Data Center Cooling Market Size, By Component (Solution {Air Conditioner, Chilling Unit [Air-Cooled, Water-Cooled, Glycol-Cooled], Cooling Tower, Control System, Economizer [Condensing, Non-Condensing], Liquid Cooling System [Direct-To-Chip, Immersive]},

Data Center Cooling Market Size, By Component (Solution {Air Conditioner, Chilling Unit [Air-Cooled, Water-Cooled, Glycol-Cooled], Cooling Tower, Control System, Economizer [Condensing, Non-Condensing], Liquid Cooling System [Direct-To-Chip, Immersive]}, Service {Consulting, Maintenance & Support, Installation & Deployment}), By Cooling Technique (Rack/Row Based, Room-Based), By Application (BFSI, Colocation, Energy, Government, Healthcare, Manufacturing, IT & Telecom), Industry Analysis Report, Regional Outlook, Application Potential, Competitive Market Share & Forecast, 2020 - 2026

The data center cooling market is set to witness promising growth owing to the factors such as rising focus on the development of cost-effective data center solutions and reducing heat produced by the increased data center power densities. Data center cooling mechanisms and equipment are required for keeping the facility at an ideal temperature for preventing IT equipment from overheating.

Data center cooling market is bifurcated in terms of component, cooling technique, application, and regional landscape.

With respect to component, the data center cooling market is classified solution and service. The solution segment is further categorized into liquid cooling system, economizer system, control system, cooling tower, chilling unit, air conditioner, and others. Growth in data processing in servers increases the temperature of the servers. The rise in temperature to critical point can result in the damage of server components. To maintain temperature at an ideal condition, the data center operators are installing precision air conditioners with temperature & humidity control features. They deliver round-the-clock service and reliability. The above-mentioned factors will drive the demand for air conditioner across data centers, thereby leading to segmental growth.

Ongoing technological advancements to enhance the operation of equipment and reduce energy consumption levels are driving the demand for cooling towers segment in data centers. The control systems segment will grow at a significant rate as the adoption of an appropriate cooling control system helps in reducing energy costs. It utilizes a range of wireless sensors, hardware, and software for controlling the cooling operation provided by CRAC and Air handling Units (AHUs) in data centers.

The liquid cooling system will witness tremendous growth over the coming years. Factors like high cooling efficiency and rapid cooling effect, have led to the increased adoption of the direct immersion liquid cooling technique. The servers are directly submerged in liquid solutions that help to save the overall cooling energy and maintain the components’ temperature to low and uniform conditions.

The service segment is further classified into installation and deployment, maintenance and support, and consulting. Consulting services help data center providers in analyzing the needs of their facility. They aid in realizing the capital, time requirements, and margin for error when building or updating data centers. These factors are likely to stimulate the demand for consulting services across data centers, resulting in segmental growth.

The installation services segment will grow at a significant rate as they help in managing the entire process as well as offering professional structured cabling and installation of the power strips. These services also enable in removing the events of errors in case of cables being accidently unplugged. The afore-mentioned factors will fuel the demand for installation & deployment.

Based on cooling technique, the data center cooling market is categorized into room based and rack/row based. Rack/row level cooling technique is expected to grow at the highest CAGR owing to the ability of the cooling technique as the CRAH units or air conditioners are dedicated at cooling the targeted areas in comparison to room-based cooling. This technique further helps in increasing the performance predictability by removing the chances of air mixing and having extreme density capabilities.

In terms of application, the overall data center cooling market is segmented into IT & telecom, manufacturing, healthcare, government, energy, colocation, BFSI, and others. The BFSI sector has witnessed a shift, wherein organizations are switching from the use of physical documents to digitization. Financial institutions and banks usually generate massive data that need to be processed and stored effectively, resulting in the increasing demand for data center facilities. These factors will drive the product deployment across BFSI sector.

The healthcare application segment is slated to witness remunerative growth over the coming years. Increase in healthcare infrastructure and the need to scale data center capacities will be witnessed. The demand for transforming the data center at a rapid scale and coping up with digitalization needs will also propel the segmental growth.

