세계의 AI 서버 시장 : 프로세서 유형별, 기능별, 냉각 기술별, 폼 팩터별, 전개별, 용도별, 최종 사용자별, 지역별 - 예측(-2030년)

The AI server market is expected to be worth USD 142.88 billion in 2024 and is estimated to reach USD 837.83 billion by 2030, growing at a CAGR of 34.3% between 2024 and 2030. The increasing adoption of machine learning (ML) and deep learning algorithms is a key driver for the AI server market, as businesses and industries rely more heavily on AI technologies for data analysis, automation, and decision-making. The rising adoption of cloud-based AI solutions is a another driver for the AI server market, as more industries leverage the scalability, flexibility, and cost-efficiency of cloud platforms to implement AI technologies. With cloud-based AI services, organizations no longer need to invest in expensive on-premise infrastructure, making AI accessible to businesses of all sizes. Cloud AI platforms like AWS, Microsoft Azure, and Google Cloud, enable businesses to deploy sophisticated AI models without the need for specialized in-house hardware, driving demand for cloud-based AI servers that can handle large-scale AI computations.

"Liquid cooling segment to hold the largest share in 2030."

Liquid cooling holds largest market share in the AI server market. The rapidly increasing demand of cooling for HPC and AI workloads are reshaping the server cooling landscape by adopting liquid cooling technology. Air cooling can't cope up with high heat loads generated by powerful GPUs and CPUs, while liquid cooling, especially direct-to-chip liquid cooling, provides superior thermal management. Liquid cooling is the most important solution in managing higher compute densities while maintaining energy efficiency. As AI adoption continues to grow, liquid cooling is expected to become standard in data centers with new deployment strategies and innovations in the whole supply chain. Servers Original Design Manufacturers (ODMs) are increasingly investing in liquid cooling where they now even accept the leakage risk, as they position themselves as leaders in this evolving ecosystem. Chilldyne, Inc. (US) launched their Liquid Cooling Starter Kit in July 2024 to enable data centers to transition rapidly to liquid cooling-supporting the shift toward next-generation AI and HPC workloads. These cooling technologies ensured stable and sustainable cooling for the cutting-edge AI systems, therefore supporting the trend to shift from air-cooling towards much more efficient liquid cooling solutions.

"Rack mounted servers by form factor is projected to grow at a high CAGR of AI server market during the forecasted timeline"

Rack-mounted AI servers are poised to grow rapidly in the AI server market. Applications for artificial intelligence have increasingly high complexity and data intensity, including handling large quantities of data and real-time decision-making. That is precisely where rackmounted servers are used to provide the required performance to handle the massive volumes of data in an efficient process. In addition, rapid advancements in cooling technologies and energy efficiency enable easy deployment of rack-mounted servers for even high-performance AI workloads. Rack mounted servers also simplify maintenance/upgrades procedure with stream-lined cabling and management tools, which reduce operation overheads. As the rising need for AI-driven solutions sweeps through industries in such a broad scale, from healthcare and finance to manufacturing and retail, rack mounted AI servers seem to be on an upward growth trend that is especially fueled by the adaptability, performance, and space-efficient utilization of data centers.

"Cloud segment is expected to have the highest share during the forecast period."

Cloud-based deployment dominates the AI server market through flexibility, cost efficiency, access to advanced capabilities of AI, and is critical for businesses adopting AI at scale. Companies can scale their AI operations very quickly without highly investing in physical servers via a cloud infrastructure. For example, AWS provides Elastic Compute Cloud (EC2) instances that are specifically optimized for machine learning that allow businesses to ramp up and down based on the demand. Microsoft Azure contains AI tools such as Azure Machine Learning and Cognitive Services that have been widely designed to support complex model training and deployment with minimum time. CSPs also provide pre-built models and tools that reduce the development time for businesses and reduce technical barriers in various enterprises. In retail, for example, there is demand forecasting and personalized marketing. Healthcare organizations use cloud AI services for predictive analytics and diagnostics. These advantages make cloud-based AI deployments highly attractive and enable companies from all industries to utilize powerful, scalable, and flexible AI resources, making it the largest market share in the AI server market.

