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全球人工智慧晶片市场：按运算能力、记忆体、网路、技术、功能、最终用户和地区划分－预测至2032年
市场调查报告书
商品编码
1961002

全球人工智慧晶片市场：按运算能力、记忆体、网路、技术、功能、最终用户和地区划分－预测至2032年

AI Chip Market By Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory {DRAM (HBM, DDR)}, Network {NIC/Network Adapters, Interconnects}), Function (Training, Inference), & Region - Global Forecast to 2032
出版日期: | 出版商: MarketsandMarkets | 英文 344 Pages | 订单完成后即时交付

价格

预计人工智慧晶片市场将从 2025 年的 2,032.4 亿美元成长到 2032 年的 5,648.7 亿美元。

预计从 2025 年到 2032 年，其复合年增长率将达到 15.7%。

调查范围
调查期 2020-2032
基准年 2024
预测期 2025-2032
目标单元 金额（10亿美元）
部分 依计算类型、记忆体类型、网路类型、技术类型、功能类型、最终使用者类型、区域
目标区域 北美、欧洲、亚太地区及其他地区

预计从2024年到2029年，神经网路处理单元（NPU）细分市场将在人工智慧晶片市场中保持高速成长。这项市场成长主要得益于高阶智慧型手机、人工智慧PC和笔记型电脑的日益普及，这些设备需要在边缘端具备专用的人工智慧能力。 NPU在加速神经网路处理、执行人工智慧驱动的任务方面发挥着重要作用，例如高阶人工智慧影像处理和自然语言处理。市场参与者正致力于开发高端NPU解决方案以保持竞争力。例如，2023年9月，苹果公司（美国）发表了搭载A17 Pro晶片的iPhone 15 Pro系列。这款全新的人工智慧处理器配备了专用的16核心神经网路引擎，每秒可执行35兆次运算（TOPS）。预计此类重大产品开发和发布将在预测期内推动NPU在市场上的普及。

人工智慧晶片市场-IMG1

人工智慧晶片市场中的机器学习领域预计将占据显着的市场份额。人工智慧晶片针对机器学习任务（例如训练和推理）进行了最佳化，使其成为处理大型资料集的关键工具，从而实现预测分析并支援即时决策。推动此类人工智慧晶片普及的关键因素是机器学习模型在自主系统中的柔软性和扩充性，以及个人化建议。这些人工智慧晶片广泛应用于包括云端服务、医疗保健、金融、汽车和零售在内的众多产业。企业正在开发强大的人工智慧晶片，以支援机器学习能力，从而获得商业洞察、改善客户体验并提升整体效率。例如，2024年5月，Google（美国）发布了第六代TPU——Trillium，该产品专注于Google的云端平台，并配备了板载加速器以加速机器学习工作负载。广泛采用TPU的企业正在利用机器学习的强大功能进行预测分析、个人化服务和提升营运效率，这表明该领域对人工智慧晶片的依赖性日益增强。随着企业利用数据的力量来获取洞察力、提高效率和改善客户体验，对机器学习能力的需求正在激增。

预计美国将占据北美人工智慧晶片市场最大的份额。主要科技公司和资料中心营运商的存在正在推动北美人工智慧晶片市场的成长。英伟达（NVIDIA Corporation，美国）、英特尔（Intel Corporation，美国）、AMD（Advanced Micro Devices, Inc.，美国）和Google（Google，美国）等公司以及亚马逊网路服务（AWS，美国）、微软Azure（Microsoft Azure，美国）和Google Cloud（Google Cloud，美国）等云端服务供应商都位于该地区。例如，Google（Google，美国）于2024年4月宣布投资30亿美元，用于扩展其在美国的资料中心。这些资料中心将进一步增强人工智慧基础设施，从而能够为全球提供即时服务。此外，该地区还有多家Start-Ups公司为资料中心提供人工智慧晶片。具体而言，这些公司包括SAPEON Inc.（美国）、Tensorrent（加拿大）、Taalas（加拿大）、Kneron, Inc.（美国）和SambaNova Systems, Inc.（美国）。北美拥有完善的技术基础设施，为先进的人工智慧研发提供了有力支援。该地区聚集了众多配备尖端人工智慧硬体的现代化资料中心，这些硬体包括GPU、TPU和专用人工智慧晶片。大型资料中心和领先的人工智慧晶片开发商在该地区的存在，正在推动人工智慧晶片市场的成长。

为了确定和检验人工智慧晶片市场主要细分领域和子细分领域的市场规模，我们基于二手研究收集的数据，对关键行业专家进行了广泛的一手访谈。本报告中一手访谈对象的详细情况如下：

本报告涵盖的主要企业包括：NVIDIA Corporation（美国）、Intel Corporation（美国）、Advanced Micro Devices, Inc.（美国）、Micron Technology, Inc.（美国）、Google（美国）、Samsung（韩国）、SK HYNIX INC.（韩国）、Qualcomm Technologies, Inc.（美国）、Huawei Technologies（中国）、AppleYin（AGraphination）、BGraphation Inc.（AGraph）、Yin Technologies）、Yin Technologies Inc.（AGraphin）、Yin Technologies）、Yin Technologies Inc.（AGraphin）、Yin Technologies（AGraphin）、Yin）、Yin Technologies（英国）、Yin Technologies（AGraphin）、Yin Technologies）、Apple（英国） Cerebras（美国）。其他 晶片市场的新兴公司包括：Mythic（美国）、Kalray（法国）、Blaize（美国）、Groq, Inc.（美国）、HAILO TECHNOLOGIES LTD（以色列）、GreenWaves Technologies（法国）、SiMa Technologies, Inc.（美国）、Kneron, Inc.（美国）、Rain Neuroanics、M. Inc.（美国）、Taalas（加拿大）、SAPEON Inc.（美国）、Rebellions Inc.（韩国）、 新兴企业 Inc.（美国）和上海毕仁科技有限公司（中国）。

本报告深入分析了以下几点：

对人工智慧晶片市场的关键驱动因素（人工智慧伺服器中 GPU 和 ASIC 的激增）、阻碍因素（人工智慧晶片的运算负载和高电力消耗）、机会（云端服务供应商对人工智慧资料中心的投资增加）和挑战（供应链中断）进行分析。

  • 产品开发/创新：对人工智慧晶片市场的未来技术趋势、研发活动和产品发布/改进进行详细分析。
  • 市场发展：提供盈利市场的全面资讯。本报告分析了不同地区的AI晶片市场。
  • 市场多元化：全面介绍人工智慧晶片市场的新产品发布、未开发的市场、近期趋势和投资机会。
  • 竞争评估：对人工智慧晶片市场主要参与者的市场份额、成长策略和产品供应进行详细评估，包括英伟达公司（美国）、英特尔公司（美国）、主要企业半导体公司（美国）、美光科技公司（美国）、Google（美国）、三星（韩国）、SK海力士公司（韩国）、高通科技公司（美国）、Google（美国）、三星（韩国）、SK海力士公司（韩国）、高通科技公司（美国）和华为技术公司（中国有限公司）。

目录

第一章：引言

第二章执行摘要

第三章重要考察

第四章 市场概览

  • 市场动态
  • 未满足的需求和差距
  • 相互关联的市场与跨产业机会
  • 一、二、三级企业的策略性倡议

第五章 产业趋势

  • 波特五力分析
  • 总体经济指标
  • 价值链分析
  • 生态系分析
  • 价格分析
  • 贸易分析
  • 2026年重大会议和活动
  • 影响客户业务的趋势/颠覆性因素
  • 投资和资金筹措场景
  • 案例研究分析
  • 2025年美国关税对人工智慧晶片市场的影响
  • 伺服器成本结构/材料清单
  • 人工智慧伺服器的激增和成长
  • 云端服务供应商(CSPS) 资料中心的未来发展
  • 云端服务供应商的资本投资
  • 云端服务供应商采购伺服器
  • 处理器基准测试

