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市场调查报告书
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人工智慧伺服器市场（按处理器、最终用户、应用和配置模式）—2025-2030 年全球预测

AI Server Market by Processor, End-User, Application, Deployment Mode - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 188 Pages | 商品交期: 最快1-2个工作天内

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预计到2024年AI伺服器市场规模将达到504.8亿美元，到2025年将达到597.8亿美元，复合年增长率为19.58%，到2030年将达到1476.5亿美元。

主要市场统计数据
基准年2024年 504.8亿美元
预计2025年 597.8亿美元
预测年份 2030 1476.5亿美元
复合年增长率（%） 19.58%

人工智慧技术的演进正在开启运算的新时代，AI伺服器正成为数位转型的中坚力量。在一个以动态进步和不断追求效率为特征的行业中，AI伺服器市场处于创新的前沿。世界各地的组织都依赖这些强大的伺服器来推动资料驱动的决策并支援复杂的机器学习业务。本报告对当前情况进行了全面的分析，强调了主要趋势、不断变化的市场动态以及重新定义竞争格局的策略考量。

最近的趋势是先进的硬体架构和最佳化的软体框架快速融合，以增强 AI 伺服器的效能和可扩展性。现在，决策者比以往任何时候都更加重视了解分散式架构和云端基础的解决方案如何重塑传统运算模型。随着全球企业继续其数位转型之旅，他们需要的解决方案不仅要满足当今的处理要求，还要预测未来人工智慧主导世界的需求。

本介绍为深入探索市场奠定了基础，在该市场中，突破性技术采用和策略投资之间的相互作用正在创造新的机会和挑战。报告的后续部分将更深入探讨塑造AI伺服器领域的力量，结合市场区隔、区域分析、公司洞察和可操作的建议，为产业领导者和相关人员提供丰富的观点。

变革AI伺服器市场

AI伺服器市场正经历变革时期，这将大大改变产业格局。处理器架构的尖端进步以及人工智慧演算法的不断发展正在重新定义运算能力。随着越来越多的企业转向混合和分散式基础设施，传统的集中式资料中心模式正在被重新评估。这种转变是由于人们更加重视自适应资源管理和网路敏捷性，以优化效能并降低营运成本。

推动这一演变的关键因素包括云端基础的基础设施的整合和边缘运算的加速。这些因素使得能够以最小的延迟更快地提供服务，这对于需要即时处理的应用程式来说是一个关键要求。此外，人工智慧分析的日益普及正在推动创新运算模型的采用，其中伺服器不仅可以处理数据，还可以近乎即时地学习和适应。

此外，为了满足全球对环保解决方案的需求，产业参与者正在增加对再生能源来源和永续技术的投资。从传统运算系统向提供更高吞吐量和更高能源效率的更强大平台的转变正在为更具弹性和响应能力的市场铺平道路。随着传统模式逐渐走向以人工智慧和机器学习为主导的未来，企业发现自己正处于一个关键的十字路口，转型不再是一种选择，而是生存和竞争力的必需品。

AI伺服器市场的关键细分洞察

仔细观察市场区隔可以发现层次复杂的情况，有助于全面了解人工智慧伺服器领域。基于处理器的分析突显了多样化的技术生态系统，其中市场涉及专用积体电路、现场可编程闸阵列阵列和图形处理单元。这些处理器各自以不同的方式推动创新，提供独特的功能来满足特定的运算需求。

透过最终用户的细分，市场分析进一步加深了这种理解，其中考虑了云端服务供应商、企业和政府机构的不同需求。每个客户群都有自己独特的挑战和要求，从对扩充性和灵活架构的需求到在日益增长的网路威胁中加强安全通讯协定。这些最终用户是人工智慧伺服器部署和进步的关键支柱，他们重视客製化和营运效率。

特定应用市场细分研究检验了电脑视觉、生成人工智慧、机器学习和自然语言处理等领域的技术基础。在这里，创新是由即时处理大量数据的需求驱动的，从而实现自主系统、预测分析和会话人工智慧的突破。这些应用的快速普及表明，专业的人工智慧解决方案正在对各个行业产生深远的影响，刺激成长和技术融合。

