Autonomous vehicles

'Robotics' takes on many different forms today. This article explores the way cars could pre-empt a driver's needs and make coffee-stop decisions en route, to humanoid robots operating in warehouses and cobots assisting humans in production lines.

2025 has yielded massive jumps in autonomous vehicle technology, both in hardware and software. IDTechEx's report, Autonomous Driving Software and AI in Automotive 2026-2046: Technologies, Markets, Players, forecasts a more than 1,000 times increase in software-related revenue for autonomous vehicles from 2026 to 2046.

IDTechEx covers the ever-growing, multifaceted autonomous vehicle market, made possible with advancing automotive radar and sensing technology. This article covers front and side vehicle radars, and the use of in-cabin sensing and AI features.

Webinar: IDTechEx Analyzes the Market and Technology: Is Autonomous Driving Software Ready to Take on the World? Presenter: John Li, Technology Analyst, IDTechEx Date: Thursday 11 September 2025

The concept of the Software-Defined Vehicle (SDV) has rapidly emerged as a transformative trend reshaping the automotive industry. Yet, despite widespread use of the term, there remains significant confusion around its core meaning, structural elements, and real-world driving forces.

IDTechEx forecasts that the market size of thermal interface materials (TIMs) will exceed US$7 billion, covering multiple industries including EV batteries, EV power electronics (TIM1 and TIM2), data centers, advanced semiconductor packaging (TIM1 and TIM1.5), ADAS sensors, consumer electronics, and 5G. Find out more in this new article by Senior Technology Analyst Yulin Wang.

Webinar: Software Defined Vehicles: Central Compute, OTA Monetization & AI - Market Outlook to 2036 Presenter: Shihao Fu, Technology Analyst, IDTechEx Date: Thursday 21 August 2025 Can't attend live? Register anyway to receive the on-demand recording and presentation slides, available for a limited time.

Co-habiting or working alongside robots with humanlike capabilities may no longer be a thing of science-fiction. This article covers humanoid robots, collaborative robots, and vehicle autonomy, as well as the use of AI software within robotics.

As software becomes an increasingly important differentiator and component of autonomous driving, the term 'end-to-end' has been used to describe a new approach to autonomous driving software. End-to-end autonomous driving systems are defined by the input of raw sensor data into a deep learning model, and outputting vehicle control commands such as steering, acceleration, and braking. This represents a paradigm shift from the traditional modular software approach used in autonomous vehicles.

Making the call to order a coffee on-the-go could be the new normal for vehicles fitted with in-cabin sensing features and artificial intelligence systems. This article explores the future of software-defined vehicles and increasing levels of autonomy.