Search results for: 'endpoint detection app detection'

The proliferation of software-defined vehicles, centralized compute architectures, connected services, and over-the-air software updates is fundamentally transforming automotive cybersecurity from a product development activity to a continuous operational discipline. As connected vehicle ecosystems expand, OEMs require capabilities that extend beyo...

Insurance is a vital safety net that protects individuals against the financial blowback of accidents by covering vehicle repairs, medical expenses, and potential liabilities. The automotive industry s increasing digitization has brought significant changes to automotive insurance. First notice of loss (FNOL) and digital accident detection and resp...

12 Aug 2022  |  Global  |  Market Research

Strategic Analysis of Automotive App Stores Market

Digitization to Ensure Transformational Growth of OEMs and Other Stakeholders, Creating New and Renewable Revenue Streams

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Key Issues Addressed

This strategic analysis of app stores offers insight into a new business model that will shape the automotive industry in the coming years. The in-car app store ecosystem consists primarily of automakers, brands, platform providers, app store developers, payment integrators, and users. The study also analyzes current developments in the in-car app ...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to object detection, electric vehicles, smart batteries and Radar. Some of the innovations profiled include Object Detection System Redefining Safety and Scalability in Driverless Vehicle Testing, Autonomous Electric Vehicle System Transforms Urban Passenger Transit, Int...

Automotive perception sensors based on cameras, LiDAR, ultrasonics, and conventional 2D radars have come far in their detection, range, resolution, and processing capabilities but still have inherent limitations. High deployment costs and the inability to detect in adverse weather conditions, see through solid objects, or meet other safety requirem...

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 sensing is transitioning from laboratory research to industrial deployment, driven by the need for ultra-precise, reliable measurement in high-impact sectors such as healthcare, defense, and advanced manufacturing. This shift reflects a broader move from controlled, research-grade environments toward scalable, field-ready systems that meet ...

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...

The global automotive insurance industry is undergoing an impressive transformation as digitalization, connectivity, and data-driven models reshape how insurance is designed, delivered, and experienced. Traditional static policies are giving way to dynamic, usage-based, and behavior-based products that reflect real-world driving habits, enabled by ...