Liquid-Cooled Connectors for AI Servers Market Research Report: Sales, Volume, Revenue and Players Analysis 2026

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Global Info Research‘s report is a detailed and comprehensive analysis for global Liquid-Cooled Connectors for AI Servers market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the Liquid-Cooled Connectors for AI Servers market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

According to our (Global Info Research) latest study, the global Liquid-Cooled Connectors for AI Servers market size was valued at US$ 168 million in 2024 and is forecast to a readjusted size of USD 1120 million by 2031 with a CAGR of 30.8% during review period.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
AI server liquid cooling connectors serve as critical connection devices within AI server liquid cooling systems, ensuring the safe transfer and rapid on/off switching of cooling media—such as deionized water, ethylene glycol solutions, and fluorinated fluids—between AI servers and cooling circuits. They must meet stringent requirements for high gas tightness (single insertion/removal leakage ≤0.02ml), high pressure resistance (3-5MPa), strong shock resistance (withstands 20G impact vibration), and corrosion resistance. Designed for AI servers' high-power, high-heat, and high-vibration operating environments, these connectors ensure leak-free circulation of cooling media, efficiently dissipating heat from core components like CPUs and GPUs.
Global sales of liquid-cooled connectors for AI servers reached 508,700 units in 2024, with an average selling price of .13 per unit.
Primary Application Areas
Core Scenarios: AI large-model training servers, inference servers, and high-power-density equipment with single GPU server power consumption exceeding 10kW.
Typical Users: Internet technology companies (Alibaba, ByteDance, Tencent), AI chip manufacturers' supporting servers (NVIDIA, Huawei Ascend), cloud computing data centers, and computing power hub nodes.
Extended Scenarios: Edge computing AI servers, cooling loops for energy storage systems supporting AI training clusters.
Development Trends
Smart Monitoring Upgrades: Integrating IoT sensing capabilities to monitor connection status, medium temperature, and pressure in real time, enhancing AI server operational efficiency.
Standardization Collaboration: Advancing industry standardization through the ODCC platform to improve interchangeability between different brands of AI servers and connectors.
Deepening Scenario Customization: Develop specialized connectors for diverse liquid cooling solutions (e.g., immersion, cold plate) to accommodate differentiated thermal management requirements.
Performance Breakthroughs: Evolve toward higher pressure resistance (exceeding 5MPa), lower leakage rates (<0.01ml per insertion/removal cycle), and extended lifespan (≥10,000 insertion/removal cycles).
Upstream Drivers: Enhanced performance of raw materials like copper alloys, engineering plastics, and high-precision seals ensures product sealing integrity and longevity. Advances in precision machining and injection molding reduce production costs while improving product consistency.
Downstream Drivers: AI server power consumption continues to surge (exceeding 50kW per cabinet), demanding upgraded thermal efficiency and compelling connector performance iterations. The “East Data, West Computing” initiative accelerates AI computing cluster deployment in data centers, directly driving demand.
This report is a detailed and comprehensive analysis for global Liquid-Cooled Connectors for AI Servers market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.


Market segment by Type: Blind-mate Coupler Type、 Universal Quick-Release Type
Market segment by Application:Training Server、 Inference Server
Major players covered: Parker Hannifin、 Danfoss、 CEJN、 Staubli、 Colder Product Company (CPC)、 Koolance、 Envicool、 JONHON、 Yonggui Company、 General Connectivity System、 Sitelin Hydraulic Manufacturing (Ningbo)、 Qiangrui Technology、 KRES、 Best Technology、 BEEHE Electric、 LangAn (Tianjin)Technology、 VESECONN

To Get More Details About This Study, Please Click Here: https://www.globalinforesearch.com/reports/3336775/liquid-cooled-connectors-for-ai-servers

The overall report focuses on primary sections such as – market segments, market outlook, competitive landscape, and company profiles. The segments provide details in terms of various perspectives such as end-use industry, product or service type, and any other relevant segmentation as per the market’s current scenario which includes various aspects to perform further marketing activity. The market outlook section gives a detailed analysis of market evolution, growth drivers, restraints, opportunities, and challenges, Porter’s 5 Force’s Framework, macroeconomic analysis, value chain analysis and pricing analysis that directly shape the market at present and over the forecasted period. The drivers and restraints cover the internal factors of the market whereas opportunities and challenges are the external factors that are affecting the market. The market outlook section also gives an indication of the trends influencing new business development and investment opportunities.

The Primary Objectives in This Report determine the size of the total market opportunity of global and key countries,assess the growth potential for Liquid-Cooled Connectors for AI Servers and competitive factors affecting the marketplace,forecast future growth in each product and end-use market. Also,this report profiles key players in the global Liquid-Cooled Connectors for AI Servers market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments.

Liquid-Cooled Connectors for AI Servers market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by region, regional analysis covers North America (United States, Canada, and Mexico),Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe),Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),South America (Brazil, Argentina, Colombia, and Rest of South America),Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).

The report provides insights regarding the lucrative opportunities in the Liquid-Cooled Connectors for AI Servers Market at the country level. The report also includes a precise cost, segments, trends, region, and commercial development of the major key players globally for the projected period.

The Liquid-Cooled Connectors for AI Servers Market report comprehensively examines market structure and competitive dynamics. Researching the Liquid-Cooled Connectors for AI Servers market entails a structured approach beginning with clearly defined objectives and a comprehensive literature review to understand the current landscape. Methodologies involve a mix of primary research through interviews, surveys, and secondary research from industry reports and databases. Sampling strategies ensure representation, while data analysis utilizes statistical and analytical techniques to identify trends, market sizing, and competitive landscapes. Key areas of focus include trend analysis, risk assessment, and forecasting. Findings are synthesized into a detailed report, validated through peer review or expert consultation, and disseminated to stakeholders, with ongoing monitoring to stay abreast of developments.

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