세계의 AI 데이터센터 시장 보고서(2025년)
AI Datacenters Global Market Report 2025
상품코드 : 1889293
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

인공지능(AI) 데이터센터 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 165억 7,000만 달러로 평가되었고, 2025년에는 214억 4,000만 달러에 달할 것으로 추정되며, CAGR 29.4%로 성장이 예상되고 있습니다. 지난 수년간의 성장은 고성능 컴퓨팅에 대한 수요 증가, 클라우드 서비스 도입 확대, 데이터센터 인프라 투자 증가, 에너지 절약 솔루션의 높은 요구, 자동화 운영 수요 증가 등이 요인으로 생각됩니다.

인공지능(AI) 데이터센터 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 593억 9,000만 달러에 달할 것으로 예측되며, CAGR 29.0%로 성장할 전망입니다. 예측 기간의 성장은 엣지 및 클라우드 AI 서비스의 도입 증가, 기업용 AI 워크로드 확대, 에너지 효율적인 AI 인프라에 대한 주목 고조, 확장 가능한 컴퓨팅 솔루션에 대한 수요 증가에 기인할 것으로 예측됩니다. 예측 기간의 주요 동향으로는 텐서 처리 유닛(TPU)의 진보, AI 하드웨어 소프트웨어의 혁신, 에너지 효율적인 데이터센터 설계의 개발, AI 워크로드 최적화의 연구 개발, 데이터센터 운용의 자동화 진전 등을 들 수 있습니다.

향후 수년간 데이터 생성량 증가가 인공지능(AI) 데이터센터 시장의 성장을 견인할 것으로 예측됩니다. 데이터 생성은 분석, 모델 개발 또는 테스트를 위한 새로운 실제 데이터 및 합성 데이터를 생성하는 것을 의미합니다. 조직이 첨단 AI 시스템 훈련, 예측 정확성 향상, 데이터 부족 해소, 기밀 및 입수 어려운 정보에 의존하지 않고 현실 세계 시나리오를 시뮬레이션하기 위해 대규모의 다양하고 고품질 데이터 세트에 의존하게 됨에 따라 데이터 생성량이 증가하고 있습니다. AI 데이터센터는 고성능 컴퓨팅, 확장 가능한 스토리지 및 고속 처리를 제공하여 이 프로세스를 지원하고 대량의 데이터를 효율적으로 관리합니다. 예를 들어, 2025년 2월에 SOAX는 2024년에는 하루에 약 4억 289만 테라바이트의 데이터가 생성, 수집, 복제 및 소비되어 연간 147제타바이트에 달했다고 보고했습니다. 2025년까지 181제타바이트에 달할 전망입니다. 이 데이터 생성량 증가는 AI 데이터센터 시장의 성장을 이끌고 있습니다.

인공지능(AI) 데이터센터 시장에서 사업을 전개하는 주요 기업은 계산 효율 향상, 처리 능력 강화, 운영 비용 및 에너지 사용량 절감을 목적으로 5세대 텐서처리유닛(TPU) 등의 선진적인 제품을 개발하고 있습니다. 5세대 TPU는 특히 대규모 머신러닝 모델의 교육 및 실행에서 AI 워크로드를 가속화하도록 설계된 집적 회로입니다. 2024년 5월 미국에 본사를 둔 기술 기업인 Google LLC는 이전 세대 대비 AI 성능을 5배 향상시키는 5세대 TPU 'Trillium 칩'을 발표했습니다. 이 칩은 까다로운 AI 모델을 위한 컴퓨팅 능력과 메모리 대역폭을 향상시키고 Google의 AI 데이터센터에서 교육 및 추론 성능을 최적화하는 동시에 에너지 효율을 향상시킵니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁 및 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Artificial intelligence datacenters are specialized facilities designed to handle large-scale AI workloads, including machine learning, deep learning, and data analytics. They are equipped with high-performance computing resources to process massive datasets efficiently. These datacenters accelerate AI model training and inference, enabling faster insights, predictions, and automation for businesses and research.

The main components of artificial intelligence datacenters are hardware, software, and services. Hardware includes computing and networking components such as servers, storage, switches, and power/cooling infrastructure that support AI workloads. Datacenter types include hyperscale, colocation, edge, and others. These solutions serve industries including healthcare, retail, information technology, telecom, banking, financial services and insurance, automotive, media and entertainment, manufacturing, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The artificial intelligence (AI) datacenters market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) datacenters market statistics, including artificial intelligence (AI) datacenters industry global market size, regional shares, competitors with an artificial intelligence (AI) datacenters market share, detailed artificial intelligence (AI) datacenters market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) datacenters industry. This artificial intelligence (AI) datacenters market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) datacenters market size has grown exponentially in recent years. It will grow from $16.57 billion in 2024 to $21.44 billion in 2025 at a compound annual growth rate (CAGR) of 29.4%. The growth in the historic period can be attributed to rising demand for high-performance computing, growing cloud service deployment, increasing investments in data center infrastructure, higher need for energy-efficient solutions, and growing demand for automated operations.

