Search results for: 'ai infrastructure development access adas'

Driven by regulation, consumer acceptance, and rapid strides in active safety system technology, the penetration of Advanced Driver Assist Systems (ADAS) in European new Light Vehicle sales has grown at a blistering pace. Even as increasing ADAS-equipped vehicle sales are anticipated to translate into lower crash rates and severity in the long term...

The global automotive industry is going through a transformation with CASE convergence. Connectivity and autonomous driving features are at the forefront of this transformation. Globally, OEMs are looking to introduce various ADAS features ranging from L0 to L2+. These features are not just safety enhancements but are also viewed as comfort and con...

The Latin American charging infrastructure market is emerging, but the number of charging points is reducing. In 2022, for example, the region had 6,492 public and semi-public charging points to cater to an electric vehicle (EV) parc of about 89 thousand units. Despite that, the market is expected to witness rapid growth, especially due to the risi...

AI infrastructure is rapidly evolving from stand-alone compute environments to vertically integrated AI platforms that combine compute, networking, storage, cloud software, orchestration, security, and intelligent data management. Platform-centric architectures are becoming essential to support scalable AI training, inference, and agentic AI worklo...

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 ...

This Frost Radar examines advanced driver assistance systems (ADAS), ADAS AI, and next-stage autonomous-driving technologies as a fast-evolving domain reshaping mobility and safety. As automakers, Tier I suppliers, chipmakers, AI software developers, and autonomous mobility companies improve perception, prediction, planning, validation, and vehicle...

The global data centre industry is entering a new growth phase, driven by surging AI adoption, expanding cloud ecosystems, energy transition requirements, and the increasing digitisation of economies. The most significant growth opportunities are emerging at the intersection of computing capacity, energy infrastructure, cooling innovation, digital ...

The automotive industry faces challenges such as regulatory hurdles, electrification, the rise of software-defined vehicles (SDVs), semiconductor shortages, and geopolitical chaos. OEMs and value chain partners are realigning their product strategies, roadmaps, and launch timelines to adapt to these challenges. They have rerouted investments to dev...

The global automotive industry is going through a transformation with CASE convergence. Connectivity and autonomous driving features are at the forefront of this transformation. Globally, OEMs are looking to introduce various ADAS features ranging from L0 to L2+. These features are viewed as not only safety enhancements but also comfort and conveni...