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市場調查報告書
商品編碼
1684716

下一代運算市場機會、成長動力、產業趨勢分析和 2025 - 2034 年預測

Next Generation Computing Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 175 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球新一代運算市場規模將達到 1,133 億美元,預計 2025 年至 2034 年期間的複合年成長率為 21.7%,這得益於對能夠解決跨行業複雜計算挑戰的高效能運算解決方案的需求不斷成長。多個行業的組織都在積極投資尖端運算解決方案,以提高營運效率、最佳化決策並保持競爭優勢。隨著人工智慧 (AI)、機器學習 (ML) 和巨量資料分析的不斷發展,企業尋求提供卓越速度、效率和可擴展性的運算技術。處理海量資料集、運行複雜模擬和支援即時分析的需求也推動了下一代運算的需求,推動企業採用簡化工作流程和提高生產力的先進解決方案。

下一代運算市場 - IMG1

對雲端運算、邊緣運算和量子運算的日益依賴正在徹底改變醫療保健、金融、製造業和國防等各行各業。企業正在利用下一代運算來驅動自主系統、最佳化供應鏈營運並增強網路安全框架。人工智慧驅動的應用程式和高頻交易平台的快速普及進一步增加了對高速運算基礎設施的需求。政府機構和研究機構也對量子運算和百億億次系統進行了大量投資,加速了重新定義運算能力的技術突破。隨著運算架構的不斷進步,企業越來越優先考慮整合AI加速、超快速處理和安全運算環境的解決方案。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 1133億美元
預測值 7598億美元
複合年成長率 21.7%

按組件分類,市場分為硬體、軟體和服務,其中硬體佔據主導地位,到 2024 年佔 40%。受對 AI 專用處理器、高效能 GPU 和高階記憶體組件的需求不斷成長的推動,預計到 2034 年該細分市場的規模將達到 3,358 億美元。各組織正在投資專用硬體,以支援對人工智慧推理、深度學習模型和量子計算應用日益成長的需求。高速處理器和新一代 GPU 在最佳化運算效能、確保無縫可擴展性以及為資料密集型工作負載提供無與倫比的處理能力方面發揮著至關重要的作用。晶片架構的演變,加上半導體技術的突破,正在推動下一代運算硬體解決方案的擴展。

市場還根據部署分為本地部署和雲端,其中本地部署解決方案在 2024 年佔據 52.2% 的市場佔有率。處理敏感資料和專有技術的企業優先考慮內部運算基礎設施,以實現更高的安全性、法規遵循和營運控制。銀行、醫療保健和國防等行業繼續青睞內部部署,以維護資料主權並最大限度地降低網路風險。管理關鍵任務工作負載的組織需要根據其安全策略量身定做的運算環境,這進一步推動了對內部部署解決方案的需求。隨著網路安全威脅的不斷發展,企業正在將人工智慧驅動的安全框架整合到其運算基礎設施中,以增強彈性並防止資料外洩。

2024 年,美國佔了 35% 的市場佔有率,並在人工智慧、雲端運算和半導體生產方面進行了大量投資,引領下一代運算領域。該國完善的研究生態系統,加上技術驅動的企業和先進的基礎設施,加速了先進計算技術的採用。人工智慧模型、量子研究計畫和下一代資料中心的快速部署鞏固了美國在高效能運算領域的全球領先地位。

目錄

第 1 章:方法論與範圍

  • 研究設計
    • 研究方法
    • 資料收集方法
  • 基礎估算與計算
    • 基準年計算
    • 市場估計的主要趨勢
  • 預測模型
  • 初步研究和驗證
    • 主要來源
    • 資料探勘來源
  • 市場範圍和定義

