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人工智慧（AI）伺服器市場報告：趨勢、預測和競爭分析（至2035年）

Artificial Intelligence Server Market Report: Trends, Forecast and Competitive Analysis to 2035
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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人工智慧（AI）伺服器市場

受網際網路、電信、醫療保健和政府等領域機會的推動，全球人工智慧伺服器市場前景光明。預計到2035年，全球人工智慧伺服器市場規模將達到1,210億美元，高於2027年的350億美元，2027年至2035年的複合年成長率（CAGR）為16.4%。推動該市場成長的關鍵因素包括對人工智慧運算能力的需求不斷成長、雲端人工智慧伺服器的廣泛應用以及企業對人工智慧解決方案投資的增加。

  • 根據 Lucintel 的預測，由於對訓練大規模AI 模型的需求不斷成長，AI 訓練伺服器預計將在預測期內呈現最高的成長率。
  • 從應用領域來看，在預測期內，醫療保健產業預計將呈現最高的成長率，這主要得益於人工智慧在醫療診斷和研究中的應用。
  • 從區域來看，亞太地區預計將在預測期內呈現最高的成長率，這主要得益於資料中心投資的增加和人工智慧的日益普及。

人工智慧伺服器市場的新趨勢

人工智慧伺服器市場正逐漸擺脫加速器驅動的擴張模式，轉而追求架構整合度的提升與能源效率的提升。預計在2025年至2027年間，超大規模資料中心業者資料中心的投資、企業級推理以及政府主導的人工智慧專案將推動訓練叢集以外的需求成長。根據Lucintel預測，運算密度和能耗成本將促進液冷、客製化晶片和模組化產品的普及應用。

  • 加速器多樣化：NVIDIA 的 Blackwell 系統、AMD 的 MI350 以及Google 2025-2026 年的 TPU藍圖將為買家提供更多架構選擇。未來幾年，隨著客戶為提升成本績效進行採購，結合 GPU、ASIC 和高頻寬記憶體的系統將主導市場。
  • 液冷：新型人工智慧機架的功率將超過100kW。到2025年，大多數交易資料中心營運商將採用晶片級直接冷卻技術，這標誌著高密度部署中冷卻方式將從風冷轉向液冷。預計到2030年，冷卻設計將對伺服器選擇、資料中心設施維修、營運成本以及機架可用容量產生影響。
  • 邊緣推理：2025 年至 2027 年間，通訊、醫療保健、金融和製造業的客戶將把推理處理遷移到更靠近邊緣的位置。這將推動使用緊湊型邊緣伺服器在本地執行工作負載。這一趨勢將滿足傳統超大規模園區以外的需求，並促進分散式伺服器採購。
  • 主權人工智慧基礎設施：2025年，歐洲、中東和亞洲各國政府主導的人工智慧基礎建設計畫開始加速推進。部署數千個加速器的國家級專案也開始製定。有關資料居住和戰略自主原則的法律法規使得在這些地區投資伺服器更具吸引力。這將有助於在雲端服務由國內管理的地區實現伺服器、合約容量和雲端服務供應商的本地化整合。
  • 模組化機架式系統：人工智慧伺服器設計正朝著預先設計的機架式系統轉變，這些系統整合了運算、網路、電源和散熱功能。到 2025 年，機架級效能在部署中將比單一伺服器更為重要。標準化模組可縮短安裝時間，提高營運商的資金利用效率。軟體可用性和部署速度將開始最佳化採購決策，並將與加速器效能結合考慮。

儘管對高效能運算系統的需求依然強勁，但運算供應鏈的經濟競爭將日益激烈。除了電力和軟體的可用性以及以具有競爭力的速度部署系統的柔軟性之外，買家在採購決策中還會考慮總體擁有成本 (TCO)。隨著推理和運算能力日益受限，具備高效機架式架構、可靠服務和靈活設計的高效能系統將在 2027 年前擴大市場佔有率。

人工智慧伺服器市場最新趨勢

在人工智慧伺服器領域，市場活動預計將在2025年至2027年間持續成長。這主要得益於超大規模資料中心業者運算的加速普及、企業容量的提升以及供應商向水冷機架式系統的快速轉型。 Lucintel預測，短期內投資活動仍將集中在北美地區。同時，電源供應和半導體材料的可用性將在決定部署計劃和區域競爭優勢方面發揮關鍵作用。

  • 超大規模資料中心業者資料中心的資本投資正在擴大：微軟宣布計劃在2025年1月開始的會計年度投資約800億美元用於人工智慧資料中心。這項投資將進一步鞏固伺服器市場，但電力接入限制和建設延誤可能會對伺服器交付構成挑戰。
  • 星門計劃是一項由國家主導的人工智慧基礎設施計劃，是美國政府主導的人工智慧投資項目，涉及從2025年1月開始的四年內投資5,000億美元。這將顯著提高國內市場的產能，並對類似的政府主導項目產生連鎖反應。
  • 向加速器平台過渡：NVIDIA 預計將在 2025 會計年度第一季（2025 年 5 月）全面過渡到 Blackwell 系統，資料中心收入預計將達到約 30 億美元。此次加速的 GPU 世代更替可望縮短伺服器更換週期並提升伺服器價值。
  • 液冷：戴爾科技人工智慧伺服器的直接液冷技術已擴展至支援輝達Blackwell處理器。預計這將進一步提升對其他冷卻基礎設施相關服務的需求。
  • 大規模契約製造：富士康計畫在墨西哥新建一座人工智慧伺服器製造廠，投資額約9億美元，預計2025年6月完工。這將顯著降低物流風險，並確保在亞洲地區以外製造地。

