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Apple Inc’s integration of VCSELs into smartphones for 3D sensing applications has triggered R&D activities and demand for the technology amongst its competitors. The technology showcases high adoption potential across various industries such as consumer electronics and automotive in the long term. VCSELs hold potential to disrupt existing illumina...

The semiconductor industry is approaching the physical and economic limits of traditional lithography, driving the emergence of next-generation patterning technologies essential for scaling beyond 3 nm and into the sub-2 nm era. This report explores the technological evolution, ecosystem enablers, and strategic implications of next-gen lithography,...

This study focuses on how next-generation chiplet architectures, high-bandwidth memory (HBM), and advanced packaging technologies such as 2.5D/3D integration and fan-out wafer-level packaging are enabling the next wave of AI and high-performance computing (HPC) system architectures, rather than providing a broad packaging market overview. It analyz...

24 Jul 2024  |  Global  |  Technology Research

Radar R&D Portfolio Assessment and Opportunity Analysis

Millimeter-Wave Radar and Radar-on-Chip Solutions are Driving Market Growth

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Radar technology will experience rapid growth because of improvements in enabling technologies and growing demand in the automotive, defense, aerospace, consumer electronics, manufacturing, and energy industries. The technology has diverse applications and use is expanding with the adoption of IoT devices and penetration of 5G technology. The lo...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

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...

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...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...