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The increasing use of intelligent sensors in autonomous vehicles and connected vehicle infrastructures is driving the growth of the neuromorphic computing market.
HYDERABAD, TELANGANA, INDIA, Oct. 25, 2022 /EINPresswire.com/ — IndustryARC, in its latest report, predicts that the neuromorphic computing market size is expected to reach US$5.1 billion by 2027, at a CAGR of 18.5 % in 2022- 2027. The market growth is attributed to the growing preference for artificial neural systems in chatbots, nonlinear controls and robotics, the increasing demand for artificial intelligence and cloud computing applications in numerous industries, the increased interest in the use of spiking neural networks and so on. North America dominated the global neuromorphic computing market with a share of 37% in 2021, reflecting the increasing use of artificial neural systems for speech processing detection, government investment in the development of graphics processing units and neuromorphic chips, the emergence of spiked neural networks, and others is due to . The report offers a complete analysis of the market, its main segments, growth factors, trends, drivers and challengers, key players and more.
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The central theses:
This IndustryARC report on Neuromorphic Computing Market highlights the following areas:
• The edge computing segment is projected to be the fastest growing in the global neuromorphic computing market during the forecast period 2022-202, driven by the increasing implementation of computationally intensive applications with AI, IoT and machine learning capabilities, as well as the increasing integration of edge computing applications is due & platforms and so on.
• Neuromorphic computing for processing applications is projected to grow at the highest CAGR in 2022-2027, driven by increasing use of efficient processing applications for real-time surveillance, increasing use of drones and smart cameras for surveillance systems, and so on.
• North America dominated the global neuromorphic computing market in 2021, driven by the increasing use of artificial neural systems for speech processing detection, government investment in the development of graphics processing units and neuromorphic chips, the emergence of spiking neural networks, and so on.
• Increasing adoption of intelligent sensors in autonomous vehicles and connected vehicle infrastructures, along with technological advances in data processing leveraging AI or ML algorithms to facilitate high efficiency are analyzed to significantly drive the market growth of Neuromorphic Computing Market during the forecast period 2022-2027 to advance
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Segment Analysis:
• The edge computing segment is projected to be the fastest growing in the global neuromorphic computing market at a CAGR of 19.4% during the forecast period 2022-202, driven by the increasing implementation of compute-intensive applications with AI, IoT and machine learning capabilities integration of edge computing applications and platforms into existing cloud computing architectures and so on.
• Neuromorphic computing for image processing applications is projected to grow at the highest CAGR of 20.5% during 2022-2027, driven by increasing security concerns in different parts of the world, increasing use of efficient processing applications for real-time surveillance, and increasing use of drones & smart cameras for surveillance systems and so forth.
• North America dominated the global neuromorphic computing market with a 37% share in 2021, driven by the increasing use of artificial neural systems for speech processing recognition, government investment in the development of graphics processing units and neuromorphic chips, and the emergence of spiked neural networks is etc.
Competitive landscape:
The Top 5 Players in Neuromorphic Computing Industry are:
1. IBM Corporation
2. Intel Corporation
3. Brainchip Holdings Limited
4. Qualcomm Inc.
5. Hewlett-Packard Enterprise
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