세계의 AI 데이터센터 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2025-2033년)

Global AI Data Center Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

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한글목차

세계의 AI 데이터센터 시장은 상당한 성장을 이루었으며, 시장 규모는 2024년 176억 3,000만 달러에서 2033년에는 1,725억 1,000만 달러로 급증할 것으로 예측되며, 예측 기간 동안 연평균 성장률(CAGR)은 28.84%로 견조한 증가세를 보일 것입니다.

AI 데이터센터 시장은 AI 학습 및 추론 워크로드를 지원하기 위한 고밀도 컴퓨팅 인프라에 대한 수요가 증가함에 따라 급성장세를 보이고 있습니다. 이 데이터센터는 집중적인 병렬 처리를 처리하기 위해 특수 하드웨어 가속기, 고급 냉각 시스템, 최적화된 전력 관리로 설계되었습니다. 앞으로의 혁신은 데이터 소스에 더 가까운 곳에서 데이터를 처리하여 지연시간과 대역폭 사용량을 줄이고, 실시간 분석과 의사결정을 가능하게 하는 엣지 AI 데이터센터에 초점을 맞출 것으로 보입니다.

또한, AI 기반 관리 소프트웨어의 통합으로 데이터센터 내 리소스 할당, 장애 감지, 에너지 효율성이 향상됩니다. 모듈형 및 컨테이너형 데이터센터 설계를 채택하여 확장성과 배포 속도를 향상시켰습니다. 지속가능성에 대한 노력은 재생에너지원과 첨단 열 관리 기술의 사용을 촉진하고 있습니다. AI 애플리케이션이 각 산업 분야에서 확산됨에 따라 AI 데이터센터 시장은 계속 진화하여 탄력성, 효율성, 확장성이 뛰어난 인프라 솔루션을 제공하게 될 것입니다.

목차

제1장 서문

제2장 주요 요약

• 시장 하이라이트
• 세계 시장 현황

제3장 AI 데이터센터 - 산업 분석

• 소개 : 시장 역학
• 시장 성장 촉진요인
• 시장 성장 억제요인
• 시장 기회
• 업계 동향
• Porter's Five Forces 분석
• 시장 매력 분석

제4장 밸류체인 분석

• 밸류체인 분석
• 원재료 분석
  • 원재료 리스트
  • 원재료 제조업체 리스트
  • 주요 원재료 가격 동향
• 잠재적 바이어 리스트
• 마케팅 채널
  • 직접 마케팅
  • 간접 마케팅
  • 마케팅 채널 발전 동향

제5장 AI 데이터센터 세계 시장 분석 : 구성요소별

• 구성요소별 개요
• 구성요소별, 과거·예측 데이터 분석
• 하드웨어
• 소프트웨어
• 서비스

제6장 AI 데이터센터 세계 시장 분석 : 데이터센터 유형별

• 데이터센터 유형별 개요
• 데이터센터 유형별, 과거·예측 데이터 분석
• 하이퍼스케일 데이터센터
• 엔터프라이즈 데이터센터
• 코로케이션 데이터센터
• 엣지 데이터센터
• 모듈러형·휴대형 데이터센터

제7장 AI 데이터센터 세계 시장 분석 : 전개별

• 전개별 개요
• 전개별, 과거·예측 데이터 분석
• 온프레미스
• 클라우드 기반
• 하이브리드

제8장 AI 데이터센터 세계 시장 분석 : AI 용도별

• 개요 AI 용도별
• AI 용도별, 과거·예측 데이터 분석
• AI 모델 트레이닝
• AI 모델 추론
• 빅데이터 분석
• 컴퓨터 비전 처리
• 자연어 처리(NLP)
• 자율 시스템 및 로보틱스
• 사이버 보안과 부정 감지

제9장 AI 데이터센터 세계 시장 분석 : 업계별

• 업계별 개요
• 업계별, 과거·예측 데이터 분석
• IT 및 통신
• BFSI
• 헬스케어
• 소매·E-Commerce
• 제조업
• 정부·방위
• 에너지 및 유틸리티
• 미디어 및 엔터테인먼트
• 자동차
• 기타

