Data Center Automation Market
PUBLISHED: 2023 ID: SMRC22976
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Data Center Automation Market

Data Center Automation Market Forecasts to 2028 - Global Analysis By Component (Services, Solution and Other Components), Operating Environment (Linux and other Open Source OS, Windows OS and Unix OS), Solution (Network, Storage and Other Solutions), Deployment (Cloud and On-Premise), End User, Enterprise and By Geography

4.1 (44 reviews)
4.1 (44 reviews)
Published: 2023 ID: SMRC22976

This report covers the impact of COVID-19 on this global market
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Years Covered

2020-2028

Estimated Year Value (2022)

US $13.32 BN

Projected Year Value (2028)

US $41.77 BN

CAGR (2022 - 2028)

20.97%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

North America

Highest Growing Market

Europe


According to Stratistics MRC, the Global Data Center Automation Market is accounted for $13.32 billion in 2022 and is expected to reach $41.77 billion by 2028 growing at a CAGR of 20.97% during the forecast period. A data centre is a building that houses a network of computers and storage devices and is used by businesses and other organisations to process, organise, store, and distribute massive amounts of data. The process of controlling and automating a data centre facility's activities and workflow is known as data centre automation. It assists in automating manual operations, monitoring, management, and maintenance chores carried out by human operators in data centres.

According to a report by IBM, a single manufacturing site can generate more than 2,200 terabytes of data in one month, and a single production line can generate more than 70 terabytes per day–yet most data remain unanalyzed and unsecured.



Market Dynamics:

Driver:

Surge in volume of data

Huge amounts of data are produced every second by the increasing use of smartphones, social media, Internet of Things (IoT) devices, and other internet-enabled gadgets. The epidemic made automation in the data centre’s daily operations more crucial. In response, businesses now spend more money than ever on automation and robots. By eliminating manual activities, automation solutions help operators of data centres deliver IT services more quickly and increase efficiency.

Restraint:

Lack of skilled professionals

With numerous developments on the market, it is crucial to have staff members that are proficient in maintaining and programming cutting-edge technologies. The skills gap in the data centre is growing when it comes to tackling skill shortage. More than half of data centre operators struggle to find employees, according to a research from the Uptime Institute. The anticipated expansion of internet or cloud giants as well as the rising capacity of collocation data centres in Southeast Asia, China, Australia, and other APAC nations are the primary drivers of the increased demand for skilled workers.

Opportunity:

Rapid advancement in technology

The market is anticipated to be driven by the quick technological development that is reshaping data centres, such as server virtualization. In an SDDC concept, virtualization technologies replicate computational power and storage in software. Server virtualization makes it possible for data centres and service providers to accommodate numerous users on a single server by segmenting servers, as opposed to the conventional, wasteful way of providing one server to each user. Virtualization increases scalability since workloads are split among several servers. By ensuring that resources are utilised to their fullest, virtualization also increases efficiency.

Threat:

Data privacy and security issues

The workforce of data centres frequently manages a very complex environment that consists of a varied selection of applications, databases, and competing platforms. Task management challenges might arise when managing this environment through scripting and platform/application-specific scheduling tools because they can be time-consuming and ineffective. In order to keep up with change, these fragmented instruments require frequent updating, which drives up running costs and reduces worker productivity. Additionally, a problem with data security is preventing market growth.

Covid-19 Impact

The COVID-19 epidemic hastened the use of digital services including contactless payments, e-payment, online banking, e-commerce, and others, leading to the production of enormous amounts of data. Work from home opportunities and social isolation also boosted internet usage. For the purpose of providing collaborative software to businesses and preserving data security and safety, they generated a significant need for data centres with strong connectivity, networking, and computing capacity. In order to administer the data centres throughout the social exclusion and lockdown times, data centre automation technologies gained popularity during the crisis.

