세계의 데이터센터 가속기 시장 : 프로세서 유형별, 기능별, 업계별, 데이터센터 유형별, 지역별 - 예측(-2030년)

The data center accelerator market is projected to reach USD 170.81 billion in 2025 and USD 372.68 billion by 2030, registering a CAGR of 16.9% between 2025 and 2030. Strong demand for high-performance computing, artificial intelligence, and big data analytics fuels the market growth, prompting enterprises, hyperscale cloud operators, and research institutions to adopt GPUs, FPGAs, and ASICs.

Advancements in accelerator architectures, energy-efficient designs, and AI-optimized software frameworks enhance processing speed, workload efficiency, and scalability across heterogeneous computing environments. Rising investments in hyperscale and edge data centers and the increasing cloud adoption further support market expansion. However, high equipment costs, integration complexities with legacy systems, and rapid technology obsolescence may constrain adoption. Overcoming these challenges through modular solutions, standardization, and strategic partnerships will be key to sustaining long-term growth and strengthening the role of accelerators in modern data center infrastructure.

"By type, the enterprise data center segment is expected to register the highest CAGR between 2025 and 2030."

The enterprise data center segment is projected to witness the highest CAGR during the forecast period, driven by the increasing adoption of artificial intelligence (AI), machine learning (ML), and big data analytics across business-critical operations. Enterprise data centers require high-performance computing capabilities to handle massive data volumes, complex algorithms, and real-time decision-making, making accelerators such as GPUs, FPGAs, and ASICs indispensable. These technologies significantly enhance computational speed, energy efficiency, and workload optimization, enabling enterprises to achieve higher productivity and lower operational costs. The growing digital transformation trend across industries such as banking, healthcare, manufacturing, and retail further propels demand, as organizations seek advanced infrastructure to support predictive analytics, automation, and customer-centric services. Moreover, the rising deployment of hybrid and multi-cloud environments within enterprises emphasizes the need for accelerators to ensure seamless scalability, low-latency performance, and robust security. With the convergence of AI-driven workloads and business applications, enterprise data centers emerge as a focal point for accelerator adoption, positioning this segment as a critical driver for the overall data center accelerator market.

"Based on vertical, the IT & telecom segment is projected to account for the largest market share in 2030."

The IT & telecom segment is expected to hold the largest share of the data center accelerator market in 2030, driven by the exponential growth of data-intensive applications and the rising adoption of cloud computing and 5G networks. With the rapid expansion of hyperscale data centers and edge infrastructure, IT and telecom providers increasingly deploy accelerators such as GPUs, FPGAs, and ASICs to handle massive computational workloads with greater efficiency and reduced latency. These accelerators enable faster data processing, enhanced storage optimization, and real-time analytics, which are critical to supporting high-bandwidth services, video streaming, artificial intelligence, and Internet of Things (IoT) applications. Moreover, the transition to 5G and upcoming 6G technologies significantly amplifies network traffic, creating a strong need for advanced acceleration to ensure seamless connectivity and service quality. The segment also benefits from ongoing investments in digital transformation and the push toward software-defined infrastructure, which relies heavily on specialized hardware to optimize performance. As enterprises and service providers prioritize energy efficiency, scalability, and cost-effectiveness, the integration of accelerators within IT and telecom environments is set to intensify, positioning this vertical as a dominant force in shaping the global data center accelerator market.

"Asia Pacific is projected to exhibit the highest CAGR from 2025 to 2030."

During the forecast period, Asia Pacific is expected to register the highest CAGR in the data center accelerator market during the forecast period, driven by rapid digital transformation, the increasing adoption of cloud computing, and the growing deployment of artificial intelligence and big data analytics. Key countries, such as China, India, Japan, and South Korea, are witnessing significant investments in hyperscale and edge data centers, fueled by supportive government initiatives promoting digital economies, 5G networks, and smart infrastructure. Rising demand from e-commerce, telecommunications, and financial services accelerates the adoption of GPUs, FPGAs, and ASICs to enable low-latency, energy-efficient, and high-performance computing. Furthermore, advancements in accelerator technologies and declining costs of high-performance hardware enhance scalability and operational efficiency for enterprises across the region. The strong focus on innovation, combined with increasing enterprise reliance on data-intensive applications, positions it as a key growth driver in the global market, shaping the region's role in the evolution of next-generation digital infrastructure.

