United States Neural Processor Market Set to Revolutionize AI Performance with Unprecedented Growth and Innovation 2025 | Top key players - Google Inc., Intel corporation, Qualcomm Technologies, Inc.

Market Size and Growth:

The Global Neural Processor Market size reached US$ 224.3 Million in 2023 and is expected to reach US$ 882.7 Million by 2031, growing with a CAGR of 18.8% during the forecast period 2024-2031.

The Neural Processor Market report by DataM Intelligence provides insights into the latest trends and developments in the market. This report identifies the key growth opportunities in the market and provides recommendations for market participants to capitalize on these opportunities. Overall, the Neural Processor market report is an essential resource for market participants who are looking to gain a comprehensive understanding of the market and identify opportunities for growth.

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The Neural Processor Market refers to the industry focused on specialized processing units designed to accelerate artificial intelligence (AI) and machine learning tasks. These processors, also called neural processing units (NPUs), optimize deep learning, natural language processing, and computer vision applications. They enhance performance, energy efficiency, and real-time analytics across sectors like consumer electronics, automotive, healthcare, and industrial automation.

Recent Key Developments of United States (U.S):

AMD's AI Platform Vision: In June 2025, AMD announced its integrated AI platform vision and introduced the AMD Instinct MI350 Series accelerators, which deliver a significant increase in AI compute and inferencing performance. The company also detailed its roadmap for its next-generation AI rack, "Helios," built on the upcoming MI400 Series GPUs.

Microsoft's AI-Driven Growth: Microsoft's Q3 2025 earnings report showed strong growth, with its Intelligent Cloud and AI offerings being a primary catalyst. This indicates a robust demand for the company's cloud-based AI services, which rely heavily on underlying neural processors.

Qualcomm's Strategic Acquisition: In June 2025, Qualcomm announced its acquisition of Alphawave, a UK-based high-speed chip interconnect IP company. This deal is intended to strengthen Qualcomm's data center offerings and enhance its AI compute capabilities.

NVIDIA and Intel Collaboration: In September 2025, NVIDIA revealed a $5 billion investment in Intel to collaborate on developing AI-optimized memory solutions. The partnership aims to integrate NVIDIA's GPUs with Intel's CPUs for advanced AI data centers and consumer PCs.

Micron's Domestic Investment: In June 2025, Micron Technology announced a $200 billion investment to expand domestic memory manufacturing and R&D, a move aimed at bolstering the U.S. semiconductor supply chain and supporting the growing demand for memory solutions in AI applications.

Key Players:

Google Inc.
Intel corporation
Qualcomm Technologies, Inc.
Ceva, Inc.
BrainChip, Inc.
NVIDIA Corporation
Graphcore
Hewlett Packard Enterprise Development LP
HRL Laboratories, LLC
Ceva, Inc.

This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

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Market Segmentation:

By Application: Fraud Detection, Hardware Diagnostics, Financial Forecasting, Image Optimization, Others.

By End-User: BFSI, Healthcare, Retail, Defense Agencies, Logistics, Others.

Regional Analysis:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Neural Processor market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Neural Processor Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Neural Processor market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Neural Processor Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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People Also Ask:

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