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市场调查报告书
商品编码
1604522

AI晶片组市场：2024-2029年预测

AI Chipsets Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 118 Pages | 商品交期: 最快1-2个工作天内

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简介目录

AI晶片组市场预计将以25.87%的复合年增长率成长，从2024年的681.94亿美元成长到2029年的1591.78亿美元。

人工智慧晶片组是为各种运算设备专门设计的一类晶片，用于高效执行基于人工智慧的运算。存在多种类型的 AI 晶片组，包括基于 AI 的 GPU、神经处理单元 (NPU) 和记忆体晶片。与其他类型的晶片相比，人工智慧晶片的设计目的是整合更高的神经处理效率，并提供能源效率、超快运算和低延迟。

人工智慧晶片组还提供应用灵活性，因为它们比其他晶片具有更高的可自订性，甚至可以针对特定的人工智慧训练模型和应用程式进行建置。这些晶片是专门製造的，具有更高级别的运算能力，因此它们的性能也优于其他类型的晶片。这些晶片提供更有效率、更准确的结果，可以执行自然语言处理（NLP）和资料分析等核心任务。

AI晶片市场驱动因素

  • 越来越重视建构人工智慧系统

平板电脑和智慧型手机等各种电子设备对高阶规格的需求不断增长，推动了消费性电子产品对人工智慧晶片组的需求。许多製造商不断发布尖端的人工智慧晶片组来满足这种不断增长的需求。

台湾晶片製造商联发科技于 2022 年 5 月发布了用于人工智慧物联网 (AIoT) 设备的 Genio 架构和 Genio 1200 晶片。 MediaTek Genio 提供专为 AIoT 量身定制的综合平台堆迭、开放平台 SDK 以及拥有丰富资源和工具的开发者入口网站。

此外，越来越多地使用量子运算技术进行分析运算和解决复杂问题也正在扩大人工智慧晶片组市场。 Google 于 2023 年 12 月发布了 Cloud TPU v5p。相当长一段时间以来，这些 TPU 一直是 AI 驱动产品（例如 YouTube、Gmail、Google 地图、Google Play 和 Android）的训练和部署的支柱。随着对量子运算理解的加深，对人工智慧晶片组的需求可能会增加，从而加速该产业的成长。

AI晶片组市场地理展望

  • 北美预计将占据AI晶片组市场的很大份额。

在国防、政府、机器人、自动化和汽车等广泛应用的推动下，北美地区预计将占据重要的市场占有率。美国是主要的区域参与者，核心公司包括IBM公司、英特尔公司和AMD公司。

半导体产业是人工智慧晶片组的主要驱动力，两个产业都在同步成长。 2022年，美国半导体公司占整个半导体市场的48.0%份额。这种成长与北美地区不断扩大的人工智慧晶片组市场一致，该市场依赖人工智慧技术来提高效率和准确性。这种协同效应凸显了人工智慧晶片组的关键作用。

购买本报告的理由：

  • 富有洞察力的分析：获得涵盖关键地区以及新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
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它有什么用？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年的过去资料和预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 细分市场和区域分析，包括按国家/地区分類的收益成长和预测
  • 公司概况（策略、产品、财务状况、主要发展等）

AI晶片组市场分为以下几个部分：

按成分

  • GPU（图形处理单元）
  • FGPA（现场可程式化闸阵列）
  • ASIC（专用积体电路）
  • 其他的

按最终用户

  • 车
  • 消费性电子产品
  • 产业
  • 卫生保健
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 台湾
  • 澳洲
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章人工智慧晶片组市场：依组件分类

  • 介绍
  • GPU（图形处理单元）
  • FPGA（现场可程式化闸阵列）
  • ASIC（专用积体电路）
  • 其他的

第六章 AI 晶片组市场：依最终用户划分

  • 介绍
  • 车
  • 消费性电子产品
  • 产业
  • 卫生保健
  • 其他的

第七章 AI晶片组市场：按地区

  • 介绍
  • 北美洲
    • 按成分
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按成分
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按成分
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按成分
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按成分
    • 按最终用户
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • AMD Inc
  • Graphcore Ltd
  • Huawei Technologies Co Ltd
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Micron Technology Inc
  • Samsung Semiconductor
  • Synopsys, Inc.
  • Qualcomm Technologies, Inc.
  • MediaTek Inc.
  • Cerebras
简介目录
Product Code: KSI061614975

The AI chipsets market is estimated to reach US$159.178 billion by 2029, growing at a CAGR of 25.87% from US$68.194 billion in 2024.

