封面
市场调查报告书
商品编码
1891215

并行计算市场按组件、加速器类型和地区划分

Parallel Computing Market, By Component (Hardware, Services, and Software), By Accelerator Type (GPU, CPU, Specialized Co-processors, and FPGA), By Geography (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa)

出版日期: | 出版商: Coherent Market Insights | 英文 155 Pages | 商品交期: 2-3个工作天内

价格
简介目录

预计到 2025 年,平行计算市场规模将达到 243.6 亿美元,到 2032 年将达到 535.2 亿美元,2025 年至 2032 年的复合年增长率为 11.9%。

报告内容 报告详情
基准年: 2024 2025年市场规模: 243.6亿美元
历史数据时期: 2020-2024 预测期: 2025-2032
预测期间(2025-2032年): 11.90% 2032 年的预测值: 535.2亿美元

在全球范围内,平行运算是一种创新的运算方法,它利用多个处理器同时解决复杂问题,与传统的顺序运算方法相比,显着缩短了执行时间。这项技术已成为现代高效能运算的基础,能够处理科学研究、金融建模、人工智慧、机器学习和数据分析等各领域的运算密集型任务。

平行运算生态系统涵盖多种架构,包括多核心处理器、图形处理器 (GPU)、分散式运算系统和云端基础的平行处理平台。随着各行业数位转型加速,对高速数据处理、即时分析和复杂演算法计算的需求显着增长。各组织机构日益认识到平行运算的重要性,将其视为在资料驱动型环境中保持竞争优势的关键基础设施组成部分。

市场动态

全球平行运算市场正经历强劲成长,其主要驱动力是资料生成呈指数级增长,因为世界各地的组织都面临着处理大量结构化和非结构化资料的问题,这需要先进的运算能力,而只有并行处理才能有效地提供这种能力。

人工智慧 (AI) 和机器学习应用在跨产业的迅速普及,对平行运算基础设施的需求空前高涨,以满足传统运算架构无法充分支援的复杂神经网路、深度学习演算法和即时决策系统的训练需求。云端运算的普及进一步加速了市场成长,它使高效能并行运算资源的取得更加便捷,让小规模的组织无需在实体基础设施上进行大量资本投入,即可利用强大的运算能力。

然而,市场仍存在诸多限制因素。平行程式设计范式的复杂性需要专业知识,导致劳动力技能有显着差距,并限制了缺乏技术资源的组织采用平行运算技术。部署并行运算基础设施(专用硬体、软体授权、系统整合成本等)的高昂前期成本,对预算有限的组织构成了重大障碍,尤其是在发展中市场。此外,软体相容性、系统可扩展性以及为保持最佳效能而需要持续更新等问题,也带来了持续的营运复杂性。

儘管有这些限制,但不断扩展的物联网 (IoT) 生态系统正在涌现出巨大的机会,该生态系统需要即时处理感测器资料;不断增长的边缘运算计画需要分散式并行处理能力;以及对严重依赖运算建模和模拟技术的科学研究和开发计划的投资不断增加。

本次调查的主要特点

  • 本报告对全球平行计算市场进行了详细分析,并以 2024 年为基准年,给出了预测期(2025-2032 年)内的市场规模(十亿美元)和復合年增长率(%)。
  • 它还重点介绍了各个细分市场的潜在商机,并解释了该市场具有吸引力的投资提案矩阵。
  • 该研究还提供了有关市场驱动因素、限制因素、机会、新产品发布或核准、市场趋势、区域展望以及主要参与企业。
  • 本报告根据以下参数对全球平行运算市场的主要参与企业进行了分析:公司概况、产品系列、主要特点、财务绩效和策略。
  • 本报告中的研究结果将使负责人和经营团队能够就未来的产品发布、机器类型升级、市场扩张和行销策略做出明智的决策。
  • 这份全球平行计算市场报告的目标受众是该行业的各种相关人员,包括投资者、供应商、产品製造商、经销商、新参与企业和金融分析师。
  • 相关人员可以透过用于分析全球并行运算市场的各种策略矩阵轻鬆做出决策。

目录

第一章 研究目标与前提条件

  • 调查目的
  • 先决条件
  • 简称

第二章 市场范围

  • 报告概述
    • 市场定义和范围
  • 执行摘要

第三章:市场动态、监管与趋势分析

  • 市场动态
  • 影响分析
  • 法规环境
  • 产品上市及核准情况
  • PEST分析
  • 波特分析
  • 市场机会
  • 法规环境
  • 产业趋势

