Search results for: 'Modeling software market'

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

Energy harvesting sensor solutions are emerging as a foundational layer for large-scale ambient IoT, enabling autonomous, battery-free sensing across distributed and infrastructure-intensive environments. By converting ambient energy sources such as light, heat, vibration, and RF into usable power, these sensors eliminate the need for wired power a...

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...

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...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Advanced Chip Packaging, Edge AI Accelerators, GaN, 6G and Photonics. Some of the innovations profiled include Chips on Panel on Substrate Advanced Chip Packaging for Next-Gen AI Systems, Room-Temperature Printable Ink for Adaptive Electronics, GaN for Ultra-Fast 6G...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Sub-1 Nm Chip technology, MMIC, SOC, Photonic Chiplet, GaN and Power Electronics among others.The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on electron...

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...

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...