Neuromorphic Computing Market 2020
Summary: –
Neuromorphic computing is the third generation of artificial intelligence; it is an inventory algorithm designed to pretend the human brain’s interactions with the world. The technology blends concepts of computer science, VLSI, physics, mathematics, and biology. It provides many essential features over traditional approaches such as energy efficiency, fast execution and ability to grasp new techniques, healthiness against local features. The technology advancements in AI and increasing popularity
The global market of Neuromorphic Computing is evaluated to witness a substantial growth of USD 648.40 Million by 2025 growing at a CAGR of 49.92% during the forecast period. In today’s generation, the sophisticated standard of living has reduced the use of traditional chips due to emerging AI-based applications and increasing the rate of IoT devices. The current market of neuromorphic computing is at the sprout stage and is expected to obtain tremendous growth over the next few years. The prominent market players from the developed countries have identified the potential of technology and are investing heavily to offer advanced computing capabilities and lower the power consumption with the help of neuromorphic chips. The global market is been driven due to the increasing demand for emerging technologies like AI and the declining processing power of chipsets.
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Major Key Players of Neuromorphic Computing Industry:
The Key Players of Global Neuromorphic Computing Market are IBM Corporation (US), Intel Corporation (US), HRL Laboratories (US), Qualcomm Incorporated (US), General Vision(US), Vicarious (US), Applied Brain Research (Canada), SAMSUNG (South Korea), BrainChip Holdings Ltd (Australia), Hewlett Packard Development LP (US), Numenta(US). Some startups such as Aspinity Inc (US), aiCTX AG (Switzerland), and invitation AG (Switzerland), are also offering neuromorphic hardware processors that intended to enhance AI-based and neuromorphic computing applications.
The report elucidates the latest developments as well as the key technology-based advancements across the global Neuromorphic Computingmarket. The market research also covers the impact that these advancements can have in the near future, with primary focus on the growth prospects of the industry. The focus is also on the market status across the globe and the entryways along with potential headways within the global Neuromorphic Computingmarket. Additionally, the report’s objective is to highlight the present price margins coupled with the potential bottlenecks that the leading manufacturers might have to face during the evaluation period. The constantly evolving market dynamics are tracked by our market experts. The latest and the future market status are studied in the report, with the base year in the forecast period taken as 2020, and the ending year taken as 2025.
Growth Drivers & Challenges of Neuromorphic Computing Market 2020
In addition to the thorough review of the key dynamics that influence the Neuromorphic Computingmarket, the report also outlines the global market size, pricing history as well as the volume trends that are presumed during the conjectured period. The notable challenges, growth drivers and opportunities are covered, for better understanding of the complete industry.
Regional Insight of Neuromorphic Computing Industry
The key threats, opportunities, inadequacies along with strengths of the worldwide Neuromorphic Computingmarket are researched and presented in the report, taking in account certain regions around the world. Many of the renowned companies in the market are recognized in the report, who are diligently striving to boost their presence across these regions, with adoption of strategies like partnerships and agreements and more. The regional insight into the Neuromorphic Computingmarket covers the latest valuation and the future prospects. The regional markets that are generally studied in the research are Europe, the Middle East & Africa, Latin America, Asia Pacific and North America. The anticipated and the current trends along with the market size in these regions are provided in this section.
Method of Research of Neuromorphic Computing Market Report
The Neuromorphic Computingmarket has been carefully evaluated in the report, which offers hands-on information. To extensively cover the market and its statistics, analysts have employed the Porter’s Five Force Model’s parameters, which helps put together valuable inputs and the prevalent norms and names of the leading industry contenders as well as their chain network across the world. The parent industry has also been covered, in addition to the governing factors, macro-economic aspects and growth prospects influencing the market, in terms of the market segmentation. The market research has been conducted using methods like primary and secondary that help procure an enhanced understanding while considering the opportunities, threats, weaknesses and strengths of the worldwide Neuromorphic Computingmarket.
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Table of Contents – Major Key Points
1 Executive Summary
2 Market Introduction
3 Research Methodology
4 Market Dynamics
5 Market Factor Analysis
6 Global Neuromorphic Computing Market, By Offering
7 Global Neuromorphic Computing Market, By Application
8 Global Neuromorphic Computing Market, By End-User
9 Global Neuromorphic Computing Market, By Region
10 Competitive Landscape
Continued…
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