PERFORMANCE OPTIMIZATION TECHNIQUES IN REACT APPLICATIONS: A COMPREHENSIVE ANALYSIS

Abstract

Performance optimization remains a critical challenge in modern React applications, particularly as applications scale in complexity and user base. This comprehensive article analysis examines various optimization techniques across component-level, application-level, and data handling domains. The article presents a systematic evaluation of key optimization strategies including React.memo implementation, hook-based optimizations (useCallback, useMemo), code splitting with React.lazy and Suspense, and efficient large dataset management using React Virtualizer. Through detailed case studies of an e-commerce platform and a social media application, we demonstrate significant performance improvements: a 30% reduction in initial load times and enhanced user interaction responsiveness. The article identifies common implementation pitfalls and provides validated solutions for issues such as memoization overuse and inefficient component hierarchies. Performance metrics analysis reveals substantial improvements in load time, memory usage, and overall user experience. The findings provide a structured framework for implementing optimization strategies while balancing development complexity and maintenance overhead. This article contributes to the growing body of knowledge on React application optimization and offers practical guidelines for developers facing similar performance challenges.