The global demand for Neuromorphic Computing Market is presumed to reach the valuation of nearly USD XX MN by 2026 from USD XX MN in 2019 with a CAGR of XX% under the study period of 2020 - 2026.
The neuromorphic computing system is inspired by the functioning of the human nervous system. The system consists of the production and use of a large integrating system that includes several analogue circuits. These analogue circuits imitate neurobiological behaviour system or neural network present in the human nervous system. The neuromorphic computing system is developed by programming brain like thought process and neural microcircuits and applying it in the machine learning process and cognitive computing. The system understands the brain functioning and performs like a human brain. The neuromorphic computing device is capable of high-speed simulations. There are several advantages of the neuromorphic computing system such as low power consumption, high speed, optimum use of memory, and cognitive computing. The device can process the information securely at a high speed. The neuromorphic computing devices are beneficial in military and defence sector where secured transmission of data is the utmost priority. Along with military and defence, these systems are applicable in industry sectors such as military and defence, consumer electronics, automotive & robotics.
The major factors that are boosting the neuromorphic computing market include growing demand for artificial intelligence & machine learning, and increasing demand for automation, non-linear controls, robotics, image processing and language processing using artificial intelligence. Furthermore growing adoption for mobile and cloud-based computer technology is propelling the neuromorphic computing market.
The report covers Porter’s Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level.
Additionally, these tools also give inclusive assessment of each application/product segment in the global market of neuromorphic computing.
The entire neuromorphic computing market has been sub-categorized into application and end-use. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.
- Signal Processing
- Image Processing
- Data Processing
- Object Detection
- Consumer Electronics
- Military &Defense
This section covers regional segmentation which accentuates on current and future demand for neuromorphic computing market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand for individual application segment across all the prominent regions.
Global Neuromorphic Computing Market Share by Region (Representative Graph)
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the neuromorphic computing market include IBM Corporation, Hewlett Packard, Samsung Electronics Co. Ltd., Intel Corporation, Qualcomm Inc., Brain Corporation, General Vision Inc., HRL Laboratories, Vicarious, CEA-Leti, Knowm Inc., Numenta. This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
This market research report has been produced by gathering information on the basis of primary and secondary research. Secondary research has been done by using various sources which include (but not limited to) Company Websites, Paid Data Sources, Technical Journals, Financial Reports, SEC Filings, and other different industry publications.
If specific information is required which is not currently within the scope of the report, it can be provided as a part of customization.