Modular AI Racks Market Size, Share, Growth and Forecast (2026 - 2036)

Modular AI Racks Market Overview, Growth Outlook, and Forecast By Fact.MR

• Global Modular AI Racks market revenue stood at USD 11.8 Bn in 2025 and is forecast to reach USD 32.7 Bn by 2036.
• At 9.7% CAGR from 2026 to 2036, this market is set to expand ~0.4x in value, adding USD 19.7 Bn in absolute opportunity.

Summary of Modular AI Racks Market

• Market Snapshot
  • In 2025, the global Modular AI Racks Market was valued at approximately USD 11.8 billion.
  • The market is estimated to reach around USD 12.9 billion in 2026 and is projected to attain nearly USD 32.7 billion by 2036.
  • The Modular AI Racks Market is expected to expand at a CAGR of approximately 9.7% during the forecast period.
  • The market is anticipated to create an absolute dollar opportunity of approximately USD 19.7 billion between 2026 and 2036.
  • High-Density GPU Racks dominate the rack type segment with a share of approximately 30.8% in 2026, driven by increasing deployment of AI training clusters and GPU-intensive workloads.
  • Air-Cooled Systems dominate the cooling technology segment with a share of approximately 44.7% in 2026, supported by widespread use in existing data centers and cost-effective deployment for medium-density AI workloads.
  • Hyperscale Data Centers lead the deployment type segment with a share of around 38.7% in 2026, owing to large-scale AI infrastructure investments by cloud providers.
  • High Density (30–100kW) dominates the power density segment with a share of approximately 30.6% in 2026, reflecting the transition phase toward more power-intensive AI workloads.
  • China with 10.5% and the United Kingdom having 10.6% are the key growth markets during the forecast period, supported by rapid AI adoption and expansion of hyperscale infrastructure.
• Demand and Growth Drivers
  • The demand of modular AI racks is increasing across data centers as a result of hyperscale cloud, colocation and edge computing infrastructure boasting AI workloads expands rapidly.
  • The growth of high-density cluster of GPUs and AI-driven server environments is driving the need to develop more advanced and scalable and modular rack systems with the capacity to support increased power and compute intensity.
  • The increased usage of artificial intelligence, machine learning, and generative AI applications is increasing the demand of high-performance rack infrastructure with integrated cooling and power management solutions.
• Product and Segment View
  • Increasing demand for High-Density GPU Racks is driven by rapid deployment of AI training clusters and growing adoption of GPU-intensive workloads across hyperscale data centers, accounting for 30.8% share.
  • Rising adoption of Standard AI Racks is supported by continued use in enterprise environments and compatibility with existing data center infrastructure, representing 28.6% share.
  • Growing use of Air-Cooled Systems is driven by widespread deployment in legacy and medium-density AI environments due to cost-effectiveness and ease of implementation, holding a 44.7% share.
  • Increasing adoption of Liquid Cooling is driven by rising rack power densities and the need for efficient thermal management in high-performance AI workloads, accounting for 34.9% share.
  • Rising demand for Hyperscale Data Centers is supported by large-scale AI infrastructure investments and expansion of cloud service providers, representing 38.7% share.
  • Increasing adoption of Colocation Facilities is driven by enterprises outsourcing AI infrastructure to reduce capital expenditure and improve scalability, holding a 24.6% share.
  • Expanding demand for High Density 30–100kW racks is driven by increasing compute intensity and deployment of advanced AI hardware, accounting for 30.6% share.
  • Growth in Ultra-High Density above 100kW racks is supported by next-generation AI workloads and adoption of liquid-cooled architectures, representing 18.9% share.
• Geography and Competitive Outlook
  • Rapid growth of hyperscale data centers, AI infrastructure, and growing usage of cloud and edge computing technologies drive Asia-Pacific.
  • Most important growth markets are China and India, which are witnessing massive investments in AI data centers, increasing adoption of clouds, and tremendous government support towards the development of digital infrastructure.
  • As early adopters, North America and Europe lead the market because of well-developed data center ecosystems, high adoption of AI workloads, and a high presence of hyperscale cloud providers.
  • The world Modular AI Racks market includes Schneider Electric, Vertiv, Huawei, Eaton, Legrand, Sintel, and Crusoe.
• Analyst Opinion
  • Shambhu Nath Jha, Principal Consultant at Fact.MR, says, “The Modular AI Racks market has progressed rapidly since its inception, expanding way beyond traditional data center infrastructures. It is expected to grow at a very high rate due to the evolution of hyperscale AI Data Centres, the increase in adoption of high density GPU clusters and the increasing demand for energy efficient and liquid cooled rack systems which support next generation AI workloads.