The break-up of the profile of primary participants in the data center accelerator market-

• By Company Type: Tier 1 - 35%, Tier 2 - 45%, Tier 3 - 20%
• By Designation: C-Level Executives - 40%, Directors - 30%, Others - 30%
• By Region: North America - 40%, Europe - 20%, Asia Pacific - 30%, RoW - 10%

Note: Other designations include sales, marketing, and product managers.

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

The major players in the data center accelerator market with a significant global presence include NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Alphabet, Inc. (US), and Amazon Web Services, Inc. (US).

Research Coverage

The report segments the data center accelerator market and forecasts its size by function, processor type, vertical, type, and region. It also comprehensively reviews drivers, restraints, opportunities, and challenges influencing market growth. The report covers qualitative aspects in addition to quantitative aspects of the market.

Reasons to buy the report:

The report will help the market leaders/new entrants with information on the closest approximate revenues for the overall data center accelerator market and related segments. This report will help stakeholders understand the competitive landscape and gain more insights to strengthen their position in the market 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, opportunities, and challenges.

The report provides insights into the following pointers:

• Analysis of key drivers (rise in generative AI workloads, scaling machine learning via cloud-based accelerators for enterprise data centers, hybrid edge acceleration driving real-time low-latency inference workloads), restraints (high total cost of ownership limiting scalable deployment of data center accelerators, supply chain and packaging constraints hindering accelerator scalability, power and thermal constraints limiting scalable data center accelerator deployment), opportunities (use of FPGA and custom silicon accelerators to unlock high-performance, energy-efficient AI deployment, accelerator-as-a-service and subscription models enabling scalable AI deployment, hardware-software co-design and interconnect standardization accelerating AI workload efficiency), and challenges (power and cooling inefficiencies constraining scalable deployment of AI data center accelerators, addressing architectural fragmentation and integration challenges in AI accelerators, geopolitical and trade risks disrupting global AI accelerator supply chains)
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and strategies such as new product launches/developments, collaborations, partnerships, and acquisitions in the data center accelerator market
• Market Development: Comprehensive information about lucrative markets-the report analyses the data center accelerator market across varied regions
• Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the data center accelerator market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players, including NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), Alphabet, Inc. (US), Amazon Web Services, Inc. (US), Qualcomm Technologies, Inc. (US), Marvell (US), Achronix Semiconductor Corporation (US), Broadcom (US), and Graphcore, Ltd. (UK)

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 YEARS CONSIDERED
  • 1.3.3 INCLUSIONS AND EXCLUSIONS
• 1.4 CURRENCY CONSIDERED
• 1.5 UNITS CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS
• 1.8 SUMMARY OF CHANGES

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 FACTOR ANALYSIS
  • 2.2.1 SUPPLY-SIDE ANALYSIS
  • 2.2.2 GROWTH FORECAST ASSUMPTIONS
• 2.3 MARKET SIZE ESTIMATION METHODOLOGY
  • 2.3.1 BOTTOM-UP APPROACH
    • 2.3.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
  • 2.3.2 TOP-DOWN APPROACH
    • 2.3.2.1 Approach to arrive at market size using top-down analysis (supply side)
• 2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN DATA CENTER ACCELERATOR MARKET
• 4.2 DATA CENTER ACCELERATOR MARKET, BY FUNCTION
• 4.3 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE
• 4.4 DATA CENTER ACCELERATOR MARKET, BY VERTICAL
• 4.5 DATA CENTER ACCELERATOR MARKET, BY DATA CENTER TYPE
• 4.6 DATA CENTER ACCELERATOR MARKET, BY REGION
• 4.7 DATA CENTER ACCELERATOR MARKET, BY GEOGRAPHY

