首頁 > 市場調查報告書 > 通訊

數據中心

市場調查報告書

商品編碼

1624734

資料中心基礎設施管理軟體市場 - 全球產業規模、佔有率、趨勢、機會和預測，按組件、部署類型、垂直行業、地區和競爭細分，2019-2029F

Data Center Infrastructure Management Software Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Type, By Vertical, By Region & Competition, 2019-2029F

出版日期: 2024年12月31日 | 出版商:

TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2023年全球資料中心基礎設施管理軟體市場價值為20.2億美元，預計2029年將達到36.3億美元，預測期內複合年成長率為10.12%。近年來，在全球各產業廣泛採用的推動下，全球資料中心基礎設施管理 (DCIM) 軟體市場出現了大幅成長。 IT、電信、銀行和金融、醫療保健以及政府等關鍵部門已經認知到 DCIM 軟體是最佳化資料中心營運和提高生產力的重要工具。更嚴格的能源效率標準和對減少碳足跡的高度重視迫使大型組織對先進的 DCIM 解決方案進行大量投資。領先的 DCIM 供應商推出了具有更高可擴展性、更高可靠性和智慧控制的創新產品。這些改進顯著提高了資料中心的效率。此外，人工智慧、物聯網、預測性維護等新興技術的整合正在改變DCIM軟體能力。先進的解決方案現在提供即時效能監控、自動診斷，並產生對基礎設施運作狀況的洞察。這使得資料中心管理者能夠更好地追蹤資產利用率並從其 IT 基礎設施中獲取更多價值。大型企業正在積極與 DCIM 供應商合作，開發滿足其特定營運需求的客製化解決方案。此外，對永續性和減少碳排放的日益重視也帶來了新的機會。隨著各產業數位轉型措施的持續進行，全球 DCIM 軟體市場可望持續成長。預計全球將持續對新能力進行投資。市場透過人工智慧驅動的解決方案支援數據驅動營運的能力將對其長期前景發揮重要作用。

市場概況
預測期	2025-2029
2023 年市場規模	20.2億美元
2029 年市場規模	36.3億美元
2024-2029 年複合年成長率	10.12%
成長最快的細分市場	BFSI
最大的市場	北美洲

主要市場促進因素

對高效資料中心營運的需求不斷增加

對能源效率和永續發展的日益關注

資料中心基礎設施的複雜性不斷增加

主要市場挑戰

與遺留系統的整合挑戰

實施和客製化的複雜性

主要市場趨勢

採用人工智慧和機器學習

與雲端和邊緣運算整合

關注資料中心的永續性和綠色計劃

細分市場洞察

組件洞察

區域洞察

Global Data Center Infrastructure Management Software market was valued at USD 2.02 Billion in 2023 and is expected to reach USD 3.63 Billion by 2029 with a CAGR of 10.12% during the forecast period. Global Data Center Infrastructure Management (DCIM) software market has witnessed substantial growth in recent years, fueled by its widespread adoption across various industries globally. Critical sectors such as IT, telecommunications, banking and finance, healthcare, and government have come to recognize DCIM software as vital tools for optimizing data center operations and improving productivity. Stricter energy efficiency standards and heightened focus on reducing carbon footprint have compelled large organizations to make significant investments in advanced DCIM solutions. Leading DCIM vendors have launched innovative product offerings boasting higher scalability, greater reliability, and intelligent controls. These improvements have significantly enhanced data center efficiency. Furthermore, the integration of emerging technologies such as artificial intelligence, Internet of Things, and predictive maintenance is transforming DCIM software capabilities. Advanced solutions now provide real-time performance monitoring, automated diagnostics, and generate insights into infrastructure health. This allows data center managers to better track asset utilization and extract more value from their IT infrastructure. Large enterprises are actively partnering with DCIM providers to develop customized solutions catering to their specific operational needs. Additionally, growing emphasis on sustainability and reducing carbon emissions is opening new opportunities. The global DCIM software market is poised for sustained growth as digital transformation initiatives across various industries continue. Investments in new capabilities are expected to persist globally. The market's ability to support data-driven operations through AI-powered solutions will be instrumental to its long-term prospects.

