Report cover image

APAC Modular Data Center Electrical & Mechanical Equipment Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2025-2034

Publisher Global Market Insights
Published Dec 22, 2025
Length 355 Pages
SKU # GMI20694379

Description

Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market was valued at USD 6.1 billion in 2024 and is estimated to grow at a CAGR of 13.8% to reach USD 22.4 billion by 2034.

Market growth is driven by rapid digital transformation, rising cloud adoption, and accelerated deployment of hyperscale and edge data centers across emerging economies. The increasing demand for scalable, energy-efficient, and quickly deployable data center infrastructure is significantly boosting investments in modular electrical and mechanical systems. Enterprises across telecom, BFSI, e-commerce, and government sectors are prioritizing modular data centers to reduce construction timelines, improve operational efficiency, and support growing data traffic. The shift toward AI workloads, 5G rollout, and IoT applications further intensifies power density requirements, reinforcing the need for advanced electrical distribution and cooling solutions. Additionally, stricter energy efficiency norms and sustainability targets are accelerating the adoption of high-performance, prefabricated data center equipment across the Asia Pacific region.

Based on equipment type, the electrical equipment segment generated USD 1.6 billion in 2024, owing to strong demand for uninterrupted power supply (UPS) systems, power distribution units (PDUs), switchgear, and backup generators. Electrical systems form the backbone of modular data centers, ensuring power reliability, redundancy, and operational continuity for mission-critical applications. Rising power densities and increasing uptime requirements are compelling operators to invest in advanced electrical architectures with real-time monitoring and intelligent power management capabilities. Furthermore, the growing integration of renewable energy sources and lithium-ion battery-based UPS solutions is enhancing energy efficiency while reducing operational costs. These factors collectively strengthen the dominance of electrical equipment within modular data center deployments.

The cooling systems segment accounted for USD 486.2 million in 2024, driven by the need to manage escalating heat loads generated by high-density computing environments. Advanced cooling technologies such as precision air conditioning, in-row cooling, liquid cooling, and free cooling solutions are increasingly deployed to improve thermal efficiency and reduce power usage effectiveness (PUE). As hyperscale and edge data centers expand across Asia Pacific, efficient cooling systems are becoming critical to maintaining equipment reliability and extending asset life cycles. The adoption of modular cooling units also allows operators to scale capacity incrementally, aligning capital expenditure with demand growth while meeting stringent energy efficiency targets.

China Modular Data Center Electrical & Mechanical Equipment Market generated USD 625.5 million in 2024, supported by large-scale cloud infrastructure investments, rapid expansion of hyperscale data centers, and strong government support for digital infrastructure development. The country’s growing demand for data localization, AI computing, and smart city initiatives continues to fuel the deployment of modular data center solutions. China’s well-established manufacturing ecosystem further supports the availability of cost-effective electrical and mechanical equipment, accelerating adoption across enterprise and colocation data centers. Additionally, increasing investments by domestic cloud service providers and telecom operators are strengthening China’s dominant position within the regional market.

Key players operating in the Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market include Schneider Electric, Vertiv, Eaton, ABB, Huawei Technologies, Delta Electronics, Legrand, Rittal, STULZ, Mitsubishi Electric, Johnson Controls, Siemens, Cummins, and NTT Facilities. These companies compete through technology innovation, energy-efficient product offerings, and strong regional distribution networks. Companies in the Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market are strengthening their market presence through modular product innovation, energy-efficient system design, and rapid deployment capabilities. Leading players are investing heavily in prefabricated electrical and cooling solutions that reduce installation time and improve scalability for hyperscale and edge data centers. Strategic partnerships with cloud service providers, telecom operators, and colocation data center developers are expanding regional footprints. Firms are also focusing on localized manufacturing and supply chain optimization to reduce costs and meet country-specific regulatory requirements.

