封面
市场调查报告书
商品编码
1578258

全球人工智慧基础设施市场研究报告 - 2024 年至 2032 年产业分析、规模、份额、成长、趋势和预测

Global AI Infrastructure Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: | 出版商: Value Market Research | 英文 231 Pages | 商品交期: 最快1-2个工作天内

价格

全球人工智慧基础设施市场需求预计将从2023年的580.5亿美元达到2032年近5,643亿美元的市场规模,2024-2032年研究期间复合年增长率为28.75%。

人工智慧基础设施是指将人工智慧演算法以稳定、可扩展和可靠的方式投入生产所需的技术堆迭。它表示一个系统可以自行学习各个组件之间的关係,识别资料模式和上下文,并做出相应的反应和功能。 AI基础设施包括网路、资料体、软体等多个元素。

市场动态

全球人工智慧基础设施市场预计在预测期内将以两位数的速度成长。云端机器学习平台的日益采用、不断增长的资料流量和对高运算的需求、不断增加的大型复杂数据集以及越来越多的跨行业合作是引导人工智慧基础设施市场的关键因素。近年来,人工智慧凭藉其无与伦比的效率和高生产力的成果,已成为 IT 不可分割的一部分。随着人工智慧能力的迅速发展,全球人工智慧基础设施市场预计将呈指数级增长,而基础设施对于从实验到实施的规模至关重要。然而,人工智慧是一个复杂的系统。它需要专家和熟练的劳动力来开发、管理和实施人工智慧系统。缺乏人工智慧专家和熟练的劳动力可能会阻碍市场的成长。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外,这些工具也对全球人工智慧基础设施市场的各个细分市场进行了包容性评估。人工智慧基础设施产业的成长和趋势为本研究提供了整体方法。

市场区隔

人工智慧基础设施市场报告的这一部分提供了国家和地区层面细分市场的详细资料,从而帮助战略家确定相应产品或服务的目标人群以及即将到来的机会。

按最终用户

  • 私人企业
  • 云端解决方案供应商
  • 政府机构

按组件

  • 硬体
  • 软体

按部署模式

  • 本地部署

区域分析

本节涵盖区域前景,重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲的全球人工智慧基础设施市场报告市场当前和未来的需求。此外,该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。人工智慧基础设施市场的主要参与者包括美光科技、Advanced Micro Devices、三星电子、亚马逊网路服务、思科系统、NVIDIA 公司、Google有限责任公司、微软公司、IBM 公司、英特尔公司、赛灵思。本节包含竞争格局的整体视图,包括各种策略发展,例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。

如果您有任何客製化要求,请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

目录

第一章:前言

  • 报告说明
    • 客观的
    • 目标受众
    • 独特的销售主张 (USP) 和产品
  • 研究范围
  • 研究方法
    • 市场研究过程
    • 市场研究方法论

第 2 章:执行摘要

  • 市集亮点
  • 全球市场概况

第 3 章:人工智慧基础设施 - 产业分析

  • 简介 - 市场动态
  • 市场驱动因素
  • 市场限制
  • 机会
  • 产业动态
  • 波特五力分析
  • 市场吸引力分析
    • 最终用户的市场吸引力分析
    • 按组件分類的市场吸引力分析
    • 按部署模式分類的市场吸引力分析
    • 市场吸引力分析:按地区

第 4 章:价值链分析

  • 价值链分析
  • 原料分析
    • 原料清单
    • 原料厂商清单
    • 主要原物料价格走势
  • 潜在买家名单
  • 行销管道
    • 直效行销
    • 间接行销
    • 行销通路发展趋势

