Neuromorphic Computing Market

Neuromorphic Computing Market Size, Share, Growth Analysis, By Offering(Hardware, Processor), By Deployment(Edge Computing, Cloud Computing), By Application(Image Recognition, Signal Recognition), By Industry Vertical(Automotive, IT & Telecom), By Region(North America, U.S.) - Industry Forecast 2024-2031


Report ID: UCMIG45F2027 | Region: Global | Published Date: Upcoming |
Pages: 165 | Tables: 55 | Figures: 60

Neuromorphic Computing Market Insights

Market Overview:

The growing demand for high-performance Integrated Circuits is a major driver of the Global Neuromorphic Computing market. By processing and storing data on the same chip, neuromorphic chips can significantly reduce the transportation times required by a traditional CPU. The ability to integrate processing and storage significantly reduces the time that a normal CPU would have required for transporting data between a block of memory and the processor that performs processing on these memories. As a result, the market is expanding due to the need for better performing ICs for efficient computing. A wide range of industries require the use of Artificial Intelligence and Machine Learning to automate their operations in order to improve the efficiency and quality of their end product. AI has numerous applications in industries such as medicine, media, telecommunications, automobiles, and food and beverages, to name a few. These industries frequently face problems that SNN can efficiently address due to its ability to make flexible and agile decisions while taking not only past experiences but also the context of the situation into account. Applications such as fraud detection, credit scoring, speech recognition, self-driving cars, image classification, and language translation can all be improved by combining AI and ML.

Neuromorphic Computing Market, Forecast & Y-O-Y Growth Rate, 2020 - 2028
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This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.

Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Systems Software by segment aggregation, the contribution of the Systems Software in Software & Services and vendor share.

To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.

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FAQs

The global market for Neuromorphic Computing was estimated to be valued at US$ XX Mn in 2021.

The global Neuromorphic Computing Market is estimated to grow at a CAGR of XX% by 2028.

The global Neuromorphic Computing Market is segmented on the basis of Offering, Deployment, Application, Industry Vertical, Region.

Based on region, the global Neuromorphic Computing Market is segmented into North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

The key players operating in the global Neuromorphic Computing Market are IBM Corporation, Intel Corporation, BrainChip Holdings Ltd., Qualcomm Incorporated, Hewlett Packard Development LP, Samsung Electronics Ltd., General Vision Inc., Applied Brain Research Inc., Numenta, Vicarious.

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Neuromorphic Computing Market

Product ID: UCMIG45F2027

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