"North America is expected to hold high CAGR in during the forecast period."

North America will occupy high CAGR during the forecast period due to the presence of various AI server manufacturers, such NVIDIA Corporation (US), Dell Inc. (US), Hewlett Packard Enterprise Development LP (US), IBM (US), and Cisco Systems, Inc. (US), which contributes to the market's growth in this region. These firms are researching and developing AI servers and solutions, leading the region into the innovation front in technology. The growing trend of cloud computing has radically increased the economic impact of data center investments made by leading service providers such as Amazon Web Services, Inc. (AWS) (US), Meta (US), Google (US), and Microsoft (US). The competition for data center projects has increased in North America. The growth of emerging startups in the region further contribute to the developments in AI servers in the region. With a focus on harnessing the potential of artificial intelligence to drive economic growth, improve customer experiences, and address complex challenges, North America continues to be a hub for artificial intelligence innovation and entrepreneurship.

Extensive primary interviews were conducted with key industry experts in the AI server market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below: The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

• By Company Type: Tier 1 - 50%, Tier 2 - 20%, and Tier 3 - 30%
• By Designation: C-level Executives - 20%, Directors - 30%, and Others - 50%
• By Region: North America - 40%, Europe - 20%, Asia Pacific - 30%, and RoW - 10%

The report profiles key players in the AI server market with their respective market ranking analysis. Prominent players profiled in this report are Dell Inc. (US), Hewlett Packard Enterprise Development LP (US), Lenovo (Hong Kong), Huawei Technologies Co., Ltd. (China), IBM (US), H3C Technologies Co., Ltd. (China), Cisco Systems, Inc. (US), Super Micro Computer, Inc. (US), Fujitsu (Japan), INSPUR Co., Ltd. (China) among others.

Apart from this, ADLINK Technology Inc. (Taiwan), Advanced Micro Devices, Inc. (US), Quanta Computer lnc. (Taiwan), WISTRON CORPORATION (Taiwan), GIGABIT Technologies Pvt. Ltd. (Taiwan), ASUSTeK Computer Inc. (Taiwan), Aivres (US), AIME (Germany), Wiwynn Corporation (Taiwan), MiTAC Computing Technology Corporation (Taiwan), NEC Corporation India Private Limited (India), XENON Systems Pty Ltd (Australia), Graphcore (UK), and 2CRSi Group (France) are among a few emerging companies in the AI server market.

Research Coverage: This research report categorizes the AI server market based on processor type, function, cooling technology, form factor, deployment, application, end user, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI server market and forecasts the same till 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI server ecosystem.

Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI server market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Analysis of key drivers (Increase in data traffic and need for high computing power; Increasing adoption of machine learning and deep learning algorithms, and Rising adoption of cloud-based AI solutions across industries) influencing the growth of the AI server market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI server market.
• Market Development: Comprehensive information about lucrative markets - the report analysis the AI server market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI server market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Dell Inc. (US), Hewlett Packard Enterprise Development LP (US), Lenovo (Hong Kong), Huawei Technologies Co., Ltd. (China), IBM (US) among others in the AI server market.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 UNITS CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 List of major secondary sources
    • 2.1.1.2 Key data from secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 List of primary interview participants
    • 2.1.2.2 Breakdown of primaries
    • 2.1.2.3 Key data from primary sources
    • 2.1.2.4 Key industry insights
  • 2.1.3 SECONDARY AND PRIMARY RESEARCH
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side)
  • 2.2.2 TOP-DOWN APPROACH
    • 2.2.2.1 Approach to estimate market size using top-down analysis (supply side)
• 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
• 2.4 RESEARCH ASSUMPTIONS
• 2.5 RISK ASSESSMENT
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SERVER MARKET
• 4.2 AI SERVER MARKET, BY PROCESSOR TYPE
• 4.3 AI SERVER MARKET, BY FUNCTION
• 4.4 AI SERVER MARKET, BY COOLING TECHNOLOGY
• 4.5 AI SERVER MARKET, BY FORM FACTOR
• 4.6 AI SERVER MARKET, BY DEPLOYMENT
• 4.7 AI SERVER MARKET, BY APPLICATION
• 4.8 AI SERVER MARKET, BY END USER
• 4.9 AI SERVER MARKET, BY COUNTRY
• 4.10 AI SERVER MARKET, BY REGION

