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市场调查报告书
商品编码
1456880

人工智慧 (AI) 处理器市场 – 2024 年至 2029 年预测

Artificial Intelligence (AI) Processor Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 152 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

2022年人工智慧（AI）处理器市值为75.09亿美元，复合年增长率为17.47%，到2029年市场规模将达到231.81亿美元。

由于连网型设备的普及和高速互联网连接的增加而增加的资料量是全球人工智慧（AI）处理器市场的关键驱动力。人工智慧处理器用于有效地处理大规模并行处理。

人工智慧 (AI) 处理器融合了 AI 技术并用于机器学习。随着资料量的指数级增长，对更有效率的系统来解决复杂的数学和计算问题的需求不断增加。因此，企业开始专注于开发针对不同产业不同应用的AI处理器。此外，量子运算的日益普及以及蓬勃发展的机器人产业对人工智慧处理器的需求不断增加，预计也将为预测期内的全球人工智慧（AI）处理器市场提供潜在的成长机会。各地区对智慧城市的投资增加也为人工智慧处理器（AI）市场的参与企业提供了重大机会。此外，各种由创业投资支持的人工智慧新兴企业的投资增加也对人工智慧（AI）处理器的市场成长产生了积极影响。对视讯监控中整合的人工智慧的需求激增，以及政府在与人工智慧整合的即时分析和网路安全解决方案上的支出增加，将进一步推动预测期内人工智慧的全球市场成长。量子运算的日益兴起也是预测期内人工智慧（AI）市场成长的潜在因素。

市场驱动因素：

  • AI应用需求增加

影响人工智慧（AI）处理器产业的关键因素之一是对人工智慧应用的需求不断增长。人工智慧技术在医疗保健、金融、技术和汽车领域等多个行业的整合正在推动对能够管理人工智慧工作负载复杂处理需求的专用硬体的需求。为了满足这些期望，能够有效执行与机器学习、深度学习和其他人工智慧应用相关的活动的人工智慧处理器至关重要。对于希望将人工智慧用于影像识别、自然语言处理和资料分析等活动的公司来说，专用人工智慧处理器提供的速度和效率变得至关重要。

  • 主要市场参与企业的成长策略。

各公司正采取收购、联盟、合作和产品推出等各种成长策略，以加强其人工智慧处理器产品系列，同时增加其市场占有率，从而对人工智慧（AI）处理器的全球市场成长产生积极影响。例如，2022年5月，英特尔公司宣布推出AI Gaudi2晶片、第四代至强可扩充处理器、与Accenture合作的Project Apollo AI计画、延长至2026年的新IPU蓝图、新的GPU解决方案，以及推出新的第12代酷睿HX处理器。预计各行业人工智慧的进步将在预测期内推动对人工智慧（AI）处理器的需求。例如，特斯拉创办人马斯克推出了Neuralink，这是一家利用人工智慧开发将大脑与电脑介面连接起来的植入的科技Start-Ups。 AI处理器製造商也致力于产品推出、投资、联盟和合作等成长策略，以满足新兴需求并扩大全球市场占有率，这也将推动人工智慧（AI）处理器市场的成长。

北美人工智慧（AI）处理器市场预计将大幅成长。

从地区来看，人工智慧（AI）处理器市场分为北美、南美、欧洲、中东和非洲以及亚太地区。北美在 2020 年占据了主要市场占有率，预计在预测期内将保持其地位。新尖端技术的早期引入以及该地区主要市场参与企业的存在正在支持该地区市场的成长。美国和加拿大等国家对人工智慧（AI）投资的增加也推动了该区域市场的成长。 2020年2月，总部位于加州的新兴企业Pony.ai获得4.62亿美元融资，其中丰田为自动驾驶提供了4亿美元资金。

由于三星和华为等主要人工智慧处理器製造商的存在，预计亚太市场在预测期内将出现显着的复合年增长率。在韩国、印度和中国等国家，汽车、交通、医疗保健、BFSI 和零售等行业越来越多地采用人工智慧技术，这显着增加了该地区对人工智慧 (AI) 处理器的需求。对5G和物联网技术的投资不断增加也推动了该地区人工智慧处理器市场的成长。

