시장보고서
상품코드
1484180

데이터 처리 유닛 시장 규모, 점유율, 동향 분석 리포트 : 유형별, 데이터센터 유형별, 용도별, 지역별 전망과 예측(2024-2031년)

Global Data Processing Unit Market Size, Share & Trends Analysis Report By Type (FPGA-Based, SOC-Based, and ASIC-Based), By Data Center Type (Hyperscale, Colocation, Edge and Others), By Application, By Regional Outlook and Forecast, 2024 - 2031

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 235 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

데이터 처리 유닛 시장 규모는 예측 기간 중 27.3%의 CAGR로 시장 성장하며, 2032년까지 61억 달러에 달할 것으로 예상되고 있습니다.

KBV Cardinal Matrix에 제시된 분석에 따르면 Microsoft Corporation은 2023년 1월에 데이터센터 인프라를 위한 DPU 전문 스타트업인 Fungible의 인수를 발표하며 시장을 선도하고 있습니다. 인수한다고 발표했습니다. 이번 인수는 Fungible의 DPU 기술을 사용하여 Azure 클라우드 플랫폼을 강화하려는 Microsoft의 전략의 일환이며, Broadcom, Inc. 주요 혁신가들 중 일부입니다.

시장 성장 요인

클라우드 서비스 프로바이더는 고객의 성능과 효율성을 향상시키기 위해 인프라를 최적화하는 방법을 지속적으로 모색하고 있으며, DPU는 클라우드 데이터센터 내에서 AI 추론, 데이터 분석, 네트워크 기능 등 중요한 워크로드를 가속화하기 위해 기존 CPU와 GPU에서 특정 처리 작업을 오프로드하는 데 중요한 역할을 합니다. AI 추론, 데이터 분석, 네트워크 기능 등 클라우드 데이터센터내 중요한 워크로드를 가속화합니다. 클라우드 컴퓨팅에 DPU를 도입하면 고객에게 새롭고 혁신적인 서비스를 제공할 수 있는 기회가 생깁니다. 따라서 클라우드 컴퓨팅의 채택이 확대됨에 따라 시장이 크게 확대되고 있습니다.

데이터베이스 비즈니스는 실시간 분석, 예측 분석, 머신러닝, 인공지능 등 복잡한 분석 워크로드를 처리하는 경우가 많은데, DPU는 실시간 데이터 처리 작업을 가속화하는 데 매우 중요하며, 기업이 인사이트을 추출하고, 패턴을 감지하고, 밀리초 또는 마이크로초 단위로 의사결정을 내릴 수 있도록 지원합니다. 마이크로초 단위로 의사결정을 내릴 수 있게 해줍니다. 따라서 데이터베이스 비즈니스 모델의 출현으로 시장이 크게 확대될 것으로 예상됩니다.

시장 성장 억제요인

DPU에 영향을 미치는 데이터 침해 및 보안 사건은 고객, 이해관계자 및 규제 당국의 신뢰를 훼손할 수 있으며, DPU가 처리하는 민감한 데이터를 적절히 보호하지 못하는 조직은 평판 저하 및 법적 조치에 직면하여 제품, 서비스 및 브랜드에 대한 신뢰가 손상될 수 있습니다. 수 있습니다. 사이버 범죄자들은 DPU의 취약점을 악용하여 무단 액세스를 하거나 기밀 정보를 훔치거나 중요한 업무를 방해할 수 있습니다. 따라서 데이터 프라이버시 및 보안에 대한 우려로 인해 시장 성장이 둔화될 수 있습니다.

Outlook 유형

유형에 따라 시장은 ASIC 기반, FPGA 기반, SOC 기반으로 분류되며, ASIC 기반 부문은 2023년 시장에서 20%의 매출 점유율을 차지했으며, ASIC 기반 DPU는 벤더가 특정 용도 요구사항에 맞게 하드웨어 설계를 조정할 수 있는 커스터마이징 및 최적화 기회를 제공합니다. 용도 요구사항에 맞게 하드웨어 설계를 조정할 수 있는 기회를 제공합니다. 이러한 커스터마이징을 통해 ASIC 기반 DPU는 대상 워크로드에 대해 최적의 성능, 지연 시간 및 리소스 사용률을 달성할 수 있습니다.

