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Data Center Thermal Management Market worth $32.38 billion by 2032 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Aug. 6, 2026 /PRNewswire/ — According to MarketsandMarkets™, the Data Center Thermal Management Market is projected to grow from USD 13.24 billion in 2026 to USD 32.38 billion by 2032, at a CAGR of 16.1% during the forecast period. Key drivers of the data center thermal management market are rising rack power densities, growing adoption of liquid cooling technologies in data centers, expansion of hyperscale and AI data centers, and growing demand for energy-efficient cooling solutions. 

Browse 250 market data Tables and 70 Figures spread through 300 Pages and in-depth TOC on “Data Center Thermal Management Market – Global Forecast to 2032”

Data Center Thermal Management Market Size & Forecast:

Market Size Available for Years: 2021-20322026 Market Size: USD 13.24 billion2032 Projected Market Size: USD 32.38 billionCAGR (2026-2032): 16.1%

Data Center Thermal Management Market Trends & Insights:

Data center thermal management encompasses a variety of technologies, equipment, and services designed to maintain a stable temperature and effectively expel heat from data center environments. There are numerous air-based cooling solutions, such as Computer Room Air Conditioners (CRACs), Computer Room Air Handlers (CRAHs), precision cooling systems, chillers, cooling towers, and various airflow management systems. Additionally, there are more advanced liquid cooling methods, including direct-to-chip cooling, immersion cooling, rear-door heat exchangers, coolant distribution units, and heat exchangers, along with pumps and manifolds that form a network for liquid distribution. Recently, as AI-enabled data centers have led to higher rack densities, there has been a notable shift from traditional air-cooling systems toward liquid cooling solutions. This change is primarily because liquid cooling provides superior heat transfer efficiency and better accommodates high-density computing setups, reducing the challenges associated with conventional air cooling.North America is the fastest-growing region, in terms of value, with a CAGR of 18.6% during the forecast period.Liquid cooling systems accounted for the largest share of 30.4% in terms of value in 2025.Room-based cooling is expected to lead the data center thermal management market during the forecast period.Hyperscale data centers are the largest segment of the data center thermal management market, accounting for 44.2% of the market by value in 2025.BFSI is the largest segment, in terms of value; it is estimated to have accounted for 20.4% in 2025.Vertiv Group Corp., Johnson Controls, and Schneider Electric were identified as key players in the data center thermal management market, given their strong market share and product footprint.CoolCentric and Iceotope Precision Liquid Cooling are among the startups and SMEs securing a strong foothold in specialized niche areas, underscoring their potential as emerging market leaders.

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By component, the liquid cooling systems are expected to dominate the global market throughout the forecast period.

The liquid cooling systems segment is projected to lead the global data center thermal management industry during the forecast period. This growth is largely driven by the rapid increase in workloads related to artificial intelligence (AI), high-performance computing (HPC), and cloud computing, which require significantly higher cooling capacities than traditional air-based solutions can provide. Modern processors and AI accelerators generate more heat than earlier technologies, making liquid cooling technologies such as direct-to-chip, immersion cooling, and liquid-to-liquid cooling systems essential for maintaining optimal operating temperatures, enhancing server performance, and ensuring long-term equipment reliability. These systems offer superior heat transfer capabilities, enabling efficient cooling for high-density racks and aligning with next-generation computing infrastructure.

Additionally, the widespread growth of hyperscale and colocation data centers is further strengthening the market for liquid cooling. Major cloud providers like Amazon Web Services (AWS), Microsoft, Google, Meta, and Oracle are increasingly developing AI-ready facilities where rack power densities often exceed 50–100 kW. In these scenarios, traditional air cooling proves to be ineffective. Liquid cooling solutions not only facilitate the proper operation of these high-density setups but also reduce cooling energy consumption, improve Power Usage Effectiveness (PUE), and allow operators to increase server utilization. Consequently, many operators are incorporating liquid cooling into new data center builds and upgrading existing sites to meet the rising demands of computational workloads.