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Evolving real estate strategies amid rise of AI-optimized data centers
    • 5.2.1.2 Increasing deployment of MLaaS platform to meet performance, security, and compliance requirements
    • 5.2.1.3 Growing adoption of hybrid and edge acceleration strategies to achieve real-time low-latency inference
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Limited adoption of accelerators due to high cost of ownership
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Revival of FPGAs and availability of customized and domain-specific accelerators
    • 5.2.3.2 Rise of AaaS and subscription-based models enabling scalable AI deployment
    • 5.2.3.3 Integration of standardized interfaces and co-designed accelerators
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Thermal, power- , and infrastructure-related issues
    • 5.2.4.2 Addressing architectural fragmentation issues and complexities associated with software integration
    • 5.2.4.3 Supply chain disruptions and packaging constraints due to geopolitical tensions
• 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.4 PRICING ANALYSIS
  • 5.4.1 INDICATIVE PRICING OF DATA CENTER GPUS OFFERED BY KEY PLAYERS, BY FUNCTION, 2024
  • 5.4.2 AVERAGE SELLING PRICE TREND OF DATA CENTER GPUS, BY REGION, 2021-2024
  • 5.4.3 PRICING TREND OF DATA CENTER GPUS, BY REGION, 2021-2024
• 5.5 SUPPLY 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 Application-specific integrated circuits (ASICs)
    • 5.8.1.2 General-purpose AI GPUs
    • 5.8.1.3 Infrastructure/IO accelerators (DPUs, IPUs, SmartNICs)
  • 5.8.2 COMPLEMENTARY TECHNOLOGIES
    • 5.8.2.1 High-bandwidth memory (HBM)
    • 5.8.2.2 Advanced semiconductor packaging technologies
    • 5.8.2.3 High-performance interconnects and fabric technologies
    • 5.8.2.4 Compute Express Link (CXL 3.x Standard)
    • 5.8.2.5 Universal Chiplet Interconnect Express (UCIe Standard)
  • 5.8.3 ADJACENT TECHNOLOGIES
    • 5.8.3.1 Artificial intelligence (AI) and generative AI software stacks
    • 5.8.3.2 Edge computing
• 5.9 PATENT ANALYSIS
• 5.10 TRADE ANALYSIS
  • 5.10.1 IMPORT SCENARIO (HS CODE 8473)
  • 5.10.2 EXPORT SCENARIO (HS CODE 8473)
• 5.11 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.12 CASE STUDY ANALYSIS
  • 5.12.1 NVIDIA AND OAK RIDGE NATIONAL LABORATORY COLLABORATE TO ACCELERATE SCIENTIFIC SIMULATIONS WITH GPU-POWERED SUPERCOMPUTING
  • 5.12.2 XILINX POWERS ALIBABA CLOUD FAAS WITH AI ACCELERATION SOLUTION FOR E-COMMERCE BUSINESS
  • 5.12.3 AMD'S ACCELERATOR CARD HELPS KUAISHOU OPTIMIZE ASR SERVICE
  • 5.12.4 CLEMSON UNIVERSITY RESEARCHERS LEVERAGE NVIDIA NGC CONTAINERS TO SIMPLIFY HPC APPLICATION DEPLOYMENT AND FOCUS ON COMPLEX TASKS
• 5.13 TARIFF AND REGULATORY LANDSCAPE
  • 5.13.1 TARIFF ANALYSIS (HS CODE 8473)
  • 5.13.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13.3 REGULATORY 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 AI/GEN AI ON DATA CENTER ACCELERATOR MARKET
• 5.17 IMPACT OF 2025 US TARIFF ON DATA CENTER ACCELERATOR MARKET - OVERVIEW
  • 5.17.1 PRICE IMPACT ANALYSIS
  • 5.17.2 KEY IMPACTS ON VARIOUS COUNTRIES/REGIONS
    • 5.17.2.1 US
    • 5.17.2.2 Europe
    • 5.17.2.3 Asia Pacific
  • 5.17.3 IMPACT ON VERTICALS

6 DEPLOYMENT MODES OF DATA CENTER ACCELERATORS

• 6.1 INTRODUCTION
• 6.2 ON-PREMISES
• 6.3 CLOUD-BASED/ACCELERATOR-AS-A-SERVICE MODEL
• 6.4 HYBRID

7 APPLICATIONS OF DATA CENTER ACCELERATORS

• 7.1 INTRODUCTION
• 7.2 DEEP LEARNING TRAINING
• 7.3 GENERATIVE AI TRAINING AND INFERENCE
• 7.4 PUBLIC CLOUD INFERENCE
• 7.5 ENTERPRISE INFERENCE
• 7.6 HIGH-PERFORMANCE COMPUTING WORKLOADS