데이터센터 유형에 대한 전망

데이터센터 유형에 따라 시장은 코로케이션, 하이퍼스케일, 엣지, 기타로 분류됩니다. 코로케이션 부문은 2023년 시장 매출 점유율 26%를 차지했습니다. 코로케이션 시설은 다양한 수준 수요에 대응할 수 있는 확장 가능한 인프라 솔루션을 제공합니다. 이러한 시설에 DPU를 배치하면 기업은 온프레미스 하드웨어에 대한 추가 투자 없이도 데이터 처리 기능을 쉽게 확장하여 증가하는 워크로드를 처리할 수 있습니다. 이러한 확장성은 비즈니스의 성장과 민첩성을 촉진하고, 증가하는 데이터 처리 요구를 지원하는 DPU에 대한 수요를 증가시킬 수 있습니다.

용도 전망

애플리케이션을 기준으로 시장은 BFSI, IT 및 통신, 정부, 에너지 및 유틸리티, 기타로 구분되며, BFSI 부문은 2023년 시장에서 20%의 매출 점유율을 차지했으며, BFSI 부문은 거래, 고객 정보, 시장 데이터, 규제 제출 서류 등 방대한 양의 데이터를 매일 생성하고 처리합니다. DPU는 이러한 데이터 집약적인 작업을 효율적으로 처리하기 위해 필수적인 요소로, 실시간 거래 처리, 사기 탐지, 부정행위 감지, 거래 및 고객 정보, 시장 데이터, 규제 제출 등 방대한 양의 데이터를 매일 생성하고 처리합니다. 실시간 거래 처리, 사기 탐지, 리스크 분석, 컴플라이언스 보고와 같은 데이터 처리 작업을 가속화하여 금융기관이 효과적으로 업무를 관리하고 데이터베이스 의사결정을 내릴 수 있도록 지원합니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양, LAMEA 지역이 2023년 북미가 40%의 매출 점유율을 기록하며 시장을 주도하고 있으며, IoT 디바이스 증가, 저지연 처리의 필요성, 네트워크 엣지에서 생성되는 데이터의 양이 모두 북미의 엣지 컴퓨팅 성장에 기여하고 있습니다. 북미에서 엣지 컴퓨팅의 성장에 기여하고 있습니다. 북미는 AI 및 ML 기술 혁신의 중심지입니다. 북미 기업과 연구 기관들이 자율주행차, 자연어 처리, 예측 분석 등 AI 기반 구상에 지속적으로 투자함에 따라 AI 워크로드에 최적화된 DPU에 대한 수요가 증가하고 있습니다.

다양한 산업에서 고속 데이터 처리에 대한 수요가 증가함에 따라 시장 경쟁이 치열해지고 있으며, NVIDIA, Intel, AMD와 같은 주요 기업이 DPU에 집중하여 처리, 네트워크 및 보안 기능을 통합한 솔루션을 제공합니다. 스타트업과 틈새 업체들도 특정 용도을 위한 맞춤형 특수 DPU로 시장에 진입하고 있습니다. 이러한 경쟁은 혁신을 촉진하고 DPU 아키텍처, 효율성 및 확장성을 향상시켜 궁극적으로 고객에게 더 강력하고 다양한 데이터 처리 기능을 제공합니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 요약

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 촉진요인
    • 시장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품의 발매와 제품의 확대
    • 인수합병
  • 시장 점유율 분석, 2023년
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 동향
  • Porter's Five Forces 분석

제5장 세계 시장 : 유형별

  • 세계의 FPGA 기반 시장 : 지역별
  • 세계의 SOC 기반 시장 : 지역별
  • 세계의 ASIC 기반 시장 : 지역별

제6장 세계 시장 : 데이터센터 유형별

  • 세계의 하이퍼스케일 시장 : 지역별
  • 세계의 코로케이션 시장 : 지역별
  • 세계의 엣지 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제7장 세계 시장 : 용도별

  • 세계의 IT·통신 시장 : 지역별
  • 세계의 BFSI 시장 : 지역별
  • 세계의 에너지·유틸리티 시장 : 지역별
  • 세계의 정부 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제8장 세계 시장 : 지역별