Table of Contents

355 Pages
Chapter 1 Research Methodology
1.1 Research design
1.1.1 Research approach
1.1.2 Data collection methods
1.2 Base estimates and calculations
1.2.1 Base year calculation
1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
1.4.1 Some of the primary sources
1.5 Data mining sources
1.5.1 Paid sources
1.5.2 Sources, by region
1.6 Market Definitions
Chapter 2 Executive Summary
2.1 Industry 3600 synopsis, 2025 - 2034
2.2 Key market trends
2.2.1 Region
2.2.2 Equipment
2.2.3 Capacity Range
2.2.4 Deployment
2.2.5 End Use
2.3 TAM Analysis, 2025-2034
2.4 CXO Perspectives: Strategic Imperatives
2.4.1 Executive Decision Points
2.4.1.1 Technology Investment Priorities
2.4.1.2 Geographic Expansion and Manufacturing Footprint
2.4.2 Critical Success Factors
2.5 Future Outlook and Strategic Recommendations
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.1.1 Supplier Landscape
3.1.1.1 Tier 1: Global System Integrators & OEMs
3.1.1.2 Tier 2: Specialized Equipment Manufacturer
3.1.1.3 Tier 3: Component & Material Suppliers
3.1.1.4 Tier 4: Raw Material Producers
3.1.2 Profit Margin Analysis
3.1.2.1 Tier 1 Global OEM Margins
3.1.2.2 Systems Integration Premium Analysis
3.1.2.3 Product Segment Margin Differentiation
3.1.2.4 Detailed Cost Structure Analysis
3.1.2.5 Battery Systems Detailed Analysis
3.1.2.6 Regional Margin Dynamics
3.1.2.6.1 Asia Pacific Manufacturing Advantages
3.1.2.6.2 Market-Specific Margin Pressures
3.1.2.7 Technology-Driven Margin Evolution
3.1.2.7.1 AI/HPC Impact on Margin Structure
3.1.2.7.2 Liquid Cooling Premium
3.1.2.7.3 Modular Solution Margin Enhancement
3.1.2.8 Margin Pressure Factors and Mitigation Strategies
3.1.2.8.1 Cost Inflation Management
3.1.2.8.2 Competitive Margin Dynamics
3.1.3 Value Addition at Each Stage
3.1.3.1 Stage 1: Raw Materials to Precision Components (
15% value addition)
3.1.3.2 Stage 2: Components to Engineered Subsystems
(15 -30% value addition)
3.1.3.3 Stage 3: Subsystems to Integrated Solutions (
40% value addition)
3.1.3.4 Stage 4: Integrated Solutions to Comprehensive
Services (25 -45% value addition)
3.1.4 Factors Affecting the Value Chain
3.1.4.1 Supply Chain Constraints
3.1.4.2 Technology Evolution Drivers
3.1.4.3 Regulatory and Compliance Factors
3.1.5 Disruptions
3.1.5.1 Technology-Driven Disruptions
3.1.5.2 Business Model Disruptions
3.1.5.3 Market Structure Disruptions
3.2 Industry Impact Forces
3.2.1 Growth Drivers
3.2.1.1 Explosive AI Workload Growth Driving Power
Demand Increase
3.2.1.2 Government Sustainability Mandates & Energy
Efficiency Requirements
3.2.1.3 Infrastructure Constraints & Grid Limitations
3.2.1.4 Rapid Edge Computing Expansion & 5G Deployment
3.2.1.5 Cost Optimization & Faster Time-to-Market
Requirements
3.2.2 Industry Pitfalls and Challenges
3.2.2.1 High Initial Capital Investment for Modular Solutions
3.2.2.2 Technical Integration Complexity & Standardization
Challenges
3.2.3 Market Opportunities
3.2.3.1 Immersion Cooling Technology Adoption for High
Density AI
3.2.3.2 Renewable Energy Integration & Hybrid Power
Systems
3.2.3.3 Edge-as-a-Service & Managed Modular Solutions
3.2.3.4 Retrofit & Modernization of Legacy Data Centers
3.3 Growth Potential Analysis
3.3.1 Systematic Growth Potential Assessment
3.3.1.1 Tier 1: Exceptional Growth Applications (>20%
CAGR)
3.3.1.1.1 AI/HPC Training & Inference Applications
3.3.1.1.2 Hyperscale Cloud Service Providers
3.3.1.2 Tier 2: High Growth Applications (15 -20% CAGR)
3.3.1.2.1 Edge Computing & 5G Infrastructure
3.3.1.2.2 Colocation Data Centers
3.3.1.3 Tier 3: Moderate Growth Applications (10 -15%
CAGR)
3.3.1.3.1 Enterprise Data Centers
3.3.1.3.2 Telecommunications & Media
3.3.1.4 Tier 4: Stable Growth Applications (5 -10% CAGR)
3.3.1.4.1 Government & Public Sector
3.3.1.4.2 Financial Services & Insurance