第六章：技术进步、人工智慧的影响、专利、创新与未来应用

  • 技术分析
  • 技术蓝图
  • 专利分析
  • 未来应用

第七章 监理情势

  • 监管机构、政府机构和其他组织
  • 标准

第八章：顾客趋势与购买行为

  • 决策流程
  • 采购过程中的关键相关人员及其评估标准
  • 招募障碍和内部挑战
  • 各行业尚未满足的需求

第九章：人工智慧晶片市场（按运算系统划分）

  • 图形处理器
  • CPU
  • FPGA
  • NPU
  • TPU
  • DOJO 和 FSD
  • TRAINIUM 和 INFERENTIA
  • ATHENA ASIC
  • T-HEAD
  • MTIA
  • LPU
  • ASCEND
  • 其他的

第十章：人工智慧晶片市场（按记忆体类型划分）

  • DDR
  • HBM

第十一章：人工智慧晶片市场（按网路划分）

  • 网路卡/网路适配器
  • 互连

第十二章：人工智慧晶片市场（按技术划分）

  • 人工智慧世代
  • 机器学习
  • 自然语言处理
  • 电脑视觉

第十三章：人工智慧晶片市场（按功能划分）

  • 训练
  • 推理

第十四章：人工智慧晶片市场（以最终用户划分）

  • 消费者
  • 资料中心
  • 政府机构

第十五章：人工智慧晶片市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 其他的
  • 其他地区
    • 中东
    • 非洲
    • 南美洲

第十六章 竞争格局

  • 概述
  • 主要参与企业的策略/优势，2021-2025年
  • 2021-2024年收入分析
  • 2024年市占率分析
  • 企业估值和财务指标
  • 品牌/产品对比
  • 企业估值矩阵：主要参与企业，2024 年
  • 公司估值矩阵：Start-Ups/中小企业，2024 年
  • 竞争格局

第十七章：公司简介

  • 主要参与企业
    • NVIDIA CORPORATION
    • ADVANCED MICRO DEVICES, INC.
    • INTEL CORPORATION
    • SK HYNIX INC.
    • SAMSUNG
    • MICRON TECHNOLOGY, INC.
    • APPLE INC.
    • QUALCOMM TECHNOLOGIES, INC.
    • HUAWEI TECHNOLOGIES CO., LTD.
    • GOOGLE
    • AMAZON WEB SERVICES, INC.
    • TESLA
    • MICROSOFT
    • META
    • T-HEAD
    • IMAGINATION TECHNOLOGIES
    • GRAPHCORE
    • CEREBRAS
  • 其他公司
    • MYTHIC
    • KALRAY
    • BLAIZE
    • GROQ, INC.
    • HAILO TECHNOLOGIES LTD
    • GREENWAVES TECHNOLOGIES
    • SIMA TECHNOLOGIES, INC.
    • KNERON, INC.
    • RAIN NEUROMORPHICS INC.
    • TENSTORRENT
    • SAMBANOVA SYSTEMS, INC.
    • TAALAS
    • SAPEON INC.
    • REBELLIONS INC.
    • RIVOS INC.
    • SHANGHAI BIREN TECHNOLOGY CO., LTD.

第十八章：调查方法

第十九章附录

Product Code: SE 5997

The AI chip market is projected to grow from USD 203.24 billion in 2025 to USD 564.87 billion by 2032; it is expected to grow at a compound annual growth rate (CAGR) of 15.7% from 2025 to 2032.

Scope of the Report
Years Considered for the Study2020-2032
Base Year2024
Forecast Period2025-2032
Units ConsideredValue (USD Billion)
SegmentsBy Offerings, Network, Function and Region
Regions coveredNorth America, Europe, APAC, RoW

"The neural processing unit (NPU) segment is projected to record a high growth rate during the forecast period."

The neural processing unit (NPU) segment is expected to record a high growth rate in the AI chip market from 2024 to 2029. The market growth is attributed to the increasing adoption of high-end smartphones, AI PCs, and laptops, which require dedicated AI capabilities at the edge. The NPUs help accelerate neural network processing to perform AI-driven tasks, including advanced AI image processing and natural language processing. Market players are extensively focusing on developing high-end NPU solutions to stay competitive in the market. For instance, in September 2023, Apple Inc. (US) launched the iPhone 15 Pro series, featuring the A17 Pro chip. The new AI processor is equipped with a dedicated 16-core Neural Engine, capable of performing 35 trillion operations per second (TOPS). Such significant product developments and launches are expected to amplify the adoption of NPUs in the market over the forecast period.

AI Chip Market - IMG1

"The machine learning segment is expected to account for significant market share throughout the forecast period."

The machine learning segment of the AI chip market is expected to capture a significant market share. AI chips are crucial in processing large datasets to enable predictive analytics, supporting real-time decision-making, as they are optimized for machine learning tasks such as training and inference. For this category of AI chips, the foremost drivers of adoption were flexibility and scalability of machine learning models within autonomous systems and personalized recommendations. This AI chip is widely used in many sectors, including cloud services, healthcare, finance, automotive, and retail. Companies are developing powerful AI chips to support machine learning capabilities, which enable business insights, improve customer experience, and enhance overall efficiency. For instance, Google (US) announced Trillium in May 2024 as its sixth-generation TPU. It focuses on its cloud platform, featuring an onboard accelerator for accelerating machine learning workloads. Enterprises that have adopted TPUs widely bring machine learning power to predictive analytics, personalization, and operational efficiency. This represents increasing dependence on AI chips in this domain. As businesses seek to harness the power of data for insights, efficiencies, and enhanced customer experiences, demand is surging for machine learning capabilities.

"The US is expected to hold the largest share of the North American market during the forecast period."

The US is expected to hold the largest share of the AI chip market in North America. The presence of prominent technology firms and data center operators is driving the AI chip market across North America. The region hosts companies such as NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (AMD) (US), Google (US); and cloud service providers include Amazon Web Services, Inc. (AWS) (US), Microsoft Azure (US), and Google Cloud (US). For instance, in April 2024, Google (US) announced a USD 3 billion investment to expand its data centers across the US. These data centers are further supported by AI infrastructure, enabling them to provide real-time services worldwide. The region also hosts several startups established in the area to provide AI chips for data centers, including SAPEON Inc. (US), Tenstorrent (Canada), Taalas (Canada), Kneron, Inc. (US), and SambaNova Systems, Inc. (US). North America has a well-established technological infrastructure that supports advanced AI research and development. There are many modern data centers in this region, equipped with state-of-the-art AI hardware. They may include GPUs, TPUs, and specialized AI chips. The presence of large-scale data centers and leading AI chip developers in the region is driving the growth of the AI chip market.

Extensive primary interviews were conducted with key industry experts in the AI chip market to determine and verify the market size for various segments and subsegments, which were gathered through secondary research. The breakdown of primary participants for the report is shown below.

The study draws insights from a range of industry experts, including component suppliers, Tier 1 companies, and OEMs. The break-up of the primaries is as follows:

  • By Company Type - Tier 1 - 45%, Tier 2 - 32%, and Tier 3 - 23%
  • By Designation - C-level Executives - 30%, Directors - 45%, and Others - 25%
  • By Region - Asia Pacific - 26%, Europe - 40%, North America - 22%, and RoW - 12%

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 1: >USD 1 billion, Tier 2: USD 500 million to 1 billion, and Tier 3: <USD 500 million.

Prominent players profiled in this report include NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Micron Technology, Inc. (US), Google (US), Samsung (South Korea), SK HYNIX INC. (South Korea), Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), Apple Inc. (US), Imagination Technologies (UK), Graphcore (UK), Cerebras (US). Apart from this, Mythic (US), Kalray (France), Blaize (US), Groq, Inc. (US), HAILO TECHNOLOGIES LTD (Israel), GreenWaves Technologies (France), SiMa Technologies, Inc. (US), Kneron, Inc. (US), Rain Neuromorphics Inc. (US), Tenstorrent (Canada), SambaNova Systems, Inc. (US), Taalas (Canada), SAPEON Inc. (US), Rebellions Inc. (South Korea), Rivos Inc. (US), and Shanghai BiRen Technology Co., Ltd. (China) are among a few emerging companies in the AI chip market.