  • 북미
    • 북미의 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 대만
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
    • 라틴아메리카·중동 및 아프리카의 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카

제9장 기업 개요

  • Kalray SA
  • Yisixin Technology(Shanghai) Co, Ltd.(Resnics)
  • YUSUR Technology Co, Ltd.
  • Advanced Micro Devices, Inc
  • Marvell Technology Group Ltd
  • Microsoft Corporation
  • NVIDIA Corporation
  • Broadcom, Inc
  • Intel Corporation

제10장 데이터 처리 유닛 시장의 성공 필수 조건

KSA 24.06.04

The Global Data Processing Unit Market size is expected to reach $6.1 billion by 2032, rising at a market growth of 27.3% CAGR during the forecast period.

Governments invest in smart city initiatives to create sustainable, livable, and efficient urban environments. DPUs are integral to smart city deployments, supporting traffic management, public safety, environmental monitoring, and energy optimization applications. Consequently, the government segment would acquire nearly, 11% of the total market share by 2032. By processing data from IoT sensors, surveillance cameras, and other sources, DPUs enable real-time analytics, predictive modeling, and automated decision-making, enhancing the quality of life for citizens and driving sustainable urban development.

The major strategies followed by the market participants are Acquisitions as the key developmental strategy to keep pace with the changing demands of end users. For instance, in November, 2023, Broadcom, Inc. took over VMware, Inc, an American cloud computing company. With this acquisition, Broadcom aims to enhance its private and hybrid cloud environments by investing in VMware Cloud Foundation and offering services like VMware Tanzu, Application Networking etc. Moreover, in May, 2022, AMD took over Pensando Systems, an IT services management comapny. This acquisition strengthens AMD's data center product portfolio.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunners in the Market. In January, 2023, Microsoft announced the acquisition of Fungible, a startup specializing in DPUs for data center infrastructure. This acquisition is part of Microsoft's strategy to enhance its Azure cloud platform with Fungible's DPU technology. Companies such as Broadcom, Inc., NVIDIA Corporation and Intel Corporation are some of the key innovators in Market.

Market Growth Factors

Cloud service providers continuously seek ways to optimize their infrastructure to deliver better customer performance and efficiency. DPUs play a crucial role in offloading specific processing tasks from traditional CPUs and GPUs, thus accelerating critical workloads like AI inference, data analytics, and networking functions within cloud data centers. Adopting DPUs in cloud computing opens opportunities for offering new and innovative services to customers. Therefore, the market is expanding significantly due to the increasing adoption of cloud computing.

Data-driven businesses often deal with complex analytics workloads, including real-time analytics, predictive analytics, machine learning, and artificial intelligence. DPUs are crucial in accelerating real-time data processing tasks, enabling businesses to extract insights, detect patterns, and make decisions in milliseconds or microseconds. Thus, because of the emergence of data-driven business models, the market is anticipated to increase significantly.

Market Restraining Factors

Data breaches or security events affecting DPUs can erode customer, stakeholder, and regulatory trust. Organizations that fail to protect sensitive data processed by DPUs adequately may face reputational damage and legal consequences, eroding trust in their products, services, and brands. Cybercriminals may exploit vulnerabilities in DPUs to gain unauthorized access, steal confidential information, or disrupt critical operations. Thus, data privacy and security concerns can slow down the growth of the market.

Type Outlook

Based on type, the market is classified into ASIC-based, FPGA-based, and SOC-based. The ASIC-based segment acquired 20% revenue share in the market in 2023. ASIC-based DPUs offer customization and optimization opportunities, allowing vendors to tailor hardware designs to specific application requirements. This customization enables ASIC-based DPUs to achieve optimal performance, latency, and resource utilization for targeted workloads.

Data Center Type Outlook

By data center type, the market is categorized into colocation, hyperscale, edge, and others. The colocation segment covered a 26% revenue share in the market in 2023. Colocation facilities offer scalable infrastructure solutions that can accommodate varying levels of demand. By colocating DPUs in these facilities, businesses can easily scale their data processing capabilities to handle growing workloads without investing in additional on-premises hardware. This scalability fosters business growth and agility, driving demand for DPUs to support expanding data processing needs.

