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Global Virtual Router Market to reach USD XX million by 2028.

Global Virtual Router Market Size study, By Component (Solution {Integrated Solution, Standalone Solution}, Service {Professional Services, Managed Services}), By Type (Pre-defined, Custom), By End User (Service Provider {Telecom, Data Center, Cloud}, Enterprises), and Regional Forecasts 2022-2028

Product Code: ICTICTI-50409200
Publish Date: 28-04-2022
Page: 200

Global Virtual Router Market is valued approximately USD XX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028.

The virtual router can be defined as a virtual instantiation of a hardware router. This is a routing framework that is based on software, performs like a normal hardware router, and replicates the ability of a hardware-based Layer 3 IP router, in software. This routing presents various benefits such as flexibility, scalability, and decreases in the total cost of ownership (TCO), which has shifted in preference of organizations toward virtual routers. The rising demand for the SDN and NFV, growing need for mobility, rapid digitization, coupled with the rising investments Internet of things, increased system availability are factors that are accelerating the global market demand. For instance, in July 2019, Samsung Venture Investment Corporation has proclaimed to invest nearly USD 8.5 million in the four Indian Startups to accelerate IoT. Also, in July 2019, Hewlett Packard Enterprise (HPE) has invested almost USD 500 million to boost India’s IoT ecosystem. Consequentially, rising investment in IoT developments and facilities are fueling the demand for the virtual router, which, in turn, stimulates market growth in the approaching years. However, a lack of skills & expertise, and security concerns associated with the virtualized environment impede the growth of the market over the forecast period of 2022-2028. Also, growing demand for private cloud and increasing virtual router applications across network segments are anticipated to act as a catalyzing factor for the market demand during the forecast period.

The key regions considered for the global Virtual Router market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. Asia-Pacific is the leading region across the world in terms of market share owing to the growing trend of Bring Your Own Device (BYOD) across various enterprises, rising adoption of the private cloud, as well as surging demand for network optimization. Whereas, North America is anticipated to exhibit a significant growth rate over the forecast period 2022-2028. Factors such as the thriving growth of the end-use segments, increasing investments in the R&D activities, and presence of the leading market players, would create lucrative growth prospects for the Virtual Router market across the North American region.

Major market players included in this report are:
Cisco Systems, Inc.
Ericsson Inc.
Huawei Technologies Co., Ltd.
Nokia Corporation
Juniper Networks, Inc.
International Business Machines Corporation
Brocade Communications Systems, Inc.
Hewlett Packard Enterprise Development LP
Arista Networks, Inc.
Palo Alto Networks, Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component
Integrated Solution
Standalone Solution
Professional Services
Managed Services
By Type
By End User
Service Provider
Data Center
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Virtual Router Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Global Virtual Router Market, by Region, 2020-2028 (USD Million)
1.2.2. Global Virtual Router Market, by Component, 2020-2028 (USD Million)
1.2.3. Global Virtual Router Market, by Type, 2020-2028 (USD Million)
1.2.4. Global Virtual Router Market, by End User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Virtual Router Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Virtual Router Market Dynamics
3.1. Virtual Router Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Reduction in Capex and OPEX Increasing demand for SDN and NFV
3.1.2. Market Challenges Security concerns associated to the virtualized environment Lack of skills and expertise
3.1.3. Market Opportunities Growing demand for private cloud Increasing virtual router applications across network segments
Chapter 4. Global Virtual Router Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Virtual Router Market, by Component
6.1. Market Snapshot
6.2. Global Virtual Router Market by Component, Performance – Potential Analysis
6.3. Global Virtual Router Market Estimates & Forecasts by Component 2018-2028 (USD Million)
6.4. Virtual Router Market, Sub Segment Analysis
6.4.1. Solution Integrated Solution Standalone Solution
6.4.2. Service Professional Services Managed Services
Chapter 7. Global Virtual Router Market, by Type
7.1. Market Snapshot
7.2. Global Virtual Router Market by Type, Performance – Potential Analysis
7.3. Global Virtual Router Market Estimates & Forecasts by Type 2018-2028 (USD Million)
7.4. Virtual Router Market, Sub Segment Analysis
7.4.1. Pre-defined
7.4.2. Custom
Chapter 8. Global Virtual Router Market, by End User
8.1. Market Snapshot
8.2. Global Virtual Router Market by End User, Performance – Potential Analysis
8.3. Global Virtual Router Market Estimates & Forecasts by End User 2018-2028 (USD Million)
8.4. Virtual Router Market, Sub Segment Analysis
8.4.1. Service Provider Telecom Data Center Cloud
8.4.2. Enterprises
Chapter 9. Global Virtual Router Market, Regional Analysis
9.1. Virtual Router Market, Regional Market Snapshot
9.2. North America Virtual Router Market
9.2.1. U.S. Virtual Router Market Component estimates & forecasts, 2018-2028 Type estimates & forecasts, 2018-2028 End User estimates & forecasts, 2018-2028
9.2.2. Canada Virtual Router Market
9.3. Europe Virtual Router Market Snapshot
9.3.1. U.K. Virtual Router Market
9.3.2. Germany Virtual Router Market
9.3.3. France Virtual Router Market
9.3.4. Spain Virtual Router Market
9.3.5. Italy Virtual Router Market
9.3.6. Rest of Europe Virtual Router Market
9.4. Asia-Pacific Virtual Router Market Snapshot
9.4.1. China Virtual Router Market
9.4.2. India Virtual Router Market
9.4.3. Japan Virtual Router Market
9.4.4. Australia Virtual Router Market
9.4.5. South Korea Virtual Router Market
9.4.6. Rest of Asia Pacific Virtual Router Market
9.5. Latin America Virtual Router Market Snapshot
9.5.1. Brazil Virtual Router Market
9.5.2. Mexico Virtual Router Market
9.6. Rest of The World Virtual Router Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Cisco Systems, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. Ericsson Inc.
10.2.3. Huawei Technologies Co., Ltd.
10.2.4. Nokia Corporation
10.2.5. Juniper Networks, Inc.
10.2.6. International Business Machines Corporation
10.2.7. Brocade Communications Systems, Inc.
10.2.8. Hewlett Packard Enterprise Development LP
10.2.9. Arista Networks, Inc.
10.2.10. Palo Alto Networks, Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Data Collection:
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Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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