Report Coverage

The report defines, describes, and forecasts the AI chip market based on type, technology, frequency, application, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the AI chip market. It also analyzes competitive developments, including acquisitions, product launches, expansions, and strategic actions taken by key players to expand in the market.

Reasons to Buy This Report

The report will help market leaders/new entrants in the market with information on the closest approximations of revenue for the overall AI chip market and its subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market, providing them with information on key drivers, restraints, opportunities, and challenges.

The report will provide insights into the following pointers:

Analysis of key drivers (Surging use of GPUs and ASICs in AI servers), restraints (Computational workloads and high power consumption by AI chips), opportunities (Increasing investments in AI-enabled data centers by cloud service providers), and challenges (Supply chain disruptions) in the AI chip market.

  • Product development/Innovation: Detailed insights on upcoming technologies, research & development activities, and product launches/enhancements in the AI chip market.
  • Market Development: Comprehensive information about lucrative markets; the report analyzes the AI chip market across various regions.
  • Market Diversification: Exhaustive information about new products launched, untapped geographies, recent developments, and investments in the AI chip market.
  • Competitive Assessment: In-depth assessment of market share, growth strategies, and offering of leading players such as NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Micron Technology, Inc. (US), Google (US), Samsung (South Korea), SK HYNIX INC. (South Korea), Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), among others in the AI chip market.

TABLE OF CONTENTS

1 INTRODUCTION

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

2 EXECUTIVE SUMMARY

  • 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
  • 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
  • 2.3 DISRUPTIONS SHAPING AI CHIP MARKET
  • 2.4 HIGH-GROWTH SEGMENTS
  • 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

  • 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI CHIP MARKET
  • 3.2 AI CHIP MARKET, BY COMPUTE
  • 3.3 AI CHIP MARKET, BY FUNCTION
  • 3.4 AI CHIP MARKET, BY END USER
  • 3.5 ASIA PACIFIC: AI CHIP MARKET, BY FUNCTION AND COUNTRY
  • 3.6 AI CHIP MARKET, BY COUNTRY

4 MARKET OVERVIEW

  • 4.1 INTRODUCTION
  • 4.2 MARKET DYNAMICS
    • 4.2.1 DRIVERS
      • 4.2.1.1 Pressing need for large-scale data handling and real-time analytics
      • 4.2.1.2 Rising adoption of autonomous vehicles
      • 4.2.1.3 Surging use of GPUs and ASICs in AI servers
      • 4.2.1.4 Continuous advancements in machine learning and deep learning technologies
      • 4.2.1.5 Increasing penetration of AI servers
    • 4.2.2 RESTRAINTS
      • 4.2.2.1 Shortage of skilled workforce with technical know-how
      • 4.2.2.2 Computational workloads and power consumption in AI chips
      • 4.2.2.3 Unreliability of AI algorithms
    • 4.2.3 OPPORTUNITIES
      • 4.2.3.1 Elevating demand for AI-based FPGA chips
      • 4.2.3.2 Government initiatives to deploy AI-enabled defense systems
      • 4.2.3.3 Growing trend of AI-driven diagnostics and treatments
      • 4.2.3.4 Increasing investments in AI-enabled data centers by cloud service providers
      • 4.2.3.5 Rising popularity of AI-based ASIC technology
    • 4.2.4 CHALLENGES
      • 4.2.4.1 Data privacy concerns associated with AI platforms
      • 4.2.4.2 Availability of limited structured data to develop efficient AI systems
      • 4.2.4.3 Supply chain disruptions
  • 4.3 UNMET NEEDS AND WHITE SPACES
    • 4.3.1 UNMET NEEDS IN AI CHIPS MARKET
  • 4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
    • 4.4.1 INTERCONNECTED MARKETS
    • 4.4.2 CROSS-SECTOR OPPORTUNITIES
  • 4.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
    • 4.5.1 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS

5 INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 PORTER'S FIVE FORCES ANALYSIS
    • 5.2.1 THREAT OF NEW ENTRANTS
    • 5.2.2 THREAT OF SUBSTITUTES
    • 5.2.3 BARGAINING POWER OF SUPPLIERS
    • 5.2.4 BARGAINING POWER OF BUYERS
    • 5.2.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.3 MACROECONOMICS INDICATORS
    • 5.3.1 INTRODUCTION
    • 5.3.2 GDP TRENDS AND FORECAST
    • 5.3.3 TRENDS IN AI CHIP MARKET
  • 5.4 VALUE CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
  • 5.6 PRICING ANALYSIS
    • 5.6.1 AVERAGE SELLING PRICE OF COMPUTE, BY KEY PLAYERS
    • 5.6.2 AVERAGE SELLING PRICE TREND, BY REGION
  • 5.7 TRADE ANALYSIS
    • 5.7.1 IMPORT DATA (HS CODE 854231)
    • 5.7.2 EXPORT SCENARIO (HS CODE 854231)
  • 5.8 KEY CONFERENCES AND EVENTS, 2026
  • 5.9 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.10 INVESTMENT AND FUNDING SCENARIO
  • 5.11 CASE STUDY ANALYSIS
    • 5.11.1 CDW INTEGRATED AMD EPYC SOLUTIONS TO ENSURE ENERGY EFFICIENCY AND OPTIMUM SPACE UTILIZATION
    • 5.11.2 OVH SAS LEVERAGED AMD EPYC PROCESSOR TO OPTIMIZE PERFORMANCE OF CLOUD SOLUTIONS IN AI WORKLOADS
    • 5.11.3 INTEL XEON SCALABLE PROCESSORS POWER TENCENT CLOUD'S XIAOWEI INTELLIGENT SPEECH AND VIDEO SERVICE ACCESS PLATFORM
    • 5.11.4 AIC HELPS WESTERN DIGITAL TO ENHANCE SSD TESTING AND VALIDATION EFFICIENCY USING AMD PROCESSOR
  • 5.12 IMPACT OF 2025 US TARIFFS - AI CHIP MARKET
    • 5.12.1 KEY TARIFF RATES
    • 5.12.2 PRICE IMPACT ANALYSIS
    • 5.12.3 IMPACT ON REGIONS/COUNTRIES
      • 5.12.3.1 US
      • 5.12.3.2 Europe
      • 5.12.3.3 Asia Pacific
    • 5.12.4 IMPACT ON END USERS
      • 5.12.4.1 Consumers
      • 5.12.4.2 Data centers
      • 5.12.4.3 Other organizations
  • 5.13 SERVER COST STRUCTURE/BILL OF MATERIALS
    • 5.13.1 CPU SERVER
    • 5.13.2 GPU SERVER
  • 5.14 PENETRATION AND GROWTH OF AI SERVERS
  • 5.15 UPCOMING DEPLOYMENT OF DATA CENTERS BY CLOUD SERVICE PROVIDERS (CSPS)
  • 5.16 CAPEX OF CLOUD SERVICE PROVIDERS
  • 5.17 SERVER PROCUREMENT BY CLOUD SERVICE PROVIDERS
  • 5.18 PROCESSOR BENCHMARKING
    • 5.18.1 GPU BENCHMARKING
    • 5.18.2 CPU BENCHMARKING

6 TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS

  • 6.1 TECHNOLOGY ANALYSIS
    • 6.1.1 KEY TECHNOLOGIES
      • 6.1.1.1 High-bandwidth memory (HBM)
      • 6.1.1.2 GenAI workload
    • 6.1.2 COMPLEMENTARY TECHNOLOGIES
      • 6.1.2.1 Data center power management and cooling system
      • 6.1.2.2 High-speed interconnects
    • 6.1.3 ADJACENT TECHNOLOGIES
      • 6.1.3.1 AI development frameworks
      • 6.1.3.2 Quantum AI
  • 6.2 TECHNOLOGY ROADMAP
  • 6.3 PATENT ANALYSIS
  • 6.4 FUTURE APPLICATIONS

7 REGULATORY LANDSCAPE

  • 7.1 INTRODUCTION
  • 7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.3 STANDARDS

8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR

  • 8.1 DECISION-MAKING PROCESS
  • 8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
    • 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 8.2.2 BUYING CRITERIA
  • 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES
  • 8.4 UNMET NEEDS FROM VARIOUS VERTICALS

