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全球資料中心基礎設施管理市場 - 2023-2030年
市場調查報告書
商品編碼
1285058

全球資料中心基礎設施管理市場 - 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個工作天內

價格

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簡介目錄

市場概況

全球資料中心基礎設施管理市場規模在2022年達到20.016億美元，預計到2030年將見證有利可圖的成長，達到41.541億美元。在2023-2030年的預測期內，該市場的年復合成長率為13.8%。

DCIM解決方案提供了對資料中心基礎設施的即時監控和分析，使企業能夠在潛在問題發生之前發現它們，並採取預防措施，以避免停機或其他中斷。 DCIM軟體還可以幫助企業最佳化能源使用，降低成本，提高環境永續性。在歐洲，德國是領先者，佔歐洲地區市場佔有率的25%，預計將在該地區以最高的年復合成長率成長。

市場動態

對高效資料中心管理的需求不斷增加

DCIM解決方案還可以幫助企業提高資料中心的可靠性和正常運行時間。通過對關鍵基礎設施組件（如電力和冷卻系統）進行即時監測和分析，DCIM軟體可以幫助企業在潛在問題發生之前就發現它們，並採取預防措施，避免停機。

此外，由於對雲端服務的需求不斷增加和能源成本的上升，對高效資料中心管理的需求變得越來越重要。 DCIM解決方案可以幫助企業管理其資料中心的能源使用，識別浪費的領域並最佳化能源消耗，從而降低能源成本並提高環境的永續性。

因此，對高效資料中心管理的需求正在推動DCIM解決方案的採用，它正在成為希望最佳化其資料中心營運和降低成本的組織的一個重要工具。

實施的複雜性

由於實施的複雜性，DCIM解決方案可能需要很長的時間來實施，有時長達幾個月。這可能會延遲實施DCIM解決方案的好處，使其對一些組織的吸引力降低。實施DCIM解決方案需要資料中心基礎設施、IT系統和管理流程方面的大量專業知識。

一些企業內部可能不具備必要的專業知識，或無力聘請專家，這可能會使DCIM解決方案難以有效實施。 DCIM解決方案通常需要與其他管理系統和硬體組件整合，這可能是複雜和耗時的。如果整合做得不好，會限制DCIM解決方案的有效性和可用性。

COVID-19影響分析

COVID-19分析包括COVID前情景、COVID情景和COVID後情景以及定價動態（包括大流行期間和之後的定價變化與COVID前情景的比較）、需求-供應譜（由於貿易限制、封鎖和後續問題造成的需求和供應轉移）、政府計劃（政府機構為恢復市場、部門或行業而採取的計劃）和製造商戰略計劃（這裡將涵蓋製造商為緩解COVID問題所採取的措施）。

目錄

第一章：方法和範圍

  • 研究方法
  • 報告的研究目標和範圍

第二章：定義和概述

第三章：執行摘要

  • 按組件分類的摘要
  • 按應用分析
  • 按部署模式分類
  • 按資料中心分類
  • 按行業垂直分類的摘要
  • 按地區分類

第4章：動態變化

  • 影響因素
    • 驅動因素
      • 對高效資料中心管理的需求不斷成長
    • 限制因素
      • 實施的複雜性
    • 機會
    • 影響分析

第五章：行業分析

  • 波特的五力分析
  • 供應鏈分析
  • 價格分析
  • 監管分析

第六章：COVID-19分析

  • COVID-19的分析
    • COVID-19之前的情況
    • COVID-19期間的情況
    • 後COVID-19或未來的情況
  • 在COVID-19期間的定價動態
  • 需求-供應譜系
  • 大流行期間與市場有關的政府計劃
  • 製造商的戰略計劃
  • 結語

第7章：按組件分類

  • 解決方案
  • 服務

第八章：按應用分類

  • 資產管理
  • 容量規劃
  • 電力監控
  • 環境監控
  • BI和分析
  • 其他

第九章：按部署模式

  • 企業內部
  • 雲端計算

第十章：按資料中心分類

  • 企業資料中心
  • 管理型資料中心
  • 主機託管資料中心
  • 雲端和邊緣資料中心

第十一章：按行業垂直分類

  • 銀行和金融業
  • 政府和公共領域
  • IT和ITeS
  • 製造業
  • 醫療保健和生命科學
  • 電信業
  • 其他行業

第十二章：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 俄羅斯
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 亞太其他地區
  • 中東和非洲

第13章：競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 合併和收購分析

第十四章：公司簡介

  • Schneider Electric
    • 公司概述
    • 產品組合和描述
    • 財務概況
    • 主要發展情況
  • Vertiv
  • Nlyte Software
  • Panduit
  • CommScope
  • Sunbird Software
  • CA Technologies
  • ABB
  • RF Code
  • FNT Software

第十五章：附錄

  • 關於我們和組件
簡介目錄
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