第 5 章:全球人工智慧基础设施市场分析:按最终用户分类

  • 最终用户概述
  • 最终用户的历史和预测数据分析
  • 私人企业
  • 云端解决方案供应商
  • 政府机构

第 6 章:全球人工智慧基础设施市场分析:按组成部分

  • 按组件概述
  • 按组成部分的历史和预测资料分析
  • 硬体
  • 软体

第 7 章:全球人工智慧基础设施市场分析:按部署模式

  • 依部署模式概述
  • 依部署模式进行历史和预测资料分析
  • 本地部署

第 8 章:全球人工智慧基础设施市场分析:按地理位置

  • 区域展望
  • 介绍
  • 北美销售分析
    • 概览、历史与预测资料销售分析
    • 北美按细分市场销售分析
    • 北美按国家销售分析
    • 美国销售分析
    • 加拿大销售分析
    • 墨西哥销售分析
  • 欧洲销售分析
    • 概览、历史与预测资料销售分析
    • 欧洲按细分市场销售分析
    • 欧洲按国家销售分析
    • 英国销售分析
    • 法国销售分析
    • 德国销售分析
    • 义大利销售分析
    • 俄罗斯销售分析
    • 欧洲其他地区销售分析
  • 亚太地区销售分析
    • 概览、历史与预测资料销售分析
    • 亚太地区按细分市场销售分析
    • 亚太地区按国家销售分析
    • 中国销售分析
    • 印度销售分析
    • 日本销售分析
    • 韩国销售分析
    • 澳洲销售分析
    • 东南亚销售分析
    • 亚太地区其他地区销售分析
  • 拉丁美洲销售分析
    • 概览、历史与预测资料销售分析
    • 拉丁美洲按细分市场销售分析
    • 拉丁美洲按国家销售分析
    • 巴西销售分析
    • 阿根廷销售分析
    • 秘鲁销售分析
    • 智利销售分析
    • 拉丁美洲其他地区销售分析
  • 中东和非洲销售分析
    • 概览、历史与预测资料销售分析
    • 中东和非洲按细分市场销售分析
    • 中东和非洲按国家销售分析
    • 沙乌地阿拉伯销售分析
    • 阿联酋销售分析
    • 以色列销售分析
    • 南非销售分析
    • 中东其他地区和非洲销售分析

第 9 章:人工智慧基础设施公司的竞争格局

  • 人工智慧基础设施市场竞争
  • 伙伴关係/协作/协议
  • 併购
  • 新产品发布
  • 其他发展

第 10 章:公司简介

  • 顶级公司市占率分析
  • 市场集中度
  • Micron Technology
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Advanced Micro Devices
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Samsung Electronics
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Amazon Web Services
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • CISCO System
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • NVIDIA Corporation
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Google LLC
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Microsoft Corporation
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • IBM Corporation
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Intel Corporation
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态
  • Xilinx
    • 公司概况
    • 公司收入
    • 产品
    • 最新动态

註 - 在公司概况中,财务详细资讯和最新发展视情况而定,或对私人公司而言可能不包括在内

Product Code: VMR11215655

The global demand for AI Infrastructure Market is presumed to reach the market size of nearly USD 564.3 Billion by 2032 from USD 58.05 Billion in 2023 with a CAGR of 28.75% under the study period 2024-2032.

AI infrastructure refers to a technology stack necessary to get AI algorithms into production in a stable, scalable, and reliable way. It denotes a system that can learn by itself the relationships between the various components, recognize data patterns and the context, and react and function accordingly. AI infrastructure includes multiple elements like the network, the hardware, the software, etc. It enables data engineers, software engineers, data scientists, and DevOps teams to access and cope with computing resources to test, train, and deploy AI algorithms.

MARKET DYNAMICS

The global AI infrastructure market is projected to grow at a double-digit rate during the forecast period. Increasing adoption of cloud machine learning platforms, growing data traffic and need for high computing, rising large and complex dataset, and a growing number of cross-industry collaborations are the key factors steering the AI infrastructure market. AI in recent times has become an inextricable part of IT due to its unparalleled efficiency and highly productive results. The global AI infrastructure market is estimated to grow exponentially as AI capabilities rapidly evolve, and infrastructure is vital to scale from experimentation to implementation. However, AI is a complex system. It requires experts and a skilled workforce for developing, managing, and implementing AI systems. Lack of AI experts and a skilled workforce is likely to hinder the market growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI Infrastructure. The growth and trends of AI Infrastructure industry provide a holistic approach to this study.