未來五年，處理器發布對人工智慧伺服器市場成長的重要性將會下降。取而代之的是，客戶將更關注整體基礎設施的經濟性、每瓦性能、網路效率、冷卻成本和部署速度。能夠拿下電力合約、組件採購合約和服務合約的供應商將主導市場。然而，市場成長也面臨諸多限制因素。變壓器短缺、許可流程延誤、企業需求的不確定性，以及超大規模資料中心業者營運商激進的預算策略，都將抑制市場需求，即便成長較為緩慢。

目錄

第1章摘要整理

第2章 市場概覽

  • 背景與分類
  • 供應鏈

第3章 市場趨勢與預測分析

  • 宏觀經濟趨勢與預測
  • 產業促進因素與挑戰
  • PESTLE分析
  • 專利分析
  • 法規環境

第4章：全球人工智慧（AI）伺服器市場：按類型分類

  • 吸引力分析：按類型
  • AI訓練伺服器
  • 人工智慧推理伺服器

第5章 全球人工智慧（AI）伺服器市場：按應用領域分類

  • 吸引力分析：依目的
  • 網際網路
  • 電訊
  • 衛生保健
  • 政府
  • 其他

第6章 區域分析

第7章：北美人工智慧（AI）伺服器市場

  • 北美人工智慧 (AI) 伺服器市場：按類型分類
  • 北美人工智慧 (AI) 伺服器市場：按應用領域分類
  • 美國人工智慧（AI）伺服器市場
  • 加拿大人工智慧（AI）伺服器市場
  • 墨西哥人工智慧（AI）伺服器市場

第8章：歐洲人工智慧（AI）伺服器市場

  • 歐洲人工智慧 (AI) 伺服器市場：按類型分類
  • 歐洲人工智慧 (AI) 伺服器市場：按應用領域分類
  • 德國人工智慧（AI）伺服器市場
  • 法國人工智慧（AI）伺服器市場
  • 義大利人工智慧（AI）伺服器市場
  • 西班牙人工智慧（AI）伺服器市場
  • 英國人工智慧（AI）伺服器市場

第9章：亞太地區人工智慧（AI）伺服器市場

  • 亞太地區人工智慧（AI）伺服器市場：按類型分類
  • 亞太地區人工智慧（AI）伺服器市場：按應用領域分類
  • 中國的人工智慧（AI）伺服器市場
  • 印度人工智慧（AI）伺服器市場
  • 日本人工智慧（AI）伺服器市場
  • 韓國人工智慧（AI）伺服器市場
  • 印尼人工智慧（AI）伺服器市場

第10章：世界人工智慧（AI）伺服器市場

  • 其他地區的人工智慧 (AI) 伺服器市場：按類型分類
  • 其他地區的人工智慧 (AI) 伺服器市場：按應用分類
  • 中東人工智慧（AI）伺服器市場
  • 南美洲人工智慧（AI）伺服器市場
  • 非洲人工智慧（AI）伺服器市場

第11章 競爭分析

  • 產品系列分析
  • 業務整合
  • 波特五力分析
  • 市佔率分析

第12章 機會與策略分析

  • 價值鏈分析
  • 成長機會分析
  • 新趨勢：全球人工智慧 (AI) 伺服器市場
  • 戰略分析

第13章：價值鏈中關鍵企業的公司概況

  • 競爭分析概述
  • Inspur
  • Dell
  • HPE
  • Huawei
  • Lenovo
  • H3C
  • IBM
  • Fujitsu
  • Cisco
  • Nvidia

第14章附錄

Artificial Intelligence Server Market

The future of the global artificial intelligence server market looks promising with opportunities in the internet, telecommunication, healthcare, and government markets. The global artificial intelligence server market is expected to reach an estimated $121 billion by 2035 from $35 billion in 2027 with a CAGR of 16.4% from 2027 to 2035. The major drivers for this market are the increasing demand for AI computing power, the rising adoption of cloud based AI servers, and the growing investments in enterprise AI solutions.

  • Lucintel forecasts that, within the type category, AI training servers is expected to witness higher growth over the forecast period due to increasing demands for training large AI models.
  • Within the application category, healthcare is expected to witness the highest growth over the forecast period due to use of AI in medical diagnostics and research.
  • In terms of regions, APAC is expected to witness the highest growth over the forecast period due to growing investments in data centers and increasing AI adoption.

Emerging Trends in Artificial Intelligence Server Market

Transitioning away from accelerator-driven expansion, the AI server market is integrating its architecture and becoming energy-efficient. From 2025 to 2027, hyperscaler spending, inference at the enterprise level, and government-led AI projects will expand demand beyond training clusters. According to Lucintel, Compute density and energy costs will drive adoption of liquid cooling, custom silicon, and modular offerings.