9 AI CHIP MARKET, BY COMPUTE

  • 9.1 INTRODUCTION
  • 9.2 GPU
    • 9.2.1 ABILITY TO HANDLE AI WORKLOADS AND PROCESS VAST DATA VOLUMES TO BOOST ADOPTION
  • 9.3 CPU
    • 9.3.1 RISING DEMAND FOR VERSATILE AND GENERAL-PURPOSE AI PROCESSING TO AUGMENT MARKET GROWTH
  • 9.4 FPGA
    • 9.4.1 GROWING NEED FOR FLEXIBILITY AND CUSTOMIZATION FOR AI WORKLOADS TO SPUR DEMAND
  • 9.5 NPU
    • 9.5.1 RISING DEMAND FOR HIGH-END SMARTPHONES TO DRIVE SEGMENTAL GROWTH
  • 9.6 TPU
    • 9.6.1 PRESSING NEED FOR FASTER PROCESSING IN AI RESEARCH AND APPLICATION DEVELOPMENT TO BOOST DEMAND
  • 9.7 DOJO & FSD
    • 9.7.1 ACCELERATING DEMAND FOR HIGH-PERFORMANCE, ENERGY-EFFICIENT AI PROCESSING IN AUTONOMOUS VEHICLES TO FUEL ADOPTION
  • 9.8 TRAINIUM & INFERENTIA
    • 9.8.1 ABILITY TO TRAIN COMPLEX AI AND DEEP LEARNING MODELS TO DRIVE ADOPTION
  • 9.9 ATHENA ASIC
    • 9.9.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE-BASED AI TASKS TO ACCELERATE MARKET GROWTH
  • 9.10 T-HEAD
    • 9.10.1 RISING DEMAND FOR CUSTOMIZED, HIGH-PERFORMANCE AI CHIPS ACROSS CHINESE DATA CENTERS TO STIMULATE MARKET GROWTH
  • 9.11 MTIA
    • 9.11.1 META'S EXPANSION INTO AR, VR, AND METAVERSE TO FUEL DEMAND
  • 9.12 LPU
    • 9.12.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE-BASED AI TASKS TO ACCELERATE MARKET GROWTH
  • 9.13 ASCEND
    • 9.13.1 RISING DEMAND FOR UNIFIED AI ARCHITECTURES AND DOMESTIC CHIP ECOSYSTEMS TO DRIVE MARKET EXPANSION
  • 9.14 OTHER ASICS

10 AI CHIP MARKET, BY MEMORY

  • 10.1 INTRODUCTION
  • 10.2 DDR
    • 10.2.1 RISING ADOPTION OF AI-ENABLED CPUS IN DATA CENTERS TO SUPPORT MARKET GROWTH
  • 10.3 HBM
    • 10.3.1 ELEVATING NEED FOR HIGH THROUGHPUT IN DATA-INTENSIVE AI TASKS TO FUEL MARKET GROWTH

11 AI CHIP MARKET, BY NETWORK

  • 11.1 INTRODUCTION
  • 11.2 NIC/NETWORK ADAPTERS
    • 11.2.1 INFINIBAND
      • 11.2.1.1 Growing utilization of HPC and AI models to minimize latency and maximize throughput to boost segmental growth
    • 11.2.2 ETHERNET
      • 11.2.2.1 Rising demand for scalable and cost-effective networking solutions to propel demand
  • 11.3 INTERCONNECTS
    • 11.3.1 GROWING COMPLEXITY OF AI MODELS REQUIRING HIGH-BANDWIDTH DATA PATHS TO FUEL DEMAND

12 AI CHIP MARKET, BY TECHNOLOGY

  • 12.1 INTRODUCTION
  • 12.2 GENERATIVE AI
    • 12.2.1 RULE-BASED MODELS
      • 12.2.1.1 Rising need to detect fraud in finance sector to propel market
    • 12.2.2 STATISTICAL MODELS
      • 12.2.2.1 Need for accurate predictions from complex data structures to boost segmental growth
    • 12.2.3 DEEP LEARNING
      • 12.2.3.1 Ability to advance AI technologies to boost demand
    • 12.2.4 GENERATIVE ADVERSARIAL NETWORKS (GAN)
      • 12.2.4.1 Pressing need to handle large-scale data to fuel demand
    • 12.2.5 AUTOENCODERS
      • 12.2.5.1 Ability to compress and restructure data to ensure optimum storage space in data centers to stimulate demand
    • 12.2.6 CONVOLUTIONAL NEURAL NETWORKS
      • 12.2.6.1 Surging demand for realistic and high-quality images and videos to accelerate market growth
    • 12.2.7 TRANSFORMER MODELS
      • 12.2.7.1 Increasing utilization in image synthesis and captioning applications to foster segmental growth
  • 12.3 MACHINE LEARNING
    • 12.3.1 RISING USE IN IMAGE & SPEECH RECOGNITION AND PREDICTIVE ANALYTICS TO CONTRIBUTE TO MARKET GROWTH
  • 12.4 NATURAL LANGUAGE PROCESSING
    • 12.4.1 INCREASING NEED FOR REAL-TIME APPLICATIONS TO SUPPORT MARKET GROWTH
  • 12.5 COMPUTER VISION
    • 12.5.1 ESCALATING NEED FOR ADVANCED PROCESSING CAPABILITIES TO BOOST DEMAND

13 AI CHIP MARKET, BY FUNCTION

  • 13.1 INTRODUCTION
  • 13.2 TRAINING
    • 13.2.1 SURGING NEED TO PROCESS LARGE DATA SETS AND PERFORM PARALLEL COMPUTATION TO CREATE GROWTH OPPORTUNITIES
  • 13.3 INFERENCE
    • 13.3.1 SURGING DEPLOYMENT ACROSS VARIOUS INDUSTRIES TO BOOST DEMAND

14 AI CHIP MARKET, BY END USER

  • 14.1 INTRODUCTION
  • 14.2 CONSUMERS
    • 14.2.1 GROWING ADOPTION OF AI-ENABLED PERSONAL DEVICES TO PROPEL MARKET
  • 14.3 DATA CENTERS
    • 14.3.1 CLOUD SERVICE PROVIDERS
      • 14.3.1.1 Surging AI workloads and cloud adoption to stimulate market growth
    • 14.3.2 ENTERPRISES
      • 14.3.2.1 Escalating use of NLP, image recognition, and predictive analytics to create growth opportunities
      • 14.3.2.2 Healthcare
        • 14.3.2.2.1 Integration of AI in computer-aided drug discovery and development to foster market growth
      • 14.3.2.3 BFSI
        • 14.3.2.3.1 Surging need for fraud detection in financial institutions to boost demand
      • 14.3.2.4 Automotive
        • 14.3.2.4.1 Growing focus on safe and enhanced driving experiences to fuel demand
      • 14.3.2.5 Retail & e-commerce
        • 14.3.2.5.1 Increasing use of chatbots and virtual assistants to offer improved customer services to drive market
      • 14.3.2.6 Media & entertainment
        • 14.3.2.6.1 Real-time analysis of viewer preferences, engagement patterns, and demographic information to augment market growth
      • 14.3.2.7 Others
  • 14.4 GOVERNMENT ORGANIZATIONS
    • 14.4.1 SIGNIFICANT FOCUS ON AUTOMATING ROUTINE TASKS AND EXTRACTING REAL-TIME ACTIONABLE INSIGHTS TO SUPPORT MARKET GROWTH

