As growing numbers of countries identify critical materials within their economies, the ability to recycle them is becoming increasingly important, especially considering both their economic importance and ongoing supply risks. Sustainability goals rely on growing technology sectors like electric vehicles, which rely on magnets to be manufactured, ultimately meaning sourcing and recycling critical materials is an economic necessity to keep supply chains running.

In this article, IDTechEx explores two different quantum sensing approaches: semiconductor-based and superconducting single-photon detectors, and the competition between them in enabling the photonic quantum computing and quantum communications industries.

When the Society of Automotive Engineers released their definitions of varying levels of automation from level 0 to level 5, it became easier to define and distinguish between the many capabilities and advancements of autonomous vehicles. Supervision and functionality remain in the balance as values to prioritize for OEMs choosing to employ higher levels of automation.

AI is placed to reshape the battery supply chain over the next few years, with machine learning providing powerful tools for cell developers, materials suppliers, battery users, and even recyclers. IDTechEx Technology Analyst shares more on how valuable data can finally be used to its full effect.

Thursday 20 February 2025 - Data Center Energy Use Exceeds Sweden's Annual Consumption, Driving Demand for Sustainable Technologies; Energy consumption overview; Regional regulations and hyperscalers' actions and targets; Scope 2: Power generation technology benchmarking and cost analysis; Scope 2: Energy efficiency trend of data center IT, thermal and electrical components; Scope 3 decarbonization technologies; Market size forecast of carbon-free energy for data center and future opportunities

Quantum computing is growing closer to realizing its full potential, pipe dreams have become tangible five-year plans, and more and more players are earning their own money for the first time. Finally, time will pass quicker than many appreciate in the years ahead - don't blink and miss the quantum computing market grow up, and the chance to leverage its disruptive potential at maturity.

The market for Silicon Photonics and PICs is experiencing robust growth, driven by the surge in AI and datacom transceiver demand. IDTechEx forecasts that PIC technology will continue to dominate the high-performance transceiver market, further solidifying its position as a critical component in the modern technological landscape.

Thursday 13 February 2025 - An introduction to quantum sensors, their value proposition and the current market landscape; The different categories of quantum sensors, measuring time, magnetic fields, acceleration, gravity, light, and more; Technology platforms for quantum sensors and some of the opportunities they present in components, materials, and manufacturing; Applications and key industries for the quantum sensor market to grow into over the next 20 years; Case study and conclusions for the quantum sensor market

The grip of AI has continued to hold, with strong competition to develop more powerful AI models, active innovation in the semiconductor industry, and continued investment in the High-Performance Computing (HPC) data center market. Artificial Intelligence has been a hot topic, particularly since generative AI's introduction with large language models (LLMs). In today's landscape, there is an ever-growing plethora of generative AI applications, not limited to generating images, videos, code, and data.

The electronics market is vast, with integrated circuits (ICs) being the third most traded product globally, presenting significant opportunities for sustainable electronics innovation. Action is currently being undertaken by many well-known electronics manufacturers to improve the sustainability and efficiency of their products. This includes water management strategies for semiconductor manufacturing, with over 500 billion liters of water used annually by the industry.

The battery industry is facing increasing pressure to develop new chemistries and materials to keep up with rising energy density and sustainability demands. The traditional materials discovery process is both expensive and time-consuming. Machine learning methods, specifically materials informatics, could provide a necessary avenue for accelerating the battery development process.

A free collection of insights from our industry experts, sharing some of the key technology innovation trends shaping the next decade.

By 2035, IDTechEx forecasts that the continued growth of artificial intelligence will result in over 2000 TWh of energy being consumed by data centers. The expected increase in CO2 emissions from powering these new data centers creates a dual challenge for both governments with net-zero targets and tech giants with internal carbon neutrality pledges alike: how can the unprecedented rise of AI be supported without causing major harm to the environment?

LiDAR has been touted as a solution to the automotive industry's endeavor to build safer and completely driverless cars, working towards a world with zero road fatalities and more accessible transport. So, after a decade of development, testing, trials, funding, partnerships, acquisitions, mergers, where is it? Why are there not more cars on the road running LiDAR?

The use of graphics processing units (GPUs) within high performance computing (HPC) has been increasingly adopted since the introduction of generative AI and large language models, as well as advanced memory, storage, networking, and cooling technologies. A major catalyst for growth has been the integration of AI into HPC workflows, where a convergence of the two unlocks opportunities in various fields by combining the powerful computational power of HPC with the intelligent data processing and "decision-making" of artificial intelligence.

The growing suite of quantum sensors available today opens a diverse range of applications, including use in electric vehicles, GPS-denied navigation, medical imaging, communications, and quantum computing. In this article, IDTechEx provides an overview of the quantum sensor market today, and a glimpse of the factors predicted to drive this emerging market to reach US$2.2B by 2045

The automotive industry has been using radar for two and a half decades. During that time, it has transformed from enabling luxury features on the most expensive cars, to being used ubiquitously for basic safety features in almost all new cars. This article goes through the three most important takeaways from the report. Starting with the huge growth that will be driven by side radars used in short-range applications.

Wednesday 29 January 2025 - State of the industry update on autonomous cars and factors driving demand for higher-performance radars; State-of-the-art technology from tier ones; Next-generation technologies from start-ups; Longer-term prospects for automotive radar

Quantum computers can be built in many ways. You may be familiar with the competing modalities claiming to offer various advantages over others in terms of quality, scalability, cost, and more. However, it is increasingly apparent across them all that new generations of optics and photonics technologies will be essential. This opens an exciting supply chain opportunity for many players, old and new, in the photonics eco-system.

The HPC hardware market is set for enormous growth driven by the ongoing AI boom, with a market value exceeding half a trillion dollars predicted by 2035. HPC has long been an integral tool across critical industries, from facilitating engineering modeling to predicting the weather. AI has intensified development in the sector, growing the capabilities of hardware technologies, including accelerators, interconnects, and memory, at astounding rates.