Data Center Chip Market Size, Share and Trends

Report Code SE 9185
Published in Dec, 2024, By MarketsandMarkets™
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Data Center Chip Market by Offerings (GPU, CPU, FPGA, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory (DRAM (HBM, DDR)), Network (NIC/Network Adapters, Interconnects)) – Global Forecast to 2030

 

Data Center Chip Market Size, Share & Trends

The data center chip market is expected to grow from USD 206.96 billion in 2025 to USD 390.65 billion by 2030, at a CAGR of 13.5% from 2025 to 2030. The market is growing on the back of increasing investment in data center infrastructure globally. High-performance processors and memory and power management chips are required for handling big data analytics, storage needs, and emerging AI workloads, such as Generative AI and Machine Learning. Companies such as Amazon and Google are rapidly increasing investments in their data centers to support their cloud services and AI services.

Data Center Chip Market

Attractive Opportunities in the Data Center Chip Market

ASIA PACIFIC

Asia Pacific is projected to register the highest CAGR in the data center chip market during the forecast period.

Cloud service providers and enterprises, including BFSI, healthcare, and retail & e-commerce, requiring customized data center chips are expected to create lucrative opportunities for the players in the data center chip market.

Favorable initiatives and subsidies by the US government to strengthen chip manufacturing in the region will fuel the data center chip market growth across North America.

Product launches and developments are expected to offer lucrative opportunities for market players in the next five years.

The major players in the market are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX Inc. (South Korea), and SAMSUNG (South Korea).

Global Data Center Chip Market Dynamics

DRIVER: Rising focus on parallel computing in AI data center

With the rapidly mounting need for scalable and efficient handling of complex AI workloads, growing datasets, and rapid development of hardware and software technologies, parallel computing in AI data centers is rising rapidly. Using parallel computing architectures like GPUs and specific AI accelerators, data centers can realize higher performance, faster processing speed, and improved scalability for accelerating the development and deployment of AI applications across industries. Serial computing in data centers employs CPUs to access memory locations where instructions and data are located. In doing this, a processor makes the computations serially by analyzing the instructions and data at the memory addresses. In serial computation, the computational steps are sequential and logical. A single task at a data center is divided into a series of separate instruction sets executed serially by a processor. This usually results in latency problems with data centers, mainly when conducting AI-based computations involving massive data and instruction sets. This led companies like NVIDIA Corporation (US) to introduce advanced chips that improve performance, such as the H100, which accelerates AI model training significantly. Data centers are introducing specialized processors to effectively harness AI, thereby fueling the growth of the data center chip market.

RESTRAINTS: Shortage of skilled professionals

Data centers are complex systems. Companies require experts and a skilled workforce to develop, manage, and implement data center chips for data centers. A workforce possessing in-depth knowledge of the technology is limited as the industry is still in its early stages of development. The impact of this restraining factor is likely to remain high during the initial years of the forecast period. Companies across various industries are adopting emerging technologies to improve operational efficiency and performance, reduce waste, conserve natural resources, reach new markets and audiences quickly and conveniently, and support product and process innovation. Advancements in technology will significantly impact job availability and quality in the global economy - eliminating jobs, creating new jobs, and demanding new skills from workforces worldwide. Factories integrating machine vision technology into their processes would require more complex skill sets, and it could be difficult for lower-skilled, less-educated workers to access opportunities. The skill gap acts as a major restraint to the growth of the data center chips market. Unless this challenge related to the workforce is addressed, the growth of the data center chip market may lose its pace.

 

OPPORTUNITY: Emergence of FPGA-based accelerators

An FPGA is an integrated circuit that a customer or designer can configure after manufacturing (field programmable). FPGAs can be programmed using hardware description languages such as VHSIC hardware description language (VHDL) or Verilog and can integrate seamlessly with existing data center infrastructure. They can also be reprogrammed to adapt to evolving workload requirements. By designing custom hardware configurations tailored to specific algorithms or applications, FPGA-based accelerators can achieve optimized performance that matches or exceeds that of general-purpose CPUs or GPUs. FPGAs also offer other advantages, such as rapid prototyping, reduced time to market, and a long product life cycle. They contain individual programmable logic blocks known as configurable logic blocks (CLBs). These logic blocks are interconnected so that a user can configure the computing system multiple times.

