The report on the global neural processor market by Allied Market Research offers impactful insights, detailed statistics, and an in-depth market analysis from 2022 to 2031. It includes top market segments, value chain analysis, and the overall market estimations, highlighting top investment opportunities and successful strategies. Besides, it provides a detailed evaluation of geographical insights and presents a complete assessment of the competitive landscape, guiding businesses in making well-planned decisions to achieve their long-term goals. As per the report, the industry is predicted to exhibit a remarkable CAGR of 18.1% and reach a value of $849.8 million by 2031. The market was estimated at $162.1 million in 2021.
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A Strategic Assessment of Industry Players
The research report provides a comprehensive analysis of the top players in the global neural processor market. By thorough evaluation, AMR aims to provide clear insights into the competitive landscape of the top players in the market, presenting details of their key profiles, business performance, product portfolios, geographic expansion, and modern strategies. In addition, it offers complete information about the strategic actions taken by these top organizations to enhance and expand their market presence, including product developments, partnerships, and collaborations. Some notable companies mentioned in the report are:
• Halo Neuroscience
• Bitbrain Technologies
• Applied Brain Research
• BrainCo, Inc.
• HRL Laboratories, LLC
• General Vision, Inc.
• Samsung Electronics Co. Ltd.
• Aspinity, Inc.
• BrainChip, Inc.
• Hewlett Packard Enterprise Development LP
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Key Market Highlight
In April 2022, Synopsys, a global leader in electronic design automation, introduced the DesignWare ARC NPX6 and NPX6FS NPU IP cores, which provide up to 3,500 TOPS to address the increasing AI processing needs in advanced systems-on-chip. These NPUs are capable of supporting real-time neural network computations with ultra-low power consumption, making them suitable for AI applications such as computer vision, audio, and natural language processing. The architecture scales from 4K to 96K MACs, achieving more than 250 TOPS per core or up to 440 TOPS with sparsity optimizations. When used in multi-NPU clusters, their performance can reach up to 3,500 TOPS.
The MetaWare MX development toolkit offers a robust compilation environment that automatically enhances neural network models for the NPX hardware. It also supports various frameworks such as TensorFlow and PyTorch. The NPX6FS variant meets ISO 26262 ASIL D compliance for safety-critical applications, including advanced driver assistance systems. The NPX6 family caters to the needs of AI-powered markets by offering scalability and high efficiency for advanced system-on-chips.
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A Detailed Overview of Regional Analysis
This comprehensive report explores the market dynamics of the global neural processor market, focusing on revenue developments across different geographic segments. The report divides the global neural processor market into key regions, including North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. Based on regional analysis, North America held the largest market share in 2021. Europe is expected to maintain its leading position in terms of revenue during the forecast period. On the other hand, the Asia-Pacific region is projected to witness the fastest CAGR of 20.71% from 2022 to 2031.
To sum up, the Allied Market Research report provides a holistic review of the global neural processor market, offering valuable insights into market investment prospects, regional analysis, and the competitive landscape. This information is essential for businesses and stakeholders to make informed decisions, stay ahead of the competition, and take advantage of growth opportunities to expand their market presence.
Report Overview: https://www.alliedmarketresearch.com/neural-processor-market-A13155
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