세계의 AI 데이터센터 시장 : 제공 제품별, 데이터센터 유형별, 전개 형태별, 용도별, 최종사용자별, 지역별 - 예측(-2030년)

The global AI data center market is anticipated to grow from USD 236.44 billion in 2025 to USD 933.76 billion by 2030, registering a CAGR of 31.6% during the forecast period.

The AI data center market is witnessing strong growth due to the rising demand for AI workloads across healthcare, finance, and manufacturing sectors. These workloads require high-performance computing infrastructure to process complex algorithms and large-scale data sets in real-time. Companies are investing in AI-optimized data centers that integrate GPUs, TPUs, and advanced storage systems to meet this demand. However, one main constraint is the high implementation cost associated with setting up AI-centric data centers, including investment in specialized hardware, advanced cooling systems, and skilled personnel. This can be a barrier, particularly for small and mid-sized enterprises. An emerging opportunity lies in the increasing adoption of green AI data centers as organizations focus on sustainability and energy efficiency.

By offering, the compute server segment is projected to hold the highest market share during the forecast period.

The compute server segment is expected to hold the highest market share in the AI data center market during the forecast period due to its critical role in executing AI workloads. AI applications such as deep learning, natural language processing, and computer vision require massive computational power, which is primarily delivered by high-performance compute servers equipped with GPUs, TPUs, or custom AI accelerators. These servers enable parallel processing and real-time data analysis, which are essential for training and inference tasks.

As enterprises across industries increasingly deploy AI for automation, analytics, and innovation, the demand for compute servers tailored for AI continues to surge.

Another contributing factor is the increasing use of AI in hyperscale data centers, where large volumes of data are processed continuously. To meet such performance needs, compute servers are becoming the backbone of modern AI data centers. This widespread applicability and critical functionality make compute servers the dominant segment in this market.

"Enterprises segment by end user is anticipated to record the highest CAGR during the forecast period."

The enterprise segment is expected to register the highest CAGR in the AI data center market during the forecast period due to the rapid digital transformation across industries and the increasing need for intelligent, data-driven decision-making. Enterprises are deploying AI workloads for various applications such as predictive maintenance, customer analytics, fraud detection, and automation of business processes. They are investing in AI-optimized data centers that offer high computational power, scalable storage, and faster data processing to support these capabilities.

Unlike hyperscalers that already have established infrastructure, enterprises are now actively building or partnering to develop AI-focused infrastructure to stay competitive. For instance, financial institutions use AI data centers for real-time risk assessment, while healthcare firms apply them for faster diagnostics and drug discovery. Moreover, the growing availability of AI-as-a-Service (AIaaS) is allowing mid-sized and even smaller enterprises to adopt AI capabilities without large upfront investments.

Government incentives for digital innovation and AI adoption in sectors like manufacturing and transportation are also pushing enterprise AI infrastructure investments. As enterprises scale their AI usage and move toward hybrid cloud and edge deployments, the demand for robust, secure, and energy-efficient AI data center infrastructure is growing rapidly-driving high CAGR in this segment.

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By region, North America is projected to account for the second-highest market share during the forecast period.

North America is expected to hold the second-highest market share in the AI data center market during the forecast period, driven by its advanced digital infrastructure, strong ecosystem of AI innovation, and high concentration of technology companies. The region is home to leading cloud and AI service providers such as Amazon Web Services (AWS) (US), Microsoft (US), Google (US), and IBM (US), all of which are continuously expanding their AI-optimized data center capabilities to support next-generation applications.

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Furthermore, initiatives like the US CHIPS and Science Act and various AI funding programs promote domestic AI infrastructure development and foster regional growth. The presence of key AI chip manufacturers, including NVIDIA and Intel, adds to the region's strategic strength in AI data center development.

While the Asia Pacific region is projected to lead due to its rapid digitalization and growing population, North America's established AI ecosystem and ongoing investments in hyperscale data centers position it as a strong contender with the second-highest market share.