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
    • 解決方案提供者
    • 服務提供者
    • 技術提供者
    • 整合商
    • 最終用戶
  • 供應商概況
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 監管格局
  • 衝擊力
    • 成長動力
      • 高效能運算的需求不斷成長
      • 人工智慧和機器學習的進步
      • 資料產生量不斷增加,處理速度越來越快
    • 產業陷阱與挑戰
      • 實施成本高
      • 可擴展性挑戰
  • 成長潛力分析
  • 波特的分析
  • PESTEL 分析

第4章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第5章:市場估計與預測:按組件,2021 - 2034 年

  • 主要趨勢
  • 硬體
  • 軟體
  • 服務

第6章:市場估計與預測:按部署,2021 - 2034 年

  • 主要趨勢
  • 本地

第7章:市場估計與預測:依企業規模,2021 - 2034 年

  • 主要趨勢
  • 中小企業
  • 大型企業

第 8 章:市場估計與預測:按類型,2021 - 2034 年

  • 主要趨勢
  • 量子計算
  • 高效能運算
  • 近似和機率計算
  • 能源效率計算
  • 熱力學計算
  • 基於記憶體的計算
  • 光學運算
  • 其他

第 9 章:市場估計與預測:按最終用途產業,2021 - 2034 年

  • 主要趨勢
  • 金融保險業協會
  • 衛生保健
  • 資訊科技和電信
  • 運輸與物流
  • 能源與公用事業
  • 教育
  • 製造業
  • 政府
  • 其他

第 10 章:市場估計與預測:按地區,2021 - 2034 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 北歐
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 東南亞
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東及非洲
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯

第 11 章:公司簡介

  • Alibaba
  • Atos
  • Cambridge
  • Cisco
  • Dell
  • D-Wave Systems
  • Fujitsu
  • Google
  • Hewlett Packard Enterprise (HPE)
  • Honeywell International
  • IBM
  • Intel
  • IonQ
  • Microsoft
  • NVIDIA
  • PsiQuantum
  • Rigetti Computing
  • Samsung
  • TSMC
  • Xanadu Quantum
簡介目錄
Product Code: 13132

The Global Next Generation Computing Market reached USD 113.3 billion in 2024 and is estimated to grow at a CAGR of 21.7% from 2025 to 2034, fueled by the rising demand for high-performance computing solutions that can tackle complex computational challenges across industries. Organizations across multiple sectors are actively investing in cutting-edge computing solutions to drive operational efficiency, optimize decision-making, and maintain a competitive edge. As artificial intelligence (AI), machine learning (ML), and big data analytics continue to evolve, businesses seek computing technologies that deliver superior speed, efficiency, and scalability. The demand for next-generation computing is also driven by the need to process massive datasets, run intricate simulations, and support real-time analytics, pushing enterprises to adopt advanced solutions that streamline workflows and enhance productivity.

Next Generation Computing Market - IMG1

The growing reliance on cloud computing, edge computing, and quantum computing is revolutionizing industries, from healthcare and finance to manufacturing and defense. Enterprises are harnessing next-gen computing to power autonomous systems, optimize supply chain operations, and enhance cybersecurity frameworks. The rapid proliferation of AI-driven applications and high-frequency trading platforms further amplifies the need for high-speed computing infrastructures. Government agencies and research institutions are also making significant investments in quantum computing and exascale systems, accelerating technological breakthroughs that redefine computational capabilities. With continuous advancements in computing architectures, businesses are increasingly prioritizing solutions that integrate AI acceleration, ultra-fast processing, and secure computing environments.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$113.3 Billion
Forecast Value$759.8 Billion
CAGR21.7%

By component, the market is segmented into hardware, software, and services, with hardware dominating at a 40% share in 2024. This segment is expected to reach USD 335.8 billion by 2034, driven by the increasing need for AI-specific processors, high-performance GPUs, and advanced memory components. Organizations are investing in specialized hardware to support the growing demand for AI inference, deep learning models, and quantum computing applications. High-speed processors and next-gen GPUs play a crucial role in optimizing computing performance, ensuring seamless scalability, and delivering unmatched processing power for data-intensive workloads. The evolution of chip architectures, coupled with breakthroughs in semiconductor technology, is propelling the expansion of next-gen computing hardware solutions.