8 DATA CENTER ACCELERATOR MARKET, BY PROCESSOR TYPE

• 8.1 INTRODUCTION
• 8.2 GPU
  • 8.2.1 HIGH MEMORY BANDWIDTH, LOW-LATENCY COMPUTATION, AND SCALABLE PARALLEL PROCESSING CAPABILITIES TO BOOST DEMAND
  • 8.2.2 GPU AS A SERVICE (GPUAAS)
• 8.3 CPU
  • 8.3.1 ELEVATING USE OF NEXT-GENERATION CPU ARCHITECTURES FOR AI WORKLOADS TO FACILITATE MARKET GROWTH
• 8.4 ASIC
  • 8.4.1 COST AND ENERGY ADVANTAGES TO SPIKE DEMAND
• 8.5 FPGA
  • 8.5.1 INTEGRATION WITH AI ORCHESTRATION AND RESOURCE MANAGEMENT PLATFORMS TO FUEL SEGMENTAL GROWTH

9 DATA CENTER ACCELERATOR MARKET, BY FUNCTION

• 9.1 INTRODUCTION
• 9.2 TRAINING
  • 9.2.1 ESCALATING ADOPTION OF GENERATIVE AI AND DEEP LEARNING TO FUEL SEGMENTAL GROWTH
• 9.3 INFERENCE
  • 9.3.1 RISING FOCUS ON IMPROVING OPERATIONAL EFFICIENCY AND RISK MITIGATION TO FOSTER SEGMENTAL GROWTH

10 DATA CENTER ACCELERATOR MARKET, BY VERTICAL

• 10.1 INTRODUCTION
• 10.2 IT & TELECOM
  • 10.2.1 RAPID EXPANSION OF EDGE COMPUTING AND AI-DRIVEN WORKLOADS TO ACCELERATE DEMAND
• 10.3 HEALTHCARE
  • 10.3.1 AI-DRIVEN HEALTHCARE TRANSFORMATION FUELED BY ACCELERATED GENOMICS AND IMAGING WORKLOADS TO PROPEL MARKET
• 10.4 BFSI
  • 10.4.1 PRESSING NEED FOR REAL-TIME FRAUD DETECTION TO SPIKE DEPLOYMENT
• 10.5 GOVERNMENT
  • 10.5.1 RISING ADOPTION OF AI/ML MODELS FOR PREDICTIVE GOVERNANCE TO FOSTER MARKET GROWTH
• 10.6 ENERGY
  • 10.6.1 RISING FOCUS ON IMPROVING SMART GRID EFFICIENCY TO CREATE OPPORTUNITIES
• 10.7 AUTOMOTIVE
  • 10.7.1 INCREASING COMPLEXITY OF AUTONOMOUS AND CONNECTED VEHICLE SYSTEMS TO SPUR DEMAND
• 10.8 RETAIL & E-COMMERCE
  • 10.8.1 HIGH EMPHASIS ON AI-DRIVEN FRAUD DETECTION AND SUPPLY CHAIN OPTIMIZATION TO SUPPORT MARKET GROWTH
• 10.9 OTHER VERTICALS

11 DATA CENTER ACCELERATOR MARKET, BY DATA CENTER TYPE

• 11.1 INTRODUCTION
• 11.2 CLOUD
  • 11.2.1 POTENTIAL TO PERFORM COMPLEX COMPUTATIONAL TASKS WITHOUT MAINTAINING ON-SITE HARDWARE TO SPIKE DEMAND
• 11.3 ENTERPRISE
  • 11.3.1 LOW-LATENCY, HIGH SECURITY, AND REGULATORY COMPLIANCE FEATURES TO ACCELERATE DEMAND