Market Overview
Forecast Period	2025-2029
Market Size 2023	USD 2.02 Billion
Market Size 2029	USD 3.63 Billion
CAGR 2024-2029	10.12%
Fastest Growing Segment	BFSI
Largest Market	North America

Key Market Drivers

Increasing Demand for Efficient Data Center Operations

The Data Center Infrastructure Management (DCIM) software market is being driven by the increasing demand for efficient data center operations. As organizations across various industries continue to rely heavily on data centers to store, process, and manage their critical business data, the need for effective management and optimization of these data centers becomes paramount. DCIM software provides comprehensive tools and functionalities to monitor, control, and optimize data center infrastructure, including power usage, cooling systems, asset management, and capacity planning. By implementing DCIM solutions, businesses can gain real-time visibility into their data center operations, identify inefficiencies, and make informed decisions to improve energy efficiency, reduce costs, and enhance overall performance. The growing recognition of the importance of efficient data center operations is driving the adoption of DCIM software across industries, fueling the growth of the market.

Rising Focus on Energy Efficiency and Sustainability

Another significant driver for the Data Center Infrastructure Management Software market is the rising focus on energy efficiency and sustainability. With the increasing demand for data centers, there is a corresponding increase in energy consumption and carbon emissions. This has led to a growing concern among organizations and regulatory bodies regarding the environmental impact of data centers. Stricter energy efficiency standards and regulations are being imposed to reduce carbon footprint and promote sustainable practices in data center operations. DCIM software plays a crucial role in addressing these concerns by providing advanced monitoring and management capabilities to optimize energy usage, identify energy wastage, and implement energy-saving measures. By leveraging DCIM solutions, businesses can track and analyze energy consumption patterns, implement intelligent cooling and power management strategies, and achieve significant energy savings. The growing emphasis on energy efficiency and sustainability is driving the adoption of DCIM software as organizations strive to meet regulatory requirements, reduce operational costs, and demonstrate their commitment to environmental responsibility.

Increasing Complexity of Data Center Infrastructure

The increasing complexity of data center infrastructure is another driver for the Data Center Infrastructure Management Software market. As organizations expand their digital footprint and adopt technologies such as cloud computing, big data analytics, and Internet of Things (IoT), the complexity of their data center infrastructure grows exponentially. Managing and optimizing this complex infrastructure manually becomes challenging and prone to errors. DCIM software provides a centralized platform to monitor and manage the entire data center ecosystem, including servers, storage, networking equipment, and virtualized environments. It offers features such as real-time monitoring, asset tracking, capacity planning, and predictive analytics to ensure optimal performance and availability of critical IT resources. By leveraging DCIM solutions, businesses can streamline their data center operations, improve resource utilization, minimize downtime, and enhance overall efficiency. The increasing complexity of data center infrastructure necessitates the adoption of DCIM software to effectively manage and optimize these complex environments, driving the growth of the market.

In conclusion, the Data Center Infrastructure Management Software market is being driven by the increasing demand for efficient data center operations, rising focus on energy efficiency and sustainability, and the increasing complexity of data center infrastructure. As organizations strive to optimize their data center operations, reduce energy consumption, and manage complex infrastructure, the adoption of DCIM software becomes crucial. The market is expected to continue its growth trajectory as businesses recognize the value of DCIM solutions in improving operational efficiency, reducing costs, and ensuring the sustainability of their data center operations.

Key Market Challenges

Integration Challenges with Legacy Systems

One of the key challenges facing the Data Center Infrastructure Management (DCIM) software market is the integration with legacy systems. Many organizations have existing data center infrastructure and management systems that have been in place for years. These legacy systems may not be compatible with modern DCIM solutions, making the integration process complex and time-consuming. The lack of standardized protocols and interfaces across different systems further complicates the integration efforts.

