Data Center Automation Market (By Solution: Network automation, Server automation, Storage automation; By Service: Consulting service, Installation and support services; By Deployment: On-Premises, Cloud; By Enterprise: Large Size Enterprises, Small and Medium Sized Enterprises; By Vertical: Telecom and Information Technology, Media and Entertainment, Healthcare, Banking, Others)- Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032
The global data center automation market size was reached at USD 7.85 billion in 2022 and is projected to hit around USD 28.58 billion by 2032, growing at a CAGR of 13.79% during the forecast period from 2023 to 2032.
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Data center automation manages and executes routine workflows and techniques such as scheduling, monitoring, maintenance, application, and delivery without human intervention. Automation of data centers improves agility and operational efficiency. It reduces the time IT spends on routine tasks and enables them to provide services on demand in a repeatable, automated manner. End users can then quickly consume these services.
Report Coverage | Details |
Market Size in 2023 | USD 8.93 Billion |
Market Size by 2032 | USD 28.58 Billion |
Growth Rate from 2023 to 2032 | CAGR of 13.79% |
Largest Market | North America |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Segments Covered | By Solution, By Service, By Deployment, By Enterprise and By Vertical |
Regions Covered | North America, Europe, Asia-Pacific, Latin America and Middle East & Africa |
Drivers:
The growing global use of the internet and networking has significantly increased the demand for computing power, additional storage space and complex networking. This requirement has caused infrastructure development in current data centers, raising capital and operating expenditures for data centers and enterprises. This expansion has also enhanced the complication of networking, integration, and resource pooling in data centers. These factors are critical to the growth of the global data center automation market.
To address the concerns of the growing need for resource pooling, networking simplification, and overall data center management, innovators developed the complex conception of data center automation, also known as Software-Defined Data Centers (SDDCs). This enables conventional data center operators to level up their current infrastructure effortlessly, resulting in lower overheads. This additionally contributes to the integration of server storage and networking and the streamlined management of all resources. Data center automation assists enterprises and service providers in managing their active data centers and networks by overcoming the challenges of scalability, flexibility, manageability, and cost reduction.
Restraints:
Lack of skilled professionals
Given the number of new technology innovations on the market, it is vital to have employees who are skilled in maintaining and programming advanced technologies. When addressing skill shortages, the data center skills difference is broadening. According to a study, more than half of data center workers need help recruiting staff as of April 2021. Moreover, the number of employees required to operate global data centers is expected to rise from 2 million in 2019 to approximately 2.3 million in 2025, implying that the number will increase even further.
According to the survey, 29% of respondents needed help recruiting cloud professionals, while 26% had difficulty recruiting data center facilities, engineering, and technicians. Furthermore, 25% of respondents reported needing help finding qualified candidates for network security, IT and data center management, and DevOps. Thus, the lack of skilled professionals restricts the market growth.
Opportunity:
Rapid advancement in technology
The rapid advancement in technology transforming data centers, such as server virtualization, is expected to drive the market. Many manag
ed service providers (MSPs) and data centers are migrating to Software-Defined Data Centers to reduce infrastructure burdens (SDDCs). Virtualization technologies recreate computing power and storage in software form in an SDDC model. In contrast to the traditional, inefficient method of issuing one server to each user, server virtualization enables data centers and service providers to house multiple users on a single server by segmenting servers.
Since workloads are distributed across multiple servers, virtualization improves scalability. This model effectively functions as a cloud model, with the service provider allocating data storage and processing power on an 'as needed' basis. Virtualization also improves efficiency by ensuring that resources are used to their full potential.
COVID-19 Impact:
COVID-19 had a positive impact on the data center automation market. The pandemic led to an increase in the adoption of digital services, such as e-commerce, contactless payments, e-payment, online banking, and others. This resulted in the generation of vast amounts of data. Moreover, there was a rise in internet traffic due to working from home and social distancing. Therefore there was a massive demand for data centre smooth connectivity, computing power for collaborative software for the organizations and maintaining data security and safety. Thus, the data center automation market was fueled by the crises of managing data centers during the lockdown.
Based on the solution segment, the data center automation market is segmented into network automation, server automation, and storage automation. In 2022, the server automation segment accounted for the largest market share of 52% and is expected to grow at a faster rate during the forecast period.
The growth of the segment is driven by the growing demand for efficient servers, which led to adequate network and storage facilities. Server automation benefits include clean architecture, secure and reliable, more accessible and reliable environment setup, instant feedback, software policies, range of interfaces and tools, testing and rollback of deployments. Server automation can help ease and accelerate the deployment process in various ways, beginning with the emergence of test environments.
Test environments that employ the same procedures as production enables developers to see how new features perform before releasing them to the final customer. Thus, server automation combines task and process automation to improve application deployment and administration across virtual and physical servers and provides end-to-end management via automated workflows, which reduce human errors.
The data center automation market is segmented based on services: consulting, installation, and support services. In 2022, the installation and support services segment accounted for the largest market share. All services provided to set up and integrate all data center management processes into one unified, simple, and highly efficient platform are referred to as installation and integration services.
Based on deployment, the data center automation market is segmented into on-premises and cloud. In 2022, the cloud segment accounted for the largest market share at about 52%. Businesses provide features and functions with greater efficiency and flexibility due to cloud deployment and growing cloud adoption reduces costs and maintenance requirements.
