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Global Software Defined Perimeter Market to reach USD 36.3 billion by the end of 2030

Global Software Defined Perimeter Market Size study & Forecast, by Deployment (Cloud and On-premise), by Enterprise (Small & Medium Enterprise and Large Enterprises), by End User (BFSI, IT & Telecom, Manufacturing, Government, Healthcare, Education, and Others) and Regional Analysis, 2023-2030

Product Code: ICTICTI-45500129
Publish Date: 5-12-2023
Page: 200

Global Software Defined Perimeter Market is valued at approximately USD 5.60 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 26.3% over the forecast period 2023-2030. Software Defined Perimeter (SDP) is a new method adopted for security, which is based on the concept of “black cloud.” It provides protection against network-based attacks by dynamically creating perimeter networks in a cloud, data center, and hybrid environment. The SDP model creates an invisible infrastructure in the system to protect it from cyberattacks, malicious software, and other threats. The Software Defined Perimeter Market is expanding because of factors such as the growing deployment of cloud-based technology and the increasing cases of cyber-attacks and data breaches.

Moreover, The growing number of cyber-attacks and data breaches has played a significant role in supporting the growth of the Software Defined Perimeter (SDP) market. As cyber threats become more sophisticated, traditional security measures often prove insufficient. Organizations are increasingly seeking advanced security solutions to protect their sensitive data. SDP provides a dynamic and adaptive security approach, which can significantly enhance an organization’s overall security posture. According to Statista in the third quarter of 2022, a staggering 15 million data records were compromised on a global scale as a result of data breaches, marking a significant 37% increase from the previous quarter. During the entirety of 2022, the United States alone experienced 1802 cases of data breaches. In addition, technological advancements in Cloud-based technologies and an increasing number of connected devices would create lucrative growth opportunities. However, a lack of understanding regarding cyber security and the increasing use of alternative security applications stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Software Defined Perimeter Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America is dominating the market, with advanced cybersecurity infrastructure and the increasing adoption of cloud-based technologies. The region is known for its significant investments in research and development, leading to the development of innovative SDP solutions. Asia Pacific is the fastest growing region over the forecast period, owing to factors such as rapid digitization, increasing cybersecurity threats, and the adoption of cloud computing in the region.

Major market player included in this report are:
Cisco System, Inc.
Akamai Technologies, Inc.
Palo Alto Networks
Symantec Software and Services India Private Ltd.
Okta, Inc.
Proofpoint, Inc.
Verizon Communications, Inc.
Fortinet, Inc.
Intel Corporation
Pulse Secure LLC

Recent Developments in the Market:
Ø In November 2022, Verizon Business and Wipro Limited, a technology services and consulting company, collaborated to integrate Wipro’s Network-as-a-Service (NaaS) solution with Verizon Business. This partnership aimed to accelerate cloud transformation and network modernization for businesses. By leveraging this collaboration, Wipro enabled customers to transition from legacy deployment cycles of hardware, services, and applications to a secure and automated network service environment.

Global Software Defined Perimeter 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 -Deployment, Enterprise, End-User, 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 Deployment:

By Enterprise:
Small & Medium Enterprise
Large Enterprises

By End-User:
IT & Telecom

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. Software Defined Perimeter Market, by Region, 2020-2030 (USD Billion)
1.2.2. Software Defined Perimeter Market, by Deployment, 2020-2030 (USD Billion)
1.2.3. Software Defined Perimeter Market, by Enterprise, 2020-2030 (USD Billion)
1.2.4. Software Defined Perimeter Market, by End-User, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Software Defined Perimeter 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 Software Defined Perimeter Market Dynamics
3.1. Software Defined Perimeter Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing deployment of cloud-based technology Increasing cases of cyber-attacks and data breach
3.1.2. Market Challenges Lack of understanding regarding cyber security Increasing use of alternative security applications
3.1.3. Market Opportunities Technological advancements in Cloud-based technologies Increasing number of connected devices
Chapter 4. Global Software Defined Perimeter 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 Software Defined Perimeter Market, by Deployment
5.1. Market Snapshot
5.2. Global Software Defined Perimeter Market by Deployment , Performance – Potential Analysis
5.3. Global Software Defined Perimeter Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
5.4. Software Defined Perimeter Market, Sub Segment Analysis
5.4.1. Cloud
5.4.2. On-premise
Chapter 6. Global Software Defined Perimeter Market, by Enterprise
6.1. Market Snapshot
6.2. Global Software Defined Perimeter Market by Enterprise , Performance – Potential Analysis
6.3. Global Software Defined Perimeter Market Estimates & Forecasts by Enterprise 2020-2030 (USD Billion)
6.4. Software Defined Perimeter Market, Sub Segment Analysis
6.4.1. Small & Medium Enterprise
6.4.2. Large Enterprises
Chapter 7. Global Software Defined Perimeter Market, by End-User
7.1. Market Snapshot
7.2. Global Software Defined Perimeter Market by End-User, Performance – Potential Analysis
7.3. Global Software Defined Perimeter Market Estimates & Forecasts by End-User 2020-2030 (USD Billion)
7.4. Software Defined Perimeter Market, Sub Segment Analysis
7.4.1. BFSI
7.4.2. IT & Telecom
7.4.3. Manufacturing
7.4.4. Government
7.4.5. Healthcare
7.4.6. Education
7.4.7. Others
Chapter 8. Global Software Defined Perimeter Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Software Defined Perimeter Market, Regional Market Snapshot
8.4. North America Software Defined Perimeter Market
8.4.1. U.S. Software Defined Perimeter Market Deployment breakdown estimates & forecasts, 2020-2030 Enterprise breakdown estimates & forecasts, 2020-2030 End-User breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Software Defined Perimeter Market
8.5. Europe Software Defined Perimeter Market Snapshot
8.5.1. U.K. Software Defined Perimeter Market
8.5.2. Germany Software Defined Perimeter Market
8.5.3. France Software Defined Perimeter Market
8.5.4. Spain Software Defined Perimeter Market
8.5.5. Italy Software Defined Perimeter Market
8.5.6. Rest of Europe Software Defined Perimeter Market
8.6. Asia-Pacific Software Defined Perimeter Market Snapshot
8.6.1. China Software Defined Perimeter Market
8.6.2. India Software Defined Perimeter Market
8.6.3. Japan Software Defined Perimeter Market
8.6.4. Australia Software Defined Perimeter Market
8.6.5. South Korea Software Defined Perimeter Market
8.6.6. Rest of Asia Pacific Software Defined Perimeter Market
8.7. Latin America Software Defined Perimeter Market Snapshot
8.7.1. Brazil Software Defined Perimeter Market
8.7.2. Mexico Software Defined Perimeter Market
8.8. Middle East & Africa Software Defined Perimeter Market
8.8.1. Saudi Arabia Software Defined Perimeter Market
8.8.2. South Africa Software Defined Perimeter Market
8.8.3. Rest of Middle East & Africa Software Defined Perimeter Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Cisco System, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Akamai Technologies, Inc.
9.3.3. Palo Alto Networks, Inc.
9.3.4. Symantec Software and Services India Private Ltd.
9.3.5. Okta, Inc.
9.3.6. Proofpoint, Inc.
9.3.7. Verizon Communications, Inc.
9.3.8. Fortinet, Inc.
9.3.9. Intel Corporation
9.3.10. Pulse Secure LLC
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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