In May 2020, Aldec, Inc. (US) introduced a new product, the FPGA accelerator board HES-XCKU11P-DDR4, which was designed for HPC high-frequency trading applications and high-speed FPGA prototyping. It is a 1U form factor board featuring Xilinx Kintex UltraScale+ FPGA, a PCle inference, and two QSFP-DD connectors, providing a bandwidth of up to 400 Gbit/s.

CHALLENGE: High energy consumption by data center

The demand for data storage has increased with the rising use of cloud computing and online work. This led to a rapid increase in data center investment and power demand. Data centers are fast becoming some of the biggest electricity consumers worldwide. A single data center can consume as much power as a small city. As per estimates, data centers could account for up to 9% of US electricity demand by 2030. This high power consumption is attributed to the growing demand for more computing power, primarily for applications such as artificial intelligence, which may consume as much as 33 times more energy compared to typical software. Managing high power consumption is a major challenge for players in this market. One solution to reduce high electricity consumption can be the adoption of DC grids in data centers. In 2020, global data center electricity use was estimated to be between 200 and 250 terawatt-hours, accounting for around 1% of total electricity demand, according to the International Energy Agency. Utilizing a DC grid in a data center has several benefits, such as easier integration of renewable power sources and reduced power loss.

Data Center Chip Market Ecosystem

The data center chip market ecosystem includes integrated device manufacturers, electronic design automation, and fab designers. A few companies working in this segment are Analog Devices (US), Intel Corporation (US), Synopsys (US), and Cadence (US), among others. The next stage includes manufacturers of wafers, such as ASML (Netherlands), Samsung (South Korea), and Texas Instruments (US). The next part of the ecosystem includes chip providers. These are companies that provide data center chips like GPUS, CPUs, FPGAs, ASICs, and Memory.

Top Companies in Data Center Chip Market
 

Processor component to account for largest market share during forecast period

The processors used in data centers include graphic processing unit (GPU), central processing unit (CPU), field programmable gate array (FPGA), DOJO & full self-driving (FSD), Trainium & inferential, ATHENA ASIC, T-head, meta training and inference accelerator (MTIA), and language processing unit (LPU). Processors like GPUS can handle computational loads to train and run deep-learning models. This makes them important in data centers and AI research. New GPUs are constantly being developed and introduced by leading companies like NVIDIA Corporation (US), Intel Corporation (US), and Advanced Micro Devices, Inc., that advance AI capabilities for data center applications. CPUs orchestrate all the operations of the system, handle data flow, and manage pre- and post-processing tasks for AI workloads in data centers. They are extremely essential in low-latency application fields, such as AI inferencing in real-time within recommendation systems or financial trading algorithms. CPUs play a vital role in natural language processing (NLP) by executing the algorithms and models that enable computers to understand and generate human language. It handles tasks such as data preprocessing, parsing, and executing machine learning models, which are essential for interpreting text and speech effectively.

Large size data center segment to register highest CAGR during forecast period

Large data centers are usually used by business organizations that require high server density and computational power. These data centers cover an area of 25,000 square feet or more. They offer cost-effective power management, dynamic resource allocation, and efficient management and monitoring of resources. Large-scale data centers are needed to host and manage cloud service infrastructures, such as IaaS, PaaS, and SaaS. These data centers can cater to the rapidly growing demand of end users, allowing organizations to expand their operations smoothly and provide global service coverage. End users like scientific researchers, financial services, and pharmaceutical companies are increasingly using this infrastructure. The development and deployment of artificial intelligence and machine learning models depend on heavy processing for simulative and calculating work. Large data centers can manage lower costs per unit of computing resources and storage, making them cost-effective for organizations with strong infrastructure. Cloud providers, healthcare, retail & e-commerce, and telecommunication sectors, among others, are increasingly availing the services and solutions offered by data centers. These end-use industries use large-size data centers to enable the digital transformation of their traditional business processes.

