Neuromorphic Computing Market Analysis

• Offering (Hardware, Processor, Memory, Software)

The hardware segment is anticipated to register significant growth in the coming years. The increasing use of hardware for neuromorphic computing such as microcontroller units (MCUs), and field programmable gate arrays (FPGAs) is expected to fuel the market segment gain. The neuromorphic chips are configured as biological brains, processing data, images, and sound to respond to the changes without a special program that is anticipated to hike the progression of the market segment. The rising adoption of neuromorphic hardware in the hardware platforms to speed up computing and increasing deployment, and incorporation of machine learning algorithms is likely to boost the market extension.

• End Users (Aerospace, Consumer Electronics, Automotive, IT & Telecom, Military & Defense, Industrial, Medical)

The consumer electronic segment is projected to reach a substantial growth rate between 2025 and 2037. The increasing demand for electronic devices and other electronics including smartphones, laptops, computers, and tablets, will be forecast to augment the market segment expansion. The increasing adoption of wearable devices with advancements in technology contributes to the well-being of the economy and neuromorphic engineering that hikes the neural networks in hardware and is estimated to hike the market segment expansion.

Our in-depth analysis of the global market includes the following segments: