According to our (Global Info Research) latest study, the global AI Data Center Facility Planning and Design Services market size was valued at US$ 5577 million in 2025 and is forecast to a readjusted size of US$ 13801 million by 2032 with a CAGR of 12.9% during review period.
AI Data Center Facility Planning and Design Services refer to professional planning, engineering design, simulation, and pre-delivery technical services for the physical infrastructure layer of AI training, inference, high-performance computing, and high-density intelligent computing facilities. The scope focuses on the facility requirements needed to deploy accelerated computing clusters, including site and utility feasibility, IT load planning, rack-density planning, data hall and grey-space layout, electrical distribution, backup power, mechanical cooling and liquid-cooling architecture, structural loading, piping and cabling routes, fire and security systems, BIM coordination, CFD thermal simulation, digital twin modelling, modular deployment planning, resilience design, and commissioning strategy. The purpose of these services is to translate the power, thermal, spatial, resilience, and scalability requirements of GPU-based AI clusters into a buildable, verifiable, operable, and expandable facility design.
Pricing is typically project-based rather than standardized, and is usually determined by project phase, planned IT load, engineering depth, cooling architecture, redundancy requirements, simulation scope, BIM/digital twin deliverables, local construction conditions, and the boundary between design, consulting, software, and EPC support. For this reason, the report should treat pricing as a modelling assumption in the market-sizing section rather than as a fixed market quotation in the definition.
Based on our research, the essence of the AI data center facility planning and design services market lies in a specialised engineering and digital planning discipline built around the development of high-density computing infrastructure, rather than a simple extension of conventional IDC facility design. Traditional data center planning has historically centred on availability, spatial efficiency, power distribution redundancy, cooling efficiency and operational safety. AI data centers, by contrast, introduce a more demanding set of constraints, including the high power density of GPU clusters, liquid-cooling systems, transient workload fluctuations, grid-access bottlenecks, rack load-bearing requirements, piping and cabling organisation, phased capacity expansion and speed to production. Accordingly, the core scope of this study should be defined as facility-level planning, engineering design, simulation and reference-architecture services, rather than servers, GPUs, cloud services, colocation leasing, or the sale of standalone power and cooling equipment. Under this definition, the industry’s value lies primarily in translating chip-level and rack-level requirements for power, heat dissipation, space, resilience and scalability into executable engineering solutions at the campus, building and data hall levels.
From the perspective of supply structure, the global AI data center facility planning and design services market is shaped by four groups of providers. The first consists of power, cooling, controls and facility infrastructure solution vendors, whose strength lies in integrating electrical distribution, liquid cooling, control systems and reference designs. The second comprises engineering design and consulting firms, which are strongest in site selection, master planning, MEP design, construction-document coordination, permitting compliance and commissioning strategy. The third includes digital twin, BIM, electrical simulation and thermal simulation platform providers, whose advantage lies in model-based design and cross-disciplinary validation. The fourth consists of EPC and modular delivery companies, whose capabilities are concentrated in prefabrication, parallel construction and accelerated deployment. Recent official solutions from NVIDIA, Schneider Electric and Siemens around AI factory reference designs, coordinated liquid-cooling and power management, and AI workload infrastructure management indicate that the industry is moving from experience-led, project-by-project design towards standardised architectures, digital simulation and ecosystem-based co-design.
On the demand side, growth in AI data center planning and design is being driven primarily by new AI training campuses, density upgrades of existing cloud data centers, sovereign AI infrastructure, industry-specific intelligent computing centers, high-performance computing facilities and liquid-cooling retrofit projects. The underlying growth driver is not merely the rising procurement of computing equipment, but the increasing constraints imposed by power availability, cooling resources, construction timelines and energy-efficiency regulation on project feasibility. The IEA projects that global data center electricity consumption could rise to around 945 TWh by 2030, up sharply from 2024 levels; China has set a target to reduce the national average PUE of data centers to below 1.5 by the end of 2025; and the European Union has established reporting mechanisms for data center energy performance and sustainability indicators. These trends are collectively pushing owners to attach greater importance at the early planning stage to site selection, grid access, cooling strategy, PUE/WUE targets, renewable energy integration and heat-reuse potential.