15 AI CHIP MARKET, BY REGION

  • 15.1 INTRODUCTION
  • 15.2 NORTH AMERICA
    • 15.2.1 US
      • 15.2.1.1 Government-led initiatives to boost semiconductor manufacturing to drive market
    • 15.2.2 CANADA
      • 15.2.2.1 Growing emphasis on commercializing AI to spur demand
    • 15.2.3 MEXICO
      • 15.2.3.1 Increasing shift toward digital platforms and cloud-based solutions to accelerate demand
  • 15.3 EUROPE
    • 15.3.1 UK
      • 15.3.1.1 Growing investments in data center infrastructure to boost demand
    • 15.3.2 GERMANY
      • 15.3.2.1 Robust industrial base to offer lucrative growth opportunities
    • 15.3.3 FRANCE
      • 15.3.3.1 Increasing number of AI startups to accelerate demand
    • 15.3.4 ITALY
      • 15.3.4.1 Rising trend of digitalization in automotive and healthcare sectors to drive market
    • 15.3.5 SPAIN
      • 15.3.5.1 Growing collaborations and partnerships among AI manufacturers to spur demand
    • 15.3.6 REST OF EUROPE
  • 15.4 ASIA PACIFIC
    • 15.4.1 CHINA
      • 15.4.1.1 Surge in research funding and implementation of supportive regulatory policy to augment market growth
    • 15.4.2 JAPAN
      • 15.4.2.1 Rising focus on advancing robotic systems to boost market
    • 15.4.3 INDIA
      • 15.4.3.1 Government-led initiatives to boost AI infrastructure to foster market growth
    • 15.4.4 SOUTH KOREA
      • 15.4.4.1 Thriving semiconductor industry to drive market
    • 15.4.5 REST OF ASIA PACIFIC
  • 15.5 REST OF THE WORLD
    • 15.5.1 MIDDLE EAST
      • 15.5.1.1 Growing emphasis on digital transformation and technological innovation to drive market
      • 15.5.1.2 GCC countries
      • 15.5.1.3 Rest of Middle East
    • 15.5.2 AFRICA
      • 15.5.2.1 Rising internet penetration and mobile subscriptions to drive market
    • 15.5.3 SOUTH AMERICA
      • 15.5.3.1 Growing need to store vast volumes of data to boost demand

16 COMPETITIVE LANDSCAPE

  • 16.1 OVERVIEW
  • 16.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
  • 16.3 REVENUE ANALYSIS, 2021-2024
  • 16.4 MARKET SHARE ANALYSIS, 2024
    • 16.4.1 COMPUTE MARKET SHARE, 2024
    • 16.4.2 MEMORY (HBM) MARKET SHARE, 2023
  • 16.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 16.6 BRAND/PRODUCT COMPARISON
  • 16.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    • 16.7.1 STARS
    • 16.7.2 EMERGING LEADERS
    • 16.7.3 PERVASIVE PLAYERS
    • 16.7.4 PARTICIPANTS
    • 16.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
      • 16.7.5.1 Company footprint
      • 16.7.5.2 Regional footprint
      • 16.7.5.3 Compute footprint
      • 16.7.5.4 Memory footprint
      • 16.7.5.5 Network footprint
      • 16.7.5.6 Technology footprint
      • 16.7.5.7 Function footprint
      • 16.7.5.8 End user footprint
  • 16.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    • 16.8.1 PROGRESSIVE COMPANIES
    • 16.8.2 RESPONSIVE COMPANIES
    • 16.8.3 DYNAMIC COMPANIES
    • 16.8.4 STARTING BLOCKS
    • 16.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
      • 16.8.5.1 Detailed list of key startups/SMEs
      • 16.8.5.2 Competitive benchmarking of key startups/SMEs
  • 16.9 COMPETITIVE SCENARIO
    • 16.9.1 PRODUCT LAUNCHES
    • 16.9.2 DEALS

17 COMPANY PROFILES

  • 17.1 KEY PLAYERS
    • 17.1.1 NVIDIA CORPORATION
      • 17.1.1.1 Business overview
      • 17.1.1.2 Products/Solutions/Services offered
      • 17.1.1.3 Recent developments
        • 17.1.1.3.1 Product launches
        • 17.1.1.3.2 Deals
      • 17.1.1.4 MnM view
        • 17.1.1.4.1 Key strengths
        • 17.1.1.4.2 Strategic choices
        • 17.1.1.4.3 Weaknesses and competitive threats
    • 17.1.2 ADVANCED MICRO DEVICES, INC.
      • 17.1.2.1 Business overview
      • 17.1.2.2 Products/Solutions/Services offered
      • 17.1.2.3 Recent developments
        • 17.1.2.3.1 Product launches
        • 17.1.2.3.2 Deals
      • 17.1.2.4 MnM view
        • 17.1.2.4.1 Key strengths
        • 17.1.2.4.2 Strategic choices
        • 17.1.2.4.3 Weaknesses and competitive threats
    • 17.1.3 INTEL CORPORATION
      • 17.1.3.1 Business overview
      • 17.1.3.2 Products/Solutions/Services offered
      • 17.1.3.3 Recent developments
        • 17.1.3.3.1 Product launches
        • 17.1.3.3.2 Deals
      • 17.1.3.4 MnM view
        • 17.1.3.4.1 Key strengths
        • 17.1.3.4.2 Strategic choices
        • 17.1.3.4.3 Weaknesses and competitive threats
    • 17.1.4 SK HYNIX INC.
      • 17.1.4.1 Business overview
      • 17.1.4.2 Products/Solutions/Services offered
      • 17.1.4.3 Recent developments
        • 17.1.4.3.1 Product launches
        • 17.1.4.3.2 Deals
        • 17.1.4.3.3 Other developments
      • 17.1.4.4 MnM view
        • 17.1.4.4.1 Key strengths
        • 17.1.4.4.2 Strategic choices
        • 17.1.4.4.3 Weaknesses and competitive threats
    • 17.1.5 SAMSUNG
      • 17.1.5.1 Business overview
      • 17.1.5.2 Products/Solutions/Services offered
      • 17.1.5.3 Recent developments
        • 17.1.5.3.1 Product launches
        • 17.1.5.3.2 Deals
      • 17.1.5.4 MnM view
        • 17.1.5.4.1 Key strengths
        • 17.1.5.4.2 Strategic choices
        • 17.1.5.4.3 Weaknesses and competitive threats
    • 17.1.6 MICRON TECHNOLOGY, INC.
      • 17.1.6.1 Business overview
      • 17.1.6.2 Products/Solutions/Services offered
      • 17.1.6.3 Recent developments
        • 17.1.6.3.1 Product launches
        • 17.1.6.3.2 Deals
    • 17.1.7 APPLE INC.
      • 17.1.7.1 Business overview
      • 17.1.7.2 Products/Solutions/Services offered
      • 17.1.7.3 Recent developments
        • 17.1.7.3.1 Product launches
        • 17.1.7.3.2 Deals
    • 17.1.8 QUALCOMM TECHNOLOGIES, INC.
      • 17.1.8.1 Business overview
      • 17.1.8.2 Products/Solutions/Services offered
      • 17.1.8.3 Recent developments
        • 17.1.8.3.1 Product launches
        • 17.1.8.3.2 Deals
    • 17.1.9 HUAWEI TECHNOLOGIES CO., LTD.
      • 17.1.9.1 Business overview
      • 17.1.9.2 Products/Solutions/Services offered
      • 17.1.9.3 Recent developments
        • 17.1.9.3.1 Product launches
        • 17.1.9.3.2 Deals
    • 17.1.10 GOOGLE
      • 17.1.10.1 Business overview
      • 17.1.10.2 Products/Solutions/Services offered
      • 17.1.10.3 Recent developments
        • 17.1.10.3.1 Product launches
        • 17.1.10.3.2 Deals
    • 17.1.11 AMAZON WEB SERVICES, INC.
      • 17.1.11.1 Business overview
      • 17.1.11.2 Products/Solutions/Services offered
      • 17.1.11.3 Recent developments
        • 17.1.11.3.1 Product launches
        • 17.1.11.3.2 Deals
    • 17.1.12 TESLA
      • 17.1.12.1 Business overview
      • 17.1.12.2 Products/Solutions/Services offered
    • 17.1.13 MICROSOFT
      • 17.1.13.1 Business overview
      • 17.1.13.2 Products/Solutions/Services offered
      • 17.1.13.3 Recent developments
        • 17.1.13.3.1 Product launches
        • 17.1.13.3.2 Deals
    • 17.1.14 META
      • 17.1.14.1 Business overview
      • 17.1.14.2 Products/Solutions/Services offered
      • 17.1.14.3 Recent developments
        • 17.1.14.3.1 Product launches
        • 17.1.14.3.2 Deals
    • 17.1.15 T-HEAD
      • 17.1.15.1 Business overview
      • 17.1.15.2 Products/Solutions/Services offered
    • 17.1.16 IMAGINATION TECHNOLOGIES
      • 17.1.16.1 Business overview
      • 17.1.16.2 Products/Solutions/Services offered
      • 17.1.16.3 Recent developments
        • 17.1.16.3.1 Product launches
        • 17.1.16.3.2 Deals
    • 17.1.17 GRAPHCORE
      • 17.1.17.1 Business overview
      • 17.1.17.2 Products/Solutions/Services offered
      • 17.1.17.3 Recent developments
        • 17.1.17.3.1 Product launches
        • 17.1.17.3.2 Deals
    • 17.1.18 CEREBRAS
      • 17.1.18.1 Business overview
      • 17.1.18.2 Products/Solutions/Services offered
      • 17.1.18.3 Recent developments
        • 17.1.18.3.1 Product launches
        • 17.1.18.3.2 Deals
  • 17.2 OTHER PLAYERS
    • 17.2.1 MYTHIC
    • 17.2.2 KALRAY
    • 17.2.3 BLAIZE
    • 17.2.4 GROQ, INC.
    • 17.2.5 HAILO TECHNOLOGIES LTD
    • 17.2.6 GREENWAVES TECHNOLOGIES
    • 17.2.7 SIMA TECHNOLOGIES, INC.
    • 17.2.8 KNERON, INC.
    • 17.2.9 RAIN NEUROMORPHICS INC.
    • 17.2.10 TENSTORRENT
    • 17.2.11 SAMBANOVA SYSTEMS, INC.
    • 17.2.12 TAALAS
    • 17.2.13 SAPEON INC.
    • 17.2.14 REBELLIONS INC.
    • 17.2.15 RIVOS INC.
    • 17.2.16 SHANGHAI BIREN TECHNOLOGY CO., LTD.