By data center type, hyperscale data centers are expected to lead the global data center thermal management market during the forecast period.

The hyperscale data center segment is expected to lead the global data center thermal management market during the forecast period. This growth is primarily driven by the rapid expansion of hyperscale cloud infrastructure, alongside increasing demands from artificial intelligence workloads, high-performance computing, and extensive colocation facilities. In these large data centers, thousands of servers, storage systems, networking equipment, and various AI accelerators operate continuously, which leads to significant heat buildup. Therefore, there is a critical need for highly efficient thermal management systems to maintain consistent performance and reliability.

As enterprises and cloud providers continue to shift more workloads to larger facilities, spending on advanced cooling infrastructure is markedly increasing. To manage high-density computing environments, operators are implementing comprehensive thermal management solutions such as direct-to-chip liquid cooling, immersion cooling, computer room air conditioners (CRACs), computer room air handlers (CRAHs), coolant distribution units (CDUs), precision cooling systems, chillers, heat exchangers, cooling towers, smarter airflow management systems, and AI-powered thermal monitoring platforms. These technologies effectively remove heat, enhance cooling efficiency, reduce energy consumption, and support rack power densities exceeding 100 kW. Consequently, such solutions are becoming essential for next-generation AI-ready data centers.             

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By technology, liquid cooling is expected to lead the global data center thermal management market during the forecast period.

Liquid cooling segment is expected to dominate the global data center thermal management market during the forecast period, mainly because more people are using AI, high performance computing, cloud computing, and edge computing, all of which need a lot more cooling capability than air cooling can reasonably deliver. With the fast rollout of power-hungry processors, GPUs, and AI accelerators, rack power densities are climbing quite a bit, so liquid cooling becomes the go-to approach for getting rid of heat effectively while keeping server performance stable and reliability in check. Compared with air cooling, liquid solutions can move heat better, which helps computing density upward with less energy waste.

Also, the continual expansion of hyperscale and colocation data centers is quietly but steadily reinforcing this lead. Big cloud players like Amazon Web Services (AWS), Microsoft, Google, Meta, and Oracle are putting serious money into AI-ready campuses that use high density server racks, and in many cases those racks go beyond 50–100 kW per rack. To handle these advanced setups, liquid cooling methods such as direct-to-chip cooling, immersion cooling, and rear-door heat exchangers deliver the cooling performance needed, while also cutting the power spent on cooling tasks and helping improve Power Usage Effectiveness (PUE). So, liquid cooling is both in new greenfield builds and in retrofit projects, where older facilities are upgraded to keep pace with newer workloads.

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The North America region is poised to lead the global data center thermal management market throughout the forecast period.

North America is expected to lead the global data center thermal management market during the forecast period due to several factors. The region has a well-established digital infrastructure, a high concentration of hyperscale data centers, and rapidly increasing investments in artificial intelligence (AI), cloud computing, and high-performance computing (HPC). Major cloud service providers, along with tech giants such as Amazon Web Services (AWS), Microsoft, Google, Meta, Oracle, and CoreWeave, are based here. These companies are continually expanding their AI-ready data center capacity to meet the growing demand for computational workloads.

As GPU-heavy AI clusters and high-density server racks become more common, the need for effective cooling solutions has significantly increased. Consequently, there is a steady demand for advanced thermal management solutions. North America is also an early adopter of next-generation cooling technologies, such as direct-to-chip liquid cooling, immersion cooling, precision cooling systems, computer room air conditioners (CRACs), computer room air handlers (CRAHs), coolant distribution units (CDUs), heat exchangers, smarter airflow management systems, and AI-enabled thermal monitoring platforms.

These innovative approaches help operators manage high heat loads more effectively, enhance overall reliability, reduce energy consumption, and improve Power Usage Effectiveness (PUE). Overall, these thermal management solutions are essential for today’s AI and cloud data centers, especially where efficiency and control are crucial.

