Another aspect of the MAST application pertains to the differentiation between cross-platform and native mobile applications. Security considerations specific to a given operating system (e.g., iOS or Android) are necessary for native applications. Cross-platform applications present challenges about consistency in security standards and compatibility across various operating systems. MAST solutions need to cater to these nuances, offering testing methodologies that address the intricacies of both native and cross-platform development.
Additionally, automation has gained prominence in the market due to the imperative for scalability and efficacy in security testing procedures. Automated testing tools enable the rapid scanning of code, identification of common vulnerabilities, and continuous monitoring for potential threats. This trend aligns with the agile development practices common in the mobile app industry, facilitating faster release cycles without compromising security.
Nevertheless, achieving an optimal equilibrium between automated testing and human analysis presents a formidable obstacle. While automation excels in repetitive and rule-based tasks, certain aspects of security testing, such as identifying logical flaws and business logic issues, require the intuition and creativity of skilled human analysts. Automation integration aims to enhance the efficiency of MAST processes while ensuring accurate and comprehensive results.
The UAE has been actively embracing digital transformation initiatives across sectors, and healthcare is no exception. Integrating mobile applications into healthcare practices has become increasingly prevalent, facilitating remote patient monitoring, telemedicine consultations, appointment scheduling, and access to health information. This digital evolution necessitates stringent security measures, leading to an increased demand for MAST services. According to the data from the Government of UAE, the Middle East and North Africa's healthcare sector will increase from US $144 billion in 2020 to $243 billion by 2023, and Dubai's healthcare sector will assist in this rise. Thus, the growing healthcare sector in the LAMEA region will lead to increased demand for mobile application security testing.
The Brazil market dominated the LAMEA Mobile Application Security Testing Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $109 million by 2030. The Argentina market is registering a CAGR of 30.4% during (2023 - 2030). Additionally, The UAE market would showcase a CAGR of 29.3% during (2023 - 2030).
Based on Offering, the market is segmented into Solution, and Services. Based on Organization Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Deployment, the market is segmented into Cloud, and On-premise. Based on OS Type, the market is segmented into Android, iOS, and Other OS. Based on Vertical, the market is segmented into IT & Telecom, BFSI, Retail & E-commerce, Manufacturing, Healthcare & Life Science, Government & Defense, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
List of Key Companies Profiled
- IBM Corporation
- HCL Technologies Ltd. (HCL Enterprises)
- Open Text Corporation
- Qualys, Inc.
- Oracle Corporation
- Cisco Systems Inc.
- VMware, Inc. (Broadcom Inc.)
- GitLab Inc.
- Google LLC (Alphabet Inc.)
- Data Theorem, Inc.
Market Report Segmentation
By Offering- Solution
- Services
- Large Enterprises
- Small & Medium Enterprises
- Cloud
- On-premise
- Android
- iOS
- Other OS
- IT & Telecom
- BFSI
- Retail & E-commerce
- Manufacturing
- Healthcare & Life Science
- Government & Defense
- Others
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Companies Mentioned
- IBM Corporation
- HCL Technologies Ltd. (HCL Enterprises)
- Open Text Corporation
- Qualys, Inc.
- Oracle Corporation
- Cisco Systems Inc.
- VMware, Inc. (Broadcom Inc.)
- GitLab Inc.
- Google LLC (Alphabet Inc.)
- Data Theorem, Inc.
Methodology
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