Global Data Center Infrastructure Management Market, By Offering (Solution and Services), Data Center Type (Enterprise Data Center, Managed Data Center, Colocation Data Center and Cloud & Edge Data Center), Deployment Mode (On-Premise and Cloud), Organization Size (Small & Medium-Sized Enterprises (SMES) and Large Enterprises), Application (Asset Management, Capacity Planning, Power Monitoring, Environment Monitoring, BI and Analytics and Others), Vertical (BFSI, Government & Public Sector, IT & ITES, Manufacturing, Healthcare & Life Sciences, Telecommunications and Others) - Industry Trends and Forecast to 2030.
Data Center Infrastructure Management Market Analysis and Size
A data center infrastructure management is a solution or software offered to the customers to oversee and manage the data center's working process. Moreover, the data center managers ensure the growing businesses and satisfying the customer demand, which requires a better efficient working strategy. This is possible through tracking various parameters such as data center server and computer performance, security uptime and network operations and resolving network issues as they arise.
Data Bridge Market Research analyses that the global data center infrastructure management market is expected to reach the value of USD 18,598.71 Million by 2030, at a CAGR of 18.5% during the forecast period. The data center infrastructure management market report also covers pricing analysis, patent analysis and technological advancements in depth.
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Report Metric
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Details
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Forecast Period
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2023 to 2030
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Base Year
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2022
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Historic Years
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2021 (Customisable to 2020-2015)
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Quantitative Units
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Revenue in USD Million, Pricing in USD
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Segments Covered
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By Offering (Solution and Services), Data Center Type (Enterprise Data Center, Managed Data Center, Colocation Data Center and Cloud & Edge Data Center), Deployment Mode (On-Premise and Cloud), Organization Size (Small & Medium-Sized Enterprises (SMES) and Large Enterprises), Application (Asset Management, Capacity Planning, Power Monitoring, Environment Monitoring, BI and Analytics and Others), Vertical (BFSI, Government & Public Sector, IT & ITES, Manufacturing, Healthcare & Life Sciences, Telecommunications and Others)
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Countries Covered
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U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, South Africa, Egypt, U.A.E., Israel, Rest of Middle East and Africa, Brazil, Argentina and Rest of South America.
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Market Players Covered
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ABB, Intel Corporation, Fujitsu, Microsoft, Cisco Systems, Inc., NETZOOM, INC., BGIS, Panduit, Eaton, Schneider Electric, Equinix, Inc., Vertiv Group Corp., Paessler AG, Device42, Inc., Sunbird Software, Inc., Nlyte Software Limited, FNT Software, Rittal GmbH & Co. KG, Huawei Technologies Co., Ltd. and iTRACS, LLC., among others.
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Market Definition
A data center infrastructure management is a cutting-edge technology or solution formed with the integration of information technology (IT) and facility management disciplines to enable seamless real-time monitoring and intelligent capacity planning of the critical systems of data centers. Data center infrastructure and IT equipment are measured, monitored and managed using software solutions, allowing data center operators to conduct operations more effectively. The data center infrastructure management allows administrators to use technologies for locating and identifying relationships between a facility and its IT systems.
Global Data Center Infrastructure Management Market Dynamics
This section deals with understanding the market drivers, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers
- Rising need for scalable data centers from industries across all domains
A data center in the age of digitalization is very important as almost every modern business and government office needs its own data center. Depending on the needs, every government institution and corporation may choose to build and manage its own data center. Even industries such as education, finance, telecommunication, retailers and social networking services which generate and process tons of information every day, need a data center. Therefore, these industries must need data centers to run their operations. If they fail to deploy, it can lead to the loss of clients and profits. There are four types of data centers such as colocation data centers, enterprise data centers, managed services data centers and cloud data centers.
An effective data center must have systems which are working together in a harmonious way in order to achieve better capabilities. Systems include firefighting systems, integration management, integrated cabling, cooling systems, power supply systems, interior decorations, cabinet systems and surge protection. Combing all these systems together, the enterprise can efficiently function and contribute to the economy.
- Increase in demand for robust IT infrastructure management solutions
IT infrastructure management refers to the hardware, software and other systems that are necessary for delivering IT services in accordance with service-level agreements. This management system includes IT policies and processes along with equipment, human resources and external contacts such as security organizations which will ensure the working of the IT operations smoothly and efficiently.
Moreover, an IT infrastructure solution includes monitoring and management capabilities. These capabilities gain visibility layer by layer. The IT infrastructure management solution basically includes four layers, as shown in the below figure. This multi-level visibility into IT operations helps IT admins identify and troubleshoot faults at various levels easily, thereby ensuring greater SLA compliance, proactive IT fault management, greater customer service and consistent IT infrastructure performance.
Opportunities
- Rise in digitalization trend
The digitalization or the usage of digital processes to improve business operations is increasing with the usage of relevant components to modernize the business, leading to the evolution of the working process and revenue growth to achieve future success. Converting non-digital things into digital formats makes sharing, saving and searching for information easier, which further leads to business operations automation by developing automatic workflows or marketing outreach sequences.
Digitalization has a wide range of benefits and requires proper maintenance and additional equipment and infrastructure to manage the working system properly. Thus, this process includes managing collected data, saving, processing, analysing, sharing and implementing many more operations. However, digitalization simplifies and automates the core working operations of the business but creates a need for advanced technology and infrastructure.
