Search results for: 'drive integration of termin ad ai'

Terminal tractors are important in port and warehouse operations. The terminal tractor is a versatile machine for a variety of uses such as moving semi-trailers. The industry has grown significantly in recent years, with a global market size of $727 million in 2022, and will likely record a 7.5% compound annual growth rate (CAGR) to reach $1.3 bill...

17 Sep 2024  |  Global  |  Market Research

ADAS and AD Sensor Suite Strategies, Europe, 2024 2030

OEMs Strategies Will Drive Transformational Growth by Using LiDAR as a Primary Sensor with Cameras and Imaging Radar to Meet the Rise of Eyes-off Driving

Infographics

×

Key Issues Addressed

The global automotive industry is going through a transformation with the convergence of the connected, autonomous, shared, and electric (CASE) trends. Connectivity and autonomous driving (AD) features are leading this transformation. Globally, OEMs are looking to introduce various advanced driver assistance system (ADAS) features ranging from L0 t...

The automotive industry value chain is transitioning from the traditional pyramid form to a flat one. Technology companies work with original equipment manufacturers (OEMs) and tiered suppliers to develop, validate, supply, and integrate advanced driver-assist technologies that enable hands-off driving to enhance the comfort and convenience for the...

03 Sep 2025  |  Asia Pacific  |  Market Research

Passenger Vehicle Autonomous Driving Market, China, 2024-2030

Navigate on Autopilot Accelerates the Shift Towards Autonomous Driving

Infographics

×

An autonomous vehicle requires either partial driver assistance or may achieve fully autonomous driving. These vehicles operate through the coordinated integration of artificial intelligence (AI), computer vision, radar systems, monitoring devices, and GPS.The autonomous driving market in China is experiencing rapid growth, with market penetration ...

20 May 2024  |  Global  |  Market Outlook

Global ADAS and Autonomous Driving Outlook and Growth Opportunities, 2024

Automated Parking and Increased Penetration of Eyes-off Driving Technologies Will Ensure Future Growth Potential of the Autonomous Driving Industry

Infographics

×

The automotive industry faces many challenges, such as regulatory hurdles, semiconductor shortages, and geopolitical chaos. Original equipment manufacturers (OEMs) and value chain partners are realigning their product strategies, road maps, and launch timelines to adapt to these challenges. They have rerouted investments to develop and deploy hands...

This analysis examines the AI applications reshaping the automotive aftermarket ecosystem, exploring key adoption areas, regional dynamics, emerging use cases, and AI-driven investments driving change in operations and business models. Structured into six core segments, the report focuses on major value chain streams: Remote and On-Bay Diagnostics ...

09 May 2019  |  North America  |  Market Outlook

Global Autonomous Driving (AD) Industry Outlook, 2019

1 in 4 Cars Sold (18 Million) Globally is Expected to be Automated (L3 and Above) by 2030, with L4 Driving the Growth of Ownership

Infographics

×

Key Issues Addressed

The autonomous driving industry is evolving at a rapid pace on various fronts such as advancements in technology as well as emergence of new business models. Traditionally, most major OEMs and Tier I suppliers have strived to explore the benefits of developing applications focused on the convergence of the three technology pillars: Connected, Auton...

This study examines the development prospects that artificial intelligence (AI) offers the commercial vehicle (CV) industry, focusing on both the revolutionary potential of AI and the difficulties businesses face in fostering growth, including complicated regulations, high capital expenditure, and challenges in incorporating new technology into pre...

Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development i...