4. 2020-2032年全球平行计算市场(依组件划分)

  • 硬体
  • 服务
  • 软体

5. 2020-2032年全球平行计算市场(依加速器类型划分)

  • GPU
  • CPU
  • 专用协处理器
  • FPGA

6. 2020-2032年全球平行计算市场(按地区划分)

  • 北美洲
    • 美国
    • 加拿大
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 墨西哥
    • 其他拉丁美洲国家
  • 欧洲
    • 德国
    • 英国
    • 西班牙
    • 法国
    • 义大利
    • 俄罗斯
    • 其他欧洲
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • ASEAN
    • 亚太其他地区
  • 中东
    • GCC
    • 以色列
    • 其他中东国家
  • 非洲
    • 南非
    • 北非
    • 中非

第七章 竞争情势

  • NVIDIA
  • Intel
  • AMD
  • IBM
  • Hewlett Packard Enterprise
  • Dell Technologies
  • Microsoft
  • Amazon Web Services
  • Google Cloud
  • Fujitsu
  • Lenovo
  • Cisco
  • Atos
  • NEC
  • Penguin Computing

第八章 分析师建议

  • 机会
  • 一致的机会地图

第九章 参考文献与调查方法

  • 参考
  • 调查方法
  • 关于出版商
简介目录
Product Code: CMI8990

Parallel Computing Market is estimated to be valued at USD 24.36 Bn in 2025 and is expected to reach USD 53.52 Bn by 2032, growing at a compound annual growth rate (CAGR) of 11.9% from 2025 to 2032.

Report Coverage Report Details
Base Year: 2024 Market Size in 2025: USD 24.36 Bn
Historical Data for: 2020 To 2024 Forecast Period: 2025 To 2032
Forecast Period 2025 to 2032 CAGR: 11.90% 2032 Value Projection: USD 53.52 Bn

Global parallel computing represents a transformative approach to computational processing where multiple processors work simultaneously to solve complex problems, dramatically reducing execution time compared to traditional sequential computing methods. This technology has emerged as a cornerstone of modern high-performance computing, enabling organizations to tackle computationally intensive tasks across diverse sectors including scientific research, financial modeling, artificial intelligence, machine learning, and data analytics.

The parallel computing ecosystem encompasses various architectures such as multi-core processors, graphics processing units (GPUs), distributed computing systems, and cloud-based parallel processing platforms. As digital transformation accelerates across industries, the demand for faster data processing, real-time analytics, and complex algorithmic computations has intensified significantly. Organizations are increasingly recognizing parallel computing as an essential infrastructure component for maintaining competitive advantages in data-driven environments.

Market Dynamics

The global parallel computing market is experiencing robust growth driven by several compelling factors, with the exponential increase in data generation serving as the primary catalyst for market expansion, as organizations worldwide grapple with processing vast volumes of structured and unstructured data requiring sophisticated computational capabilities that only parallel processing can efficiently deliver.

The proliferation of artificial intelligence and machine learning applications across industries has created unprecedented demand for parallel computing infrastructure, enabling complex neural network training, deep learning algorithms, and real-time decision-making systems that traditional computing architectures cannot adequately support. Cloud computing adoption has further accelerated market growth by democratizing access to high-performance parallel computing resources, allowing smaller organizations to leverage powerful computational capabilities without substantial capital investments in physical infrastructure.

However, the market faces significant restraints including the complexity of parallel programming paradigms that require specialized expertise, creating a substantial skills gap in the workforce and limiting widespread adoption among organizations lacking technical resources. The high initial costs associated with implementing parallel computing infrastructure, including specialized hardware, software licensing, and system integration expenses, present considerable barriers for budget-conscious organizations, particularly in developing markets. Additionally, challenges related to software compatibility, system scalability, and the need for continuous updates to maintain optimal performance create ongoing operational complexities.

Despite these constraints, substantial opportunities emerge from the growing Internet of Things ecosystem requiring real-time processing of sensor data, the expansion of edge computing initiatives demanding distributed parallel processing capabilities, and increasing investments in scientific research and development projects that rely heavily on computational modeling and simulation technologies.