Extensive primary interviews were conducted with key industry experts in the AI data center market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is 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 - 55%, Tier 2 - 20%, and Tier 3 - 25%
• By Designation - C-level Executives - 30%, Directors - 30%, and Others - 40%
• By Region - Asia Pacific - 30%, Europe - 20%, North America - 40%, and RoW - 10%

Note: Other designations include technology heads, media analysts, sales managers, marketing managers, and product managers.

The three tiers of companies are based on their total revenues as of 2024 -Tier : >USD 1 billion, Tier 2: USD 500 million to 1 billion, and Tier 3: <USD 500 million.

The AI data center is dominated by a few globally established players: Dell Inc. (US), Hewlett Packard Enterprise Development LP (US), Lenovo (US), Huawei Technologies Co., Ltd (China), IBM (US), Super Micro Computer, Inc. (US), IEIT SYSTEMS CO., LTD. (China), H3C Technologies Co., Ltd. (China), Cisco Systems, Inc. (US), Fujitsu (Japan), ABB (Switzerland), Schneider Electric (France), Vertiv Group Corp. (US), DUG Technology (Australia), MiTAC Holdings Corp. (Taiwan).

The study includes an in-depth competitive analysis of these key players in the AI data center market, with their company profiles, recent developments, and key market strategies.

Research Coverage:

The report segments the AI data center market. It forecasts its size by offering (compute server, storage, network switches, cooling, power, data center infrastructure management (DCIM)), data center type (hyperscale, colocation, others (edge, enterprise, hybrid)), deployment (on-premises, cloud, hybrid), application (generative AI, machine learning, natural language processing, computer vision), and end user (cloud service providers, enterprises (healthcare, BSFI, automotive, retail & e-commerce, media & entertainment, and others.

It also discusses the market's drivers, restraints, opportunities, and challenges. It gives a detailed view of the market across four main regions (North America, Europe, Asia Pacific, and RoW). The report includes an ecosystem analysis of key players.

Key Benefits of Buying the Report:

• Analysis of key drivers (Rising demand for AI workloads, data explosion, and big data analytics, Increasing government investments and regulations, growing demand for AI-as-a-Service (AlaaS) restraints (High implementation costs, Data privacy and cyber security concerns), opportunities (Rising adoption of green AI data centers, Increasing demand for hyperscale data center, challenges (Supply chain disruptions, Energy consumption and environmental concerns)
• Service Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the AI data center market
• Market Development: Comprehensive information about lucrative markets through the analysis of the AI data center market across varied regions
• Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the AI data center market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, such as Dell Inc. (US), Hewlett Packard Enterprise Development LP (US), Lenovo (US), Huawei Technologies Co., Ltd (China), IBM (US), Super Micro Computer, Inc. (US), IEIT SYSTEMS CO., LTD. (China), among others

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 UNIT CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS

2 RESEARCH METHODOLOGY

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

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI DATA CENTER MARKET
• 4.2 AI DATA CENTER MARKET, BY OFFERING
• 4.3 AI DATA CENTER MARKET, BY DATA CENTER TYPE
• 4.4 AI DATA CENTER MARKET, BY DEPLOYMENT
• 4.5 AI DATA CENTER MARKET, BY REGION
• 4.6 AI DATA CENTER MARKET, BY COUNTRY

