Search results for: 'cool model'

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 automotive biometrics market is witnessing high growth projections, due to the emerging use cases of the technologies in the field. Despite a slowdown in the automotive market, integration of biometric technologies in vehicles remains a key area of focus for automotive vendors and OEMs. Automotive vendors are looking for biometric soluti...

Sensors have the potential to transform any industry owing to the various benefits associated with them. Traditionally, different types of sensors have been deployed for homeland security, which are however undergoing advancements to develop newer technologies such as electronic noses (e-noses) and electronic tongues (e-tongues), which have the cap...

The unprecedented US tariff measures introduced in 2025 have triggered a global trade conflict, resulting in sharp contractions of trade volumes, extensive supply chain disruptions, and a profound reconfiguration of international business practices. With US average tariff rates surging to their highest levels in nearly a century, governments and bu...

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...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

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 escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

This study aims to provide a quantitative model that describes revenues and forecasts of different flow sensors and transmitters categorized into 11 different technologies types which can be further classified into wired and wireless. It also provides revenues and forecasts in terms of 11 end users of flow transmitters that can be categorized into ...