Application Outlook

On the basis of application, the market is divided into BFSI, IT & Telecom, government, energy & utilities, and others. The BFSI segment garnered a 20% revenue share in the market in 2023. BFSI segment generates and processes vast amounts of data daily, including transactions, customer information, market data, and regulatory filings. DPUs are essential for handling these data-intensive operations efficiently. They accelerate data processing tasks such as real-time transaction processing, fraud detection, risk analytics, and compliance reporting, enabling financial institutions to manage their operations effectively and make data-driven decisions.

Regional Outlook

Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the North America region led the market by generating 40% revenue share. The increasing number of IoT devices, the need for low-latency processing, and the amount of data created at the network edge all contribute to the growth of edge computing in North America. North America is a hub for innovation in AI and ML technologies. As businesses and research institutions in North America continue to invest in AI-driven initiatives, like autonomous vehicles, natural language processing, and predictive analytics, the demand for DPUs optimized for AI workloads increases.

The market is highly competitive, driven by the increasing demand for accelerated data processing in various industries. Key players like NVIDIA, Intel, and AMD are intensifying their focus on DPUs, offering solutions that integrate processing, networking, and security functions. Startups and niche players are also entering the market with specialized DPUs tailored for specific applications. This competition fuels innovation, leading to advancements in DPU architectures, efficiency, and scalability, ultimately benefiting customers with more powerful and versatile data processing capabilities.

Recent Strategies Deployed in the Market

  • Mar-2024: Marvell Technology Group Ltd. came into partnership with TSMC, a Taiwanese semiconductor company. The partnership aimed at developing platforms for producing 2mm accelerated infrastructure semiconductors.
  • Feb-2024: Kalray and Arm, a British semiconductor manufacturer, partnered to deliver high-performance data processing and AI capabilities. Under the partnership, Arm would integrate its Neoverse Coherent Mesh Network into Kalray's DPU technology, which would facilitate enhanced flexibility, performance, and efficiency across a wide range of applications from cloud to edge computing.
  • Dec-2023: Marvell Technology introduced OCTEON 10 CN102 and CN103 DPUs. These DPUs, built on a 5nm process with 64-bit Arm Neoverse N2 core, offer improved performance, power efficiency, and integration features like Ethernet MAC support, PCIe 5.0, and DDR5.
  • Nov-2023: Broadcom Inc. announced NetGNT, a neural-network inference engine in its Trident 5-X12 chip. NetGNT enhances network efficiency by analysing traffic patterns, such as AI/ML "incast," in real-time and applying congestion-control techniques.
  • Mar-2022: Intel Corporation took over Granulate Cloud Solutions Ltd., an Israel-based developer specializing in real-time continuous optimization software. The acquisition aims to enhance intel's cloud and data center performance business.

List of Key Companies Profiled

  • Kalray SA
  • Advanced Micro Devices, Inc.
  • Marvell Technology Group Ltd.
  • Microsoft Corporation
  • NVIDIA Corporation
  • Yisixin Technology (Shanghai) Co., Ltd.
  • Broadcom, Inc.
  • Intel Corporation
  • YUSUR Technology Co., Ltd.

Global Data Processing Unit Market Report Segmentation

By Type

  • FPGA-Based
  • SOC-Based
  • ASIC-Based

By Data Center Type

  • Hyperscale
  • Colocation
  • Edge
  • Others

By Application

  • IT & Telecom
  • BFSI
  • Energy & Utilities
  • Government
  • Others

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1.Market Scope & Methodology

  • 1.1Market Definition
  • 1.2Objectives
  • 1.3Market Scope
  • 1.4Segmentation
    • 1.4.1Global Data Processing Unit Market, by Type
    • 1.4.2Global Data Processing Unit Market, by Data Center Type
    • 1.4.3Global Data Processing Unit Market, by Application
    • 1.4.4Global Data Processing Unit Market, by Geography
  • 1.5Methodology for the research