From a regional frame of reference, Europe data center cooling market will witness tremendous growth over the coming years. Several European regions, like Russia, Italy, and Spain, are recovering from their economic crisis, which in turn has proved to be a key opportunity for business organizations to grow and has led to the demand for the data center market across Europe.

In the Asia Pacific, the Australia data center cooling market will witness substantial growth owing to the demand of the financial service firms to access the core electronic trading and capital markets in the country.


Chapter 1. Methodology & Scope
1.1. Scope & definitions
1.2. Methodology & forecast parameters
1.3. Data sources
1.3.1. Secondary
1.3.2. Primary
Chapter 2. Executive Summary
2.1. Data center cooling solution industry 360 degree synopsis, 2016 – 2026
2.1.1. Business trends
2.1.2. Regional trends
2.1.3. Component trends
2.1.4. Application trends
Chapter 3. Data Center Cooling Industry Insights
3.1. Industry segmentation
3.2. Industry landscape, 2016 – 2026
3.3. Impact of coronavirus (COVID-19) pandemic
3.3.1. Global outlook
3.3.2. Regional outlook
3.3.2.1. North America
3.3.2.2. Europe
3.3.2.3. Asia Pacific
3.3.2.4. South America
3.3.2.5. MEA
3.3.3. Industry value chain
3.3.3.1. Component suppliers
3.3.3.2. Manufacturers
3.3.3.3. Marketing & distribution channel
3.3.4. Competitive landscape
3.3.4.1. Strategy
3.3.4.2. Distribution network
3.3.4.3. Business growth
3.4. Industry ecosystem analysis
3.4.1. Distribution channel analysis
3.4.2. Vendor matrix
3.5. Technological & innovation landscape
3.5.1. Innovation in data center
3.5.2. Green data center
3.5.3. Impact of Artificial Intelligence (AI)
3.5.4. Heat transfer fluids
3.6. Regulatory landscape
3.6.1. North America
3.6.2. Europe
3.6.3. Asia Pacific
3.6.4. South America
3.6.5. MEA
3.7. End-use cases
3.7.1. Automotive
3.7.2. AI
3.7.3. Cryptocurrency
3.7.4. Gaming
3.8. Industry impact forces
3.8.1. Growth drivers
3.8.1.1. Increase in the demand for energy efficient and cost-effective data centers in North America
3.8.1.2. Adoption of intelligent control systems in data centers in Europe
3.8.1.3. Rising number of data centers in Asia Pacific
3.8.1.4. Adoption of liquid cooling solutions in colocation data centers in South America
3.8.1.5. Rising number of edge data centers in MEA
3.8.2. Industry pitfalls & challenges
3.8.2.1. Underestimating or overestimating cooling requirements
3.8.2.2. Need for specialized infrastructure
3.8.2.3. Phantom leakage
3.9. Growth potential analysis
3.10. Porter’s analysis
3.11. PESTEL analysis
Chapter 4. Competitive Landscape, 2019
4.1. Introduction
4.2. Competitive analysis of major market players
4.2.1. ABB Group
4.2.2. Blackbox Corporation
4.2.3. Rittal GmbH & Co. KG
4.2.4. Schneider Electric SE
4.2.5. Vertiv Co.
4.3. Competitive analysis of other major market players
4.3.1. Airedale Air Conditioning
4.3.2. Asetek A/S
4.3.3. Nortek Air Solutions, LLC
4.3.4. Stulz GmbH
4.4. Competitive analysis, by solution
4.4.1. Air conditioner
4.4.2. Chilling unit
4.4.3. Control system
4.4.4. Cooling tower
4.4.5. Economizer
4.4.6. Liquid cooling system
Chapter 5. Data Center Cooling Market, By Component
5.1. Key trends, by component
5.2. Solution
5.2.1. Market estimates and forecast, 2016 – 2026
5.2.2. Air conditioner
5.2.2.1. Market estimates and forecast, 2016 – 2026
5.2.3. Chilling unit
5.2.3.1. Market estimates and forecast, 2016 – 2026
5.2.3.2. Air-cooled chillers
5.2.3.2.1. Market estimates and forecast, 2016 – 2026