3.3.2 Product Segment Growth Comparison
3.3.2.1 Electrical Systems Growth Analysis
3.3.2.1.1 Modular UPS Systems - Exceptional Growth
Potential
3.3.2.1.2 Power Distribution Units (PDUs) - High
Growth Potential
3.3.2.1.3 Switchgear & Electrical Infrastructure -
Moderate Growth Potential
3.3.2.2 Mechanical Systems Growth Analysis
3.3.2.2.1 Modular Cooling Solutions - Exceptional
Growth Potential
3.3.2.2.2 Advanced Thermal Management Systems -
High Growth Potential
3.3.2.2.3 HVAC & Environmental Control Systems -
Moderate Growth Potential
3.3.2.3 Control & Monitoring Systems Growth Analysis
3.3.2.3.1 Data Center Infrastructure Management
(DCIM) - High Growth Potential
3.3.3 Capacity Range Growth Comparison
3.3.3.1 Hyperscale Modular (≥10,000 kW) - Exceptional
Growth
3.3.3.2 Large Modular (2,000 -<10,000 kW) - High Growth
3.3.3.3 Medium Modular (500 -<2,000 kW) - Moderate
Growth
3.3.3.4 Small Modular (100 -<500 kW) - Moderate Growth
3.3.3.5 Micro Modular (<100 kW) - High Growth
3.3.4 Growth Driver -Application Correlation Analysis
3.3.4.1 AI Workload Correlation Matrix
3.3.4.2 5G/Edge Computing Correlation Matrix
3.3.5 Market Maturity vs Growth Potential Assessment
3.3.5.1 Technology Maturity Framework
3.3.5.2 Regional Maturity Assessment
3.4 Regulatory Landscape Analysis
3.4.1 Global Standards & Certification Requirements
3.4.1.1 Foundational International Standards Framework
3.4.1.1.1 IEEE Standards for Modular Data Centers
3.4.1.1.2 IEC Standards for Electrical Equipment
3.4.1.1.3 ASHRAE Environmental and Energy Standards
3.4.1.2 Telecommunications Infrastructure Standards
3.4.1.2.1 TIA-942-C Data Center Infrastructure
Standard
3.4.1.2.2 ISO/IEC 22237 Series for Data Center
Infrastructure
3.4.1.3 Safety and Product Certification Standards
3.4.1.3.1 UL Standards for Modular Data Center
Equipment
3.4.2 Asia Pacific Regional Regulatory Analysis
3.4.2.1 China's Comprehensive Regulatory Framework
3.4.2.1.1 Energy Efficiency and Classification Standards
3.4.2.1.2 Cybersecurity and Data Protection
Requirements
3.4.2.2 Singapore's Advanced Sustainability Framework
3.4.2.2.1 Green Data Centre Roadmap and Standards
3.4.2.2.2 Cybersecurity and Critical Infrastructure
Protection
3.4.2.3 Malaysia's Incentive-Linked Sustainability
Requirements
3.4.2.3.1 DESAC Guidelines and Sustainability Metrics
3.4.2.4 Japan's Energy Conservation Framework
3.4.2.4.1 Regulatory Requirements and Standards
Adoption
3.4.2.5 Australia's Performance-Based Approach
3.4.2.5.1 NABERS and State-Level Requirements
3.4.2.6 India's Building Code Integration
3.4.2.6.1 Energy Conservation Building Code (ECBC)
for Data Centers
3.4.3 Safety & Security Standards
3.4.3.1 Electrical Safety and Product Standards
3.4.3.1.1 International Safety Standards Adoption
3.4.3.1.2 Battery Energy Storage System Safety
3.4.3.2 Cybersecurity and Operational Technology Protection
3.4.3.2.1 IEC 62443 Industrial Cybersecurity
Framework
3.4.3.2.2 NIST Operational Technology Security
Framework
3.4.3.3 Fire Protection and Environmental Safety
3.4.3.3.1 International Fire Safety Standards
3.4.4 Regulatory Compliance Impact on Market Development
3.4.4.1 Energy Efficiency Mandates Driving Technology
Adoption
3.4.4.1.1 Mandatory PUE Requirements Creating
Market Demand
3.4.4.1.2 Renewable Energy Integration Requirements
3.4.4.2 Data Localization and Sovereignty Requirements
3.4.4.2.1 Infrastructure Deployment Mandates
3.4.4.3 Cybersecurity Standards Driving Equipment
Requirements
3.4.4.3.1 Critical Infrastructure Protection Frameworks
3.4.4.4 Compliance Cost Impact and Market Dynamics
3.4.4.4.1 Regulatory Compliance Cost Analysis
3.5 PORTER’s analysis
3.6 PESTEL Analysis
3.7 Technology & Innovation Landscape
3.7.1 Current Technology Analysis
3.7.1.1 Modular UPS Systems with Lithium-Ion Integration
