Study Period | 2019-2032 |
Base Year | 2023 |
Forcast Year | 2023-2032 |
CAGR | 8.85 |
The Software-Defined Data Center (SDDC) Market size is estimated to grow at a CAGR of 6.78% between 2022 and 2032. The market size is forecast to increase by USD 32,567.89 million. The growth of the market depends on several factors, including the increasing adoption of cloud computing, the need for efficient data management and storage solutions, and the demand for scalable and flexible infrastructure. A software-defined data center refers to a data center infrastructure that is virtualized and controlled by software, enabling automation, flexibility, and agility in managing and provisioning resources.
Software-Defined Data Center Market Overview
Drivers
One of the key factors driving the software-defined data center market growth is the increasing adoption of cloud computing. Cloud computing has gained significant popularity in recent years due to its ability to provide on-demand access to computing resources, scalability, and cost-effectiveness. As organizations increasingly migrate their workloads to the cloud, the demand for software-defined data centers that can support cloud-based applications and services is also growing. SDDCs offer the necessary infrastructure and management capabilities to enable efficient cloud deployments, making them a preferred choice for organizations.
Moreover, the need for efficient data management and storage solutions is driving the adoption of software-defined data centers. With the exponential growth of data, organizations are facing challenges in managing and storing their data effectively. SDDCs provide centralized management and virtualization of storage resources, enabling organizations to optimize their data management processes and improve storage efficiency. This factor is expected to drive market growth during the forecast period.
Trends
A key trend shaping the software-defined data center market growth is the integration of artificial intelligence (AI) and machine learning (ML) technologies. The integration of AI and ML in SDDCs enables intelligent automation, predictive analytics, and self-healing capabilities. These technologies can analyze data, identify patterns, and make intelligent decisions to optimize resource allocation, improve performance, and enhance security. The integration of AI and ML in SDDCs opens up new opportunities for organizations to achieve greater operational efficiency and agility.
Additionally, the increasing demand for scalable and flexible infrastructure is driving the adoption of software-defined data centers. Organizations require infrastructure that can quickly adapt to changing business needs and scale up or down as required. SDDCs provide the flexibility to provision and manage resources dynamically, allowing organizations to scale their infrastructure based on demand. This flexibility enables organizations to optimize resource utilization, reduce costs, and improve agility in responding to business requirements. Hence, such factors are expected to drive market growth during the forecast period.
Restraints:
One of the key challenges hindering the software-defined data center market growth is the complexity of implementation and integration. Implementing a software-defined data center involves significant changes in infrastructure, processes, and skill sets. Organizations need to invest in new technologies, train their staff, and ensure seamless integration with existing systems. The complexity of implementation and integration can pose challenges and increase the time and cost involved in deploying SDDCs. Additionally, organizations may face resistance to change and cultural barriers that can hinder the adoption of SDDCs.
Furthermore, security concerns are another restraint for the software-defined data center market. As SDDCs rely heavily on virtualization and software-defined networking, they introduce new security risks and challenges. Organizations need to ensure robust security measures to protect their data and infrastructure from cyber threats. The complexity of securing virtualized environments and the need for advanced security solutions can pose challenges for organizations adopting SDDCs. Hence, such factors are expected to hinder market growth during the forecast period.
Software-Defined Data Center Market Segmentation By Application
The cloud services segment is estimated to witness significant growth during the forecast period. Cloud services rely on scalable and flexible infrastructure to deliver on-demand computing resources to users. Software-defined data centers provide the necessary infrastructure and management capabilities to support cloud services effectively. SDDCs enable organizations to provision and manage resources dynamically, ensuring optimal performance and scalability for cloud-based applications and services. The increasing adoption of cloud services across various industries is driving the demand for software-defined data centers in the cloud services segment.
The enterprise segment is another significant application of software-defined data centers. Enterprises require efficient and agile infrastructure to support their business operations and applications. SDDCs provide centralized management, automation, and virtualization capabilities that enable enterprises to optimize their IT infrastructure, improve resource utilization, and enhance operational efficiency. The enterprise segment includes various industries such as banking, healthcare, retail, and manufacturing, among others. Hence, the demand for software-defined data centers in the enterprise segment is expected to fuel market growth during the forecast period.
Software-Defined Data Center Market Segmentation By Component
The software segment is estimated to witness significant growth during the forecast period. Software-defined data centers rely on software solutions to virtualize and automate infrastructure resources. Software solutions enable organizations to abstract and pool resources, automate provisioning and management tasks, and provide centralized control and visibility over the infrastructure. The increasing demand for software-defined data centers is driving the growth of the software segment as organizations invest in software solutions to implement and manage SDDCs effectively.
