Neural Processor Market : Size, Share, Growth, Analysis, Key Players, Revenue, | Valuates Reports

Neural Processor Market Size
The global Neural Processor market was valued at US$ 367 million in 2023 and is anticipated to reach US$ 487.2 million by 2030, witnessing a CAGR of 4.6% during the forecast period 2024-2030.

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Neural Processor Market
A neural net processor is a CPU that takes the modeled workings of how a human brain operates onto a single chip.
The increasing demand for AI and ML applications across various industries, such as healthcare, automotive, finance, and robotics, fuels the growth of the neural processor market. Neural processors provide the computational power required for efficient AI and ML computations, enabling faster and more accurate analysis of large datasets. With the rise of IoT devices and the requirement for real-time processing and analysis at the network edge, there is a need for high-performance neural processors that can execute AI algorithms on-device. This allows for faster response times, reduced latency, and improved privacy and security, driving the demand for neural processors. Neural processors are designed to deliver high computational performance while minimizing power consumption. As energy efficiency becomes a crucial factor in the design of AI systems, neural processors gain prominence as they enable efficient processing, thereby reducing power consumption and enhancing battery life in devices. The development of new neural network architectures, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), along with deep learning algorithms, has increased the demand for specialized neural processors. These processors are optimized to handle the complex computations and parallel processing required by deep learning models. The growth of autonomous vehicles and robotics applications requires advanced neural processors to handle real-time sensor data processing, object recognition, and decision-making tasks. Neural processors provide the computational capabilities necessary for these complex applications, driving their adoption in the automotive and robotics industries. The proliferation of cloud computing and data centers that require high-performance AI processing capabilities fuels the demand for neural processors. These processors enable efficient and accelerated AI model training and inference, facilitating the deployment of AI applications in the cloud environment. Major technology companies and startups are investing heavily in AI hardware development, including neural processors, to support the growing demand for AI applications. These investments drive innovation, drive down the cost of neural processors, and contribute to the market growth.
This report aims to provide a comprehensive presentation of the global market for Neural Processor, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Neural Processor.
Report Scope
The Neural Processor market size, estimations, and forecasts are provided in terms of output/shipments (K Units) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Neural Processor market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Neural Processor manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

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Segment by Type
• Fraud Detection
• Hardware Diagnostics
• Financial Forecasting
• lmage Optimization
• Others

Segment by Application

• Large Enterprises
• SMEs

By Company

BrainChip Holdings Ltd., HP Enterprise, Samsung Electronics Ltd, HRLLaboratories,LLC, General Vision Inc, Aspinity, Inc., BrainCo, Inc.

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This release was published on openPR.