Organizations that use cloud-based solutions can gain access to a large number of data centers and cloud platforms for analysis and mapping.
Based on the enterprise, the market is segmented into large-size enterprises and small-size enterprises. In 2022, the large size enterprise accounted for the largest market share of about 70% and is expected to grow faster during the forecast period. Companies must store massive volumes of daily data due to the rise of complex business tools such as data analytics and big data. Multinational corporations typically select data centers with superior data security, fueling segment growth.
Based on the vertical segment, the market is segmented into telecom and information technology (IT), media and entertainment, healthcare, banking, Financial Services and Insurance (BFSI), Public Sector, Manufacturing, Retail, and Others. In 2022, the Telecom& IT segment accounted for the largest market share. This is primarily due to the advancement of mobile technologies and the increasing demand for high-speed data services. The expansion of the IT and telecommunications industries benefited the economy by creating new jobs and business opportunities. Consumer prices have decreased due to increased competition among service providers.
In 2022, North America dominated the global data center automation market with the highest share of around 42%. The growth of this region is due to technological advancements and their adoption. It has a well-equipped infrastructure and the financial means to purchase data center automation software solutions. Furthermore, using data center automation tools improves efficiency and lowers costs for data center operations such as incident and event management. End-user industries can use it to monitor infrastructure, applications, performance, and security features.
In North America, data center automation solutions used in industries such as BFSI, IT & telecom, and media & entertainment are rapidly increasing. However, due to the large number of people who use social media and the presence of developing countries such as India, China, and South Korea, Asia-Pacific is the dominant region in the global data center automation market.
Market players attempt to increase their market share through investments, partnerships, acquisitions, and mergers. Businesses are also investing in the development of new products. Furthermore, they are concentrating on maintaining competitive pricing. Some of the prominent market players include:
Segments Covered in the Report:
By Solution
By Service
By Deployment
By Enterprise
By Vertical
By Geography
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Data Center Automation Market
5.1. COVID-19 Landscape: Data Center Automation Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Data Center Automation Market, By Solution
8.1. Data Center Automation Market, by Solution, 2023-2032
8.1.1. Network automation
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Server automation
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Data Center Automation Market, By Service
9.1. Data Center Automation Market, by Service, 2023-2032
9.1.1. Consulting service
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Installation and support services
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Data Center Automation Market, By Deployment
10.1. Data Center Automation Market, by Deployment, 2023-2032
10.1.1. On-Premises
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Cloud
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Data Center Automation Market, By Enterprise
11.1. Data Center Automation Market, by Enterprise, 2023-2032
11.1.1. Large Size Enterprises
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Small and Medium Sized Enterprises (SMEs)
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Data Center Automation Market, By Vertical
12.1. Data Center Automation Market, by Vertical, 2023-2032
12.1.1. Telecom and Information Technology (IT)
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Media and Entertainment
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Healthcare
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Banking
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Financial Services and Insurance (BFSI)
12.1.5.1. Market Revenue and Forecast (2020-2032)
12.1.6. Public Sector
12.1.6.1. Market Revenue and Forecast (2020-2032)
12.1.7. Manufacturing
12.1.7.1. Market Revenue and Forecast (2020-2032)
12.1.8. Retail
12.1.8.1. Market Revenue and Forecast (2020-2032)
12.1.9. Others
12.1.9.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Data Center Automation Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Solution (2020-2032)
13.1.2. Market Revenue and Forecast, by Service (2020-2032)
13.1.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.1.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Solution (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Service (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.1.6.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Solution (2020-2032)
13.1.7.2. Market Revenue and Forecast, by Service (2020-2032)
13.1.7.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.7.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.1.7.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Solution (2020-2032)
13.2.2. Market Revenue and Forecast, by Service (2020-2032)
13.2.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.2.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Solution (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Service (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.7. Market Revenue and Forecast, by Enterprise (2020-2032)
13.2.8. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Solution (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Service (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.10. Market Revenue and Forecast, by Enterprise (2020-2032)
13.2.11. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Solution (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Service (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.2.13. Market Revenue and Forecast, by Vertical (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Solution (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Service (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.2.15. Market Revenue and Forecast, by Vertical (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Solution (2020-2032)
13.3.2. Market Revenue and Forecast, by Service (2020-2032)
13.3.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.3.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Solution (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Service (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.3.7. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Solution (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Service (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.3.9. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Solution (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Service (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.3.10.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Solution (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Service (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.3.11.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Solution (2020-2032)
13.4.2. Market Revenue and Forecast, by Service (2020-2032)
13.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.4.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Solution (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Service (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.4.7. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Solution (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Service (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.4.9. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Solution (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Service (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.4.10.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Solution (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Service (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.4.11.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Solution (2020-2032)
13.5.2. Market Revenue and Forecast, by Service (2020-2032)
13.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.5.5. Market Revenue and Forecast, by Vertical (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Solution (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Service (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.5.7. Market Revenue and Forecast, by Vertical (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Solution (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Service (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.5.8.5. Market Revenue and Forecast, by Vertical (2020-2032)
Chapter 14. Company Profiles
14.1. Cisco Systems Inc.
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. ABB Limited
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Oracle Corporation
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Microsoft Corporation
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. BMC Software
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. ServiceNow
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. Citrix Systems, Inc
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. Hewlett Packard Enterprise Development LP
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. FUJITSU
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. VMWare
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
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