18 RESEARCH METHODOLOGY

  • 18.1 RESEARCH DATA
    • 18.1.1 SECONDARY DATA
      • 18.1.1.1 List of key secondary sources
      • 18.1.1.2 Key data from secondary sources
    • 18.1.2 PRIMARY DATA
      • 18.1.2.1 List of key interview participants
      • 18.1.2.2 Breakdown of primaries
      • 18.1.2.3 Key industry insights
    • 18.1.3 SECONDARY AND PRIMARY RESEARCH
  • 18.2 MARKET SIZE ESTIMATION
    • 18.2.1 BOTTOM-UP APPROACH
      • 18.2.1.1 Approach to estimate market size using bottom-up analysis (supply side)
    • 18.2.2 TOP-DOWN APPROACH
      • 18.2.2.1 Approach to estimate market size using top-down analysis (demand side)
  • 18.3 DATA TRIANGULATION
  • 18.4 RESEARCH ASSUMPTIONS
  • 18.5 RISK ANALYSIS
  • 18.6 RESEARCH LIMITATIONS

19 APPENDIX

  • 19.1 DISCUSSION GUIDE
  • 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 19.3 CUSTOMIZATION OPTIONS
  • 19.4 RELATED REPORTS
  • 19.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 SUMMARY OF CHANGES: PREVIOUS AND UPDATED VERSIONS
  • TABLE 2 REGION-WISE MOBILE DATA TRAFFIC
  • TABLE 3 BLACKWELL PLATFORM OF NVIDIA TO EXCEED TDP OF 1 KW
  • TABLE 4 IMPACT OF PORTER'S FIVE FORCES ON AI CHIP MARKET
  • TABLE 5 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021-2030
  • TABLE 6 ROLE OF PLAYERS IN AI CHIP MARKET ECOSYSTEM
  • TABLE 7 INDICATIVE PRICING ANALYSIS OF COMPUTE, BY KEY PLAYERS, 2024 (USD)
  • TABLE 8 INDICATIVE PRICING ANALYSIS OF COMPUTE, 2020-2024 (USD)
  • TABLE 9 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021-2024 (USD)
  • TABLE 10 AVERAGE SELLING PRICE TREND OF CPU, BY REGION, 2021-2024 (USD)
  • TABLE 11 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021-2024 (USD)
  • TABLE 12 IMPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2020-2024 (USD MILLION)
  • TABLE 13 EXPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2020-2024 (USD MILLION)
  • TABLE 14 AI CHIP MARKET: KEY CONFERENCES AND EVENTS, 2026
  • TABLE 15 US ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 16 CPU SERVER BILL OF MATERIALS (BOM), 2024
  • TABLE 17 GPU/AI SERVERS COST STRUCTURE FOR NVIDIA'S A100, 2024
  • TABLE 18 GPU/AI SERVERS COST STRUCTURE FOR NVIDIA'S H100, 2024
  • TABLE 19 COMPARISON OF NVIDIA AI GPU SPECIFICATIONS
  • TABLE 20 COMPARISON OF CPU SPECIFICATIONS
  • TABLE 21 TECHNOLOGY ROADMAP
  • TABLE 22 AI CHIP MARKET: LIST OF MAJOR PATENTS
  • TABLE 23 FUTURE APPLICATIONS
  • TABLE 24 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 25 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 26 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 27 REST OF THE WORLD: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 28 AI CHIP MARKET: STANDARDS
  • TABLE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS (%)
  • TABLE 30 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • TABLE 31 UNMET NEEDS IN AI CHIP MARKET BY END USER
  • TABLE 32 AI CHIP MARKET, BY COMPUTE, 2021-2024 (USD MILLION)
  • TABLE 33 AI CHIP MARKET, BY COMPUTE, 2025-2032 (USD MILLION)
  • TABLE 34 AI CHIP MARKET, BY COMPUTE, 2021-2024 (THOUSAND UNITS)
  • TABLE 35 AI CHIP MARKET, BY COMPUTE, 2025-2032 (THOUSAND UNITS)
  • TABLE 36 GPU: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 37 GPU: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 38 CPU: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 39 CPU: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 40 FPGA: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 41 FPGA: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 42 NPU: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 43 NPU: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 44 AI CHIP MARKET, BY MEMORY, 2021-2024 (USD MILLION)
  • TABLE 45 AI CHIP MARKET, BY MEMORY, 2025-2032 (USD MILLION)
  • TABLE 46 AI CHIP MARKET, BY MEMORY, 2021-2024 (PETABYTE)
  • TABLE 47 AI CHIP MARKET, BY MEMORY, 2025-2032 (PETABYTE)
  • TABLE 48 AI CHIP MARKET FOR MEMORY, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 49 AI CHIP MARKET FOR MEMORY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 50 AI CHIP MARKET, BY NETWORK, 2021-2024 (USD MILLION)
  • TABLE 51 AI CHIP MARKET, BY NETWORK, 2025-2032 (USD MILLION)
  • TABLE 52 AI CHIP MARKET, BY NETWORK, 2021-2024 (THOUSAND UNITS)
  • TABLE 53 AI CHIP MARKET, BY NETWORK, 2025-2032 (THOUSAND UNITS)
  • TABLE 54 AI CHIP MARKET FOR NETWORK, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 55 AI CHIP MARKET FOR NETWORK, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 56 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2021-2024 (USD MILLION)
  • TABLE 57 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2025-2032 (USD MILLION)
  • TABLE 58 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2021-2024 (THOUSAND UNITS)
  • TABLE 59 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2025-2032 (THOUSAND UNITS)
  • TABLE 60 AI CHIP MARKET, BY TECHNOLOGY, 2021-2024 (USD MILLION)
  • TABLE 61 AI CHIP MARKET, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 62 GENERATIVE AI: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 63 GENERATIVE AI: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 64 GENERATIVE AI: AI CHIP MARKET, BY TYPE, 2021-2024 (USD MILLION)
  • TABLE 65 GENERATIVE AI: AI CHIP MARKET, BY TYPE, 2025-2032 (USD MILLION)
  • TABLE 66 RULE-BASED MODELS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 67 RULE-BASED MODELS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 68 STATISTICAL MODELS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 69 STATISTICAL MODELS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 70 DEEP LEARNING: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 71 DEEP LEARNING: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 72 GENERATIVE ADVERSARIAL NETWORKS (GANS): AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 73 GENERATIVE ADVERSARIAL NETWORKS (GANS): AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 74 AUTOENCODERS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 75 AUTOENCODERS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 76 CONVOLUTIONAL NEURAL NETWORKS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 77 CONVOLUTIONAL NEURAL NETWORKS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 78 TRANSFORMER MODELS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 79 TRANSFORMER MODELS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 80 MACHINE LEARNING: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 81 MACHINE LEARNING: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 82 NATURAL LANGUAGE PROCESSING: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 83 NATURAL LANGUAGE PROCESSING: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 84 COMPUTER VISION: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 85 COMPUTER VISION: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 86 AI CHIP MARKET, BY FUNCTION, 2021-2024 (USD MILLION)
  • TABLE 87 AI CHIP MARKET, BY FUNCTION, 2025-2032 (USD MILLION)
  • TABLE 88 AI CHIP MARKET FOR COMPUTE, BY FUNCTION, 2021-2024 (THOUSAND UNITS)
  • TABLE 89 AI CHIP MARKET FOR COMPUTE, BY FUNCTION, 2025-2032 (THOUSAND UNITS)
