Self-Learning Neuromorphic Chip Market

1. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 Self-Learning Neuromorphic Chip Market Market Report-Forecast 2023 P a g e | 1 Copyright © 2017 Market Research Future.

2. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 VIEW REPORTS SAMPLE REPORTS P a g e | 2 Copyright © 2017 Market Research Future.

3. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 Summary IBM a prominent player in neuromorphic chip market has designed a brain like neuromorphic chip. The chip functions better at image recognition, it is able to accurately classify data much more efficiently, from an energy perspective as compare to traditional processor architectures. The chip can be used in new applications such as mobile computing, IoT, robotics, autonomous cars, and HPC. Qualcomm a key and up-coming player in neuromorphic chip market. It has designed a Zeroth neuromorphic chip program. The company focuses on signing up researchers this year to test its latest technology. HRL Laboratories, LLC, announced that it will continue to develop innovative electronics products and solutions that simulate the cognitive capabilities of biological intelligence in the Defense Advanced Research Projects Agency’s (DARPA) Systems of Neuromorphic Adaptive Plastic Scalable Electronics, or SyNAPSE program. The company has also shared their views on up-coming neuromorphic technology. It stated that researchers in the company developed brain- like microcircuitry in hardware and also manufactures very low-power neuron CMOS circuits, that became the foundation for large-scale neuromorphic circuits. P a g e | 3 Copyright © 2017 Market Research Future.

4. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 Major Key Players: 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.). P a g e | 4 Copyright © 2017 Market Research Future.

5. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 Segmentation: 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 P a g e | 5 Copyright © 2017 Market Research Future.

6. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 Regional 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. P a g e | 6 Copyright © 2017 Market Research Future.

7. Self-Learning Neuromorphic Chip Market Report- Forecast 2023 (Germany) are focusing on the digital utilities transformation. P a g e | 7 Copyright © 2017 Market Research Future.