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The Data Center Automation Market size was valued at USD 9.2 Billion in 2023. It is expected to hit USD 33.42 Billion by 2032 and grow at a CAGR of 15.41% over the forecast period of 2024-2032.
The Data center automation market growth is driven by the growing adoption of 5G networking tech and the growing popularity of hybrid cloud designs. The need for data center automation is increasing as companies invest more in building a dependable data center infrastructure. The increase in cloud computing usage, driven by the growing trend of working from home and the popularity of mobile streaming apps, is predicted to generate significant opportunities for the market. The increased focus on privacy and security prompted a growth in the automation sector. The volume and portability of healthcare data have greatly increased due to digitization. The growth in virtual Electronic Health Records (EHRs) and online prescriptions is the main healthcare providers invest money into data centers because of the increased storage need. Hartford HealthCare partnered with Google Cloud in November 2022 to accelerate the health gadget's digital transformation, data analytics and affected person access. The corporations will work together to harness the capability of patient information from Hartford HealthCare, which is regularly tough to get admission to and utilize because of being disorganized or buried in increasingly more complicated EHRs.
The increase in the global data center automation market is a result of various factors including the growing use of cloud services, video streaming platforms, social media, and Internet of Things (IoT) devices in businesses. Furthermore, with the advent of the 5G network and the growing need for enhanced data center efficiency due to surging data amounts, there are plenty of market expansion prospects. Roughly 80% of the data that is produced is unstructured, consisting of raw audio, files, or text gathered from different sources such as blogs and social networking sites. Analysing Big Data requires it to be concise. Yet, manually managing a vast quantity of data could result in a significant chance of mistakes. Therefore, automation is crucial in data centers for executing desired tasks, and this is projected to boost market growth in the predicted timeframe.
The market offers various possibilities when the company that owns and runs a data center contracts third parties to manage the data center. Simultaneously, they strive to retain as many processes within the company as they can. Instead of using managed services, automation can get rid of mistakes, cut down on time, and improve processes to achieve more cost-effective results. Another significant factor contributing to the data center automation market is its built-in ability to seamlessly work with various hardware brands, allowing for solutions to be executed regardless of the manufacturer, along with the benefit of supporting multiple tenants. The future use of automation technology is predicted to occur in diverse settings and mixed clouds, emphasizing software-defined security.
Driver
Consistently growing digitization greatly boosted the amount and speed at which data is being produced.
The rise of cloud adoption creates a need for automated data center management for efficient resource scaling and provisioning.
Automated systems optimize data center operations, minimizing energy consumption and reducing the environmental impact.
Increasing data generation necessitates automation to manage complex data center environments with high efficiency.
The main reason for data center automation is the increase in cloud usage by all sizes of businesses, driving the demand for flexibility and agility to keep up with rapid innovation and competition. The surge in data traffic results in to increase in the need for cloud data storage. As IoT usage grows globally, so does device connectivity. Therefore, large amounts of data are being accumulated. The Cisco states that there are more than 50 billion smart connected gadgets around the globe. Analyzing data from these devices can produce customer transaction patterns and aid companies in understanding their consumers' tendencies. Cloud adoption has been steadily increasing in recent years, As per an IBM report, over 2,196 terabytes of data can be produced in a month by one manufacturing site, while a single production line can generate more than 70 terabytes daily. Despite this, most data remain unexamined and unprotected. Organizations are transitioning to cloud storage to protect and make use of this information. Additionally, IBM said that around 89% of the data was created within the past two years. Because of the huge quantity of data being produced, there's an increasing need for low-priced data storage solutions in organizations.
Restrain
Data center growth faces challenges such as a scarcity of skilled professionals
Integrating various automation tools and legacy systems within a data center can be complex and expensive.
The initial cost of acquiring and deploying automation tools can be high for some organizations.
Automation introduces new vulnerabilities if security aspects aren't thoroughly addressed during implementation.
