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1578258

全球人工智慧基礎設施市場研究報告 - 2024 年至 2032 年產業分析、規模、佔有率、成長、趨勢和預測

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

出版日期: 2024年09月01日 | 出版商:

Value Market Research | 英文 231 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球人工智慧基礎設施市場需求預計將從2023年的580.5億美元達到2032年近5,643億美元的市場規模，2024-2032年研究期間複合年成長率為28.75%。

人工智慧基礎設施是指將人工智慧演算法以穩定、可擴展和可靠的方式投入生產所需的技術堆疊。它表示一個系統可以自行學習各個組件之間的關係，識別資料模式和上下文，並做出相應的反應和功能。 AI基礎設施包括網路、資料體、軟體等多個元素。

市場動態

全球人工智慧基礎設施市場預計在預測期內將以兩位數的速度成長。雲端機器學習平台的日益採用、不斷成長的資料流量和對高運算的需求、不斷增加的大型複雜資料集以及越來越多的跨行業合作是引導人工智慧基礎設施市場的關鍵因素。近年來，人工智慧憑藉其無與倫比的效率和高生產力的成果，已成為 IT 不可分割的一部分。隨著人工智慧能力的迅速發展，全球人工智慧基礎設施市場預計將呈指數級成長，而基礎設施對於從實驗到實施的規模至關重要。然而，人工智慧是一個複雜的系統。它需要專家和熟練的勞動力來開發、管理和實施人工智慧系統。缺乏人工智慧專家和熟練的勞動力可能會阻礙市場的成長。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球人工智慧基礎設施市場的各個細分市場進行了包容性評估。人工智慧基礎設施產業的成長和趨勢為本研究提供了整體方法。

市場區隔

人工智慧基礎設施市場報告的這一部分提供了國家和地區層面細分市場的詳細資料，從而幫助戰略家確定相應產品或服務的目標人群以及即將到來的機會。

按最終用戶

私人企業
雲端解決方案供應商
政府機構

按組件

硬體
軟體

按部署模式

本地部署
雲

區域分析

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲的全球人工智慧基礎設施市場報告市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。人工智慧基礎設施市場的主要參與者包括美光科技、Advanced Micro Devices、三星電子、亞馬遜網路服務、思科系統、NVIDIA 公司、Google有限責任公司、微軟公司、IBM 公司、英特爾公司、賽靈思。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 9 章：人工智慧基礎設施公司的競爭格局

人工智慧基礎設施市場競爭
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 10 章：公司簡介

頂級公司市佔率分析
市場集中度
Micron Technology

公司概況
公司收入
產品
最新動態

Advanced Micro Devices

公司概況
公司收入
產品
最新動態

Samsung Electronics

公司概況
公司收入
產品
最新動態

Amazon Web Services

公司概況
公司收入
產品
最新動態

CISCO System

公司概況
公司收入
產品
最新動態

NVIDIA Corporation

公司概況
公司收入
產品
最新動態

Google LLC

公司概況
公司收入
產品
最新動態

Microsoft Corporation

公司概況
公司收入
產品
最新動態

IBM Corporation

公司概況
公司收入
產品
最新動態

Intel Corporation

公司概況
公司收入
產品
最新動態

Xilinx

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

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.

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