Chapter 2.Market at a Glance

  • 2.1Key Highlights

Chapter 3.Market Overview

  • 3.1Introduction
    • 3.1.1Overview
      • 3.1.1.1Market Composition and Scenario
  • 3.2Key Factors Impacting the Market
    • 3.2.1Market Drivers
    • 3.2.2Market Restraints
    • 3.2.3Market Opportunities
    • 3.2.4Market Challenges

Chapter 4.Competition Analysis - Global

  • 4.1KBV Cardinal Matrix
  • 4.2Recent Industry Wide Strategic Developments
    • 4.2.1Partnerships, Collaborations and Agreements
    • 4.2.2Product Launches and Product Expansions
    • 4.2.3Acquisition and Mergers
  • 4.3Market Share Analysis, 2023
  • 4.4Top Winning Strategies
    • 4.4.1Key Leading Strategies: Percentage Distribution (2019-2023)
    • 4.4.2Key Strategic Move: (Mergers & Acquisition: 2019, Mar - 2023, Nov) Leading Players
  • 4.5Porter Five Forces Analysis

Chapter 5.Global Data Processing Unit Market by Type

  • 5.1Global FPGA-Based Market by Region
  • 5.2Global SOC-Based Market by Region
  • 5.3Global ASIC-Based Market by Region

Chapter 6.Global Data Processing Unit Market by Data Center Type

  • 6.1Global Hyperscale Market by Region
  • 6.2Global Colocation Market by Region
  • 6.3Global Edge Market by Region
  • 6.4Global Others Market by Region

Chapter 7.Global Data Processing Unit Market by Application

  • 7.1Global IT & Telecom Market by Region
  • 7.2Global BFSI Market by Region
  • 7.3Global Energy & Utilities Market by Region
  • 7.4Global Government Market by Region
  • 7.5Global Others Market by Region