Having a workforce that is knowledgeable in the maintenance and programming of advanced technologies is crucial in a rapidly changing marketplace. The data center skills gap is expanding when it comes to addressing skill shortages. The rising need for skilled experts is fuelled by the anticipated expansion of cloud or internet giants and the growing capability of colocation data centers in Southeast Asia, China, Australia, and other APAC nations. In AFCOM’s 2021 State of the Data Center Report, it was found that a majority of participants encountered challenges in the recruitment of certain skilled professionals. Based on the survey results, 29% of participants encountered obstacles in hiring cloud experts, while 26% struggled with recruiting staff for data center facilities, engineering, and technician roles. Additionally, 25% of survey participants expressed challenges when it comes to locating the appropriate talent for network security, IT and data center management, and DevOps.
By Component
The solutions segment led the market, in 2023, and held more than 56% of the data center automation market. These automation solutions offer mobility, expandability, and adaptability, allowing data centers to operate more efficiently. They essentially provide a control panel for complete automation and remote management. services segment is expected to grow with the fastest annual growth rate of 14.8% in the forecast period of 2024-2032. These services handle tasks such as installation and maintenance of hardware-controlled power delivery systems. Additionally, data center services cover areas like data archiving and backup, managing balanced load distribution, user authentication, and permission controls. They even handle monitoring firewalls, anti-virus software, and communication with numerous devices, all crucial for a fully automated data center's daily operation.
By Solution
Based on solution, data center automation solutions segmented into storage, server, and network automation. In 2023, the server automation segment dominated the market with more than 51% of the revenue share. This technology streamlines application deployment and management across both physical and virtual servers, offering a one-stop shop for automated workflows that minimize human error.
The network automation segment is poised for significant growth, with a projected CAGR of 12.65%. It helps optimize data centers by enabling rapid provisioning of new resources, improved scalability, and improved security. Additionally, network automation utilizes open APIs, allowing seamless integration across various data center software tools and providing universal user access. This translates to a more efficient and streamlined network management experience.
By Enterprise Type
Large enterprises dominated the data center automation market and held a revenue share of more than 69% in 2023. This growth is driven by their need to manage massive amounts of data for complex tools such as analytics and big data. Additionally, multinational corporations often choose well-secured corporate data centers, further fueling this segment's growth.
Small and medium-sized enterprises (SMEs) are projected to grow with a significant annual growth rate of 14.6%, SMEs are increasingly adopting data middle automation due to the increasing demand for quick deployment, scalability, and cloud offerings. Furthermore, the focus on greener and extra energy-efficient data centers aligns with their needs and is expected to contribute massive increase in the market.
By Data Center Type
The public cloud data center is growing at the fastest growth rate. This surge is fueled by the increasing demand for cloud computing and various benefits such as affordability, easy setup, and remote data access. Public cloud information facilities provide a sturdy suite of automation tools and offerings. These tools can automate numerous records center duties which include provisioning, deployment, monitoring, and scaling. By leveraging this automation, businesses can achieve faster launches of projects, optimize useful resource usage, and adapt greater conveniently to converting wishes. Additionally, increasing investments in building cloud data centers, such as Google's $9.49 billion project in April 2022, further accelerate market growth.
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By End-user
IT & Telecommunication dominated the data center automation market and held a revenue share of more than 22% in 2023. This growth is driven by way of the continuously growing mobile technology and the ever-growing demand for high-speed data services. This industry's boom helps to force the financial system with the aid of developing jobs and commercial enterprise opportunities, even as competition among service providers helps lessen costs for consumers. However, the BFSI (Banking, Financial Services, and Insurance) is expected to grow with a high annual growth rate of 14.7% in the forecast period of 2024-2032. This increase is pushed with the aid of the increase in online banking, payment apps, and mobile wallets. Additionally, the need for the BFSI sector to function 24/7 to make certain clean monetary activity is a major driving force for data-center automation adoption.