  • TABLE 90 AI CHIP MARKET, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 91 AI CHIP MARKET, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 92 CONSUMERS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 93 CONSUMERS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 94 DATA CENTERS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 95 DATA CENTERS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 96 CLOUD SERVICE PROVIDERS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 97 CLOUD SERVICE PROVIDERS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 98 ENTERPRISES: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 99 ENTERPRISES: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 100 HEALTHCARE: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 101 HEALTHCARE: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 102 BFSI: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 103 BFSI: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 104 AUTOMOTIVE: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 105 AUTOMOTIVE: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 106 RETAIL & E-COMMERCE: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 107 RETAIL & E-COMMERCE: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 108 MEDIA & ENTERTAINMENT: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 109 MEDIA & ENTERTAINMENT: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 110 OTHERS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 111 OTHERS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 112 GOVERNMENT ORGANIZATIONS: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 113 GOVERNMENT ORGANIZATIONS: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 114 AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 115 AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 116 NORTH AMERICA: AI CHIP MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 117 NORTH AMERICA: AI CHIP MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 118 NORTH AMERICA: AI CHIP MARKET, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 119 NORTH AMERICA: AI CHIP MARKET, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 120 NORTH AMERICA: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 121 NORTH AMERICA: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 122 NORTH AMERICA: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 123 NORTH AMERICA: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 124 NORTH AMERICA: AI CHIP MARKET, BY COMPUTE, 2021-2024 (USD MILLION)
  • TABLE 125 NORTH AMERICA: AI CHIP MARKET, BY COMPUTE, 2025-2032 (USD MILLION)
  • TABLE 126 EUROPE: AI CHIP MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 127 EUROPE: AI CHIP MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 128 EUROPE: AI CHIP MARKET, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 129 EUROPE: AI CHIP MARKET, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 130 EUROPE: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 131 EUROPE: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 132 EUROPE: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 133 EUROPE: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 134 EUROPE: AI CHIP MARKET, BY COMPUTE, 2021-2024 (USD MILLION)
  • TABLE 135 EUROPE: AI CHIP MARKET, BY COMPUTE, 2025-2032 (USD MILLION)
  • TABLE 136 ASIA PACIFIC: AI CHIP MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 137 ASIA PACIFIC: AI CHIP MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: AI CHIP MARKET, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: AI CHIP MARKET, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 140 ASIA PACIFIC: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 141 ASIA PACIFIC: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 142 ASIA PACIFIC: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 143 ASIA PACIFIC: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 144 ASIA PACIFIC: AI CHIP MARKET, BY COMPUTE, 2021-2024 (USD MILLION)
  • TABLE 145 ASIA PACIFIC: AI CHIP MARKET, BY COMPUTE, 2025-2032 (USD MILLION)
  • TABLE 146 REST OF THE WORLD: AI CHIP MARKET, BY REGION, 2021-2024 (USD MILLION)
  • TABLE 147 REST OF THE WORLD: AI CHIP MARKET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 148 REST OF THE WORLD: AI CHIP MARKET, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 149 REST OF THE WORLD: AI CHIP MARKET, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 150 REST OF THE WORLD: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 151 REST OF THE WORLD: AI CHIP MARKET FOR DATA CENTERS, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 152 REST OF THE WORLD: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2021-2024 (USD MILLION)
  • TABLE 153 REST OF THE WORLD: AI CHIP MARKET FOR ENTERPRISES, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 154 REST OF THE WORLD: AI CHIP MARKET, BY COMPUTE, 2021-2024 (USD MILLION)
  • TABLE 155 REST OF THE WORLD: AI CHIP MARKET, BY COMPUTE, 2025-2032 (USD MILLION)
  • TABLE 156 MIDDLE EAST: AI CHIP MARKET, BY COUNTRY, 2021-2024 (USD MILLION)
  • TABLE 157 MIDDLE EAST: AI CHIP MARKET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 158 OVERVIEW OF STRATEGIES ADOPTED BY AI CHIP PROVIDERS
  • TABLE 159 AI CHIP MARKET SHARE ANALYSIS, 2024
  • TABLE 160 MEMORY (HBM) MARKET: DEGREE OF COMPETITION
  • TABLE 161 AI CHIP MARKET: REGIONAL FOOTPRINT, 2024
  • TABLE 162 AI CHIP MARKET: COMPUTE FOOTPRINT, 2024
  • TABLE 163 AI CHIP MARKET: MEMORY FOOTPRINT, 2024
  • TABLE 164 AI CHIP MARKET: NETWORK FOOTPRINT, 2024
  • TABLE 165 AI CHIP MARKET: TECHNOLOGY FOOTPRINT, 2024
  • TABLE 166 AI CHIP MARKET: FUNCTION FOOTPRINT, 2024
  • TABLE 167 AI CHIP MARKET: END USER FOOTPRINT, 2024
  • TABLE 168 AI CHIP MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2024
  • TABLE 169 AI CHIP MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024
  • TABLE 170 AI CHIP MARKET: PRODUCT LAUNCHES, JANUARY 2021-OCTOBER 2025
  • TABLE 171 AI CHIP MARKET: DEALS, JANUARY 2021-OCTOBER 2025
  • TABLE 172 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 173 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 174 NVIDIA CORPORATION: PRODUCT LAUNCHES
  • TABLE 175 NVIDIA CORPORATION: DEALS
  • TABLE 176 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 177 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 178 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
  • TABLE 179 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 180 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 181 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 182 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 183 INTEL CORPORATION: DEALS
  • TABLE 184 SK HYNIX INC.: COMPANY OVERVIEW
  • TABLE 185 SK HYNIX INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERING
  • TABLE 186 SK HYNIX INC.: PRODUCT LAUNCHES
  • TABLE 187 SK HYNIX INC.: DEALS
  • TABLE 188 SK HYNIX INC.: OTHER DEVELOPMENTS
  • TABLE 189 SAMSUNG: COMPANY OVERVIEW
  • TABLE 190 SAMSUNG: PRODUCTS/SOLUTIONS/SERVICES: PRODUCT OFFERED
  • TABLE 191 SAMSUNG: PRODUCT LAUNCHES
  • TABLE 192 SAMSUNG: DEALS
  • TABLE 193 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
  • TABLE 194 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 195 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
  • TABLE 196 MICRON TECHNOLOGY, INC.: DEALS
  • TABLE 197 APPLE INC.: COMPANY OVERVIEW
  • TABLE 198 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 199 APPLE INC.: PRODUCT LAUNCHES
  • TABLE 200 APPLE INC.: DEALS
  • TABLE 201 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
  • TABLE 202 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 203 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
  • TABLE 204 QUALCOMM TECHNOLOGIES, INC.: DEALS
  • TABLE 205 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
  • TABLE 206 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 207 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES
  • TABLE 208 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
  • TABLE 209 GOOGLE: COMPANY OVERVIEW
  • TABLE 210 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 211 GOOGLE: PRODUCT LAUNCHES
  • TABLE 212 GOOGLE: DEALS
  • TABLE 213 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
  • TABLE 214 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 215 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
  • TABLE 216 AMAZON WEB SERVICES, INC.: DEALS
  • TABLE 217 TESLA: COMPANY OVERVIEW
  • TABLE 218 TESLA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 219 MICROSOFT: COMPANY OVERVIEW
  • TABLE 220 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 221 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 222 MICROSOFT: DEALS
  • TABLE 223 META: COMPANY OVERVIEW
  • TABLE 224 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 225 META: PRODUCT LAUNCHES
  • TABLE 226 META: DEALS
  • TABLE 227 T-HEAD: COMPANY OVERVIEW
  • TABLE 228 T-HEAD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 229 IMAGINATION TECHNOLOGIES: COMPANY OVERVIEW
  • TABLE 230 IMAGINATION TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 231 IMAGINATION TECHNOLOGIES: PRODUCT LAUNCHES
  • TABLE 232 IMAGINATION TECHNOLOGIES: DEALS
  • TABLE 233 GRAPHCORE: COMPANY OVERVIEW
  • TABLE 234 GRAPHCORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 235 GRAPHCORE: PRODUCT LAUNCHES
  • TABLE 236 GRAPHCORE: DEALS
  • TABLE 237 CEREBRAS: COMPANY OVERVIEW
  • TABLE 238 CEREBRAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 239 CEREBRAS: PRODUCT LAUNCHES
  • TABLE 240 CEREBRAS: DEALS
  • TABLE 241 AI CHIP MARKET: RESEARCH ASSUMPTIONS