Modular AI Racks Market — At a Glance

Key Growth Drivers, Constraints, and Opportunities

Key Factors Driving Growth

• The booming hyperscale data center, cloud infrastructure and AI-driven computing environment is driving demand toward high density, scalable modular AI rack systems.
• The increasing focus on thermal performance, energy efficiency and high-performance computing, is leading to the adoption of liquid-cooled and advanced modular rack design and architecture.
• The increased use of artificial intelligence, machine learning, and edge computing is hastening the demand of flexible, high-density, and modular rack solutions in the contemporary data center setting.

Key Market Constraints

• High initial costs of high-tech modular AI racks, with in-rack cooling and power facilities can be barriers to adoption, particularly with small and mid-sized businesses.
• Limited access to specialized experience in the deployment and management of very high-density and liquid-cooled AI infrastructure can slow down market penetration.
• The challenge of compatibility with legacy data center infrastructure limits the ability to seamlessly integrate modular AI rack solutions in existing facilities.

Key Opportunity Areas

• Even faster hyperscale data center and AI-driven infrastructure growth is putting significant strain on the high-density, scalable, and modular AI rack systems.
• Large installed base of traditional data center infrastructure creates great retrofit and upgrade opportunities of modular and liquid-cooled AI racks.
• The increasing usage of edge computing and distributed AI is leading to the need to develop compact, flexible, and modular rack solutions that are designed to support low-latency environments.

Segment-wise Analysis of the Modular AI Racks Market

• High-Density GPU Racks hold around 26.2% share of the rack type segment in 2036, driven by increasing deployment of AI training clusters and growing demand for high-performance computing infrastructure.
• Air-Cooled Systems account for approximately 44.7% share of the cooling technology segment in 2026, supported by widespread use in existing data centers and cost-effective deployment for medium-density AI workloads.
• Hyperscale Data Centers represent around 38.7% share of the deployment segment in 2026, driven by rapid expansion of cloud computing, large-scale AI workloads.

The Modular AI Racks Market is segmented by rack type, cooling technology, deployment type, power density, and region. By rack type, the market includes standard AI racks, high-density GPU racks, edge modular AI racks, liquid-cooled racks (direct-to-chip / immersion), and integrated AI rack pods. By cooling technology, it includes air-cooled systems, liquid cooling, and hybrid cooling systems. By deployment type, it includes on-premise data centers, colocation facilities, hyperscale data centers, and edge / micro data centers. Hyperscale data centers lead the deployment segment with 38.7% share, while air-cooled systems dominate the cooling segment with 44.7% share in 2026.

Which Rack Type Segment Dominates the Modular AI Racks Market?

High-Density GPU Racks dominate the Modular AI Racks Market and are projected to have a market share of about 30.8% in 2026. This dominant position is motivated by their wide use in AI training and inference workloads, supporting high-performance GPU clusters, and making it easy to handle compute-intensive workloads in hyperscale and enterprise data center systems.

Which Deployment Type Segment Dominates the Modular AI Racks Market?

The Hyperscale Data Centers segment will retain its position as the largest segment in the Modular AI Racks Market with an approximate market share of 38.7% by 2026. The growth of the Hyperscale Data Centers segment is supported by the fast-growing development of cloud infrastructure focused on artificial intelligence, large-scale deployments of GPU clusters, and the increasing number of investments made by hyperscale companies to provide infrastructure support.

Which Cooling Technology Segment Dominates the Modular AI Racks Market?

The Modular AI Rack Marketplace has Air-Cooled Systems leading the way in terms of overall market share of 44.7% by 2026. These numbers are due in part to the existing data centres that already use this type of cooling system, as it is economical and easy to implement into a low or medium density Artificial Intelligence workload solution, and those solutions can be utilized in enterprise or colocation environments.

Which Power Density Segment Dominates the Modular AI Racks Market?

The Modular AI Racks market is forecast to experience 30.6% of the market share as part of the High Density (30 - 100kW) segment in 2026 due to an increase in GPU-laden workloads being deployed in AI technology, as well as growth in the number of customers looking for high-performance computing resources.

