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商品編碼

2148219

AI資料中心浸沒式冷卻系統的市場規模、佔有率和成長預測（2026-2032年）

AI Data Center Immersion Cooling Systems Market Size, Share & Growth Forecast (2026-2032)

出版日期: 2026年09月25日 | 出版商:

Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

預計到 2026 年，人工智慧資料中心浸沒式冷卻系統市場規模將達到 9.5 億美元，到 2032 年將達到 47.6 億美元。這意味著從 2026 年到 2032 年的複合年成長率將達到 30.8%。

浸沒式冷卻技術徹底革新了散熱架構，它消除了發熱電子元件與主要冷卻介質之間的空氣層。在單相系統中，伺服器浸沒在介電液體中，該液體在熱交換器中循環時保持液態。在兩相系統中，使用一種介電液體，該液體在組件表面沸騰，並在機箱內部其他位置冷凝，透過相變傳遞熱量。這兩種架構都能有效散熱，減少對高速風扇的依賴，進而在更小的面積內實現更高的運算密度。這項技術最具商業化前景的應用場景是那些由於密度、部署速度或環境條件等原因而難以採用傳統冷卻方式的場所。人工智慧推理和訓練叢集擴大部署在模組化設施、工業建築、邊緣站點和維修的資料中心中，這些場所可能缺乏高機架密度所需的占地面積和空調基礎設施。與晶片級液冷相比，該市場仍缺乏標準化。伺服器供應商必須在持續接觸液體的條件下檢驗材料、連接器、驅動器、電源、線材和維護程序。操作人員必須建立用於吊掛、排空和維護浸沒式硬體的流程，而流體供應商則必須證明其產品具備介電性能、氧化穩定性、閃點、材料相容性和長期清潔度。因此，硬體、流體和運算平台認證緊密交織的市場應運而生，整合度不斷提高，引進週期也越來越長。

市場促進因素

隨著人工智慧密度的增加，伺服器級熱回收的價值日益凸顯。晶片級直接冷卻主要針對處理器和其他特定的高發熱組件，而內存、電源、儲存設備和網路設備的餘熱則通常透過風冷排出，除非延長液冷迴路。另一方面，浸沒式冷卻則能在同一流體環境中回收大部分甚至全部伺服器組件的熱量。隨著人工智慧系統機架總功耗的增加以及更多元件需要主動溫度控管，伺服器級熱回收的價值也隨之提升。這在高密度推理叢集、專用加速器和高效能運算平台中尤其重要，因為營運商在這些應用中優先考慮的是每平方公尺的最大運算能力。
這種無水且氣候適應性強的部署模式拓展了目標安裝地點的範圍。浸沒式冷卻系統可與乾式冷卻器和其他封閉回路型散熱裝置協同運作，無需機架級蒸發冷卻。這使得它們成為水資源有限地區或實施傳統機房空調需要對建築進行大規模維修的場所的理想選擇。 Submer 將浸沒式冷卻技術定位在氣候適應性和高密度人工智慧部署領域，而 Infinium 則憑藉其無水模組化基礎設施，專門針對現有的商業和工業設施。這些應用場景正在催生超越傳統超大規模資料中心模式的需求。
整合硬體認證正在穩步推進，商業化準備工作也接近尾聲。市場正從獨立的基於水箱的概念驗證測試轉向伺服器製造商、冷卻液供應商和冷卻系統廠商之間通力合作的整合解決方案。埃克森美孚和超微正在使用浸沒式冷卻液檢驗基於NVIDIA B300晶片的伺服器，而UNICOM Engineering和GRC則提供承包人工智慧和高效能運算平台。 S-OIL在韓國進行的概念驗證測試整合了圖形處理器（GPU）伺服器、冷卻水箱、冷卻液和運行監控系統。每個檢驗的參考案例都能減輕買家的整合負擔，並支援可復現的部署，而非一次性的工程項目。
策略投資正在拓展供應商生態系統。領先的溫度控管和材料公司正在進軍浸沒式冷卻業務或擴展其產品組合。特靈科技公司已同意於2026年收購LiquidStack，將浸沒式冷卻技術納入其更廣泛的冷卻器、廢熱和液體分配平台。陶氏化學正在將一種專用的單相浸沒式冷卻液商業化，而埃克森美孚、殼牌、SK Enmove和S-OIL等能源和潤滑油公司正在開發和測試介電產品。這擴大了製造能力、服務範圍和長期流體支持，而這些對於浸沒式冷卻技術擺脫專業應用的限制、更廣泛的應用至關重要。