Chapter 8.Global Data Processing Unit Market by Region

  • 8.1North America Data Processing Unit Market
    • 8.1.1North America Data Processing Unit Market by Type
      • 8.1.1.1North America FPGA-Based Market by Country
      • 8.1.1.2North America SOC-Based Market by Country
      • 8.1.1.3North America ASIC-Based Market by Country
    • 8.1.2North America Data Processing Unit Market by Data Center Type
      • 8.1.2.1North America Hyperscale Market by Country
      • 8.1.2.2North America Colocation Market by Country
      • 8.1.2.3North America Edge Market by Country
      • 8.1.2.4North America Others Market by Country
    • 8.1.3North America Data Processing Unit Market by Application
      • 8.1.3.1North America IT & Telecom Market by Country
      • 8.1.3.2North America BFSI Market by Country
      • 8.1.3.3North America Energy & Utilities Market by Country
      • 8.1.3.4North America Government Market by Country
      • 8.1.3.5North America Others Market by Country
    • 8.1.4North America Data Processing Unit Market by Country
      • 8.1.4.1US Data Processing Unit Market
        • 8.1.4.1.1US Data Processing Unit Market by Type
        • 8.1.4.1.2US Data Processing Unit Market by Data Center Type
        • 8.1.4.1.3US Data Processing Unit Market by Application
      • 8.1.4.2Canada Data Processing Unit Market
        • 8.1.4.2.1Canada Data Processing Unit Market by Type
        • 8.1.4.2.2Canada Data Processing Unit Market by Data Center Type
        • 8.1.4.2.3Canada Data Processing Unit Market by Application
      • 8.1.4.3Mexico Data Processing Unit Market
        • 8.1.4.3.1Mexico Data Processing Unit Market by Type
        • 8.1.4.3.2Mexico Data Processing Unit Market by Data Center Type
        • 8.1.4.3.3Mexico Data Processing Unit Market by Application
      • 8.1.4.4Rest of North America Data Processing Unit Market
        • 8.1.4.4.1Rest of North America Data Processing Unit Market by Type
        • 8.1.4.4.2Rest of North America Data Processing Unit Market by Data Center Type
        • 8.1.4.4.3Rest of North America Data Processing Unit Market by Application
  • 8.2Europe Data Processing Unit Market
    • 8.2.1Europe Data Processing Unit Market by Type
      • 8.2.1.1Europe FPGA-Based Market by Country
      • 8.2.1.2Europe SOC-Based Market by Country
      • 8.2.1.3Europe ASIC-Based Market by Country
    • 8.2.2Europe Data Processing Unit Market by Data Center Type
      • 8.2.2.1Europe Hyperscale Market by Country
      • 8.2.2.2Europe Colocation Market by Country
      • 8.2.2.3Europe Edge Market by Country
      • 8.2.2.4Europe Others Market by Country
    • 8.2.3Europe Data Processing Unit Market by Application
      • 8.2.3.1Europe IT & Telecom Market by Country
      • 8.2.3.2Europe BFSI Market by Country
      • 8.2.3.3Europe Energy & Utilities Market by Country
      • 8.2.3.4Europe Government Market by Country
      • 8.2.3.5Europe Others Market by Country
    • 8.2.4Europe Data Processing Unit Market by Country
      • 8.2.4.1Germany Data Processing Unit Market
        • 8.2.4.1.1Germany Data Processing Unit Market by Type
        • 8.2.4.1.2Germany Data Processing Unit Market by Data Center Type
        • 8.2.4.1.3Germany Data Processing Unit Market by Application
      • 8.2.4.2UK Data Processing Unit Market
        • 8.2.4.2.1UK Data Processing Unit Market by Type
        • 8.2.4.2.2UK Data Processing Unit Market by Data Center Type
        • 8.2.4.2.3UK Data Processing Unit Market by Application
      • 8.2.4.3France Data Processing Unit Market
        • 8.2.4.3.1France Data Processing Unit Market by Type
        • 8.2.4.3.2France Data Processing Unit Market by Data Center Type
        • 8.2.4.3.3France Data Processing Unit Market by Application
      • 8.2.4.4Russia Data Processing Unit Market
        • 8.2.4.4.1Russia Data Processing Unit Market by Type
        • 8.2.4.4.2Russia Data Processing Unit Market by Data Center Type
        • 8.2.4.4.3Russia Data Processing Unit Market by Application
      • 8.2.4.5Spain Data Processing Unit Market
        • 8.2.4.5.1Spain Data Processing Unit Market by Type
        • 8.2.4.5.2Spain Data Processing Unit Market by Data Center Type
        • 8.2.4.5.3Spain Data Processing Unit Market by Application
      • 8.2.4.6Italy Data Processing Unit Market
        • 8.2.4.6.1Italy Data Processing Unit Market by Type
        • 8.2.4.6.2Italy Data Processing Unit Market by Data Center Type
        • 8.2.4.6.3Italy Data Processing Unit Market by Application
      • 8.2.4.7Rest of Europe Data Processing Unit Market
        • 8.2.4.7.1Rest of Europe Data Processing Unit Market by Type
        • 8.2.4.7.2Rest of Europe Data Processing Unit Market by Data Center Type
        • 8.2.4.7.3Rest of Europe Data Processing Unit Market by Application
  • 8.3Asia Pacific Data Processing Unit Market
    • 8.3.1Asia Pacific Data Processing Unit Market by Type
      • 8.3.1.1Asia Pacific FPGA-Based Market by Country
      • 8.3.1.2Asia Pacific SOC-Based Market by Country
      • 8.3.1.3Asia Pacific ASIC-Based Market by Country
    • 8.3.2Asia Pacific Data Processing Unit Market by Data Center Type
      • 8.3.2.1Asia Pacific Hyperscale Market by Country