Restraints/Challenges
- Unreliable infrastructure in developing countries
Data centers play a significant part in IT needs to oversee and store the tremendous assets which are significant for the consistent work of any association. As the name sounds, it appears to be that the data center is a solitary item, yet it plays a colossal part in the present business. It has been made with various specialized components. The primary work of the data center is figuring, putting away and organizing. While a large number of individuals dealing with information and organization, these data centers make that work more straightforward, agreeable and reliable. Dependability, effectiveness, security and consistent advancement are the significant job of data centers.
The significant investment volumes and the quality and adequacy of infrastructure services generally vary across nations. The experience of millions of individuals all over the planet shows that just being associated with foundation networks doesn't ensure dependable administrations. Particularly the quickly developing urban communities in emerging nations are confronting the difficult outcomes of the unacceptable framework, frequently at a massive expense. Maturing hardware, underfunding, unfortunate support and quick extension are a portion of the key variables bringing about temperamental power frameworks, water and disinfection frameworks and overstrained transport networks.
- Challenges in data classification and processing
Data classification is the method involved with isolating and putting together information into significant groups in light of their common qualities, for example, their degree of awareness and the dangers they present and the consistency guidelines that safeguard them. To safeguard delicate information, it should be found, then grouped by its degree of responsiveness and labeled. Then undertakings should deal with each gathering of information in manners that guarantee just approved individuals can get entrance, both inside and remotely and that the information is constantly taken care of in full consistence with every single important guideline.
Moreover, data security is a major challenge for any data center and a breach of data can cost millions of dollars in lost intellectual property, exposure of confidential data and stolen personally. Thus, data has to be protected, which can be done easily through the classification and processing of the data to encrypt the data to maintain privacy and secure the safety of the data.
Post COVID-19 Impact on Global Data Center Infrastructure Management Market
COVID-19 created a positive impact on the data center infrastructure management market owing to the rapid shift towards cloud infrastructure from all industries.
The COVID-19 pandemic has impacted the data center infrastructure management market to an extent in a positive manner. The increasing adoption of infrastructure management solutions in the information technology sector has helped the market to grow after the pandemic. Also, it is expected that there will be considerable sectoral growth in the near future.
Solution providers make various strategic decisions to enhance their offerings in the post-COVID-19 scenario. The players are conducting multiple research and development activities to improve the technology involved in data center infrastructure management. With this, the companies will bring advanced technologies to the market. In addition, government initiatives for the use of data center technology have led to the market's growth.
Recent Development
- In August 2022, ABB announced the signing of an MoU agreement with A.T.S. Global to focus on European and Asian markets. This agreement will help the company extend the Data Center Automation (D.C.A.) business and explore global opportunities
- In August 2022, Intel Corporation announced the collaboration with Aible to leverage artificial intelligence. This collaboration will help the company offer a wide range of solutions to manage the data centers with increased agility and lower total cost of ownership for customers.
Global Data Center Infrastructure Management Market Scope
The global data center infrastructure management market is segmented into six notable segments, which are based on offering, data center type, deployment mode, organization size, application and vertical. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
- Solution
- Services
On the basis of offering, the global data center infrastructure management market is segmented into solutions and services.
Data Center Type
- Enterprise Data Center
- Managed Data Center
- Colocation Data Center
- Cloud & Edge Data Center
On the basis of data center type, the global data center infrastructure management market has been segmented into the enterprise data center, managed data center, colocation data center and cloud & edge data center.
Deployment Mode
- Cloud
- On-Premise
On the basis of deployment mode, the global data center infrastructure management market has been segmented into cloud and on-premise.
Organization Size
- Small and Medium-Sized Enterprises (SMES)
- Large Enterprises
On the basis of organization size, the global data center infrastructure management market is segmented into small & medium-sized enterprises (SMES) and large enterprises.
Application
- Asset Management
- Capacity Planning
- Power Monitoring
- Environment Monitoring
- BI and Analytics
- Others
On the basis of application, the global data center infrastructure management market is segmented into asset management, capacity planning, power monitoring, environment monitoring, BI & analytics and others.
Vertical
- BFSI
- Government and Public Sector
- IT and ITES
- Manufacturing
- Healthcare and Life Sciences
- Telecommunications
- Others
On the basis of vertical, the global data center infrastructure management market is segmented into BFSI, government and public sector, IT and ITES, manufacturing, healthcare and life sciences, telecommunications and others.
Global Data Center Infrastructure Management Market Regional Analysis/Insights
The global data center infrastructure management market is analysed and market size insights and trends are provided by country, offering, data center type, deployment mode, organization size, application and vertical, as referenced above.
The countries covered in the data center infrastructure management market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, South Africa, Egypt, U.A.E., Israel, Rest of Middle East and Africa, Brazil, Argentina and Rest of South America.
Asia-Pacific dominates the data center infrastructure management market owing to the growing adoption of data centers across all industries. China dominates Asia-Pacific due to the increasing demand for robust IT infrastructure management solutions.
The country section of the report also provides individual market-impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like downstream and upstream value chain analysis, technical trends, porter's five forces analysis and case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Global Data Center Infrastructure Management Market Share Analysis
Global data center infrastructure management market competitive landscape provides details by the competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to the data center infrastructure management market.
Some of the major players operating in the global data center infrastructure management market are ABB, Intel Corporation, Fijutsi, Microsoft, Cisco Systems, Inc., NETZOOM, INC., BGIS, Panduit, Eaton, Schneider Electric, Equinix, Inc., Vertiv Group Corp., Paessler AG, Device42, Inc., Sunbird Software, Inc., Nlyte Software Limited, FNT Software, Rittal GmbH & Co. KG, Huawei Technologies Co., Ltd. and iTRACS, LLC.,among others.
Research Methodology: Global Data Center Infrastructure Management Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The stage includes the obtainment of market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Apart from this, data models include a Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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