市場限制因素

浸沒式冷卻面臨許多結構性障礙，使其難以在大多數人工智慧資料中心取代晶片級直接冷卻。伺服器保固和現場服務流程並未針對浸沒在液體中的設備進行統一設計，組件更換可能需要傳統負責人不熟悉的操作流程，例如排空液體、吊掛設備和清潔。介電液增加了採購、相容性和生命週期管理方面的要求，某些雙相流體可能還需要在環境和監管方面進行更嚴格的審查。機架標準、線材管理、儲存裝置選擇和光纖連接也可能需要重新設計。由於晶片級直接冷卻具有與主流伺服器平台高度親和性的優勢，預計浸沒式冷卻的採用將集中在那些其優勢（例如更高的密度、更低的用水量、更低的噪音、更面積或更快的部署速度）足以抵消額外操作變更的領域。

促進因素
- 伺服器整體熱密度增加
- 無水、抗氣候變遷的引入
- 整合人工智慧伺服器認證
- 擴大流體和熱力相關供應商的生態系統
抑制因子
- 伺服器保固和可維護性的限制
- 流體相容性與生命週期管理
- 兩相流體和監管複雜性
- 由於晶片直接冷卻技術帶來的競爭

第11章競爭格局

價值鏈
浸入式系統供應商
伺服器和平台整合商
介電液供應商
設施熱整合供應商
合作夥伴關係、示範和商業部署

第12章：公司簡介

GRC
Submer
Trane Technologies
Supermicro
UNICOM Engineering
Dow
ExxonMobil
Shell
SK Enmove
S-OIL
Global Standard Technology
Castrol
TotalEnergies
Boyd
Iceotope
Asperitas
Gigabyte Technology
Wiwynn

第13章附錄

簡介目錄

The AI Data Center Immersion Cooling Systems Market is estimated at USD 0.95 billion in 2026 and is projected to reach USD 4.76 billion by 2032, representing a CAGR of 30.8% during 2026-2032.

Immersion cooling changes the thermal architecture by eliminating the air gap between heat-generating electronics and the primary cooling medium. In single-phase systems, servers are submerged in a dielectric liquid that remains in liquid form while circulating through a heat exchanger. Two-phase systems use a dielectric fluid that boils at the component surface and condenses elsewhere in the enclosure, allowing heat to be transferred through phase change. Both architectures can remove heat from processors and surrounding components, reducing dependence on high-speed fans and allowing much higher compute density in a smaller physical footprint. The strongest commercial case is emerging where density, deployment speed or environmental conditions make conventional cooling difficult. AI inference and training clusters are increasingly installed in modular facilities, industrial buildings, edge locations and retrofitted data centers that may not have the floor area or air-handling infrastructure required for very high rack densities. The market remains less standardized than direct-to-chip liquid cooling. Server vendors must validate materials, connectors, drives, power supplies, cables and service procedures for continuous fluid exposure. Operators must establish processes for lifting, draining and servicing immersed hardware, while fluid suppliers must prove dielectric performance, oxidation stability, flash point, material compatibility and long-term cleanliness. The result is a market in which hardware, fluid and compute-platform qualification are tightly connected, creating higher integration content but also longer adoption cycles.

Market Drivers

AI density increases the value of whole-server heat capture. Direct-to-chip cooling primarily targets processors and other selected high-heat components, leaving residual heat from memory, power supplies, storage and networking equipment to be removed by air unless the liquid loop is extended. Immersion captures heat from most or all server components within the same fluid environment. As AI systems move toward higher total rack power and more components require active thermal management, the value of whole-server heat capture rises. This is particularly relevant for dense inference clusters, specialized accelerators and high-performance computing platforms where operators prioritize maximum compute per square metre.
Waterless and climate-resilient deployments broaden the addressable site base. Immersion systems can operate with dry coolers or other closed-loop heat-rejection equipment and do not require evaporative cooling at the rack level. This is attractive in water-constrained regions and at sites where traditional computer-room air conditioning would require major building modifications. Submer positions immersion cooling around climate resilience and dense AI deployment, while Infinium is explicitly targeting existing powered commercial and industrial facilities with waterless modular infrastructure. These use cases create demand outside the conventional hyperscale data-center footprint.
Integrated hardware qualification is improving commercial readiness. The market is moving from independent tank demonstrations toward integrated solutions involving server manufacturers, fluid suppliers and cooling vendors. ExxonMobil and Supermicro are validating NVIDIA B300-based servers with immersion fluids, while UNICOM Engineering and GRC are supplying turnkey AI and high-performance computing platforms. S-OIL demonstrations in South Korea combine graphics processing unit servers, cooling tanks, fluid and operational monitoring. Each validated reference reduces the integration burden for buyers and supports repeatable deployment rather than one-off engineering.
Strategic investment is expanding the supplier ecosystem. Large thermal-management and materials companies are entering or expanding immersion portfolios. Trane Technologies agreed to acquire LiquidStack in 2026, adding immersion cooling to a broader chiller, heat-rejection and liquid-distribution platform. Dow is commercializing dedicated single-phase immersion fluids, while energy and lubricant companies including ExxonMobil, Shell, SK Enmove and S-OIL are developing or testing dielectric products. This enlarges manufacturing capacity, service coverage and long-term fluid support, which are necessary for immersion cooling to move beyond specialist deployments.

Market Restraints

Immersion cooling faces several structural barriers that prevent it from replacing direct-to-chip cooling across most AI data centers. Server warranties and field-service procedures are not universally designed around submerged equipment, and replacing components can require draining, lifting and cleaning steps unfamiliar to conventional operators. Dielectric fluids add procurement, compatibility and lifecycle-management requirements, and some two-phase fluids face additional environmental or regulatory scrutiny. Rack standards, cable management, storage-device choices and optical connectivity may also require redesign. Direct-to-chip cooling benefits from closer alignment with mainstream server platforms, so immersion adoption is expected to concentrate where its density, water, noise, footprint or deployment-speed advantages justify the additional operational change.

Technology and Segment Insights

Single-phase immersion cooling represents the largest 2026 revenue pool because it uses fluids that remain liquid during operation and has a broader commercial supplier base across tanks, fluids, pumps and heat exchangers. GRC, Submer, LiquidStack and multiple Asian suppliers offer single-phase systems, while Dow, ExxonMobil, Shell and other materials companies are expanding compatible fluid portfolios. The architecture is easier to understand operationally than two-phase systems and can be paired with conventional facility heat-rejection loops. Single-phase immersion systems serve dense AI and high-performance computing clusters, modular facilities and waterless deployments.
Two-phase immersion cooling is expected to grow faster from a smaller base. Phase change can provide strong thermal performance with reduced pumping, making it attractive for extreme heat-flux environments. Adoption depends on working-fluid availability, environmental profile, materials compatibility, containment, fluid-loss management and server qualification. Fluid technology therefore plays a larger role in the commercial structure than in single-phase systems. Integrated modular immersion systems and factory-built deployment services are also expanding quickly because they reduce the need for site-specific tank, piping and controls engineering. Two-phase systems target extreme heat flux and highly compact compute.
By component, the market spans immersion tanks and enclosures, dielectric cooling fluids, pumps and circulation systems, heat exchangers, filtration with sensors and fluid monitoring, controls and management systems, and server adaptation with immersion-ready hardware. Immersion tanks and enclosures form the largest hardware pool. Dielectric immersion fluids are a core recurring category supporting heat transfer, electrical insulation and lifecycle reliability. Pumps, heat exchangers and controls form a core supporting layer that moves heat from the immersion bath to the facility loop. Integration and lifecycle services form a growing service layer covering server qualification, commissioning, fluid care and maintenance.
By deployment model, the market covers in-data-center immersion pods, modular and containerized immersion systems, industrial and repurposed powered sites, edge and distributed AI, and high-performance computing facilities. By customer type, demand comes from hyperscale cloud providers, neocloud and graphics-processor-cloud operators, colocation providers, sovereign AI infrastructure, and enterprise, industrial and high-performance computing users. By service, the market spans system design and integration, installation and commissioning, fluid management and testing, maintenance and lifecycle services, and server qualification and warranty support. Fluid monitoring and lifecycle management create recurring revenue beyond initial system installation.

