[315 Pages Report] The data center infrastructure management revenue totaled US$ 1.8 Billion in 2021. The market is expected to reach US$ 5.6 Billion by 2032, exhibiting growth at 10.7% CAGR between 2022 and 2032. As of 2022, the market is likely to reach US$ 2 Billion, exhibiting a Y-o-Y incline of 11.1% from 2021.
As businesses strive to reduce problems and security breaches, they are embracing smart and dynamic infrastructures, which is expected to fuel growth in the DCIM market.
Attributes | Details |
---|---|
Data Center Infrastructure Management Market CAGR (2022 to 2032) | 10.7% |
Data Center Infrastructure Management Market Size (2022) | US$ 2 Billion |
Data Center Infrastructure Management Market Size (2032) | US$ 5.6 Billion |
Colocation sites and data centers are undergoing digital transformation, which transforms IT layouts and increases complexity. A virtual replica, or a digital twin of the infrastructure, is being created by operators so that they can stay on top of the markets. Data center management procedures and tools enable a data center to fulfill its service delivery responsibilities more efficiently, such as managing asset configurations and changes, tracking asset associations and records, and analyzing connectivity and ports.
In order to transform business functions, increase data center capacity, and reduce the cost of data centers in addition to assessing the efficacy and performance of data center operations, data center infrastructure management has become an increasingly important function. DCIM solutions will become more popular with the increase in energy consumption resulting from the continuous operation of the data center. As a result, it is expected that the market for DCIM solutions is set to increase, as a result of the increasing influence of regulatory norms on data centers.
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The demand for robust IT infrastructure management solutions for data handling and storage has grown across industry verticals, such as manufacturing, retail, healthcare, and BFSI. Consequently, the demand for DCIM solutions is likely to increase with the increase in demand for data center infrastructure management initiatives that will help operators achieve maximum throughput and operational efficiency in data centers.
Other factors contributing to the growth of the market are the growing number of edge data centers that address the low latency requirements of some applications. The traditional data center network operations center still plays an important role, but due to the growth in cloud adoption, the approach to managing data centers and cloud services will change to ensure an end-to-end process in the market. Software-defined data centers are predicted to replace traditional methods for managing data centers, regardless of the size of the facility.
RFID technology streamlines the management of physical assets within DCIM. Successful DCIM provides an organization with a competitive edge and is a vital component of corporate success. In a data center management system, monitoring different parameters, including server and computer performance, network performance, and security risks, is used to gain visibility and insights, and to resolve network problems as they arise. Due to these factors, DCIM solutions are becoming more and more necessary for organizations in order to assist in improving decision-making processes, ensure data centers operate at peak efficiency, and improve decision-making.
Digitalization and other innovative technologies in various end-use applications have been enhancing market growth mainly through the development of e-commerce. A growing need to manage limited space and high rack density, which helps drive the market, is also a result of increased work-from-home policies to prevent IT system failure.
Integrating Real-Time Devices into an Operations Data Center is a complex process
DCIM has developed into a major software solution for infrastructure optimization. In addition to successfully implementing DCIM in several companies, there are numerous organizations that have reported the failure of their DCIM implementations as well. DCIM providers fail to deliver what customers expect, which is a major reason behind the unsuccessful implementations of DCIM in the market. DCIM implementation can be complicated for data centers with a number of functional domains.
COVID-19 has posed a challenge to the construction of new data centers due to the threat posed by the infection. Most vendors have delayed or canceled their projects or activities which could increase the possibility of an infection in the near future. The possibility of business interruptions due to software installation failures has hindered the growth of the market. A lack of trained professionals and high initial expenses can dampen the growth of the market. Insufficient tools and approaches to deal with the synchronization issues that affect virtualized automation are restricting the market's growth.
As data center management costs and demands rise, data center managers often face challenges maintaining the optimum level of efficiency as well as utilization of the data center in the market. The market isn't growing as fast as it should due to a lack of tools that make virtual automation synchronize with physical infrastructure. DCIM faces a growing number of challenges as a result of the proliferation of technologies, the ever-changing business environment, the economic conditions in which they operate, and regulatory compliance. Amongst other challenges, the market faces capacity constraints, a lack of knowledge on energy consumption, network capacity limitations, and dealing with budgets for energy use, among others.