  • Diversification of Accelerators: NVIDIA's Blackwell systems, AMD's MI350, and Google's TPU roadmap for 2025-2026 will give buyers more architectural options. Systems combining GPUs, ASICs, and high-bandwidth memory will dominate the market as customers purchase to gain more performance per dollar in the coming years.
  • Liquid Cooling: New AI racks exceed 100kW. In 2025, most trading data center operators introduced direct chip-level cooling, signaling a structural move away from air cooling for dense deployments. Cooling design will impact server selection, retrofits of data center facilities, operating costs, and available capacity in a rack through 2030.
  • Edge Inference: In 2025-2027, customers in telecommunications, health care, finance, and manufacturing will move inference closer to the edge. This will lead to local execution of workloads using compact edge servers. This trend will help accommodate demand beyond the traditional hyperscale campuses and support distributed purchasing of servers.
  • Sovereign A.I. Infrastructure: In 2025, government-backed activities across Europe, the Middle East, and Asia began to accelerate. National programs dedicated to thousands of accelerators began to formulate. Data-residency laws and the principle of strategic autonomy will make investments in servers within the region more attractive. This will encourage the local integration of servers, contracted capacity, and cloud service providers where cloud services are governed domestically.
  • Modular Rack-scale Systems: The design of AI servers is moving toward pre-engineered rack systems for integrations of compute, networking, power delivery, and cooling. In 2025, deployments are starting to specify rack level performance over standalone servers. Standardized modules will decrease the installation time and improve capital use for operators. Software availability and deployment speed will begin to optimize purchasing decisions and be considered along with accelerator performance.

While the demand for high performance computing systems will remain strong, the economics of computing supply chains will become more challenging. Buyers will consider the total cost of ownership in purchasing decisions along with the availability of power, software, and flexibility of deploying systems at a competitive pace. High performance systems which employ an efficient rack-scale architecture, reliable services, and flexible design will increase their market share while inference and computing capacity are constrained through 2027.

Recent Developments in the Artificial Intelligence Server Market

Activities relating to artificial intelligence servers demonstrate an expansion in market activity in the period running from 2025-2027, primarily due to hyperscalers with accelerated adoption of computing, enterprises building capacity, and suppliers with a swift shift to liquid-cooled, rack-scale systems. Lucintel expects the spending activity to remain concentrated in North America in the near term, while the availability of power and the supply of semiconductors will play a significant role in determining deployment schedules and the competitive edge among regions.

  • Hyperscaler Capital Expansion: Microsoft announced plans to spend about $80 billion on AI-enabled datacenters in its fiscal year commencing in January 2025. This spending will continue to strengthen the server market, but constrained grid access and construction will create a challenge for server delivery.
  • Sovereign AI Infrastructure: The Stargate project is a $500 billion dollar AI investment over a four year period commencing in January 2025, and is a government-sponsored project in the United States. This will add significant capacity to the domestic market and create a ripple effect of similar government sponsored programs.
  • Transition To Accelerator Platform: There is an expected shift to Blackwell systems with broad production and a data center revenue of about $3 billion, which is expected to occur during the first fiscal quarter of 2025 (May 2025) for NVIDIA. Faster generations of GPUs will decrease the time it takes to replace them and increase the value of the servers.
  • Liquid Cooling: Direct to liquid cooling AI servers has been expanded to now include the NVIDIA Blackwell processors for Dell Technologies. This will drive more demand for other services related to cooling infrastructure.
  • Contract Manufacturing at Scale: Construction of a new AI server manufacturing plant in Mexico is expected to cost around $900 million and will be completed by Foxconn in June 2025. This creates a sharp reduction in the risk of logistics and a manufacturing plant outside the region of Asia.

In the next five years, processor announcements will not be as important to the growth of the artificial intelligence server market. Instead, customers will compare the economics of full infrastructure and performance-per-watt, network efficiency, cooling cost, and deployment speed. Suppliers who secure electricity contracts, component allocations, and service contracts will dominate the market. There are significant limits to growth. Transformer shortages, slow permitting processes, and uncertainty around enterprise demand coupled with the aggressive hyperscaler budgets will constrain market demand even with slow growth.

Strategic Growth Opportunities in the Artificial Intelligence Server Market

The market for artificial intelligence (AI) servers is growing as AI-based workloads are deployed in actual products and services. During 2024-2026, companies are expected to change how they purchase power, data center capacity, and equipment to reduce latency. Lucintel expects that suppliers who incorporate capacity, efficiency, and tailored solutions will find an opportunity.

  • Inference-focused Servers: Over the next several years, demand will increase for AI workloads to move nearer to end users, optimize cost, and minimize infrastructure overhead with substantial replacement cycles. In May 2025, NVIDIA reported quarterly data center revenue of $39.1 billion. This shows supercharged demand for accelerators.
  • Sovereign AI Infrastructure: The European Commission designated 13 AI factories in March 2025. There will be a demand for integrated servers and sustained support of computing infrastructure for supported local compute capacity and sensitive data.
  • Energy-efficient Platforms: In January 2025, Microsoft committed $80 billion to AI data center initiatives. With the recent increase in the cost of electricity, servers will favor systems with higher rack density and liquid cooling and high performance/low energy consumption.
  • Industrial Edge Systems: In 2024, OICA reported around 75 million vehicles produced globally.AI servers deployed near factories and along logistics transport networks will support robotic systems and predictive maintenance. By relying on nearby edge systems and networks, inspection and maintenance will not have to rely on distant cloud computing.
  • AI-as-a-service: OpenAI and SoftBank launched their $500 billion Stargate infrastructure initiative in January 2025. The market for application-specific, hosted capacity will expand to smaller companies who will forego AI accelerators and become customers outside the "hyperscale" companies.

The next three to five years will favor vendors that tackle deployment economics rather than simply selling hardware that speeds up the process. Demand will cross into public sector programs, industrial sites, and regional data centers. Suppliers with good cooling, software integration, financial offerings, and lifecycle services will generate recurring business. Shortages will still exist, but purchasing will become more rational and application-centered.