最后，按云端基础和内部部署类型的细分突出了 AI 伺服器解决方案的灵活性和适应性，以满足不同的操作偏好。虽然云端基础的配置保证了扩充性和减少维护开销，但对于需要增强资料安全性和低延迟的组织来说，内部部署系统仍然至关重要。这些细分洞察形成了一个多维框架，不仅反映了当前的市场格局，而且还为未来的创新和扩张提供了蓝图。

目录

第一章 引言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 越来越多地使用人工智慧来提供个人化的用户体验
      • 企业应用中人工智慧技术的采用日益增多
      • 各个领域对可扩展资料储存解决方案的需求日益增长。
    • 限制因素
      • 不断增加的能源成本和热挑战
    • 机会
      • 利用人工智慧技术加强金融机构的网路安全措施
      • 人工智慧和机器学习的进步
    • 任务
      • 由于潜在的漏洞和网路威胁，人们对人工智慧伺服器的安全性感到担忧
  • 市场区隔分析
    • 处理器：GPU 因其灵活性和扩充性而广泛用于复杂的 AI 运算
    • 应用：由于汽车和医疗保健领域的广泛应用，电脑视觉领域对人工智慧伺服器的采用正在激增
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第六章：AI 伺服器市场（按处理器）

  • 专用积体电路（ASIC）
  • 现场可程式闸阵列（FPGA）
  • 图形处理单元 (GPU)

第七章 AI 伺服器市场（按最终用户）

  • 云端服务供应商
  • 企业
  • 政府

第八章 AI 伺服器市场（按应用）

  • 电脑视觉
  • 生成式人工智慧（GenAI）
  • 机器学习
  • 自然语言处理

第九章 AI 伺服器市场（依部署模式）

  • 云端基础
  • 本地

第 10 章：美洲人工智慧伺服器市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十一章 亚太地区AI伺服器市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第 12 章欧洲、中东和非洲 AI 伺服器市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十三章竞争格局

  • 2024年市场占有率分析
  • 2024年FPNV定位矩阵
  • 竞争情境分析
  • 战略分析与建议

公司名单

  • ADLINK Technology Inc.
  • Advanced Micro Devices, Inc.
  • ASUSTeK Computer Inc.
  • Baidu, Inc.
  • Cerebras Systems Inc.
  • Cisco Systems, Inc.
  • Dataknox Solutions, Inc.
  • Dell Inc.
  • Fujitsu Limited
  • GeoVision Inc.
  • Hewlett Packard Enterprise Company
  • Huawei Technologies Co., Ltd.
  • IEIT SYSTEMS
  • Inspur Group
  • Intel Corporation
  • Lenovo
  • M247 Europe SRL
  • Microsoft Corporation
  • MiTAC Computing Technology Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Quanta Computer lnc.
  • SNS Network
  • Super Micro Computer, Inc.
  • Wistron Corporation
Product Code: MRR-5D340F440BB2

The AI Server Market was valued at USD 50.48 billion in 2024 and is projected to grow to USD 59.78 billion in 2025, with a CAGR of 19.58%, reaching USD 147.65 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 50.48 billion
Estimated Year [2025] USD 59.78 billion
Forecast Year [2030] USD 147.65 billion
CAGR (%) 19.58%

The evolution of artificial intelligence technologies has ushered in a new era in computing, where AI servers are increasingly becoming the backbone of digital transformation. In an industry characterized by dynamic advancements and the relentless pursuit of efficiency, the AI server market stands at the forefront of innovation. Organizations around the globe are leveraging these powerful servers to drive data-centric decisions and support complex machine learning operations. This report provides a comprehensive analysis of the current landscape, addressing key trends, shifts in market dynamics, and strategic insights that are redefining the competitive environment.

In recent years, rapid developments have seen the integration of advanced hardware architectures and optimized software frameworks that together enhance the performance and scalability of AI servers. Decision-makers are now more than ever focused on understanding how distributed architectures and cloud-based solutions are reshaping traditional computing models. As global businesses continue their digital transformation journeys, they are seeking out solutions that not only meet today's processing requirements but also anticipate the demands of tomorrow's AI-driven world.