The hardware segment is another significant component of software-defined data centers. Hardware components such as servers, storage devices, and networking equipment form the underlying infrastructure of SDDCs. Organizations need to invest in hardware that is compatible with software-defined architectures and can support the scalability and flexibility requirements of SDDCs. The hardware segment includes various types of servers, storage devices, and networking equipment specifically designed for software-defined data centers. Hence, the demand for hardware components in software-defined data centers is expected to contribute to market growth during the forecast period.
North America is estimated to contribute 38% to the growth of the global software-defined data center market during the forecast period. The region has a mature IT infrastructure and a high adoption rate of advanced technologies, making it a prominent market for software-defined data centers. The presence of major technology companies and cloud service providers in North America drives the demand for software-defined data centers. Additionally, the increasing adoption of cloud computing, big data analytics, and IoT technologies in various industries further fuels the growth of the software-defined data center market in the region.
Europe is another significant region in the software-defined data center market. The region has a strong presence of data center operators, cloud service providers, and IT infrastructure vendors. The increasing demand for scalable and flexible infrastructure, along with the need for efficient data management and storage solutions, drives the adoption of software-defined data centers in Europe. Additionally, government initiatives promoting digital transformation and the adoption of advanced technologies contribute to the growth of the software-defined data center market in the region.
In 2020, during the COVID-19 pandemic, the growth of the global software-defined data center market witnessed a temporary slowdown due to the disruption in supply chains and the closure of data centers. However, as organizations accelerated their digital transformation initiatives and adopted remote work models, the demand for software-defined data centers increased. The need for scalable and flexible infrastructure to support remote work, cloud-based applications, and digital services drove the market during the pandemic. Such factors are expected to continue driving the market during the forecast period.
Software-Defined Data Center Market Customer Landscape
The software-defined data center market industry report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.
Major Software-Defined Data Center Market Companies:
Companies are employing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
Cisco Systems Inc: The company offers software-defined data center solutions such as Cisco ACI (Application Centric Infrastructure), Cisco UCS (Unified Computing System), and Cisco HyperFlex.
Dell Technologies Inc: The company offers software-defined data center solutions such as Dell EMC VxRail, Dell EMC PowerFlex, and Dell EMC PowerStore.
Hewlett Packard Enterprise Development LP: The company offers software-defined data center solutions such as HPE Synergy, HPE SimpliVity, and HPE Nimble Storage.
The research report also includes detailed analyses of the competitive landscape of the market and information about 20 market companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Segment Overview
The software-defined data center market report forecasts market growth by revenue at global, regional, and country levels and provides an analysis of the latest trends and growth opportunities from 2019 to 2032.
o Data storage and backup
o Network virtualization
o Server virtualization
o Automation and orchestration
o Others
o Servers
o Storage
o Network
o Security
o Management software
o North America
The U.S.
Canada
o Europe
U.K.
Germany
France
Rest of Europe
o APAC
China
India
o South America
Chile
Argentina
Brazil
o Middle East & Africa
Saudi Arabia
South Africa
Rest of the Middle East & Africa
TABLE OF CONTENTS: GLOBAL Software Defined Data Center MARKET
Chapter 1. MARKET SYNOPSIS
1.1. Market Definition
1.2. Research Scope & Premise
1.3. Methodology
1.4. Market Estimation Technique
Chapter 2. EXECUTIVE SUMMARY
2.1. Summary Snapshot, 2016 – 2027
Chapter 3. INDICATIVE METRICS
3.1. Macro Indicators
Chapter 4. Software Defined Data Center MARKET SEGMENTATION & IMPACT ANALYSIS
4.1. Software Defined Data Center Segmentation Analysis
4.2. Industrial Outlook
4.3. Price Trend Analysis
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.5.1. Power Of Suppliers
4.5.2. Power Of Buyers
4.5.3. Threat Of Substitutes
4.5.4. Threat Of New Entrants
4.5.5. Competitive Rivalry
Chapter 5. Software Defined Data Center MARKET BY type landscape
SIGHTS & TRENDS
5.1. Segment 1 Dynamics & Market Share, 2019 & 2027
5.2 Solution
5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.3 Services
5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
Chapter 6. Software Defined Data Center MARKET BY End user INSIGHTS & TRENDS
6.1. Segment 2 Dynamics & Market Share, 2019 & 2027
6.2 Telecom & IT
6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.3 Healthcare
6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.4 Retail
6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.5 BFSI
6.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.6 Manufacturing
6.6.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.6.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
Chapter 7. Software Defined Data Center MARKET REGIONAL OUTLOOK
7.1. Software Defined Data Center Market Share By Region, 2019 & 2027
7.2. NORTH AMERICA
7.2.1. North America Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.2. North America Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.3. North America Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.4. North America Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.2.5. U.S.
