Four Major Trends in Semiconductor Industry

Four Major Trends in Semiconductor Industry

Vision-based computing, neuromorphic chipsets, and hardware-level protection are redefining the architecture for next-generation vehicle experiences, and semiconductors are critical to their success.

Fremont, CA: Both modern-era digital devices, as well as future technologies, depend on the semiconductor industry. And in terms of revenue generation, it has increased by a factor of ten in the last decade, and it is expected to continue this trend well into the next.

Artificial intelligence (AI), the Internet of Things (IoT), quantum computing, and 5G, among other emerging technology segments, have had a significant effect on the semiconductor industry's dynamics, as have the connected world's increasing demands for higher processing speed and performance, low-power devices, and intelligent chipsets. Here are four trends in the semiconductor industry:

Laser Technologies

In semiconductor manufacturing, laser technologies are used for dicing, drilling, patterning, debonding, annealing, inspection, and metrology, to name a few. The need for die size reduction, increased yield, better quality, and precision are all driving laser's contribution to the global semiconductor market's development. This smooth transfer of a pre-existing technology from one industry to another has refined the process, and further advancements in the field will accelerate this trend.

Nano-Imprint Lithography

One of the most important factors in the evolution of semiconductors is semiconductor lithography. The latest advances in photonics, biochips, and front-end memory applications have resurrected Nano-Imprint Lithography (NIL) as the new frontier in this area.

AI Chips

Because of the many problems associated with computing power and storage shortages, machine learning (ML) tasks are often processed at remote data centers over the internet rather than on the user computer itself. AI chips provide a way around these limitations by allowing for localized ML processing while reducing the power and latency needed to send large datasets from edge devices to the cloud. As a result, smarter gadgets and machinery can be developed that do not need internet connectivity to work.

Automotive Semiconductors

The production of various semiconductor components has been propelled to the next level by advanced AI technologies, which are the cornerstone of autonomous vehicles. Additional semiconductor components, such as imaging and ranging sensors, are needed for advanced automation in a vehicle. Vision-based computing, neuromorphic chipsets, and hardware-level protection are redefining the architecture for next-generation vehicle experiences, and semiconductors are crucial to their success.