Integrating DCIM software with legacy systems requires careful planning, customization, and sometimes even the replacement of outdated hardware and software components. This can result in additional costs and disruptions to ongoing operations. Moreover, the integration process may require extensive data migration, mapping, and synchronization, which can be challenging and prone to errors.

Another aspect of integration challenges is the need to ensure interoperability between different vendors' DCIM solutions and other management systems within the data center ecosystem. This requires establishing seamless communication and data exchange between various software and hardware components, such as servers, storage devices, networking equipment, and environmental monitoring systems.

To overcome these integration challenges, organizations need to carefully evaluate their existing infrastructure, identify compatibility issues, and develop a comprehensive integration strategy. Collaboration between DCIM vendors, legacy system providers, and IT teams is crucial to ensure a smooth integration process and minimize disruptions to data center operations.

Complexity of Implementation and Customization

The complexity of implementation and customization is another significant challenge for the Data Center Infrastructure Management Software market. Implementing a DCIM solution involves various stages, including system design, configuration, deployment, and testing. Each stage requires careful planning, coordination, and expertise to ensure a successful implementation.

The customization of DCIM software to meet specific business requirements adds another layer of complexity. Organizations have unique data center infrastructure and management needs, and they often require tailored functionalities and workflows to align with their operational processes. Customizing DCIM software involves defining and implementing custom data models, workflows, reports, and dashboards, which can be time-consuming and resource-intensive.

The complexity of implementation and customization is amplified by the need to train and educate the IT staff on using the new DCIM software effectively. The IT team needs to understand the intricacies of the software, its features, and functionalities to maximize its benefits. This requires investing in training programs and allocating sufficient time for the IT staff to familiarize themselves with the new system.

To address the challenges related to implementation and customization, organizations should engage with experienced DCIM vendors who can provide guidance and support throughout the implementation process. It is essential to conduct a thorough assessment of business requirements, define clear objectives, and establish realistic timelines and milestones. Collaboration between the IT team, DCIM vendors, and other stakeholders is crucial to ensure a successful implementation and customization of the software.

Key Market Trends

Adoption of Artificial Intelligence and Machine Learning

One of the prominent trends in the Data Center Infrastructure Management (DCIM) software market is the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies. AI and ML algorithms are being integrated into DCIM solutions to provide advanced analytics, predictive capabilities, and automation. These technologies enable data center operators to gain deeper insights into their infrastructure, identify patterns, and make data-driven decisions.

AI-powered DCIM solutions can analyze vast amounts of data collected from various sensors and devices within the data center. They can detect anomalies, predict potential failures, and recommend proactive measures to optimize performance and prevent downtime. For example, AI algorithms can analyze temperature and humidity data to optimize cooling systems, or predict equipment failures based on historical data and recommend maintenance actions.

Machine learning algorithms can continuously learn from data center operations, enabling the DCIM software to adapt and improve over time. This helps in optimizing resource allocation, capacity planning, and energy management. ML algorithms can also automate routine tasks, such as asset discovery and inventory management, freeing up IT staff to focus on more strategic initiatives.

The adoption of AI and ML in DCIM software is driven by the increasing complexity of data center operations and the need for real-time insights and automation. As organizations strive to optimize their data center performance, reduce costs, and enhance efficiency, AI-powered DCIM solutions are becoming essential tools in their digital transformation journey.

Integration with Cloud and Edge Computing

Another significant trend in the Data Center Infrastructure Management Software market is the integration with cloud and edge computing environments. With the rapid growth of cloud services and the proliferation of edge computing devices, organizations are adopting hybrid IT infrastructures that combine on-premises data centers, cloud resources, and edge computing nodes.

DCIM software is evolving to support the management and monitoring of these distributed and heterogeneous environments. Integration with cloud platforms allows organizations to gain centralized visibility and control over their entire infrastructure, regardless of its location. This enables efficient resource allocation, workload management, and capacity planning across different environments.

