亞太伺服器GPU(人工智慧/半導體)市場:按應用、產品和國家分類的分析和預測(2023-2028)
市場調查報告書
商品編碼
1498723

亞太伺服器GPU(人工智慧/半導體)市場:按應用、產品和國家分類的分析和預測(2023-2028)

Asia-Pacific AI and Semiconductors - A Server GPU Market: Focus on Application, Product, and Country - Analysis and Forecast, 2023-2028

出版日期: | 出版商: BIS Research | 英文 72 Pages | 商品交期: 1-5個工作天內

價格

亞太地區伺服器 GPU(人工智慧/半導體)市場規模預計將從 2023 年的 32.842 億美元增至 2028 年的 141.71 億美元,預測期內複合年成長率為 33.97%。

邊緣運算的興起使得資料能夠在更靠近資料來源的地方進行處理,而不是僅僅依賴集中式雲端伺服器,這推動了對 GPU 伺服器的需求。此外,資料中心和企業環境中虛擬的成長趨勢也是推動 GPU 伺服器需求的主要因素。

主要市場統計數據
預測期 2023-2028
2023年評估 32.842 億美元
2028年預測 141.71億美元
複合年成長率 33.97%

由於幾個關鍵因素,亞太地區伺服器 GPU(人工智慧/半導體)市場正在經歷快速成長。邊緣運算能夠在更接近資料來源的位置處理資料,其普及極大地推動了對高效能 GPU 伺服器的需求。此外,資料中心和企業環境中虛擬的成長趨勢正在推動市場擴張。該地區專注於汽車、醫療保健和金融等多個領域的人工智慧開發和整合,進一步增加了對先進 GPU 解決方案的需求。政府舉措和對技術基礎設施的重大投資也支持了市場成長。亞太地區的領先公司正在投資創新 GPU 技術,以滿足不斷成長的需求,確保持續的市場擴張和技術進步。

市場分類:

第 1 部分:按應用程式(最終用戶)

  • 雲端運算
  • 高效能運算應用

第 2 部分:依產品類型(配置類型)

  • 單GPU
  • 雙/四 GPU
  • 高密度GPU

第 3 部分:按國家分類

  • 日本
  • 中國
  • 印度
  • 澳洲
  • 新加坡
  • 其他

該報告調查了亞太地區伺服器GPU(人工智慧/半導體)市場,並提供了有關行業趨勢、生態系統、正在進行的計劃、市場成長促進因素和限制因素、市場規模趨勢和預測、各個細分市場的資訊,我們按地區/主要進行了詳細分析國家、競爭格局、主要企業概況等

目錄

調查範圍

執行摘要

第1章 市場

  • 產業展望
    • 持續趨勢
    • 設備升級和製程改進
    • 用於不斷發展的伺服器容量的自適應冷卻解決方案
    • 資料中心最終使用者預算和採購模型
    • 相關利益者分析
    • 生態系統/正在進行的計劃
  • 業務動態
    • 業務促進因素
    • 業務挑戰
    • 市場策略/發展
    • 商業機遇

第2章 區域

  • 亞太地區
    • 亞太地區(按國家/地區)

第3章市場:競爭基準化分析/公司簡介

  • 競爭基準化分析
  • 市場佔有率分析
    • 顯示卡製造商
    • GPU伺服器製造商
  • 公司簡介
    • 伺服器GPU製造商

第4章調查方法

Product Code: MS02149SS

Introduction to Asia-Pacific AI and Semiconductors - A Server GPU Market

The Asia-Pacific AI and semiconductor - a server GPU market accounted for $3,284.2 million in 2023 and is expected to grow at a CAGR of 33.97% and reach $14,171.0 million by 2028. The rise of edge computing, which processes data near its source instead of relying solely on centralized cloud servers, is fueling the demand for GPU servers. Additionally, the growing trend of virtualization in data centers and enterprise environments is a major factor driving the need for GPU servers.

KEY MARKET STATISTICS
Forecast Period2023 - 2028
2023 Evaluation$3,284.2 Million
2028 Forecast$14,171.0 Million
CAGR33.97%

Market Introduction

The Asia-Pacific AI and semiconductors market, particularly for server GPUs, is experiencing rapid growth driven by several key factors. The proliferation of edge computing, which processes data near its source, is significantly boosting the demand for high-performance GPU servers. Additionally, the increasing trend toward virtualization in data centers and enterprise environments is propelling market expansion. The region's strong focus on AI development and integration across various sectors, including automotive, healthcare, and finance, is further enhancing the need for advanced GPU solutions. Government initiatives and substantial investments in technology infrastructure are also supporting market growth. Leading companies in the APAC region are investing in innovative GPU technologies to meet the rising demand, ensuring the market's continued expansion and technological advancement.