North America dominated the market due to the biggest data centers and widespread use of automation technology in companies and held the largest revenue share of more than 35% in 2023. For example, North America possessed 3,005 data centers in January 2022. There have been about 2700 centers in the U.S. And 305 in Canada. Consistently growing use of IoT devices, smart home gadgets, and wearable tech in the U.S. Results in a large amount of data, leading to a need for data center automation to streamline tasks and speed up processes. In August 2022, Jazz chose Juniper Networks to put in force Juniper Apstra System for the motive of imparting Intent-primarily based Networking (IBN) abilities. The company’s goal is to improve its current architectural strategy by utilizing data-driven insights, automation, and assurance to streamline operations and improve user experience. Its reign will persist during the entire forecast period. Additionally, the market is expected to experience significant growth due to the early adoption of emerging technologies, consistently increased investments in research and development for cloud-based solutions, and improved IT infrastructure. The development of new technologies and applications is a key factor driving investments in the market to tap into volumes that were previously thought to be unprofitable. The market for cloud-based solutions is projected to experience significant growth in the country due to investment in healthcare, retail, communications, and manufacturing applications.
Europe is projected to maintain a substantial market share in the upcoming period due to the existence of major data centers in Germany, the U.K., the Netherlands, and France. The initiatives of government projects to assemble eco-friendly data centers and promote sustainability open up new market prospects inside the area. The purpose of the Climate Neutral Data Centre Pact of the European Union is to achieve carbon neutrality for the vicinity by way of 2050, making it the primary globally. In March 2022, Cisco rolled out Secure Access Service Edge (SASE) statistics facilities in Sweden and Denmark (Northern Europe) to cater to safety clients.
The Asia Pacific is projected to grow with the highest compound annual growth rate (CAGR) of 16.2% into the forecast period of 2024-2032. The diverse Countries in APAC which includes Japan, China, and India, together with others, are investing substantially in their IT infrastructure and constructing new statistics facilities to deal with the growing huge amount of data. Furthermore, the Asia-Pacific indicates promising increase possibilities because of the developing quantity of small and medium-sized agencies leveraging cloud computing. Key market players are expected to create new growth possibilities by way of investing closely in the development of cloud information centers. For example, in October 2022, Alibaba Cloud opened two additional facts facilities in Thailand and South Korea. The new information facilities are designed to help local corporations with their journey in the direction of digital transformation.
Key Players:
The major players of the market are Microsoft Corporation, Hewlett Packard Enterprise Development LP, Cisco Systems Inc., ABB, IBM Corporation, Fujitsu, Intel Corporation, BMC Software, Inc., Citrix Systems, Broadcom, Arista Networks, Inc., Red Hat Inc., Micro Focus, Dell Inc. and others in the final report.
In February 2024, Cisco and NVIDIA announced a collaboration to assist businesses in efficiently creating and managing secure AI infrastructure. The merger among the companies combines enhancements to aid businesses, address the increasing need for greater computing capacity in the data center, and facilitate the transition towards AI using a secure and reliable framework.
In June 2023, Moody's Corporation and Microsoft revealed a collaboration focused on delivering advanced analytics, data, research, risk solutions, and collaboration tools for business services and global knowledge workers. The collaboration among colleagues results in innovative contributions that enhance understanding of business intelligence and risk evaluation within the company.
In April 2023, Arista Networks, a company that offers networking solutions, unveils an AI-powered network identity service for enhancing business security and IT functions. The CV AGNI ensures secure IT operations by offering easy deployment and scalability in the cloud for all employees, their devices, and IoT plans in the business network.
| Report Attributes | Details |
| Market Size in 2023 | US$ 9.2 Billion |
| Market Size by 2032 | US$ 33.42 Billion |
| CAGR | CAGR of 15.41% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments |
• By Component (Solutions, Services) |
| Regional Analysis/Coverage |
North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Microsoft Corporation, Hewlett Packard Enterprise Development LP, Cisco Systems Inc., ABB, IBM Corporation, Fujitsu, Intel Corporation, BMC Software, Inc., Citrix Systems, Broadcom, Arista Networks, Inc., Red Hat Inc., Micro Focus, Dell Inc. |
| Key Drivers | • The market is expected to increase as a result of factors such as expanding social media, online gaming, and big data applications. |
| Market Opportunities | • Early uptake of emerging technologies, sizable expenditures on cloud-based solution R&D, and improved IT infrastructure are also projected to fuel market expansion. |
Ans. The projected market size for the Data center automation Market is USD 33.42 billion by 2032.