The market is also classified by deployment into on-premise and cloud, with on-premise solutions holding a 52.2% market share in 2024. Enterprises handling sensitive data and proprietary technologies prioritize in-house computing infrastructure for greater security, regulatory compliance, and operational control. Industries such as banking, healthcare, and defense continue to favor on-premise deployments to maintain data sovereignty and minimize cyber risks. Organizations managing mission-critical workloads require customized computing environments tailored to their security policies, further driving demand for on-premise solutions. As cybersecurity threats evolve, businesses are integrating AI-powered security frameworks into their computing infrastructures to enhance resilience and prevent data breaches.

The United States accounted for a dominant 35% market share in 2024, leading the next-generation computing sector with substantial investments in AI, cloud computing, and semiconductor production. The country's well-established research ecosystem, combined with tech-driven enterprises and cutting-edge infrastructure, accelerates the adoption of advanced computing technologies. The rapid deployment of AI models, quantum research initiatives, and next-gen data centers reinforces the US's position as a global leader in high-performance computing.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates & calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimation
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market scope & definition

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Solution provider
    • 3.1.2 Services provider
    • 3.1.3 Technology provider
    • 3.1.4 Integrators
    • 3.1.5 End user
  • 3.2 Supplier landscape
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Regulatory landscape
  • 3.7 Impact forces
    • 3.7.1 Growth drivers
      • 3.7.1.1 Growing demand for high-performance computing
      • 3.7.1.2 Advancements in AI and machine learning
      • 3.7.1.3 Increasing data generation and the need for faster processing
    • 3.7.2 Industry pitfalls & challenges
      • 3.7.2.1 High costs of implementation
      • 3.7.2.2 Scalability challenges
  • 3.8 Growth potential analysis
  • 3.9 Porter's analysis
  • 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

Chapter 6 Market Estimates & Forecast, By Deployment, 2021 - 2034 ($Bn)

  • 6.1 Key trends
  • 6.2 Cloud
  • 6.3 On-premise

Chapter 7 Market Estimates & Forecast, By Enterprise Size, 2021 - 2034 ($Bn)

  • 7.1 Key trends
  • 7.2 SME
  • 7.3 Large enterprises

Chapter 8 Market Estimates & Forecast, By Type, 2021 - 2034 ($Bn)

  • 8.1 Key trends
  • 8.2 Quantum computing
  • 8.3 HPC
  • 8.4 Approximate and probabilistic computing
  • 8.5 Energy efficiency computing
  • 8.6 Thermodynamic computing
  • 8.7 Memory based computing
  • 8.8 Optical computing
  • 8.9 Others

Chapter 9 Market Estimates & Forecast, By End Use Industry, 2021 - 2034 ($Bn, Units)

  • 9.1 Key trends
  • 9.2 BFSI
  • 9.3 Healthcare
  • 9.4 IT & telecom
  • 9.5 Transportation & logistics
  • 9.6 Energy & utility
  • 9.7 Education
  • 9.8 Manufacturing
  • 9.9 Government
  • 9.10 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Nordics
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Southeast Asia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 South Africa
    • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

  • 11.1 Alibaba
  • 11.2 Atos
  • 11.3 Cambridge
  • 11.4 Cisco
  • 11.5 Dell
  • 11.6 D-Wave Systems
  • 11.7 Fujitsu
  • 11.8 Google
  • 11.9 Hewlett Packard Enterprise (HPE)
  • 11.10 Honeywell International
  • 11.11 IBM
  • 11.12 Intel
  • 11.13 IonQ
  • 11.14 Microsoft
  • 11.15 NVIDIA
  • 11.16 PsiQuantum
  • 11.17 Rigetti Computing
  • 11.18 Samsung
  • 11.19 TSMC
  • 11.20 Xanadu Quantum