The artificial intelligence (AI) datacenters market size is expected to see exponential growth in the next few years. It will grow to $59.39 billion in 2029 at a compound annual growth rate (CAGR) of 29.0%. The growth in the forecast period can be attributed to rising deployment of edge and cloud AI services, expansion of enterprise AI workloads, increasing focus on energy-efficient AI infrastructure, and greater need for scalable computing solutions. Key trends in the forecast period include advancements in tensor processing units, innovations in AI hardware and software, developments in energy-efficient data center designs, research and development in AI workload optimization, and increasing automation of data center operations.

The increasing generation of data is expected to drive the growth of the artificial intelligence (AI) data center market in the coming years. Data generation involves creating new real or synthetic data for analysis, model development, or testing. Data generation is rising as organizations rely on large, diverse, and high-quality datasets to train advanced AI systems, improve predictive accuracy, address data scarcity, and simulate real-world scenarios without depending solely on sensitive or hard-to-obtain information. AI data centers support this process by providing high-performance computing, scalable storage, and fast processing to efficiently manage large volumes of data. For example, in February 2025, SOAX Ltd. reported that in 2024, approximately 402.89 million terabytes of data were created, captured, copied, or consumed each day, totaling 147 zettabytes annually, with expectations to reach 181 zettabytes by 2025. This rise in data generation is driving the growth of the AI data center market.

Major companies operating in the artificial intelligence (AI) datacenters market are developing advanced products, such as fifth-generation tensor processing units (TPUs), to increase computational efficiency, boost processing power, and reduce operational costs and energy use. Fifth-generation TPUs are integrated circuits designed to accelerate AI workloads, especially for training and running large machine learning models. In May 2024, Google LLC, a US-based technology company, launched the Trillium chip, a fifth-generation TPU that improves AI performance fivefold compared to its predecessor. The chip increases computational power and memory bandwidth for demanding AI models, optimizing performance in Google AI datacenters for both training and inference while improving energy efficiency.

In March 2025, Advanced Micro Devices Inc., a US-based semiconductor company, acquired ZT Systems for an undisclosed amount. The acquisition combines AMD's AI and high-performance processors with ZT Systems' data center expertise to enhance AI infrastructure solutions for cloud providers and enterprises. ZT Systems is a US-based hardware company providing AI-ready servers and infrastructure for artificial intelligence data centers.

Major companies operating in the ai datacenters market areAmazon Web Services Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Cloud Computing Co. Ltd., NTT Communications Corporation, Dell Technologies Inc., International Business Machines Corporation, NVIDIA Corporation, Cisco Systems Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, Equinix Inc., Digital Realty Trust Inc., Arista Networks Inc., Stack Infrastructure Inc., QTS Realty Trust LLC, CyrusOne Inc., and G42 Holding Limited.

North America was the largest region in the artificial intelligence (AI) datacenters market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the urban landscaping market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) datacenters market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) datacenters market consists of revenues earned by entities by providing services such as AI model training and inference services, data storage and processing, performance monitoring and analytics, and AI workload optimization solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) datacenters market also includes sales of high-performance servers, graphics processing units (GPUs), tensor processing units (TPUs), AI-optimized storage systems, networking equipment, cooling and power management solutions, and software platforms. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI Datacenters Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai datacenters market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for ai datacenters ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai datacenters market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. AI Datacenters Market Characteristics

3. AI Datacenters Market Trends And Strategies

4. AI Datacenters Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global AI Datacenters Growth Analysis And Strategic Analysis Framework

6. AI Datacenters Market Segmentation

7. AI Datacenters Market Regional And Country Analysis

8. Asia-Pacific AI Datacenters Market

9. China AI Datacenters Market

10. India AI Datacenters Market

11. Japan AI Datacenters Market

12. Australia AI Datacenters Market

13. Indonesia AI Datacenters Market

14. South Korea AI Datacenters Market

15. Western Europe AI Datacenters Market

16. UK AI Datacenters Market

17. Germany AI Datacenters Market

18. France AI Datacenters Market

19. Italy AI Datacenters Market

20. Spain AI Datacenters Market

21. Eastern Europe AI Datacenters Market

22. Russia AI Datacenters Market

23. North America AI Datacenters Market

24. USA AI Datacenters Market

25. Canada AI Datacenters Market

26. South America AI Datacenters Market

27. Brazil AI Datacenters Market

28. Middle East AI Datacenters Market

29. Africa AI Datacenters Market

30. AI Datacenters Market Competitive Landscape And Company Profiles

31. AI Datacenters Market Other Major And Innovative Companies

32. Global AI Datacenters Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI Datacenters Market

34. Recent Developments In The AI Datacenters Market

35. AI Datacenters Market High Potential Countries, Segments and Strategies

36. Appendix

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