Ans: The Asia Pacific region is expected to grow with the highest CAGR during the forecast period of 2024-2032.
Ans: The IT & Telecommunication end-use segment dominated the Data center automation Market.
Ans. The CAGR of the Data center automation Market is 15.41% During the forecast period of 2024-2032.
Ans:
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Industry Flowchart
3. Research Methodology
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
5. Porter’s 5 Forces Model
6. Pest Analysis
7. Data Center Automation Market Segmentation, By Component
7.1 Introduction
7.2 Solutions
7.3 Services
7.3.1 Professional Services
7.3.2 Managed Services
8. Data Center Automation Market Segmentation, By Solution
8.1 Introduction
8.2 Storage
8.3 Network
8.4 Server
9. Data Center Automation Market Segmentation, By Enterprise Type
9.1 Introduction
9.2 SMEs
9.3 Large Enterprises
10. Data Center Automation Market Segmentation, By Data Center Type
10.1 Introduction
10.2 On-premise Data Center
10.3 Managed Data Center
10.4 Public Cloud Data Center
11. Data Center Automation Market Segmentation, By End-user
11.1 Introduction
11.2 BFSI
11.3 Retail & e-commerce
11.4 IT and Telecommunications
11.5 Government & Public sector
11.6 Energy & Utilities
11.7 Manufacturing
11.8 Healthcare
11.9 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 Trend Analysis
12.2.2 North America Data Center Automation Market By Country
12.2.3 North America Data Center Automation Market By Component
12.2.4 North America Data Center Automation Market By Solution
12.2.5 North America Data Center Automation Market By Enterprise Type
12.2.6 North America Data Center Automation Market, By Data Center Type
12.2.7 North America Data Center Automation Market, By End-user
12.2.8 USA
12.2.8.1 USA Data Center Automation Market By Component
12.2.8.2 USA Data Center Automation Market By Solution
12.2.8.3 USA Data Center Automation Market By Enterprise Type
12.2.8.4 USA Data Center Automation Market, By Data Center Type
12.2.8.5 USA Data Center Automation Market, By End-user
12.2.9 Canada
12.2.9.1 Canada Data Center Automation Market By Component
12.2.9.2 Canada Data Center Automation Market By Solution
12.2.9.3 Canada Data Center Automation Market By Enterprise Type
12.2.9.4 Canada Data Center Automation Market, By Data Center Type
12.2.9.5 Canada Data Center Automation Market, By End-user
12.2.10 Mexico
12.2.10.1 Mexico Data Center Automation Market By Component
12.2.10.2 Mexico Data Center Automation Market By Solution
12.2.10.3 Mexico Data Center Automation Market By Enterprise Type
12.2.10.4 Mexico Data Center Automation Market, By Data Center Type
12.2.10.5 Mexico Data Center Automation Market, By End-user
12.3 Europe
12.3.1 Trend Analysis
12.3.2 Eastern Europe
12.3.2.1 Eastern Europe Data Center Automation Market By Country
12.3.2.2 Eastern Europe Data Center Automation Market By Component
12.3.2.3 Eastern Europe Data Center Automation Market By Solution
12.3.2.4 Eastern Europe Data Center Automation Market By Enterprise Type
12.3.2.5 Eastern Europe Data Center Automation Market By Data Center Type
12.3.2.6 Eastern Europe Data Center Automation Market, By End-user
12.3.2.7 Poland
12.3.2.7.1 Poland Data Center Automation Market By Component
12.3.2.7.2 Poland Data Center Automation Market By Solution
12.3.2.7.3 Poland Data Center Automation Market By Enterprise Type
12.3.2.7.4 Poland Data Center Automation Market By Data Center Type
12.3.2.7.5 Poland Data Center Automation Market, By End-user
12.3.2.8 Romania
12.3.2.8.1 Romania Data Center Automation Market By Component
12.3.2.8.2 Romania Data Center Automation Market By Solution
12.3.2.8.3 Romania Data Center Automation Market By Enterprise Type