Regional Outlook Across Key Markets

The market analysis covers key global regions, including South Asia and Pacific, Middle East & Africa, North America, Latin America, Western Europe, and Eastern Europe. It is segmented geographically, with specific market dynamics for each region. The full report provides a detailed market attractiveness analysis.

CAGR Table

Source: Fact.MR (FMR) analysis, based on proprietary forecasting model and primary research.

North America – The AI Infrastructure & Hyperscale Innovation Hub

The North American Modular AI Racks Market will maintain its robust upward trend as a result of the fast growth of AI-oriented hyperscale data centers, cloud infrastructure, the escalating use of high-density GPU clusters and liquid-cooled rack solutions.

U.S.: Demand for modular AI racks in the U.S. is projected to grow at a 9.2% CAGR through 2036, driven by large-scale investments in AI infrastructure, expansion of hyperscale data centers, and continuous upgrades in high-performance computing and enterprise AI environments.

Western Europe – The Advanced AI Infrastructure & Data Center Market

The Modular AI Racks Market in Western Europe has been experiencing continuous growth due to robust data centers, advanced digital ecosystems, and rising adoption rates of AI-Based computig, cloud-based computing, and colocation services across developed nations.

Germany: Demand for modular AI racks in Germany is projected to grow steadily through 2036 at a 9.7% CAGR, driven by strong enterprise IT infrastructure, Industry 4.0 digitalization, and increasing deployment of high-density, energy-efficient, and liquid-cooled AI data center solutions.

East Asia – The AI Infrastructure & Hyperscale Growth Engine

In East Asia, the Modular AI Racks Market is being driven by the growing number of Data Centres that have expanded rapidly with a focus on AI and the increasing demand for more Cloud Computing infrastructure. The growing number of Hyperscale Data Centres has also led to an increase in the number of High Density GPU Clusters and new Cooling Technologies.

China: Demand for modular AI racks in China is projected to grow steadily at a 10.4% CAGR through 2036, driven by large-scale data center expansion, rapid digital transformation, and significant investments in AI infrastructure and next-generation computing capabilities.

South Asia & Pacific – The High-Growth AI Infrastructure Region

Rapidly growing hyperscale data centers, increased cloud computing and AI adoption with digital transformation driving a boom in investment by companies into telecommunications and high-performance computer systems, are all projected to significantly contribute to fast growth within the Modular AI Racks Market located throughout South Asia and Pacific regions.

India: Demand for modular AI racks in India is projected to grow steadily at a 10.7% CAGR through 2036, driven by rapid expansion of data center capacity, growth in hyperscale cloud and AI facilities, and increasing investments in next-generation digital infrastructure.

Latin America – The Emerging AI Infrastructure & Data Center Growth Market

The growth rate for Modular AI Racks (MAR) in Latin America is positively impacted by an increase in investment in digital infrastructure, as well as a developing ecosystem for AI-ready data centers, and the rising adoption of cloud and AI-based services driven by enhanced telecom and enterprise IT infrastructure.

Brazil: Demand for modular AI racks in Brazil is projected to grow steadily through 2036, driven by expansion of AI-capable data center infrastructure, rising cloud and AI adoption, and increasing demand for high-density, scalable computing systems. The market is expected to grow at a CAGR of around 10.1% during the forecast period.

Middle East & Africa – The Infrastructure Development & Logistics Expansion Zone

The Modular AI Racks industry across the Middle East and Africa continues to grow at a steady pace due to increased investment into AI-ready digital infrastructure, expanded development of Hyperscale & Edge data centres, along with strong governmental support through Economic Diversification & Smart City initiatives.

KSA: Demand for modular AI racks in Saudi Arabia is projected to grow steadily through 2036, driven by rapid infrastructure development, expansion of AI-focused hyperscale data centers, and large-scale digital transformation and smart city initiatives. The market is expected to grow at a CAGR of around 6.0% during the forecast period.

Fact.MR’s analysis of the Rack Cable Management Systems Market provides a comprehensive regional outlook covering North America, Western Europe, East Asia, South Asia & Pacific, Latin America, and Middle East & Africa. Readers can access country-wise insights, growth trends, data center expansion patterns, and adoption dynamics shaping both mature and emerging digital infrastructure markets.

