뉴럴 프로세서 시장 규모, 점유율 및 동향 분석 보고서 : 용도별, 최종 사용자별, 지역별, 전망 및 예측(2024-2031년)
Global Neural Processor Market Size, Share & Trends Analysis Report By Application, By End User (Retail, Defense Agencies, Media, BFSI, Healthcare, Logistics, and Others), By Regional Outlook and Forecast, 2024 - 2031
상품코드 : 1472540
리서치사 : KBV Research
발행일 : 2024년 04월
페이지 정보 : 영문 238 Pages
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한글목차

뉴럴 프로세서 시장 규모는 예측 기간 동안 17.8%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 7억 9,820만 달러에 달할 것으로 예상됩니다.

또한, 다층적이고 정교한 신경망 아키텍처를 특징으로 하는 딥러닝 기법은 컴퓨터 비전, 자연어 처리(NLP), 자율 시스템 등 다양한 분야에서 광범위하게 구현되고 있습니다. 따라서 이러한 요인으로 인해 향후 몇 년동안 시장 수요가 증가할 것으로 예상됩니다.

그러나 뉴럴 프로세서는 특수한 AI 작업의 속도를 높이는 데는 탁월한 성능을 발휘하지만, CPU나 GPU와 같은 범용 프로세서의 범용성을 따라잡는 데는 어려움을 겪는 경우가 많습니다. 다양한 용도 간 확장성을 유지하면서 다양한 AI 워크로드를 효율적으로 처리할 수 있는 뉴럴 프로세서를 개발하는 것은 엔지니어링 측면에서 매우 큰 도전 과제입니다. 따라서 이러한 요인으로 인해 시장에서 수요가 감소할 수 있습니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요람

제3장 시장 개요

제4장 뉴럴 프로세서 시장에서 전개되고 있는 최근 전략

제5장 세계 시장 : 용도별

제6장 세계 시장 : 최종사용자별

제7장 세계 시장 : 지역별

제8장 기업 개요

제9장 뉴럴 프로세서 시장을 위한 성공 필수 조건

LSH
영문 목차

영문목차

The Global Neural Processor Market size is expected to reach $798.2 million by 2031, rising at a market growth of 17.8% CAGR during the forecast period.

Neural processors power chatbots and virtual assistants' banks and insurance companies use to handle customer inquiries, provide support, and offer personalized recommendations. Consequently, the BFSI segment would generate approximately 17.8% share of the market by 2030. By comprehending natural language and delivering pertinent responses, these systems enhance the consumer experience. Thus, these factors can assist in the growth of the segment.

Edge computing entails processing data in proximity to the point of generation, as opposed to centralized data centers. This approach reduces latency and bandwidth usage while enabling real-time data analysis and decision-making, making it crucial for applications requiring quick responses and efficient resource utilization. Thus, these factors can assist in the expansion of the market.

Additionally, Deep learning methods, distinguished by their multi-layered, sophisticated neural network architectures, have been extensively implemented in various fields, including computer vision, natural language processing (NLP), and autonomous systems. Therefore, owing to these factors, the market will witness increased demand in the coming years.

However, While neural processors exhibit superior performance in accelerating specialized AI tasks, they often struggle to match the versatility of general-purpose processors such as CPUs and GPUs. Developing neural processors that efficiently handle various AI workloads while maintaining scalability across various applications poses formidable engineering hurdles. Therefore, these factors can lead to reduced demand in the market.

By Application Analysis

Based on application, the market is segmented into fraud detection, hardware diagnostics, financial forecasting, image optimization, and others. In 2023, the financial forecasting segment garnered a 14.9% revenue share in the market. Neural networks excel at capturing intricate patterns and relationships within financial data, leading to more accurate forecasting models. As neural processors become more powerful and specialized for financial applications, they contribute to further improvements in prediction accuracy. Thus, these aspects will propel the growth of the segment.

By End User Analysis

On the basis of end user, the market is divided into BFSI, healthcare, retail, defense agencies, media, logistics, and others. The retail segment recorded a 24.21% revenue share in the market in 2023. As AI becomes more pervasive in consumer electronics, the demand for neural processors in retail products is expected to rise. Manufacturers are integrating AI capabilities into devices such as smartphones, cameras, smart speakers, and wearables, which drives the demand for efficient neural processing units (NPUs).

By Regional Analysis

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2023, the Europe segment acquired a 29.56% revenue share in the market. Europe has been actively investing in AI research and development, with countries like the UK, Germany, France, and Switzerland being prominent hubs for AI innovation. European companies and research institutions have been at the forefront of developing neural processors for various applications, including data centers, autonomous vehicles, healthcare, and consumer electronics. Hence, the segment will grow rapidly in the upcoming years.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Neural Processor Market Report Segmentation

By Application

By End User

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Recent Strategies Deployed in Neural Processor Market

Chapter 5.Global Neural Processor Market by Application

Chapter 6.Global Neural Processor Market by End User

Chapter 7.Global Neural Processor Market by Region

Chapter 8.Company Profiles

Chapter 9.Winning Imperatives of Neural Processor Market

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