Furthermore, the rise of edge computing, where data processing and storage occur closer to the source of data generation, presents unique challenges in managing and monitoring these distributed edge nodes. DCIM solutions are being enhanced to provide real-time monitoring, remote management, and predictive analytics for edge computing infrastructure. This enables organizations to ensure the availability, performance, and security of their edge computing deployments.

The integration of DCIM software with cloud and edge computing environments is driven by the need for seamless management and optimization of hybrid IT infrastructures. As organizations embrace the flexibility and scalability offered by cloud and edge computing, DCIM solutions that can effectively manage these distributed environments will be in high demand. Vertiv has introduced a new high-density data center infrastructure solutions portfolio. The Vertiv 360AI solutions are designed to accelerate AI adoption by offering pre-engineered infrastructure, digitized management, and comprehensive services, enabling up to twice the deployment speed of traditional infrastructure installations to meet the increased cooling and power demands of advanced computing IT stacks.

Focus on Data Center Sustainability and Green Initiatives

A significant trend shaping the Data Center Infrastructure Management Software market is the increasing focus on data center sustainability and green initiatives. As data centers continue to consume significant amounts of energy and contribute to carbon emissions, organizations are under pressure to reduce their environmental impact and operate more sustainably.

DCIM software plays a crucial role in supporting sustainability efforts by providing tools and functionalities to optimize energy usage, monitor power consumption, and implement energy-saving measures. DCIM solutions can track and analyze energy consumption patterns, identify inefficiencies, and recommend strategies to improve energy efficiency. This includes optimizing cooling systems, implementing virtualization techniques, and leveraging power management features.

Furthermore, DCIM software can help organizations monitor and manage their carbon footprint by tracking and reporting on energy usage and emissions. This enables businesses to comply with regulatory requirements, demonstrate their commitment to sustainability, and meet the expectations of environmentally conscious customers.

The focus on data center sustainability and green initiatives is driven by regulatory pressures, cost-saving opportunities, and the growing awareness of environmental responsibility. As organizations strive to achieve their sustainability goals, DCIM solutions that enable efficient energy management and support green initiatives will be in high demand.

Segmental Insights

Component Insights

In 2023, the solutions segment dominated the Data Center Infrastructure Management (DCIM) software market and is expected to maintain its dominance during the forecast period. Solutions in the DCIM market refer to the software applications and platforms that provide comprehensive functionalities for monitoring, managing, and optimizing data center infrastructure.

The dominance of the solutions segment can be attributed to several factors. Organizations across various industries have recognized the importance of efficient data center operations and the need for comprehensive management solutions. DCIM solutions offer features such as real-time monitoring, asset management, capacity planning, power and cooling management, and security management. These functionalities enable businesses to gain visibility into their data center infrastructure, identify inefficiencies, and make informed decisions to improve performance and reduce costs.

The increasing complexity of data center infrastructure has driven the demand for robust and scalable solutions. With the adoption of technologies such as cloud computing, big data analytics, and Internet of Things (IoT), data centers have become more intricate and dynamic. DCIM solutions provide the necessary tools and capabilities to manage and optimize these complex environments effectively. They enable organizations to track and manage assets, monitor power and cooling systems, ensure compliance with regulations, and plan for future capacity needs.

The solutions segment has witnessed significant advancements in recent years, with vendors continuously innovating and enhancing their offerings. DCIM software providers have focused on developing user-friendly interfaces, integrating artificial intelligence and machine learning capabilities, and improving automation features. These advancements have made DCIM solutions more powerful, intuitive, and adaptable to the evolving needs of data center operators.

The solutions segment is expected to maintain its dominance in the DCIM software market during the forecast period. The increasing adoption of digital transformation initiatives, the growing demand for energy-efficient data center operations, and the need for real-time insights and automation will continue to drive the demand for comprehensive DCIM solutions. Additionally, the ongoing advancements in technology, such as the integration of AI and ML, will further enhance the capabilities of DCIM solutions, solidifying the dominance of the solutions segment in the market.