This introduction sets the stage for a detailed exploration of the market, where the interplay between groundbreaking technology adoption and strategic investments is creating new opportunities and challenges in equal measure. The following sections of this report delve deeper into the forces shaping the AI server sector, combining market segmentation, regional analysis, company insights, and actionable recommendations to provide a well-rounded perspective for industry leaders and stakeholders.

Transformative Shifts in the AI Server Landscape

The AI server market is undergoing transformative shifts that are markedly changing the industry landscape. Cutting-edge advancements in processor architectures, along with the continuous evolution of AI algorithms, have led to a redefinition of computational capabilities. Traditional paradigms of centralized data centers are being reevaluated as more businesses shift toward hybrid and distributed infrastructures. This transition is influenced by a growing emphasis on adaptive resource management and network agility, allowing organizations to optimize performance while reducing operational costs.

Major factors contributing to this evolution include the integration of cloud-based infrastructures and the acceleration of edge computing. These drivers are making it possible for services to be delivered with increased speed and minimal latency, an essential requirement for applications that demand real-time processing. The rising popularity of AI-driven analytics has also encouraged the adoption of innovative computing models where servers are not only responsible for data processing but also for learning and adapting in near real time.

Moreover, industry players are increasingly investing in renewable energy sources and sustainable technologies to meet global demands for eco-friendly solutions. The shift from legacy computing systems to more robust platforms, which offer higher throughput and better energy efficiency, is paving the way for a more resilient and responsive market. As traditional models give way to a future dominated by AI and machine learning, businesses are finding themselves at a pivotal juncture where transformation is not optional but essential for survival and competitiveness.

Key Segmentation Insights in the AI Server Market

A closer look at the market segmentation reveals intricate layers that help in understanding the AI server domain from multiple perspectives. The analysis based on processors highlights the diverse technological ecosystem wherein the market is studied across Application-Specific Integrated Circuits, Field Programmable Gate Arrays, and Graphics Processing Units. Each of these processor types drives innovation in different ways, offering unique capabilities that cater to specific computational demands.

Segmentation by end-user further refines this understanding, with market analysis considering the distinct needs of Cloud Service Providers, Enterprises, and Government Organizations. Each customer segment brings its own set of challenges and requirements, from the need for scalable and flexible architectures to enhanced security protocols amidst increasing cyber threats. These end-users represent critical pillars upon which the deployment and advancement of AI servers are built, emphasizing customization and operational efficiency.

The study of market segmentation by application examines the technological underpinnings within domains such as Computer Vision, Generative AI, Machine Learning, and Natural Language Processing. Here, innovation is driven by the need to process vast amounts of data in real time, enabling breakthroughs in autonomous systems, predictive analytics, and conversational AI. The rapid uptake of these applications illustrates the profound impact that specialized AI solutions have had on diverse industries, catalyzing growth and technological convergence.

Finally, the segmentation by deployment mode-whether cloud-based or on-premises-sheds light on the flexibility and adaptability of AI server solutions in meeting varied operational preferences. While cloud-based deployments promise scalability and reduced maintenance overhead, on-premises systems remain essential for organizations that require enhanced data security and lower latency. Together, these segmentation insights form a multi-dimensional framework that not only reflects the current market conditions but also provides a roadmap for future innovation and expansion.

Based on Processor, market is studied across Application-Specific Integrated Circuit (ASICs), Field Programmable Gate Arrays (FPGAs), and Graphics Processing Units (GPUs).

Based on End-User, market is studied across Cloud Service Providers, Enterprises, and Goverment Organizations.

Based on Application, market is studied across Computer Vision, Generative AI (GenAI), Machine Learning, and Natural Language Processing.

Based on Deployment Mode, market is studied across Cloud-Based and On-Premises.

