Neuromorphic Chip Market - Increasing Adoption of Automation to Expand Growth Opportunities for Neuromorphic Chip Market
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As per the Transparency Market Research, the neuromorphic chips market is projected to expand at a healthy CAGR of 19.1% during the forecast period between 2015 and 2023. Thus, rising at this growth rate is has been estimated that the valuation of the market will reach US$1.801 bn by the end of 2023.
Application of neuromorphic chip is seen in various sectors in which the defense and aerospace sector is leading due to the intensive integration of neuromorphic chip in this sector. In addition, to increase the power of the internet of Things these chips play an important role, which in turn benefits the market growth. On the regional front, North America is leading the market and is projected to continue its dominance in the forthcoming years. The region is leading as it encourages technological advancements in terms of product innovation.
Increasing Adoption of Automation to Expand Growth Opportunities for Neuromorphic Chip Market
The growth of the neuromorphic chips market is due to its rising application in various sectors such as defense and aerospace, Internet of things, and many others. The rising automation in various sectors is also opening new opportunities for the growth of this market. In addition to that, optimum usage of memory, higher speed, and less power consumption are other growth factors asserting market growth. Another growth factor is the increasing demand for brain-like computing across various industry verticals, which is likely to expand the demand for neuromorphic chips in the near future.
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Lack of Investments to Limit Growth of Neuromorphic Chip Market
Despite the growing application of neuromorphic chips, there are certain restraining factors that might hamper the growth of this market. Limited investment in the industry and lack of focus in research and development activities are factors that are likely to obstruct the market from growing at its full potential. The design of these chips is complex due to software complexity and complex algorithms in the neural processing units, thus, impeding the market growth. Moreover, one of the big challenges is the limited capacity of memory, which can be incorporated in these chips. However, with the growing technological advancements, these complexities are expected to reduce in the coming years and assist the market to grow at its full potential.
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