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Increase in data traffic and need for high computing power
    • 5.2.1.2 Increasing adoption of machine learning and deep learning algorithms
    • 5.2.1.3 Rising adoption of cloud-based AI solutions across industries
    • 5.2.1.4 Advancements in GPU and ASIC technologies for AI acceleration
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 High initial costs of AI server hardware and infrastructure
    • 5.2.2.2 Shortage of AI hardware experts and skilled workforce
    • 5.2.2.3 Power consumption and cooling challenges for high-density AI servers
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Growing potential of AI in healthcare sector
    • 5.2.3.2 Increasing investments in data centers by cloud service providers
    • 5.2.3.3 Growing demand for AI-as-a-Service (AIaaS) platforms
    • 5.2.3.4 Increasing adoption of AI in small and medium-sized enterprises (SMEs)
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Data security and privacy concerns
    • 5.2.4.2 Supply chain disruptions
• 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.4 PRICING ANALYSIS
  • 5.4.1 AVERAGE SELLING PRICE OF KEY PLAYERS, BY PROCESSOR TYPE
  • 5.4.2 AVERAGE SELLING PRICE TREND, BY REGION
• 5.5 VALUE CHAIN ANALYSIS
• 5.6 ECOSYSTEM ANALYSIS
• 5.7 INVESTMENT AND FUNDING SCENARIO
• 5.8 TECHNOLOGY ANALYSIS
  • 5.8.1 KEY TECHNOLOGIES
    • 5.8.1.1 High-performance computing (HPC)
    • 5.8.1.2 High bandwidth memory (HBM)
    • 5.8.1.3 GenAI workload
  • 5.8.2 COMPLEMENTARY TECHNOLOGIES
    • 5.8.2.1 Data center power management and cooling system
    • 5.8.2.2 High-speed interconnects
  • 5.8.3 ADJACENT TECHNOLOGIES
    • 5.8.3.1 AI development frameworks
    • 5.8.3.2 Quantum AI
• 5.9 SERVER COST STRUCTURE/BILL OF MATERIAL (BOM)
  • 5.9.1 GPU SERVER
• 5.10 AI SERVER'S CURRENT PENETRATION AND GROWTH FORECAST
• 5.11 UPCOMING DEPLOYMENTS OF DATA CENTER BY CLOUD SERVICE PROVIDERS
• 5.12 CLOUD SERVICE PROVIDERS' CAPEX
• 5.13 PROCESSOR BENCHMARKING
  • 5.13.1 GPU BENCHMARKING
  • 5.13.2 CPU BENCHMARKING
• 5.14 PATENT ANALYSIS
• 5.15 TRADE ANALYSIS
  • 5.15.1 IMPORT SCENARIO (HS CODE 847150)
  • 5.15.2 EXPORT SCENARIO (HS CODE 847150)
• 5.16 KEY CONFERENCES AND EVENTS, 2024-2025
• 5.17 CASE STUDY ANALYSIS
  • 5.17.1 AIVRES' HIGH-PERFORMANCE COMPUTING SERVER ACCELERATES AI SOLUTION DEVELOPMENT
  • 5.17.2 SEEWEB COLLABORATED WITH LENOVO AND NVIDIA TO LAUNCH GPU-COMPUTING-AS-A-SERVICE MODEL FOR EXPANDING AI ACCESSIBILITY
  • 5.17.3 SHARONAI EXPANDS AI INFRASTRUCTURE WITH LENOVO TRUSCALE, DEPLOYING HUNDREDS OF GPU-DENSE SERVERS
  • 5.17.4 SERVING INFERENCE FOR LLMS: A CASE STUDY WITH NVIDIA TRITON INFERENCE SERVER AND ELEUTHER AI
  • 5.17.5 APPLIED DIGITAL CORPORATION EXPANDED AI CAPABILITIES WITH SUPERMICRO SERVERS
• 5.18 REGULATORY LANDSCAPE
  • 5.18.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.18.2 STANDARDS
• 5.19 PORTER'S FIVE FORCES ANALYSIS
  • 5.19.1 THREAT OF NEW ENTRANTS
  • 5.19.2 THREAT OF SUBSTITUTES
  • 5.19.3 BARGAINING POWER OF SUPPLIERS
  • 5.19.4 BARGAINING POWER OF BUYERS
  • 5.19.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.20 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.20.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.20.2 BUYING CRITERIA

