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市場調查報告書
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2094030

全球直接晶片液冷市場：按類型、組件、機架密度、資料中心類型、應用和地區分類－市場規模、產業動態、機會分析和預測（2026-2035 年）

Global Direct-to-Chip Liquid Cooling Market By Type, Component, Rack Density, Data Center Type, Application, Region - Market Size, Industry Dynamics, Opportunity Analysis and Forecast For 2026-2035
出版日期: | 出版商: Astute Analytica | 英文 240 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

受資料中心、高效能運算 (HPC) 和人工智慧 (AI) 基礎設施對先進溫度控管解決方案需求不斷成長的推動，晶片級液冷市場預計將在未來幾年顯著擴張。該市場預計到 2025 年將達到約 35 億美元，並預計在 2035 年將成長至約 281 億美元。這意味著在 2026 年至 2035 年的預測期內，其複合年成長率 (CAGR) 將高達 23.1%。

全球資料中心產業的持續擴張仍將是市場成長的主要驅動力。雲端服務供應商、超大規模營運商和企業正在大力投資下一代運算基礎設施，以支援日益成長的數位化工作負載、人工智慧 (AI) 應用和資料密集型服務。隨著伺服器架構效能的提升和機架級功率密度的不斷提高，傳統的冷卻方式正變得越來越難以滿足需求。

顯著的市場趨勢

隨著資料中心營運商、超大規模雲端服務供應商和高效能運算 (HPC) 企業尋求先進的溫度控管解決方案以應對日益成長的處理器功率密度，晶片直接液冷市場的競爭日益激烈。憑藉與戴爾科技和惠普企業等領先 OEM 廠商的廣泛合作，CoolIT Systems 已成為晶片直接液冷市場的目的地者之一。

透過收購 CoolTera，Vertiv 擴展了其溫度控管產品組合併增強了自身實力，鞏固了其在晶片驅動冷卻行業的地位。 Motivair 公司憑藉其為嚴苛的科學、研究和工業應用而設計的先進液冷技術，在高效能運算 (HPC) 領域建立了良好的聲譽。

博伊德公司憑藉其在先進材料科學、熱工程和精密製造方面的專業技術，在直噴液冷市場中保持強大的競爭力。祖塔科公司專注於兩相直噴式液冷技術，並在液冷市場這一快速發展的領域中贏得了良好的聲譽。

主要成長要素

對提高能源效率和降低電源使用效率 (PUE) 的迫切需求是推動晶片級液冷市場快速成長的主要驅動力。隨著運算需求的持續成長，全球資料中心面臨越來越大的壓力，需要降低電力消耗、最佳化營運效率並實現永續性目標。人工智慧、雲端服務和高效能運算工作負載的激增推動了能源需求的成長，營運商正優先考慮能夠降低基礎設施電力消耗並保持可靠性能的先進冷卻技術。

新機會的趨勢

生成式人工智慧 (GenAI) 和基於 GPU 的運算基礎設施的快速發展，為晶片級液冷市場帶來了巨大的新成長機會。隨著人工智慧、機器學習、大規模語言模型和進階資料分析的日益普及，對需要專用溫度控管方案的高功率運算系統的需求也隨之成長。現代人工智慧工作負載嚴重依賴高密度 GPU叢集和專用加速硬體，與傳統企業運算環境相比，它們會產生更高的熱量。

最佳化障礙

晶片級液冷技術需要巨額的初始資本投入，且投資回報時間存在不確定性，這可能會限制其市場成長。儘管晶片級液冷技術能夠透過提高熱效率、增加機架密度和降低冷卻能耗帶來顯著的長期效益，但從傳統風冷基礎設施過渡到該技術所需的初始投資對許多資料中心營運商而言可能是一項巨大的財務挑戰。因此，在進行大規模部署之前，企業應仔細評估目前的基礎設施成本與未來營運成本節約之間的平衡。