12 DATA CENTER ACCELERATOR MARKET, BY REGION

• 12.1 INTRODUCTION
• 12.2 NORTH AMERICA
  • 12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 12.2.2 US
    • 12.2.2.1 Rising deployment of cloud computing technologies to scale IT operations to propel market
  • 12.2.3 CANADA
    • 12.2.3.1 Increasing research grants to AI institutions to foster market growth
  • 12.2.4 MEXICO
    • 12.2.4.1 Mounting investment in hyperscale cloud platforms to augment market growth
• 12.3 EUROPE
  • 12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 12.3.2 GERMANY
    • 12.3.2.1 Increasing demand for cloud computing and colocation services to accelerate market growth
  • 12.3.3 UK
    • 12.3.3.1 Burgeoning demand for AI and cloud technologies to drive market
  • 12.3.4 FRANCE
    • 12.3.4.1 Rising government initiatives toward digital innovation to facilitate market growth
  • 12.3.5 ITALY
    • 12.3.5.1 AI infrastructure expansion and sovereign compute initiatives to drive market
  • 12.3.6 SPAIN
    • 12.3.6.1 Rising demand for sustainable and energy-efficient data centers to support market growth
  • 12.3.7 POLAND
    • 12.3.7.1 Expanding hyperscale infrastructure and AI investments to fuel market growth
  • 12.3.8 NORDICS
    • 12.3.8.1 Inclination toward sustainable data centers and AI-driven HPC expansions to facilitate market growth
  • 12.3.9 REST OF EUROPE
• 12.4 ASIA PACIFIC
  • 12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 12.4.2 CHINA
    • 12.4.2.1 Increasing deployment of big data analytics HPC technologies to drive market
  • 12.4.3 INDIA
    • 12.4.3.1 Rapid AI adoption and hyperscale investments to boost demand
  • 12.4.4 JAPAN
    • 12.4.4.1 Increasing construction of green data centers to achieve carbon-neutral society to spur demand
  • 12.4.5 SOUTH KOREA
    • 12.4.5.1 Government-backed AI and HPC initiatives to foster market growth
  • 12.4.6 AUSTRALIA
    • 12.4.6.1 Strategic focus on renewable-powered and AI-ready data centers to boost demand
  • 12.4.7 INDONESIA
    • 12.4.7.1 Digital economy initiatives to expedite market growth
  • 12.4.8 MALAYSIA
    • 12.4.8.1 Greater emphasis on sustainable, accelerator-ready data centers to create opportunities
  • 12.4.9 THAILAND
    • 12.4.9.1 Surging adoption of AI in enterprise sector to stimulate market growth
  • 12.4.10 VIETNAM
    • 12.4.10.1 Increasing demand for hybrid and edge computing solutions to support market growth
  • 12.4.11 REST OF ASIA PACIFIC
• 12.5 ROW
  • 12.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 12.5.2 SOUTH AMERICA
    • 12.5.2.1 Inclination toward digitalization to create opportunities
  • 12.5.3 MIDDLE EAST & AFRICA
    • 12.5.3.1 GCC
      • 12.5.3.1.1 E-commerce expansion and smart city initiatives to contribute to market growth
    • 12.5.3.2 Rest of Middle East & Africa

13 COMPETITIVE LANDSCAPE

• 13.1 OVERVIEW
• 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
• 13.3 MARKET SHARE ANALYSIS, 2024
• 13.4 REVENUE ANALYSIS, 2020-2024
• 13.5 COMPANY VALUATION AND FINANCIAL METRICS
• 13.6 BRAND/PRODUCT COMPARISON
• 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 13.7.1 STARS
  • 13.7.2 EMERGING LEADERS
  • 13.7.3 PERVASIVE PLAYERS
  • 13.7.4 PARTICIPANTS
  • 13.7.5 COMPANY FOOTPRINT
    • 13.7.5.1 Company footprint
    • 13.7.5.2 Region footprint
    • 13.7.5.3 Function footprint
    • 13.7.5.4 Processor type footprint
    • 13.7.5.5 Vertical footprint
    • 13.7.5.6 Data center type footprint
• 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 13.8.1 PROGRESSIVE COMPANIES
  • 13.8.2 RESPONSIVE COMPANIES
  • 13.8.3 DYNAMIC COMPANIES
  • 13.8.4 STARTING BLOCKS
  • 13.8.5 COMPETITIVE BENCHMARKING, STARTUPS/SMES, 2024
    • 13.8.5.1 Detailed list of key startups/SMEs
    • 13.8.5.2 Competitive benchmarking of key startups/SMEs
• 13.9 COMPETITIVE SCENARIO
  • 13.9.1 PRODUCT LAUNCHES
  • 13.9.2 DEALS