6 AI SERVER MARKET, BY PROCESSOR TYPE

• 6.1 INTRODUCTION
• 6.2 GPU-BASED SERVERS
  • 6.2.1 INCREASING INTEGRATION OF GPU-BASED AI SERVER BY CLOUD PROVIDERS TO BOOST MARKET
• 6.3 FPGA-BASED SERVERS
  • 6.3.1 GROWING NEED FOR FLEXIBILITY AND CUSTOMIZATION FOR AI WORKLOADS TO DRIVE DEMAND FOR FPGA-BASED SERVERS
• 6.4 ASIC-BASED SERVERS
  • 6.4.1 RISING DEMAND FOR CUSTOMIZED, HIGH-PERFORMANCE AI PROCESSING TO FUEL ADOPTION OF ASIC-BASED SERVERS

7 AI SERVER MARKET, BY FUNCTION

• 7.1 INTRODUCTION
• 7.2 TRAINING
  • 7.2.1 SURGE IN DEEP LEARNING TECHNOLOGIES TO DRIVE AI SERVER MARKET GROWTH
• 7.3 INFERENCE
  • 7.3.1 SHIFT TOWARDS EDGE COMPUTING TO BOOST DEMAND FOR AI INFERENCE SERVERS

8 AI SERVER MARKET, BY COOLING TECHNOLOGY

• 8.1 INTRODUCTION
• 8.2 AIR COOLING
  • 8.2.1 COST-EFFECTIVE AND SIMPLE INSTALLATION OF AIR COOLING TECHNOLOGY TO DRIVE DEMAND
• 8.3 LIQUID COOLING
  • 8.3.1 INCREASING COOLING DEMANDS OF HPC AND AI WORKLOADS TO FUEL MARKET
• 8.4 HYBRID COOLING
  • 8.4.1 RISE OF AI-DRIVEN MACHINE LEARNING, NATURAL LANGUAGE PROCESSING, AND COMPUTER VISION TO BOOST DEMAND

9 AI SERVER MARKET, BY FORM FACTOR

• 9.1 INTRODUCTION
• 9.2 RACK-MOUNTED SERVERS
  • 9.2.1 ADVANCEMENTS IN COOLING TECHNOLOGIES AND ENERGY EFFICIENCY TO DRIVE DEMAND FOR RACK-MOUNTED AI SERVERS
• 9.3 BLADE SERVERS
  • 9.3.1 INCREASING DEMAND FOR HANDLING AI WORKLOADS IN HEALTHCARE, FINANCE, AND AUTOMOTIVE INDUSTRIES TO DRIVE MARKET
• 9.4 TOWER SERVERS
  • 9.4.1 INCREASED USE IN MACHINE LEARNING, DATA ANALYTICS, AND SMALLER-SCALE AI INFERENCING TASKS TO BOOST DEMAND

10 AI SERVER MARKET, BY DEPLOYMENT

• 10.1 INTRODUCTION
• 10.2 ON-PREMISES
  • 10.2.1 INCREASING IMPLEMENTATION IN HEALTHCARE AND FINANCE SECTORS TO DRIVE MARKET
• 10.3 CLOUD
  • 10.3.1 ABILITY TO RAPIDLY ADAPT TO FLUCTUATING WORKLOADS WITHOUT HEAVY UPFRONT INVESTMENTS TO DRIVE GROWTH