目錄

第1章摘要整理：全球直噴液冷市場

第2章：調查方法與研究框架

  • 研究目標
  • 產品概述
  • 市場區隔
  • 定性研究
    • 一手和二手資訊
  • 量化研究
    • 一手和二手資訊
  • 主要調查受訪者組成：按地區分類
  • 本研究的前提
  • 市場規模估算
  • 數據三角測量

第3章：全球直噴液冷市場概述

  • 產業價值鏈分析
  • 產業展望
    • 全球晶片驅動液冷和資料中心溫度控管產業概覽
    • GPU 的 TDP 不斷上升以及 AI 機架密度的不斷增加，正在挑戰風冷散熱的極限。
    • PUE/用水量法規、維修的經濟性以及兩相冷卻實施現狀。
  • PESTLE分析
  • 波特五力分析
  • 市場成長及前景
    • 2020-2035年市場收入估算與預測
    • 價格趨勢分析：按類型

第4章：全球直噴液冷市場分析

  • 競爭對手儀表板
    • 市場集中度
    • 企業市場占有率分析，2025 年
    • 競爭對手分析與基準測試

第5章：全球直噴液冷市場分析

  • 市場動態和趨勢
    • 成長要素
    • 抑制因子
    • 機會
    • 主要趨勢
  • 市場規模及預測，2020-2035年
    • 按類型
      • 關鍵見解
        • 單相
        • 兩相
    • 按組件
      • 關鍵見解
        • 硬體
          • 冷板
          • 冷卻液分配單元
          • 歧管和管路
        • 冷卻液
        • 服務
    • 按貨架密度
      • 關鍵見解
        • 50千瓦或以下
        • 50～120 kW
        • 超過120千瓦
    • 依資料中心類型
      • 關鍵見解
        • 超大規模
        • 搭配
        • 公司
        • 邊緣
    • 用途別
      • 關鍵見解
        • 人工智慧訓練
        • 人工智慧推理
        • HPC
        • 通用雲
    • 按地區
      • 關鍵見解
        • 北美洲
          • 美國
          • 加拿大
          • 墨西哥
        • 歐洲
          • 西歐
            • 英國
            • 德國
            • 法國
            • 義大利
            • 西班牙
            • 其他西歐國家
          • 東歐
            • 波蘭
            • 俄羅斯
            • 其他東歐國家
        • 亞太地區
          • 中國
          • 印度
          • 日本
          • 澳洲和紐西蘭
          • 韓國
          • ASEAN
          • 其他亞太國家
        • 中東和非洲（MEA）
          • 沙烏地阿拉伯
          • 南非
          • UAE
          • 其他中東和非洲國家
        • 南美洲
          • 阿根廷
          • 巴西
          • 其他南美國家

第6章：北美市場分析

第7章：歐洲市場分析

第8章：亞太市場分析

第9章：中東和非洲市場分析

第10章：南美市場分析

第11章：公司簡介

  • Advanced Micro Devices, Inc.
  • Asetek
  • CoolIT Systems
  • Chilldyne, Inc.
  • Iceotope Technologies
  • Fujitsu Ltd.
  • LiquidStack
  • JETCOOL Technologies Inc.
  • Submer
  • Schneider Electric
  • ZutaCore
  • Vertiv Holdings Co
  • 其他主要公司

第12章附錄

簡介目錄
Product Code: AA07261871

The direct-to-chip liquid cooling market is expected to experience significant expansion over the coming years, driven by increasing demand for advanced thermal management solutions across data centers, high-performance computing (HPC), and artificial intelligence infrastructure. The market is estimated to reach approximately USD 3.5 billion in 2025 and is projected to grow to around USD 28.1 billion by 2035, representing a strong compound annual growth rate (CAGR) of 23.1% during the forecast period from 2026 to 2035.

The continued expansion of the global data center industry will remain a primary factor supporting market growth. Cloud service providers, hyperscale operators, and enterprise organizations are investing heavily in next-generation computing infrastructure to support increasing digital workloads, artificial intelligence applications, and data-intensive services. As server architectures become more powerful and rack-level power densities continue rising, conventional cooling approaches face growing limitations.