Key Features of the Study

  • This report provides in-depth analysis of the global parallel computing market, and provides market size (USD Billion) and compound annual growth rate (CAGR%) for the forecast period (2025-2032), considering 2024 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
  • It profiles key players in the global parallel computing market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
  • Key companies covered as a part of this study include NVIDIA, Intel, AMD, IBM, Hewlett Packard Enterprise, Dell Technologies, Microsoft, Amazon Web Services, Google Cloud, Fujitsu, Lenovo, Cisco, Atos, NEC, and Penguin Computing
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
  • The global parallel computing market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global parallel computing market

Market Segmentation

  • Component Insights (Revenue, USD Bn, 2020 - 2032)
    • Hardware
    • Services
    • Software
  • Accelerator Type Insights (Revenue, USD Bn, 2020 - 2032)
    • GPU
    • CPU
    • Specialized Co-processors
    • FPGA
  • Regional Insights (Revenue, USD Bn, 2020 - 2032)
    • North America
    • U.S.
    • Canada
    • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Rest of Latin America
    • Europe
    • Germany
    • U.K.
    • Spain
    • France
    • Italy
    • Russia
    • Rest of Europe
    • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • ASEAN
    • Rest of Asia Pacific
    • Middle East
    • GCC Countries
    • Israel
    • Rest of Middle East
    • Africa
    • South Africa
    • North Africa
    • Central Africa
  • Key Players Insights
    • NVIDIA
    • Intel
    • AMD
    • IBM
    • Hewlett Packard Enterprise
    • Dell Technologies
    • Microsoft
    • Amazon Web Services
    • Google Cloud
    • Fujitsu
    • Lenovo
    • Cisco
    • Atos
    • NEC
    • Penguin Computing

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Global Parallel Computing Market, By Component
    • Global Parallel Computing Market, By Accelerator Type
    • Global Parallel Computing Market, By Region

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
  • Impact Analysis
  • Key Highlights
  • Regulatory Scenario
  • Product Launches/Approvals
  • PEST Analysis
  • PORTER's Analysis
  • Market Opportunities
  • Regulatory Scenario
  • Key Developments
  • Industry Trends

4. Global Parallel Computing Market, By Component, 2020-2032, (USD Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Hardware
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)
  • Services
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)
  • Software
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)

5. Global Parallel Computing Market, By Accelerator Type, 2020-2032, (USD Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • GPU
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)
  • CPU
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)
  • Specialized Co-processors
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)
  • FPGA
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2020-2032, (USD Bn)

6. Global Parallel Computing Market, By Region, 2020 - 2032, Value (USD Bn)

  • Introduction
    • Market Share (%) Analysis, 2025, 2028 & 2032, Value (USD Bn)
    • Market Y-o-Y Growth Analysis (%), 2021 - 2032, Value (USD Bn)
    • Regional Trends
  • North America
    • Introduction
    • Market Size and Forecast, By Component, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Accelerator Type, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Country, 2020 - 2032, Value (USD Bn)
      • U.S.
      • Canada
  • Latin America
    • Introduction
    • Market Size and Forecast, By Component, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Accelerator Type, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Country, 2020 - 2032, Value (USD Bn)
      • Brazil
      • Argentina
      • Mexico
      • Rest of Latin America
  • Europe
    • Introduction
    • Market Size and Forecast, By Component, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Accelerator Type, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Country, 2020 - 2032, Value (USD Bn)
      • Germany
      • U.K.
      • Spain
      • France
      • Italy
      • Russia
      • Rest of Europe
  • Asia Pacific
    • Introduction
    • Market Size and Forecast, By Component, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Accelerator Type, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Country, 2020 - 2032, Value (USD Bn)
      • China
      • India
      • Japan
      • Australia
      • South Korea
      • ASEAN
      • Rest of Asia Pacific
  • Middle East
    • Introduction
    • Market Size and Forecast, By Component, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Accelerator Type, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Country, 2020 - 2032, Value (USD Bn)
      • GCC Countries
      • Israel
      • Rest of Middle East
  • Africa
    • Introduction
    • Market Size and Forecast, By Component, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Accelerator Type, 2020 - 2032, Value (USD Bn)
    • Market Size and Forecast, By Country/Region, 2020 - 2032, Value (USD Bn)
      • South Africa
      • North Africa
      • Central Africa

7. Competitive Landscape

  • NVIDIA
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Intel
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • AMD
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • IBM
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Hewlett Packard Enterprise
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Dell Technologies
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Microsoft
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Amazon Web Services
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Google Cloud
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Fujitsu
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Lenovo
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Cisco
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Atos
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • NEC
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies
  • Penguin Computing
    • Company Highlights
    • Product Portfolio
    • Key Developments
    • Financial Performance
    • Strategies

8. Analyst Recommendations

  • Wheel of Fortune
  • Analyst View
  • Coherent Opportunity Map

9. References and Research Methodology

  • References
  • Research Methodology
  • About us