11 AI SERVER MARKET, BY APPLICATION

• 11.1 INTRODUCTION
• 11.2 GENERATIVE AI
  • 11.2.1 RULE-BASED MODELS
    • 11.2.1.1 Growing use in finance, healthcare, or legal systems to drive market
  • 11.2.2 STATISTICAL MODELS
    • 11.2.2.1 Increasing availability of vast datasets from IoT devices, social media, and public health data to drive demand
  • 11.2.3 DEEP LEARNING
    • 11.2.3.1 Proliferation of AI in healthcare, automotive, and consumer electronics to boost demand
  • 11.2.4 GENERATIVE ADVERSARIAL NETWORKS (GANS)
    • 11.2.4.1 Increasing need for high-quality, scalable data generation to support market growth
  • 11.2.5 AUTOENCODERS
    • 11.2.5.1 Increasing use in cloud and edge computing to enhance server performance to drive demand
  • 11.2.6 CONVOLUTIONAL NEURAL NETWORKS (CNNS)
    • 11.2.6.1 Proliferation of visual data through smart devices, security cameras, and self-driving cars to drive market
  • 11.2.7 TRANSFORMER MODELS
    • 11.2.7.1 Availability of large-scale datasets and advancements in data storage technologies to fuel market
• 11.3 MACHINE LEARNING
  • 11.3.1 RAPID ADVANCEMENT AND DEPLOYMENT OF ML MODELS TO BOOST DEMAND
• 11.4 NATURAL LANGUAGE PROCESSING
  • 11.4.1 INCREASING NEED FOR REAL-TIME REQUIREMENTS OF NLP APPLICATIONS TO SUPPORT MARKET GROWTH
• 11.5 COMPUTER VISION
  • 11.5.1 SURGE IN COMPUTER VISION APPLICATIONS IN SECURITY, HEALTHCARE, AUTOMOTIVE, AND RETAIL FUELING DEMAND FOR AI SERVERS

12 AI SERVER MARKET, BY END USER

• 12.1 INTRODUCTION
• 12.2 CLOUD SERVICE PROVIDERS
  • 12.2.1 SURGING AI WORKLOADS AND CLOUD ADOPTION TO STIMULATE MARKET GROWTH
• 12.3 ENTERPRISES
  • 12.3.1 HEALTHCARE
    • 12.3.1.1 Integration of AI for computer-aided drug discovery to foster market growth
  • 12.3.2 BFSI
    • 12.3.2.1 Growing need for fraud detection in financial institutions to boost demand
  • 12.3.3 AUTOMOTIVE
    • 12.3.3.1 Growing focus on safety, efficiency, and enhanced driving experiences to drive growth
  • 12.3.4 RETAIL & E-COMMERCE
    • 12.3.4.1 Personalized shopping experiences and improved customer service to offer lucrative growth opportunities
  • 12.3.5 MEDIA & ENTERTAINMENT
    • 12.3.5.1 Real-time analysis of viewer preferences, engagement patterns, and demographic information to augment market growth
  • 12.3.6 OTHERS
    • 12.3.6.1 Proliferation of visual data through smart devices, security cameras, and self-driving cars to drive demand
• 12.4 GOVERNMENT ORGANIZATIONS
  • 12.4.1 INCREASING USE OF AI IN NATIONAL SECURITY AND DEFENSE TO DRIVE MARKET GROWTH