Data Center Infrastructure Management Market:
Attributes | Data Center Infrastructure Management Market |
---|---|
CAGR (2022 to 2032) | 10.7% |
Market Value (2032) | US$ 3.2 Billion |
Growth Factor | The IP traffic in data centers is likely to increase in the forecast period, which is ultimately expected to lead to an increase in the market for data center infrastructure management. |
Opportunity | The continuing expansion of DCIM systems as well as customized DCIM systems for unique customer requirements, combined with the ability to configure and install without minimum-quantity restrictions, are presenting new opportunities to the DCIM industry. |
Key Trends | DCIM platforms support secure remote network access from remote locations, enabling employees to carry out their work from anywhere in the world. These advanced platforms support the development of hosting technologies for remote access via secure IP networks. |
Data Center Power Management Market:
Attributes | Data Center Power Management Market |
---|---|
CAGR (2022 to 2032) | 16.3% |
Market Value (2032) | US$ 37.3 Billion |
Growth Factor | With the proliferation of smart devices, mobile data is increasing tremendously. As the amount of data is increasing, technologies such as 5G, the Internet of Things (IoT), and connected systems are also contributing to this surge in data. |
Opportunity | While processing such high amounts of data, data center managers are upgrading their power efficiency in order to maintain profitability, which is expected to improve demand in the future. |
Key Trends | There is strong interest in hyper-scale data centers, the use of renewable energies, and the integrated management of data center power across the globe as key trends driving the market. |
Data Center Substation Market:
Attributes | Data Center Substation Market |
---|---|
CAGR (2022 to 2032) | 6.2% |
Market Value (2032) | US$ 18.2 Billion |
Growth Factor | Increasing demand for automated and smart electrical power systems that help reduce the footprint of carbon on the environment is acting as a catalyst for growth in the market. |
Opportunity | Developing new business models and adopting advanced solutions are expected to lead to growth opportunities as Industry 4.0 takes hold. |
Key Trends | The digitalization of data centers in developing countries is one of the key factors driving the market demand for digital substations. Another driving factor is the growing popularity of digital substations. |
With the adoption of networked computing technologies, demand for computing resources has grown at an arbitrary rate. The implementation of DCIM helps to stimulate collaboration between data center buildings and their systems. An increase in demand for sustainable solutions is driven by the virtualization of data centers, enterprise migration to private cloud computing, and reduced energy consumption in data centers, all of which are contributing to the DCIM market's growth.
Using real-time information about the temperature and humidity in the server room, the status of equipment, and the power consumption and air conditioning workload, data center operators can create flexible and efficient operating procedures. Detailed DCIM information allows the detection of problems in real-time before they culminate in a system failure.
A workflow management system that integrates and automates processes helps to enhance productivity in the market. In addition, DCIM software helps data center operators plan and design their infrastructure efficiently and more effectively. Furthermore, DCIM seamlessly links operational information with facility information and IT information to better utilize data centers.
Considering the rapid pace at which the industry releases new technologies, these libraries are routinely updated and maintained as part of a cooperative effort with the vendors. Modern complex networks have an increasing need to manage assets and services within a single management tool regardless of where they are located within organizations for complete transparency across each infrastructure component.
IT Asset Management is predicted to grow substantially
As the IT business continues to grow in the market, demand for data center infrastructure management applications will likely increase in the coming years. In addition to identifying, locating, visualizing, and planning capacity for future growth, the DCIM solution can help data center managers evaluate all data centers' assets as they grow.
The adoption rate of asset management among DCIM will increase at a tremendous rate, with a CAGR of 10.8%. With the increase in complexity of systems, the management of IT assets is becoming increasingly difficult. A large number of small businesses are using pen and paper, spreadsheets, and other methods to track IT assets. Unfortunately, this conventional method is unable to keep up with the rapid development of IT infrastructures.
On-Premises Data Center Infrastructure Management to be Most Preferred
According to deployment type, the market is segmented into cloud and on-premises types. On-premises solutions will contribute the largest share of DCIM market growth during the forecast period. According to the forecast, the market will grow at a CAGR of 10.7%. Using the on-premises DCIM, the data center infrastructure is able to share data across the various sensors.
