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The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Battery Intelligence, SoCs, Image Sensors, LiDAR and V2X among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant but potent...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

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 Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Urban Mobility, Radar, LiDAR, and Autonomous Fleet Intelligence, among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant bu...

Seamless software upgrades and new monetization streams are only some aspects of the larger idea of vehicle connectivity. As importantly, vehicle connectivity will allow stakeholders the prospect of better understanding their customer, offering them unparalleled, personalized experiences and, in a virtuous cycle, creating clear value propositions t...

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...

10 Sep 2019  |  Global  |  Market Research

2025 Vision of Truck Telematics Market

Burgeoning Need for Data Intelligence to Enable New Revenue Streams

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Key Issues Addressed

The fleet telematics industry is undergoing significant transformation in terms of ‘platformization’, digitalization, and data-driven business models. This transformation in the industry is set to open revenue opportunities for vendors as they diversify into new service-related revenue streams. Major telematics vendors have understood the need for ...

The passenger vehicle driveline landscape is undergoing a transformation due to the rapid adoption of ZEVs and stricter emissions regulations. From 2025 to 2032, the global driveline market value is projected to increase from approximately $26.1 billion to $62.3 billion at a compound annual growth rate of 13.2%, fueled by electrification in major a...

This study analyzes the regulatory framework of the connected vehicle sector’s various segments in Europe, North America, and China. The increase in embedded navigation systems and 5G technology will drive several new CV features through an app or service. The deployment of over-the-air (OTA) software updates and personal information sharing for a ...