Self-Learning Neuromorphic Chip Market Future Trends 2017 and Top Leaders: IBM, Qualcomm, HRL Laboratories, General Vision, Hewlett-Packard, Samsung, Intel

Market Research Future published a research report on “Self-Learning Neuromorphic Chip Market Research Report- Global Forecast 2023” – Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2023.

Market Highlights

The regional wise segmentation of self-learning neuromorphic chip market consists of North America, Europe, Asia-Pacific and Rest of the World. North America is one of the most competitive markets across the globe with various regional players and a few large international players in self-learning neuromorphic chip market. Europe region is growing with a slow pace in hardware market. Emerging economies from countries such as Germany, UK, France, Russia, Italy, Benelux and Spain is driving self-learning neuromorphic chip market. Moreover, Asia-Pacific is also expected to have potential growth in the forecast period due to increasing investment of major players in self-learning neuromorphic chip market.

The Self-Learning Neuromorphic Chip Market is expected to grow at approximately USD 2 Billion by 2023, at 14% of CAGR between 2017 and 2023.

Taste the market data and market information presented through more than 30 market data tables and figures spread over 100 numbers of pages of the project report. Avail the in-depth table of content TOC & market synopsis on “The Self-Learning Neuromorphic Chip Market Research Report -Forecast to 2023”.

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Key Players:

The prominent players in the Self-Learning Neuromorphic Chip Market are – IBM (U.S.), Qualcomm (U.S.), HRL Laboratories (U.S.), General Vision (U.S.), Numenta (U.S.), Hewlett-Packard (U.S.), Samsung Group (South Korea), Intel Corporation (U.S.), Applied Brain Research Inc. (U.S.), Brainchip Holdings Ltd. (U.S.) and others.

Market Research Analysis:

Regional analysis for self-learning neuromorphic chip market is studied in different geographic regions such as North America, Europe, Asia-Pacific and Rest of World. North America region is the prominent player in the self-learning neuromorphic chip market due to advanced technological implementation in hardware system. Owing to the presence of major market players, large market of image recognition and implementation of self-learning neuromorphic chip in numerous application such as wearables, consumer electronics, medical, aerospace and others is driving the market. European region is growing with a slow pace in the self-learning neuromorphic chip market. Asia-Pacific region is expected to be fastest growing region in the self-learning neuromorphic chip market owing to advanced infrastructure development from countries such as China and India that is boosting the market growth. Increasing urbanization, business expansion across and industrial developments is driving the growth of self-learning neuromorphic chip market in the region.

Self-Learning Neuromorphic Chip Market Segmentation

The self-learning neuromorphic chip market has been segmented on the basis of application and vertical. By application segment the signal recognition application is expected to drive the market. The signal recognition technology can be used in commercial, healthcare, consumer electronics, automotive, aerospace and defense and industries. The advancements in image recognition technology and its application in numerous application such as portable devices, home automation, robotics and digital health is propelling the market. The chip is used in image sensor that compose of back side illumination is used in smartphones and tablet computer owing to its focus speed of 300ms or less and low lighting condition.

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Intended Audience

• Investors and consultants
• System Integrators
• Government Organizations
• Research/Consultancy firms
• Technology solution providers
• IT Solution Providers
• Original Equipment Manufacturers

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