DCIM solutions for on-premise offer additional benefits for an organization's environment such as data collection, analysis, and alerting that is centralized and consistent. Administrators can use this data to monitor airflow, electricity consumption, temperature, weather, and security.
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Access to strong network connectivity will allow the North American market to grow in the coming years
In North America, there are many data centers at different locations all around the continent. As a result of the growing significance of energy-efficient data centers in North America, the DCIM is expected to see a growing level of business in the market.
The USA market is expected to grow at a CAGR of 10.5% for DICM during the forecast period. There is a high demand for network management solutions due to the rise in the number of small and medium-sized data centers that are currently operating in the country. In response to the growing demand for DCIM solutions, market players are establishing new facilities in the country to expand their market presence.
IT companies have been growing their revenue size due to the increasing use of mobile devices, big data, and cloud services, which have expanded their business models. As server costs decrease and cloud computing tools gain acceptance, the market is expected to grow in the region in the forecast period.
Increased IT activities and cloud-based projects to drive growth in developing nations
The Asia Pacific region is expected to be the fastest-growing market for DICM during the forecast period. In the next few years, the data center infrastructure management industry in Asia Pacific is projected to grow largely driven by the implementation of the Internet of Things (IoT) and machine learning by organizations in countries such as Japan, South Korea, Singapore, and China.
The rapid proliferation of network connectivity and wireless communication devices, coupled with the adoption of new technologies, will drive growth in this region during the forecast period. As the DCIM market grows in APAC, several factors contribute to the success of this market. Some of these factors include an increasing Internet penetration rate, a large consumer base, rapid income growth, and technological advancements, all of which further boost the market development for DCIM in APAC.
Growing environmental issues and pollution have propelled the market in China to adopt greener energy the market. To combat the fast-growing industry, the government has implemented legislative guidelines for the data centers market. As a result of the guidelines developed earlier by the Ministry of Industry and Information Technology (MIIT), the National Government Offices Administration, and the National Energy Administration, a new framework has been released in January 2019 to push the industry toward more efficient data centers. It is expected that the DCIM software market in China will grow at a CAGR of 10% over the forecast period.
An increasing number of IT projects and the expansion of data centers in these regions are also driving growth in the DCIM market. For instance, GLP planned for 900MW data center expansion in Japan. The firm also planned to invest $12 billion in this project over the next five years. Japan is expected to grow at a CAGR of 9% over the forecast period. Among the leading technology hubs, South Korea leads the way. As a result of its cutting-edge ICT infrastructure, this country boasts the fastest Internet speeds in the world, creating an ideal environment for global leading electronics and IT companies. As a result of a large number of players participating in the market, the DCIM market is thriving in this region. The South Korean market is expected to grow by 8.3% CAGR over the next few years.
Big Data and IoT are expected to drive growth in the UK market
UK data centers generated the largest revenue from the IT infrastructure segment. About 42% of the overall data center market in the UK was accounted for by server infrastructure costs. Market growth for DCIM is projected at 9.7% in the United Kingdom during the forecast period.
Further, the demand for edge computing and edge data centers in the country will increase due to advances in artificial intelligence and the Internet of Things. Data centers in the UK face tough government regulations that require them to reduce their carbon footprint and purchase renewable energy sources to operate. Consumers and businesses in the UK are becoming more reliant on data center services due to the increasing use of cellular devices, improvements in network access, and the rising adoption of new technologies to strengthen the market for DCIM.
Manufacturing companies can increase production through strategic partnerships, increasing revenues and market share. End users will reap the benefits of new technologies as new products and technologies are introduced. One of the potential benefits of a strategic partnership is the ability to expand the company's production capabilities.
The data center infrastructure management market is expected to grow at a steady CAGR of 10.7% over the forecast period
The global market for data center infrastructure management was valued at US$ 1.8 Billion in 2021
Asset management is projected to have the highest market with a CAGR of 10.8% during the forecast period
USA leads the global data center infrastructure management market with a CAGR of 10.5% during the forecast period
The market for data center infrastructure management is expected to grow by nearly US$ 5.6 Billion by 2032
The on-premises are expected to reach a CAGR of 10.7% during the forecast period
China is expected to garner US$ 394.1 Million while expanding at a 10% CAGR from 2022 to 2032.