Noteworthy Market Developments

The direct-to-chip liquid cooling market is becoming increasingly competitive as data center operators, hyperscale cloud providers, and high-performance computing organizations seek advanced thermal management solutions to support rising processor power densities. CoolIT Systems has emerged as one of the leading companies in the direct-to-chip liquid cooling market, supported by extensive collaborations with major original equipment manufacturers (OEMs) such as Dell Technologies and Hewlett Packard Enterprise.

Vertiv has strengthened its position in the direct-to-chip cooling industry by expanding its thermal management portfolio and enhancing its capabilities following the acquisition of CoolTera. Motivair Corporation has developed a strong reputation within the high-performance computing (HPC) segment by delivering advanced liquid cooling technologies designed for demanding scientific, research, and industrial applications.

Boyd Corporation maintains a competitive position in the direct-to-chip liquid cooling market through its expertise in advanced materials science, thermal engineering, and precision manufacturing. ZutaCore has gained recognition through its focus on two-phase direct-to-chip liquid cooling technology, a rapidly expanding segment within the broader liquid cooling market.

Core Growth Drivers

The urgent need for improved energy efficiency and lower Power Usage Effectiveness (PUE) values has become a major factor accelerating growth in the direct-to-chip liquid cooling market. Data centers worldwide are facing increasing pressure to reduce electricity consumption, optimize operational efficiency, and meet sustainability targets as computing demand continues to expand. With artificial intelligence, cloud services, and high-performance computing workloads driving greater energy requirements, operators are prioritizing advanced cooling technologies that can reduce infrastructure power consumption while maintaining reliable performance.

Emerging Opportunity Trends

The rapid expansion of generative artificial intelligence (GenAI) and GPU-based computing infrastructure represents a significant emerging opportunity for growth in the direct-to-chip liquid cooling market. The increasing adoption of artificial intelligence, machine learning, large language models, and advanced data analytics is driving demand for highly powerful computing systems that require specialized thermal management solutions. Modern AI workloads depend heavily on dense GPU clusters and dedicated acceleration hardware, which generate substantially greater heat output compared with conventional enterprise computing environments.

Barriers to Optimization

Prohibitive upfront capital expenditure requirements and uncertainty surrounding return on investment (ROI) timelines may restrict the growth of the direct-to-chip liquid cooling market. Although direct-to-chip cooling provides significant long-term benefits through improved thermal efficiency, higher rack densities, and reduced cooling energy consumption, the initial investment required for transitioning from conventional air-cooled infrastructure can create financial challenges for many data center operators. Organizations must carefully evaluate the balance between immediate infrastructure costs and future operational savings before committing to large-scale deployments.

Detailed Market Segmentation

By type, single-phase direct-to-chip liquid cooling systems maintained the largest share of the global direct-to-chip liquid cooling market in the recent period. The strong market position of single-phase technology is primarily attributed to its proven performance, operational simplicity, and suitability for large-scale data center deployments. As organizations continue upgrading their server infrastructure to support artificial intelligence, cloud computing, and high-performance workloads, facility operators are increasingly selecting single-phase direct-to-chip cooling architectures as a practical and cost-effective thermal management solution.

By component, cold plates represented the dominant segment in the global direct-to-chip liquid cooling market throughout the previous year. The increasing adoption of high-performance computing infrastructure, artificial intelligence systems, and advanced data center architectures has significantly increased demand for efficient heat removal technologies. Cold plates serve as one of the most critical components in direct-to-chip liquid cooling systems because they establish direct thermal contact with high-power semiconductor devices and enable efficient transfer of heat away from processors and accelerators.

By rack density, server racks with power requirements exceeding 120 kilowatts currently represent the largest investment area within the global direct-to-chip liquid cooling market. The rapid growth of artificial intelligence, machine learning, and high-performance computing applications has significantly increased the amount of processing power required within modern data centers. As organizations deploy more advanced computing infrastructure, operators are increasingly moving toward extremely dense rack configurations that accommodate powerful processors, graphics processing units (GPUs), and specialized AI accelerators. These high-density environments create substantial thermal management challenges, driving greater demand for advanced liquid cooling solutions.

