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This study examines the technology landscape, commercialization progress, and future growth opportunities of wide-bandgap (WBG) semiconductor materials, with a primary focus on silicon carbide (SiC), gallium nitride (GaN), and gallium oxide (Ga₂O₃) for power and RF electronics. It evaluates how these materials enable higher efficiency, greater powe...

With the emergence of generative AI (GenAI), embedded SIM (eSIM), and satellite networks, the Internet of Things (IoT) space is undergoing a profound transformation. In response to these emerging trends, this study provides an overview of the traditional cellular IoT, massive cellular IoT, and non-licensed low-power wide area network (LPWAN) market...

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

This edition of the ITCC Technology Opportunity Engine explores growth in AI-integrated consumer behavior, explainable AI, seamless gaming, feature-flag tech, intelligent signal processing, e-SIM platforms, custom software, video intelligence, automated workflows, AI support agents, network APIs, real purchase data, edge digital twins, dynamic rewa...

This Frost & Sullivan study analyzes the global cellular IoT and LPWAN market between 2025 and 2031, covering traditional cellular IoT (2G/3G, 4G, and 5G), massive cellular IoT (NB-IoT, LTE-M, and 5G RedCap), and massive non-licensed LPWAN technologies (LoRaWAN, Sigfox, and other standards). The analysis evaluates market growth by technology, regio...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) explores significant advancements in IT and computing, focusing on enterprise solutions driving digital transformation across industries. It highlights a unified platform enhancing B2B data integration with real-time monitoring and automation, a database man...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) explores significant advancements in IT and computing, focusing on enterprise solutions driving digital transformation across industries. It highlights a various type of AI-enabled solutions with real-time monitoring and automation, conversational platforms,...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...