From a technology-roadmap perspective, the key variables in AI data center planning and design are shifting from “data hall area and rack count” to “IT load in megawatts, rack-level power density, power pathway, cooling architecture, digital-twin validation and speed of delivery.” Direct-to-chip liquid cooling, hybrid air-liquid cooling, coolant distribution units, HVDC architecture, microgrids, energy-storage interfaces, BIM coordination, CFD thermal simulation and AI factory digital twins will continue to raise the technical threshold of planning and design services. Future competition is unlikely to be dominated by any single category of company. Instead, it will increasingly take the form of coordinated competition among engineering consultants, facility infrastructure vendors, digital twin platforms, EPC delivery firms and AI hardware ecosystems. Companies with strong cross-disciplinary integration capabilities, standardised reference-architecture know-how and proven high-density project experience will be better positioned to shape the front-end planning agenda of large-scale AI data center projects.
This report is a detailed and comprehensive analysis for global AI Data Center Facility Planning and Design Services market. Both quantitative and qualitative analyses are presented by company, by region & country, by Planning Service Scope 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.
Key Features:
Global AI Data Center Facility Planning and Design Services market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI Data Center Facility Planning and Design Services market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI Data Center Facility Planning and Design Services market size and forecasts, by Planning Service Scope and by Application, in consumption value ($ Million), 2021-2032
Global AI Data Center Facility Planning and Design Services market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Data Center Facility Planning and Design Services
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Data Center Facility Planning and Design Services market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Schneider Electric SE, NVIDIA Corporation, Siemens AG, Vertiv Holdings Co, Johnson Controls, Eaton Corporation, Huawei Digital Power, Legrand SA, Jacobs Solutions Inc., AECOM, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Data Center Facility Planning and Design Services market is split by Planning Service Scope and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Planning Service Scope and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Planning Service Scope
Master Planning and Concept Design
Site and Utility Feasibility
Detailed MEP and White-space Design
Commissioning and Resilience Planning
Other
Market segment by Deployment Model
Greenfield AI Campus
Brownfield Retrofit
Modular / Prefabricated Facility
Hybrid Expansion
Market segment by Cooling Architecture
High-density Air Cooling
Direct-to-chip Liquid Cooling
Immersion / Two-phase Cooling
Hybrid Air-liquid Cooling
Other
Market segment by Customer Type
Hyperscalers
Colocation Operators
Government
Enterprise and Research Institutions
Market segment by Application
Hyperscale AI Training
AI Inference Cloud
HPC and Research Computing
Enterprise AI
Other
Market segment by players, this report covers
Schneider Electric SE
NVIDIA Corporation
Siemens AG
Vertiv Holdings Co
Johnson Controls
Eaton Corporation
Huawei Digital Power
Legrand SA
Jacobs Solutions Inc.
AECOM
WSP Global Inc.
Arup Group
Stantec Inc.
Burns & McDonnell
Exyte GmbH
Corgan
HKS
HDR
Syska Hennessy
Cundall
Haskoning
Sweco AB
Buro Happold
Bechtel
Samsung C&T
ZTE Corporation
ETAP
Dassault Systèmes
Autodesk
Bentley Systems
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Data Center Facility Planning and Design Services product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Data Center Facility Planning and Design Services, with revenue, gross margin, and global market share of AI Data Center Facility Planning and Design Services from 2021 to 2026.
Chapter 3, the AI Data Center Facility Planning and Design Services competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Planning Service Scope and by Application, with consumption value and growth rate by Planning Service Scope, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI Data Center Facility Planning and Design Services market forecast, by regions, by Planning Service Scope and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Data Center Facility Planning and Design Services.
Chapter 13, to describe AI Data Center Facility Planning and Design Services research findings and conclusion.
Summary:
Get latest Market Research Reports on AI Data Center Facility Planning and Design Services. Industry analysis & Market Report on AI Data Center Facility Planning and Design Services is a syndicated market report, published as Global AI Data Center Facility Planning and Design Services Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI Data Center Facility Planning and Design Services market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.