Asia Pacific to Exhibit Highest CAGR During Forecast Period

The data center chip market in Asia Pacific is expected to register the highest CAGR during the forecast period. The region is a vital player in the global data center chip market, driven by its robust manufacturing capabilities and technological advancements. Macroeconomic trends in major economies such as China, Japan, and India over the past few quarters are likely to have profound implications for the data center chip market in the region. Asia Pacific, and specifically China, continues to be one of the world's major hubs in the manufacturing industry. Even with growth slated to slow down, Asia Pacific will continue to account for the majority of the global production of data center chips. Government initiatives, such as the establishment of free trade in Shanghai, are attracting international investors. This has led to the growing demand for redundant, high-density facilities throughout China. The design and development of the country's data center infrastructure have also improved significantly. These initiatives undertaken by governments as well as private organizations are expected to fuel the demand for data center chips in the country, as well as the Asia Pacific region.

LARGEST MARKET SHARE IN 2025-2030
CHINA FASTER-GROWING MARKET IN REGION
Data Center Chip Market Size and Share

Recent Developments of Data Center Chip Market

  • In April 2024, Google launched a custom Arm-based CPU, the Google Axion processor, designed for data centers. It is built for CPU-based AI training and inference, data analytics engines, in-memory caches, media processing, open-source databases, and web and app service workloads.
  • In April 2024, Micron Technology, Inc. (US) and Silvaco Group, Inc. (US) extended their partnership to develop an AI-based solution: Fab Technology Co-Optimization (FTCO). This solution enables customers to use manufacturing data to perform machine learning software simulations and create a computer model to simulate the wafer fabrication process. Micron Technology, Inc. (US) invested USD 5 million in the development of FTCO.
  • In March 2024, NVIDIA Corporation (US) introduced the NVIDIA Blackwell platform to enable organizations to build and run real-time GenAI featuring six transformative technologies for accelerated computing. The platform allows AI training and real-time LLM inference for models with up to 10 trillion parameters.
  • In February 2024, Intel Corporation (US) and Cadence Design Systems, Inc. (US) expanded their strategic partnership through a multiyear agreement to develop advanced system-on-chip (SoC) designs. The partnership aims to meet the rising demand from the fast-growing markets, including AI, ML, HPC, and premium mobile computing.

Key Market Players

List of Top Data Center Chip Market

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Scope of the Report

Report Attribute Details
Market size available for years 2021–2030
Base year considered 2024
Forecast period 2025–2030
Forecast units USD Million/Billion
Segments Covered Component, Application, Data Center Size, End User and Region.
Regions covered North America, Asia Pacific, Europe, and RoW

Key Questions Addressed by the Report

At what CAGR is the data center chip market expected to grow from 2025 to 2030?
The global data center chip market is expected to register a CAGR of 13.5% from 2025 to 2030.
Which regions are expected to witness significant demand for data center chips during the forecast period?
Asia Pacific and North America are anticipated to exhibit significant demand for data center chips during the forecast period. Economies such as the US, Canada, China, Japan, India, and South Korea are likely to experience high market growth in the near future.
Which factors will create opportunities for the players in the data center chip market?
The surging demand for AI-based field programmable gate array (FPGA) technology, rising integration of AI-powered solutions into defense systems, growing potential of AI-based tools in the healthcare sector, planned investments by cloud service providers in upgrading data center infrastructure, and the increasing adoption of AI-powered ASICs by data center owners are projected to create lucrative opportunities for the players in the data center chip market during the forecast period.
Who are the key players in the data center chip market?
The key players in the data center chip market are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), Micron Technology, Inc. (US), and Google (US).
Who are the major end users of data center chips?
The major end users for data center chips are cloud service providers, enterprises (healthcare, BFSI, automotive, retail & e-commerce, and media & entertainment), and government organizations.