5.2.3.3. Water-cooled chillers
5.2.3.3.1. Market estimates and forecast, 2016 – 2026
5.2.3.4. Glycol-cooled chillers
5.2.3.4.1. Market estimates and forecast, 2016 – 2026
5.2.4. Cooling tower
5.2.4.1. Market estimates and forecast, 2016 – 2026
5.2.5. Control system
5.2.5.1. Market estimates and forecast, 2016 – 2026
5.2.6. Economizer system
5.2.6.1. Market estimates and forecast, 2016 – 2026
5.2.6.2. Condensing
5.2.6.2.1. Market estimates and forecast, 2016 – 2026
5.2.6.3. Non-condensing
5.2.6.3.1. Market estimates and forecast, 2016 – 2026
5.2.7. Liquid cooling system
5.2.7.1. Market estimates and forecast, 2016 – 2026
5.2.7.2. Direct to Chip
5.2.7.2.1. Market estimates and forecast, 2016 – 2026
5.2.7.3. Immersive
5.2.7.3.1. Market estimates and forecast, 2016 – 2026
5.2.8. Others
5.2.8.1. Market estimates and forecast, 2016 – 2026
5.3. Service
5.3.1. Market estimates and forecast, 2016 – 2026
5.3.2. Consulting
5.3.2.1. Market estimates and forecast, 2016 – 2026
5.3.3. Maintainence and support
5.3.3.1. Market estimates and forecast, 2016 – 2026
5.3.4. Installation and deployment
5.3.4.1. Market estimates and forecast, 2016 – 2026
Chapter 6. Data Center Cooling Market, By Application
6.1. Key trends, by application
6.2. BFSI
6.2.1. Market estimates and forecast, 2016 - 2026
6.3. Colocation
6.3.1. Market estimates and forecast, 2016 - 2026
6.4. Energy
6.4.1. Market estimates and forecast, 2016 - 2026
6.5. Government
6.5.1. Market estimates and forecast, 2016 - 2026
6.6. Healthcare
6.6.1. Market estimates and forecast, 2016 - 2026
6.7. Manufacturing
6.7.1. Market estimates and forecast, 2016 - 2026
6.8. IT & Telecom
6.8.1. Market estimates and forecast, 2016 - 2026
6.9. Others
6.9.1. Market estimates and forecast, 2016 - 2026
Chapter 7. Data Center Cooling Market, By Region
7.1. Key trends, by region
7.2. North America
7.2.1. Market estimates and forecast, 2016 – 2026
7.2.2. Market estimates and forecast, by component, 2016 – 2026
7.2.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.2.2.2. Market estimates and forecast, by service, 2016 – 2026
7.2.3. Market estimates and forecast, by application, 2016 – 2026
7.2.4. U.S.
7.2.4.1. Market estimates and forecast, 2016 – 2026
7.2.4.2. Market estimates and forecast, by component, 2016 – 2026
7.2.4.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.2.4.2.2. Market estimates and forecast, by service, 2016 – 2026
7.2.4.3. Market estimates and forecast, by application, 2016 – 2026
7.2.5. Canada
7.2.5.1. Market estimates and forecast, 2016 – 2026
7.2.5.2. Market estimates and forecast, by component, 2016 – 2026
7.2.5.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.2.5.2.2. Market estimates and forecast, by service, 2016 – 2026
7.2.5.3. Market estimates and forecast, by application, 2016 – 2026
7.2.6. Mexico
7.2.6.1. Market estimates and forecast, 2016 – 2026
7.2.6.2. Market estimates and forecast, by component, 2016 – 2026
7.2.6.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.2.6.2.2. Market estimates and forecast, by service, 2016 – 2026
7.2.6.3. Market estimates and forecast, by application, 2016 – 2026
7.3. Europe
7.3.1. Market estimates and forecast, 2016 – 2026
7.3.2. Market estimates and forecast, by component, 2016 – 2026
7.3.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.3. Market estimates and forecast, by application, 2016 – 2026
7.3.4. UK
7.3.4.1. Market estimates and forecast, 2016 – 2026
7.3.4.2. Market estimates and forecast, by component, 2016 – 2026