Regional Insights: Americas, EMEA, Asia-Pacific

Examining geographic trends further enriches the overall market perspective. The Americas continue to be a key driver in technology innovation, benefiting from robust investments in digital infrastructure and a well-established startup ecosystem. This region's dynamic business environment positions it as a fertile ground for the early adoption of advanced server technologies, enabling rapid prototyping and market validation.

The landscape in Europe, the Middle East, and Africa is characterized by progressive regulatory frameworks and government-led initiatives aimed at fostering digital transformation and cybersecurity. Here, the balance between regulatory oversight and the acceleration of technology deployment creates both opportunities and challenges for industry stakeholders. The region's strategic focus on innovation, combined with its diverse economic terrain, has spurred a significant increase in AI server deployments aimed at modernizing public and private sector IT infrastructures.

In contrast, the Asia-Pacific region is witnessing an exponential expansion in technology investments, underpinned by a high demand for scalable and sophisticated computing solutions. Rapid urbanization, coupled with massive investments in smart city projects and digitalization initiatives, has made this region a critical area of interest. As nations within this region push for homegrown technological innovations, competitive pressures are driving both local and international businesses to enhance their service offerings to meet and exceed evolving consumer expectations. The interplay between these regions creates a globally connected market that continues to set the stage for emerging trends and collaborative opportunities.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Leading Companies Shaping the AI Server Market

An analysis of the key companies driving the AI server market illustrates a rich tapestry of innovation and competitive vigor. Prominent players including ADLINK Technology Inc., Advanced Micro Devices, Inc., and ASUSTeK Computer Inc. are known for their relentless pursuit of technological excellence, each contributing uniquely to the ecosystem. Their efforts in research and development have laid the groundwork for improved computational performance and reduced latency.

Corporations such as Baidu, Inc. and Cerebras Systems Inc. are at the forefront of specialized AI applications, pushing the envelope in machine learning and deep learning capabilities. Industry giants like Cisco Systems, Inc., Dataknox Solutions, Inc., and Dell Inc. leverage robust infrastructure networks and cutting-edge server architectures, which in turn drive an era of unprecedented connectivity and data-driven decision-making. These organizations continuously refine their product roadmaps to meet evolving market demands.

Global leaders including Fujitsu Limited, GeoVision Inc., Hewlett Packard Enterprise Company, Huawei Technologies Co., Ltd., and IEIT SYSTEMS are instrumental in bridging the gap between legacy systems and next-generation computing platforms. Their expertise in both hardware and software integration ensures that enterprises are well-equipped to handle increasingly complex workloads. Inspiring further innovation, Inspur Group and Intel Corporation develop tailored solutions that cater to specific industry verticals, ensuring rapid and seamless technology integration.

Other influential companies such as Lenovo, M247 Europe S.R.L., Microsoft Corporation, MiTAC Computing Technology Corporation, NVIDIA Corporation, Oracle Corporation, Quanta Computer Inc., SNS Network, Super Micro Computer, Inc., and Wistron Corporation play strategic roles in setting market trends and accelerating technological advancements. Their collective focus not only fosters greater interoperability between devices and platforms but also ensures the sustainability and future-readiness of the AI server market. Together, these leaders are forging alliances and setting benchmarks that continue to redefine the landscape in meaningful ways.

The report delves into recent significant developments in the AI Server Market, highlighting leading vendors and their innovative profiles. These include ADLINK Technology Inc., Advanced Micro Devices, Inc., ASUSTeK Computer Inc., Baidu, Inc., Cerebras Systems Inc., Cisco Systems, Inc., Dataknox Solutions, Inc., Dell Inc., Fujitsu Limited, GeoVision Inc., Hewlett Packard Enterprise Company, Huawei Technologies Co., Ltd., IEIT SYSTEMS, Inspur Group, Intel Corporation, Lenovo, M247 Europe S.R.L., Microsoft Corporation, MiTAC Computing Technology Corporation, NVIDIA Corporation, Oracle Corporation, Quanta Computer lnc., SNS Network, Super Micro Computer, Inc., and Wistron Corporation. Actionable Recommendations for Industry Leaders

For industry leaders looking to position their organizations at the helm of the AI server revolution, a series of strategic recommendations is essential to navigate this rapidly evolving landscape. The first imperative is to invest in agile research and development programs that support iterative innovation. By continuously upgrading technology and integrating advanced computing architectures, companies can ensure that they remain resilient in the face of escalating market demands.