Artificial Intelligence Server Market Drivers and Challenges

The artificial intelligence server market will experience rapid growth due to the acceleration of AI adoption, increases in the pace of hardware and data-center innovations, rapidly evolving regulations, and increasing customer demands for generative AI, machine learning, and inference capacity. Lucintel predicts that the economic condition, availability of energy, the supply-chain, sustainability, and potential for manufacturing will significantly impact future competition. All of the factors described will likely inhibit growth and adversely impact the purchasing decisions of enterprises, cloud providers, governments, and research organizations.

The factors responsible for driving this market include:

  • Increased demand for Generative AI - Customer demand for generative AI is driving more deployments of GPU-accelerated servers. large language models, recommendation engines, computer vision systems, and automated decision frameworks are drivers for increased demand. Announced by Microsoft, during its fiscal year 2025 (starting January 2025), Microsoft intends to invest an approximate $80 billion to support its AI-based data center builds. The document is indicative of the expansions cloud providers and enterprises intend to undertake for data center AI model training and inference. It is expected that within the next three to five years, the enterprise adoption of industry-specific AI applications will establish copilots and accelerate the completion of work tasks to a significant degree and increase server purchases for inference systems.
  • Advanced Hardware Stimulates AI Server Boost: Recent advancements in power and cooling technologies, combined with the latest designs in networking and high-capacity memory, provide a powerful platform for next-generation AI servers. Considering the strong demand for computing services, NVIDIA's February 2025 projection for its data-center segment appears to be quite optimistic at $115.2 billion for fiscal year 2025. More advanced processors allow customers to sustain larger models with quicker time to training, and offer performance per watt benefits. Rack-scale systems, interconnects, memory, and inference chips are expected to improve significantly within the next 3-5 years, making upgrades and increased server density more desirable.
  • AI Drives Data Center Boom: Facilities are in high demand for hyperscale computing. Increased demand for AI services drives capital expenditures. For example, Google has set aside $75 billion for fiscal year 2025 in new AI investments and supporting infrastructure, as communicated in their April 2025 release. After the next 3-5 years, there will be a significant amount of opportunity in the computer hardware market when data-center construction, regional cloud computing expansion, and Sovereign computing initiatives offer new markets with accelerated AI services and reduced latency.
  • Enterprise Digital Transformation: Business functions are now using AI in customer service, cyber security, financial analysis, drug discoveries, and manufacturing and supply-chain management. The push for AI means that servers will not be confined to research labs or hyperscale clouds, but will move to private data centers and hybrid environments. With the new AI Act projected to go into effect in August 2025, the EU has mandated certain general-purpose AI models, prompting businesses to create AI governance and infrastructure policies. In the next three to five years, AI adoption in enterprises will create a market demand for secure, scalable, and peace of mind servers that can easily support training and inference.
  • Improved Manufacturing Efficiency and Total-Cost Economics: Improved design layouts, thermal control, revamped power delivery, enhanced firmware, and automated assembly enhance productivity across manufacturing operations, resulting in systems that are not only faster, but also cheaper. Other improvements such as the virtualization of computing resources, better models, and AI accelerators coupled with strategies to optimize computing resource utilization result in even greater economic improvements. In the next three to five years, manufacturing innovations, standardization of architectures, and refurbished machines, along with designing systems that specialize in performing specific operations, will provide customers with a wide range of options while helping them manage the total cost of ownership.

The challenges facing this market include:

  • High Costs: AI servers use many resources that increase costs including equipment accelerators, memory, networking, specialized cooling, and power. Large AI systems to build and train can cost a lot of money up front, while inference systems create AI loads that require ongoing costs, including energy. For many businesses, especially small businesses, it is more cost efficient to use a public cloud rather than buy the equipment and maintain an AI system. For the next 3 to 5 years, heavy financial costs and uncertain profit opportunities will stop many companies from implementing AI systems. Until then, the focus will be on developing equipment to reduce costs and make AI systems more efficient.
  • Developing Supply Chains and Power Reliability: The building of specialized equipment for AI systems increases the cost of equipment, the length of time it takes to build the equipment, and the availability of resources. Data infrastructure also suffers due to limited grid power and the addition of restrictions on water supply due to less availability of renewable energy. The International Energy Agency (IEA) predicts that data centers will consume 1,000 tera-Watt-hours of electricity by 2026 (April 2024), creating a significant problem for power reliability throughout the world. To improve the market, the focus for the next 3 to 5 years should be on developing equipment locally, using standardized equipment, generating power locally, and improving the process of resource reuse.
  • Risks Associated with Regulation, Security, and Sustainability: AI servers are dangerous and expose companies to cyberattacks, data breaches, revelation of trade secrets, and even rule breaking. Governments are also looking closely at models, which increases the likelihood of transparency and explains their concern with export restrictions, data sovereignty, and even energy consumption. The EU AI Act's requirements for advanced AI systems will also begin this year, showing an ongoing increase in requirements. In the next three to five years, rules will shift and requirements will all increase while demand for services increases, but there will be a shortage of systems that use trusted, secure, and low-carbon technology, as people will start demanding these technologies.

The market for AI servers and AI-backed services is starting to explode because of positively changing trends, like the use of generative AI, the creation of better chip designs, enterprise digital transformation, and the heavy investment in data centers. The AI server market will experience many of the same problems as chip market and will end up being moderately small, including high prices, scarce supplies, power shortages, and high exposure to cyberthreats and regulatory issues. The market leaders will end up having the best combination of efficient design, rapid supply chains, and a low impact supply design. In the next three to five years, competition will focus on performance, energy efficiency, and flexible deployment of AI services that comply with the law. Overall there will be strong market demand, but the market will end up slow if AI services are secure and environmentally friendly.

