Search results for: 'computing hardware'

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...

The proliferation of internet of things applications, such as smart manufacturing and smart transportation, has resulted in the explosion of artificial intelligence (AI) and big data. These applications heavily rely on complex AI and machine learning algorithms, requiring computational solutions to handle varying workloads. Power-intensive, costly,...

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 ...

16 May 2022  |  Global  |  Market Research

Global Computer Vision Growth Opportunities

Computer Vision Technology will Enhance the Future Growth Potential of the ICT Industry

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This research service analyzes the core capabilities of computer vision technology and identifies the factors driving new use cases and greater adoption. Computer vision technology has advanced beyond object detection and achieved human emotion analysis. The COVID-19 pandemic has accelerated the adoption of computer vision in Industry 4.0 applicati...

03 Mar 2016  |  Asia Pacific  |  Market Research

Southeast Asian Surface Mount Technology (SMT) Equipment Hardware Market, Forecast to 2020

Key Vertical Segments Led by Medical Devices and Automotive to Boost Growth

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This research service provides information on the Southeast Asian SMT equipment market. The study provides an analysis of the total market as well as segments by country (Singapore, Malaysia, Thailand, Indonesia, Vietnam, and the Philippines), product types, end users, market competition, and distribution channels. The revenue forecast is provided ...