      • 8.3.2.2Asia Pacific Colocation Market by Country
      • 8.3.2.3Asia Pacific Edge Market by Country
      • 8.3.2.4Asia Pacific Others Market by Country
    • 8.3.3Asia Pacific Data Processing Unit Market by Application
      • 8.3.3.1Asia Pacific IT & Telecom Market by Country
      • 8.3.3.2Asia Pacific BFSI Market by Country
      • 8.3.3.3Asia Pacific Energy & Utilities Market by Country
      • 8.3.3.4Asia Pacific Government Market by Country
      • 8.3.3.5Asia Pacific Others Market by Country
    • 8.3.4Asia Pacific Data Processing Unit Market by Country
      • 8.3.4.1China Data Processing Unit Market
        • 8.3.4.1.1China Data Processing Unit Market by Type
        • 8.3.4.1.2China Data Processing Unit Market by Data Center Type
        • 8.3.4.1.3China Data Processing Unit Market by Application
      • 8.3.4.2Japan Data Processing Unit Market
        • 8.3.4.2.1Japan Data Processing Unit Market by Type
        • 8.3.4.2.2Japan Data Processing Unit Market by Data Center Type
        • 8.3.4.2.3Japan Data Processing Unit Market by Application
      • 8.3.4.3India Data Processing Unit Market
        • 8.3.4.3.1India Data Processing Unit Market by Type
        • 8.3.4.3.2India Data Processing Unit Market by Data Center Type
        • 8.3.4.3.3India Data Processing Unit Market by Application
      • 8.3.4.4South Korea Data Processing Unit Market
        • 8.3.4.4.1South Korea Data Processing Unit Market by Type
        • 8.3.4.4.2South Korea Data Processing Unit Market by Data Center Type
        • 8.3.4.4.3South Korea Data Processing Unit Market by Application
      • 8.3.4.5Taiwan Data Processing Unit Market
        • 8.3.4.5.1Taiwan Data Processing Unit Market by Type
        • 8.3.4.5.2Taiwan Data Processing Unit Market by Data Center Type
        • 8.3.4.5.3Taiwan Data Processing Unit Market by Application
      • 8.3.4.6Malaysia Data Processing Unit Market
        • 8.3.4.6.1Malaysia Data Processing Unit Market by Type
        • 8.3.4.6.2Malaysia Data Processing Unit Market by Data Center Type
        • 8.3.4.6.3Malaysia Data Processing Unit Market by Application
      • 8.3.4.7Rest of Asia Pacific Data Processing Unit Market
        • 8.3.4.7.1Rest of Asia Pacific Data Processing Unit Market by Type
        • 8.3.4.7.2Rest of Asia Pacific Data Processing Unit Market by Data Center Type
        • 8.3.4.7.3Rest of Asia Pacific Data Processing Unit Market by Application
  • 8.4LAMEA Data Processing Unit Market
    • 8.4.1LAMEA Data Processing Unit Market by Type
      • 8.4.1.1LAMEA FPGA-Based Market by Country
      • 8.4.1.2LAMEA SOC-Based Market by Country
      • 8.4.1.3LAMEA ASIC-Based Market by Country
    • 8.4.2LAMEA Data Processing Unit Market by Data Center Type
      • 8.4.2.1LAMEA Hyperscale Market by Country
      • 8.4.2.2LAMEA Colocation Market by Country
      • 8.4.2.3LAMEA Edge Market by Country
      • 8.4.2.4LAMEA Others Market by Country
    • 8.4.3LAMEA Data Processing Unit Market by Application
      • 8.4.3.1LAMEA IT & Telecom Market by Country
      • 8.4.3.2LAMEA BFSI Market by Country
      • 8.4.3.3LAMEA Energy & Utilities Market by Country
      • 8.4.3.4LAMEA Government Market by Country
      • 8.4.3.5LAMEA Others Market by Country
    • 8.4.4LAMEA Data Processing Unit Market by Country
      • 8.4.4.1Brazil Data Processing Unit Market
        • 8.4.4.1.1Brazil Data Processing Unit Market by Type
        • 8.4.4.1.2Brazil Data Processing Unit Market by Data Center Type
        • 8.4.4.1.3Brazil Data Processing Unit Market by Application
      • 8.4.4.2Argentina Data Processing Unit Market
        • 8.4.4.2.1Argentina Data Processing Unit Market by Type
        • 8.4.4.2.2Argentina Data Processing Unit Market by Data Center Type
        • 8.4.4.2.3Argentina Data Processing Unit Market by Application
      • 8.4.4.3UAE Data Processing Unit Market
        • 8.4.4.3.1UAE Data Processing Unit Market by Type
        • 8.4.4.3.2UAE Data Processing Unit Market by Data Center Type
        • 8.4.4.3.3UAE Data Processing Unit Market by Application
      • 8.4.4.4Saudi Arabia Data Processing Unit Market
        • 8.4.4.4.1Saudi Arabia Data Processing Unit Market by Type
        • 8.4.4.4.2Saudi Arabia Data Processing Unit Market by Data Center Type
        • 8.4.4.4.3Saudi Arabia Data Processing Unit Market by Application
      • 8.4.4.5South Africa Data Processing Unit Market
        • 8.4.4.5.1South Africa Data Processing Unit Market by Type
        • 8.4.4.5.2South Africa Data Processing Unit Market by Data Center Type
        • 8.4.4.5.3South Africa Data Processing Unit Market by Application
      • 8.4.4.6Nigeria Data Processing Unit Market
        • 8.4.4.6.1Nigeria Data Processing Unit Market by Type
        • 8.4.4.6.2Nigeria Data Processing Unit Market by Data Center Type
        • 8.4.4.6.3Nigeria Data Processing Unit Market by Application
      • 8.4.4.7Rest of LAMEA Data Processing Unit Market
        • 8.4.4.7.1Rest of LAMEA Data Processing Unit Market by Type
        • 8.4.4.7.2Rest of LAMEA Data Processing Unit Market by Data Center Type
        • 8.4.4.7.3Rest of LAMEA Data Processing Unit Market by Application

