The automated infrastructure management system market size is expected to see rapid growth in the next few years. It will grow to $4.96 billion in 2028 at a compound annual growth rate (CAGR) of 15.6%. The growth in the forecast period can be attributed to the proliferation of Internet of Things (IoT) devices, the growing volume of data generated, the rising demand for data center optimization, the rise of remote work arrangements, and stringent regulatory requirements and data privacy regulations. Major trends in the forecast period include shift towards edge computing management, AI and machine learning technologies, focus on cybersecurity, emergence of SaaS-based solutions, and hybrid and multi-cloud management.
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Scope Of Automated Infrastructure Management System Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Automated Infrastructure Management System Market Overview
Market Drivers –
The increasing adoption of cloud computing is expected to propel the growth of the automated infrastructure management system market going forward. Cloud computing refers to the provision of computing services, including servers, storage, databases, networking, software, and analytics, on an as-needed basis. The adoption of cloud computing is on the rise due to increasing demand for data analytics, growing emphasis on digital transformation, and increased adoption of digital transformation initiatives. Cloud computing facilitates scalability and accessibility in automated infrastructure management systems by providing centralized data storage, processing power, and remote access to monitoring and management tools. For instance, in December 2023, according to Eurostat, a Luxembourg-based intergovernmental organization, 45.2% of enterprises within the European Union procured cloud computing services, primarily for hosting email systems, storing electronic files, and performing various tasks. Purchases of cloud computing services among EU enterprises rose by 4% in 2023, compared to 2021. Notably, large enterprises exhibited a significant adoption rate, with 77.6% reporting the purchase of such services in 2023, marking a 6% increase from 2021. Therefore, the increasing adoption of cloud computing is driving the growth of the automated infrastructure management system market.
Market Trends –
Major companies operating in the automated infrastructure management system market are focusing on developing innovative solutions, such as cloud automation suites, to gain a competitive edge in the market. A cloud automation suite is a collection of integrated tools and software designed to automate various tasks and processes involved in managing cloud infrastructure and services. For instance, in February 2024, Dell Inc., a US-based technology company, launched a telco cloud automation suite called the Telecom Infrastructure Automation Suite. This suite automates the orchestration and lifecycle management of multi-vendor cloud infrastructure on a large scale. It provides automated configuration and provisioning, infrastructure discovery and automation down to the network’s infrastructure layer with open APIs and Dell services, and telemetry on equipment temperature, central processing unit (CPU), and memory utilization. It unifies infrastructure management, future-proof operations, and eases transformation and the mind with Dell services.
The automated infrastructure management system market covered in this report is segmented –
1) By Component: Hardware, Software, Services, Other Components
2) By Deployment: Cloud-Based, On-Premise Software
3) By Enterprise Size: Large, Small And Medium Size
4) By Application: Fault Identification, Process Control, Traceability, Energy Management, Asset Management, Monitoring And Incident Management, Automated Remediation, Real-Time Analytics
5) By Industry Vertical: Information Technology (IT) And Telecommunications, Banking, Financial Services And Insurance (BFSI), Healthcare, Manufacturing, Retail, Other Industrial Verticals
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Regional Insights –
North America was the largest region in the automated infrastructure management system market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automated infrastructure management system market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the automated infrastructure management system market are Microsoft Corporation, International Business Machines Corporation, Cisco Systems Inc. , Broadcom Inc., Hewlett Packard Enterprise Co., Fujitsu Ltd., TE Connectivity Ltd , Corning Incorporated, CommScope Inc., Nexans Network Solutions NV, Anixter Inc., Virtusa Corporatio, CA Technologies Inc., Belden Inc., CSS Corp., The Siemon Company, PagerDuty Inc., Reichle & De-Massari AG, Chatsworth Products Inc., Daffodil Software Ltd., FNT GmbH, ZPE Systems Inc. , RiT Tech (Intelligence Solutions) Ltd., METZ CONNECT GmbH
Table of Contents
1. Executive Summary
2. Automated Infrastructure Management System Market Report Structure
3. Automated Infrastructure Management System Market Trends And Strategies
4. Automated Infrastructure Management System Market – Macro Economic Scenario
5. Automated Infrastructure Management System Market Size And Growth
…..
27. Automated Infrastructure Management System Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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