor Processing Unit), enhancing the efficiency and performance of AI systems and propelling market expansion. The growth of AI Hardware technology is driven by technological advancements and the widespread adoption of smart devices, with AI chipsets playing a pivotal role in various applications from smartphones to industrial robots. The market is further stimulated by advancements in deep learning and machine learning technologies, necessitating rapid AI chipsets for real-time data processing and decision-making. The study forecasts a substantial annual growth rate for AI-related semiconductors, indicating a competitive landscape with emerging players offering specialized AI hardware solutions tailored to specific use cases, while regulatory considerations and geopolitical factors impact market dynamics and innovation. Compliance with regulations is crucial for AI hardware manufacturers to ensure AI technology's safety, integrity, and ethical use, amidst potential influences from trade policies on the global supply chain and market dynamics of AI hardware products.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) in Hardware market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence (AI) in Hardware Market Segmental Analysis

The Artificial Intelligence in Hardware Market is segmented into product, hardware type, application, end-user, and region. By product, it is segmented into Sound processor, Vision processor, Embedded sound processing unit, and Embedded vision processing unit. By hardware type, it is segmented into Processors (CPUs, GPUs, TPUs, FPGAs), Memory (DRAM, SRAM, NVM), Storage (HDDs, SSDs), and Networking (Network interface cards, switches). Machine learning is further bifurcated into Deep learning & Predictive analytics. By application, the market is segmented into Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Others. By end user, the market is segmented into BFSI, IT & Telecommunication, Retail, Manufacturing, Healthcare, and Others. By region, the market is segmented into North America, Asia Pacific, Europe, Latin America, and MEA.

Drivers of the Artificial Intelligence (AI) in Hardware Market

The continual evolution and progress of hardware technology are driving the expansion of the worldwide AI in Hardware Market. Breakthroughs in the semiconductor sector, like the creation of specialized AI chips such as GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), are amplifying the capabilities and efficiency of AI systems and applications, consequently facilitating market growth and broader adoption.

Restraints in the Artificial Intelligence (AI) in Hardware Market

A significant impediment facing Artificial Intelligence (AI) in Hardware Market is the substantial expenses linked to crafting and integrating AI systems. The advanced hardware elements essential for AI utilization frequently come with exorbitant costs, rendering them inaccessible to small enterprises and financially restricted entities. This economic barrier not only hampers the widespread adoption of AI technologies but also exacerbates the digital divide, limiting the competitive edge of organizations that lack the financial means to invest in cutting-edge hardware infrastructure essential for AI advancement.

Market Trends of the Artificial Intelligence (AI) in Hardware Market

The Hardware Market for Artificial Intelligence (AI) is undergoing significant shifts, shaping its growth trajectory with emerging trends. A prominent development is the surging demand for tailored AI hardware, catering to specific tasks and industry requirements. With AI's pervasive integration across sectors, the necessity for bespoke hardware intensifies, addressing diverse computing needs like natural language processing, computer vision, and autonomous driving. This trend fosters innovation among hardware producers, leading to evolving units. Additionally, the ascent of edge AI hardware solutions is notable, spurred by the expanding Internet of Things (IoT) landscape, aiming for real-time operations and computations at the network periphery. This emphasizes the industry's dynamic adaptation to technological advancements.

Table of Contents

Introduction

  • Objectives of the Study
  • Definitions
  • Market Scope

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Sources
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Market Overview Outlook
  • Supply Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Dynamics
    • Drivers
    • Opportunities
    • Restraints
    • Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of Substitute Products
    • Bargaining Power of Buyers
    • Threat of New Entrants
    • Bargaining Power of Suppliers

Key Market Insights

  • Technology Analysis
  • Patent Analysis
  • Ecosystem of the Market
  • Start-up Analysis
  • Market Attractiveness Index
  • Regulatory Landscape
  • Innovation Matrix
  • Top Investment Analysis
  • Key Success Factor
  • Degree of Competition

Artificial Intelligence (AI) Hardware Market by product

  • Market Overview
  • Sound processor
  • Vision processor
  • Embedded sound processing unit
  • Embedded vision processing unit

Artificial Intelligence (AI) Hardware Market by hardware type

  • Market Overview
  • Processors
    • CPUs
    • GPUs
    • TPUs
    • FPGAs
  • Memory
    • DRAM
    • SRAM
    • NVM
  • Storage
    • HDDs
    • SSDs
  • Networking
    • Network interface cards
    • switches

Artificial Intelligence (AI) Hardware Market by Application

  • Market Overview
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Others

Artificial Intelligence (AI) Hardware Market by End-Use

  • Market Overview
  • BFSI
  • IT & Telecomunication
  • Retail
  • Manufacturing
  • Healthcare
  • Others

Artificial Intelligence (AI) Hardware Market Size by Region

  • Market Overview
  • North America
    • USA
    • Canada
  • Europe
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC Countries
    • South Africa
    • Rest of MEA

Competitive Landscape

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Activities in the Market
  • Key Companies Market Share (%), 2023

Key Company Profiles

  • NVIDIA Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Qualcomm Technologies, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AMD (Advanced Micro Devices, Inc.) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Apple Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services, Inc. (AWS) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Xilinx, Inc. (now part of AMD) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ARM Holdings plc (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Graphcore (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cerebras Systems (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Huawei Technologies Co., Ltd. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Baidu, Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alibaba Group Holding Limited (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tencent Holdings Ltd. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Samsung Electronics Co., Ltd. (South Korea)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fujitsu Limited (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Mythic Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments