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市場調查報告書
商品編碼
1946071
全球晶片級液冷市場:預測(至2034年)-按冷卻技術、組件、系統類型、冷卻架構、最終用戶和地區進行分析Direct-to-Chip Liquid Cooling Market Forecasts to 2034 - Global Analysis By Cooling Technology, Component, System Type, Cooling Architecture, End User and By Geography |
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根據 Stratistics MRC 的研究,預計到 2026 年,全球直接晶片液冷市場規模將達到 29 億美元,並在預測期內以 21.7% 的複合年成長率成長,到 2034 年將達到 139.6 億美元。
晶片級液冷是一種先進的溫度控管技術,廣泛應用於資料中心和高效能運算系統。它直接向CPU、GPU和加速器等發熱組件表面輸送冷卻液。安裝在晶片上的冷板循環冷卻液,有效地從源頭吸收熱量,顯著降低熱阻。與傳統的空氣冷卻方式相比,此方法能夠提高冷卻效率、提升功率密度、降低能耗,並實現更緊湊的系統設計。
永續性和節水
隨著全球數位基礎設施的擴展,資料中心營運商越來越需要減少用水量和碳排放。與傳統的風冷相比,晶片級液冷系統具有顯著更高的熱效率,從而大幅降低水和能源消耗。這些系統能夠在保持最佳動作溫度的同時提高機架密度,並支援資料中心的永續擴展。法規結構和企業ESG(環境、社會和管治)措施進一步加速了高效冷卻技術的應用。冷卻劑配方和熱交換器設計的進步正在提高系統的可靠性和環境性能。隨著超大規模和託管資料中心追求更環保的營運模式,以永續性發展為導向的投資將繼續推動市場成長。
維修的複雜性
許多現有資料中心的設計都基於風冷架構,因此整合液冷系統是一項技術挑戰。維修通常需要更改伺服器硬體、管道基礎設施和設施佈局,從而增加實施時間和成本。安裝期間的停機時間可能會阻礙資料中心營運商採用這些系統。與現有IT設備的兼容性問題進一步加劇了決策的複雜性。確保安全高效的維修需要熟練的技術人員和專業的工程技術。因此,儘管液冷系統具有長期的效率提升優勢,但一些業者仍在推遲採用。
兩相冷卻技術的進步
與單相冷卻方案相比,雙相冷卻系統利用相變機制來實現更高的傳熱效率。這些創新技術能夠有效冷卻人工智慧、高效能運算和進階分析工作負載中使用的高功率晶片。更高的可靠性、更低的泵浦能耗和緊湊的系統設計正吸引業界的目光。持續的研發工作致力於解決流體穩定性和系統控制方面的挑戰。隨著晶片功率密度的不斷提高,雙相冷卻正成為新一代資料中心越來越有吸引力的選擇。這些進步有望推動其在超大規模和企業級環境中更廣泛的應用。
與浸沒式冷卻的競爭
浸沒式冷卻透過將整個伺服器浸入介電液體中,實現全面的溫度控管。這種方法具有極高的冷卻效率,並簡化了超高密度計算工作負載的散熱。一些資料中心營運商更傾向於採用浸沒式冷卻,因為它能夠降低基礎設施的複雜性。技術的快速進步和成本的下降正在鞏固浸沒式冷卻的市場地位。供應商正積極推廣用於人工智慧和加密貨幣挖礦應用的浸沒式解決方案。這種競爭格局可能會在某些應用情境下限制直接晶片冷卻系統的市佔率成長。
新冠疫情對晶片級液冷市場產生了複雜的影響。疫情初期,全球供應鏈受到衝擊,導致組件製造和系統部署延誤。勞動力限制和物流挑戰也暫時延緩了資料中心的建置進度。然而,雲端運算、遠距辦公和數位服務的激增顯著提升了對資料中心容量的需求。數位化的快速推進進一步凸顯了高效能溫度控管方案的重要性。業者已開始優先考慮容錯性和節能型冷卻系統,以保障業務的持續運作。疫情後的復甦策略強調採用自動化、高效且可擴展的液冷方案。
在預測期內,單相直接晶片系統細分市場預計將佔據最大的市場佔有率。
由於其久經考驗的可靠性和相對簡單的系統配置,單相直接晶片冷卻系統預計將在預測期內佔據最大的市場佔有率。與更複雜的冷卻技術相比,單相解決方案更容易整合到現有的伺服器設計中。它們在保持運作穩定性的同時,還能有效散發高效能處理器所產生的熱量。較低的初始成本和更少的維護需求正在推動其進一步普及。這些系統非常適合尋求效率提升的超大規模和企業級資料中心。冷板設計和冷卻液性能的持續改進將進一步鞏固該領域的領先地位。
在預測期內,人工智慧/機器學習工作負載細分市場預計將呈現最高的複合年成長率。
在預測期內,人工智慧/機器學習工作負載領域預計將呈現最高的成長率。人工智慧和機器學習應用的快速擴張正推動晶片功率密度以前所未有的速度成長。為了應對GPU和加速器產生的高熱負荷,晶片級液冷技術的應用正在不斷擴展。這些工作負載需要穩定的性能和低延遲,而高效的冷卻系統有助於確保這一點。生成式人工智慧、深度學習和即時分析的快速發展進一步加速了這一需求。超大規模雲端服務供應商正在大力投資液冷技術,以支援其人工智慧叢集。
在預測期內,北美預計將佔據最大的市場佔有率。該地區受益於超大規模資料中心和雲端服務供應商的高度集中。對人工智慧、高效能運算和數位基礎設施的大力投資正在推動先進冷卻技術的應用。領先的技術供應商和冷卻解決方案供應商的存在正在支援技術的快速商業化。監管機構對能源效率的關注正在加速永續冷卻技術的應用。美國和加拿大的企業是創新溫度控管系統的早期採用者。
在預測期內,亞太地區預計將呈現最高的複合年成長率。快速的數位化和雲端運算的廣泛應用正在推動全部區域大規模資料中心的建設。中國、印度、日本和新加坡等國家正大力投資高密度運算基礎建設。人工智慧的日益普及和5G的擴展提高了溫度控管的要求。政府為推廣節能型資料中心所採取的措施也促進了液冷技術的應用。本地製造能力的提升也提高了系統的可用性和成本競爭力。
According to Stratistics MRC, the Global Direct-to-Chip Liquid Cooling Market is accounted for $2.90 billion in 2026 and is expected to reach $13.96 billion by 2034 growing at a CAGR of 21.7% during the forecast period. Direct-to-Chip Liquid Cooling is an advanced thermal management technique used in data centers and high-performance computing systems, where liquid coolant is delivered directly to the surface of heat-generating components such as CPUs, GPUs, and accelerators. Cold plates mounted on the chips circulate liquid to absorb heat efficiently at the source, significantly reducing thermal resistance. This approach improves cooling efficiency, supports higher power densities, lowers energy consumption, and enables more compact system designs compared to traditional air-based cooling methods.
Sustainability & water conservation
Data center operators are under increasing pressure to reduce water usage and carbon footprints as digital infrastructure expands globally. Direct-to-chip liquid cooling systems significantly improve thermal efficiency compared to traditional air cooling, enabling substantial reductions in water and energy consumption. These systems allow higher rack densities while maintaining optimal operating temperatures, supporting sustainable scaling of data centers. Regulatory frameworks and corporate ESG commitments are further accelerating adoption of efficient cooling technologies. Advances in coolant formulations and heat exchanger designs are enhancing system reliability and environmental performance. As hyperscale and colocation data centers pursue greener operations, sustainability-driven investments continue to propel market growth.
Complexity of retrofitting
Many legacy facilities were designed around air-cooling architectures, making integration of liquid cooling systems technically challenging. Retrofitting often requires modifications to server hardware, piping infrastructure, and facility layouts, increasing implementation time and costs. Operational disruptions during installation can deter data center operators from adopting these systems. Compatibility issues with existing IT equipment further complicate deployment decisions. Skilled labor and specialized engineering expertise are required to ensure safe and efficient retrofits. As a result, some operators delay adoption despite the long-term efficiency benefits.
Advancements in two-phase cooling
Two-phase systems leverage phase-change mechanisms to achieve superior heat transfer efficiency compared to single-phase solutions. These innovations enable effective cooling of high-power chips used in AI, HPC, and advanced analytics workloads. Improved reliability, reduced pumping energy, and compact system designs are increasing industry interest. Ongoing R&D is also addressing challenges related to fluid stability and system control. As chip power densities continue to rise, two-phase cooling is becoming increasingly attractive for next-generation data centers. These advancements are expected to expand adoption across hyperscale and enterprise environments.