Leadership should focus on fostering cross-functional collaboration to bridge the gap between theoretical research and practical application. This includes establishing partnerships between technology developers, academic institutions, and business strategists to drive thought leadership and regulatory compliance concurrently. Emphasizing customer-centric innovation is crucial; organizations must listen to the needs and challenges of their end-users to tailor solutions that are both robust and adaptable.

It is also recommended that companies incorporate sustainable practices into their operational blueprint. Energy-efficient server designs and a commitment to reducing the carbon footprint are no longer just ethical considerations but strategic necessities in today's environmentally conscious market. Digital transformation initiatives should be paired with a strong cybersecurity framework to ensure data integrity and customer trust.

Finally, industry leaders are advised to keep a close watch on emerging trends in deployment modes, customer segmentation, and regional market behaviors. By proactively adapting to these evolving parameters, organizations can better anticipate market shifts and streamline their product roadmaps for long-term success. Taking calculated risks and driving innovation through both internal and external collaborations remain key pillars in achieving a competitive edge.

Conclusion and Strategic Perspective

The rapidly evolving world of AI servers is a mirror to the broader changes sweeping across the digital landscape. As businesses continue to invest in smarter, more efficient computing solutions, the integration of cutting-edge technologies and evolving market trends becomes ever more critical. The insights presented in this report underscore the pivotal role of sophisticated hardware, flexible deployment options, and a deep understanding of end-user needs in shaping the future of the market.

From transformative shifts in technology and evolving regional dynamics to nuanced segmentation insights and the concerted efforts of global industry leaders, the market is characterized by both immense opportunities and complex challenges. The adoption of AI servers has not only redefined traditional computing paradigms but has also set the stage for a disruptive new era in digital transformation. This evolution calls for strategic foresight, sustained investment in innovation, and a commitment to operational excellence.

The convergence of advanced processing units, dynamic cloud services, and specialized applications such as computer vision and natural language processing is a testament to the transformative impact that technology can have on global business operations. As companies align their strategies with these developments, they are better positioned to leverage new market opportunities and maintain a competitive edge. In essence, the lessons derived from our analysis point towards a future where adaptability and innovation are the cornerstones of industry success.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increased use of AI in personalized user experiences
      • 5.1.1.2. Rising implementation of artificial intelligence technologies in enterprise applications
      • 5.1.1.3. Growing demand for scalable data storage solutions in various sectors
    • 5.1.2. Restraints
      • 5.1.2.1. Increased energy costs and thermal challenges
    • 5.1.3. Opportunities
      • 5.1.3.1. Leveraging AI technologies for enhanced cybersecurity measures in financial institutions
      • 5.1.3.2. Advancements in AI and machine learning
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns about AI server security with potential vulnerabilities and cyber threats
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Processor : High popularity of GPUs for complex AI computations owing to their flexibility and scalability
    • 5.2.2. Application : Significant adoption of AI servers in computer vision due to its proliferation in automotive and healthcare
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. AI Server Market, by Processor

  • 6.1. Introduction
  • 6.2. Application-Specific Integrated Circuit (ASICs)
  • 6.3. Field Programmable Gate Arrays (FPGAs)
  • 6.4. Graphics Processing Units (GPUs)

7. AI Server Market, by End-User

  • 7.1. Introduction
  • 7.2. Cloud Service Providers
  • 7.3. Enterprises
  • 7.4. Goverment Organizations

8. AI Server Market, by Application

  • 8.1. Introduction
  • 8.2. Computer Vision
  • 8.3. Generative AI (GenAI)
  • 8.4. Machine Learning
  • 8.5. Natural Language Processing