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rising demand for AI workloads
    • 5.2.1.2 Explosion of data and growing reliance on big data analytics
    • 5.2.1.3 Government-led investments in AI data centers
    • 5.2.1.4 Growing demand for AI-as-a-Service
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 High implementation costs
    • 5.2.2.2 Concerns regarding data breaches and unauthorized access
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Rising adoption of green AI data centers
    • 5.2.3.2 Increasing demand for hyperscale data centers
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Supply chain disruptions
    • 5.2.4.2 High energy consumption and environmental concerns
• 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.4 PRICING ANALYSIS
  • 5.4.1 PRICING RANGE OF COMPUTE SERVERS, BY KEY PLAYER, 2024
  • 5.4.2 PRICING RANGE OF GPU-BASED COMPUTE SERVERS, BY REGION, 2021-2024
• 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 Generative AI
    • 5.8.1.2 AI-optimized cloud platforms
  • 5.8.2 COMPLEMENTARY TECHNOLOGIES
    • 5.8.2.1 Edge computing
    • 5.8.2.2 Cybersecurity
  • 5.8.3 ADJACENT TECHNOLOGIES
    • 5.8.3.1 Big data
• 5.9 PATENT ANALYSIS
• 5.10 TRADE ANALYSIS
  • 5.10.1 IMPORT SCENARIO (HS CODE 847150)
  • 5.10.2 EXPORT SCENARIO (HS CODE 847150)
• 5.11 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.12 CASE STUDY ANALYSIS
  • 5.12.1 HYPERACCEL DEPLOYS AMD EPYC PROCESSORS THAT OFFER HIGH CORE COUNTS, SUPERIOR MEMORY BANDWIDTH, AND ENERGY EFFICIENCY
  • 5.12.2 KT CLOUD BUILDS SCALABLE AI PLATFORM USING AMD MI250 GPUS
  • 5.12.3 BMW LEVERAGES GEN AI AND NVIDIA TOOLS TO OPTIMIZE PRODUCTION
  • 5.12.4 SIEMENS PARTNERS WITH MICROSOFT TO DELIVER AI-ENHANCED SOLUTIONS FOR RESILIENT PRODUCT LIFECYCLE MANAGEMENT WITH AZURE
  • 5.12.5 PERPLEXITY DEPLOYS HIGH-EFFICIENCY LLM INFERENCE WITH NVIDIA H100 GPUS
• 5.13 REGULATORY LANDSCAPE
  • 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13.2 STANDARDS
• 5.14 PORTER'S FIVE FORCES ANALYSIS
  • 5.14.1 THREAT OF NEW ENTRANTS
  • 5.14.2 THREAT OF SUBSTITUTES
  • 5.14.3 BARGAINING POWER OF SUPPLIERS
  • 5.14.4 BARGAINING POWER OF BUYERS
  • 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.15.2 BUYING CRITERIA
• 5.16 IMPACT OF 2025 US TARIFF ON AI DATA CENTER MARKET
  • 5.16.1 INTRODUCTION
  • 5.16.2 KEY TARIFF RATES
  • 5.16.3 IMPACT ON COUNTRY/REGION
    • 5.16.3.1 US
    • 5.16.3.2 Europe
    • 5.16.3.3 Asia Pacific
  • 5.16.4 EXEMPTIONS FOR GPUS UNDER USMCA AGREEMENT
  • 5.16.5 IMPACT ON END USERS

6 AI DATA CENTER MARKET, BY OFFERING

• 6.1 INTRODUCTION
• 6.2 COMPUTE SERVER
  • 6.2.1 GPU-BASED SERVER
    • 6.2.1.1 Ability to process massive datasets and run intricate algorithms efficiently to drive market
  • 6.2.2 FPGA-BASED SERVERS
    • 6.2.2.1 Integration into cloud and data center infrastructures to enhance AI processing capabilities to fuel market growth
  • 6.2.3 ASIC-BASED SERVER
    • 6.2.3.1 Efficient execution of predefined tasks to boost demand
• 6.3 STORAGE SOLUTIONS
  • 6.3.1 PROLIFERATION OF GENERATIVE AI MODELS TO SPUR DEMAND
• 6.4 NETWORK SWITCHES
  • 6.4.1 GROWING COMPLEXITY IN AI WORKLOADS AND DATA-INTENSIVE APPLICATIONS TO SUPPORT MARKET GROWTH
• 6.5 COOLING SOLUTIONS
  • 6.5.1 ROOM-BASED COOLING
    • 6.5.1.1 Ability to provide scalable and cost-effective cooling solutions to fuel market growth
  • 6.5.2 RACK-BASED COOLING
    • 6.5.2.1 Increasing focus on reducing carbon footprints and adherence to green data center initiatives to foster market growth
• 6.6 POWER SOLUTIONS
  • 6.6.1 UNINTERRUPTIBLE POWER SUPPLY (UPS)
    • 6.6.1.1 Expansion of hyperscale and colocation data centers to offer lucrative growth opportunities
  • 6.6.2 POWER DISTRIBUTION UNIT (PDU)
    • 6.6.2.1 Increasing adoption of intelligent PDUs with AI-powered monitoring capabilities to boost demand
• 6.7 DCIM
  • 6.7.1 DCIM SOFTWARE
    • 6.7.1.1 Ability to support remote management to boost demand
  • 6.7.2 DCIM SERVICES
    • 6.7.2.1 Design and consulting
      • 6.7.2.1.1 Growing need to manage computational workloads, ensure resilience, and maintain high operational standards to drive market
    • 6.7.2.2 Integration and deployment
      • 6.7.2.2.1 Integration of AI-powered monitoring tools and automation systems to support market growth
    • 6.7.2.3 Support and maintenance
      • 6.7.2.3.1 Minimized disruptions and operational continuity to fuel market growth