By data center type, hyperscale data centers represented the leading deployment segment in the global direct-to-chip liquid cooling market throughout the previous year. The rapid expansion of cloud computing, artificial intelligence, and large-scale digital services has encouraged major technology companies to develop massive computing campuses capable of handling continuously increasing volumes of data processing workloads. These hyperscale facilities are designed to support extensive infrastructure requirements, including thousands of servers operating at exceptionally high performance levels, making efficient thermal management a critical operational priority.

Segment Breakdown

By Type

  • Single-Phase
  • Two-Phase

By Component

  • Hardware
  • Cold Plates
  • Coolant Distribution Units
  • Manifolds & Piping
  • Coolant
  • Services

By Rack Density

  • Up to 50 kW
  • 50-120 kW
  • Above 120 kW

By Data Center Type

  • Hyperscale
  • Colocation
  • Enterprise
  • Edge

By Application

  • AI Training
  • AI Inference
  • HPC
  • General Cloud

By Region

  • North America
  • The U.S.
  • Canada
  • Mexico
  • Europe
  • Western Europe
  • The UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Western Europe
  • Eastern Europe
  • Poland
  • Russia
  • Rest of Eastern Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia & New Zealand
  • South Korea
  • ASEAN
  • Rest of Asia Pacific
  • Middle East & Africa (MEA)
  • Saudi Arabia
  • South Africa
  • UAE
  • Rest of MEA
  • South America
  • Argentina
  • Brazil
  • Rest of South America

Geography Breakdown

  • North America is expected to hold a dominant position in the global direct-to-chip liquid cooling market in 2026, driven by the region's rapid expansion of hyperscale cloud computing infrastructure and advanced data center deployments. The United States, in particular, has witnessed significant growth in large-scale cloud facilities operated by major technology companies, creating an urgent need for highly efficient thermal management solutions. As data centers continue to increase in size and computational capability, operators are investing heavily in next-generation cooling technologies that can support rising processing demands while improving energy efficiency and operational reliability.
  • The rapid advancement of artificial intelligence development has become one of the strongest drivers accelerating the adoption of direct-to-chip liquid cooling systems across North America. Modern AI workloads require enormous computational power, leading to the deployment of high-performance servers equipped with increasingly powerful processors, graphics processing units, and specialized AI accelerators. These systems generate extremely high levels of heat within compact server environments, creating thermal challenges that conventional air-based cooling technologies are unable to effectively address.

Leading Market Participants

  • Advanced Micro Devices, Inc.
  • Asetek
  • CoolIT Systems
  • Chilldyne, Inc.
  • Iceotope Technologies
  • Fujitsu Ltd.
  • LiquidStack
  • JETCOOL Technologies Inc.
  • Submer
  • Schneider Electric
  • ZutaCore
  • Vertiv Holdings Co
  • Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Global Direct-to-Chip Liquid Cooling Market

Chapter 2. Research Methodology & Research Framework

  • 2.1. Research Objective
  • 2.2. Product Overview
  • 2.3. Market Segmentation
  • 2.4. Qualitative Research
    • 2.4.1. Primary & Secondary Sources
  • 2.5. Quantitative Research
    • 2.5.1. Primary & Secondary Sources
  • 2.6. Breakdown of Primary Research Respondents, By Region
  • 2.7. Assumption for Study
  • 2.8. Market Size Estimation
  • 2.9. Data Triangulation