Market Segmentation

This section of the AI Infrastructure market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By End-User

  • Private Enterprises
  • Cloud Solution Providers
  • Government Firms

By Component

  • Hardware
  • Software

By Deployment Mode

  • On-Premise
  • Cloud

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Global AI Infrastructure Market Report market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI Infrastructure market include Micron Technology, Advanced Micro Devices, Samsung Electronics, Amazon Web Services, CISCO System, NVIDIA Corporation, Google LLC, Microsoft Corporation, IBM Corporation, Intel Corporation, Xilinx. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1. PREFACE

  • 1.1. Report Description
    • 1.1.1 Objective
    • 1.1.2 Target Audience
    • 1.1.3 Unique Selling Proposition (USP) & offerings
  • 1.2. Research Scope
  • 1.3. Research Methodology
    • 1.3.1 Market Research Process
    • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

  • 2.1. Highlights of Market
  • 2.2. Global Market Snapshot

3. AI INFRASTRUCTURE - INDUSTRY ANALYSIS

  • 3.1. Introduction - Market Dynamics
  • 3.2. Market Drivers
  • 3.3. Market Restraints
  • 3.4. Opportunities
  • 3.5. Industry Trends
  • 3.6. Porter's Five Force Analysis
  • 3.7. Market Attractiveness Analysis
    • 3.7.1 Market Attractiveness Analysis By End-User
    • 3.7.2 Market Attractiveness Analysis By Component
    • 3.7.3 Market Attractiveness Analysis By Deployment Mode
    • 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

  • 4.1. Value Chain Analysis
  • 4.2. Raw Material Analysis
    • 4.2.1 List of Raw Materials
    • 4.2.2 Raw Material Manufactures List
    • 4.2.3 Price Trend of Key Raw Materials
  • 4.3. List of Potential Buyers
  • 4.4. Marketing Channel
    • 4.4.1 Direct Marketing
    • 4.4.2 Indirect Marketing
    • 4.4.3 Marketing Channel Development Trend

5. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY END-USER

  • 5.1. Overview By End-User
  • 5.2. Historical and Forecast Data Analysis By End-User
  • 5.3. Private Enterprises Historic and Forecast Sales By Regions
  • 5.4. Cloud Solution Providers Historic and Forecast Sales By Regions
  • 5.5. Government Firms Historic and Forecast Sales By Regions

6. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY COMPONENT

  • 6.1. Overview By Component
  • 6.2. Historical and Forecast Data Analysis By Component
  • 6.3. Hardware Historic and Forecast Sales By Regions
  • 6.4. Software Historic and Forecast Sales By Regions

7. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY DEPLOYMENT MODE

  • 7.1. Overview By Deployment Mode
  • 7.2. Historical and Forecast Data Analysis By Deployment Mode
  • 7.3. On-Premise Historic and Forecast Sales By Regions
  • 7.4. Cloud Historic and Forecast Sales By Regions