7.3.4.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.4.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.4.3. Market estimates and forecast, by application, 2016 – 2026
7.3.5. Germany
7.3.5.1. Market estimates and forecast, 2016 – 2026
7.3.5.2. Market estimates and forecast, by component, 2016 – 2026
7.3.5.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.5.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.5.3. Market estimates and forecast, by application, 2016 – 2026
7.3.6. France
7.3.6.1. Market estimates and forecast, 2016 – 2026
7.3.6.2. Market estimates and forecast, by component, 2016 – 2026
7.3.6.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.6.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.6.3. Market estimates and forecast, by application, 2016 – 2026
7.3.7. Italy
7.3.7.1. Market estimates and forecast, 2016 – 2026
7.3.7.2. Market estimates and forecast, by component, 2016 – 2026
7.3.7.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.7.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.7.3. Market estimates and forecast, by application, 2016 – 2026
7.3.8. Spain
7.3.8.1. Market estimates and forecast, 2016 – 2026
7.3.8.2. Market estimates and forecast, by component, 2016 – 2026
7.3.8.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.8.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.8.3. Market estimates and forecast, by application, 2016 – 2026
7.3.9. Russia
7.3.9.1. Market estimates and forecast, 2016 – 2026
7.3.9.2. Market estimates and forecast, by component, 2016 – 2026
7.3.9.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.3.9.2.2. Market estimates and forecast, by service, 2016 – 2026
7.3.9.3. Market estimates and forecast, by application, 2016 – 2026
7.4. Asia Pacific
7.4.1. Market estimates and forecast, 2016 – 2026
7.4.2. Market estimates and forecast, by component, 2016 – 2026
7.4.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.4.2.2. Market estimates and forecast, by service, 2016 – 2026
7.4.3. Market estimates and forecast, by application, 2016 – 2026
7.4.4. China
7.4.4.1. Market estimates and forecast, 2016 – 2026
7.4.4.2. Market estimates and forecast, by component, 2016 – 2026
7.4.4.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.4.4.2.2. Market estimates and forecast, by service, 2016 – 2026
7.4.4.3. Market estimates and forecast, by application, 2016 – 2026
7.4.5. India
7.4.5.1. Market estimates and forecast, 2016 – 2026
7.4.5.2. Market estimates and forecast, by component, 2016 – 2026
7.4.5.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.4.5.2.2. Market estimates and forecast, by service, 2016 – 2026
7.4.5.3. Market estimates and forecast, by application, 2016 – 2026
7.4.6. Japan
7.4.6.1. Market estimates and forecast, 2016 – 2026
7.4.6.2. Market estimates and forecast, by component, 2016 – 2026
7.4.6.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.4.6.2.2. Market estimates and forecast, by service, 2016 – 2026
7.4.6.3. Market estimates and forecast, by application, 2016 – 2026
7.4.7. Singapore
7.4.7.1. Market estimates and forecast, 2016 – 2026
7.4.7.2. Market estimates and forecast, by component, 2016 – 2026
7.4.7.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.4.7.2.2. Market estimates and forecast, by service, 2016 – 2026
7.4.7.3. Market estimates and forecast, by application, 2016 – 2026
7.4.8. Australia
7.4.8.1. Market estimates and forecast, 2016 – 2026
7.4.8.2. Market estimates and forecast, by component, 2016 – 2026