Competitive and Strategic Outlook

The competitive landscape combines specialist immersion-cooling vendors, diversified thermal-equipment companies, server integrators and dielectric-fluid suppliers. GRC, Submer and LiquidStack are among the best-established immersion-system specialists. Trane Technologies is expanding into immersion through LiquidStack, while Supermicro and UNICOM Engineering provide server and platform integration. Vertiv and Schneider Electric participate in adjacent liquid-cooling ecosystems and can influence broader facility integration even where immersion is not their principal architecture.
Fluid competition is expanding quickly. Dow offers dedicated silicone-based immersion fluid, while ExxonMobil, Shell, SK Enmove, S-OIL and other energy or lubricant suppliers are developing or validating dielectric fluids for AI data centers. Castrol and TotalEnergies bring adjacent thermal-fluid portfolios and materials expertise. Asian system vendors, including Global Standard Technology, are also important because tank hardware, server adaptation and fluid qualification frequently occur within one regional ecosystem. Competitive advantage depends on server validation, fluid stability, materials compatibility, thermal performance, service procedures, modular scalability and the ability to support long operating lifetimes without contamination or fluid degradation.
Recent developments confirm accelerating commercialization. In September 2026, South Korean refiners expanded immersion-cooling demonstrations for AI data centers, with S-OIL, SK Enmove and other suppliers moving from fluid development into live system validation. In July 2026, Infinium Edge expanded its modular immersion-cooling model for deploying AI compute at powered commercial and industrial sites. In June 2026, Dow showcased DOWSIL ICL-1100 single-phase immersion fluid and broader AI thermal-management materials at COMPUTEX 2026. S-OIL expanded immersion-cooling validation with university and industry partners using graphics processing unit and supercomputing environments. In May 2026, S-OIL, GST, ONION Software and server partners launched an AI data-center immersion-cooling proof of concept in South Korea. In March 2026, UNICOM Engineering and GRC launched integrated immersion-cooled AI, high-performance computing and graphics-processing-unit-as-a-service platforms. In February 2026, Trane Technologies announced a definitive agreement to acquire LiquidStack and expand end-to-end data-center thermal management. In January 2026, Infinium launched the Infinium Edge immersion-cooling platform for high-density AI and high-performance computing workloads.
North America is the largest early commercial market for AI data-center immersion cooling because the United States combines a large AI infrastructure buildout with strong specialist-cooling, server and materials ecosystems. GRC has deployed immersion technology across AI, high-performance computing and enterprise environments and is expanding through integrated AI-factory partnerships. LiquidStack is headquartered in Texas and is being acquired by Trane Technologies, strengthening its ability to combine immersion tanks with chillers, heat rejection and service coverage. ExxonMobil and Supermicro are validating immersion-ready AI server configurations, while Infinium is commercializing modular waterless infrastructure aimed at distributed AI deployments.
The region is particularly attractive for use cases where power is available before purpose-built data-center space. Industrial sites, warehouses, former manufacturing facilities and modular AI campuses can use immersion cooling to increase compute density without installing large room-air systems. This aligns with a broader trend toward repurposing powered real estate for AI inference and specialized compute. Immersion also creates an option in regions where water use or mechanical-yard space constrains conventional cooling. These advantages support growth in neocloud, industrial AI and sovereign or enterprise compute alongside hyperscale experimentation.
Adoption will remain selective. Major hyperscale platforms are standardizing direct-to-chip liquid cooling around mainstream graphics processing unit rack architectures, so immersion must compete on total cost, density, deployment speed and operational simplicity rather than thermal performance alone. North American buyers are therefore expected to use immersion disproportionately in specialized high-density clusters, factory-built modular systems, edge or industrial facilities, and AI deployments where water or floor-space constraints are acute. This still creates a substantial market because the absolute volume of AI infrastructure is increasing rapidly.
Asia Pacific is a major supply and commercialization region because it combines server manufacturing, electronics integration, specialty fluids and cooling-equipment production. South Korea is particularly active through S-OIL, SK Enmove, GST and other participants testing immersion with AI servers. Europe contributes through Submer, advanced cooling engineering and sustainability-driven data-center design. The Middle East provides a greenfield opportunity where water constraints and large new AI campuses can support high-density closed-loop thermal architectures.