8. GLOBAL AI INFRASTRUCTURE MARKET ANALYSIS BY GEOGRAPHY

  • 8.1. Regional Outlook
  • 8.2. Introduction
  • 8.3. North America Sales Analysis
    • 8.3.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.3.2 North America By Segment Sales Analysis
    • 8.3.3 North America By Country Sales Analysis
    • 8.3.4 United States Sales Analysis
    • 8.3.5 Canada Sales Analysis
    • 8.3.6 Mexico Sales Analysis
  • 8.4. Europe Sales Analysis
    • 8.4.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.4.2 Europe By Segment Sales Analysis
    • 8.4.3 Europe By Country Sales Analysis
    • 8.4.4 United Kingdom Sales Analysis
    • 8.4.5 France Sales Analysis
    • 8.4.6 Germany Sales Analysis
    • 8.4.7 Italy Sales Analysis
    • 8.4.8 Russia Sales Analysis
    • 8.4.9 Rest Of Europe Sales Analysis
  • 8.5. Asia Pacific Sales Analysis
    • 8.5.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.5.2 Asia Pacific By Segment Sales Analysis
    • 8.5.3 Asia Pacific By Country Sales Analysis
    • 8.5.4 China Sales Analysis
    • 8.5.5 India Sales Analysis
    • 8.5.6 Japan Sales Analysis
    • 8.5.7 South Korea Sales Analysis
    • 8.5.8 Australia Sales Analysis
    • 8.5.9 South East Asia Sales Analysis
    • 8.5.10 Rest Of Asia Pacific Sales Analysis
  • 8.6. Latin America Sales Analysis
    • 8.6.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.6.2 Latin America By Segment Sales Analysis
    • 8.6.3 Latin America By Country Sales Analysis
    • 8.6.4 Brazil Sales Analysis
    • 8.6.5 Argentina Sales Analysis
    • 8.6.6 Peru Sales Analysis
    • 8.6.7 Chile Sales Analysis
    • 8.6.8 Rest of Latin America Sales Analysis
  • 8.7. Middle East & Africa Sales Analysis
    • 8.7.1 Overview, Historic and Forecast Data Sales Analysis
    • 8.7.2 Middle East & Africa By Segment Sales Analysis
    • 8.7.3 Middle East & Africa By Country Sales Analysis
    • 8.7.4 Saudi Arabia Sales Analysis
    • 8.7.5 UAE Sales Analysis
    • 8.7.6 Israel Sales Analysis
    • 8.7.7 South Africa Sales Analysis
    • 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE AI INFRASTRUCTURE COMPANIES

  • 9.1. AI Infrastructure Market Competition
  • 9.2. Partnership/Collaboration/Agreement
  • 9.3. Merger And Acquisitions
  • 9.4. New Product Launch
  • 9.5. Other Developments

10. COMPANY PROFILES OF AI INFRASTRUCTURE INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Market Concentration Rate
  • 10.3. Micron Technology
    • 10.3.1 Company Overview
    • 10.3.2 Company Revenue
    • 10.3.3 Products
    • 10.3.4 Recent Developments
  • 10.4. Advanced Micro Devices
    • 10.4.1 Company Overview
    • 10.4.2 Company Revenue
    • 10.4.3 Products
    • 10.4.4 Recent Developments
  • 10.5. Samsung Electronics
    • 10.5.1 Company Overview
    • 10.5.2 Company Revenue
    • 10.5.3 Products
    • 10.5.4 Recent Developments
  • 10.6. Amazon Web Services
    • 10.6.1 Company Overview
    • 10.6.2 Company Revenue
    • 10.6.3 Products
    • 10.6.4 Recent Developments
  • 10.7. CISCO System
    • 10.7.1 Company Overview
    • 10.7.2 Company Revenue
    • 10.7.3 Products
    • 10.7.4 Recent Developments
  • 10.8. NVIDIA Corporation
    • 10.8.1 Company Overview
    • 10.8.2 Company Revenue
    • 10.8.3 Products
    • 10.8.4 Recent Developments
  • 10.9. Google LLC
    • 10.9.1 Company Overview
    • 10.9.2 Company Revenue
    • 10.9.3 Products
    • 10.9.4 Recent Developments
  • 10.10. Microsoft Corporation
    • 10.10.1 Company Overview
    • 10.10.2 Company Revenue
    • 10.10.3 Products
    • 10.10.4 Recent Developments
  • 10.11. IBM Corporation
    • 10.11.1 Company Overview
    • 10.11.2 Company Revenue
    • 10.11.3 Products
    • 10.11.4 Recent Developments
  • 10.12. Intel Corporation
    • 10.12.1 Company Overview
    • 10.12.2 Company Revenue
    • 10.12.3 Products
    • 10.12.4 Recent Developments
  • 10.13. Xilinx
    • 10.13.1 Company Overview
    • 10.13.2 Company Revenue
    • 10.13.3 Products
    • 10.13.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies

LIST OF TABLES

  • Market Snapshot
  • Drivers: Impact Analysis
  • Restraints: Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • Analysis By End-User (Units and USD MN)
  • Private Enterprises Market Sales By Geography (Units and USD MN)
  • Cloud Solution Providers Market Sales By Geography (Units and USD MN)
  • Government Firms Market Sales By Geography (Units and USD MN)
  • Analysis By Component (Units and USD MN)
  • Hardware Market Sales By Geography (Units and USD MN)
  • Software Market Sales By Geography (Units and USD MN)
  • Analysis By Deployment Mode (Units and USD MN)
  • On-Premise Market Sales By Geography (Units and USD MN)
  • Cloud Market Sales By Geography (Units and USD MN)
  • Global AI Infrastructure Market Sales By Geography (Units and USD MN)
  • North America Market Analysis (Units and USD MN)
  • United States Market Analysis (Units and USD MN)
  • Canada Market Analysis (Units and USD MN)
  • Mexico Market Analysis (Units and USD MN)
  • Europe Market Analysis (Units and USD MN)
  • Europe Market Estimate By Country (Units and USD MN)
  • United Kingdom Market Analysis (Units and USD MN)
  • France Market Analysis (Units and USD MN)
  • Germany Market Analysis (Units and USD MN)
  • Italy Market Analysis (Units and USD MN)
  • Russia Market Analysis (Units and USD MN)
  • Spain Market Analysis (Units and USD MN)
  • Rest of Europe Market Analysis (Units and USD MN)
  • Asia Pacific Market Analysis (Units and USD MN)
  • China Market Analysis (Units and USD MN)
  • Japan Market Analysis (Units and USD MN)
  • India Market Analysis (Units and USD MN)
  • South Korea Market Analysis (Units and USD MN)
  • Australia Market Analysis (Units and USD MN)
  • South East Asia Market Analysis (Units and USD MN)
  • Rest of Asia Pacific Market Analysis (Units and USD MN)
  • Latin America Market Analysis (Units and USD MN)
  • Brazil Market Analysis (Units and USD MN)
  • Argentina Market Analysis (Units and USD MN)
  • Peru Market Analysis (Units and USD MN)
  • Chile Market Analysis (Units and USD MN)
  • Rest of Latin America Market Analysis (Units and USD MN)
  • Middle East & Africa Market Analysis (Units and USD MN)
  • Saudi Arabia Market Analysis (Units and USD MN)
  • UAE Market Analysis (Units and USD MN)
  • Israel Market Analysis (Units and USD MN)
  • South Africa Market Analysis (Units and USD MN)
  • Rest of Middle East and Africa Market Analysis (Units and USD MN)
  • Partnership/Collaboration/Agreement
  • Mergers And Acquisition

LIST OF FIGURES

  • Research Scope of AI Infrastructure Report
  • Market Research Process
  • Market Research Methodology
  • Global AI Infrastructure Market Size, By Region (Units and USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis By End-User
  • Market Attractiveness Analysis By Component
  • Market Attractiveness Analysis By Deployment Mode
  • Market Attractiveness Analysis By Region
  • Value Chain Analysis
  • Global Market Analysis By End-User (Units and USD MN)
  • Private Enterprises Market Sales By Geography (Units and USD MN)
  • Cloud Solution Providers Market Sales By Geography (Units and USD MN)
  • Government Firms Market Sales By Geography (Units and USD MN)
  • Global Market Analysis By Component (Units and USD MN)
  • Hardware Market Sales By Geography (Units and USD MN)
  • Software Market Sales By Geography (Units and USD MN)
  • Global Market Analysis By Deployment Mode (Units and USD MN)
  • On-Premise Market Sales By Geography (Units and USD MN)
  • Cloud Market Sales By Geography (Units and USD MN)
  • Global Market Sales (Units and USD MN)
  • North America Market Sales (Units and USD MN)
  • Europe Market Sales (Units and USD MN)
  • Asia Pacific Market Sales (Units and USD MN)
  • Latin America Market Sales (Units and USD MN)
  • Middle East & Africa Market Sales (Units and USD MN)
  • Recent Development in Industry
  • Top Company Market Share Analysis

Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.