7.4.8.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.4.8.2.2. Market estimates and forecast, by service, 2016 – 2026
7.4.8.3. Market estimates and forecast, by application, 2016 – 2026
7.5. South America
7.5.1. Market estimates and forecast, 2016 – 2026
7.5.2. Market estimates and forecast, by component, 2016 – 2026
7.5.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.3. Market estimates and forecast, by application, 2016 – 2026
7.5.4. Brazil
7.5.4.1. Market estimates and forecast, 2016 – 2026
7.5.4.2. Market estimates and forecast, by component, 2016 – 2026
7.5.4.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.4.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.4.3. Market estimates and forecast, by application, 2016 – 2026
7.5.5. Argentina
7.5.5.1. Market estimates and forecast, 2016 – 2026
7.5.5.2. Market estimates and forecast, by component, 2016 – 2026
7.5.5.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.5.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.5.3. Market estimates and forecast, by application, 2016 – 2026
7.5.6. Colombia
7.5.6.1. Market estimates and forecast, 2016 – 2026
7.5.6.2. Market estimates and forecast, by component, 2016 – 2026
7.5.6.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.6.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.6.3. Market estimates and forecast, by application, 2016 – 2026
7.5.7. Venezuela
7.5.7.1. Market estimates and forecast, 2016 – 2026
7.5.7.2. Market estimates and forecast, by component, 2016 – 2026
7.5.7.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.7.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.7.3. Market estimates and forecast, by application, 2016 – 2026
7.5.8. Bolivia
7.5.8.1. Market estimates and forecast, 2016 – 2026
7.5.8.2. Market estimates and forecast, by component, 2016 – 2026
7.5.8.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.8.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.8.3. Market estimates and forecast, by application, 2016 – 2026
7.5.9. Chile
7.5.9.1. Market estimates and forecast, 2016 – 2026
7.5.9.2. Market estimates and forecast, by component, 2016 – 2026
7.5.9.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.9.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.9.3. Market estimates and forecast, by application, 2016 – 2026
7.5.10. Peru
7.5.10.1. Market estimates and forecast, 2016 – 2026
7.5.10.2. Market estimates and forecast, by component, 2016 – 2026
7.5.10.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.5.10.2.2. Market estimates and forecast, by service, 2016 – 2026
7.5.10.3. Market estimates and forecast, by application, 2016 – 2026
7.6. MEA
7.6.1. Market estimates and forecast, 2016 – 2026
7.6.2. Market estimates and forecast, by component, 2016 – 2026
7.6.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.6.2.2. Market estimates and forecast, by service, 2016 – 2026
7.6.3. Market estimates and forecast, by application, 2016 – 2026
7.6.4. UAE
7.6.4.1. Market estimates and forecast, 2016 – 2026
7.6.4.2. Market estimates and forecast, by component, 2016 – 2026
7.6.4.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.6.4.2.2. Market estimates and forecast, by service, 2016 – 2026
7.6.4.3. Market estimates and forecast, by application, 2016 – 2026
7.6.5. Saudi Arabia
7.6.5.1. Market estimates and forecast, 2016 – 2026
7.6.5.2. Market estimates and forecast, by component, 2016 – 2026
7.6.5.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.6.5.2.2. Market estimates and forecast, by service, 2016 – 2026
7.6.5.3. Market estimates and forecast, by application, 2016 – 2026