Chapter 9.Company Profiles

  • 9.1Kalray SA
    • 9.1.1Company Overview
    • 9.1.2Financial Analysis
    • 9.1.3Recent strategies and developments:
      • 9.1.3.1Partnerships, Collaborations, and Agreements:
      • 9.1.3.2Product Launches and Product Expansions:
  • 9.2Yisixin Technology (Shanghai) Co., Ltd. (Resnics)
    • 9.2.1Company Overview
  • 9.3YUSUR Technology Co., Ltd.
    • 9.3.1Company Overview
  • 9.4Advanced Micro Devices, Inc.
    • 9.4.1Company Overview
    • 9.4.2Financial Analysis
    • 9.4.3Segmental and Regional Analysis
    • 9.4.4Research & Development Expenses
    • 9.4.5Recent strategies and developments:
      • 9.4.5.1Acquisition and Mergers:
    • 9.4.6SWOT Analysis
  • 9.5Marvell Technology Group Ltd.
    • 9.5.1Company Overview
    • 9.5.2Financial Analysis
    • 9.5.3Regional Analysis
    • 9.5.4Research & Development Expense
    • 9.5.5Recent strategies and developments:
      • 9.5.5.1Partnerships, Collaborations, and Agreements:
      • 9.5.5.2Product Launches and Product Expansions:
      • 9.5.5.3Acquisition and Mergers:
    • 9.5.6SWOT Analysis
  • 9.6Microsoft Corporation
    • 9.6.1Company Overview
    • 9.6.2Financial Analysis
    • 9.6.3Segmental and Regional Analysis
    • 9.6.4Research & Development Expenses
    • 9.6.5Recent strategies and developments:
      • 9.6.5.1Acquisition and Mergers:
    • 9.6.6SWOT Analysis
  • 9.7NVIDIA Corporation
    • 9.7.1Company Overview
    • 9.7.2Financial Analysis
    • 9.7.3Segmental and Regional Analysis
    • 9.7.4Research & Development Expenses
    • 9.7.5Recent strategies and developments:
      • 9.7.5.1Product Launches and Product Expansions:
      • 9.7.5.2Acquisition and Mergers:
    • 9.7.6SWOT Analysis
  • 9.8Broadcom, Inc.
    • 9.8.1Company Overview
    • 9.8.2Financial Analysis
    • 9.8.3Segmental and Regional Analysis
    • 9.8.4Research & Development Expense
    • 9.8.5Recent strategies and developments:
      • 9.8.5.1Product Launches and Product Expansions:
      • 9.8.5.2Acquisition and Mergers:
    • 9.8.6SWOT Analysis
  • 9.9Intel Corporation
    • 9.9.1Company Overview
    • 9.9.2Financial Analysis
    • 9.9.3Segmental and Regional Analysis
    • 9.9.4Research & Development Expenses
    • 9.9.5Recent strategies and developments:
      • 9.9.5.1Acquisition and Mergers:
    • 9.9.6SWOT Analysis

Chapter 10.Winning Imperatives for Data Processing Unit Market

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