Key Players                   

Some of the leading players in data center thermal management companies include Vertiv Group Corp (US), Johnson Controls, Inc. (US), Schneider Electric (France), Carrier (US), and Daikin Industries Ltd. (Japan), among others.

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Tripo AI Releases Latest Model Tripo P2.0, Advancing AI 3D Generation with Production-Ready Assets

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SAN FRANCISCO, Sept. 21, 2026 /PRNewswire/ — Tripo AI unveiled Tripo P2.0, its latest 3D-native foundation model enabling high-fidelity 3D assets generation with quad topology, marking a major breakthrough in generative 3D.

As an upgrade from Tripo Smart Mesh P1.0, P2.0 brings native quad mesh generation, a first for the AI 3D industry, representing a major advance in AI-powered 3D content creation. The model allows 3D creators to move AI-generated 3D content seamlessly into production, addressing one of the longstanding challenges in AI 3D generation.

Following the release of P2.0 Preview in August, the official launch of P2.0 added two new features: multiple versions generation per prompt and Mesh Edit. The model makes it easier than ever for creators to edit, rig, animate and integrate AI generated characters and props into production pipelines.

“Topology has been the wall between AI-generated 3D and real production: game and film pipelines are built on quad meshes, and until now AI got there only through slow, unstable retopology. P2.0 can quickly generate quad-dominant meshes natively, with clean part separation and the edge flow an artist would lay out manually. Production-ready is today’s bar; the longer-term goal for Tripo is to build models that understand, generate and interact with 3D environments,” says Dr. Yanpei Cao, Chief Scientist of Tripo AI.

The model supports both triangle- and quad-based 3D assets generation, offering up to 50,000 faces for triangle topology and up to 25,000 faces for quad topology. With one single prompt, P2.0 allows generation of a maximum of four versions of the same asset with different face counts, giving creators greater flexibility to produce assets with varying levels of complexity and details.

The newly added Mesh Edit feature gives creators direct control over the result. They can select and regenerate any region of a mesh without altering the rest of the asset. Instead of regenerating the whole asset and hoping for a better outcome, creators can refine the asset more precisely, step by step.

The model offers front, back, left and right views of the generated assets, allowing them to closely match users’ intentions.

P2.0 also supports Smart UV which enables creators to unwrap 3D assets into a 2D layout with a single click, making it easier for texturing and further editing.

Designed for games and interactive experiences, Smart Mesh P2.0 helps 3D artists, technical artists and game developers create assets ready for production. It is particularly well suited to generating game characters, hard surface objects such as vehicles, props and buildings, as well as creating 3D assets at scale.

About Tripo AI

Tripo AI is a global leader in the development of 3D-native foundation models and world models. Founded in 2023 by leading scientists in AI and computer graphics, the company has developed a comprehensive end-to-end product ecosystem, built around its proprietary 3D-native foundation models and world models. With Tripo Studio and Tripo API, Tripo AI has transformed 3D generation. Powered by a world-class AI 3D research team, the company is advancing AI toward understanding, generating, and interacting with 3D environments.

Tripo AI’s models and products have been widely adopted by individual users and enterprises globally, serving industries including intelligent manufacturing, virtual reality, interactive entertainment, and embodied AI, empowering enterprises to unlock new productivity and scale applications of generative 3D.

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Xinhua Silk Road: Chinese solutions for meteorological early-warning help more countries tackle climate challenges

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BEIJING, Sept. 21, 2026 /CNW/ — For millennia, as her believers believe, the traditional Chinese sea goddess Mazu has been blessing safe voyages. Now, Chinese meteorological early-warning solutions named after her are helping more countries prevent meteorological disasters.

“MAZU”, released by the China Meteorological Administration at the 2025 World Artificial Intelligence Conference (WAIC), is a set of China’s homegrown AI-enabled meteorological solutions featuring universal multi-hazard early warning, alerting and zero-gap coverage.