12.3.2.8.4 Romania Data Center Automation Market By Data Center Type
12.3.2.8.5 Romania Data Center Automation Market, By End-user
12.3.2.9 Hungary
12.3.2.9.1 Hungary Data Center Automation Market By Component
12.3.2.9.2 Hungary Data Center Automation Market By Solution
12.3.2.9.3 Hungary Data Center Automation Market By Enterprise Type
12.3.2.9.4 Hungary Data Center Automation Market By Data Center Type
12.3.2.9.5 Hungary Data Center Automation Market, By End-user
12.3.2.10 Turkey
12.3.2.10.1 Turkey Data Center Automation Market By Component
12.3.2.10.2 Turkey Data Center Automation Market By Solution
12.3.2.10.3 Turkey Data Center Automation Market By Enterprise Type
12.3.2.10.4 Turkey Data Center Automation Market By Data Center Type
12.3.2.10.5 Turkey Data Center Automation Market, By End-user
12.3.2.11 Rest of Eastern Europe
12.3.2.11.1 Rest of Eastern Europe Data Center Automation Market By Component
12.3.2.11.2 Rest of Eastern Europe Data Center Automation Market By Solution
12.3.2.11.3 Rest of Eastern Europe Data Center Automation Market By Enterprise Type
12.3.2.11.4 Rest of Eastern Europe Data Center Automation Market By Data Center Type
12.3.2.11.5 Rest of Eastern Europe Data Center Automation Market, By End-user
12.3.3 Western Europe
12.3.3.1 Western Europe Data Center Automation Market By Country
12.3.3.2 Western Europe Data Center Automation Market By Component
12.3.3.3 Western Europe Data Center Automation Market By Solution
12.3.3.4 Western Europe Data Center Automation Market By Enterprise Type
12.3.3.5 Western Europe Data Center Automation Market By Data Center Type
12.3.3.6 Western Europe Data Center Automation Market, By End-user
12.3.3.7 Germany
12.3.3.7.1 Germany Data Center Automation Market By Component
12.3.3.7.2 Germany Data Center Automation Market By Solution
12.3.3.7.3 Germany Data Center Automation Market By Enterprise Type
12.3.3.7.4 Germany Data Center Automation Market By Data Center Type
12.3.3.7.5 Germany Data Center Automation Market, By End-user
12.3.3.8 France
12.3.3.8.1 France Data Center Automation Market By Component
12.3.3.8.2 France Data Center Automation Market By Solution
12.3.3.8.3 France Data Center Automation Market By Enterprise Type
12.3.3.8.4 France Data Center Automation Market By Data Center Type
12.3.3.8.5 France Data Center Automation Market, By End-user
12.3.3.9 UK
12.3.3.9.1 UK Data Center Automation Market By Component
12.3.3.9.2 UK Data Center Automation Market By Solution
12.3.3.9.3 UK Data Center Automation Market By Enterprise Type
12.3.3.9.4 UK Data Center Automation Market By Data Center Type
12.3.3.9.5 UK Data Center Automation Market, By End-user
12.3.3.10 Italy
12.3.3.10.1 Italy Data Center Automation Market By Component
12.3.3.10.2 Italy Data Center Automation Market By Solution
12.3.3.10.3 Italy Data Center Automation Market By Enterprise Type
12.3.3.10.4 Italy Data Center Automation Market By Data Center Type
12.3.3.10.5 Italy Data Center Automation Market, By End-user
12.3.3.11 Spain
12.3.3.11.1 Spain Data Center Automation Market By Component
12.3.3.11.2 Spain Data Center Automation Market By Solution
12.3.3.11.3 Spain Data Center Automation Market By Enterprise Type
12.3.3.11.4 Spain Data Center Automation Market By Data Center Type
12.3.3.11.5 Spain Data Center Automation Market, By End-user
12.3.3.12 Netherlands
12.3.3.12.1 Netherlands Data Center Automation Market By Component
12.3.3.12.2 Netherlands Data Center Automation Market By Solution
12.3.3.12.3 Netherlands Data Center Automation Market By Enterprise Type
12.3.3.12.4 Netherlands Data Center Automation Market By Data Center Type
12.3.3.12.5 Netherlands Data Center Automation Market, By End-user