7 AI DATA CENTER MARKET, BY DATA CENTER TYPE

• 7.1 INTRODUCTION
• 7.2 HYPERSCALE DATA CENTER
  • 7.2.1 RAPID DEPLOYMENT OF 5G NETWORKS AND SURGE IN DATA TRAFFIC AND CONNECTIVITY TO FUEL MARKET GROWTH
• 7.3 COLOCATION DATA CENTER
  • 7.3.1 SURGING ADOPTION OF AI AND CLOUD-BASED DIGITAL TRANSFORMATION STRATEGIES TO FUEL MARKET GROWTH
• 7.4 OTHER DATA CENTER TYPES

8 AI DATA CENTER MARKET, BY DEPLOYMENT

• 8.1 INTRODUCTION
• 8.2 ON-PREMISES
  • 8.2.1 INCREASING EMPHASIS ON REGULATORY COMPLIANCES AND DATA SOVEREIGNTY TO SUPPORT MARKET GROWTH
• 8.3 CLOUD-BASED
  • 8.3.1 GROWING INTEGRATION OF ADVANCED AI CAPABILITIES TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
• 8.4 HYBRID
  • 8.4.1 INCREASING APPLICATION IN FINANCE AND HEALTHCARE SECTORS TO BOOST DEMAND

9 AI DATA CENTER MARKET, BY APPLICATION

• 9.1 INTRODUCTION
• 9.2 GENERATIVE AI
  • 9.2.1 RULE-BASED MODELS
    • 9.2.1.1 Increasing application in banking, insurance, and government sectors to fuel market growth
  • 9.2.2 STATISTICAL MODELS
    • 9.2.2.1 Growing reliance on real-time analytics and data-driven decision-making to spur demand
  • 9.2.3 DEEP LEARNING
    • 9.2.3.1 Rising popularity of AI chatbots and virtual assistants to drive market
  • 9.2.4 GENERATIVE ADVERSARIAL NETWORKS (GANS)
    • 9.2.4.1 Ability to generate realistic synthetic data to foster market growth
  • 9.2.5 AUTOENCODERS
    • 9.2.5.1 Increasing application in healthcare, cybersecurity, and manufacturing industries to foster market growth
  • 9.2.6 CONVOLUTIONAL NEURAL NETWORKS (CNNS)
    • 9.2.6.1 Growing emphasis on developing deepDream and visualization tools to offer lucrative growth opportunities
  • 9.2.7 TRANSFORMER MODELS
    • 9.2.7.1 Increasing popularity of GPT models and BERT to boost demand
• 9.3 MACHINE LEARNING
  • 9.3.1 INCREASING DEMAND FOR AI-POWERED SOLUTIONS AND RAPID ADVANCEMENTS IN AI HARDWARE TO FOSTER MARKET GROWTH
• 9.4 NATURAL LANGUAGE PROCESSING
  • 9.4.1 GROWING DEMAND FOR PERSONALIZED AND INTELLIGENT LANGUAGE-BASED SOLUTIONS TO ACCELERATE MARKET GROWTH
• 9.5 COMPUTER VISION
  • 9.5.1 PROLIFERATION OF AI-POWERED DEVICES TO DRIVE MARKET