List of Artificial Intelligence Server Market Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies artificial intelligence server market companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence server market companies profiled in this report include-

  • Inspur
  • Dell
  • HPE
  • Huawei
  • Lenovo
  • H3C
  • IBM
  • Fujitsu
  • Cisco
  • Nvidia

Artificial Intelligence Server Market by Segment

The study includes a forecast for the global artificial intelligence server market by type, application, and region.

Artificial Intelligence Server Market by Type [Value ($B) from 2019 to 2035]:

  • AI Training Servers
  • AI Inference Servers

Artificial Intelligence Server Market by Application [Value ($B) from 2019 to 2035]:

  • Internet
  • Telecommunications
  • Healthcare
  • Government
  • Others

Artificial Intelligence Server Market by Region [Value ($B) from 2019 to 2035]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the Artificial Intelligence Server Market

Investment in AI server applications has been on the rise due to governments and hyperscalers building domestic server capacity with the help of semiconductor and data center infrastructure. Lucintel predicts vertical integration and large-scale deployments planned for 2025 to 2027 will further dominate the market.

  • United States: In January 2025, Stargate, a collaboration of OpenAI, SoftBank, and others, was formed to develop a $500 billion investment in AI infrastructure, of which the initial investment was estimated at $100 billion. Expanding this program would create demand for servers and networking equipment for data centers with a potential 3 to 5 year build out.
  • China: In February 2025, Alibaba announced they would invest $52.4 billion in cloud and AI infrastructure, and Huawei, continued deploying Ascend based systems. This will strengthen China's server supply chain and replace foreign accelerators with local supply.
  • Germany: Manufacturing investment: Siemens and NVIDIA's industrial AI partnership expanded in April 2025. Local AI and compute driven data centers will continue to be the focus of Germany's national AI strategy. The integration of factory digitization with the European infrastructure funding will create demand for enterprise AI Servers.
  • India: India AI Mission approved a 10,372 GPU compute facility in March 2025, which will be offered to startups, researchers and government entities. Yotta Infrastructure continued growth of its Shakti cloud platform. This will create further domestic adoption of server and AI software development.
  • Japan: Ark Invest Capital's data center investment ʺSoftBank intends to construct an AI data center in Sakai, Osaka, Japan by refurbishing a Sharp semiconductor plant with an anticipated operational date during the fiscal year 2026.ʺ Prefabricating a data center at an existing site allows for faster deployment of high density computing and aids Japans goals of sovereign compute over the medium term.

Features of the Global Artificial Intelligence Server Market

  • Market Size Estimates: artificial intelligence server market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends (2019 to 2026) and forecast (2027 to 2035) by various segments and regions.
  • Segmentation Analysis: artificial intelligence server market size by type, application, and region in terms of value ($B).
  • Regional Analysis: artificial intelligence server market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the artificial intelligence server market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the artificial intelligence server market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the artificial intelligence server market by type (AI training servers and AI inference servers), application (internet, telecommunications, healthcare, government, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 7 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Market Overview

  • 2.1 Background and Classifications
  • 2.2 Supply Chain

3. Market Trends & Forecast Analysis

  • 3.1 Macroeconomic Trends and Forecasts
  • 3.2 Industry Drivers and Challenges
  • 3.3 PESTLE Analysis
  • 3.4 Patent Analysis
  • 3.5 Regulatory Environment

4. Global Artificial Intelligence Server Market by Type

  • 4.1 Overview
  • 4.2 Attractiveness Analysis by Type
  • 4.3 AI Training Servers : Trends and Forecast 2019 to 2035
  • 4.4 AI Inference Servers : Trends and Forecast 2019 to 2035

5. Global Artificial Intelligence Server Market by Application

  • 5.1 Overview
  • 5.2 Attractiveness Analysis by Application
  • 5.3 Internet : Trends and Forecast 2019 to 2035
  • 5.4 Telecommunications : Trends and Forecast 2019 to 2035
  • 5.5 Healthcare : Trends and Forecast 2019 to 2035
  • 5.6 Government : Trends and Forecast 2019 to 2035
  • 5.7 Others : Trends and Forecast 2019 to 2035

6. Regional Analysis

  • 6.1 Overview
  • 6.2 Global Artificial Intelligence Server Market by Region

7. North American Artificial Intelligence Server Market

  • 7.1 Overview
  • 7.2 North American Artificial Intelligence Server Market by Type
  • 7.3 North American Artificial Intelligence Server Market by Application
  • 7.4 The United States Artificial Intelligence Server Market
  • 7.5 Canadian Artificial Intelligence Server Market
  • 7.6 Mexican Artificial Intelligence Server Market

8. European Artificial Intelligence Server Market

  • 8.1 Overview
  • 8.2 European Artificial Intelligence Server Market by Type
  • 8.3 European Artificial Intelligence Server Market by Application
  • 8.4 German Artificial Intelligence Server Market
  • 8.5 French Artificial Intelligence Server Market
  • 8.6 Italian Artificial Intelligence Server Market
  • 8.7 Spanish Artificial Intelligence Server Market
  • 8.8 The United Kingdom Artificial Intelligence Server Market

9. APAC Artificial Intelligence Server Market

  • 9.1 Overview
  • 9.2 APAC Artificial Intelligence Server Market by Type
  • 9.3 APAC Artificial Intelligence Server Market by Application
  • 9.4 Chinese Artificial Intelligence Server Market
  • 9.5 Indian Artificial Intelligence Server Market
  • 9.6 Japanese Artificial Intelligence Server Market
  • 9.7 South Korean Artificial Intelligence Server Market
  • 9.8 Indonesian Artificial Intelligence Server Market