7.6.6. South Africa
7.6.6.1. Market estimates and forecast, 2016 – 2026
7.6.6.2. Market estimates and forecast, by component, 2016 – 2026
7.6.6.2.1. Market estimates and forecast, by solution, 2016 – 2026
7.6.6.2.2. Market estimates and forecast, by service, 2016 – 2026
7.6.6.3. Market estimates and forecast, by application, 2016 – 2026
Chapter 8. Company Profiles
8.1. ABB Group
8.1.1. Business Overview
8.1.2. Financial Data
8.1.3. Product Landscape
8.1.4. Strategic Outlook
8.1.5. SWOT Analysis
8.2. Airedale Air Conditioning
8.2.1. Business Overview
8.2.2. Financial Data
8.2.3. Product Landscape
8.2.4. Strategic Outlook
8.2.5. SWOT Analysis
8.3. Alfa Laval AB
8.3.1. Business Overview
8.3.2. Financial Data
8.3.3. Product Landscape
8.3.4. Strategic Outlook
8.3.5. SWOT Analysis
8.4. Asetek A/S
8.4.1. Business Overview
8.4.2. Financial Data
8.4.3. Product Landscape
8.4.4. Strategic Outlook
8.4.5. SWOT Analysis
8.5. Black Box Corporation
8.5.1. Business Overview
8.5.2. Financial Data
8.5.3. Product Landscape
8.5.4. Strategic Outlook
8.5.5. SWOT Analysis
8.6. Coolcentric
8.6.1. Business Overview
8.6.2. Financial Data
8.6.3. Product Landscape
8.6.4. Strategic Outlook
8.6.5. SWOT Analysis
8.7. Degree Controls, Inc. (Adaptivcool)
8.7.1. Business Overview
8.7.2. Financial Data
8.7.3. Product Landscape
8.7.4. Strategic Outlook
8.7.5. SWOT Analysis
8.8. Ebullient, Inc.
8.8.1. Business Overview
8.8.2. Financial Data
8.8.3. Product Landscape
8.8.4. Strategic Outlook
8.8.5. SWOT Analysis
8.9. Evapco, Inc.
8.9.1. Business Overview
8.9.2. Financial Data
8.9.3. Product Landscape
8.9.4. Strategic Outlook
8.9.5. SWOT Analysis
8.10. GEA Group AG
8.10.1. Business Overview
8.10.2. Financial Data
8.10.3. Product Landscape
8.10.4. Strategic Outlook
8.10.5. SWOT Analysis
8.11. Green Revolution Cooling, Inc.
8.11.1. Business Overview
8.11.2. Financial Data
8.11.3. Product Landscape
8.11.4. Strategic Outlook
8.11.5. SWOT Analysis
8.12. Hamon Group
8.12.1. Business Overview
8.12.2. Financial Data
8.12.3. Product Landscape
8.12.4. Strategic Outlook
8.12.5. SWOT Analysis
8.13. Johnson Controls Inc.
8.13.1. Business Overview
8.13.2. Financial Data
8.13.3. Product Landscape
8.13.4. Strategic Outlook
8.13.5. SWOT Analysis
8.14. Liquid Cool Solutions, Inc.
8.14.1. Business Overview
8.14.2. Financial Data
8.14.3. Product Landscape
8.14.4. Strategic Outlook
8.14.5. SWOT Analysis
8.15. Nortek Air Solutions, LLC
8.15.1. Business Overview
8.15.2. Financial Data
8.15.3. Product Landscape
8.15.4. Strategic Outlook
8.15.5. SWOT Analysis
8.16. Rittal GmbH & Co. Kg
8.16.1. Business Overview
8.16.2. Financial Data
8.16.3. Product Landscape
8.16.4. Strategic Outlook
8.16.5. SWOT Analysis
8.17. Schneider Electric SE
8.17.1. Business Overview
8.17.2. Financial Data
8.17.3. Product Landscape
8.17.4. Strategic Outlook
8.17.5. SWOT Analysis
8.18. SPX Technologies, Inc. (SPX Corporation)
8.18.1. Business Overview
8.18.2. Financial Data
8.18.3. Product Landscape
8.18.4. Strategic Outlook
8.18.5. SWOT Analysis
8.19. Stulz GmbH
8.19.1. Business Overview
8.19.2. Financial Data
8.19.3. Product Landscape
8.19.4. Strategic Outlook
8.19.5. SWOT Analysis
8.20. Submer Technologies
8.20.1. Business Overview
8.20.2. Financial Data
8.20.3. Product Landscape
8.20.4. Strategic Outlook
8.20.5. SWOT Analysis
8.21. Vertiv Co.
8.21.1. Business Overview
8.21.2. Financial Data
8.21.3. Product Landscape
8.21.4. Strategic Outlook
8.21.5. SWOT Analysis

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