 

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Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
15
RESEARCH METHODOLOGY
20
EXECUTIVE SUMMARY
25
PREMIUM INSIGHTS
30
MARKET OVERVIEW
35
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
  • 5.4 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY PROCESSOR
    AVERAGE SELLING PRICE TREND, BY REGION
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 ECOSYSTEM ANALYSIS
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGY
    - GenAl workload
    COMPLEMENTARY TECHNOLOGY
    - Data center power management and cooling system
    ADJACENT TECHNOLOGY
    - Quantum AI
  • 5.8 PATENT ANALYSIS
  • 5.9 TRADE ANALYSIS
    IMPORT SCENARIO
    EXPORT SCENARIO
    KEY CONFERENCES AND EVENTS (2024-2025)
    CASE STUDY ANALYSIS
    INVESTMENT AND FUNDING SCENARIO
    TARIFF AND REGULATORY LANDSCAPE
    - Tariff related to electronic integrated circuits as processors and controllers, whether or not combined with memories, converters, logic circuits, amplifiers, clock and timing circuits, or other circuits (854231)
    - Regulatory Bodies, Government Agencies, and Other Organizations
    - Key Regulations
    PORTERS FIVE FORCE ANALYSIS
    - Threat from New Entrants
    - Threat of Substitutes
    - Bargaining Power of Suppliers
    - Bargaining Power of Buyers
    - Intensity of Competitive Rivalry
    KEY STAKEHOLDERS AND BUYING CRITERIA
    - Key Stakeholders in the Buying Process
    - Buying Criteria
    IMPACT OF AI ON THE DATA CENTER CHIP MARKET
DATA CENTER CHIP MARKET, BY COMPONENTS
70
  • 6.1 INTRODUCTION
  • 6.2 AI SERVER
    PROCESSORS
    - AI Processor
    SENSORS
    - Temperature Sensor
    - Humidity Sensor
    - Airflow Sensor
    POWER MANAGEMENT
    - Multiphase Controller
    - Power Stage
    - Point-of-Load (POL) (DC/DC Converter)
    - Low Dropout (LDO)
    - 48V Intermediate Bus Converter (IBC)
    - Hot Swap Controller/eFuse
    - Power Sequencer
    - Baseboard Management Controller (BMC)
    ANALOG & MIXED-SIGNAL ICS
    - Multi-Channel ADC/DAC
    - Switch
    - Mux
    - Current Sense Amplifier (CSA)
    - Supervisory IC
    - Fan Controller
    - Clock IC
    NETWORK
    - NIC/Network Adapter
    MEMORY
    - DDR
    - HBM
  • 6.3 NON-AI SERVER
    PROCESSORS
    - CPU
    - FPGA
    SENSORS
    - Temperature Sensor
    - Humidity Sensor
    - Airflow Sensor
    - Other Sensors
    POWER MANAGEMENT
    - Multiphase Controller
    - Point-of-Load (POL) (DC/DC Converter)
    - 48V Intermediate Bus Converter (IBC)
    - Low Dropout (LDO)
    - Power Sequencer
    - Baseboard Management Controller (BMC)
    ANALOG & MIXED-SIGNAL ICS
    - Multi-Channel ADC/DAC
    - Switch
    - Mux
    - Current Sense Amplifier (CSA)
    - Supervisory IC
    - Fan Controller
    - Clock IC
    NETWORK
    - NIC/Network Adapter