10. ROW Artificial Intelligence Server Market

  • 10.1 Overview
  • 10.2 ROW Artificial Intelligence Server Market by Type
  • 10.3 ROW Artificial Intelligence Server Market by Application
  • 10.4 Middle Eastern Artificial Intelligence Server Market
  • 10.5 South American Artificial Intelligence Server Market
  • 10.6 African Artificial Intelligence Server Market

11. Competitor Analysis

  • 11.1 Product Portfolio Analysis
  • 11.2 Operational Integration
  • 11.3 Porter's Five Forces Analysis
    • Competitive Rivalry
    • Bargaining Power of Buyers
    • Bargaining Power of Suppliers
    • Threat of Substitutes
    • Threat of New Entrants
  • 11.4 Market Share Analysis

12. Opportunities & Strategic Analysis

  • 12.1 Value Chain Analysis
  • 12.2 Growth Opportunity Analysis
    • 12.2.1 Growth Opportunity by Type
    • 12.2.2 Growth Opportunity by Application
  • 12.3 Emerging Trends in the Global Artificial Intelligence Server Market
  • 12.4 Strategic Analysis
    • 12.4.1 New Product Development
    • 12.4.2 Certification and Licensing
    • 12.4.3 Mergers, Acquisitions, Agreements, Collaborations, and Joint Ventures

13. Company Profiles of the Leading Players Across the Value Chain

  • 13.1 Competitive Analysis Overview
  • 13.2 Inspur
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.3 Dell
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.4 HPE
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.5 Huawei
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.6 Lenovo
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.7 H3C
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.8 IBM
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.9 Fujitsu
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.10 Cisco
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing
  • 13.11 Nvidia
    • Company Overview
    • Artificial Intelligence Server Market Business Overview
    • New Product Development
    • Merger, Acquisition, and Collaboration
    • Certification and Licensing

14. Appendix

  • 14.1 List of Figures
  • 14.2 List of Tables
  • 14.3 Research Methodology
  • 14.4 Disclaimer
  • 14.5 Copyright
  • 14.6 Abbreviations and Technical Units
  • 14.7 About Us
  • 14.8 Contact Us