List of Figures

  • FIGURE 1 AI CHIP MARKET SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 MARKET SCENARIO
  • FIGURE 3 AI CHIP MARKET, 2022-2032
  • FIGURE 4 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN AI CHIP MARKET, 2021-2025
  • FIGURE 5 DISRUPTIONS INFLUENCING AI CHIP MARKET GROWTH
  • FIGURE 6 AI CHIP MARKET: HIGH-GROWTH SEGMENTS, 2025-2032
  • FIGURE 7 ASIA PACIFIC TO LEAD MARKET BY 2032
  • FIGURE 8 INCREASING PENETRATION OF AI SERVERS TO DRIVE MARKET
  • FIGURE 9 GPU SEGMENT TO DOMINATE MARKET FROM 2025 TO 2032
  • FIGURE 10 INFERENCE SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 11 DATA CENTERS SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 12 INFERENCE SEGMENT AND CHINA TO HOLD LARGEST MARKET SHARES IN ASIA PACIFIC IN 2032
  • FIGURE 13 CHINA TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 14 AI CHIP MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 15 AI CHIP MARKET: IMPACT ANALYSIS OF DRIVERS
  • FIGURE 16 NVIDIA DATACENTER GPU POWER CONSUMPTION IN TDP
  • FIGURE 17 INTEL DATACENTER GPU POWER CONSUMPTION IN TDP
  • FIGURE 18 AI CHIP MARKET: IMPACT ANALYSIS OF RESTRAINTS
  • FIGURE 19 AI CHIP MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
  • FIGURE 20 AI CHIP MARKET: IMPACT ANALYSIS OF CHALLENGES
  • FIGURE 21 AI CHIP MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 22 AI CHIP MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 23 AI CHIP MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 24 AVERAGE SELLING PRICE OF COMPUTE, BY KEY PLAYERS, 2024 (USD)
  • FIGURE 25 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021-2024
  • FIGURE 26 AVERAGE SELLING PRICE TREND OF CPU, BY REGION, 2021-2024
  • FIGURE 27 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021-2024
  • FIGURE 28 IMPORT SCENARIO FOR HS CODE 854231-COMPLIANT PRODUCTS IN TOP 5 COUNTRIES, 2020-2024
  • FIGURE 29 EXPORT SCENARIO FOR HS CODE 854231-COMPLIANT PRODUCTS IN TOP 5 COUNTRIES, 2020-2024
  • FIGURE 30 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR AI CHIP MARKET PLAYERS
  • FIGURE 31 INVESTMENT AND FUNDING SCENARIO, 2021-2025 (USD MILLION)
  • FIGURE 32 CPU SERVERS: BILL OF MATERIALS (BOM) SHARE, 2024
  • FIGURE 33 NVIDIA A100 SERVERS: BILL OF MATERIALS (BOM) SHARE, 2024
  • FIGURE 34 NVIDIA H100 SERVERS: BILL OF MATERIALS (BOM) SHARE, 2024
  • FIGURE 35 GLOBAL OVERALL SERVER AND AI SERVER SHIPMENTS, 2021-2032 (THOUSAND UNITS)
  • FIGURE 36 UPCOMING DEPLOYMENT OF DATA CENTERS BY CLOUD SERVICE PROVIDERS (CSPS) IN VARIOUS REGIONS
  • FIGURE 37 CAPEX AND IT EQUIPMENT SPENDS BY GLOBAL CSPS/HYPERSCALERS, 2020-2030 (USD BILLION)
  • FIGURE 38 CAPEX OF TOP CSPS/HYPERSCALERS, 2024
  • FIGURE 39 GLOBAL IT EQUIPMENT SPENDS BY CSPS/HYPERSCALERS, 2024
  • FIGURE 40 AI SERVER PROCUREMENT BY CSPS, 2021-2030 (THOUSAND UNITS)
  • FIGURE 41 NVIDIA AI CHIPS WITH HIGH-BANDWIDTH MEMORY
  • FIGURE 42 AI CHIP MARKET: PATENTS APPLIED AND GRANTED, 2014-2025
  • FIGURE 43 AI CHIPS DECISION-MAKING FACTORS
  • FIGURE 44 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 45 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 46 ADOPTION BARRIERS AND INTERNAL CHALLENGES
  • FIGURE 47 GPU SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 48 HBM SEGMENT TO REGISTER HIGHER CAGR THAN DDR SEGMENT DURING FORECAST PERIOD
  • FIGURE 49 NIC/NETWORK ADAPTERS SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 50 MACHINE LEARNING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 51 INFERENCE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 52 DATA CENTERS SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 53 ASIA PACIFIC TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
  • FIGURE 54 NORTH AMERICA: AI CHIP MARKET SNAPSHOT
  • FIGURE 55 EUROPE: AI CHIP MARKET SNAPSHOT
  • FIGURE 56 ASIA PACIFIC: AI CHIP MARKET SNAPSHOT
  • FIGURE 57 REVENUE ANALYSIS OF TOP THREE PLAYERS, 2021-2024 (USD MILLION)
  • FIGURE 58 COMPUTE MARKET SHARE, 2024
  • FIGURE 59 MEMORY (HBM) MARKET SHARE, 2024
  • FIGURE 60 COMPANY VALUATION, 2026
  • FIGURE 61 FINANCIAL METRICS (EV/EBITDA), 2026
  • FIGURE 62 AI CHIP MARKET: BRAND/PRODUCT COMPARISON
  • FIGURE 63 AI CHIP MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 64 AI CHIP MARKET: COMPANY FOOTPRINT, 2024
  • FIGURE 65 AI CHIP MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 66 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 67 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 68 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 69 SAMSUNG: COMPANY SNAPSHOT
  • FIGURE 70 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • FIGURE 71 APPLE INC.: COMPANY SNAPSHOT
  • FIGURE 72 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
  • FIGURE 73 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT
  • FIGURE 74 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 75 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 76 TESLA: COMPANY SNAPSHOT
  • FIGURE 77 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 78 META: COMPANY SNAPSHOT
  • FIGURE 79 AI CHIP MARKET: RESEARCH DESIGN
  • FIGURE 80 AI CHIP MARKET: RESEARCH FLOW
  • FIGURE 81 AI CHIP MARKET: BOTTOM-UP APPROACH
  • FIGURE 82 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE GENERATED BY AI CHIP MANUFACTURERS
  • FIGURE 83 AI CHIP MARKET: TOP-DOWN APPROACH
  • FIGURE 84 DATA TRIANGULATION