    - Interconnects
    MEMORY
    - DDR
DATA CENTER CHIP MARKET, BY DATA CENTER SIZE
130
  • 7.1 INTRODUCTION
  • 7.2 SMALL
  • 7.3 MEDIUM-SIZED
  • 7.4 LARGE
DATA CENTER CHIP MARKET, BY APPLICATION
150
  • 8.1 INTRODUCTION
  • 8.2 AI
    GENERATIVE AI
    - Rule-based models
    - Statistical models
    - Deep learning
    - Generative Adversarial Networks (GANs)
    - Autoencoders
    - Convolutional neural network (CNN)
    - Transformer-based language models (LLMs)
    MACHINE LEARNING
    NATURAL LANGUAGE PROCESSING (NLP)
    COMPUTER VISION
  • 8.3 NON-AI
DATA CENTER CHIP MARKET, BY END USER
180
  • 9.1 INTRODUCTION
  • 9.2 CLOUD SERVICE PROVIDER
  • 9.3 ENTERPRISE
    HEALTHCARE
    BFSI
    AUTOMOTIVE
    RETAIL & E-COMMERCE
    MEDIA & ENTERTAINMENT
    OTHER END USERS (LAW FIRMS, MARKETING FIRMS, RESEARCH CENTERS, EDUCATIONAL INSTITUTES, ARCHITECTURAL, ENGINEERING FIRMS)
  • 9.4 GOVERNMENT ORGANIZATION
    DATA CENTER CHIP MARKET, REGION
  • 9.5 INTRODUCTION
  • 9.6 NORTH AMERICAS
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    CANADA
    MEXICO
  • 9.7 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    GERMANY
    FRANCE
    UK
    REST OF EUROPE
  • 9.8 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    JAPAN
    INDIA
    REST OF ASIA PACIFIC
  • 9.9 ROW
    MACROECONOMIC OUTLOOK FOR ROW
    MIDDLE EAST & AFRICA
    - GCC Countries
    - Rest of Middle East & Africa
    SOUTH AMERICA
DATA CENTER CHIP MARKET, COMPETITIVE LANDSCAPE
210
  • 10.1 INTRODUCTION
  • 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 10.3 REVENUE ANALYSIS
  • 10.4 MARKET SHARE ANALYSIS
  • 10.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 10.6 BRAND/PRODUCT COMPARISON
  • 10.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company Footprint
    - Region Footprint
    - End user Footprint
    - Component Type Footprint
    - Application Footprint
    - Data Center Size
  • 10.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed List of Key Startups/SMEs
    - Competitive Benchmarking of Key Startups/SMEs
  • 10.9 COMPETITIVE SITUATION AND TRENDS
    PRODUCT LAUNCHES
    ACQUISITIONS
    PARTNERSHIPS, COLLABORATIONS, ALLIANCES, AND JOINT VENTURES
DATA CENTER CHIP MARKET, COMPANY PROFILES
260
  • 11.1 KEY PLAYERS
    NVIDIA CORPORATION
    INTEL CORPORATION
    ADVANCED MICRO DEVICES, INC.
    GOOGLE
    AWS
    SAMSUNG
    TEXAS INSTRUMENTS INCORPORATED
    ANALOG DEVICES
    MICRON TECHNOLOGY
  • 11.2 OTHER PLAYERS
    STMICROELECTRONICS
    SENSIRION AG
    AKCP
    BOSCH SENSORTEC
    RENESAS ELECTRONICS CORPORATION
    INFINEON
    DIODES INCORPORATED
    MICROCHIP
    IMAGINATION TECHNOLOGIES
APPENDIX
290
  • 12.1 DISCUSSION GUIDE
  • 12.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 12.3 AVAILABLE CUSTOMIZATIONS
  • 12.4 RELATED REPORTS