Regional Insights

In 2023, North America dominated the Data Center Infrastructure Management (DCIM) software market and is expected to maintain its dominance during the forecast period. North America encompasses countries such as the United States and Canada, which are known for their advanced technological infrastructure and widespread adoption of data center technologies.

The dominance of North America in the DCIM software market can be attributed to several factors. The region has a high concentration of large enterprises and data center facilities, particularly in sectors such as IT, telecommunications, finance, and healthcare. These industries heavily rely on data centers to store, process, and manage their vast amounts of data, driving the demand for robust DCIM solutions.

North America has been at the forefront of technological advancements and digital transformation initiatives. The region has witnessed significant investments in cloud computing, big data analytics, Internet of Things (IoT), and other emerging technologies that drive the complexity and scale of data center infrastructure. As a result, there is a strong need for effective management and optimization of these data centers, which fuels the demand for DCIM software.

North America has a mature and well-established IT infrastructure ecosystem. The region is home to several leading DCIM software vendors and technology providers, offering a wide range of solutions and services. The presence of these established players, along with their strong customer base and extensive industry partnerships, contributes to the dominance of North America in the DCIM software market.

Key Market Players

Schneider Electric SE
Vertiv Group Corp.
Nlyte Software Limited
Panduit Corp
Sunbird Software, Inc.
CommScope, Inc
RACKWISE DCiM
Aplena, Inc.
Raritan Inc.
Eaton Corporation plc

Report Scope:

In this report, the Global Data Center Infrastructure Management Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Center Infrastructure Management Software Market, By Component:

Solutions
services

Data Center Infrastructure Management Software Market, By Deployment Type:

On-premises
cloud-based

Data Center Infrastructure Management Software Market, By Vertical:

IT and telecom
BFSI
Government
Healthcare
Retail
Manufacturing
Energy

Data Center Infrastructure Management Software Market, By Region:

North America
- United States
- Canada
- Mexico
Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
South America
- Brazil
- Argentina
- Colombia
Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
- Turkey
- Egypt

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Center Infrastructure Management Software Market.

Available Customizations:

Global Data Center Infrastructure Management Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

1. Service Overview

1.1. Market Definition
1.2. Scope of the Market
- 1.2.1. Markets Covered
- 1.2.2. Years Considered for Study
- 1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
- 2.5.1. Secondary Research
- 2.5.2. Primary Research
2.6. Approach for the Market Study
- 2.6.1. The Bottom-Up Approach
- 2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
- 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Data Center Infrastructure Management Software Market Overview

6. Global Data Center Infrastructure Management Software Market Outlook

6.1. Market Size & Forecast
- 6.1.1. By Value
6.2. Market Share & Forecast
- 6.2.1. By Component (Solutions, services)
- 6.2.2. By Deployment Type (On-premises, cloud-based)
- 6.2.3. By Vertical (IT and telecom, BFSI, government, healthcare, retail, manufacturing, energy)
- 6.2.4. By Region
6.3. By Company (2023)
6.4. Market Map

7. North America Data Center Infrastructure Management Software Market Outlook

7.1. Market Size & Forecast
- 7.1.1. By Value
7.2. Market Share & Forecast
- 7.2.1. By Component
- 7.2.2. By Deployment Type
- 7.2.3. By Vertical
- 7.2.4. By Country
7.3. North America: Country Analysis
- 7.3.1. United States Data Center Infrastructure Management Software Market Outlook
  - 7.3.1.1. Market Size & Forecast
    - 7.3.1.1.1. By Value
  - 7.3.1.2. Market Share & Forecast
    - 7.3.1.2.1. By Component
    - 7.3.1.2.2. By Deployment Type
    - 7.3.1.2.3. By Vertical
- 7.3.2. Canada Data Center Infrastructure Management Software Market Outlook
  - 7.3.2.1. Market Size & Forecast
    - 7.3.2.1.1. By Value
  - 7.3.2.2. Market Share & Forecast
    - 7.3.2.2.1. By Component
    - 7.3.2.2.2. By Deployment Type
    - 7.3.2.2.3. By Vertical
- 7.3.3. Mexico Data Center Infrastructure Management Software Market Outlook
  - 7.3.3.1. Market Size & Forecast
    - 7.3.3.1.1. By Value
  - 7.3.3.2. Market Share & Forecast
    - 7.3.3.2.1. By Component
    - 7.3.3.2.2. By Deployment Type
    - 7.3.3.2.3. By Vertical