主要进展：

  • 2023 年 12 月，英特尔在纽约举行的 AI Everywhere 会议上推出了无与伦比的 AI 技术，使客户能够跨资料中心、云端、网路、边缘和 PC 提供 AI 解决方案。
  • 2021 年 12 月，Fraunhofer IPMS 和 CAST 发布了一款用于边缘 AI 的 RISC-V 嵌入式处理器。 EMSA5-FS 处理器核心支援执行向量指令，从而实现资料集的平行处理，从而提高效能和能源效率。

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
  • CXO观点

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（AI）处理器市场：按处理器类型

  • 介绍
  • 图形处理器
  • ASIC
  • FPGA
  • 其他的

第六章 人工智慧 (AI) 处理器市场：依技术分类

  • 介绍
  • 系统晶片
  • 多晶片模组
  • 系统级封装
  • 其他的

第七章人工智慧（AI）处理器市场：按处理类型

  • 介绍
  • 云
  • 边缘

第八章人工智慧（AI）处理器市场：按行业分类

  • 介绍
  • BFSI
  • 资讯科技和通讯
  • 医疗保健
  • 零售
  • 媒体和娱乐
  • 其他的

第九章人工智慧（AI）处理器市场：按地区

  • 介绍
  • 北美洲
  • 南美洲
  • 欧洲
  • 中东/非洲
  • 亚太地区

第十章竞争环境及分析

  • 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

第十一章 公司简介

  • Apple Inc.
  • Huawei Technologies Co., Ltd.
  • MediaTek Inc.
  • 南美洲宋
  • Qualcomm Technologies, Inc.
  • Intel Corporation
  • NVIDIA Corporation
  • Advanced Micro Devices, Inc
  • IBM
  • LG Electronics
简介目录
Product Code: KSI061611701

The artificial intelligence (AI) processor market is evaluated at US$7.509 billion for the year 2022 growing at a CAGR of 17.47% reaching the market size of US$23.181 billion by the year 2029.

Growing data volume as a result of connected device proliferation and increased high-speed internet connectivity is a key driving factor for the global artificial intelligence (AI) processor market. AI processors are used to efficiently handle large and parallel operations.

Artificial intelligence (AI) processors incorporate AI technology and are used for machine learning. With the burgeoning volume of data, there is a constantly growing need for more efficient systems to solve complex mathematical and computational problems. As such, companies have started focusing on developing AI processors for various applications across different industries. Furthermore, the emerging popularity of quantum computing and increasing demand for AI processors in the booming robotics industry are also anticipated to provide potential growth opportunities for the global artificial intelligence (AI) processor market during the forecast period. An increase in investments in smart cities across various regions also provides a great opportunity for artificial intelligence processor (AI) market players. Furthermore, growing investments in AI startups, backed by various venture capitalists, are thus positively impacting the market growth of artificial intelligence (AI) processors. A surge in demand for AI to be integrated into video surveillance and a rise in government spending for cybersecurity solutions integrated with real-time analytics and AI will further drive the global market growth of artificial intelligence during the forecast period. The growing emergence of quantum computing is another potential factor for the growth of the artificial intelligence (AI) market during the forecast period.

MARKET DRIVERS:

  • Increasing demand for AI applications.

One important factor influencing the artificial intelligence (AI) processor industry is the growing need for AI applications. The integration of AI technologies into several industries, including healthcare, finance, technology, and the automotive sector, has led to an increasing demand for specialized hardware that can manage the intricate processing demands of AI workloads. To satisfy these expectations, AI processors which are made to effectively carry out activities linked to machine learning, deep learning, and other AI applications-are essential. With companies looking to use AI for activities like image recognition, natural language processing, and data analysis, the speed and efficiency provided by specialized AI processors become critical.

  • Growth strategies of key market players.

