Semiconductors, Data Centers & AI

In the last week Google's latest quantum breakthrough has been splashed across the headlines. This has created a surge of interest in quantum and the revolutionary potential of this technology. IDTechEx has been following key trends in the quantum technology market for many years, and this article picks out key takeaways you should know that go beyond the buzz.

Thursday 19 December 2024 - What is quantum computing, and what is the state of the industry?; How is the industry evolving as commercialisation ramps up?; How do scalability challenges vary between quantum computing modalities?; What are some key updates from major players in the eco-system from 2024?; Which trends can be expected in the quantum computing market in 2025 and beyond?

Ensuring that a suitable diagnostic service is provided for insured battery deployments can be advantageous. Already, the market has seen arrangements whereby an insurer will offer better premiums for fleet and BESS owners should they use machine-learning-assisted diagnostics services.

IDTechEx predicts that 2024 and the coming couple of years will be seen as the hockey-stick moment for robotaxis. Companies across the US and China are preparing for a mass roll-out of services. Cruise was one of the early leaders in robotaxi development, getting off to a good start and attracting the attention of General Motors who acquired the company in 2016. However, in December 2024 it appears that GM and Cruise's robotaxi endeavour is coming to a premature end.

As quantum computing capabilities are becoming more sophisticated, so has engagement from research institutions and supercomputing centers who are investing tens of millions for on-premises installations of the latest machines. So, as pressure mounts on quantum computing to continue showing it is on track to provide a return on investment from governments and private ventures alike - what are the crucial next steps?

Thursday 12 December 2024 - Machine Learning Methods for Battery Development, Manufacturing and Management; An introduction to challenges in the battery industry; An overview of machine learning and how it can be applied for batteries; Use-case analysis for five different market sectors Business model analysis for the overall market; Qualitative conclusions on how and where machine learning will see use over the next few years

Thursday 19 December 2024 - What is quantum computing, and what is the state of the industry?; How is the industry evolving as commercialisation ramps up?; How do scalability challenges vary between quantum computing modalities?; What are some key updates from major players in the eco-system from 2024?; Which trends can be expected in the quantum computing market in 2025 and beyond?

The development of autonomous buses and roboshuttles is likely to continue somewhat slowly due to a lack of funding and regulatory challenges. However, IDTechEx highlights the next stages of developments within their report, and with the already commercialized examples of autonomous city buses and minibusses, success in the industry is increasingly likely.

As the electric vehicle (EV) and battery energy storage system (BESS) industries grow, requirements for the batteries that power them become more demanding. To achieve more energy-dense batteries that aren't unsustainably expensive, faster battery development is needed, as well as more efficient management, manufacturing, and recycling methods. Artificial intelligence (AI) will play an important role in achieving these goals.

Utilizing alternatives to helium where possible could allow for a greater conservation of helium, which could prove to be necessary for the market going forward. IDTechEx reports that since 2005, there have been 4 supply shortages of helium, each resulting in high price volatility, with the price of helium having almost doubled since 2021.