8. Europe Data Center Infrastructure Management Software Market Outlook

8.1. Market Size & Forecast
- 8.1.1. By Value
8.2. Market Share & Forecast
- 8.2.1. By Component
- 8.2.2. By Deployment Type
- 8.2.3. By Vertical
- 8.2.4. By Country
8.3. Europe: Country Analysis
- 8.3.1. Germany Data Center Infrastructure Management Software Market Outlook
  - 8.3.1.1. Market Size & Forecast
    - 8.3.1.1.1. By Value
  - 8.3.1.2. Market Share & Forecast
    - 8.3.1.2.1. By Component
    - 8.3.1.2.2. By Deployment Type
    - 8.3.1.2.3. By Vertical
- 8.3.2. United Kingdom Data Center Infrastructure Management Software Market Outlook
  - 8.3.2.1. Market Size & Forecast
    - 8.3.2.1.1. By Value
  - 8.3.2.2. Market Share & Forecast
    - 8.3.2.2.1. By Component
    - 8.3.2.2.2. By Deployment Type
    - 8.3.2.2.3. By Vertical
- 8.3.3. Italy Data Center Infrastructure Management Software Market Outlook
  - 8.3.3.1. Market Size & Forecast
    - 8.3.3.1.1. By Value
  - 8.3.3.2. Market Share & Forecasty
    - 8.3.3.2.1. By Component
    - 8.3.3.2.2. By Deployment Type
    - 8.3.3.2.3. By Vertical
- 8.3.4. France Data Center Infrastructure Management Software Market Outlook
  - 8.3.4.1. Market Size & Forecast
    - 8.3.4.1.1. By Value
  - 8.3.4.2. Market Share & Forecast
    - 8.3.4.2.1. By Component
    - 8.3.4.2.2. By Deployment Type
    - 8.3.4.2.3. By Vertical
- 8.3.5. Spain Data Center Infrastructure Management Software Market Outlook
  - 8.3.5.1. Market Size & Forecast
    - 8.3.5.1.1. By Value
  - 8.3.5.2. Market Share & Forecast
    - 8.3.5.2.1. By Component
    - 8.3.5.2.2. By Deployment Type
    - 8.3.5.2.3. By Vertical