List of Figures

  • Figure 1.1: Trends and Forecast for the Global Artificial Intelligence Server Market
  • Figure 2.1: Usage of Artificial Intelligence Server Market
  • Figure 2.2: Classification of the Global Artificial Intelligence Server Market
  • Figure 2.3: Supply Chain of the Global Artificial Intelligence Server Market
  • Figure 3.1: Trends of the Global GDP Growth Rate
  • Figure 3.2: Trends of the Global Population Growth Rate
  • Figure 3.3: Trends of the Global Inflation Rate
  • Figure 3.4: Trends of the Global Unemployment Rate
  • Figure 3.5: Trends of the Regional GDP Growth Rate
  • Figure 3.6: Trends of the Regional Population Growth Rate
  • Figure 3.7: Trends of the Regional Inflation Rate
  • Figure 3.8: Trends of the Regional Unemployment Rate
  • Figure 3.9: Trends of Regional Per Capita Income
  • Figure 3.10: Forecast for the Global GDP Growth Rate
  • Figure 3.11: Forecast for the Global Population Growth Rate
  • Figure 3.12: Forecast for the Global Inflation Rate
  • Figure 3.13: Forecast for the Global Unemployment Rate
  • Figure 3.14: Forecast for the Regional GDP Growth Rate
  • Figure 3.15: Forecast for the Regional Population Growth Rate
  • Figure 3.16: Forecast for the Regional Inflation Rate
  • Figure 3.17: Forecast for the Regional Unemployment Rate
  • Figure 3.18: Forecast for Regional Per Capita Income
  • Figure 3.19: Driver and Challenges of the Artificial Intelligence Server Market
  • Figure 4.1: Global Artificial Intelligence Server Market by Type in 2019, 2026, and 2035
  • Figure 4.2: Trends of the Global Artificial Intelligence Server Market ($B) by Type
  • Figure 4.3: Forecast for the Global Artificial Intelligence Server Market ($B) by Type
  • Figure 4.4: Trends and Forecast for AI Training Servers in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 4.5: Trends and Forecast for AI Inference Servers in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 5.1: Global Artificial Intelligence Server Market by Application in 2019, 2026, and 2035
  • Figure 5.2: Trends of the Global Artificial Intelligence Server Market ($B) by Application
  • Figure 5.3: Forecast for the Global Artificial Intelligence Server Market ($B) by Application
  • Figure 5.4: Trends and Forecast for Internet in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 5.5: Trends and Forecast for Telecommunications in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 5.6: Trends and Forecast for Healthcare in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 5.7: Trends and Forecast for Government in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 5.8: Trends and Forecast for Others in the Global Artificial Intelligence Server Market (2019-2035)
  • Figure 6.1: Trends of the Global Artificial Intelligence Server Market ($B) by Region (2019-2026)
  • Figure 6.2: Forecast for the Global Artificial Intelligence Server Market ($B) by Region (2027-2035)
  • Figure 7.1: Trends and Forecast for the North American Artificial Intelligence Server Market (2019-2035)
  • Figure 7.2: North American Artificial Intelligence Server Market by Type in 2019, 2026, and 2035
  • Figure 7.3: Trends of the North American Artificial Intelligence Server Market ($B) by Type (2019-2026)
  • Figure 7.4: Forecast for the North American Artificial Intelligence Server Market ($B) by Type (2027-2035)
  • Figure 7.5: North American Artificial Intelligence Server Market by Application in 2019, 2026, and 2035
  • Figure 7.6: Trends of the North American Artificial Intelligence Server Market ($B) by Application (2019-2026)
  • Figure 7.7: Forecast for the North American Artificial Intelligence Server Market ($B) by Application (2027-2035)
  • Figure 7.8: Trends and Forecast for the United States Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 7.9: Trends and Forecast for the Mexican Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 7.10: Trends and Forecast for the Canadian Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 8.1: Trends and Forecast for the European Artificial Intelligence Server Market (2019-2035)
  • Figure 8.2: European Artificial Intelligence Server Market by Type in 2019, 2026, and 2035
  • Figure 8.3: Trends of the European Artificial Intelligence Server Market ($B) by Type (2019-2026)
  • Figure 8.4: Forecast for the European Artificial Intelligence Server Market ($B) by Type (2027-2035)
  • Figure 8.5: European Artificial Intelligence Server Market by Application in 2019, 2026, and 2035
  • Figure 8.6: Trends of the European Artificial Intelligence Server Market ($B) by Application (2019-2026)
  • Figure 8.7: Forecast for the European Artificial Intelligence Server Market ($B) by Application (2027-2035)
  • Figure 8.8: Trends and Forecast for the German Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 8.9: Trends and Forecast for the French Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 8.10: Trends and Forecast for the Spanish Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 8.11: Trends and Forecast for the Italian Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 8.12: Trends and Forecast for the United Kingdom Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 9.1: Trends and Forecast for the APAC Artificial Intelligence Server Market (2019-2035)
  • Figure 9.2: APAC Artificial Intelligence Server Market by Type in 2019, 2026, and 2035
  • Figure 9.3: Trends of the APAC Artificial Intelligence Server Market ($B) by Type (2019-2026)
  • Figure 9.4: Forecast for the APAC Artificial Intelligence Server Market ($B) by Type (2027-2035)
  • Figure 9.5: APAC Artificial Intelligence Server Market by Application in 2019, 2026, and 2035
  • Figure 9.6: Trends of the APAC Artificial Intelligence Server Market ($B) by Application (2019-2026)
  • Figure 9.7: Forecast for the APAC Artificial Intelligence Server Market ($B) by Application (2027-2035)
  • Figure 9.8: Trends and Forecast for the Japanese Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 9.9: Trends and Forecast for the Indian Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 9.10: Trends and Forecast for the Chinese Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 9.11: Trends and Forecast for the South Korean Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 9.12: Trends and Forecast for the Indonesian Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 10.1: Trends and Forecast for the ROW Artificial Intelligence Server Market (2019-2035)
  • Figure 10.2: ROW Artificial Intelligence Server Market by Type in 2019, 2026, and 2035
  • Figure 10.3: Trends of the ROW Artificial Intelligence Server Market ($B) by Type (2019-2026)
  • Figure 10.4: Forecast for the ROW Artificial Intelligence Server Market ($B) by Type (2027-2035)
  • Figure 10.5: ROW Artificial Intelligence Server Market by Application in 2019, 2026, and 2035
  • Figure 10.6: Trends of the ROW Artificial Intelligence Server Market ($B) by Application (2019-2026)
  • Figure 10.7: Forecast for the ROW Artificial Intelligence Server Market ($B) by Application (2027-2035)
  • Figure 10.8: Trends and Forecast for the Middle Eastern Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 10.9: Trends and Forecast for the South American Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 10.10: Trends and Forecast for the African Artificial Intelligence Server Market ($B) (2019-2035)
  • Figure 11.1: Porter's Five Forces Analysis of the Global Artificial Intelligence Server Market
  • Figure 11.2: Market Share (%) of Top Players in the Global Artificial Intelligence Server Market (2027)
  • Figure 12.1: Growth Opportunities for the Global Artificial Intelligence Server Market by Type
  • Figure 12.2: Growth Opportunities for the Global Artificial Intelligence Server Market by Application
  • Figure 12.3: Growth Opportunities for the Global Artificial Intelligence Server Market by Region
  • Figure 12.4: Emerging Trends in the Global Artificial Intelligence Server Market

