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全球数据中心基础设施管理市场 - 2023-2030年
市场调查报告书
商品编码
1285058

全球数据中心基础设施管理市场 - 2023-2030年

Global Data Center Infrastructure Management Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 245 Pages | 商品交期: 最快1-2个工作天内

价格

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简介目录

市场概况

全球数据中心基础设施管理市场规模在2022年达到20.016亿美元，预计到2030年将见证有利可图的增长，达到41.541亿美元。在2023-2030年的预测期内，该市场的年复合增长率为13.8%。

DCIM解决方案提供了对数据中心基础设施的实时监控和分析，使企业能够在潜在问题发生之前发现它们，并采取预防措施，以避免停机或其他中断。DCIM软件还可以帮助企业优化能源使用，降低成本，提高环境可持续性。在欧洲，德国是领先者，占欧洲地区市场份额的25%，预计将在该地区以最高的年复合增长率增长。

市场动态

对高效数据中心管理的需求不断增加

DCIM解决方案还可以帮助企业提高数据中心的可靠性和正常运行时间。通过对关键基础设施组件（如电力和冷却系统）进行实时监测和分析，DCIM软件可以帮助企业在潜在问题发生之前就发现它们，并采取预防措施，避免停机。

此外，由于对云服务的需求不断增加和能源成本的上升，对高效数据中心管理的需求变得越来越重要。DCIM解决方案可以帮助企业管理其数据中心的能源使用，识别浪费的领域并优化能源消耗，从而降低能源成本并提高环境的可持续性。

因此，对高效数据中心管理的需求正在推动DCIM解决方案的采用，它正在成为希望优化其数据中心运营和降低成本的组织的一个重要工具。

实施的复杂性

由于实施的复杂性，DCIM解决方案可能需要很长的时间来实施，有时长达几个月。这可能会延迟实施DCIM解决方案的好处，使其对一些组织的吸引力降低。实施DCIM解决方案需要数据中心基础设施、IT系统和管理流程方面的大量专业知识。

一些企业内部可能不具备必要的专业知识，或无力聘请专家，这可能会使DCIM解决方案难以有效实施。DCIM解决方案通常需要与其他管理系统和硬件组件集成，这可能是复杂和耗时的。如果整合做得不好，会限制DCIM解决方案的有效性和可用性。

COVID-19影响分析

COVID-19分析包括COVID前情景、COVID情景和COVID后情景以及定价动态（包括大流行期间和之后的定价变化与COVID前情景的比较）、需求-供应谱（由于贸易限制、封锁和后续问题造成的需求和供应转移）、政府倡议（政府机构为恢复市场、部门或行业而采取的倡议）和制造商战略倡议（这里将涵盖制造商为缓解COVID问题所采取的措施）。

目录

第一章：方法和范围

  • 研究方法
  • 报告的研究目标和范围

第二章：定义和概述

第三章：执行摘要

  • 按组件分类的摘要
  • 按应用分析
  • 按部署模式分类
  • 按数据中心分类
  • 按行业垂直分类的摘要
  • 按地区分类

第4章：动态变化

  • 影响因素
    • 驱动因素
      • 对高效数据中心管理的需求不断增长
    • 限制因素
      • 实施的复杂性
    • 机会
    • 影响分析

第五章：行业分析

  • 波特的五力分析
  • 供应链分析
  • 价格分析
  • 监管分析

第六章：COVID-19分析

  • COVID-19的分析
    • COVID-19之前的情况
    • COVID-19期间的情况
    • 后COVID-19或未来的情况
  • 在COVID-19期间的定价动态
  • 需求-供应谱系
  • 大流行期间与市场有关的政府倡议
  • 制造商的战略倡议
  • 结语

第7章：按组件分类

  • 解决方案
  • 服务

第八章：按应用分类

  • 资产管理
  • 容量规划
  • 电力监控
  • 环境监控
  • BI和分析
  • 其他

第九章：按部署模式

  • 企业内部
  • 云计算

第十章：按数据中心分类

  • 企业数据中心
  • 管理型数据中心
  • 主机托管数据中心
  • 云和边缘数据中心

第十一章：按行业垂直分类

  • 银行和金融业
  • 政府和公共领域
  • IT和ITeS
  • 制造业
  • 医疗保健和生命科学
  • 电信业
  • 其他行业

第十二章：按地区划分

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 俄罗斯
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 亚太其他地区
  • 中东和非洲

