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Global Cloud VPN Market to reach USD xx billion by the end of 2030.

Global Cloud VPN Market Size study & Forecast, by Component (Software, Services), by Connectivity Type (Site-to-Site, Remote Access), by Enterprise Size (Large Enterprises, Small & Medium Sized Enterprises), by Industry Vertical (Energy & Utilities, Government & Defense, Media & Entertainment, IT & Telecommunications, Banking, Financial Services & Insurance, Others) and Regional Analysis, 2023-2030

Product Code: ICTBC-86749719
Publish Date: 30-10-2023
Page: 200

Global Cloud VPN Market is valued at approximately USD xx billion in 2022 and is anticipated to grow with a healthy growth rate of more than xx% over the forecast period 2023-2030. Cloud VPN, or Cloud Virtual Private Network, is a technology that enables secure and encrypted communication over the internet or a network through a cloud-based infrastructure. It provides users with a way to establish a private and secure connection to a remote network or server, regardless of their physical location. The Cloud VPN market is expanding because of factors such as the increasing adoption of secure VPN networks and the rising number of connected devices. Cloud VPN eliminates the need for hardware by leveraging cloud computing resources to create and manage VPN connections. This allows users with an access to resources, data, or services from a remote location through direct link to the same local network. As a result, the demand for Cloud VPN has progressively increased in the international market during the forecast period 2023-2030.

Cloud VPNs offer the advantage of scalability, allowing organizations to easily accommodate a growing number of users and devices without the need for significant hardware investments. The cloud-based nature of these networks enables efficient resource allocation and expansion. According to Statista, in 2022, the global virtual private network (VPN) market amounted to USD 44.6 billion. Furthermore, in 2022, approximately 40% of internet users in the UAE utilized virtual private networks for at least some online activity, followed by India with 39%. Over 27% of internet users globally used a virtual private network. Another important factor that drives the Cloud VPN market is the increasing number of connected devices. Connected devices often need to access cloud-based applications, services, and data repositories. Cloud VPNs provide a secure conduit for these devices to connect to resources, facilitating seamless and protected data exchange. In addition, as per Statista, in 2023, it is expected that the global number of Internet of Things (IoT) devices would nearly double, rising from 15.1 billion in 2020 to 29 billion by 2030. According to the research, China will have the highest concentration of IoT devices by 2030, exceedingly nearly 8 billion gadgets designed for consumer usage. Moreover, rising awareness about cloud platforms and increasing technological advancement in Cloud VPN are anticipated to create a lucrative growth opportunity for the market over the forecast period. However, the dearth of technical skills and risk associated with data breaches is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Cloud VPN Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the presence of key market players and the growing adoption of cloud platforms and rising IT spending on business software and communication services in the region. The region’s dominant performance is anticipated to propel the overall demand for Cloud VPNs. Furthermore, Asia Pacific is expected to grow fastest during the forecast period, owing to factors such as the increasing number of enterprises in the region.

Major market player included in this report are:
Google LLC
Cohesive Networks, Inc.
Oracle Corporation
Array Networks, Inc.
NCP Engineering GmbH
Cisco Systems, Inc.
Singtel Telecommunications Limited
Microsoft Corporation
Robustel Technologies Co. Ltd.
Huawei Technologies Co. Ltd.

Recent Developments in the Market:
Ø In May 2023, FedRAMP accreditation has been granted to an enlarged range of Oracle Cloud Infrastructure services, making more cloud services available to customers in the civilian, defence, and intelligence communities. The newly approved services include Oracle Cloud Infrastructure Network Visualizer, Oracle Cloud Infrastructure Golden Gate, Java Management Service, Oracle Cloud Infrastructure Vulnerability Scanning Service, Oracle Cloud Advisor; VPN Connect; Oracle Cloud Infrastructure Bastion, Oracle Cloud Infrastructure Data Integration, and Oracle Cloud Infrastructure Logging Analytics.
Global Cloud VPN Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Connectivity Type, Enterprise Size, Industry Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential 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

By Connectivity Type
Remote Access

By Enterprise Size
Large Enterprises
Small & Medium Sized Enterprises (SMEs)

By Industry Vertical
Energy & Utilities
Government & Defense
Media & Entertainment
IT & Telecommunications
Banking, Financial Services & Insurance (BFSI)