Market Segmentation:

Segmentation 1: by Application (End User)

  • Cloud Computing
  • HPC Application

Segmentation 2: by Product (Configuration Type)

  • Single GPU
  • Dual to Quad GPU
  • High-Density GPU

Segmentation 3: by Country

  • Japan
  • China
  • India
  • Australia
  • Singapore
  • Rest-of-Asia-Pacific

How can this report add value to an organization?

Product/Innovation Strategy: In the ever-evolving realm of server GPU technology, notable advancements are reshaping the landscape, with a focus on optimizing data center performance. Leveraging cutting-edge solutions, including AI-driven analytics and real-time monitoring platforms, server GPU technology offers intricate insights into server health, workload management, and resource utilization. Innovations such as advanced data center cooling techniques contribute to efficient temperature regulation, ensuring optimal server functionality. The market encompasses a diverse range of solutions, from high-performance computing platforms to precision cooling systems, enabling businesses to elevate operational efficiency and minimize resource utilization effectively.

Growth/Marketing Strategy: The AI and semiconductor - a server GPU market has experienced notable growth strategies adopted by key players. Business expansions, collaborations, and partnerships have played a crucial role. Companies are expanding their reach to multiple markets, establishing alliances, and entering research collaborations to strengthen their technological capabilities. Collaborative initiatives between technology companies and domain experts are propelling the advancement of cutting-edge monitoring tools. Furthermore, strategic joint ventures are facilitating the integration of diverse expertise, significantly enhancing the market presence of these solutions. This collaborative approach is pivotal in creating comprehensive, user-friendly, and efficient server GPU solutions.

Competitive Strategy: In the dynamic realm of the AI and semiconductor - a server GPU market, manufacturers are expanding their product portfolios to cater to diverse computing needs and applications. Rigorous competitive benchmarking reveals the distinct strengths of market players, highlighting their unique solutions and regional expertise. Strategic collaborations with research institutions and technology organizations are pivotal drivers of innovation, shaping the evolution of the server GPU landscape.

Table of Contents

Scope of the Study

Executive Summary

1 Market

  • 1.1 Industry Outlook
    • 1.1.1 Ongoing Trends
      • 1.1.1.1 Timeline of GPU and Server Design Upgrades
      • 1.1.1.2 Data Center Capacities: Current and Future
      • 1.1.1.3 Data Center Power Consumption Scenario
      • 1.1.1.4 Other Industrial Trends
        • 1.1.1.4.1 HPC Cluster Developments
        • 1.1.1.4.2 Blockchain Initiatives
        • 1.1.1.4.3 Super Computing
        • 1.1.1.4.4 5G and 6G Developments
        • 1.1.1.4.5 Impact of Server/Rack Density
    • 1.1.2 Equipment Upgrades and Process Improvements
    • 1.1.3 Adaptive Cooling Solutions for Evolving Server Capacities
      • 1.1.3.1 Traditional Cooling Techniques
      • 1.1.3.2 Hot and Cold Aisle Containment
      • 1.1.3.3 Free Cooling and Economization
      • 1.1.3.4 Liquid Cooling Systems
    • 1.1.4 Budget and Procurement Model of Data Center End Users
    • 1.1.5 Stakeholder Analysis
      • 1.1.5.1 Value Chain Analysis
    • 1.1.6 Ecosystem/Ongoing Programs
      • 1.1.6.1 Consortiums, Associations, and Regulatory Bodies
  • 1.2 Business Dynamics
    • 1.2.1 Business Drivers
      • 1.2.1.1 Surging Demand for Cryptocurrency Mining
      • 1.2.1.2 Rising Enterprise Adoption of Data Center GPUs for High-Performance Computing Applications
    • 1.2.2 Business Challenges
      • 1.2.2.1 High Bargaining Power of GPU Manufacturers
    • 1.2.3 Market Strategies and Developments
    • 1.2.4 Business Opportunities
      • 1.2.4.1 Technological Advancement in High-Performing Computing (HPC)
      • 1.2.4.2 Government Support for Smart City Development and Digitalization

2 Region

  • 2.1 Asia-Pacific
    • 2.1.1 Asia-Pacific (by Country)
      • 2.1.1.1 Japan
      • 2.1.1.2 China
      • 2.1.1.3 Australia
      • 2.1.1.4 Singapore
      • 2.1.1.5 India
      • 2.1.1.6 Rest-of-Asia-Pacific