An artificial intelligence chipset is a type of chip specially designed by various computing devices to perform AI-based operations efficiently. Multiple types of AI chipsets exist, including AI-based GPUs, Neural Processing Units (NPUs), and memory chips. The AI chips are designed to integrate greater neural processing efficiency compared to the other types of chips, and they also offer energy efficiencies, ultra-fast computing, and lower latency.

The AI chipsets also include flexibility in their applications, as these chips offer a higher level of customization than the other chips and can also be built for specific AI training models or applications. Their performance is also greater than the other types of chips, as these chips are specifically built with higher levels of computational capacity. These chips offer more efficient and accurate results and can perform core tasks like natural language processing (NLP) and data analysis.

AI chipsets market drivers

  • Increasing focus on creating AI systems

The growing need for high-end specifications for various electronic gadgets, including tablets and smartphones, is increasing the demand for AI chipsets in consumer electronics. Numerous manufacturers are constantly releasing cutting-edge AI chipsets to meet this growing demand.

MediaTek, a Taiwanese chip manufacturer, unveiled the Genio architecture and Genio 1200 chip for artificial intelligence of things (AIoT) devices in May 2022. MediaTek Genio provides a comprehensive platform stack tailored for AIoT, open platform SDKs, and a developer portal equipped with extensive resources and tools.

Furthermore, the rising usage of analytical computations and complex problem-solving using quantum computing technology is also increasing the AI Chipsets market. Google introduced Cloud TPU v5p in December 2023. These TPUs served a considerable time as the backbone for training and deploying AI-driven products such as YouTube, Gmail, Google Maps, Google Play, and Android. The demand for AI chipsets will increase as understanding of quantum computing deepens, accelerating the sector's growth.

AI chipsets market geographical outlook

  • North America is forecasted to hold a major share of the AI Chipsets Market.

The North American region is anticipated to hold a considerable market share fueled by the immense applications of defense, government, robotics, automation, automobiles, etc. The USA is a major regional player, having several core companies, such as IBM Corporation, Intel Corporation, AMD Inc., etc.

The semiconductor sector is the major driving force in AI chipsets; both sectors collaborate in growth. In 2022, U.S.-based semiconductor companies commanded 48.0 percent of the overall semiconductor market share. Such growth aligns with the expanding AI Chipsets market in the North American region, which relies on AI-driven technologies for improved efficiency and precision. This synergy underscores the pivotal role of AI chipsets.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI Chipsets Market is analyzed into the following segments:

By Component

  • GPU (Graphic Processing Unit)
  • FGPA (Field-Programmable Gate Array)
  • ASIC (Application-Specific Integrated Circuit)
  • Others

By End-User

  • Automotives
  • Consumer Electronics
  • Industrial
  • Healthcare
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Australia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI CHIPSETS MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. GPU (Graphic Processing Unit)
  • 5.3. FGPA (Field-Programmable Gate Array)
  • 5.4. ASIC (Application-Specific Integrated Circuit)
  • 5.5. Others

6. AI CHIPSETS MARKET BY END-USER

  • 6.1. Introduction
  • 6.2. Automotives
  • 6.3. Consumer Electronics
  • 6.4. Industrial
  • 6.5. Healthcare
  • 6.6. Others

7. AI CHIPSETS MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Component
    • 7.2.2. By End-User
    • 7.2.3. By Country
      • 7.2.3.1. United States
      • 7.2.3.2. Canada
      • 7.2.3.3. Others
  • 7.3. South America
    • 7.3.1. By Component
    • 7.3.2. By End-User
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Component
    • 7.4.2. By End-User
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
      • 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. Italy
      • 7.4.3.5. Spain
      • 7.4.3.6. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Component
    • 7.5.2. By End-User
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Component
    • 7.6.2. By End-User
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Taiwan
      • 7.6.3.6. Australia
      • 7.6.3.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. AMD Inc
  • 9.2. Graphcore Ltd
  • 9.3. Huawei Technologies Co Ltd
  • 9.4. IBM Corporation
  • 9.5. Intel Corporation
  • 9.6. NVIDIA Corporation
  • 9.7. Micron Technology Inc
  • 9.8. Samsung Semiconductor
  • 9.9. Synopsys, Inc.
  • 9.10. Qualcomm Technologies, Inc.
  • 9.11. MediaTek Inc.
  • 9.12. Cerebras