Search results for: 'computing device ofatoms'

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...

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...

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 study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

Quantum computing developments have witnessed a remarkable progress in the two past decades, involving a multi-disciplinary field of applied research. With the advent of disruptive technologies which addresses individual quantum states, quantum properties such as superposition and entanglement have led to the development of a completely new approac...

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 ...

The global semiconductors industry registered growth in 2020 after declining by 12.0% in 2019. Growth in 2020 was attributed to the increasing sales of notebooks, tablets, and datacenter (DC) products. In 2021 (and beyond), growth will be driven by the technology convergence of connectivity and AI/ML, which will be the core of product developmen...

This research service provides an in-depth analysis of the Asia-Pacific (APAC) and Rest of World (ROW) semiconductors market in next generation mobile computing. Segments are divided by mobile device and mobile infrastructure. APAC and ROW are the global hotspots for semiconductor growth, especially from the mobile computing segment. APAC/Row inclu...

19 Dec 2024  |  Global  |  Market Research

Global Semiconductor Devices Market Outlook, 2024-2025

Moving AI Hardware Beyond Data Centers to Edge Devices is Driving Transformative Growth as Sustainability and CASE Trends Curb Declines in Industrial and Automotive Markets

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The global semiconductor devices industry registered a 6.9% decline in 2023 after a 3.5% slowdown in growth in 2022. Growth in 2023 was attributed to the industrial and automotive markets capitalizing on the EV, CASE, and digital transformation efforts. Growth in 2024 (and beyond) will be driven by the technology convergence of connectivity and AI/...