AI 硬体市场规模、份额和成长分析：按产品、按硬体类型、按应用、按最终用户、按地区 - 行业预测，2024-2031 年

2022年人工智慧硬体市场规模为133亿美元，从2023年的235亿美元成长到2031年的849亿美元，预测期间（2024-2031年）复合年增长率为15.5%。

受技术进步、不断变化的消费者需求、监管因素和竞争进步的影响，人工智慧硬体市场正在经历重大变革。 AI硬体解决方案的发展主要是由技术突破推动的，特别是随着半导体产业中GPU（图形处理单元）和TPU（张量处理单元）等专用AI晶片的推出，我们正在提高AI硬体解决方案的效率和效能。人工智慧硬体技术的成长是由技术进步和智慧型设备的普及推动的，人工智慧晶片组在从智慧型手机到工业机器人的应用中发挥关键作用。深度学习和机器学习技术的进步进一步刺激了市场，需要快速的人工智慧晶片组来进行即时资料处理和决策。该研究预测人工智慧相关半导体的年增长率将显着增长，描绘出新兴厂商为特定用例提供专门的人工智慧硬体解决方案的竞争格局，而监管方面的考虑和地缘政治因素则持续增长，影响着市场动态和创新。由于贸易政策可能影响人工智慧硬体产品的全球供应链和市场动态，确保人工智慧技术的安全、完整性和道德使用的监管合规对于人工智慧硬体製造商至关重要。

目录

介绍

• 这项研究的目的
• 定义
• 市场范围

调查方法

• 资讯采购
• 二手资料来源和主要资料来源
• 市场规模预测
• 市场假设与限制

执行摘要

• 市场概况展望
• 供需趋势分析
• 按细分市场的机会分析

市场动态及展望

• 市场动态
  • 促进因素
  • 机会
  • 抑制因素
  • 任务
• 波特的分析

主要市场考察

• 技术分析
• 专利分析
• 市场生态系统
• Start-Ups分析
• 市场吸引力指数
• 监管环境
• 创新矩阵
• 主要投资分析
• 关键成功因素
• 竞争程度

人工智慧硬体市场：依产品分类

• 市场概况
• 声音处理器
• 视觉处理器
• 内建声音处理单元
• 嵌入式视觉处理单元

人工智慧硬体市场：按硬体类型

• 市场概况
• 处理器
  • CPU
  • GPU
  • TPU
  • FPGA
• 记忆
  • DRAM
  • SRAM
  • NVM
• 贮存
  • HDD
  • SSD
• 联网
  • 网路介面卡
  • 转变

人工智慧硬体市场：按应用分类

• 市场概况
• 机器学习
• 深度学习
• 电脑视觉
• 自然语言处理
• 其他的

人工智慧硬体市场：按最终用户分类

• 市场概况
• BFSI
• 资讯科技/通讯
• 零售
• 製造业
• 卫生保健
• 其他的

人工智慧硬体市场：按地区

• 市场概况
• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲 (MEA)
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲地区

竞争格局

• 前5名企业对比
• 主要企业市场定位（2023年）
• 主要市场参与者所采取的策略
• 近期市集活动
• 主要企业市场占有率（2023年）

主要企业简介

• 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