Software Defined Perimeter Market by Deployment (Cloud, On-premise), by Enterprise Type (Small & Medium Enterprise, Large Enterprises), by End User (BFSI, IT & Telecom, Manufacturing, Government, Healthcare, Education, Others), by By Deployment (Cloud, On-premise), by South America (Brazil, Argentina, Rest of South America), by Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by The Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of the Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania China, Rest of Asia Pacific) Forecast 2024-2032
The Software Defined Perimeter Marketsize was valued at USD 6.92 USD billion in 2023 and is projected to reach USD 32.81 USD billion by 2032, exhibiting a CAGR of 24.9 % during the forecast period. Software Defined Perimeter (SDP) is a security model for dynamically establishing a network perimeter around users, devices, and applications that opens the network resource to what’s permitted based on identity and context and not geographical network boundaries. Solutions of SDP are of two forms Identity- It restricts the access to users with specific credentials While Device-based restricts policies to specific devices. Attributes such as dynamic access controls, encryption, and micro-segmentation are some of the features of SDP because they minimize the exposure to threats and confine the effects of a breach if one occurs. Thus, SDP is widely used in the reinforcement of access to distant networks, safeguarding of cloud services, and security management for dispersed structures. This creates more security because instead of a fixed boundary around assets, a more malleable, better-suited boundary is applied.
Deployment:
Enterprise Type:
End User:
North America is currently the largest market for SDP, followed by Europe and Asia Pacific. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period due to increasing cloud adoption and government regulations.
In 2022, Cisco acquired SASE provider Acacia Communications, expanding its SDP portfolio.
Government regulations on data protection and privacy are driving the adoption of SDP solutions to ensure compliance.
Numerous patents have been filed in the SDP market, focusing on technologies such as ZTNA, AI-based threat detection, and serverless SDP.
SDP is becoming an essential tool for organizations to secure their networks in the face of growing cyber threats and the adoption of remote work models. The integration of AI and ML into SDP solutions is expected to further enhance their effectiveness and drive market growth.
Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 24.9% from 2018-2032 |
Segmentation |
|
Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 24.9% from 2018-2032 |
Segmentation |
|
Note* : In applicable scenarios
Primary Research
Secondary Research
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
MR Forecast provides premium market intelligence on deep technologies that can cause a high level of disruption in the market within the next few years. When it comes to doing market viability analyses for technologies at very early phases of development, MR Forecast is second to none. What sets us apart is our set of market estimates based on secondary research data, which in turn gets validated through primary research by key companies in the target market and other stakeholders. It only covers technologies pertaining to Healthcare, IT, big data analysis, block chain technology, Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Energy & Power, Automobile, Agriculture, Electronics, Chemical & Materials, Machinery & Equipment's, Consumer Goods, and many others at MR Forecast. Market: The market section introduces the industry to readers, including an overview, business dynamics, competitive benchmarking, and firms' profiles. This enables readers to make decisions on market entry, expansion, and exit in certain nations, regions, or worldwide. Application: We give painstaking attention to the study of every product and technology, along with its use case and user categories, under our research solutions. From here on, the process delivers accurate market estimates and forecasts apart from the best and most meaningful insights.
Products generically come under this phrase and may imply any number of goods, components, materials, technology, or any combination thereof. Any business that wants to push an innovative agenda needs data on product definitions, pricing analysis, benchmarking and roadmaps on technology, demand analysis, and patents. Our research papers contain all that and much more in a depth that makes them incredibly actionable. Products broadly encompass a wide range of goods, components, materials, technologies, or any combination thereof. For businesses aiming to advance an innovative agenda, access to comprehensive data on product definitions, pricing analysis, benchmarking, technological roadmaps, demand analysis, and patents is essential. Our research papers provide in-depth insights into these areas and more, equipping organizations with actionable information that can drive strategic decision-making and enhance competitive positioning in the market.