Runtime Application Self-Protection Market Analysis

  • Report ID: 4122
  • Published Date: May 22, 2024
  • Report Format: PDF, PPT

Runtime Application Self-Protection Market Analysis

Component {Solutions (Web Applications, Mobile Applications)

The global runtime application self-protection (RASP) market is segmented and analyzed for demand and supply by component into solutions and services. The solutions segment is further divided into web applications, mobile applications, and others, out of which, the web applications segment is expected to witness high growth over the forecast period owing to their growing adoption due to increasing web application attacks. Attacks on web applications increased by about 800% within the first half of 2020, eight times higher than the same period in 2019 globally. Web applications raise several cybersecurity concerns, making them weak or vulnerable to attacks, which can give attackers direct access to a public database. The web application segment market is estimated to rise the market growth owing to the increasing security provided by them compared to other applications. The web applications can be operated directly online on the website without the need for installation or downloading. This prevents the risk of unwanted attacks, and virus entry, and saves so much loading time, and storage. Also, web applications can be customized based on the requirement and specifications of the customers. The scalability also increases the customer experience and satisfaction while using the applications. There are 50% of web visits across the world from mobiles and over 50% from desktops as of 2023 estimations.

Deployment Mode (On-premises, Cloud)

The global runtime application self-protection (RASP) market is also segmented and analyzed for demand and supply by deployment mode into on-premises and cloud. The cloud segment is estimated to grow at the highest rate and hold the largest market share owing to the several benefits it provides to organizations with increased scalability such as reduced operational and maintenance costs, enhanced managing capabilities, and 24/7 services. The increasing number of internet users with rising penetration of the internet across the world and the increasing population using smartphones and laptops that need cloud servers to store huge data without any app installation is estimated to boost the market growth during the forecast period. About 5 billion people use the internet across the world as per the 2023 reports.

Our in-depth analysis of the global market includes the following segments:

         By Component

  • Solutions (Web Applications, Mobile Applications, Others)
  • Services (Professional Services, Managed Services)

         By Product

  • On-premises
  • Cloud

         By Enterprise Size

  • Small & Medium-sized Enterprises
  • Large Enterprises

          By End-User

  • BFSI
  • IT & Telecommunications
  • Government & Defence
  • Energy and Utilities
  • Manufacturing
  • Healthcare
  • Retail
  • Others
 
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Author Credits:  Abhishek Verma


  • Report ID: 4122
  • Published Date: May 22, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

In the year 2024, the industry size of runtime application self-protection is estimated at USD 1 Billion.

Runtime Application Self-Protection (RASP) Market size was over USD 900 Million in 2023 and is expected to cross USD 23.4 Billion by the end of 2036, growing at more than 33% CAGR during the forecast period i.e., between 2024-2036. Increasing demand for integrated security suites and implementation of the bring-your-own-device (BYOD) policy are the major factors driving the market growth of the global runtime application self-protection (RASP) market.

The North America industry is set to hold the largest market share by 2036, impelled by high internet penetration, and growing incidences of data breaches and malware attacks on organizations.

Digital.ai Software Inc., Contrast Security, Guardsquare nv, Micro Focus, Pradeo, Signal Sciences, LLC, OpenSpan, Waratek, VERACODE, Imperva
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