Competition from immersion cooling
Immersion cooling offers comprehensive thermal management by submerging entire servers in dielectric fluids. This approach delivers high cooling efficiency and simplifies heat removal for extremely dense computing workloads. Some data center operators prefer immersion cooling due to its potential for reduced infrastructure complexity. Rapid innovation and declining costs are strengthening immersion cooling's market position. Vendors are actively promoting immersion solutions for AI and cryptocurrency mining applications. This competitive landscape may limit market share growth for direct-to-chip systems in certain use cases.
The COVID-19 pandemic had a mixed impact on the direct-to-chip liquid cooling market. Initial disruptions affected global supply chains, delaying component manufacturing and system deployments. Data center construction timelines were temporarily slowed due to workforce restrictions and logistical challenges. However, the surge in cloud computing, remote work, and digital services significantly increased demand for data center capacity. This rapid digital acceleration intensified the need for efficient thermal management solutions. Operators began prioritizing resilient and energy-efficient cooling systems to support continuous operations. Post-pandemic recovery strategies now emphasize automation, efficiency, and scalable liquid cooling adoption.
The single-phase direct-to-chip systems segment is expected to be the largest during the forecast period
The single-phase direct-to-chip systems segment is expected to account for the largest market share during the forecast period, due to its proven reliability and relatively simpler system architecture. Single-phase solutions are easier to integrate with existing server designs compared to more complex cooling technologies. They offer effective heat removal for high-performance processors while maintaining operational stability. Lower initial costs and reduced maintenance requirements further support widespread adoption. These systems are well suited for hyperscale and enterprise data centers seeking incremental efficiency gains. Continuous improvements in cold plate design and coolant performance reinforce segment dominance.
The AI/ML workloads segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the AI/ML workloads segment is predicted to witness the highest growth rate. Rapid expansion of artificial intelligence and machine learning applications is driving unprecedented increases in chip power density. Direct-to-chip liquid cooling is increasingly adopted to manage the intense thermal loads generated by GPUs and accelerators. These workloads require consistent performance and low latency, which efficient cooling systems help ensure. Growth in generative AI, deep learning, and real-time analytics is further accelerating demand. Hyperscale cloud providers are investing heavily in liquid cooling to support AI clusters.
During the forecast period, the North America region is expected to hold the largest market share. The region benefits from a high concentration of hyperscale data centers and cloud service providers. Strong investments in AI, HPC, and digital infrastructure are driving advanced cooling adoption. The presence of leading technology vendors and cooling solution providers supports rapid commercialization. Regulatory focus on energy efficiency is encouraging deployment of sustainable cooling technologies. Enterprises in the U.S. and Canada are early adopters of innovative thermal management systems.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid digitalization and expanding cloud adoption are fueling large-scale data center construction across the region. Countries such as China, India, Japan, and Singapore are investing heavily in high-density computing infrastructure. Rising AI deployment and 5G expansion are increasing thermal management requirements. Government initiatives promoting energy-efficient data centers are supporting liquid cooling adoption. Local manufacturing capabilities are also improving system availability and cost competitiveness.
Key players in the market
Some of the key players in Direct-to-Chip Liquid Cooling Market include Asetek, Lenovo, CoolIT Systems, Dell Technologies, ZutaCore, Supermicro, LiquidStack, Hewlett Packard Enterprise (HPE), Submer, Advanced Micro Devices (AMD), Schneider Electric, Fujitsu, Vertiv, JetCool Technologies, and Iceotope Technologies.
In January 2026, Lenovo unveiled the Lenovo AI Cloud Gigafactory with NVIDIA, expanding and reinforcing its partnership with NVIDIA through a shared commitment to accelerating hybrid AI adoption across personal, enterprise and public AI platforms. Lenovo Chairman and CEO Yuanqing Yang, joined by NVIDIA founder and CEO Jensen Huang, debuted this new gigawatt-scale AI factory program as a major advancement that enables AI cloud providers to bring next generation AI workloads and applications online faster.
In January 2026, Dell Technologies is collaborating with AI Singapore to enhance its SEA-LION family of open-source large language models (LLMs). The organizations are testing and validating SEA-LION models across various Dell AI PCs and edge infrastructure, supporting AISG's efforts towards building models that are resource-efficient and deployable on lightweight setups.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.