Chapter 3. Global Direct-to-Chip Liquid Cooling Market Overview

  • 3.1. Industry Value Chain Analysis
    • 3.1.1. Cold-Plate, CDU & Thermal-Component Manufacturers
    • 3.1.2. Coolant / Dielectric-Fluid & Consumable Suppliers
    • 3.1.3. Server / GPU OEMs & Cooling-System Integrators
    • 3.1.4. Data Center Operators & Colocation Providers
    • 3.1.5. End Users (Hyperscale, Colocation, Enterprise, Edge)
  • 3.2. Industry Outlook
    • 3.2.1. Overview of the Global Direct-to-Chip Liquid Cooling & Data-Center Thermal Industry
    • 3.2.2. Rising GPU TDP and AI Rack Densities Outpacing Air Cooling
    • 3.2.3. PUE / Water Mandates, Retrofit Economics & Two-Phase Adoption
  • 3.3. PESTLE Analysis
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Bargaining Power of Suppliers
    • 3.4.2. Bargaining Power of Buyers
    • 3.4.3. Threat of Substitutes
    • 3.4.4. Threat of New Entrants
    • 3.4.5. Degree of Competition
  • 3.5. Market Growth and Outlook
    • 3.5.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2035
    • 3.5.2. Price Trend Analysis, By Type

Chapter 4. Global Direct-to-Chip Liquid Cooling Market Analysis

  • 4.1. Competition Dashboard
    • 4.1.1. Market Concentration Rate
    • 4.1.2. Company Market Share Analysis (Value %), 2025
    • 4.1.3. Competitor Mapping & Benchmarking

Chapter 5. Global Direct-to-Chip Liquid Cooling Market Analysis

  • 5.1. Market Dynamics and Trends
    • 5.1.1. Growth Drivers
    • 5.1.2. Restraints
    • 5.1.3. Opportunity
    • 5.1.4. Key Trends
  • 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 5.2.1. By Type
      • 5.2.1.1. Key Insights
        • 5.2.1.1.1. Single-Phase
        • 5.2.1.1.2. Two-Phase
    • 5.2.2. By Component
      • 5.2.2.1. Key Insights
        • 5.2.2.1.1. Hardware
          • 5.2.2.1.1.1. Cold Plates
          • 5.2.2.1.1.2. Coolant Distribution Units
          • 5.2.2.1.1.3. Manifolds & Piping
        • 5.2.2.1.2. Coolant
        • 5.2.2.1.3. Services
    • 5.2.3. By Rack Density
      • 5.2.3.1. Key Insights
        • 5.2.3.1.1. Up to 50 kW
        • 5.2.3.1.2. 50-120 kW
        • 5.2.3.1.3. Above 120 kW
    • 5.2.4. By Data Center Type
      • 5.2.4.1. Key Insights
        • 5.2.4.1.1. Hyperscale
        • 5.2.4.1.2. Colocation
        • 5.2.4.1.3. Enterprise
        • 5.2.4.1.4. Edge
    • 5.2.5. By Application
      • 5.2.5.1. Key Insights
        • 5.2.5.1.1. AI Training
        • 5.2.5.1.2. AI Inference
        • 5.2.5.1.3. HPC
        • 5.2.5.1.4. General Cloud
    • 5.2.6. By Region
      • 5.2.6.1. Key Insights
        • 5.2.6.1.1. North America
          • 5.2.6.1.1.1. The U.S.
          • 5.2.6.1.1.2. Canada
          • 5.2.6.1.1.3. Mexico
        • 5.2.6.1.2. Europe
          • 5.2.6.1.2.1. Western Europe
            • 5.2.6.1.2.1.1. The UK
            • 5.2.6.1.2.1.2. Germany
            • 5.2.6.1.2.1.3. France
            • 5.2.6.1.2.1.4. Italy
            • 5.2.6.1.2.1.5. Spain
            • 5.2.6.1.2.1.6. Rest of Western Europe
          • 5.2.6.1.2.2. Eastern Europe
            • 5.2.6.1.2.2.1. Poland
            • 5.2.6.1.2.2.2. Russia
            • 5.2.6.1.2.2.3. Rest of Eastern Europe
        • 5.2.6.1.3. Asia Pacific
          • 5.2.6.1.3.1. China
          • 5.2.6.1.3.2. India
          • 5.2.6.1.3.3. Japan
          • 5.2.6.1.3.4. Australia & New Zealand
          • 5.2.6.1.3.5. South Korea
          • 5.2.6.1.3.6. ASEAN
          • 5.2.6.1.3.7. Rest of Asia Pacific
        • 5.2.6.1.4. Middle East & Africa (MEA)
          • 5.2.6.1.4.1. Saudi Arabia
          • 5.2.6.1.4.2. South Africa
          • 5.2.6.1.4.3. UAE
          • 5.2.6.1.4.4. Rest of MEA
        • 5.2.6.1.5. South America
          • 5.2.6.1.5.1. Argentina
          • 5.2.6.1.5.2. Brazil
          • 5.2.6.1.5.3. Rest of South America