7.2.5.1. U.S. Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.5.2. U.S. Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.5.3. U.S. Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.5.4. U.S. Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.2.6. CANADA
7.2.6.1. Canada Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.6.2. Canada Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.6.3. Canada Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.6.4. Canada Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3. EUROPE
7.3.1. Europe Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.2. Europe Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.3. Europe Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.4. Europe Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.5. GERMANY
7.3.5.1. Germany Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.5.2. Germany Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.5.3. Germany Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.5.4. Germany Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.6. FRANCE
7.3.6.1. France Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.6.2. France Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.6.3. France Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.6.4. France Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.7. U.K.
7.3.7.1. U.K. Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.7.2. U.K. Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.7.3. U.K. Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.7.4. U.K. Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4. ASIA-PACIFIC
7.4.1. Asia Pacific Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.2. Asia Pacific Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.3. Asia Pacific Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.4. Asia Pacific Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.5. CHINA
7.4.5.1. China Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.5.2. China Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.5.3. China Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.5.4. China Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.6. INDIA
7.4.6.1. India Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.6.2. India Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.6.3. India Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.6.4. India Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.7. JAPAN
7.4.7.1. Japan Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.7.2. Japan Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.7.3. Japan Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.7.4. Japan Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.8. AUSTRALIA
7.4.8.1. Australia Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.8.2. Australia Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.8.3. Australia Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.8.4. Australia Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.5. MIDDLE EAST AND AFRICA (MEA)
7.5.1. Mea Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.5.2. Mea Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.5.3. Mea Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.5.4. Mea Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.6. LATIN AMERICA
7.6.1. Latin America Software Defined Data Center Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.6.2. Latin America Software Defined Data Center Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.6.3. Latin America Software Defined Data Center Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.6.4. Latin America Software Defined Data Center Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)
7.6.5. Latin America Software Defined Data Center Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
Chapter 8. COMPETITIVE LANDSCAPE
8.1. Market Share By Manufacturers
8.2. Strategic Benchmarking
8.2.1. New Product Launches
8.2.2. Investment & Expansion
8.2.3. Acquisitions
8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures
8.3. Vendor Landscape
8.3.1. North American Suppliers
8.3.2. European Suppliers
8.3.3. Asia-Pacific Suppliers
8.3.4. Rest Of The World Suppliers
Chapter 9. COMPANY PROFILES
9.1 Microsoft Corporation
9.1.1. Company Overview
9.1.2. Financial Performance
9.1.3. Product Insights
9.1.4. Strategic Initiatives
9.2 Hewlett Packard Enterprise Company
9.2.1. Company Overview
9.2.2. Financial Performance
9.2.3. Product Insights
9.2.4. Strategic Initiatives
9.3 Oracle Corporation
9.3.1. Company Overview
9.3.2. Financial Performance
9.3.3. Product Insights
9.3.4. Strategic Initiatives
9.4 Cisco Systems
9.4.1. Company Overview
9.4.2. Financial Performance
9.4.3. Product Insights
9.4.4. Strategic Initiatives
9.5 VMware
9.5.1. Company Overview
9.5.2. Financial Performance
9.5.3. Product Insights
9.5.4. Strategic Initiatives
9.6 Company 6
9.6.1. Company Overview
9.6.2. Financial Performance
9.6.3. Product Insights
9.6.4. Strategic Initiatives
9.7 Company 7
9.7.1. Company Overview
9.7.2. Financial Performance
9.7.3. Product Insights
9.7.4. Strategic Initiatives
9.8 Company 8
9.8.1. Company Overview
9.8.2. Financial Performance
9.8.3. Product Insights
9.8.4. Strategic Initiatives
9.9 Company 9
9.9.1. Company Overview
9.9.2. Financial Performance
9.9.3. Product Insights
9.9.4. Strategic Initiatives
9.10 Company 10
9.10.1. Company Overview
9.10.2. Financial Performance
9.10.3. Product Insights
9.10.4. Strategic Initiatives
A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.
Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.
Now let’s take a closer look at the research methods here.
Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.
Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.
However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.
The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.
Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.
The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.
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