3.7.1.2 Intelligent Power Distribution Units (iPDUs)
3.7.1.3 Single-Phase Liquid Cooling Systems
3.7.1.4 Prefabricated Modular Data Centers
3.7.1.5 AI-Driven Data Center Optimization
3.7.2 Emerging Technology Trends
3.7.2.1 Two-Phase Immersion Cooling
3.7.2.2 Quantum Computing Infrastructure
3.7.2.3 Advanced Battery Technologies (Solid-State &
Sodium-Metal Chloride)
3.7.2.4 Edge-as-a-Service Modular Solutions
3.7.2.5 Hybrid Renewable Power Systems
3.8 Price trend analysis
3.8.1 By region
3.8.1.1 Premium Markets – High-Cost Tier
3.8.1.2 Competitive Markets – Mid-Cost Tier
3.8.1.3 Emerging Markets – Cost-Competitive Tier
3.8.2 By product
3.8.2.1 Battery Energy Storage – Declining Cost Trajectory
3.8.2.2 Liquid Cooling Systems – Premium Growth
Trajectory
3.8.2.3 Power Distribution Equipment – Intelligence
Premium
3.8.3 UPS Systems – Modular and Chemistry Premiums
3.8.4 Modular Data Centers – Integration Premium with TCO Benefits
3.9 Cost Breakdown Analysis & Economic Impact
3.9.1 Modular Data Center Cost Structure Analysis
3.9.1.1 Modular-Specific Cost Categories
3.9.1.2 Regional Cost Structure Variations
3.9.2 Construction Methodology Comparison: Cost per MW Analysis
3.9.2.1 Modular/Prefab vs. Traditional Stick Build Pricing
3.9.2.1.1 Comprehensive Cost per MW Analysis (Land
Costs Excluded)
3.9.2.1.2 Deployment Speed and Schedule Cost Impact
3.9.2.2 Build Cost Comparison (Land Costs Excluded)
3.9.2.2.1 Detailed Construction Cost Component
Analysis
3.9.2.2.2 Material and Equipment Cost Optimization
3.9.2.3 Regional Cost Variations by Methodology
3.9.2.3.1 Asia Pacific Regional Construction Cost
Analysis
3.9.2.3.2 Manufacturing Location Impact on
Methodology Economics
3.9.3 Cost Optimization Strategies & Best Practices
3.9.3.1 Factory Integration and Standardization Benefits
3.9.3.1.1 Manufacturing Efficiency and Quality Control
3.9.3.1.2 Standardization Strategies
3.9.3.1.3 Supply Chain and Procurement Optimization
3.9.3.2 Energy Efficiency and Operational Cost Optimization
3.9.3.2.1 Power Usage Effectiveness (PUE)
Optimization
3.9.3.2.2 Lifecycle Cost Management and Asset
Optimization
3.9.4 Financing Options & Investment Models
3.9.4.1 Equipment-as-a-Service and Operational
Expenditure Models
3.9.4.1.1 Subscription-Based Financing Structures
3.9.4.1.2 Hybrid Capital Structures and Risk Allocation
3.9.4.2 Green Financing and Sustainability-Linked
Investment Models
3.9.4.2.1 Environmental Performance-Based Financing
3.9.4.2.2 Power Purchase Agreements and Energy
Infrastructure Investment
3.10 Reliability & Risk Management
3.10.1 Risk Assessment & Mitigation Strategies
3.10.2 Disaster Recovery & Business Continuity
3.10.3 Quality Assurance & Testing Protocols
3.10.4 Maintenance & Service Strategies
3.11 Patent Analysis
3.11.1 Patent Filing Trends by Technology
3.11.2 Innovation Hotspots and IP Concentration
3.11.3 Key Patent Holders and Competitive Positioning
3.11.4 Patent Cliff Analysis and Market Implications
3.11.5 IP Risk Management and Freedom to Operate
3.11.6 Licensing, Cross-Licensing, and Open Innovation Models
3.11.7 Regional Patent Landscape (Asia-Pacific Focus)
3.12 Sustainability & ESG Trends
3.12.1 Environmental Sustainability Framework
3.12.2 ESG Reporting and Compliance
3.12.3 Green Technology Adoption
3.12.4 Future Sustainability Trends and Innovations
3.12.5 Stakeholder Expectations and Market Demands
3.13 Future Outlook & Market Opportunities
3.13.1 Emerging Technology Trends and Disruptive Innovations
3.13.2 Regulatory Evolution and Policy Impact Analysis
3.13.3 Investment Opportunities and Market Entry Strategies
3.14 Use Cases: Top 5 Applications for Modular Data Center Equipment
3.14.1 Hyperscale AI Data Center Expansion
3.14.2 Edge Computing for 5G and IoT
3.14.3 Financial Services Disaster Recovery