제10장 AI 데이터센터 세계 시장 분석 : 지역별

• 지역별 전망
• 소개
• 북미 매출 분석
  • 개요, 실적과 예측
  • 북미 : 부문별
  • 북미 국가별
  • 미국
  • 캐나다
  • 멕시코
• 유럽 매출 분석
  • 개요, 실적과 예측
  • 유럽 : 부문별
  • 유럽 국가별
  • 영국
  • 프랑스
  • 독일
  • 이탈리아
  • 러시아
  • 기타 유럽
• 아시아태평양 매출 분석
  • 개요, 실적과 예측
  • 아시아태평양 : 부문별
  • 아시아태평양 국가별
  • 중국
  • 인도
  • 일본
  • 한국
  • 호주
  • 동남아시아
  • 기타 아시아태평양
• 라틴아메리카 매출 분석
  • 개요, 실적과 예측
  • 라틴아메리카 : 부문별
  • 라틴아메리카 국가별
  • 브라질
  • 아르헨티나
  • 페루
  • 칠레
  • 기타 라틴아메리카
• 중동 및 아프리카 매출 분석
  • 개요, 실적과 예측
  • 중동 및 아프리카 : 부문별
  • 중동 및 아프리카 국가별 리스트
  • 사우디아라비아
  • 아랍에미리트
  • 이스라엘
  • 남아프리카공화국
  • 기타 중동 및 아프리카

제11장 AI 데이터센터 기업 경쟁 구도

• AI 데이터센터 시장 경쟁
• 제휴, 협력, 합의
• 인수합병
• 신제품 발표
• 기타 개발

제12장 기업 개요

• 상위 기업의 시장 점유율 분석
• 시장 집중도
• Microsoft Corporation
• NVIDIA Corporation
• Google LLC
• Intel Corporation
• Advanced Micro Devices Inc.
• Dell Technologies
• Cisco Systems Inc.
• Hewlett Packard Enterprise Development LP
• Arista Networks Inc.
• Juniper Networks Inc.
• Nutanix
• NetApp
• Amazon Web Services Inc.
• Hitachi Vantara LLC

KSM

영문 목차

영문목차

Global AI Data Center Market is poised for a significant growth, with market size projected to surge from USD 17.63 Billion in 2024 to USD 172.51 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 28.84% during the forecast period.

The AI data center market is poised for rapid growth as demand for high-density computing infrastructure escalates to support AI training and inference workloads. These data centers are designed with specialized hardware accelerators, advanced cooling systems, and optimized power management to handle intensive parallel processing. Future innovations will focus on edge AI data centers that reduce latency and bandwidth usage by processing data closer to the source, enabling real-time analytics and decision-making.

Additionally, the integration of AI-driven management software is enhancing resource allocation, fault detection, and energy efficiency within data centers. The adoption of modular and containerized data center designs is improving scalability and deployment speed. Sustainability initiatives are driving the use of renewable energy sources and advanced thermal management technologies. As AI applications proliferate across industries, the AI data center market will continue to evolve, delivering resilient, efficient, and scalable infrastructure solutions.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

LIST OF SEGMENTS COVERED

This section of the Ai Data Center 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 Component

• Hardware
• Software
• Services

By Data Center Type

• Hyperscale Data Centers
• Enterprise Data Centers
• Colocation Data Centers
• Edge Data Centers
• Modular & Portable Data Centers

By Deployment

• On-Premises
• Cloud-Based
• Hybrid

By AI Application

• AI Model Training
• AI Model Inference
• Big Data Analytics
• Computer Vision Processing
• Natural Language Processing (NLP)
• Autonomous Systems & Robotics
• Cybersecurity & Fraud Detection

By Industry Vertical

• IT & Telecom
• BFSI
• Healthcare
• Retail & E-commerce
• Manufacturing
• Government & Defense
• Energy & Utilities
• Media & Entertainment
• Automotive
• Others
• List of Companies Profiled in the report
• Microsoft Corporation, NVIDIA Corporation, Google LLC, Intel Corporation, Advanced Micro Devices Inc., Dell Technologies, Cisco Systems Inc., Hewlett Packard Enterprise Development LP, Arista Networks Inc., Juniper Networks Inc., Nutanix, NetApp, Amazon Web Services Inc., Hitachi Vantara LLC

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 DATA CENTER - 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 Component
  • 3.7.2 Market Attractiveness Analysis By Data Center Type
  • 3.7.3 Market Attractiveness Analysis By Deployment
  • 3.7.4 Market Attractiveness Analysis By AI Application
  • 3.7.5 Market Attractiveness Analysis By Industry Vertical
  • 3.7.6 Market Attractiveness Analysis By Regions