10 AI DATA CENTER MARKET, BY END USER

• 10.1 INTRODUCTION
• 10.2 CLOUD SERVICE PROVIDERS
  • 10.2.1 INCREASING ADOPTION OF AI-AS-A-SERVICE SOLUTIONS TO DRIVE MARKET
• 10.3 ENTERPRISES
  • 10.3.1 HEALTHCARE
    • 10.3.1.1 Growing adoption of AI for personalized medicine, genomics research, and predictive analytics to drive market
  • 10.3.2 BFSI
    • 10.3.2.1 Rising need for real-time insights, fraud detection, and automated financial services to support market growth
  • 10.3.3 AUTOMOTIVE
    • 10.3.3.1 Proliferation of connected car ecosystems to boost demand
  • 10.3.4 RETAIL & E-COMMERCE
    • 10.3.4.1 Growing need for data-driven insights to enhance customer engagement to foster market growth
  • 10.3.5 MEDIA & ENTERTAINMENT
    • 10.3.5.1 Surge in content creation, personalized experiences, and data-driven decision-making to support market growth
  • 10.3.6 OTHER ENTERPRISES
• 10.4 GOVERNMENT ORGANIZATIONS
  • 10.4.1 GROWING NEED TO ENHANCE PUBLIC SAFETY AND SECURITY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES

11 AI DATA CENTER MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 11.2.2 US
    • 11.2.2.1 Substantial investments in data center infrastructure to fuel market growth
  • 11.2.3 CANADA
    • 11.2.3.1 Abundance of natural resources and favorable climate to offer lucrative growth opportunities
  • 11.2.4 MEXICO
    • 11.2.4.1 Advancements in local infrastructure to support market growth
• 11.3 EUROPE
  • 11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 11.3.2 GERMANY
    • 11.3.2.1 Rising public-private investments to boost AI infrastructure to foster market growth
  • 11.3.3 UK
    • 11.3.3.1 Increasing adoption of cloud computing and large-scale investments in data center infrastructure to fuel market growth
  • 11.3.4 FRANCE
    • 11.3.4.1 Presence of energy-efficient infrastructure to drive market
  • 11.3.5 SPAIN
    • 11.3.5.1 Rising number of AI startups to offer lucrative growth opportunities
  • 11.3.6 ITALY
    • 11.3.6.1 Strategic investments in AI infrastructure to spur demand
  • 11.3.7 POLAND
    • 11.3.7.1 Rapid adoption of emerging technologies like quantum computing and cybersecurity frameworks to fuel market growth
  • 11.3.8 NORDICS
    • 11.3.8.1 Presence of advanced digital infrastructure and skilled workforce to drive market
  • 11.3.9 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 11.4.2 CHINA
    • 11.4.2.1 Surging cloud computing, IoT, and AI-driven applications to fuel market growth
  • 11.4.3 JAPAN
    • 11.4.3.1 Substantial investments from global tech giants to boost demand
  • 11.4.4 SOUTH KOREA
    • 11.4.4.1 Expanding AI-driven industries to offer lucrative growth opportunities
  • 11.4.5 INDIA
    • 11.4.5.1 Adoption of liquid cooling technologies and renewable energy sources to meet AI workloads to drive market
  • 11.4.6 AUSTRALIA
    • 11.4.6.1 Increasing demand for advanced data processing capabilities to fuel market growth
  • 11.4.7 INDONESIA
    • 11.4.7.1 Strategic collaborations with global tech giants to support market growth
  • 11.4.8 MALAYSIA
    • 11.4.8.1 Rising emphasis on developing digital economy to foster market growth
  • 11.4.9 THAILAND
    • 11.4.9.1 Rising demand for cloud computing and generative AI applications to fuel market growth
  • 11.4.10 VIETNAM
    • 11.4.10.1 Rising emphasis on building AI data centers and R&D facilities to support market growth
  • 11.4.11 REST OF ASIA PACIFIC
• 11.5 ROW
  • 11.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 11.5.2 MIDDLE EAST
    • 11.5.2.1 Bahrain
      • 11.5.2.1.1 Rising foreign investments and strategic collaborations to drive market
    • 11.5.2.2 Kuwait
      • 11.5.2.2.1 Increasing demand for AI-powered applications across various industries to offer lucrative growth opportunities
    • 11.5.2.3 Oman
      • 11.5.2.3.1 Commitment to digital innovation to support market growth
    • 11.5.2.4 Qatar
      • 11.5.2.4.1 Growing emphasis on sustainability and digitalization to foster market growth
    • 11.5.2.5 Saudi Arabia
      • 11.5.2.5.1 Rising need for localized cloud storage due to data sovereignty regulations to fuel market growth
    • 11.5.2.6 UAE
      • 11.5.2.6.1 Surging adoption of renewable and energy-efficient solutions to drive market
    • 11.5.2.7 Rest of Middle East
  • 11.5.3 AFRICA
    • 11.5.3.1 South Africa
      • 11.5.3.1.1 Rapid digital transformation and increasing demand for cloud and AI-driven solutions to boost demand
    • 11.5.3.2 Rest of Africa
  • 11.5.4 SOUTH AMERICA
    • 11.5.4.1 Expanding data center operations to support local cloud services to offer lucrative growth opportunities