12.3.3.13 Switzerland
12.3.3.13.1 Switzerland Data Center Automation Market By Component
12.3.3.13.2 Switzerland Data Center Automation Market By Solution
12.3.3.13.3 Switzerland Data Center Automation Market By Enterprise Type
12.3.3.13.4 Switzerland Data Center Automation Market By Data Center Type
12.3.3.13.5 Switzerland Data Center Automation Market, By End-user
12.3.3.14 Austria
12.3.3.14.1 Austria Data Center Automation Market By Component
12.3.3.14.2 Austria Data Center Automation Market By Solution
12.3.3.14.3 Austria Data Center Automation Market By Enterprise Type
12.3.3.14.4 Austria Data Center Automation Market By Data Center Type
12.3.3.14.5 Austria Data Center Automation Market, By End-user
12.3.3.15 Rest of Western Europe
12.3.3.15.1 Rest of Western Europe Data Center Automation Market By Component
12.3.3.15.2 Rest of Western Europe Data Center Automation Market By Solution
12.3.3.15.3 Rest of Western Europe Data Center Automation Market By Enterprise Type
12.3.3.15.4 Rest of Western Europe Data Center Automation Market By Data Center Type
12.3.3.15.5 Rest of Western Europe Data Center Automation Market, By End-user
12.4 Asia-Pacific
12.4.1 Trend Analysis
12.4.2 Asia-Pacific Data Center Automation Market By Country
12.4.3 Asia-Pacific Data Center Automation Market By Component
12.4.4 Asia-Pacific Data Center Automation Market By Solution
12.4.5 Asia-Pacific Data Center Automation Market By Enterprise Type
12.4.6 Asia-Pacific Data Center Automation Market By Data Center Type
12.4.7 Asia-Pacific Data Center Automation Market, By End-user
12.4.8 China
12.4.8.1 China Data Center Automation Market By Component
12.4.8.2 China Data Center Automation Market By Solution
12.4.8.3 China Data Center Automation Market By Enterprise Type
12.4.8.4 China Data Center Automation Market By Data Center Type
12.4.8.5 China Data Center Automation Market, By End-user
12.4.9 India
12.4.9.1 India Data Center Automation Market By Component
12.4.9.2 India Data Center Automation Market By Solution
12.4.9.3 India Data Center Automation Market By Enterprise Type
12.4.9.4 India Data Center Automation Market By Data Center Type
12.4.9.5 India Data Center Automation Market, By End-user
12.4.10 Japan
12.4.10.1 Japan Data Center Automation Market By Component
12.4.10.2 Japan Data Center Automation Market By Solution
12.4.10.3 Japan Data Center Automation Market By Enterprise Type
12.4.10.4 Japan Data Center Automation Market By Data Center Type
12.4.10.5 Japan Data Center Automation Market, By End-user
12.4.11 South Korea
12.4.11.1 South Korea Data Center Automation Market By Component
12.4.11.2 South Korea Data Center Automation Market By Solution
12.4.11.3 South Korea Data Center Automation Market By Enterprise Type
12.4.11.4 South Korea Data Center Automation Market By Data Center Type
12.4.11.5 South Korea Data Center Automation Market, By End-user
12.4.12 Vietnam
12.4.12.1 Vietnam Data Center Automation Market By Component
12.4.12.2 Vietnam Data Center Automation Market By Solution
12.4.12.3 Vietnam Data Center Automation Market By Enterprise Type
12.4.12.4 Vietnam Data Center Automation Market By Data Center Type
12.4.12.5 Vietnam Data Center Automation Market, By End-user
12.4.13 Singapore
12.4.13.1 Singapore Data Center Automation Market By Component
12.4.13.2 Singapore Data Center Automation Market By Solution
12.4.13.3 Singapore Data Center Automation Market By Enterprise Type
12.4.13.4 Singapore Data Center Automation Market By Data Center Type
12.4.13.5 Singapore Data Center Automation Market, By End-user
12.4.14 Australia
12.4.14.1 Australia Data Center Automation Market By Component
12.4.14.2 Australia Data Center Automation Market By Solution
