Neuromorphic Computing Market Analysis

Neuromorphic Computing Segmentation

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 2023 and 2035. 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:

Offering	Hardware Processor Memory Software
Deployment	Edge Computing Cloud Computing
Application	Signal Processing Image Processing Data Processing Object Detection
End Users	Aerospace Consumer Electronics Automotive IT & Telecom Military & Defense Industrial Medical

Frequently Asked Questions (FAQ)

Rising application of AI and ML, and the increasing use of cognitive and brain robotics are the major factors driving the market growth.

The market size of neuromorphic computing is anticipated to attain a CAGR of ~92% over the forecast period, i.e., 2023 â€“ 2035.

The major players in the market are IBM Corporation, Intel Corporation, Brainchip Holdings Limited, Qualcomm Technologies, HP Enterprise, HRL Laboratories LLC, Flow Neuroscience AB, Innatera Nanosystems B.V., Aspinity, Inc., Samsung Electronics Limited, and others.

The company profiles are selected based on the revenues generated from the product segment, the geographical presence of the company which determines the revenue generating capacity as well as the new products being launched into the market by the company.

The market is segmented by offering, deployment, application, end users, and by region.

The hardware segment is anticipated to garner the largest market size by the end of 2035 and display significant growth opportunities.

An increase in the complexity of algorithms and backend operations, and a lack of knowledge of neuromorphic technology are estimated to be the growth-hindering factors for the market expansion.

The market in the North American region is projected to hold the largest market share by the end of 2035 and provide more business opportunities in the future.

Neuromorphic Computing Market Analysis