Europe Neuromorphic Chip Market Size

Europe Neuromorphic Chip Market Analysis

The European neuromorphic chip marketplace is experiencing an excessive increase because of the growing call for artificial intelligence and customer preference for small-sized merchandise primary to the requirement of miniaturization of ICs. And the market is expected to register a CAGR of 50.2% during the forecast period.

• With the appearance of intelligent technology, smart sensors are getting used in many end-consumer industries like automotive, electronics, and medical. The increase of the neuromorphic chip marketplace is hindered because of the gradual tempo of development, notwithstanding heavy R&D investments and rising complexities of hardware design.
• Implementing neuromorphic chips throughout extensive end-customers, including medical, navy, protection, etc., is possible in this region. Current deep-mastering strategies and related hardware face numerous hurdles, including the economics of Moore's Law, which makes it appreciably hard for a start to compete withinside the AI space, restricting competition.
• Meanwhile, the market needs extra real-time speech popularity and translation performance, real-time video understanding, and real-time view for robots and cars. Several programs require additional intelligence that mixes sensing and computing.
• Moreover, the increasing use of biometrics and in-speech recognition drives the demand for neuromorphic chips in smartphones. These chips are used to process audio data in the cloud and then return it to the phone. Additionally, Artificial Intelligence (AI) requires more computing power. Still, low-energy neuromorphic computing could significantly push applications presently in the cloud to run directly in the smartphone in the future without substantially draining the phone battery.
• The prominent features driving the adoption of neuromorphic chipsets include low power consumption, stochastic operations, pattern recognition, fault tolerance, faster computation, and scalability. Emulating neurons on a chip should improve processes and make business decisions cost-effective and reliable.
• The outbreak of COVID-19 has created unprecedented circumstances resulting in many deaths and risk of community spreading throughout the world. This created a need for desperate measures to detect the disease at an early stage via various medically proven methods like chest computed tomography (CT) scan, chest X-Ray, etc., to prevent the virus from spreading across the community. Developing deep learning models for analyzing these radiological images is a well-known methodology in computer-based medical image analysis. Further, the market has gained traction as the countries are removing restrictions and things are returning to normal. The demand for neuromorphic chips is anticipated to grow significantly over the forecasted period.