亚太伺服器GPU(人工智慧/半导体)市场:按应用、产品和国家分类的分析和预测(2023-2028)
市场调查报告书
商品编码
1498723

亚太伺服器GPU(人工智慧/半导体)市场:按应用、产品和国家分类的分析和预测(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个工作天内

价格

亚太地区伺服器 GPU(人工智慧/半导体)市场规模预计将从 2023 年的 32.842 亿美元增至 2028 年的 141.71 亿美元,预测期内复合年增长率为 33.97%。

边缘运算的兴起使得资料能够在更靠近资料来源的地方进行处理,而不是仅仅依赖集中式云端伺服器,这推动了对 GPU 伺服器的需求。此外,资料中心和企业环境中虚拟的成长趋势也是推动 GPU 伺服器需求的主要因素。

主要市场统计数据
预测期 2023-2028
2023年评估 32.842 亿美元
2028年预测 141.71亿美元
复合年增长率 33.97%

由于几个关键因素,亚太地区伺服器 GPU(人工智慧/半导体)市场正在经历快速成长。边缘运算能够在更接近资料来源的位置处理资料,其普及极大地推动了对高效能 GPU 伺服器的需求。此外,资料中心和企业环境中虚拟的成长趋势正在推动市场扩张。该地区专注于汽车、医疗保健和金融等多个领域的人工智慧开发和集成,进一步增加了对先进 GPU 解决方案的需求。政府倡议和对技术基础设施的重大投资也支持了市场成长。亚太地区的领先公司正在投资创新 GPU 技术,以满足不断增长的需求,确保持续的市场扩张和技术进步。

市场分类:

第 1 部分:按应用程式(最终用户)

  • 云端运算
  • 高效能运算应用

第 2 部分:依产品类型(配置类型)

  • 单GPU
  • 双/四 GPU
  • 高密度GPU

第 3 部分:按国家划分

  • 日本
  • 中国
  • 印度
  • 澳洲
  • 新加坡
  • 其他的

该报告调查了亚太地区伺服器GPU(人工智慧/半导体)市场,并提供了有关行业趋势、生态系统、正在进行的计划、市场成长驱动因素和限制因素、市场规模趋势和预测、各个细分市场的信息,我们按地区/主要进行了详细分析国家、竞争格局、主要企业概况等

目录

调查范围

执行摘要

第一章 市场

  • 产业展望
    • 持续趋势
    • 设备升级和製程改进
    • 用于不断发展的伺服器容量的自适应冷却解决方案
    • 资料中心最终使用者预算和采购模型
    • 相关利益者分析
    • 生态系统/正在进行的计划
  • 业务动态
    • 业务促进因素
    • 业务挑战
    • 市场策略/发展
    • 商业机会

第二章 区域

  • 亚太地区
    • 亚太地区(按国家/地区)

第三章市场:竞争基准化分析/公司简介

  • 竞争基准化分析
  • 市场占有率分析
    • 显示卡製造商
    • GPU伺服器製造商
  • 公司简介
    • 伺服器GPU製造商

第四章调查方法

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