AI 硬體市場規模、佔有率和成長分析：按產品、按硬體類型、按應用、按最終用戶、按地區 - 行業預測，2024-2031 年

2022年人工智慧硬體市場規模為133億美元，從2023年的235億美元成長到2031年的849億美元，預測期間（2024-2031年）複合年成長率為15.5%。

受技術進步、不斷變化的消費者需求、監管因素和競爭進步的影響，人工智慧硬體市場正在經歷重大變革。 AI硬體解決方案的發展主要是由技術突破推動的，特別是隨著半導體產業中GPU（圖形處理單元）和TPU（張量處理單元）等專用AI晶片的推出，我們正在提高AI硬體解決方案的效率和效能。人工智慧硬體技術的成長是由技術進步和智慧型設備的普及推動的，人工智慧晶片組在從智慧型手機到工業機器人的應用中發揮關鍵作用。深度學習和機器學習技術的進步進一步刺激了市場，需要快速的人工智慧晶片組來進行即時資料處理和決策。該研究預測人工智慧相關半導體的年成長率將顯著成長，描繪出新興廠商為特定用例提供專門的人工智慧硬體解決方案的競爭格局，而監管方面的考慮和地緣政治因素則持續成長，影響著市場動態和創新。由於貿易政策可能影響人工智慧硬體產品的全球供應鏈和市場動態，確保人工智慧技術的安全、完整性和道德使用的監管合規對於人工智慧硬體製造商至關重要。

目錄

介紹

• 這項研究的目的
• 定義
• 市場範圍

調查方法

• 資訊採購
• 二手資料來源和主要資料來源
• 市場規模預測
• 市場假設與限制

執行摘要

• 市場概況展望
• 供需趨勢分析
• 按細分市場的機會分析

市場動態及展望

• 市場動態
  • 促進因素
  • 機會
  • 抑制因素
  • 任務
• 波特的分析

主要市場考察

• 技術分析
• 專利分析
• 市場生態系統
• Start-Ups分析
• 市場吸引力指數
• 監管環境
• 創新矩陣
• 主要投資分析
• 關鍵成功因素
• 競爭程度

人工智慧硬體市場：依產品分類

• 市場概況
• 聲音處理器
• 視覺處理器
• 內建聲音處理單元
• 嵌入式視覺處理單元

人工智慧硬體市場：按硬體類型

• 市場概況
• 處理器
  • CPU
  • GPU
  • TPU
  • FPGA
• 記憶
  • DRAM
  • SRAM
  • NVM
• 貯存
  • HDD
  • SSD
• 聯網
  • 網路介面卡
  • 轉變

人工智慧硬體市場：按應用分類

• 市場概況
• 機器學習
• 深度學習
• 電腦視覺
• 自然語言處理
• 其他

人工智慧硬體市場：按最終用戶分類

• 市場概況
• BFSI
• 資訊科技/通訊
• 零售
• 製造業
• 衛生保健
• 其他

人工智慧硬體市場：按地區

• 市場概況
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲 (MEA)
  • 海灣合作理事會國家
  • 南非
  • 其他中東/非洲地區

競爭格局

• 前5名企業對比
• 主要企業市場定位（2023年）
• 主要市場參與者所採取的策略
• 近期市集活動
• 主要企業市場佔有率（2023年）

主要企業簡介

• 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）

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