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Cloud VPN Market, by Region, 2020-2030 (USD Billion)
1.2.2. Cloud VPN Market, by Component, 2020-2030 (USD Billion)
1.2.3. Cloud VPN Market, by Connectivity Type, 2020-2030 (USD Billion)
1.2.4. Cloud VPN Market, by Enterprise Size, 2020-2030 (USD Billion)
1.2.5. Cloud VPN Market, by Industry Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Cloud VPN Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Cloud VPN Market Dynamics
3.1. Cloud VPN Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing adoption of secure VPN networks Rising number of connected devices
3.1.2. Market Challenges Dearth of technical skills Risk associated with data breach
3.1.3. Market Opportunities Rising awareness about cloud platforms Increasing technological advancement in Cloud VPN
Chapter 4. Global Cloud VPN 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
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Cloud VPN Market, by Component
5.1. Market Snapshot
5.2. Global Cloud VPN Market by Component, Performance – Potential Analysis
5.3. Global Cloud VPN Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Cloud VPN Market, Sub Segment Analysis
5.4.1. Software
5.4.2. Services
Chapter 6. Global Cloud VPN Market, by Connectivity Type
6.1. Market Snapshot
6.2. Global Cloud VPN Market by Connectivity Type, Performance – Potential Analysis
6.3. Global Cloud VPN Market Estimates & Forecasts by Connectivity Type 2020-2030 (USD Billion)
6.4. Cloud VPN Market, Sub Segment Analysis
6.4.1. Site-to-Site
6.4.2. Remote Access
Chapter 7. Global Cloud VPN Market, by Enterprise Size
7.1. Market Snapshot
7.2. Global Cloud VPN Market by Enterprise Size, Performance – Potential Analysis
7.3. Global Cloud VPN Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
7.4. Cloud VPN Market, Sub Segment Analysis
7.4.1. Large Enterprises
7.4.2. Small & Medium Sized Enterprises (SMEs)
Chapter 8. Global Cloud VPN Market, by Industry Vertical
8.1. Market Snapshot
8.2. Global Cloud VPN Market by Industry Vertical, Performance – Potential Analysis
8.3. Global Cloud VPN Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
8.4. Cloud VPN Market, Sub Segment Analysis
8.4.1. Energy & Utilities
8.4.2. Government & Defense
8.4.3. Media & Entertainment
8.4.4. IT & Telecommunications
8.4.5. Banking, Financial Services & Insurance
8.4.6. Others
Chapter 9. Global Cloud VPN Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Cloud VPN Market, Regional Market Snapshot
9.4. North America Cloud VPN Market
9.4.1. U.S. Cloud VPN Market Component breakdown estimates & forecasts, 2020-2030 Connectivity Type breakdown estimates & forecasts, 2020-2030 Enterprise Size breakdown estimates & forecasts, 2020-2030 Industry Vertical breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Cloud VPN Market
9.5. Europe Cloud VPN Market Snapshot
9.5.1. U.K. Cloud VPN Market
9.5.2. Germany Cloud VPN Market
9.5.3. France Cloud VPN Market
9.5.4. Spain Cloud VPN Market
9.5.5. Italy Cloud VPN Market
9.5.6. Rest of Europe Cloud VPN Market
9.6. Asia-Pacific Cloud VPN Market Snapshot
9.6.1. China Cloud VPN Market
9.6.2. India Cloud VPN Market
9.6.3. Japan Cloud VPN Market
9.6.4. Australia Cloud VPN Market
9.6.5. South Korea Cloud VPN Market
9.6.6. Rest of Asia Pacific Cloud VPN Market
9.7. Latin America Cloud VPN Market Snapshot
9.7.1. Brazil Cloud VPN Market
9.7.2. Mexico Cloud VPN Market
9.8. Middle East & Africa Cloud VPN Market
9.8.1. Saudi Arabia Cloud VPN Market
9.8.2. South Africa Cloud VPN Market
9.8.3. Rest of Middle East & Africa Cloud VPN Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Google LLC Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Cohesive Networks, Inc.
10.3.3. Oracle Corporation
10.3.4. Array Networks, Inc.
10.3.5. NCP Engineering GmbH
10.3.6. Cisco Systems, Inc.
10.3.7. Singtel Telecommunications Limited
10.3.8. Microsoft Corporation
10.3.9. Robustel Technologies Co. Ltd.
10.3.10. Huawei Technologies Co. Ltd.
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.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
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.
Insight Generation & Report Presentation:
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