Market Scenario
IBM a noticeable player in neuromorphic chip market has planned a cerebrum like neuromorphic chip. The chip capacities better at picture acknowledgment, it can precisely arrange information significantly more effectively, according to an energy point of view as contrast with customary processor designs. The chip can be utilized in new applications like versatile figuring, IoT, advanced mechanics, independent vehicles, and HPC. Qualcomm a key and up-coming player in neuromorphic chip market. It has planned a Zeroth neuromorphic chip program. The organization centers around joining scientists this year to test its most recent innovation. HRL Laboratories, LLC, declared that it will keep on creating imaginative gadgets items and arrangements that recreate the mental capacities of organic knowledge in the Defense Advanced Research Projects Agency's (DARPA) Systems of Neuromorphic Adaptive Plastic Scalable Electronics, or SyNAPSE program. The organization has additionally shared their perspectives on up-coming neuromorphic innovation. It expressed that analysts in the organization created mind like microcircuitry in equipment and furthermore makes extremely low-power neuron CMOS circuits, that turned into the establishment for enormous scope neuromorphic circuits.
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North America region is dominating the Self-Learning Neuromorphic Chip market with the largest market revenue. 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. Asia-Pacific region is expected to have fastest growth in the market due to the growing crime rate and increasing infrastructure development.
By application segment the signal recognition is expected to drive the market. The application segment consists of signal recognition, image recognition and data mining. 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.
By vertical segment medical, automotive & transportation accounts for high market share. The major growth driver of self-learning neuromorphic chip market is artificial intelligence and machine learning technology is one of the significant factors aiding the market. However some factors such as lack of knowledge, complexity in designing chip and algorithm related to it are some of the important restraints that may hinder the market.
The self-learning neuromorphic chip market is expected to grow at approximately USD 2 Billion by 2023, at 27% of CAGR between 2017 and 2023.
Segments:
Self-Learning Neuromorphic Chip market is segmented on the basis of application and vertical.
Self-Learning Neuromorphic Chip Market by Application:
- Image Recognition
- Signal Recognition
- Data Mining
Self-Learning Neuromorphic Chip Market by Vertical:
- Healthcare
- Power & Energy
- Automotive
- Media & Entertainment
- Aerospace & Defense
- Smartphones
- Consumer Electronics
- Others
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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
Key Players:
The prominent players in the Global 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.
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