Neural Processor Market Size, Share, Trends, Demand, Segments, Leading Companies and Forecast till 2031

Neural processor market is anticipated to grow at a CAGR of 17.5% during the forecast period (2024-2031). A neural processor, also known as a neural processing unit (NPU), is a specialized circuit that implements all the control and arithmetic logic required to run machine learning algorithms, typically by working with predictive models such as artificial neural networks (ANNs) or random forests (RFs). Neural processors can be designed digitally or analogously. Analog chips are more closely related to the biological properties of brain networks than digital processors. As a result, they ought to use less energy than digital neuromorphic computers, theoretically. Furthermore, they have the potential to extend the processing duration beyond the time limit, allowing the pace to be adjusted to process data faster than in real time.

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Cloud-based neural processors allow access to hardware resources based on AI via the cloud and are gaining popularity in the industry.  These processors allow users to take advantage of high-performance computing capabilities without the requirement for large upfront investments in dedicated hardware. For instance, in March 2024, Akamai Technologies, a cloud company that powers and protects life online, and Neural Magic, a developer of software that accelerates AI workloads, announced a strategic partnership to enhance deep learning capabilities on Akamai's distributed computing infrastructure. Neural Magic's technology allows deep learning models to run on cost-effective CPU-based servers rather than expensive GPU resources. The product speeds AI workloads using automated model sparsification methods, which are offered as a CPU inference engine and complement Akamai's capacity to scale, defend, and deliver edge applications. This enables the companies to deploy their capabilities across Akamai's global distributed computing infrastructure, providing customers with lower latency and higher performance for data-intensive AI applications.

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  • Market Coverage

  • Market number available for – 2025-2031

  • Base year- 2025

  • Forecast period- 2025-2031

  • Segment Covered- By Source, By Product Type, By Applications

  • Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill

  • , and others


Global Neural Processor Market Report Segment 

By Application

  • Fraud Detection

  • Hardware Diagnostics

  • Financial Forecasting

  • Image Optimization

  • Others (Disease diagnostics, Algorithm Trading)


By End-User

  • BFSI

  • Healthcare

  • Retail

  • Defense Agencies

  • Media

  • Logistics

  • Others


Global Neural Processor Market Report Segment by Region 

North America

  • United States

  • copyright


Europe

  • UK

  • Germany

  • Italy

  • Spain

  • France

  • Rest of Europe


Asia-Pacific

  • China

  • India

  • Japan

  • South Korea

  • Rest of Asia-Pacific


Rest of the World

  • Latin America

  • Middle East and Africa


The Report Covers 

  • Market value data analysis of 2023 and forecast to 2031.

  • Annualized market revenues ($ million) for each market segment.

  • Country-wise analysis of major geographical regions.

  • Key companies operating in the global neural processor market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.

  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.

  • Analysis of market-entry and market expansion strategies.

  • Competitive strategies by identifying ‘who-stands-where’ in the market.


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