12.4.14.3 Australia Data Center Automation Market By Enterprise Type
12.4.14.4 Australia Data Center Automation Market By Data Center Type
12.4.14.5 Australia Data Center Automation Market, By End-user
12.4.15 Rest of Asia-Pacific
12.4.15.1 Rest of Asia-Pacific Data Center Automation Market By Component
12.4.15.2 Rest of Asia-Pacific Data Center Automation Market By Solution
12.4.15.3 Rest of Asia-Pacific Data Center Automation Market By Enterprise Type
12.4.15.4 Rest of Asia-Pacific Data Center Automation Market By Data Center Type
12.4.15.5 Rest of Asia-Pacific Data Center Automation Market, By End-user
12.5 Middle East & Africa
12.5.1 Trend Analysis
12.5.2 Middle East
12.5.2.1 Middle East Data Center Automation Market By Country
12.5.2.2 Middle East Data Center Automation Market By Component
12.5.2.3 Middle East Data Center Automation Market By Solution
12.5.2.4 Middle East Data Center Automation Market By Enterprise Type
12.5.2.5 Middle East Data Center Automation Market By Data Center Type
12.5.2.6 Middle East Data Center Automation Market, By End-user
12.5.2.7 UAE
12.5.2.7.1 UAE Data Center Automation Market By Component
12.5.2.7.2 UAE Data Center Automation Market By Solution
12.5.2.7.3 UAE Data Center Automation Market By Enterprise Type
12.5.2.7.4 UAE Data Center Automation Market By Data Center Type
12.5.2.7.5 UAE Data Center Automation Market, By End-user
12.5.2.8 Egypt
12.5.2.8.1 Egypt Data Center Automation Market By Component
12.5.2.8.2 Egypt Data Center Automation Market By Solution
12.5.2.8.3 Egypt Data Center Automation Market By Enterprise Type
12.5.2.8.4 Egypt Data Center Automation Market By Data Center Type
12.5.2.8.5 Egypt Data Center Automation Market, By End-user
12.5.2.9 Saudi Arabia
12.5.2.9.1 Saudi Arabia Data Center Automation Market By Component
12.5.2.9.2 Saudi Arabia Data Center Automation Market By Solution
12.5.2.9.3 Saudi Arabia Data Center Automation Market By Enterprise Type
12.5.2.9.4 Saudi Arabia Data Center Automation Market By Data Center Type
12.5.2.9.5 Saudi Arabia Data Center Automation Market, By End-user
12.5.2.10 Qatar
12.5.2.10.1 Qatar Data Center Automation Market By Component
12.5.2.10.2 Qatar Data Center Automation Market By Solution
12.5.2.10.3 Qatar Data Center Automation Market By Enterprise Type
12.5.2.10.4 Qatar Data Center Automation Market By Data Center Type
12.5.2.10.5 Qatar Data Center Automation Market, By End-user
12.5.2.11 Rest of Middle East
12.5.2.11.1 Rest of Middle East Data Center Automation Market By Component
12.5.2.11.2 Rest of Middle East Data Center Automation Market By Solution
12.5.2.11.3 Rest of Middle East Data Center Automation Market By Enterprise Type
12.5.2.11.4 Rest of Middle East Data Center Automation Market By Data Center Type
12.5.2.11.5 Rest of Middle East Data Center Automation Market, By End-user
12.5.3 Africa
12.5.3.1 Africa Data Center Automation Market By Country
12.5.3.2 Africa Data Center Automation Market By Component
12.5.3.3 Africa Data Center Automation Market By Solution
12.5.3.4 Africa Data Center Automation Market By Enterprise Type
12.5.3.5 Africa Data Center Automation Market By Data Center Type
12.5.3.6 Africa Data Center Automation Market, By End-user
12.5.3.7 Nigeria
12.5.3.7.1 Nigeria Data Center Automation Market By Component
12.5.3.7.2 Nigeria Data Center Automation Market By Solution
12.5.3.7.3 Nigeria Data Center Automation Market By Enterprise Type
12.5.3.7.4 Nigeria Data Center Automation Market By Data Center Type
12.5.3.7.5 Nigeria Data Center Automation Market, By End-user
12.5.3.8 South Africa
12.5.3.8.1 South Africa Data Center Automation Market By Component
12.5.3.8.2 South Africa Data Center Automation Market By Solution
