Global Neuromorphic Computing Market Overview:
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 humans 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.
|Unit||Value (USD Million)|
|Customization Scope||Avail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility|
- Increase Demand of Artificial Intelligence in Language Processing and Translation.
- Rise in Demand of Neuroscience Computing In Satellite Imagery and Aerial Surveillance.
- High Complexity Associated With Designing Of Chips.
- Complex Algorithms and Software Compatibility Issues Hampers the Growth of Neuroscience Computing Market.
- Growing Demand of Neuroscience Computing In the Field of Processing Audios and Acoustics Signals.
- Upsurge Demand of Neuroscience Computing in Cognitive Robots and Brain Based Robots
- Lack of Research and Development in the Industry are Anticipated the Challenge the Market.
- Adverse Impact Due To Shortage of Investments.
In neuromorphic computing market, it has been observed that most of the companies are upgrading or introducing different artificial intelligence (AI) and machine learning technology that provides more inductive logic programming, decision tree learning and widespread techniques that is used in artificial neutral networks and ANN.
Some of the key players profiled in the report are 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) and CEA-Leti (France). Additionally, following companies can also be profiled that are part of our coverage like Applied Brain Research Inc. (United States), Knowm Inc. (Mexico) and Numenta (United States). Analyst at AMA Research see United States Players to retain maximum share of Global Neuromorphic Computing market by 2027. Considering Market by End Users, the sub-segment i.e. Consumer Electronics will boost the Neuromorphic Computing market.
In December 2018, Intel introduced an neuromorphic research which is beneficial in providing future improvement of neuromorphic architecture, softwares & systems. It also strengthens its applications in different fields such as advancements in robotics, smart city infrastructure and other applications.
What Can be Explored with the Neuromorphic Computing Market Study
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global Neuromorphic Computing Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in Neuromorphic Computing
Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Neuromorphic Computing market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Neuromorphic Computing market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Neuromorphic computing Manufacturers, Neuromorphic computing Traders, End-Use Market Participants of Different Segments of Neuromorphic computing, Government and Research Organizations, R&D Institutions and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.