9. Asia-Pacific Data Center Infrastructure Management Software Market Outlook

9.1. Market Size & Forecast
- 9.1.1. By Value
9.2. Market Share & Forecast
- 9.2.1. By Component
- 9.2.2. By Deployment Type
- 9.2.3. By Vertical
- 9.2.4. By Country
9.3. Asia-Pacific: Country Analysis
- 9.3.1. China Data Center Infrastructure Management Software Market Outlook
  - 9.3.1.1. Market Size & Forecast
    - 9.3.1.1.1. By Value
  - 9.3.1.2. Market Share & Forecast
    - 9.3.1.2.1. By Component
    - 9.3.1.2.2. By Deployment Type
    - 9.3.1.2.3. By Vertical
- 9.3.2. India Data Center Infrastructure Management Software Market Outlook
  - 9.3.2.1. Market Size & Forecast
    - 9.3.2.1.1. By Value
  - 9.3.2.2. Market Share & Forecast
    - 9.3.2.2.1. By Component
    - 9.3.2.2.2. By Deployment Type
    - 9.3.2.2.3. By Vertical
- 9.3.3. Japan Data Center Infrastructure Management Software Market Outlook
  - 9.3.3.1. Market Size & Forecast
    - 9.3.3.1.1. By Value
  - 9.3.3.2. Market Share & Forecast
    - 9.3.3.2.1. By Component
    - 9.3.3.2.2. By Deployment Type
    - 9.3.3.2.3. By Vertical
- 9.3.4. South Korea Data Center Infrastructure Management Software Market Outlook
  - 9.3.4.1. Market Size & Forecast
    - 9.3.4.1.1. By Value
  - 9.3.4.2. Market Share & Forecast
    - 9.3.4.2.1. By Component
    - 9.3.4.2.2. By Deployment Type
    - 9.3.4.2.3. By Vertical
- 9.3.5. Australia Data Center Infrastructure Management Software Market Outlook
  - 9.3.5.1. Market Size & Forecast
    - 9.3.5.1.1. By Value
  - 9.3.5.2. Market Share & Forecast
    - 9.3.5.2.1. By Component
    - 9.3.5.2.2. By Deployment Type
    - 9.3.5.2.3. By Vertical

10. South America Data Center Infrastructure Management Software Market Outlook

10.1. Market Size & Forecast
- 10.1.1. By Value
10.2. Market Share & Forecast
- 10.2.1. By Component
- 10.2.2. By Deployment Type
- 10.2.3. By Vertical
- 10.2.4. By Country
10.3. South America: Country Analysis
- 10.3.1. Brazil Data Center Infrastructure Management Software Market Outlook
  - 10.3.1.1. Market Size & Forecast
    - 10.3.1.1.1. By Value
  - 10.3.1.2. Market Share & Forecast
    - 10.3.1.2.1. By Component
    - 10.3.1.2.2. By Deployment Type
    - 10.3.1.2.3. By Vertical
- 10.3.2. Argentina Data Center Infrastructure Management Software Market Outlook
  - 10.3.2.1. Market Size & Forecast
    - 10.3.2.1.1. By Value
  - 10.3.2.2. Market Share & Forecast
    - 10.3.2.2.1. By Component
    - 10.3.2.2.2. By Deployment Type
    - 10.3.2.2.3. By Vertical
- 10.3.3. Colombia Data Center Infrastructure Management Software Market Outlook
  - 10.3.3.1. Market Size & Forecast
    - 10.3.3.1.1. By Value
  - 10.3.3.2. Market Share & Forecast
    - 10.3.3.2.1. By Component
    - 10.3.3.2.2. By Deployment Type
    - 10.3.3.2.3. By Vertical

11. Middle East and Africa Data Center Infrastructure Management Software Market Outlook

11.1. Market Size & Forecast
- 11.1.1. By Value
11.2. Market Share & Forecast
- 11.2.1. By Component
- 11.2.2. By Deployment Type
- 11.2.3. By Vertical
- 11.2.4. By Country
11.3. MEA: Country Analysis
- 11.3.1. South Africa Data Center Infrastructure Management Software Market Outlook
  - 11.3.1.1. Market Size & Forecast
    - 11.3.1.1.1. By Value
  - 11.3.1.2. Market Share & Forecast
    - 11.3.1.2.1. By Component
    - 11.3.1.2.2. By Deployment Type
    - 11.3.1.2.3. By Vertical
- 11.3.2. Saudi Arabia Data Center Infrastructure Management Software Market Outlook
  - 11.3.2.1. Market Size & Forecast
    - 11.3.2.1.1. By Value
  - 11.3.2.2. Market Share & Forecast
    - 11.3.2.2.1. By Component
    - 11.3.2.2.2. By Deployment Type
    - 11.3.2.2.3. By Vertical
- 11.3.3. UAE Data Center Infrastructure Management Software Market Outlook
  - 11.3.3.1. Market Size & Forecast
    - 11.3.3.1.1. By Value
  - 11.3.3.2. Market Share & Forecast
    - 11.3.3.2.1. By Component
    - 11.3.3.2.2. By Deployment Type
    - 11.3.3.2.3. By Vertical
- 11.3.4. Kuwait Data Center Infrastructure Management Software Market Outlook
  - 11.3.4.1. Market Size & Forecast
    - 11.3.4.1.1. By Value
  - 11.3.4.2. Market Share & Forecast
    - 11.3.4.2.1. By Component
    - 11.3.4.2.2. By Deployment Type
    - 11.3.4.2.3. By Vertical
- 11.3.5. Turkey Data Center Infrastructure Management Software Market Outlook
  - 11.3.5.1. Market Size & Forecast
    - 11.3.5.1.1. By Value
  - 11.3.5.2. Market Share & Forecast
    - 11.3.5.2.1. By Component
    - 11.3.5.2.2. By Deployment Type
    - 11.3.5.2.3. By Vertical
- 11.3.6. Egypt Data Center Infrastructure Management Software Market Outlook
  - 11.3.6.1. Market Size & Forecast
    - 11.3.6.1.1. By Value
  - 11.3.6.2. Market Share & Forecast
    - 11.3.6.2.1. By Component
    - 11.3.6.2.2. By Deployment Type
    - 11.3.6.2.3. By Vertical