3.14.4 Sustainable Data Center Retrofits
3.14.5 Government and Defense Rapid Deployment
3.15 Best-Case Scenarios: Top 5 Outcomes for Modular Data Center Equipment
3.15.1 AI-Optimized Green Campus
3.15.2 National 5G Edge Rollout
3.15.3 Disaster-Proof Financial DR Grid
3.15.4 Circular Economy Retrofit Program
3.15.5 Rapid Defense and Emergency Response
Chapter 4 Competitive Landscape,
4.1 Introduction
4.2 Company market share analysis
4.2.1 China
4.2.2 India
4.2.3 Japan
4.2.4 South Korea
4.2.5 Australia
4.2.6 Southeast Asia
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix
4.6 Key developments
4.6.1 Mergers & Acquisitions
4.6.2 Partnerships & Collaborations
4.6.3 New Product Launches
4.6.4 Expansion Plans and Funding
Chapter 5 Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market,
By Equipment
5.1 Key trends
5.2 Electrical Systems
5.2.1 Modular UPS Systems
5.2.2 Power Distribution Units (PDUs)
5.2.3 Switchgear and Electrical Infrastructure
5.2.4 Generators and Backup Power Systems
5.3 Mechanical Systems
5.3.1 Modular Cooling Solutions
5.3.2 Advanced Thermal Management Systems
5.3.3 HVAC and Environmental Control Systems
5.4 Control and Monitoring Systems
5.5 Structural and Housing Systems
Chapter 6 Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market,
By Capacity Range
6.1 Key trends
6.2 Micro Modular (<100 kW)
6.3 Small Modular (100 -<500 kW)
6.4 Medium Modular (500 -<2000 kW)
6.5 Large Modular (2000 -<10000 kW)
6.6 Hyperscale Modular (≥10000 kW)
Chapter 7 Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market,
By Deployment
7.1 Key trends
7.2 Fully Prefabricated Solutions
7.3 Semi-Prefabricated Solutions
7.4 Modular Component Solutions
7.5 Retrofit and Modernization Solutions
Chapter 8 Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market,
By End Use
8.1 Key trends
8.2 Cloud Service Providers
8.3 Telecommunications and Media
8.4 Financial Services and Insurance
8.5 Government and Public Sector
8.6 Healthcare and Life Sciences
8.7 Manufacturing and Industrial
8.8 Energy and Utilities
8.9 Retail and E-commerce
8.10 Transportation and Logistics
8.11 Education and Research
8.12 Real Estate and Construction
8.13 Other Industries
Chapter 9 Asia Pacific Modular Data Center Electrical & Mechanical Equipment Market,
By RegionBy Region 188
9.1 Key trends
9.2 China
9.3 India
9.4 Japan
9.5 South Korea
9.6 Australia
9.7 Southeast Asia
9.7.1 Cambodia
9.7.2 Indonesia
9.7.3 Malaysia
9.7.4 Myanmar
9.7.5 Philippines
9.7.6 Singapore
9.7.7 Thailand
9.7.8 Vietnam
9.8 Rest of APAC
Chapter 10 Company Profiles
10.1 Global Players
10.1.1 Schneider Electric SE
10.1.1.1 Company overview
10.1.1.2 Operating segment overview
10.1.1.3 Financial data
10.1.1.4 Product landscape
10.1.1.5 Strategic outlook
10.1.1.6 SWOT Analysis
10.1.2 Eaton Corporation plc
10.1.2.1 Company overview
10.1.2.2 Operating segment overview
10.1.2.3 Financial data
10.1.2.4 Product landscape
10.1.2.5 Strategic outlook
10.1.2.6 SWOT Analysis
10.1.3 Vertiv Holdings Co.
10.1.3.1 Company overview
10.1.3.2 Operating segment overview
10.1.3.3 Financial data
10.1.3.4 Product landscape
10.1.3.5 Strategic outlook
10.1.3.6 SWOT Analysis
10.1.4 ABB Ltd.
10.1.4.1 Company overview
10.1.4.2 Operating segment overview
10.1.4.3 Financial data
10.1.4.4 Product landscape
10.1.4.5 Strategic outlook
10.1.4.6 SWOT Analysis
10.1.5 Legrand SA
10.1.5.1 Company overview
10.1.5.2 Operating segment overview
10.1.5.3 Financial data
10.1.5.4 Product landscape
10.1.5.5 Strategic outlook
10.1.5.6 SWOT Analysis
10.1.6 Siemens AG
10.1.6.1 Market/Business Overview
10.1.6.2 Operating Segment Overview
10.1.6.3 Financial data
10.1.6.4 Product landscape
10.1.6.5 Strategic outlook
10.1.6.6 SWOT Analysis
10.1.7 GE Vernova
10.1.7.1 Market/Business Overview
10.1.7.2 Operating segment overview