第13章 ：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 合併和收购分析

第十四章：公司简介

  • Schneider Electric
    • 公司概述
    • 产品组合和描述
    • 财务概况
    • 主要发展情况
  • Vertiv
  • Nlyte Software
  • Panduit
  • CommScope
  • Sunbird Software
  • CA Technologies
  • ABB
  • RF Code
  • FNT Software

第十五章 ：附录

  • 关于我们和组件
简介目录
Product Code: ICT6425

Market Overview

The Global Data Center Infrastructure Management Market size reached US$ 2,001.6 million in 2022 and is projected to witness lucrative growth by reaching up to US$ 4,154.1 million by 2030. The market is growing at a CAGR of 13.8% during the forecast period 2023-2030.

DCIM solutions provide real-time monitoring and analysis of data center infrastructure, allowing organizations to identify potential issues before they occur and take preventive action to avoid downtime or other disruptions. DCIM software can also help organizations to optimize their energy usage, reduce costs and improve environmental sustainability. In Europe, Germany is the leading player, which accounts for 25% of the Europe regional market share and is expected to grow with the highest CAGR in the region.

Market Dynamics

The Growing Need for Efficient Data Center Management

DCIM solutions can also help organizations to improve data center reliability and uptime. By providing real-time monitoring and analysis of critical infrastructure components, such as power and cooling systems, DCIM software can help organizations to identify potential issues before they occur and take preventive action to avoid downtime.

In addition, the need for efficient data center management is becoming increasingly important due to the growing demand for cloud services and the rise in energy costs. DCIM solutions can help organizations to manage the energy usage of their data centers, identify areas of waste and optimize energy consumption, resulting in lower energy costs and improved environmental sustainability.

Therefore, the need for efficient data center management is driving the adoption of DCIM solutions, which are becoming an essential tool for organizations looking to optimize their data center operations and reduce costs.

Complexity of Implementation

Due to the complexity of implementation, DCIM solutions can take a long time to implement, sometimes up to several months. This can delay the benefits of implementing a DCIM solution, making it less attractive to some organizations. Implementing a DCIM solution requires significant expertise in data center infrastructure, IT systems and management processes.

Some organizations may not have the necessary expertise in-house or may not be able to afford to hire experts, which can make it difficult to implement a DCIM solution effectively. DCIM solutions often need to be integrated with other management systems and hardware components, which can be complex and time-consuming. If integration is not done properly, it can limit the effectiveness and usability of the DCIM solution.

COVID-19 Impact Analysis

The COVID-19 Analysis includes Pre-COVID Scenario, COVID Scenario and Post-COVID Scenario along with Pricing Dynamics (Including pricing change during and post-pandemic comparing it with pre-COVID scenarios), Demand-Supply Spectrum (Shift in demand and supply owing to trading restrictions, lockdown and subsequent issues), Government Initiatives (Initiatives to revive market, sector or Industry by Government Bodies) and Manufacturers Strategic Initiatives (What manufacturers did to mitigate the COVID issues will be covered here).

Segment Analysis

The global data center infrastructure management market is segmented based on component, application, deployment model, data center, industry vertical and region.

Owing to Established IT Infrastructures, Limited Internet Connectivity and Cost-effectiveness, On-premises Segment Dominates the Global Market

Many organizations already have well-established IT infrastructures in place, which can make it easier and more cost-effective to implement an on-premises DCIM solution. On-premises deployment also allows organizations to leverage their existing IT expertise and resources. In some cases, organizations may have limited or unreliable internet connectivity, which can make cloud-based solutions less feasible.

On-premises deployment does not require internet connectivity, which can make it a more reliable and stable option. While on-premises deployment may require a significant upfront investment in hardware, software and personnel, over the long term it can be more cost-effective than cloud-based solutions. This is particularly true for organizations with large data centers, where the cost of cloud-based solutions can be prohibitive. The cloud-based development model is expected to capture more than 33% of the total segmental share during the forecast period.

Geographical Analysis

Due to the Early Adoption of DCIM Solutions and the High Concentration of Data Centers in the Region, North America Dominates the Global Data Center Infrastructure Management Market

North America has a high concentration of data centers, particularly in the United States. This has created a strong demand for DCIM solutions, as organizations seek to improve the efficiency and performance of their data centers. The large number of data centers in the region also provides a fertile ground for innovation and the development of new DCIM solutions.

North America has a strong IT infrastructure, with many organizations already equipped with the necessary hardware and software to implement DCIM solutions. This makes it easier and more cost-effective for North American organizations to adopt and optimize DCIM solutions.

Therefore, the early adoption of DCIM solutions, high concentration of data centers, technological advancements, strong IT infrastructure and regulatory compliance requirements have all contributed to North America's dominance in the global DCIM market. However, other regions such as Europe and Asia Pacific are also seeing strong growth in the DCIM market, driven by similar factors.

Competitive Landscape

The major global players include: Schneider Electric, Vertiv, Nlyte Software, Panduit, CommScope, Sunbird Software, CA Technologies, ABB, RF Code and FNT Software.

Why Purchase the Report?

  • To visualize the global data center infrastructure management market segmentation based on component, application, deployment model, data center, industry vertical and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of data center infrastructure management market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as Excel consisting of key products of all the major players.

The Global Data Center Infrastructure Management Market Report Would Provide Approximately 77 Tables, 83 Figures and 245 Pages.

Target Audience 2023

  • Manufacturers / Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Application
  • 3.3. Snippet by Deployment Model
  • 3.4. Snippet by Data Center
  • 3.5. Snippet by Industry Vertical
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. The growing need for efficient data center management
    • 4.1.2. Restraints
      • 4.1.2.1. Complexity of implementation
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID-19
    • 6.1.2. Scenario During COVID-19
    • 6.1.3. Post COVID-19 or Future Scenario
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During the Pandemic
  • 6.5. Manufacturers' Strategic Initiatives
  • 6.6. Conclusion

7. By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Solution*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services

8. By Application

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 8.1.2. Market Attractiveness Index, By Application
  • 8.2. Asset Management*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Capacity Planning
  • 8.4. Power Monitoring
  • 8.5. Environment Monitoring
  • 8.6. BI and Analytics
  • 8.7. Others

9. By Deployment Model

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
    • 9.1.2. Market Attractiveness Index, By Deployment Model
  • 9.2. On-premises*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Cloud

10. By Data Center

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center
    • 10.1.2. Market Attractiveness Index, By Data Center
  • 10.2. Enterprise Data Center*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Managed Data Center
  • 10.4. Colocation Data Center
  • 10.5. Cloud and Edge Data Center

11. By Industry Vertical

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Industry Vertical
    • 11.1.2. Market Attractiveness Index, By Industry Vertical
  • 11.2. BFSI*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Government and Public Sector
  • 11.4. IT and ITeS
  • 11.5. Manufacturing
  • 11.6. Healthcare and Life Sciences
  • 11.7. Telecommunications
  • 11.8. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Industry Vertical
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.8.1. The U.S.
      • 12.2.8.2. Canada
      • 12.2.8.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Industry Vertical
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.8.1. Germany
      • 12.3.8.2. The UK
      • 12.3.8.3. France
      • 12.3.8.4. Italy
      • 12.3.8.5. Russia
      • 12.3.8.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Industry Vertical
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1. Brazil
      • 12.4.8.2. Argentina
      • 12.4.8.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Industry Vertical
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1. China
      • 12.5.8.2. India
      • 12.5.8.3. Japan
      • 12.5.8.4. Australia
      • 12.5.8.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Industry Vertical

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. Schneider Electric*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Vertiv
  • 14.3. Nlyte Software
  • 14.4. Panduit
  • 14.5. CommScope
  • 14.6. Sunbird Software
  • 14.7. CA Technologies
  • 14.8. ABB
  • 14.9. RF Code
  • 14.10. FNT Software

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Components
  • 15.2. Contact Us