12 COMPETITIVE LANDSCAPE

• 12.1 INTRODUCTION
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2025
• 12.3 REVENUE ANALYSIS, 2021-2024
• 12.4 MARKET SHARE ANALYSIS, 2024
• 12.5 COMPANY VALUATION AND FINANCIAL METRICS
• 12.6 BRAND/PRODUCT COMPARISON
• 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 12.7.1 STARS
  • 12.7.2 EMERGING LEADERS
  • 12.7.3 PERVASIVE PLAYERS
  • 12.7.4 PARTICIPANTS
  • 12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 12.7.5.1 Company footprint
    • 12.7.5.2 Region footprint
    • 12.7.5.3 Offering footprint
    • 12.7.5.4 Application footprint
    • 12.7.5.5 End user footprint
• 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 12.8.1 PROGRESSIVE COMPANIES
  • 12.8.2 RESPONSIVE COMPANIES
  • 12.8.3 DYNAMIC COMPANIES
  • 12.8.4 STARTING BLOCKS
  • 12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 12.8.5.1 Detailed list of key startups/SMEs
    • 12.8.5.2 Competitive benchmarking of key startups/SMEs
• 12.9 COMPETITIVE SCENARIO
  • 12.9.1 PRODUCT LAUNCHES
  • 12.9.2 DEALS

