PUBLISHER: QYResearch | PRODUCT CODE: 1872084
PUBLISHER: QYResearch | PRODUCT CODE: 1872084
The global market for Data Center Monitoring Solution was estimated to be worth US$ 3271 million in 2024 and is forecast to a readjusted size of US$ 11037 million by 2031 with a CAGR of 18.7% during the forecast period 2025-2031.
Data center monitoring solutions are a technical system that uses hardware sensors, software platforms, and data analysis tools to monitor data center infrastructure (such as power, cooling, and network equipment) and business systems in real time, provide fault warnings, and optimize energy efficiency. Its core functions include:
Infrastructure monitoring: Dynamically track the status of equipment such as UPS, air conditioners, and distribution cabinets. For example, a financial data center reduced cooling energy consumption by 18% through real-time temperature and humidity monitoring.
Business Performance Management: Analyzing application response times using APM tools (such as New Relic), an e-commerce platform improved page loading speed by 30%.
Intelligent Operations and Maintenance Decision-Making: Combining AI algorithms to predict equipment failures, Huawei's FusionManager system can issue early warnings of server hard drive failure risks up to 72 hours in advance.
Application scenarios:
Hyperscale data centers: Alibaba Cloud's Zhangbei data center uses an intelligent reporting system to achieve unified management across multiple centers in different regions.
Edge data centers: Deep Instinct's edge computing appliance supports underground belt conveyor deviation detection, reducing manual inspection costs.
Industry verticals: The financial industry uses UE monitoring (real user experience) to improve the stability of trading systems. A certain bank reduced customer complaint rates by 40%.
Intelligent and automated upgrades
AI-driven predictive maintenance: The NVIDIA DeepStream platform combined with Jetson edge computing terminals enables millisecond-level identification of behaviors such as smoking and open flames by data center personnel.
AIOps integration: The Huahui Data Center Platform supports automated batch operations, improving operational efficiency by 50% and reducing human errors by 70%.
Deep application of digital twins: Tencent Cloud simulates airflow distribution through virtual mirrors to optimize cooling strategies, reducing the PUE of a certain project from 1.5 to 1.25.
Green Energy Conservation and Sustainable Development
Fine-grained energy efficiency management: Ankerui EMS-IDC system integrates power and environmental data to generate energy efficiency reports guiding energy-saving strategies, saving over 10 million yuan in annual electricity costs for a certain cloud computing base.
Renewable Energy Integration: Huawei FusionModule2000 supports photovoltaic and energy storage integration, enabling a European data center to achieve a 90% renewable energy usage rate.
Low-Carbon Certification Drives Adoption: The EU's Data Center Energy Efficiency Directive requires a PUE ≤ 1.3 by 2030, compelling companies to deploy intelligent monitoring systems.
Cloudification and edge computing integration
Cloud-native architecture adoption: Site24x7 supports Kubernetes cluster health assessments, improving fault localization efficiency by 50%.
Edge-side intelligence deployment: Haifan Data's "Ruitong" platform uses edge video analysis to enable real-time alerts for 900 cameras in IDC data centers.
Hybrid deployment model: SolarWinds NPM supports both on-premises and cloud platform resource management, meeting the compliance requirements of multinational enterprises.
Data center monitoring solutions are evolving from "single-point tools" to "omni-intelligent" solutions. The integration of AI, edge computing, and green energy-saving technologies will reshape the industry landscape. Despite challenges such as data silos and compliance costs, the essential nature of these solutions in critical sectors such as finance and healthcare is driving continued market growth. Enterprises must focus on scenario-based innovation (e.g., environmental monitoring + digital twins), ecosystem collaboration (e.g., Huawei + telecom operators), and compliance capabilities (e.g., cryptographic service integration) to secure a competitive edge in the over 100 billion yuan market by 2030. With policies like "East Data, West Computing" being implemented, China is poised to become the fastest-growing regional market globally. Domestic vendors like Huawei and New H3C must accelerate their technological expansion overseas and participate in international standard-setting.
This report aims to provide a comprehensive presentation of the global market for Data Center Monitoring Solution, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Center Monitoring Solution by region & country, by Type, and by Application.
The Data Center Monitoring Solution market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Center Monitoring Solution.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Center Monitoring Solution company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Data Center Monitoring Solution in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Center Monitoring Solution in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.