Chapter 6. North America Market Analysis

  • 6.1. Market Dynamics and Trends
    • 6.1.1. Growth Drivers
    • 6.1.2. Restraints
    • 6.1.3. Opportunity
    • 6.1.4. Key Trends
  • 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 6.2.1. Key Insights
      • 6.2.1.1. By Type
      • 6.2.1.2. By Component
      • 6.2.1.3. By Rack Density
      • 6.2.1.4. By Data Center Type
      • 6.2.1.5. By Application
      • 6.2.1.6. By Country

Chapter 7. Europe Market Analysis

  • 7.1. Market Dynamics and Trends
    • 7.1.1. Growth Drivers
    • 7.1.2. Restraints
    • 7.1.3. Opportunity
    • 7.1.4. Key Trends
  • 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 7.2.1. Key Insights
      • 7.2.1.1. By Type
      • 7.2.1.2. By Component
      • 7.2.1.3. By Rack Density
      • 7.2.1.4. By Data Center Type
      • 7.2.1.5. By Application
      • 7.2.1.6. By Country

Chapter 8. Asia Pacific Market Analysis

  • 8.1. Market Dynamics and Trends
    • 8.1.1. Growth Drivers
    • 8.1.2. Restraints
    • 8.1.3. Opportunity
    • 8.1.4. Key Trends
  • 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 8.2.1. Key Insights
      • 8.2.1.1. By Type
      • 8.2.1.2. By Component
      • 8.2.1.3. By Rack Density
      • 8.2.1.4. By Data Center Type
      • 8.2.1.5. By Application
      • 8.2.1.6. By Country

Chapter 9. Middle East & Africa Market Analysis

  • 9.1. Market Dynamics and Trends
    • 9.1.1. Growth Drivers
    • 9.1.2. Restraints
    • 9.1.3. Opportunity
    • 9.1.4. Key Trends
  • 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 9.2.1. Key Insights
      • 9.2.1.1. By Type
      • 9.2.1.2. By Component
      • 9.2.1.3. By Rack Density
      • 9.2.1.4. By Data Center Type
      • 9.2.1.5. By Application
      • 9.2.1.6. By Country

Chapter 10. South America Market Analysis

  • 10.1. Market Dynamics and Trends
    • 10.1.1. Growth Drivers
    • 10.1.2. Restraints
    • 10.1.3. Opportunity
    • 10.1.4. Key Trends
  • 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
    • 10.2.1. Key Insights
      • 10.2.1.1. By Type
      • 10.2.1.2. By Component
      • 10.2.1.3. By Rack Density
      • 10.2.1.4. By Data Center Type
      • 10.2.1.5. By Application
      • 10.2.1.6. By Country

Chapter 11. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

  • 11.1. Advanced Micro Devices, Inc.
  • 11.2. Asetek
  • 11.3. CoolIT Systems
  • 11.4. Chilldyne, Inc.
  • 11.5. Iceotope Technologies
  • 11.6. Fujitsu Ltd.
  • 11.7. LiquidStack
  • 11.8. JETCOOL Technologies Inc.
  • 11.9. Submer
  • 11.10. Schneider Electric
  • 11.11. ZutaCore
  • 11.12. Vertiv Holdings Co
  • 11.13. Other Prominent Players

Chapter 12. Annexure

  • 12.1. List of Secondary Sources
  • 12.2. Key Country Markets- Macro Economic Outlook/Indicators