10.1.7.3 Financial data
10.1.7.4 Product landscape
10.1.7.5 Strategic outlook
10.1.7.6 SWOT Analysis
10.1.8 Rittal GmbH & Co. KG
10.1.8.1 Market/Business Overview
10.1.8.2 Operating segment overview
10.1.8.3 Financial data
10.1.8.4 Product landscape
10.1.8.5 Strategic outlook
10.1.8.6 SWOT Analysis
10.1.9 Stulz GmbH
10.1.9.1 Market/Business Overview
10.1.9.2 Operating segment overview
10.1.9.3 Financial data
10.1.9.4 Product landscape
10.1.9.5 Strategic outlook
10.1.9.6 SWOT Analysis
10.1.10 Panduit Corp.
10.1.10.1 Market/Business Overview
10.1.10.2 Operating Segment Overview
10.1.10.3 Financial data
10.1.10.4 Product landscape
10.1.10.5 Strategic outlook
10.1.10.6 SWOT Analysis
10.2 Regional Champions (Asia Pacific Focus)
10.2.1 Huawei Technologies Co., Ltd.
10.2.1.1 Market/Business Overview
10.2.1.2 Operating segment overview
10.2.1.3 Financial data
10.2.1.4 Product landscape
10.2.1.5 Strategic outlook
10.2.1.6 SWOT Analysis
10.2.2 Delta Electronics, Inc
10.2.2.1 Market/Business Overview
10.2.2.2 Operating segment overview
10.2.2.3 Financial data
10.2.2.4 Product landscape
10.2.2.5 Strategic outlook
10.2.2.6 SWOT Analysis
10.2.3 nVent Electric plc
10.2.3.1 Market/Business Overview
10.2.3.2 Operating segment overview
10.2.3.3 Financial data
10.2.3.4 Product landscape
10.2.3.5 Strategic outlook
10.2.3.6 SWOT Analysis
10.2.4 Daikin Industries, Ltd.
10.2.4.1 Market/Business Overview
10.2.4.2 Operating segment overview
10.2.4.3 Financial data
10.2.4.4 Product landscape
10.2.4.5 Strategic outlook
10.2.4.6 SWOT Analysis
10.2.5 Mitsubishi Electric Corporation
10.2.5.1 Market/Business Overview
10.2.5.2 Operating segment overview
10.2.5.3 Financial data
10.2.5.4 Product landscape
10.2.5.5 Strategic outlook
10.2.5.6 SWOT Analysis
10.2.6 Toshiba Corporation
10.2.6.1 Market/Business Overview
10.2.6.2 Operating Segment Overview
10.2.6.3 Financial data
10.2.6.4 Product landscape
10.2.6.5 Strategic outlook
10.2.6.6 SWOT Analysis
10.2.7 Fuji Electric Co., Ltd
10.2.7.1 Market/Business Overview
10.2.7.2 Operating Segment Overview
10.2.7.3 Financial data
10.2.7.4 Product landscape
10.2.7.5 Strategic outlook
10.2.7.6 SWOT Analysis
10.2.8 Hitachi, Ltd.
10.2.8.1 Market/Business Overview
10.2.8.2 Operating segment overview
10.2.8.3 Financial data
10.2.8.4 Product landscape
10.2.8.5 Strategic outlook
10.2.8.6 SWOT Analysis
10.2.9 Panasonic Corporation
10.2.9.1 Market/Business Overview
10.2.9.2 Operating segment overview
10.2.9.3 Financial data
10.2.9.4 Product landscape
10.2.9.5 Strategic outlook
10.2.9.6 SWOT Analysis
10.2.10 Emerson Electric Co.
10.2.10.1 Market/Business Overview
10.2.10.2 Operating segment overview
10.2.10.3 Financial data
10.2.10.4 Product landscape
10.2.10.5 Strategic outlook
10.2.10.6 SWOT Analysis
10.3 Emerging Players & Specialists
10.3.1 NTT Data Corporation
10.3.1.1 Market/Business Overview
10.3.1.2 Operating segment overview
10.3.1.3 Financial data
10.3.1.4 Product landscape
10.3.1.5 Strategic outlook
10.3.1.6 SWOT Analysis
10.3.2 Anhui Coolnet Data Power Co., LTD
10.3.2.1 Market/Business Overview
10.3.2.2 Operating segment overview
10.3.2.3 Financial data
10.3.2.4 Product landscape
10.3.2.5 Strategic outlook
10.3.2.6 SWOT Analysis
10.3.3 Hefei Coolnet Power Co., Ltd.
10.3.3.1 Market/Business Overview
10.3.3.2 Operating segment overview
10.3.3.3 Financial data
10.3.3.4 Product landscape
10.3.3.5 Strategic outlook
10.3.3.6 SWOT Analysis
10.3.4 Shanghai Cooltech Power Co., Ltd.
10.3.4.1 Market/Business Overview
10.3.4.2 Operating segment overview
10.3.4.3 Financial data
10.3.4.4 Product landscape
10.3.4.5 Strategic outlook
10.3.4.6 SWOT Analysis
10.3.5 QTS Data Centers
10.3.5.1 Market/Business Overview
10.3.5.2 Operating segment overview
10.3.5.3 Financial data
10.3.5.4 Product landscape
10.3.5.5 Strategic outlook
10.3.5.6 SWOT Analysis