List of Tables

  • Table 1.1: Growth Rate (%, 2024-2025) and CAGR (%, 2026-2035) of the Artificial Intelligence Server Market by Type and Application
  • Table 1.2: Attractiveness Analysis for the Artificial Intelligence Server Market by Region
  • Table 1.3: Global Artificial Intelligence Server Market Parameters and Attributes
  • Table 3.1: Trends of the Global Artificial Intelligence Server Market (2019-2025)
  • Table 3.2: Forecast for the Global Artificial Intelligence Server Market (2026-2035)
  • Table 4.1: Attractiveness Analysis for the Global Artificial Intelligence Server Market by Type
  • Table 4.2: Market Size and CAGR of Various Type in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 4.3: Market Size and CAGR of Various Type in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 4.4: Trends of AI Training Servers in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 4.5: Forecast for AI Training Servers in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 4.6: Trends of AI Inference Servers in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 4.7: Forecast for AI Inference Servers in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 5.1: Attractiveness Analysis for the Global Artificial Intelligence Server Market by Application
  • Table 5.2: Market Size and CAGR of Various Application in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 5.3: Market Size and CAGR of Various Application in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 5.4: Trends of Internet in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 5.5: Forecast for Internet in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 5.6: Trends of Telecommunications in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 5.7: Forecast for Telecommunications in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 5.8: Trends of Healthcare in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 5.9: Forecast for Healthcare in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 5.10: Trends of Government in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 5.11: Forecast for Government in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 5.12: Trends of Others in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 5.13: Forecast for Others in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 6.1: Market Size and CAGR of Various Regions in the Global Artificial Intelligence Server Market (2019-2025)
  • Table 6.2: Market Size and CAGR of Various Regions in the Global Artificial Intelligence Server Market (2026-2035)
  • Table 7.1: Trends of the North American Artificial Intelligence Server Market (2019-2025)
  • Table 7.2: Forecast for the North American Artificial Intelligence Server Market (2026-2035)
  • Table 7.3: Market Size and CAGR of Various Type in the North American Artificial Intelligence Server Market (2019-2025)
  • Table 7.4: Market Size and CAGR of Various Type in the North American Artificial Intelligence Server Market (2026-2035)
  • Table 7.5: Market Size and CAGR of Various Application in the North American Artificial Intelligence Server Market (2019-2025)
  • Table 7.6: Market Size and CAGR of Various Application in the North American Artificial Intelligence Server Market (2026-2035)
  • Table 7.7: Trends and Forecast for the United States Artificial Intelligence Server Market (2019-2035)
  • Table 7.8: Trends and Forecast for the Mexican Artificial Intelligence Server Market (2019-2035)
  • Table 7.9: Trends and Forecast for the Canadian Artificial Intelligence Server Market (2019-2035)
  • Table 8.1: Trends of the European Artificial Intelligence Server Market (2019-2025)
  • Table 8.2: Forecast for the European Artificial Intelligence Server Market (2026-2035)
  • Table 8.3: Market Size and CAGR of Various Type in the European Artificial Intelligence Server Market (2019-2025)
  • Table 8.4: Market Size and CAGR of Various Type in the European Artificial Intelligence Server Market (2026-2035)
  • Table 8.5: Market Size and CAGR of Various Application in the European Artificial Intelligence Server Market (2019-2025)
  • Table 8.6: Market Size and CAGR of Various Application in the European Artificial Intelligence Server Market (2026-2035)
  • Table 8.7: Trends and Forecast for the German Artificial Intelligence Server Market (2019-2035)
  • Table 8.8: Trends and Forecast for the French Artificial Intelligence Server Market (2019-2035)
  • Table 8.9: Trends and Forecast for the Spanish Artificial Intelligence Server Market (2019-2035)
  • Table 8.10: Trends and Forecast for the Italian Artificial Intelligence Server Market (2019-2035)
  • Table 8.11: Trends and Forecast for the United Kingdom Artificial Intelligence Server Market (2019-2035)
  • Table 9.1: Trends of the APAC Artificial Intelligence Server Market (2019-2025)
  • Table 9.2: Forecast for the APAC Artificial Intelligence Server Market (2026-2035)
  • Table 9.3: Market Size and CAGR of Various Type in the APAC Artificial Intelligence Server Market (2019-2025)
  • Table 9.4: Market Size and CAGR of Various Type in the APAC Artificial Intelligence Server Market (2026-2035)
  • Table 9.5: Market Size and CAGR of Various Application in the APAC Artificial Intelligence Server Market (2019-2025)
  • Table 9.6: Market Size and CAGR of Various Application in the APAC Artificial Intelligence Server Market (2026-2035)
  • Table 9.7: Trends and Forecast for the Japanese Artificial Intelligence Server Market (2019-2035)
  • Table 9.8: Trends and Forecast for the Indian Artificial Intelligence Server Market (2019-2035)
  • Table 9.9: Trends and Forecast for the Chinese Artificial Intelligence Server Market (2019-2035)
  • Table 9.10: Trends and Forecast for the South Korean Artificial Intelligence Server Market (2019-2035)
  • Table 9.11: Trends and Forecast for the Indonesian Artificial Intelligence Server Market (2019-2035)
  • Table 10.1: Trends of the ROW Artificial Intelligence Server Market (2019-2025)
  • Table 10.2: Forecast for the ROW Artificial Intelligence Server Market (2026-2035)
  • Table 10.3: Market Size and CAGR of Various Type in the ROW Artificial Intelligence Server Market (2019-2025)
  • Table 10.4: Market Size and CAGR of Various Type in the ROW Artificial Intelligence Server Market (2026-2035)
  • Table 10.5: Market Size and CAGR of Various Application in the ROW Artificial Intelligence Server Market (2019-2025)
  • Table 10.6: Market Size and CAGR of Various Application in the ROW Artificial Intelligence Server Market (2026-2035)
  • Table 10.7: Trends and Forecast for the Middle Eastern Artificial Intelligence Server Market (2019-2035)
  • Table 10.8: Trends and Forecast for the South American Artificial Intelligence Server Market (2019-2035)
  • Table 10.9: Trends and Forecast for the African Artificial Intelligence Server Market (2019-2035)
  • Table 11.1: Product Mapping of Artificial Intelligence Server Suppliers Based on Segments
  • Table 11.2: Operational Integration of Artificial Intelligence Server Manufacturers
  • Table 11.3: Rankings of Suppliers Based on Artificial Intelligence Server Revenue
  • Table 12.1: New Product Launches by Major Artificial Intelligence Server Producers (2019-2025)
  • Table 12.2: Certification Acquired by Major Competitor in the Global Artificial Intelligence Server Market