Conclusion

The AI data center immersion cooling systems market is positioned for rapid expansion, growing from USD 0.95 billion in 2026 to USD 4.76 billion by 2032 at a compound annual growth rate of 30.8 percent. Single-phase immersion cooling represents the largest commercial architecture, while two-phase immersion grows fastest from a smaller base. AI density growth increases demand for cooling architectures that remove nearly all server heat, and dielectric-fluid qualification is becoming a central procurement and reliability requirement. North America leads early commercialization, with Asia Pacific expanding through server manufacturing, refining, fluids and cooling-equipment ecosystems. Service procedures and component warranties remain major barriers to broad hyperscale adoption, and fluid monitoring and lifecycle management create recurring revenue beyond initial system installation. Success will depend on server validation, fluid stability, materials compatibility, modular scalability and the ability to support long operating lifetimes. Vendors that reduce integration burden through validated reference platforms and factory-built deployment models are best positioned to capture value as immersion cooling moves from specialist deployments toward broader AI infrastructure adoption.

Key Benefits of this Report

Insightful Analysis: Detailed market insights across regions, customer segments, policies, socio-economic factors, consumer preferences, and industry verticals.
Competitive Landscape: Understand strategic moves by key players to identify optimal market entry approaches.
Market Drivers and Future Trends: Assess major growth forces and emerging developments shaping the market.
Actionable Recommendations: Support strategic decisions to unlock new revenue streams.
Caters to a Wide Audience: Suitable for startups, research institutions, consultants, SMEs, and large enterprises.

What Businesses Use Our Reports For

Industry and market insights, opportunity assessment, product demand forecasting, market entry strategy, geographical expansion, capital investment decisions, regulatory analysis, new product development, and competitive intelligence.

Report Coverage

Historical data from 2021 to 2024, Base year 2025, and Forecast years from 2026 to 2032
Growth opportunities, challenges, supply chain outlook, regulatory framework, and trend analysis
Competitive positioning, strategies, and market share evaluation, and trade analysis
Revenue growth and forecast assessment across segments and regions
Company profiling including strategies, products, financials, and key developments

1. Executive Summary

1.1. Market Opportunity and Key Findings
1.2. Immersion Cooling Commercialization Timeline
1.3. Principal Revenue Pools

2. Market Overview

2.1. AI Heat Density and Whole-Server Cooling
2.2. Single-Phase and Two-Phase Architectures
2.3. Dielectric Fluids and Material Compatibility
2.4. Server Qualification and Serviceability
2.5. Facility Integration and Heat Rejection

3. Market Size and Forecast, 2026-2032

3.1. Global Market Revenue
3.2. Annual Growth Analysis
3.3. Installed Immersion-Cooled IT Capacity
3.4. Revenue per MW and System Content

4. Market by Cooling Architecture

4.1. Single-Phase Immersion Cooling
4.2. Two-Phase Immersion Cooling
4.3. Hybrid Immersion and Direct-Liquid Architectures

5. Market by Component

5.1. Immersion Tanks and Enclosures
5.2. Dielectric Cooling Fluids
5.3. Pumps and Circulation Systems
5.4. Heat Exchangers
5.5. Filtration, Sensors and Fluid Monitoring
5.6. Controls and Management Systems
5.7. Server Adaptation and Immersion-Ready Hardware

6. Market by Deployment Model

6.1. In-Data-Center Immersion Pods
6.2. Modular / Containerized Immersion Systems
6.3. Industrial and Repurposed Powered Sites
6.4. Edge and Distributed AI
6.5. High-Performance Computing Facilities

7. Market by Customer Type

7.1. Hyperscale Cloud Providers
7.2. Neocloud and GPU-Cloud Operators
7.3. Colocation Providers
7.4. Sovereign AI Infrastructure
7.5. Enterprise, Industrial and HPC Users

8. Market by Service

8.1. System Design and Integration
8.2. Installation and Commissioning
8.3. Fluid Management and Testing
8.4. Maintenance and Lifecycle Services
8.5. Server Qualification and Warranty Support

9. Regional Market

9.1. North America
- 9.1.1. United States
- 9.1.2. Canada
9.2. Europe
9.3. Asia Pacific
9.4. Middle East and Rest of World

10. Market Dynamics

10.1. Drivers
- 10.1.1. Growth in Whole-Server Heat Density
- 10.1.2. Waterless and Climate-Resilient Deployment
- 10.1.3. Integrated AI Server Qualification
- 10.1.4. Expansion of Fluids and Thermal Supplier Ecosystem
10.2. Restraints
- 10.2.1. Server Warranty and Serviceability Constraints
- 10.2.2. Fluid Compatibility and Lifecycle Management
- 10.2.3. Two-Phase Fluid and Regulatory Complexity
- 10.2.4. Competition from Direct-to-Chip Cooling