13 AI SERVER MARKET, BY REGION

• 13.1 INTRODUCTION
• 13.2 NORTH AMERICA
  • 13.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 13.2.2 US
    • 13.2.2.1 Government-led initiatives to boost semiconductor manufacturing to drive market
  • 13.2.3 CANADA
    • 13.2.3.1 Growing emphasis on commercializing AI to fuel demand
  • 13.2.4 MEXICO
    • 13.2.4.1 Increasing shift toward digital platforms and cloud-based solutions to accelerate demand
• 13.3 EUROPE
  • 13.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 13.3.2 UK
    • 13.3.2.1 Growing investments in data center infrastructure to boost demand
  • 13.3.3 GERMANY
    • 13.3.3.1 Presence of robust industrial base to offer lucrative growth opportunities
  • 13.3.4 FRANCE
    • 13.3.4.1 Increasing number of AI startups to accelerate demand for AI servers
  • 13.3.5 ITALY
    • 13.3.5.1 Growing adoption of digitalization in automotive and healthcare sectors to drive market
  • 13.3.6 SPAIN
    • 13.3.6.1 Growing collaborations and partnerships among AI manufacturers to support market growth
  • 13.3.7 REST OF EUROPE
• 13.4 ASIA PACIFIC
  • 13.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 13.4.2 CHINA
    • 13.4.2.1 Surge in research funding and implementation of supportive regulatory policy to augment market growth
  • 13.4.3 JAPAN
    • 13.4.3.1 Rising adoption of AI servers to advance robotics systems to offer lucrative growth opportunities
  • 13.4.4 SOUTH KOREA
    • 13.4.4.1 Thriving semiconductor industry in South Korea to drive market for AI servers
  • 13.4.5 INDIA
    • 13.4.5.1 Government-led initiatives to boost AI infrastructure to foster market growth
  • 13.4.6 REST OF ASIA PACIFIC
• 13.5 ROW
  • 13.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 13.5.2 MIDDLE EAST
    • 13.5.2.1 Growing emphasis on digital transformation and technological innovation to drive market growth
    • 13.5.2.2 GCC countries
    • 13.5.2.3 Rest of Middle East
  • 13.5.3 AFRICA
    • 13.5.3.1 Rising internet penetration and mobile subscriptions to offer lucrative growth opportunities
  • 13.5.4 SOUTH AMERICA
    • 13.5.4.1 Growing need to store vast amounts of data to boost demand

14 COMPETITIVE LANDSCAPE

• 14.1 OVERVIEW
• 14.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2024
• 14.3 REVENUE ANALYSIS
• 14.4 MARKET SHARE ANALYSIS, 2023
• 14.5 COMPANY VALUATION AND FINANCIAL METRICS
• 14.6 BRAND/PRODUCT COMPARISON
• 14.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  • 14.7.1 STARS
  • 14.7.2 EMERGING LEADERS
  • 14.7.3 PERVASIVE PLAYERS
  • 14.7.4 PARTICIPANTS
  • 14.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
    • 14.7.5.1 Company footprint
    • 14.7.5.2 Region footprint
    • 14.7.5.3 Processor type footprint
    • 14.7.5.4 Function footprint
    • 14.7.5.5 Cooling technology footprint
    • 14.7.5.6 Form factor footprint
    • 14.7.5.7 Deployment footprint
    • 14.7.5.8 Application footprint
    • 14.7.5.9 End user footprint
• 14.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
  • 14.8.1 PROGRESSIVE COMPANIES
  • 14.8.2 RESPONSIVE COMPANIES
  • 14.8.3 DYNAMIC COMPANIES
  • 14.8.4 STARTING BLOCKS
  • 14.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    • 14.8.5.1 Detailed list of key startups/SMEs
    • 14.8.5.2 Competitive benchmarking of key startups/SMEs
• 14.9 COMPETITIVE SCENARIO AND TRENDS
  • 14.9.1 PRODUCT LAUNCHES
  • 14.9.2 DEALS
  • 14.9.3 EXPANSIONS