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 DATA CENTER MARKET ANALYSIS BY COMPONENT

• 5.1. Overview By Component
• 5.2. Historical and Forecast Data Analysis By Component
• 5.3. Hardware Historic and Forecast Sales By Regions
• 5.4. Software Historic and Forecast Sales By Regions
• 5.5. Services Historic and Forecast Sales By Regions

6. GLOBAL AI DATA CENTER MARKET ANALYSIS BY DATA CENTER TYPE

• 6.1. Overview By Data Center Type
• 6.2. Historical and Forecast Data Analysis By Data Center Type
• 6.3. Hyperscale Data Centers Historic and Forecast Sales By Regions
• 6.4. Enterprise Data Centers Historic and Forecast Sales By Regions
• 6.5. Colocation Data Centers Historic and Forecast Sales By Regions
• 6.6. Edge Data Centers Historic and Forecast Sales By Regions
• 6.7. Modular & Portable Data Centers Historic and Forecast Sales By Regions

7. GLOBAL AI DATA CENTER MARKET ANALYSIS BY DEPLOYMENT

• 7.1. Overview By Deployment
• 7.2. Historical and Forecast Data Analysis By Deployment
• 7.3. On-Premises Historic and Forecast Sales By Regions
• 7.4. Cloud-Based Historic and Forecast Sales By Regions
• 7.5. Hybrid Historic and Forecast Sales By Regions

8. GLOBAL AI DATA CENTER MARKET ANALYSIS BY AI APPLICATION

• 8.1. Overview By AI Application
• 8.2. Historical and Forecast Data Analysis By AI Application
• 8.3. AI Model Training Historic and Forecast Sales By Regions
• 8.4. AI Model Inference Historic and Forecast Sales By Regions
• 8.5. Big Data Analytics Historic and Forecast Sales By Regions
• 8.6. Computer Vision Processing Historic and Forecast Sales By Regions
• 8.7. Natural Language Processing (NLP) Historic and Forecast Sales By Regions
• 8.8. Autonomous Systems & Robotics Historic and Forecast Sales By Regions
• 8.9. Cybersecurity & Fraud Detection Historic and Forecast Sales By Regions

9. GLOBAL AI DATA CENTER MARKET ANALYSIS BY INDUSTRY VERTICAL

• 9.1. Overview By Industry Vertical
• 9.2. Historical and Forecast Data Analysis By Industry Vertical
• 9.3. IT & Telecom Historic and Forecast Sales By Regions
• 9.4. BFSI Historic and Forecast Sales By Regions
• 9.5. Healthcare Historic and Forecast Sales By Regions
• 9.6. Retail & E-commerce Historic and Forecast Sales By Regions
• 9.7. Manufacturing Historic and Forecast Sales By Regions
• 9.8. Government & Defense Historic and Forecast Sales By Regions
• 9.9. Energy & Utilities Historic and Forecast Sales By Regions
• 9.10. Media & Entertainment Historic and Forecast Sales By Regions
• 9.11. Automotive Historic and Forecast Sales By Regions
• 9.12. Others Historic and Forecast Sales By Regions