Search Inside Report

Pricing

Currency Rates
How Do Licenses Work?

How Do Licenses Work?

The primary function of a report license is to define how many people within a company are authorized to use the purchased report. This is separate to how a report might be delivered. Unless specifically identified otherwise, the purchase option is Single User. Below is a helpful description of that license, along with a sampling of others most commonly offered.

  • This license allows only one user to have access to and to use/read the report. It is not one user at a time or one user group; it is an individual who will be reading and utilizing the report.

  • This license allows for the entire purchasing company to read and use the report. This is the license level that would allow for a report to be placed on an internal company shared drive for access by all employees of that direct company. This license does not extend to parent or sister company use.

  • This license is designed to allow an entire department within a company full access to a report. The departmental license is a great option for companies that have more than one location and the department is spread out all over the country/world

  • This license is for companies that have one location where they want the report to be accessible by all employees within that physical location.

  • This is the most flexible of the licensing options. Some publishers will allow you to get a license for a preset number of people (typically 5). These licenses are ideal for small work groups.

License options are at the discretion of each publisher. As such, not all licenses indicated above are available for every product. If you are uncertain of the best license for your needs or would like a license that is not proactively available, please contact us and we will be happy to assist.

Request A Sample
Head shot

Questions or Comments?

Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
Chat Now
Contact Us