Competitive Benchmarking and Company Positioning

Leading Companies Shaping the Modular AI Racks Market

The Modular AI Rack Market is characterized by high levels of competition between major international companies including Schneider Electric, Vertiv, Eaton, and Huawei; together they make up around 40-45% of total revenues from global modular AI racks and high-density data center infrastructure. Competition is primarily driven by the design of hyper-density racks, the integration of liquid cooling, the development of modular designs optimized for use with artificial intelligence, power efficiency, and the scalability of hyper-scale data centers and end-to-end infrastructure solutions for artificial intelligence, cloud computing and edge computing.

Key Players of the Modular AI Racks Market

• AMCO Enclosures
• Vertiv
• Saipwell
• Schneider Electric
• Eaton
• Huawei
• Inova
• Crusoe
• GawTechnology
• Sintel
• Netrack
• AVK

Recent Industry Developments

• Eaton Modular Data Center Offering (2026), Eaton expands modular data center offering for rapid deployment of AI factories from grid to chip. (Eaton) [1]
• Schneider Electric Launches New Data Center Solutions (2025): New data center solutions specifically engineered to meet the intensive demands of next-generation AI cluster architectures. Evolving its EcoStruxure™ Data Center Solutions portfolio. (Schneider Electric) [2]
• AVK launches modular power system for data center market (2026): UK-based power solutions provider AVK has launched a modular power system for the hyperscale and AI data center sector. (AVK) [3]
• Munters secure BSEK 2.0 Deal (2026): Munters business area Data Center Technologies (DCT) has received an order worth appr. BSEK 2.0 from a colocation data center provider in the US. The order includes custom-designed high capacity CDUs (coolant distribution units) and over the rack CRAHs. (Munters) [4]
• Vertiv launched modular AI cooling for dense data centres (2026): Introduced new configurations of its MegaMod HDX modular power and liquid cooling system for high-density computing environments across North America and EMEA. (Vertiv) [5]

Sources and Research References

• [1] Eaton expands “modular data center offering for rapid deployment of AI factories from grid to chip”, 2026
• [2] Schneider Electric, “Launched New Data Center Solutions to Meet Challenges of High-Density AI and Accelerated Compute Applications”, 2025
• [3] AVK launches modular power system for data center market, 2026
• [4] Munters, “Wins order of BSEK 2.0 for a modular AI cooling solution”, 2026
• [5] “Vertiv, launched modular AI cooling for dense data centres”, 2026

Modular AI Racks Market Definition

The Modular AI Racks Market includes a selection of advanced rack systems and integrated infrastructure solutions that are designed to support high-performance AI workloads in data centers such as high-density GPU racks, edge modular racks, liquid-cooled systems, and rack-scale integrated pods, which ensure efficient compute deployment, thermal management, power distribution, and scalability in hyperscale, enterprise, and edge computing environments.

Modular AI Racks Market Inclusions

The Modular AI Racks Market is no longer just about traditional low-density, air-cooled rack infrastructure, but is projected to evolve rapidly as hyperscale AI data centers grow, more people adopt the use of high-density GPU clusters, and there is an increased demand of liquid-cooled, scalable, and energy efficient infrastructure to support next-generation AI workloads.

Modular AI Racks Market Exclusions

The Modular AI Racks Market is a series of advanced rack systems and integrated solutions used to design, deploy, and optimise AI infrastructure within data centres, which includes high-density racks, modular enclosures, and integrated cooling and power systems that ensure efficient compute performance, thermal management, scalability, and reliability, enabling high-performance AI workloads.

Modular AI Racks Market Research Methodology

• Primary Research
  • The current trends in demand and adoption of technologies were established based on interviews with suppliers of modular rack infrastructure, manufacturers of high-density AI rack systems, providers of liquid cooling and power management solutions, and distribution partners serving hyperscales, enterprise, and edge data center environments.
• Desk Research
  • The market sizing, trend, and competition analysis of the Modular AI Racks Market was done with the help of publicly available sources like annual reports of the companies, studies on AI infrastructure, and data center publications and industry journals.
• Market-Sizing and Forecasting
  • Market size and forecasts were derived using a combination of top-down and bottom-up approaches, analyzing revenues from modular rack providers, AI infrastructure vendors, and demand across hyperscale, enterprise, and edge data centers.
• Data Validation and Update Cycle
  • The dataset has been validated in a variety of cross-verification schemes, and is regularly updated to reflect the developments in AI hardware, liquid cooling systems, rack density design evolution, and advances in the global hyperscale and edge data center infrastructure.