9. AI Server Market, by Deployment Mode

  • 9.1. Introduction
  • 9.2. Cloud-Based
  • 9.3. On-Premises

10. Americas AI Server Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific AI Server Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa AI Server Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2024
  • 13.2. FPNV Positioning Matrix, 2024
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. NationGate pioneers Malaysia's first AI servers, enhancing local tech innovation and economic growth
    • 13.3.2. Qubrid AI and Supermicro enhance enterprise AI with plug-and-play NVIDIA GPU server solutions
    • 13.3.3. HPE and Dell advance AI infrastructure with cutting-edge servers optimizing performance and efficiency
    • 13.3.4. Lenovo's strategic move to manufacture AI servers in India signals a shift in global tech production
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. ADLINK Technology Inc.
  • 2. Advanced Micro Devices, Inc.
  • 3. ASUSTeK Computer Inc.
  • 4. Baidu, Inc.
  • 5. Cerebras Systems Inc.
  • 6. Cisco Systems, Inc.
  • 7. Dataknox Solutions, Inc.
  • 8. Dell Inc.
  • 9. Fujitsu Limited
  • 10. GeoVision Inc.
  • 11. Hewlett Packard Enterprise Company
  • 12. Huawei Technologies Co., Ltd.
  • 13. IEIT SYSTEMS
  • 14. Inspur Group
  • 15. Intel Corporation
  • 16. Lenovo
  • 17. M247 Europe S.R.L.
  • 18. Microsoft Corporation
  • 19. MiTAC Computing Technology Corporation
  • 20. NVIDIA Corporation
  • 21. Oracle Corporation
  • 22. Quanta Computer lnc.
  • 23. SNS Network
  • 24. Super Micro Computer, Inc.
  • 25. Wistron Corporation