12. Market Dynamics

12.1. Drivers
12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

14.1. Schneider Electric SE
- 14.1.1. Business Overview
- 14.1.2. Key Revenue and Financials
- 14.1.3. Recent Developments
- 14.1.4. Key Personnel/Key Contact Person
- 14.1.5. Key Product/Services Offered
14.2. Vertiv Group Corp.
- 14.2.1. Business Overview
- 14.2.2. Key Revenue and Financials
- 14.2.3. Recent Developments
- 14.2.4. Key Personnel/Key Contact Person
- 14.2.5. Key Product/Services Offered
14.3. Nlyte Software Limited
- 14.3.1. Business Overview
- 14.3.2. Key Revenue and Financials
- 14.3.3. Recent Developments
- 14.3.4. Key Personnel/Key Contact Person
- 14.3.5. Key Product/Services Offered
14.4. Panduit Corp
- 14.4.1. Business Overview
- 14.4.2. Key Revenue and Financials
- 14.4.3. Recent Developments
- 14.4.4. Key Personnel/Key Contact Person
- 14.4.5. Key Product/Services Offered
14.5. Sunbird Software, Inc.
- 14.5.1. Business Overview
- 14.5.2. Key Revenue and Financials
- 14.5.3. Recent Developments
- 14.5.4. Key Personnel/Key Contact Person
- 14.5.5. Key Product/Services Offered
14.6. CommScope, Inc
- 14.6.1. Business Overview
- 14.6.2. Key Revenue and Financials
- 14.6.3. Recent Developments
- 14.6.4. Key Personnel/Key Contact Person
- 14.6.5. Key Product/Services Offered
14.7. RACKWISE DCiM
- 14.7.1. Business Overview
- 14.7.2. Key Revenue and Financials
- 14.7.3. Recent Developments
- 14.7.4. Key Personnel/Key Contact Person
- 14.7.5. Key Product/Services Offered
14.8. Aplena, Inc.
- 14.8.1. Business Overview
- 14.8.2. Key Revenue and Financials
- 14.8.3. Recent Developments
- 14.8.4. Key Personnel/Key Contact Person
- 14.8.5. Key Product/Services Offered
14.9. Raritan Inc.
- 14.9.1. Business Overview
- 14.9.2. Key Revenue and Financials
- 14.9.3. Recent Developments
- 14.9.4. Key Personnel/Key Contact Person
- 14.9.5. Key Product/Services Offered
14.10. Eaton Corporation plc
- 14.10.1. Business Overview
- 14.10.2. Key Revenue and Financials
- 14.10.3. Recent Developments
- 14.10.4. Key Personnel/Key Contact Person
- 14.10.5. Key Product/Services Offered