10. GLOBAL AI DATA CENTER MARKET ANALYSIS BY GEOGRAPHY

• 10.1. Regional Outlook
• 10.2. Introduction
• 10.3. North America Sales Analysis
  • 10.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.3.2 North America By Segment Sales Analysis
  • 10.3.3 North America By Country Sales Analysis
  • 10.3.4 United States Sales Analysis
  • 10.3.5 Canada Sales Analysis
  • 10.3.6 Mexico Sales Analysis
• 10.4. Europe Sales Analysis
  • 10.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.4.2 Europe By Segment Sales Analysis
  • 10.4.3 Europe By Country Sales Analysis
  • 10.4.4 United Kingdom Sales Analysis
  • 10.4.5 France Sales Analysis
  • 10.4.6 Germany Sales Analysis
  • 10.4.7 Italy Sales Analysis
  • 10.4.8 Russia Sales Analysis
  • 10.4.9 Rest Of Europe Sales Analysis
• 10.5. Asia Pacific Sales Analysis
  • 10.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.5.2 Asia Pacific By Segment Sales Analysis
  • 10.5.3 Asia Pacific By Country Sales Analysis
  • 10.5.4 China Sales Analysis
  • 10.5.5 India Sales Analysis
  • 10.5.6 Japan Sales Analysis
  • 10.5.7 South Korea Sales Analysis
  • 10.5.8 Australia Sales Analysis
  • 10.5.9 South East Asia Sales Analysis
  • 10.5.10 Rest Of Asia Pacific Sales Analysis
• 10.6. Latin America Sales Analysis
  • 10.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.6.2 Latin America By Segment Sales Analysis
  • 10.6.3 Latin America By Country Sales Analysis
  • 10.6.4 Brazil Sales Analysis
  • 10.6.5 Argentina Sales Analysis
  • 10.6.6 Peru Sales Analysis
  • 10.6.7 Chile Sales Analysis
  • 10.6.8 Rest of Latin America Sales Analysis
• 10.7. Middle East & Africa Sales Analysis
  • 10.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.7.2 Middle East & Africa By Segment Sales Analysis
  • 10.7.3 Middle East & Africa By Country Sales Analysis
  • 10.7.4 Saudi Arabia Sales Analysis
  • 10.7.5 UAE Sales Analysis
  • 10.7.6 Israel Sales Analysis
  • 10.7.7 South Africa Sales Analysis
  • 10.7.8 Rest Of Middle East And Africa Sales Analysis

11. COMPETITIVE LANDSCAPE OF THE AI DATA CENTER COMPANIES

• 11.1. AI Data Center Market Competition
• 11.2. Partnership/Collaboration/Agreement
• 11.3. Merger And Acquisitions
• 11.4. New Product Launch
• 11.5. Other Developments

12. COMPANY PROFILES OF AI DATA CENTER INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Market Concentration Rate
• 12.3. Microsoft Corporation
  • 12.3.1 Company Overview
  • 12.3.2 Company Revenue
  • 12.3.3 Products
  • 12.3.4 Recent Developments
• 12.4. NVIDIA Corporation
  • 12.4.1 Company Overview
  • 12.4.2 Company Revenue
  • 12.4.3 Products
  • 12.4.4 Recent Developments
• 12.5. Google LLC
  • 12.5.1 Company Overview
  • 12.5.2 Company Revenue
  • 12.5.3 Products
  • 12.5.4 Recent Developments
• 12.6. Intel Corporation
  • 12.6.1 Company Overview
  • 12.6.2 Company Revenue
  • 12.6.3 Products
  • 12.6.4 Recent Developments
• 12.7. Advanced Micro Devices Inc.
  • 12.7.1 Company Overview
  • 12.7.2 Company Revenue
  • 12.7.3 Products
  • 12.7.4 Recent Developments
• 12.8. Dell Technologies
  • 12.8.1 Company Overview
  • 12.8.2 Company Revenue
  • 12.8.3 Products
  • 12.8.4 Recent Developments
• 12.9. Cisco Systems Inc.
  • 12.9.1 Company Overview
  • 12.9.2 Company Revenue
  • 12.9.3 Products
  • 12.9.4 Recent Developments
• 12.10. Hewlett Packard Enterprise Development LP
  • 12.10.1 Company Overview
  • 12.10.2 Company Revenue
  • 12.10.3 Products
  • 12.10.4 Recent Developments
• 12.11. Arista Networks Inc.
  • 12.11.1 Company Overview
  • 12.11.2 Company Revenue
  • 12.11.3 Products
  • 12.11.4 Recent Developments
• 12.12. Juniper Networks Inc.
  • 12.12.1 Company Overview
  • 12.12.2 Company Revenue
  • 12.12.3 Products
  • 12.12.4 Recent Developments
• 12.13. Nutanix
  • 12.13.1 Company Overview
  • 12.13.2 Company Revenue
  • 12.13.3 Products
  • 12.13.4 Recent Developments
• 12.14. NetApp
  • 12.14.1 Company Overview
  • 12.14.2 Company Revenue
  • 12.14.3 Products
  • 12.14.4 Recent Developments
• 12.15. Amazon Web Services Inc.
  • 12.15.1 Company Overview
  • 12.15.2 Company Revenue
  • 12.15.3 Products
  • 12.15.4 Recent Developments
• 12.16. Hitachi Vantara LLC
  • 12.16.1 Company Overview
  • 12.16.2 Company Revenue
  • 12.16.3 Products
  • 12.16.4 Recent Developments

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

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