14 COMPANY PROFILES

• 14.1 INTRODUCTION
• 14.2 KEY PLAYERS
  • 14.2.1 NVIDIA CORPORATION
    • 14.2.1.1 Business overview
    • 14.2.1.2 Products/Solutions/Services offered
    • 14.2.1.3 Recent developments
      • 14.2.1.3.1 Product launches/Enhancements
      • 14.2.1.3.2 Deals
    • 14.2.1.4 MnM view
      • 14.2.1.4.1 Key strengths
      • 14.2.1.4.2 Strategic choices
      • 14.2.1.4.3 Weaknesses and competitive threats
  • 14.2.2 INTEL CORPORATION
    • 14.2.2.1 Business overview
    • 14.2.2.2 Products/Solutions/Services offered
    • 14.2.2.3 Recent developments
      • 14.2.2.3.1 Product launches/Enhancements
      • 14.2.2.3.2 Deals
    • 14.2.2.4 MnM view
      • 14.2.2.4.1 Key strengths
      • 14.2.2.4.2 Strategic choices
      • 14.2.2.4.3 Weaknesses and competitive threats
  • 14.2.3 ADVANCED MICRO DEVICES, INC.
    • 14.2.3.1 Business overview
    • 14.2.3.2 Products/Solutions/Services offered
    • 14.2.3.3 Recent developments
      • 14.2.3.3.1 Product launches/Enhancements
      • 14.2.3.3.2 Deals
    • 14.2.3.4 MnM view
      • 14.2.3.4.1 Key strengths
      • 14.2.3.4.2 Strategic choices
      • 14.2.3.4.3 Weaknesses and competitive threats
  • 14.2.4 AMAZON WEB SERVICES, INC.
    • 14.2.4.1 Business overview
    • 14.2.4.2 Products/Solutions/Services offered
    • 14.2.4.3 Recent developments
      • 14.2.4.3.1 Product launches/Enhancements
      • 14.2.4.3.2 Deals
    • 14.2.4.4 MnM view
      • 14.2.4.4.1 Key strengths
      • 14.2.4.4.2 Strategic choices
      • 14.2.4.4.3 Weaknesses and competitive threats
  • 14.2.5 ALPHABET INC.
    • 14.2.5.1 Business overview
    • 14.2.5.2 Products/Solutions/Services offered
    • 14.2.5.3 Recent developments
      • 14.2.5.3.1 Product launches/Enhancements
      • 14.2.5.3.2 Deals
    • 14.2.5.4 MnM view
      • 14.2.5.4.1 Key strengths
      • 14.2.5.4.2 Strategic choices
      • 14.2.5.4.3 Weaknesses and competitive threats
  • 14.2.6 QUALCOMM TECHNOLOGY, INC.
    • 14.2.6.1 Business overview
    • 14.2.6.2 Products/Solutions/Services offered
    • 14.2.6.3 Recent developments
      • 14.2.6.3.1 Product launches/Enhancements
      • 14.2.6.3.2 Deals
    • 14.2.6.4 MnM view
      • 14.2.6.4.1 Key strengths
      • 14.2.6.4.2 Strategic choices
      • 14.2.6.4.3 Weaknesses and competitive threats
  • 14.2.7 MARVELL
    • 14.2.7.1 Business overview
    • 14.2.7.2 Products/Solutions/Services offered
    • 14.2.7.3 Recent developments
      • 14.2.7.3.1 Product launches/Enhancements
      • 14.2.7.3.2 Deals
  • 14.2.8 ACHRONIX SEMICONDUCTOR CORPORATION
    • 14.2.8.1 Business overview
    • 14.2.8.2 Products/Solutions/Services offered
    • 14.2.8.3 Recent developments
      • 14.2.8.3.1 Product launches/Enhancements
      • 14.2.8.3.2 Deals
• 14.3 OTHER PLAYERS
  • 14.3.1 MICRON TECHNOLOGY, INC.
  • 14.3.2 IBM CORPORATION
  • 14.3.3 DELL INC.
  • 14.3.4 GRAPHCORE
  • 14.3.5 HISILICON
  • 14.3.6 FUJITSU
  • 14.3.7 SAMBANOVA SYSTEMS, INC.
  • 14.3.8 LATTICE SEMICONDUCTOR
  • 14.3.9 MICROCHIP TECHNOLOGY INC.
  • 14.3.10 SEMPTIAN
  • 14.3.11 TENSTORRENT
  • 14.3.12 BLAIZE
  • 14.3.13 AMPERE COMPUTING LLC
  • 14.3.14 IMAGINATION TECHNOLOGIES
  • 14.3.15 GROQ, INC.
  • 14.3.16 KALRAY
  • 14.3.17 REBELLIONS INC.
  • 14.3.18 T-HEAD
  • 14.3.19 MOORE THREADS
  • 14.3.20 SHANGHAI BIREN TECHNOLOGY CO., LTD.
  • 14.3.21 BROADCOM

15 APPENDIX

• 15.1 INSIGHTS FROM INDUSTRY EXPERTS
• 15.2 DISCUSSION GUIDE
• 15.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.4 CUSTOMIZATION OPTIONS
• 15.5 RELATED REPORTS
• 15.6 AUTHOR DETAILS