13 COMPANY PROFILES

• 13.1 KEY PLAYERS
  • 13.1.1 DELL INC.
    • 13.1.1.1 Business overview
    • 13.1.1.2 Products/Solutions/Services offered
    • 13.1.1.3 Recent developments
      • 13.1.1.3.1 Deals
    • 13.1.1.4 MnM view
      • 13.1.1.4.1 Key strengths
      • 13.1.1.4.2 Strategic choices
      • 13.1.1.4.3 Weaknesses and competitive threats
  • 13.1.2 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    • 13.1.2.1 Business overview
    • 13.1.2.2 Products/Solutions/Services offered
    • 13.1.2.3 Recent developments
      • 13.1.2.3.1 Product launches
      • 13.1.2.3.2 Deals
    • 13.1.2.4 MnM view
      • 13.1.2.4.1 Key strengths
      • 13.1.2.4.2 Strategic choices
      • 13.1.2.4.3 Weaknesses and competitive threats
  • 13.1.3 LENOVO
    • 13.1.3.1 Business overview
    • 13.1.3.2 Products/Solutions/Services offered
    • 13.1.3.3 Recent developments
      • 13.1.3.3.1 Product launches
      • 13.1.3.3.2 Deals
      • 13.1.3.3.3 Expansions
    • 13.1.3.4 MnM view
      • 13.1.3.4.1 Key strengths
      • 13.1.3.4.2 Strategic choices
      • 13.1.3.4.3 Weaknesses and competitive threats
  • 13.1.4 HUAWEI TECHNOLOGIES CO., LTD.
    • 13.1.4.1 Business overview
    • 13.1.4.2 Products/Solutions/Services offered
    • 13.1.4.3 Recent developments
      • 13.1.4.3.1 Deals
    • 13.1.4.4 MnM view
      • 13.1.4.4.1 Key strengths
      • 13.1.4.4.2 Strategic choices
      • 13.1.4.4.3 Weaknesses and competitive threats
  • 13.1.5 IBM
    • 13.1.5.1 Business overview
    • 13.1.5.2 Products/Solutions/Services offered
    • 13.1.5.3 Recent developments
      • 13.1.5.3.1 Product launches
      • 13.1.5.3.2 Deals
    • 13.1.5.4 MnM view
      • 13.1.5.4.1 Key strengths
      • 13.1.5.4.2 Strategic choices
      • 13.1.5.4.3 Weaknesses and competitive threats
  • 13.1.6 SUPER MICRO COMPUTER, INC.
    • 13.1.6.1 Business overview
    • 13.1.6.2 Products/Solutions/Services offered
    • 13.1.6.3 Recent developments
      • 13.1.6.3.1 Product launches
      • 13.1.6.3.2 Deals
  • 13.1.7 IEIT SYSTEMS CO.,LTD.
    • 13.1.7.1 Business overview
    • 13.1.7.2 Products/Solutions/Services offered
    • 13.1.7.3 Recent developments
      • 13.1.7.3.1 Product launches
  • 13.1.8 H3C TECHNOLOGIES CO., LTD.
    • 13.1.8.1 Business overview
    • 13.1.8.2 Products/Solutions/Services offered
    • 13.1.8.3 Recent developments
      • 13.1.8.3.1 Product launches
      • 13.1.8.3.2 Deals
  • 13.1.9 CISCO SYSTEMS, INC.
    • 13.1.9.1 Business overview
    • 13.1.9.2 Products/Solutions/Services offered
    • 13.1.9.3 Recent developments
      • 13.1.9.3.1 Product launches
      • 13.1.9.3.2 Deals
  • 13.1.10 FUJITSU
    • 13.1.10.1 Business overview
    • 13.1.10.2 Products/Solutions/Services offered
    • 13.1.10.3 Recent developments
      • 13.1.10.3.1 Product launches
      • 13.1.10.3.2 Deals
• 13.2 OTHER PLAYERS
  • 13.2.1 QUANTA COMPUTER INC.
  • 13.2.2 WISTRON CORPORATION.
  • 13.2.3 WIWYNN CORPORATION
  • 13.2.4 GIGA-BYTE TECHNOLOGY CO., LTD.
  • 13.2.5 MITAC COMPUTING TECHNOLOGY CORPORATION
  • 13.2.6 GRAPHCORE
  • 13.2.7 CEREBRAS
  • 13.2.8 LIQUIDSTACK HOLDING B.V.
  • 13.2.9 COOLIT SYSTEMS
  • 13.2.10 SUBMER
  • 13.2.11 ASPERITAS
  • 13.2.12 ICEOTOPE
  • 13.2.13 JETCOOL TECHNOLOGIES INC.
  • 13.2.14 ZUTACORE
  • 13.2.15 ACCELSIUS LLC

14 APPENDIX

• 14.1 DISCUSSION GUIDE
• 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.3 CUSTOMIZATION OPTIONS
• 14.4 RELATED REPORTS
• 14.5 AUTHOR DETAILS