The server segment is expected to be the largest during the forecast period

The server segment is estimated to have a lucrative growth, due to the development of sufficient network and storage infrastructure and the rising need for effective servers. Among the advantages of server automation are clean architecture, secure and dependable environment setup, greater accessibility and reliability, rapid feedback, software policies, a variety of interfaces and tools, testing, and reversal of deployments.

The cloud segment is expected to have the highest CAGR during the forecast period

The cloud segment is anticipated to witness the fastest CAGR growth during the forecast period. Organisations can supply features and functionalities more effectively and flexibly thanks to cloud deployment. The key benefits of greater cloud use are lower costs and less maintenance. Organisations can use a variety of data centres and cloud platforms for research and mapping by utilising cloud-based solutions.

Region with highest share:

North America is projected to hold the largest market share during the forecast period owing to the existence of the biggest data centres and the quick adoption of automation technology within businesses. Data centre automation is required to reduce manual processes and speed up operations as a result of the rising adoption of IoT devices, smart home devices, and wearable technology across the U.S.

Region with highest CAGR:

Europe is projected to have the highest CAGR over the forecast period, owing to the existence of sizable data centres throughout Germany, the U.K., the Netherlands, and France. The government's initiatives to develop sustainable data centres open up new commercial prospects in the area. The Climate Neutral Data Centre Pact of the European Union seeks to transform the region into the world's first climate-neutral continent.



Key players in the market

Some of the key players profiled in the Data Center Automation Market include Hewlett Packard Enterprise Development LP, FUJITSU, Cisco Systems, Inc., Citrix Systems, Inc., ABB, ServiceNow, VMWare, Oracle, Microsoft, BMC Software, Inc and Arista Networks, Inc.

Key Developments:

In October 2022, Cisco invested in a dedicated India Webex infrastructure that included a new data center and necessary regulatory licenses to accelerate Webex adoption.

In August 2022, ABB collaborated with ATS Global, a solution provider for smart digital transformation, to extend its reach for the data center automation business. Both companies will work together to combine resources, test the effectiveness and advantages of potential collaborations for data center customers with ABB Ability and grow their respective businesses.

In August 2022, Arista acquired software-defined networking provider Pluribus Technology. Through this acquisition, Arista aims to enhance the next phase of the Converged Cloud Fabric offering for next-generation, telco/cloud, and smart edge applications.

In May 2022, Red Hat collaborated with General Motors (GM) to enhance the performance of connected vehicles by connecting them to an edge data center. Through this partnership, Red Hat created an infrastructure to move data from GM's vehicles to the internet.

Components Covered:
• Services
• Solution
• Other Components

Operating Environments Covered:
• Linux and other Open Source OS
• Windows OS
• Unix OS

Solutions Covered:
• Network
• Storage
• Server
• Database
• Other Solutions

Deployments Covered:
• Cloud
• On-Premise

End Users Covered:
• Public sector and utilities
• Manufacturing
• Retail
• Healthcare
• IT and telecom
• Energy
• Banking, Financial Services and Insurance (BFSI)
• Other End Users

Enterprises Covered:
• Small and Medium Sized Enterprises (SMEs)
• Large Size Enterprises

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Data Center Automation Market, By Component
5.1 Introduction
5.2 Services
5.2.1 Installation and support services
5.2.2 Consulting service
5.3 Solution
5.4 Other Components

6 Global Data Center Automation Market, By Operating Environment
6.1 Introduction
6.2 Linux and other Open Source OS
6.3 Windows OS
6.4 Unix OS

7 Global Data Center Automation Market, By Solution
7.1 Introduction
7.2 Network
7.3 Storage
7.4 Server
7.5 Database
7.6 Other Solutions

8 Global Data Center Automation Market, By Deployment
8.1 Introduction
8.2 Cloud
8.3 On-Premise

9 Global Data Center Automation Market, By End User
9.1 Introduction
9.2 Public sector and utilities
9.3 Manufacturing
9.4 Retail
9.5 Healthcare
9.6 IT and telecom
9.7 Energy
9.8 Banking, Financial Services and Insurance (BFSI)
9.9 Other End Users

