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Neural Processor Market Size, Share and COVID Impact Analysis, By Application (Fraud Detection, Hardware Diagnostics, Financial Forecasting, Image Optimization, and Others), By End-Users (BFSI, Healthcare, Retail, Defense and Aerospace, Media, and Others), and Regional Forecast, 2024-2032

Region : Global | Report ID: FBI108102 | Status : Ongoing

 

KEY MARKET INSIGHTS

A neural processor, also known as a Neural Processing Unit (NPU), is a specialized microprocessor designed specifically to perform artificial neural network (ANN) computations. Artificial neural networks are computational models that mimic the structure and function of biological neural networks, which are the networks of neurons in the brain that process and transmit information. A neural processor typically consists of many processing cores, or processing elements (PEs), interconnected in a highly parallel architecture. Each processing element is designed to perform a simple mathematical operation, such as addition or multiplication, and can communicate with other processing elements in the network. Neural processors are optimized for deep learning applications, which involve training and running large-scale neural networks to recognize patterns in data. They can perform computations at high speeds and with high energy efficiency, making them ideal for applications such as image and speech recognition, natural language processing, and autonomous vehicles. The increasing use of machine learning and deep learning in the various industry verticals is expected to boost the neural processor market globally.


Impact of COVID-19 on the Neural Processer Market:


One major impact of the pandemic on neural processing has been a shift towards remote work and collaboration. Many researchers have had to adapt to working from home and collaborating virtually, which has led to changes in research and development. Remote collaboration tools have become more important than ever, and researchers have had to find new ways to share data, models, and code securely and efficiently. Another impact of the pandemic has been changed in funding and resource allocation. With the economic uncertainty caused by the pandemic, many countries and companies have had to re-evaluate their priorities and allocate resources accordingly. This factor has led to some shifts in research focus, emphasizing areas directly related to the pandemic, such as epidemiology and vaccine development and neural processor playing a critical role in the rapid manufacturing and distribution of vaccines.

Furthermore, the pandemic has highlighted the importance of neural processing in addressing real-world problems. With the emergence of COVID-19, researchers have used neural processing techniques to model the spread of the virus, analyze medical data, and develop treatments and vaccines. This has increased demand and investment in the neural processor market globally.

Key Insights:


The report will cover the following key insights:


  • Recent industry trends and developments.

  • Competitive landscape & strategic key players.

  • Complete background analysis, including an assessment of the global Neural Processor market.

  • Complete Analysis of Segments

  • Impact of COVID-19 on The Global Neural Processors market


Regional Analysis:


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  • North America region is dominating the global neural processor market. The increasing use of neural processors in the healthcare sector which is expected to propel the market in the North American region.

  • The Europe market is estimated to follow the growth trends of North America during the forecast period. Furthermore, increasing the use of neural processes in the automobile and manufacturing sector will drive the market in the region.

  • However, Asia Pacific is expected to show the highest CAGR during the forecast period. The growing adoption of the internet of things and artificial intelligence in Asian countries increases the demand for neural processes in the region. This factor will be responsible for the growth of the market globally.

  • Furthermore, the market in the Middle East & Africa and South America region are moderately growing. However, countries such as U.A.E, South Africa, Brazil, and Saudi Arabia are taking the initiative in implementing automatic fraud detection and biometric recognition system, increasing the demand for neural processors in the region, which is expected to boost the market in the region.


Analysis by End Users.


Neural processors are becoming popular in various applications such as fraud detection, financial forecasting and image detection. Neural processors have been widely used in various applications, including fraud detection and image optimization. Neural processors analyze patterns in large datasets to identify suspicious transactions or behaviour. Neural networks, such as image finishing or super-resolution, are also used in image optimization. Auto-encoders are neural networks trained to reconstruct input data, and they can be used to denoise images by reconstructing the image with the noise removed. Autoencoders can also be used for image super-resolution by training the network to reconstruct a high-resolution image from a low-resolution input, driving market growth.

Key Players Covered:


Intel Corporation (U.S.), IBM Corporation (U.S.), Google Inc. (U.S.), Qualcomm Inc. (U.S.), CEVA Inc. (U.S.), NVIDIA Corporation (U.S.), Teradeep Inc. (U.S.), BrainChip Holdings Ltd (Australia), Graphcore (UK), and Advanced Micro Devices (AMD) Inc. (U.S.)

Segmentation:

















 


                 By Application


By End User


By Geography



  • Fraud Detection

  • Hardware Diagnostics

  • Financial Forecasting

  • Image Optimization



  • Others




  • BFSI

  • Healthcare

  • Retail

  • Defence and Aerospace

  • Media

  • Logistics

  • Others




  • North America (U.S., Canada, and Mexico)

  • Europe (France, Germany, U.K., Italy, Spain, Benelux, Russia, Nordics, and Rest of Europe)

  • Asia Pacific (India, China, India, Japan, ASEAN, Oceania, South Korea, and the Rest of Asia Pacific)

  • Middle East and Africa (Israel, GCC, Turkey, South Africa, North Africa, and Rest of MEA)

  • South America ( Argentina, Brazil, and Rest of South America)



Key Industry Developments:



  • In October 2021_Syntiant technologies, a global provider of artificial intelligence-based technologies, launched its new product, Syntiant NDP200 Neural Decision Processor (NDP). This neural processor can simultaneously run multiple applications with minimal power consumption. This processer is frequently used in various AI vision features such as person detection, motion tracking and object detection.   

  • In April 2022_ Synopsys Inc., a leading semiconductor and electronics solutions provider, launched its new product, Synopsys High-Performance Neural Processor IP. This neural processing unit (NPU) IP and toolchain product provide high-performance AI-based image detection and support for various neural technologies.

  • In September 2021_Intel Corporation global provider of computational processors, it launched its new product, the neuromorphic processor, Loihi. This newly launched processor can run and execute high-end and complex algorithms.


  • Ongoing
  • 2023
  • 2019-2022

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