The study involved four major activities in estimating the current size of the data center chip market—exhaustive secondary research collected information on the market and its peer and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. After that, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.

Secondary Research

Various secondary sources have been referred to in the secondary research process to identify and collect information important for this study. These secondary sources include data center chip technology journals and magazines, annual reports, press releases, investor presentations of companies, white papers, certified publications and articles from recognized authors, and directories and databases such as Factiva, Hoovers, and OneSource.

Primary Research

Various primary sources from both supply and demand sides have been interviewed in the primary research process to obtain qualitative and quantitative information important for this report. The primary sources from the supply side included industry experts such as CEOs, VPs, marketing directors, technology and innovation directors, and related executives from key companies and organizations operating in the data center chip market. After complete market engineering (including calculations regarding market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information as well as to verify and validate the critical numbers arrived at.

Data Center Chip Market Size, and Share

Note: Other designations include sales, marketing, and product managers. Tier 1 = USD 1 billion, Tier 2 = USD 0.5–1.0 billion, and Tier 3 = USD 0.5 billion.

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Market Size Estimation

In the complete market engineering process, both top-down and bottom-up approaches, along with several data triangulation methods, have been used to perform the market size estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analyses have been conducted on the complete market engineering process to list the key information/insights throughout the report.

The key players in the market, such as Intel Corporation (US), NVIDIA Corporation (US), Google (US), Advanced Micro Devices, Inc. (US), and Micron Technology, Inc. (US), have been identified through secondary research and their market shares in the respective regions have been determined through primary and secondary research. This entire procedure includes the study of annual and financial reports of the top players as well as extensive interviews with industry experts (such as CEOs, VPs, directors, and marketing executives) for key insights (both quantitative and qualitative) on the data center chip market. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All the possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data has been consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report.

Data Center Chip Market : Top-Down and Bottom-Up Approach

The bottom-up approach has been employed to arrive at the overall size of the data center chip market. The bottom-up methodology for data center chip market calculations begins with determining data center chip demand by multiplying server numbers by chip attach-rates per server. Average Selling Prices for each data center chip offering type are then identified. Revenues are calculated for each region or country by multiplying the local data center chip demand by the corresponding ASP, considering product billing locations. These regional revenues are summed to provide a global figure. The total market size is derived by combining all calculated revenues

In the top-down approach, the overall market size has been used to estimate the size of the individual markets (mentioned in the market segmentation) through percentage splits from secondary and primary research. The top-down methodology for the data center chip market analysis starts with the total market size as the foundation. This figure is then divided into percentage splits for key segments such as Component, Data Center Size, Application, and End User. Each segment is further divided into geographic regions, clearly showing market distribution across different areas. The analysis then delves deeper, offering region and country-wise splits for each sub-segment. This approach allows for a comprehensive market view, starting from the broadest perspective and progressively narrowing down to specific details. This provides an effectively mapped-out entire data center chip market landscape, identifying trends, opportunities, and potential growth areas across various dimensions and geographical locations.

Data Center Chip Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size from the estimation process explained above, the global market has been split into several segments and subsegments. Market breakdown and data triangulation procedures have been employed wherever applicable to complete the overall market engineering process and arrive at exact statistics for all segments and subsegments. The data has been triangulated by studying various factors and trends identified from both the demand and supply sides.

Market Definition

Considering the views of various sources and associations, a data center is a centralized facility that houses computing, storage, and networking equipment, along with the necessary infrastructure for managing and processing large volumes of data, supporting organizations' IT requirements. Data center chip market refer to a comprehensive set of components and technology designed to optimize, manage, and enhance the efficiency, reliability, and security of data centers.

Key Stakeholders

  • Government and financial institutions and investment communities
  • Analysts and strategic business planners
  • Semiconductor product designers and fabricators
  • Application providers
  • AI solution providers
  • AI platform providers
  • Business providers
  • Professional service/solution providers
  • Research organizations
  • Technology standard organizations, forums, alliances, and associations
  • Technology investors

Report Objectives

The following are the primary objectives of the study.

  • To describe and forecast the data center chip market size, in terms of value and volume, by component, application, data center size, end user, and region
  • To describe and forecast the market size across four key areas, namely, North America, Europe, Asia Pacific, and Rest of the World (RoW), along with their respective country-level market size, in terms of value
  • To provide detailed information regarding the drivers, restraints, opportunities, and challenges of the data center chip market
  • To strategically analyze the micromarkets1 concerning the individual growth trends, prospects, and their contribution to the data center chip market
  • To map competitive intelligence based on company profiles, key player strategies, and key developments
  • To provide a detailed overview of the data center chip value chain and ecosystem
  • To provide information about the key technology trends and patents related to the data center chip market
  • To provide a detailed overview of the supply chain, ecosystem analysis, case study analysis, patent analysis, trade analysis, technology analysis, average selling price (ASP) analysis, AI/gen AI impact analysis, Porter's five forces analysis, macroeconomic outlook, and regulations about the market of the data center chip.
  • To benchmark the market players using the proprietary company evaluation matrix framework, which analyzes them on various parameters within the broad categories of market ranking/share and product portfolio
  • To analyze competitive developments such as contracts, acquisitions, product launches and developments, collaborations, and partnerships, along with research & development (R&D), in the data center chip market

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