Neural processors are a set of neurons which act as a structure having a defined input and output function. Neural net processors decrease the requirement for the brain-like computer processing from the whole network of the computers which excel in very complex applications like Artificial Intelligence, computer vision or machine learning down to one multi-cored chip. The growth of neural processors market is highly reliant on the growth of automotive and consumer electronics market globally.
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Increasing demand of adaptive learning to do the tasks based on a given data for initial experience or training in sectors like retail, consumer electronics is acting as a major growth driver for the neural processors market. Therefore, the growing need of neural processor in real time operations in case of parallel and special hardware device which are being designed and manufactured for the purpose of taking advantage of system capability is also one of the key factor anticipated to catalyze the growing demand of neural processor during the forecast period. In addition, fault tolerance using the redundant information coding and industrial process control is also anticipated to increase the demand of neural processor in the upcoming years. In turn this is also projected to affect the market of neural processors in a positive manner during the forecast period.
In spite of many driving factors, the neural processors market is expected to show a shrink and fluctuation in growth rate because of the single affine layer of the neural network without having any non-activations or non lineiarities. Introduction of non-convex or very complex types of error space due to non lineiarities are one of the few restraining factors for the global neural processors market. The growing demand for neural processors in user specific systems like information processing, entertainment and education and integration with the other intelligence technologies is going to create significant opportunity for neural processors market in the coming years. Apart from that the growth of usage of neural processors in human machine interface is also acting as an opportunity factor for the neural processors market in the forecast period.
For the purpose of doing in depth analysis, the neural processors market has been segmented on the basis of type, component, end user and geography. Based on the type, the market has been segmented into seven segments they are multilayer perceptron, recurrent neural network, recursive neural network, long-short term memory, convolutional neural network, sequence-to-sequence model and shallow neural network. Based on the component the market has been segmented into three categories those are hardware, software and services. Various types of end users of neural processors include automotive, consumer electronics, healthcare, industrial automation, aerospace & defense and others. Moreover, this report also provide cross functional analysis of all the above mentioned segment across different regions such as Europe, North America, Asia Pacific, Middle East and Africa and Latin America.
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By type, the convolutional neural network is expected to capture largest market share in the forecast period. Rapid growth in the adoption of CPU and GPU in convolutional neural network to tackle the huge amount of vector operations and matrix in deep learning in driverless cars and consumer electronics industry makes it the most appropriate choice for various end user applications. Geographically, the global neural processors market is mainly driven by Asia Pacific region. Growing demand of neural processing in artificial intelligence and machine learning is driving the market of Asia Pacific region. The U.S. has got the largest market share in North America because of higher implementation of neural processing in image recognition, speech recognition and natural language processing.
Some of the leading players operating in the neural processors market includes NVIDIA Corporation, Intel Corporation, IBM Corporation, Qualcomm Inc., CEVA ,Inc., Google Inc., Teradeep Inc., BrainChip Holdings Limited, Graphcore Ltd ,Advanced Micro Devices, Inc., Xilinx among others.
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