The “Neuromorphic Computing Market” intelligence report, just published by USD Analytics Market, covers a micro-level study of important market niches, product offers, and sales channels. to determine market size, potential, growth trends, and competitive environment, the Neuromorphic Computing Market provides dynamic views. Both primary and secondary sources of data were used to generate the research, which has both qualitative and quantitative depth. Several of the major figures the study featured IBM Corporation (United States), Hewlett-Packard (United States), Samsung Electronics Co. Ltd. (South Korea), Intel Corporation (United States), Qualcomm Inc.(United States), Brain Corporation (United States), General Vision Inc. (United States), HRL Laboratories, LLC (United States), CEA-Leti (France)
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Neuromorphic Computing Market is estimated to increase at a growth rate of 95.8% CAGR over the forecast period from 2024 to 2030.
An Overview of the Neuromorphic Computing Market
The Neuromorphic Computing is a platform that uses large integrationsystems which contains numerous analog systems that allows the replication of neuro-biological behaviors existing in a human’s nervous system. The Neuromorphic Computing are effective for machine learning process and brain like thought process in cognitive computing. There has been significant rise in BrainScaleS physical model machine that implements analogue electronic models of 4 Million neurons and 1 Billion synapses on 20 silicon wafers and integrated into the HBP collaboratory. Further, increasing demand from the developing countries owing to growth in the SpiNNaker machine owing to increasing application in software support for neuromorphic machines configuration, operation and data analysis. The analogue or digital activities in neuromorphic chips and innovations expected to drive the demand for neuromorphic computing over the forecasted period.
Neuromorphic Computing Market Size, Share, Trends, Growth Outlook, and Opportunities to 2030- by Type (Hardware, Software), Application (Signal Processing, Image Processing, Data Processing, Object Detection, Others), End Users (Consumer Electronics, Automotive, Healthcare, Military & Defense, Others) and significant players are the market segments.
In order to provide a thorough analysis of the industry, the report compiled data from over 22 jurisdictions or nations across Europe, North America, South America, Asia Pacific, and MEA.
Geographically, the global version of the report has the following country inclusion:
• North America [United States, Canada, and Mexico]
• Europe [Germany, the UK, France, Italy, Netherlands, Belgium, Denmark, Spain, Sweden, and the Rest of Europe]
• Asia-Pacific [China, Japan, South Korea, India, Australia, Indonesia, and Others]
• South America [Brazil, Argentina, Colombia, and the Rest of South America]
• the Middle East and Africa (South Africa, Turkey, Israel, GCC Countries, and the Rest of Africa)
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The primary goal of this study is to determine which market niches or nations that companies and investors should concentrate on in the future in order to allocate their resources and efforts toward Neuromorphic Computing that will optimize growth and profitability. The year 2024 will see notably slower growth, and given the dynamic macroeconomic and regulatory environment, major markets in North America and Western Europe will need “heavy lifting” to handle these tendencies.
In the Neuromorphic Computing industry, distribution channels are always crucial because of the “push” nature of many offerings in the sector. In an effort to strengthen their relationship with customers, companies have been refining their distribution model. As the Internet becomes more widely used and consumers start to value expediency, digital purchases are growing in popularity in Neuromorphic Computing.
Furthermore, the years considered for the study are as follows:
Historical year – 2018-2023
Base year – 2023
Forecast period** – 2024 to 2032 [** unless otherwise stated]
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Major Highlights of TOC:
Chapter 1: Overview of the Neuromorphic Computing Market Industry
1.1.1 Overview;
1.1 Neuromorphic Computing Industry
1.1.2 Key Companies’ Products
1.2 Market Segment by Neuromorphic Computing
1.2.1 Industry Chain
1.2.2 Customer Behavior & Distribution Routes
Chapter Two: Demand for Neuromorphic Computing Worldwide
2.1 Overview of the Segment
2.2 Neuromorphic Computing Market Size (2018-2023) by Application/End Users
2.3 Application/End User Forecast for the Neuromorphic Computing Market (2024E-2032)
Chapter 3: Type-wise Neuromorphic Computing Market
3.1 According to Type
3.2 Market Size for Neuromorphic Computing by Type, 2018-2023
3.3 Market Forecast for Neuromorphic Computing by Type (2024E-2030)
Chapter Four: Neuromorphic Computing Market: by Region/Country
4.1 Neuromorphic Computing Market by Regions
4.2 Neuromorphic Computing Market Revenue & Share by Region
4.3 North America
4.4 Europe
4.5 the Asia Pacific
4.6 South America
4.7 the Middle East & Africa
Player Analysis in Chapter Five
5.1 Players’ Market Share Analysis (2023)
5.2 Regional Market Concentration Rates
5.3 Overviews of Companies
……….continued
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