1. Executive Summary | Data Center Infrastructure Management Market 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. FMI Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on Demand 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Million) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Formulation and Product Development Trends 4. Market Background 4.1. Market, by Key Countries 4.2. Market Opportunity Assessment (US$ Million) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in Optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Growth in Automation, By Country 4.5.3. Adoption Rate, By Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032 6.1. Historical Market Analysis, 2015 to 2021 6.2. Current and Future Market Projections, 2022 to 2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032 7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021 7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute $ Opportunity Analysis 8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Component 8.1. Introduction / Key Findings 8.2. Historical Market Value (US$ Million) and Analysis By Component, 2015 to 2021 8.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Component, 2022 to 2032 8.3.1. Solution 8.3.2. Services 8.4. Market Attractiveness Analysis By Component 9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application 9.1. Introduction / Key Findings 9.2. Historical Market Value (US$ Million) and Analysis By Application, 2015 to 2021 9.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Application, 2022 to 2032 9.3.1. Asset Management 9.3.2. Capacity Planning 9.3.3. Power Monitoring 9.3.4. Environmental Monitoring 9.3.5. BI and Analytics 9.3.6. Others (Automated Workflow and Change Management, and Auditing and Reporting) 9.4. Market Attractiveness Analysis By Application 10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Model 10.1. Introduction / Key Findings 10.2. Historical Market Value (US$ Million) and AnalysisBy Deployment Model, 2015 to 2021 10.3. Current and Future Market Value (US$ Million) and Analysis and ForecastBy Deployment Model, 2022 to 2032 10.3.1. On-premises 10.3.2. Cloud 10.4. Market Attractiveness AnalysisBy Deployment Model 11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Data Center Type 11.1. Introduction / Key Findings 11.2. Historical Market Value (US$ Million) and Analysis By Data Center Type, 2015 to 2021 11.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Data Center Type, 2022 to 2032 11.3.1. Enterprise Data Center 11.3.2. Managed Data Center 11.3.3. Colocation Data Center 11.3.4. Cloud and Edge Data Center 11.4. Market Attractiveness Analysis By Data Center Type 12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Vertical 12.1. Introduction / Key Findings 12.2. Historical Market Value (US$ Million) and Analysis By Vertical, 2015 to 2021 12.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Vertical, 2022 to 2032 12.3.1. BFSI 12.3.2. Government and Public Sector 12.3.3. IT and ITeS 12.3.4. Manufacturing 12.3.5. Healthcare and Life Sciences 12.3.6. Telecommunications 12.3.7. Others (Retail and eCommerce, Education, and Media and Entertainment) 12.4. Market Attractiveness Analysis By Vertical 13. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region 13.1. Introduction 13.2. Historical Market Value (US$ Million) and Analysis By Region, 2015 to 2021 13.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032 13.3.1. North America 13.3.2. Latin America 13.3.3. Europe 13.3.4. Asia Pacific 13.3.5. Middle East and Africa (MEA) 13.4. Market Attractiveness Analysis By Region 14. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 14.4.1. By Country 14.4.1.1. United States of America 14.4.1.2. Canada 14.4.1.3. Rest of North America 14.4.2. By Deployment Model 14.4.3. By Component 14.4.4. By Application 14.4.5. By Data Center Type 14.4.6. By Vertical 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Deployment Model 14.5.3. By Component 14.5.4. By Application 14.5.5. By Data Center Type 14.5.6. By Vertical 15. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 15.4.1. By Country 15.4.1.1. Brazil 15.4.1.2. Mexico 15.4.1.3. Rest of Latin America 15.4.2. By Deployment Model 15.4.3. By Component 15.4.4. By Application 15.4.5. By Data Center Type 15.4.6. By Vertical 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Deployment Model 15.5.3. By Component 15.5.4. By Application 15.5.5. By Data Center Type 15.5.6. By Vertical 16. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032 16.1. Introduction 16.2. Pricing Analysis 16.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 16.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 16.4.1. By Country 16.4.1.1. Germany 16.4.1.2. France 16.4.1.3. United Kingdom 16.4.1.4. Italy 16.4.1.5. Russia 16.4.1.6. Rest of Europe 16.4.2. By Deployment Model 16.4.3. By Component 16.4.4. By Application 16.4.5. By Data Center Type 16.4.6. By Vertical 16.5. Market Attractiveness Analysis 16.5.1. By Country 16.5.2. By Deployment Model 16.5.3. By Component 16.5.4. By Application 16.5.5. By Data Center Type 16.5.6. By Vertical 17. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032 17.1. Introduction 17.2. Pricing Analysis 17.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 17.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 17.4.1. By Country 17.4.1.1. China 17.4.1.2. Japan 17.4.1.3. South Korea 17.4.1.4. Rest of Asia Pacific 17.4.2. By Deployment Model 17.4.3. By Component 17.4.4. By Application 17.4.5. By Data Center Type 17.4.6. By Vertical 17.5. Market Attractiveness Analysis 17.5.1. By Country 17.5.2. By Deployment Model 17.5.3. By Component 17.5.4. By Application 17.5.5. By Data Center Type 17.5.6. By Vertical 18. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032 18.1. Introduction 18.2. Pricing Analysis 18.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021 18.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 18.4.1. By Country 18.4.1.1. GCC Countries 18.4.1.2. South Africa 18.4.1.3. Turkey 18.4.1.4. Rest of Middle East and Africa 18.4.2. By Deployment Model 18.4.3. By Component 18.4.4. By Application 18.4.5. By Data Center Type 18.4.6. By Vertical 18.5. Market Attractiveness Analysis 18.5.1. By Country 18.5.2. By Deployment Model 18.5.3. By Component 18.5.4. By Application 18.5.5. By Data Center Type 18.5.6. By Vertical 19. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032 19.1. Introduction 19.1.1. Market Value Proportion Analysis, By Key Countries 19.1.2. Global Vs. Country Growth Comparison 19.2. US Market Analysis 19.2.1. Value Proportion Analysis by Market Taxonomy 19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.2.2.1. By Deployment Model 19.2.2.2. By Component 19.2.2.3. By Application 19.2.2.4. By Data Center Type 19.2.2.5. By Vertical 19.3. Canada Market Analysis 19.3.1. Value Proportion Analysis by Market Taxonomy 19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.3.2.1. By Deployment Model 19.3.2.2. By Component 19.3.2.3. By Application 19.3.2.4. By Data Center Type 19.3.2.5. By Vertical 19.4. Mexico Market Analysis 19.4.1. Value Proportion Analysis by Market Taxonomy 19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.4.2.1. By Deployment Model 19.4.2.2. By Component 19.4.2.3. By Application 19.4.2.4. By Data Center Type 19.4.2.5. By Vertical 19.5. Brazil Market Analysis 19.5.1. Value Proportion Analysis by Market Taxonomy 19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.5.2.1. By Deployment Model 19.5.2.2. By Component 19.5.2.3. By Application 19.5.2.4. By Data Center Type 19.5.2.5. By Vertical 19.6. Germany Market Analysis 19.6.1. Value Proportion Analysis by Market Taxonomy 19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.6.2.1. By Deployment Model 19.6.2.2. By Component 19.6.2.3. By Application 19.6.2.4. By Data Center Type 19.6.2.5. By Vertical 19.7. France Market Analysis 19.7.1. Value Proportion Analysis by Market Taxonomy 19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.7.2.1. By Deployment Model 19.7.2.2. By Component 19.7.2.3. By Application 19.7.2.4. By Data Center Type 19.7.2.5. By Vertical 19.8. Italy Market Analysis 19.8.1. Value Proportion Analysis by Market Taxonomy 19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.8.2.1. By