15 COMPANY PROFILES

• 15.1 KEY PLAYERS
  • 15.1.1 DELL INC.
    • 15.1.1.1 Business overview
    • 15.1.1.2 Products offered
    • 15.1.1.3 Recent developments
      • 15.1.1.3.1 Deals
    • 15.1.1.4 MnM view
      • 15.1.1.4.1 Key strengths
      • 15.1.1.4.2 Strategic choices
      • 15.1.1.4.3 Weaknesses and competitive threats
  • 15.1.2 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    • 15.1.2.1 Business overview
    • 15.1.2.2 Products offered
    • 15.1.2.3 Recent developments
      • 15.1.2.3.1 Product launches
      • 15.1.2.3.2 Deals
    • 15.1.2.4 MnM view
      • 15.1.2.4.1 Key strengths
      • 15.1.2.4.2 Strategic choices
      • 15.1.2.4.3 Weaknesses and competitive threats
  • 15.1.3 LENOVO
    • 15.1.3.1 Business overview
    • 15.1.3.2 Products offered
    • 15.1.3.3 Recent developments
      • 15.1.3.3.1 Product launches
      • 15.1.3.3.2 Deals
      • 15.1.3.3.3 Expansions
    • 15.1.3.4 MnM view
      • 15.1.3.4.1 Key strengths
      • 15.1.3.4.2 Strategic choices
      • 15.1.3.4.3 Weaknesses and competitive threats
  • 15.1.4 HUAWEI TECHNOLOGIES CO., LTD.
    • 15.1.4.1 Business overview
    • 15.1.4.2 Products offered
    • 15.1.4.3 Recent developments
      • 15.1.4.3.1 Deals
    • 15.1.4.4 MnM view
      • 15.1.4.4.1 Key strengths
      • 15.1.4.4.2 Strategic choices
      • 15.1.4.4.3 Weaknesses and competitive threats
  • 15.1.5 IBM
    • 15.1.5.1 Business overview
    • 15.1.5.2 Products offered
    • 15.1.5.3 Recent developments
      • 15.1.5.3.1 Product launches
      • 15.1.5.3.2 Deals
    • 15.1.5.4 MnM view
      • 15.1.5.4.1 Key strengths
      • 15.1.5.4.2 Strategic choices
      • 15.1.5.4.3 Weaknesses and competitive threats
  • 15.1.6 H3C TECHNOLOGIES CO., LTD.
    • 15.1.6.1 Business overview
    • 15.1.6.2 Products offered
    • 15.1.6.3 Recent developments
      • 15.1.6.3.1 Product launches
      • 15.1.6.3.2 Deals
  • 15.1.7 CISCO SYSTEMS, INC.
    • 15.1.7.1 Business overview
    • 15.1.7.2 Products offered
    • 15.1.7.3 Recent developments
      • 15.1.7.3.1 Product launches
      • 15.1.7.3.2 Deals
  • 15.1.8 SUPER MICRO COMPUTER, INC.
    • 15.1.8.1 Business overview
    • 15.1.8.2 Products offered
    • 15.1.8.3 Recent developments
      • 15.1.8.3.1 Product launches
      • 15.1.8.3.2 Deals
  • 15.1.9 FUJITSU
    • 15.1.9.1 Business overview
    • 15.1.9.2 Products offered
    • 15.1.9.3 Recent developments
      • 15.1.9.3.1 Deals
  • 15.1.10 INSPUR CO., LTD.
    • 15.1.10.1 Business overview
    • 15.1.10.2 Products offered
    • 15.1.10.3 Recent developments
      • 15.1.10.3.1 Product launches
      • 15.1.10.3.2 Deals
• 15.2 OTHER PLAYERS
  • 15.2.1 NVIDIA CORPORATION
  • 15.2.2 ADLINK TECHNOLOGY INC.
  • 15.2.3 ADVANCED MICRO DEVICES, INC.
  • 15.2.4 QUANTA COMPUTERS
  • 15.2.5 WISTRON CORPORATION
  • 15.2.6 GIGABIT TECHNOLOGIES PVT LTD.
  • 15.2.7 ASUSTEK COMPUTER INC.
  • 15.2.8 AIVRES
  • 15.2.9 AIME
  • 15.2.10 WIWYNN CORPORATION
  • 15.2.11 MITAC COMPUTING TECHNOLOGY CORPORATION
  • 15.2.12 NEC CORPORATION INDIA PRIVATE LIMITED
  • 15.2.13 XENON SYSTEMS PTY LTD.
  • 15.2.14 GRAPHCORE
  • 15.2.15 2CRSI GROUP

16 APPENDIX

• 16.1 DISCUSSION GUIDE
• 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 16.3 CUSTOMIZATION OPTIONS
• 16.4 RELATED REPORTS
• 16.5 AUTHOR DETAILS