International Conference on Technological Intelligence and Business Strategies

Authors - Ayush Ghumare, Reena S. Satpute
Abstract - Mobile application development has evolved rapidly with the emergence of advanced technologies such as 5G connectivity, Artificial Intelligence (AI), Machine Learning (ML), and Mobile Edge Computing (MEC). These technologies are transforming the mobile ecosystem by enabling the development of intelligent, data-driven applications and accelerating development cycles. Mod-ern mobile applications are expected to provide real-time services, personalized user experiences, and seamless connectivity, which has significantly increased the complexity of mobile application design and implementation. It is resulting into many challenges. One of the major challenges in mobile application development is the inherent limitation of mobile devices, including restricted pro-cessing power, limited memory capacity, and battery constraints. Developers must optimize application performance while ensuring energy efficiency to pre-vent excessive battery consumption and degraded user experience. Additionally, the increasing reliance on third-party libraries and analytics tools may introduce security vulnerabilities, creating potential security gaps within applications. These risks are often intensified by the lack of specialized security expertise within development teams, raising concerns related to data privacy, application security, and software supply chain vulnerabilities. Another challenge is platform fragmentation, particularly within the Android ecosystem, where diverse devices, operating system versions, and hardware configurations complicate compatibility and performance optimization. This diversity increases testing complexity and development costs. Furthermore, integrating AI and ML models into mobile ap-plications requires careful decisions regarding cloud-based versus on-device pro-cessing. Therefore, developers must balance scalability, performance, security, and energy efficiency when designing modern mobile applications. This study presents systematic literature evaluation methodology, comparative analysis of native and cross-platform paradigms, software supply chain security frameworks, measurable energy optimization strategies, and practical industry case studies from healthcare, fintech, and mobile commerce sectors.