Deployment Model 19.8.2.2. By Component 19.8.2.3. By Application 19.8.2.4. By Data Center Type 19.8.2.5. By Vertical 19.9. Russia Market Analysis 19.9.1. Value Proportion Analysis by Market Taxonomy 19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.9.2.1. By Deployment Model 19.9.2.2. By Component 19.9.2.3. By Application 19.9.2.4. By Data Center Type 19.9.2.5. By Vertical 19.10. UK Market Analysis 19.10.1. Value Proportion Analysis by Market Taxonomy 19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.10.2.1. By Deployment Model 19.10.2.2. By Component 19.10.2.3. By Application 19.10.2.4. By Data Center Type 19.10.2.5. By Vertical 19.11. China Market Analysis 19.11.1. Value Proportion Analysis by Market Taxonomy 19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.11.2.1. By Deployment Model 19.11.2.2. By Component 19.11.2.3. By Application 19.11.2.4. By Data Center Type 19.11.2.5. By Vertical 19.12. Japan Market Analysis 19.12.1. Value Proportion Analysis by Market Taxonomy 19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.12.2.1. By Deployment Model 19.12.2.2. By Component 19.12.2.3. By Application 19.12.2.4. By Data Center Type 19.12.2.5. By Vertical 19.13. South Korea Market Analysis 19.13.1. Value Proportion Analysis by Market Taxonomy 19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.13.2.1. By Deployment Model 19.13.2.2. By Component 19.13.2.3. By Application 19.13.2.4. By Data Center Type 19.13.2.5. By Vertical 19.14. GCC Countries Market Analysis 19.14.1. Value Proportion Analysis by Market Taxonomy 19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.14.2.1. By Deployment Model 19.14.2.2. By Component 19.14.2.3. By Application 19.14.2.4. By Data Center Type 19.14.2.5. By Vertical 19.15. South Africa Market Analysis 19.15.1. Value Proportion Analysis by Market Taxonomy 19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.15.2.1. By Deployment Model 19.15.2.2. By Component 19.15.2.3. By Application 19.15.2.4. By Data Center Type 19.15.2.5. By Vertical 19.16. Turkey Market Analysis 19.16.1. Value Proportion Analysis by Market Taxonomy 19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032 19.16.2.1. By Deployment Model 19.16.2.2. By Component 19.16.2.3. By Application 19.16.2.4. By Data Center Type 19.16.2.5. By Vertical 19.16.3. Competition Landscape and Player Concentration in the Country 20. Market Structure Analysis 20.1. Market Analysis by Tier of Companies 20.2. Market Concentration 20.3. Market Share Analysis of Top Players 20.4. Market Presence Analysis 20.4.1. By Regional Footprint of Players 20.4.2. Product Footprint by Players 21. Competition Analysis 21.1. Competition Dashboard 21.2. Competition Benchmarking 21.3. Competition Deep Dive 21.3.1. ABB 21.3.1.1. Overview 21.3.1.2. Product Portfolio 21.3.1.3. Sales Footprint 21.3.1.4. Strategy Overview 21.3.2. CommScope 21.3.2.1. Overview 21.3.2.2. Product Portfolio 21.3.2.3. Sales Footprint 21.3.2.4. Strategy Overview 21.3.3. Cormant 21.3.3.1. Overview 21.3.3.2. Product Portfolio 21.3.3.3. Sales Footprint 21.3.3.4. Strategy Overview 21.3.4. Delta Electronics 21.3.4.1. Overview 21.3.4.2. Product Portfolio 21.3.4.3. Sales Footprint 21.3.4.4. Strategy Overview 21.3.5. Device42 21.3.5.1. Overview 21.3.5.2. Product Portfolio 21.3.5.3. Sales Footprint 21.3.5.4. Strategy Overview 21.3.6. Eaton 21.3.6.1. Overview 21.3.6.2. Product Portfolio 21.3.6.3. Sales Footprint 21.3.6.4. Strategy Overview 21.3.7. FNT Software 21.3.7.1. Overview 21.3.7.2. Product Portfolio 21.3.7.3. Sales Footprint 21.3.7.4. Strategy Overview 21.3.8. Graphical Networks 21.3.8.1. Overview 21.3.8.2. Product Portfolio 21.3.8.3. Sales Footprint 21.3.8.4. Strategy Overview 21.3.9. GreenField Software 21.3.9.1. Overview 21.3.9.2. Product Portfolio 21.3.9.3. Sales Footprint 21.3.9.4. Strategy Overview 21.3.10. Hyperview 21.3.10.1. Overview 21.3.10.2. Product Portfolio 21.3.10.3. Sales Footprint 21.3.10.4. Strategy Overview 22. Assumptions and Acronyms Used 23. Research Methodology
Technology
February 2022
REP-GB-10975
October 2022
301 pages
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