3 Markets - Competitive Benchmarking & Company Profiles

  • 3.1 Competitive Benchmarking
  • 3.2 Market Share Analysis
    • 3.2.1 By GPU Manufacturer
    • 3.2.2 By GPU Server Manufacturer
  • 3.3 Company Profiles
    • 3.3.1 Server GPU Manufacturer
      • 3.3.1.1 ASUSTeK Computer Inc.
        • 3.3.1.1.1 Company Overview
        • 3.3.1.1.2 Product and Customer Portfolio Analysis
      • 3.3.1.2 INSPUR Co., Ltd.
        • 3.3.1.2.1 Company Overview
        • 3.3.1.2.2 Product and Customer Portfolio Analysis
      • 3.3.1.3 Huawei Technologies Co., Ltd.
        • 3.3.1.3.1 Company Overview
        • 3.3.1.3.2 Product and Customer Portfolio Analysis
      • 3.3.1.4 GIGA-BYTE Technology Co., Ltd.
        • 3.3.1.4.1 Company Overview
        • 3.3.1.4.2 Product and Customer Portfolio Analysis
      • 3.3.1.5 Advantech Co., Ltd.
        • 3.3.1.5.1 Company Overview
        • 3.3.1.5.2 Product and Customer Portfolio Analysis
      • 3.3.1.6 Fujitsu
        • 3.3.1.6.1 Company Overview
        • 3.3.1.6.2 Product and Customer Portfolio Analysis

4 Research Methodology

  • 4.1 Primary Data Sources
  • 4.2 Secondary Data Sources
  • 4.3 Market Estimation and Forecast

List of Figures

  • Figure 1: Asia-Pacific AI and Semiconductors - A Server GPU Market, $Billion, 2022-2028
  • Figure 2: Asia-Pacific AI and Semiconductors - A Server GPU Market (by End User), $Billion, 2022-2028
  • Figure 3: Asia-Pacific AI and Semiconductors - A Server GPU Market (by Facility Type), $Billion, 2022-2028
  • Figure 4: Asia-Pacific AI and Semiconductors - A Server GPU Market (by Configuration Type), $Billion, 2022-2028
  • Figure 5: Asia-Pacific AI and Semiconductors - A Server GPU Market (by Form Factor), $Billion, 2022-2028
  • Figure 6: AI and Semiconductors - A Server GPU Market (by Region), $Million, 2022
  • Figure 7: Nvidia's Official Roadmap
  • Figure 8: Domestic Electricity Consumption of Different Selected Countries vs. Data Centers in 2020 in TWh
  • Figure 9: HPC Cluster Project Growth, 2019-2020
  • Figure 10: Crypto Transaction Volume Growth, 2020-2022
  • Figure 11: Distribution of 500 Supercomputers, June 2019
  • Figure 12: Average Server Rack Density in Data Center, 2016-2020
  • Figure 13: Ripple Effects in Server GPU Market due to Equipment Upgradation and Process Improvements
  • Figure 14: Stakeholder Analysis
  • Figure 15: Value Chain Analysis
  • Figure 16: Cryptocurrency Ownership by Country, 2021-2022
  • Figure 17: Dynamics of Data Generation, Replication, and Utilization, 2019-2023
  • Figure 18: Share of Key Market Strategies and Developments, 2019-2023
  • Figure 19: Product Development and Innovations (by Company)
  • Figure 20: Partnerships, Collaborations, Joint Ventures, and Alliances
  • Figure 21: Competitive Benchmarking Matrix for Key AI and Semiconductors - A Server GPU Manufacturers
  • Figure 22: Competitive Benchmarking Matrix for Key AI and Semiconductors - A Server GPU Server Manufacturers
  • Figure 23: Market Share Analysis of AI and Semiconductors - A Server GPU Market (by GPU Manufacturer), 2022
  • Figure 24: Market Share Analysis of AI and Semiconductors - A Server GPU Market (by GPU Server Manufacturer), 2022
  • Figure 25: AI and Semiconductors - A Server GPU Market: Research Methodology
  • Figure 26: Data Triangulation
  • Figure 27: Top-Down and Bottom-Up Approach
  • Figure 28: Assumptions and Limitations

List of Tables

  • Table 1: Summary of Trends
  • Table 2: Comparison of Air Cooling and Liquid Cooling
  • Table 3: Comparison between Cost-Sensitive Buyers and Premium/High-End Buyers
  • Table 4: Key Consortiums, Associations, and Regulatory Bodies in the AI and Semiconductors - A Server GPU Market