Supporting cloud-based trials in more than 40 countries, “MAZU” has been applied in countries including Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia and Djibouti, rapidly expanding its global presence.

As the first set of solutions under the UN Early Warnings for All initiative, “MAZU” integrates AI-based meteorological early-warning models, Fengyun meteorological satellite data, multi-source monitoring products and cloud computing power.

In May this year, “MAZU” was recommended by the World Meteorological Organization at the 11th Multi-Stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals held at UN headquarters in New York.

Unsurprisingly, “MAZU” caters to the demand for both menu-style solution offerings and highly flexible customized solutions to help relevant countries prevent meteorological disasters caused by climate change.

In Pakistan, where monsoons and rainstorms usually cause torrential floods, an early-warning system co-developed by China and Pakistan was formally embedded in relevant platforms of Pakistan’s meteorological authority.

In Ethiopia, Chinese experts leveraged the integration of data from China’s Fengyun meteorological satellites and local meteorological stations to help local weather forecasters generate high-precision nowcasts via the Fenglei and Fengqing AI models.

In Sri Lanka, the meteorological bureau of southeast China’s Fujian Province is assisting the country in achieving high spatiotemporal resolution precipitation and temperature forecasting.

Apart from the application cases of “MAZU”, nearly 1,000 people from more than 100 developing countries and regions have come to China to receive technology training focused on early warning.

As China is a crucial partner of the Early Warnings for All initiative, its platforms, satellites and AI models have helped dozens of countries enhance their early-warning capacities, noted UN Secretary-General Antonio Guterres at the 2026 WAIC.

Such a mode of cooperation, involving technology transfer, joint R&D and local capacity building to help developing countries better protect their people, is exactly what the world needs now, added Guterres.

Original link: https://en.imsilkroad.com/p/352292.html

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Xinhua Silk Road: “My City, My Home” global visual submission campaign kicks off in Fuzhou for World Cities Day

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BEIJING, Sept. 21, 2026 /PRNewswire/ — A global call for “My City, My Home” visual submission campaign for the upcoming World Cities Day has officially kicked off in Fuzhou, southeast China’s Fujian Province, inviting people around the world to submit photos and short videos to share stories of urban development.

World Cities Day, celebrated annually on October 31 since 2014, is the first UN-designated international day dedicated to cities. Fuzhou will host the Global Observance of World Cities Day 2026.

As part of the Observance, the “My City, My Home” campaign aims to enhance the global influence of World Cities Day, encourage greater public participation, and promote the concept of sustainable urban development through a campaign open to everyone.

According to the announcement for the campaign, individuals, families, communities, schools, social organizations and other groups are all welcome to participate. The submissions should closely reflect the annual theme of this year’s World Cities Day — Regenerating the City: Adequate Housing for All.

Participants should form a square frame with the thumbs and index fingers of both hands to frame scenes that showcase the livability and renewal of their cities, and then take photos or short videos. This signature gesture symbolizes houses that shelter people, evokes the outline of early walled cities, and represents a perspective through which to capture the beauty of cities.

Participants are encouraged to start their videos with opening lines such as “This is my city”. They are also encouraged to include in their photos and videos an introduction to the city and the filming location, the reasons why the selected scene reflects urban regeneration or livability, and personal stories related to the city.

The submission period runs from the date of publication until 11:59 p.m. on October 14 (Beijing Time). Photos and videos may be submitted via Douyin or to the designated email address Mycitymyhome@outlook.com .

Photos and videos may be submitted in either 9:16 vertical or 16:9 horizontal format. Each video should be at least 5 seconds long.

Outstanding submissions will be selected for inclusion in the official campaign video, which will be presented at the opening ceremony of the Global Observance of World Cities Day 2026 in Fuzhou on October 31.

Original link: https://en.imsilkroad.com/p/352298.html

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