LIST OF FIGURES

  • FIGURE 1. AI SERVER MARKET MULTI-CURRENCY
  • FIGURE 2. AI SERVER MARKET MULTI-LANGUAGE
  • FIGURE 3. AI SERVER MARKET RESEARCH PROCESS
  • FIGURE 4. AI SERVER MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL AI SERVER MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL AI SERVER MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AI SERVER MARKET SIZE, BY PROCESSOR, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL AI SERVER MARKET SIZE, BY PROCESSOR, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AI SERVER MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL AI SERVER MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AI SERVER MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL AI SERVER MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. AMERICAS AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 17. AMERICAS AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. UNITED STATES AI SERVER MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 19. UNITED STATES AI SERVER MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 21. ASIA-PACIFIC AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. AI SERVER MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 25. AI SERVER MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. AI SERVER MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL AI SERVER MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AI SERVER MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AI SERVER MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AI SERVER MARKET DYNAMICS
  • TABLE 7. GLOBAL AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AI SERVER MARKET SIZE, BY APPLICATION-SPECIFIC INTEGRATED CIRCUIT (ASICS), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AI SERVER MARKET SIZE, BY FIELD PROGRAMMABLE GATE ARRAYS (FPGAS), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AI SERVER MARKET SIZE, BY GRAPHICS PROCESSING UNITS (GPUS), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AI SERVER MARKET SIZE, BY CLOUD SERVICE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AI SERVER MARKET SIZE, BY ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AI SERVER MARKET SIZE, BY GOVERMENT ORGANIZATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AI SERVER MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AI SERVER MARKET SIZE, BY GENERATIVE AI (GENAI), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AI SERVER MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AI SERVER MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AI SERVER MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AI SERVER MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. AMERICAS AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 24. AMERICAS AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 25. AMERICAS AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 26. AMERICAS AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS AI SERVER MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 28. ARGENTINA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 29. ARGENTINA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 30. ARGENTINA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 31. ARGENTINA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 32. BRAZIL AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 33. BRAZIL AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 34. BRAZIL AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 35. BRAZIL AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 36. CANADA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 37. CANADA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 38. CANADA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 39. CANADA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 40. MEXICO AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 41. MEXICO AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. MEXICO AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 43. MEXICO AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 44. UNITED STATES AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 45. UNITED STATES AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 46. UNITED STATES AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 47. UNITED STATES AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 48. UNITED STATES AI SERVER MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 49. ASIA-PACIFIC AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 50. ASIA-PACIFIC AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 51. ASIA-PACIFIC AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 52. ASIA-PACIFIC AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 53. ASIA-PACIFIC AI SERVER MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 54. AUSTRALIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 55. AUSTRALIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 56. AUSTRALIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. AUSTRALIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 58. CHINA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 59. CHINA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 60. CHINA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 61. CHINA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 62. INDIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 63. INDIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 64. INDIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 65. INDIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 66. INDONESIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 67. INDONESIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 68. INDONESIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. INDONESIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 70. JAPAN AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 71. JAPAN AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 72. JAPAN AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 73. JAPAN AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 74. MALAYSIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 75. MALAYSIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 76. MALAYSIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. MALAYSIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 78. PHILIPPINES AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 79. PHILIPPINES AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 80. PHILIPPINES AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. PHILIPPINES AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 82. SINGAPORE AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 83. SINGAPORE AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 84. SINGAPORE AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 85. SINGAPORE AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 86. SOUTH KOREA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 87. SOUTH KOREA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 88. SOUTH KOREA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. SOUTH KOREA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 90. TAIWAN AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 91. TAIWAN AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. TAIWAN AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 93. TAIWAN AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 94. THAILAND AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 95. THAILAND AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 96. THAILAND AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. THAILAND AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 98. VIETNAM AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 99. VIETNAM AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 100. VIETNAM AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. VIETNAM AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 102. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 103. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 104. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 105. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 106. EUROPE, MIDDLE EAST & AFRICA AI SERVER MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 107. DENMARK AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 108. DENMARK AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 109. DENMARK AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 110. DENMARK AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 111. EGYPT AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 112. EGYPT AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 113. EGYPT AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 114. EGYPT AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 115. FINLAND AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 116. FINLAND AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 117. FINLAND AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 118. FINLAND AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 119. FRANCE AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 120. FRANCE AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 121. FRANCE AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 122. FRANCE AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 123. GERMANY AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 124. GERMANY AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 125. GERMANY AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 126. GERMANY AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 127. ISRAEL AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 128. ISRAEL AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 129. ISRAEL AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 130. ISRAEL AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 131. ITALY AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 132. ITALY AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 133. ITALY AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 134. ITALY AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 135. NETHERLANDS AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 136. NETHERLANDS AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 137. NETHERLANDS AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 138. NETHERLANDS AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 139. NIGERIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 140. NIGERIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 141. NIGERIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 142. NIGERIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 143. NORWAY AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 144. NORWAY AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 145. NORWAY AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 146. NORWAY AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 147. POLAND AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 148. POLAND AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 149. POLAND AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 150. POLAND AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 151. QATAR AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 152. QATAR AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 153. QATAR AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 154. QATAR AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 155. RUSSIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 156. RUSSIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 157. RUSSIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 158. RUSSIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 159. SAUDI ARABIA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 160. SAUDI ARABIA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 161. SAUDI ARABIA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 162. SAUDI ARABIA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 163. SOUTH AFRICA AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 164. SOUTH AFRICA AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 165. SOUTH AFRICA AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 166. SOUTH AFRICA AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 167. SPAIN AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 168. SPAIN AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 169. SPAIN AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 170. SPAIN AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 171. SWEDEN AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 172. SWEDEN AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 173. SWEDEN AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 174. SWEDEN AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 175. SWITZERLAND AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 176. SWITZERLAND AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 177. SWITZERLAND AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 178. SWITZERLAND AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 179. TURKEY AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 180. TURKEY AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 181. TURKEY AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 182. TURKEY AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 183. UNITED ARAB EMIRATES AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 184. UNITED ARAB EMIRATES AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 185. UNITED ARAB EMIRATES AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 186. UNITED ARAB EMIRATES AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 187. UNITED KINGDOM AI SERVER MARKET SIZE, BY PROCESSOR, 2018-2030 (USD MILLION)
  • TABLE 188. UNITED KINGDOM AI SERVER MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED KINGDOM AI SERVER MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED KINGDOM AI SERVER MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 191. AI SERVER MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 192. AI SERVER MARKET, FPNV POSITIONING MATRIX, 2024