10 Global Data Center Automation Market, By Enterprise
10.1 Introduction
10.2 Small and Medium Sized Enterprises (SMEs)
10.3 Large Size Enterprises

11 Global Data Center Automation Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.6 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.6 Middle East & Africa
11.6.1 Saudi Arabia
11.6.2 UAE
11.6.3 Qatar
11.6.4 South Africa
11.6.5 Rest of Middle East & Africa

12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies

13 Company Profiling
13.1 Hewlett Packard Enterprise Development LP
13.2 FUJITSU
13.3 Cisco Systems, Inc.
13.4 Citrix Systems, Inc.
13.5 ABB
13.6 ServiceNow
13.7 VMWare
13.8 Oracle
13.9 Microsoft
13.10 BMC Software, Inc.
13.11 Arista Networks, Inc.

List of Tables
1 Global Data Center Automation Market Outlook, By Region (2020-2028) ($MN)
2 Global Data Center Automation Market Outlook, By Component (2020-2028) ($MN)
3 Global Data Center Automation Market Outlook, By Services (2020-2028) ($MN)
4 Global Data Center Automation Market Outlook, By Installation and support services (2020-2028) ($MN)
5 Global Data Center Automation Market Outlook, By Consulting service (2020-2028) ($MN)
6 Global Data Center Automation Market Outlook, By Solution (2020-2028) ($MN)
7 Global Data Center Automation Market Outlook, By Other Components (2020-2028) ($MN)
8 Global Data Center Automation Market Outlook, By Operating Environment (2020-2028) ($MN)
9 Global Data Center Automation Market Outlook, By Linux and other Open Source OS (2020-2028) ($MN)
10 Global Data Center Automation Market Outlook, By Windows OS (2020-2028) ($MN)
11 Global Data Center Automation Market Outlook, By Unix OS (2020-2028) ($MN)
12 Global Data Center Automation Market Outlook, By Solution (2020-2028) ($MN)
13 Global Data Center Automation Market Outlook, By Network (2020-2028) ($MN)
14 Global Data Center Automation Market Outlook, By Storage (2020-2028) ($MN)
15 Global Data Center Automation Market Outlook, By Server (2020-2028) ($MN)
16 Global Data Center Automation Market Outlook, By Database (2020-2028) ($MN)
17 Global Data Center Automation Market Outlook, By Other Solutions (2020-2028) ($MN)
18 Global Data Center Automation Market Outlook, By Deployment (2020-2028) ($MN)
19 Global Data Center Automation Market Outlook, By Cloud (2020-2028) ($MN)
20 Global Data Center Automation Market Outlook, By On-Premise (2020-2028) ($MN)
21 Global Data Center Automation Market Outlook, By End User (2020-2028) ($MN)
22 Global Data Center Automation Market Outlook, By Public sector and utilities (2020-2028) ($MN)
23 Global Data Center Automation Market Outlook, By Manufacturing (2020-2028) ($MN)
24 Global Data Center Automation Market Outlook, By Retail (2020-2028) ($MN)
25 Global Data Center Automation Market Outlook, By Healthcare (2020-2028) ($MN)
26 Global Data Center Automation Market Outlook, By IT and telecom (2020-2028) ($MN)
27 Global Data Center Automation Market Outlook, By Energy (2020-2028) ($MN)
28 Global Data Center Automation Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
29 Global Data Center Automation Market Outlook, By Other End Users (2020-2028) ($MN)
30 Global Data Center Automation Market Outlook, By Enterprise (2020-2028) ($MN)
31 Global Data Center Automation Market Outlook, By Small and Medium Sized Enterprises (SMEs) (2020-2028) ($MN)
32 Global Data Center Automation Market Outlook, By Large Size Enterprises (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
 

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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