This new report "Critical Material Recovery 2026-2046: Technologies, Markets, Players" characterizes secondary source critical material recovery markets, technologies, and players. Market roadmaps for emerging secondary sources, value chain analysis, and twenty-year market forecasts from 2026 to 2046 are provided. IDTechEx identifies a significant value opportunity, with the critical material recovery market forecast to grow to over US$66 billion annually by 2046, at a CAGR of 9.2%.

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 has released a brand-new market report, "Glass in Semiconductors 2026-2036: Applications, Emerging Technologies, and Market Insights", providing end-to-end market intelligence for seven distinct glass product segments, with technology deep-dives, benchmarking, supply chain mapping, adoption drivers, risk analysis, and unit and revenue forecasts 2025-2036.

The new IDTechEx market report "Glass in Semiconductors 2026-2036: Applications, Emerging Technologies, and Market Insights" provides the first bottom-up market model segmented by seven physical product classes, from carrier wafers through to photonic tiles. Readers will gain a clear picture of how large the opportunity is - US$4.4 billion by 2036.

Growing hype and synergistic development with quantum computing and communications are driving interest and investment into the quantum technology sector unlike ever before. Quantum sensors are anticipated to generate revenues of over US$1.9 billion by 2046, with an average CAGR of 9.0% over the next twenty years.

Webinar: Commercial Quantum Computing: Cloud Services, AI, and Beyond Presenter: Noah El Alami, Technology Analyst, IDTechEx Date: Thursday 4 September 2025

In this article, IDTechEx examines the complex decisions shaping digital transformation in materials R&D and what they mean for the future of AI-powered innovation.

Thermal management technologies have a great prevalence across a number of sectors. This article covers some emerging thermal management methods taking place for EV batteries, data centers, and spacecrafts.

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.

Quantum technology developments are creating opportunities for increased sensing sensitivity, extra secure communications, and high-speed computing. This article explores three of the main areas of quantum technology that are on the rise.

Sensor technologies are advancing and being developed to detect things from human facial expressions and mood, all the way down to the tiny scale of particles on a quantum level. This article explores sensing technologies across different sectors including automotives, consumer devices, and quantum.

With the rising prevalence of these data centers, the accelerated computing chips needed within them are hot in today's markets. In the market report "AI Chips for Data Centers and Cloud 2025-2035: Technologies, Market, Forecasts", IDTechEx explores high-performance GPUs used in AI data centers and cloud computing. This article shows the scale of deployments from NVIDIA and AMD for today's AI infrastructure, and highlights technology enablers and challenges of these AI chips.

This new IDTechEx report characterizes the quantum sensor market, key technologies, and players. Coverage across 20 quantum sensing technology areas, with applications of quantum sensors in electric vehicles, navigation, medical imaging, and quantum computing with market forecasts from 2026 to 2046. It reveals significant opportunity, with the quantum sensor market forecast to reach US$1.9bn by 2046.

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.

This report provides an in-depth technical analysis of thermal interface materials (including TIM1/TIM2/TIM1.5) for EV batteries, power electronics, advanced semiconductor packaging, space and satellite technologies, data centers, EMI shielding, 5G, ADAS, and consumer electronics. 10-year granular area (m2), mass (kg), revenue (US$), and TIM unit price (US$) forecasts are given by application. The report covers recent developments in TIM fillers, high-performance TIMs, successful commercial uses, and historic TIM player acquisitions and partnerships. The report also identifies future TIM trends.

Semiconductors, co-packaged optics, and photonic integrated circuits are some of the research topics covered by IDTechEx showcasing the advancements being made in the semiconductor industry. This article explores some of the current trends and developments being made within the sector.

The audio industry may be on the verge of a technological revolution. For over a century, the operating principles of speakers have remained largely unchanged, but this article explores the emergence of MEMS (Micro-Electro-Mechanical Systems) speakers and how this paradigm shift could change the audio industry.

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.