12.5.3.8.3 South Africa Data Center Automation Market By Enterprise Type
12.5.3.8.4 South Africa Data Center Automation Market By Data Center Type
12.5.3.8.5 South Africa Data Center Automation Market, By End-user
12.5.3.9 Rest of Africa
12.5.3.9.1 Rest of Africa Data Center Automation Market By Component
12.5.3.9.2 Rest of Africa Data Center Automation Market By Solution
12.5.3.9.3 Rest of Africa Data Center Automation Market By Enterprise Type
12.5.3.9.4 Rest of Africa Data Center Automation Market By Data Center Type
12.5.3.9.5 Rest of Africa Data Center Automation Market, By End-user
12.6 Latin America
12.6.1 Trend Analysis
12.6.2 Latin America Data Center Automation Market By country
12.6.3 Latin America Data Center Automation Market By Component
12.6.4 Latin America Data Center Automation Market By Solution
12.6.5 Latin America Data Center Automation Market By Enterprise Type
12.6.6 Latin America Data Center Automation Market By Data Center Type
12.6.7 Latin America Data Center Automation Market, By End-user
12.6.8 Brazil
12.6.8.1 Brazil Data Center Automation Market By Component
12.6.8.2 Brazil Data Center Automation Market By Solution
12.6.8.3 Brazil Data Center Automation Market By Enterprise Type
12.6.8.4 Brazil Data Center Automation Market By Data Center Type
12.6.8.5 Brazil Data Center Automation Market, By End-user
12.6.9 Argentina
12.6.9.1 Argentina Data Center Automation Market By Component
12.6.9.2 Argentina Data Center Automation Market By Solution
12.6.9.3 Argentina Data Center Automation Market By Enterprise Type
12.6.9.4 Argentina Data Center Automation Market By Data Center Type
12.6.9.5 Argentina Data Center Automation Market, By End-user
12.6.10 Colombia
12.6.10.1 Colombia Data Center Automation Market By Component
12.6.10.2 Colombia Data Center Automation Market By Solution
12.6.10.3 Colombia Data Center Automation Market By Enterprise Type
12.6.10.4 Colombia Data Center Automation Market By Data Center Type
12.6.10.5 Colombia Data Center Automation Market, By End-user
12.6.11 Rest of Latin America
12.6.11.1 Rest of Latin America Data Center Automation Market By Component
12.6.11.2 Rest of Latin America Data Center Automation Market By Solution
12.6.11.3 Rest of Latin America Data Center Automation Market By Enterprise Type
12.6.11.4 Rest of Latin America Data Center Automation Market By Data Center Type
12.6.11.5 Rest of Latin America Data Center Automation Market, By End-user
13 Company Profile
13.1 Microsoft Corporation
13.1.1 Company Overview
13.1.2 Financials
13.1.3 Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Hewlett Packard Enterprise Development LP
13.2.1 Company Overview
13.2.2 Financials
13.2.3 Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Cisco Systems Inc.
13.3.1 Company Overview
13.3.2 Financials
13.3.3 Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 ABB
13.4.1 Company Overview
13.4.2 Financials
13.4.3 Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 IBM Corporation
13.5.1 Company Overview
13.5.2 Financials
13.5.3 Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Fujitsu
13.6.1 Company Overview
13.6.2 Financials
13.6.3 Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Intel Corporation
13.7.1 Company Overview
13.7.2 Financials
13.7.3 Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 BMC Software, Inc.
13.8.1 Company Overview
13.8.2 Financials
13.8.3 Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Citrix Systems
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Broadcom
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
15. Use Case and Best Practices
16. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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