Companies are adopting various growth strategies such as acquisitions, partnerships, collaborations, and product launches to strengthen their AI processor product portfolio while expanding their market share, thus positively impacting the market growth of artificial intelligence (AI) processors worldwide. For instance, in May 2022, Intel Corp. introduced its AI Gaudi2 chip, 4th generation Xeon Scalable processors, Project Apollo AI program with Accenture, a new IPU roadmap extending through 2026, a new GPU Solution, and new 12th Gen Core HX processors for laptops. AI advancements in various industries is anticipateds to drive demand for artificial intelligence (AI) processors during the forecast period. Elon Musk, the founder of Tesla, for example, launched the tech startup Neuralink to develop implants that use AI to connect brains with computer interfaces. AI processor manufacturers are also engaged in growth strategies including product launches, investments, partnerships, and collaborations to meet the emerging demand and expand their global market share, which will also fuel the growth of the artificial intelligence (AI) processor market.

The North American artificial intelligence (AI) processor market is anticipated to grow significantly.

Geographically, the Artificial Intelligence (AI) processor market is segmented into North America, South America, Europe, the Middle East, Africa (MEA), and Asia Pacific (APAC). North America accounted for the major market share in 2020 and is anticipated to remain in its position during the forecast period. Early adoption of new advanced technologies and the presence of major market players in the region support the growth of this regional market. Increasing investments in artificial intelligence (AI) in countries such as the United States and Canada are also driving the growth of this regional market. In February 2020, California-based startup Pony.ai received funding of $462 million, out of which $400 million came from Toyota for autonomous driving.

The APAC regional market is projected to witness a substantial CAGR during the forecast period on account of major AI processor makers such as Samsung and Huawei in the region. Growing adoption of AI technology across various industry verticals such as automotive and transportation, healthcare, BFSI, and retail in countries such as South Korea, India, and China is significantly augmenting regional demand for artificial intelligence (AI)processors. Increasing investments in 5G and IoT technology are also spurring the market growth of AI processors in this region.

Key Developments:

  • In December 2023, Intel unveiled an unparalleled array of AI technologies at its "AI Everywhere" launch in New York City, enabling customers' AI solutions across the data center, cloud, network, edge, and PC.
  • Fraunhofer IPMS and CAST announced a RISC-V Embedded Processor for Edge AI in December 2021. A new RISC-V processor option that can perform artificial intelligence (AI) and machine learning (ML) functions in standalone devices. The EMSA5-FS Processor core supports the execution of vector instructions, which enable parallel processing of datasets and, as a result, can improve performance and energy efficiency.

Segmentation:

By Processor Type

  • GPU
  • ASIC
  • FPGA
  • Others

By Technology

  • System-on-Chip
  • Multi-Chip Module
  • System-in-Package
  • Others

By Processing Type

  • Cloud
  • Edge

By Industry Vertical

  • BFSI
  • IT and Telecom
  • Healthcare
  • Retail
  • Media and Entertainment
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Thailand
  • Indonesia
  • Taiwan
  • 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 to the stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

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. 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. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET, BY PROCESSOR TYPE

  • 5.1. Introduction
  • 5.2. GPU
    • 5.2.1. Market Trends and Opportunities
    • 5.2.2. Growth Prospects
    • 5.2.3. Geographic Lucrativeness
  • 5.3. ASIC
    • 5.3.1. Market Trends and Opportunities
    • 5.3.2. Growth Prospects
    • 5.3.3. Geographic Lucrativeness
  • 5.4. FPGA
    • 5.4.1. Market Trends and Opportunities
    • 5.4.2. Growth Prospects
    • 5.4.3. Geographic Lucrativeness
  • 5.5. Others
    • 5.5.1. Market Trends and Opportunities
    • 5.5.2. Growth Prospects
    • 5.5.3. Geographic Lucrativeness

6. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET, BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. System-on-Chip
    • 6.2.1. Market Trends and Opportunities
    • 6.2.2. Growth Prospects
    • 6.2.3. Geographic Lucrativeness
  • 6.3. Multi-Chip Module
    • 6.3.1. Market Trends and Opportunities
    • 6.3.2. Growth Prospects
    • 6.3.3. Geographic Lucrativeness
  • 6.4. System-in-Package
    • 6.4.1. Market Trends and Opportunities
    • 6.4.2. Growth Prospects
    • 6.4.3. Geographic Lucrativeness
  • 6.5. Others
    • 6.5.1. Market Trends and Opportunities
    • 6.5.2. Growth Prospects
    • 6.5.3. Geographic Lucrativeness

7. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET, BY PROCESSING TYPE

  • 7.1. Introduction
  • 7.2. Cloud
    • 7.2.1. Market Trends and Opportunities
    • 7.2.2. Growth Prospects
    • 7.2.3. Geographic Lucrativeness
  • 7.3. Edge
    • 7.3.1. Market Trends and Opportunities
    • 7.3.2. Growth Prospects
    • 7.3.3. Geographic Lucrativeness

8. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET, BY INDUSTRY VERTICAL

  • 8.1. Introduction
  • 8.2. BFSI
    • 8.2.1. Market Trends and Opportunities
    • 8.2.2. Growth Prospects
    • 8.2.3. Geographic Lucrativeness
  • 8.3. IT and Telecom
    • 8.3.1. Market Trends and Opportunities
    • 8.3.2. Growth Prospects
    • 8.3.3. Geographic Lucrativeness
  • 8.4. Healthcare
    • 8.4.1. Market Trends and Opportunities
    • 8.4.2. Growth Prospects
    • 8.4.3. Geographic Lucrativeness
  • 8.5. Retail
    • 8.5.1. Market Trends and Opportunities
    • 8.5.2. Growth Prospects
    • 8.5.3. Geographic Lucrativeness
  • 8.6. Media and Entertainment
    • 8.6.1. Market Trends and Opportunities
    • 8.6.2. Growth Prospects
    • 8.6.3. Geographic Lucrativeness
  • 8.7. Others
    • 8.7.1. Market Trends and Opportunities
    • 8.7.2. Growth Prospects
    • 8.7.3. Geographic Lucrativeness

9. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Processor Type
    • 9.2.2. By Technology
    • 9.2.3. By Processing Type
    • 9.2.4. By Industry Vertical
    • 9.2.5. By Country
      • 9.2.5.1. USA
        • 9.2.5.1.1. Market Trends and Opportunities
        • 9.2.5.1.2. Growth Prospects
      • 9.2.5.2. Canada
        • 9.2.5.2.1. Market Trends and Opportunities
        • 9.2.5.2.2. Growth Prospects
      • 9.2.5.3. Mexico
        • 9.2.5.3.1. Market Trends and Opportunities
        • 9.2.5.3.2. Growth Prospects
  • 9.3. South America
    • 9.3.1. By Processor Type
    • 9.3.2. By Technology
    • 9.3.3. By Processing Type
    • 9.3.4. By Industry Vertical
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
        • 9.3.5.1.1. Market Trends and Opportunities
        • 9.3.5.1.2. Growth Prospects
      • 9.3.5.2. Argentina
        • 9.3.5.2.1. Market Trends and Opportunities
        • 9.3.5.2.2. Growth Prospects
      • 9.3.5.3. Others
        • 9.3.5.3.1. Market Trends and Opportunities
        • 9.3.5.3.2. Growth Prospects
  • 9.4. Europe
    • 9.4.1. By Processor Type
    • 9.4.2. By Technology
    • 9.4.3. By Processing Type
    • 9.4.4. By Industry Vertical
    • 9.4.5. By Country
      • 9.4.5.1. Germany
        • 9.4.5.1.1. Market Trends and Opportunities
        • 9.4.5.1.2. Growth Prospects
      • 9.4.5.2. France
        • 9.4.5.2.1. Market Trends and Opportunities
        • 9.4.5.2.2. Growth Prospects
      • 9.4.5.3. United Kingdom
        • 9.4.5.3.1. Market Trends and Opportunities
        • 9.4.5.3.2. Growth Prospects
      • 9.4.5.4. Spain
        • 9.4.5.4.1. Market Trends and Opportunities
        • 9.4.5.4.2. Growth Prospects
      • 9.4.5.5. Others
        • 9.4.5.5.1. Market Trends and Opportunities
        • 9.4.5.5.2. Growth Prospects
  • 9.5. Middle East and Africa
    • 9.5.1. By Processor Type
    • 9.5.2. By Technology
    • 9.5.3. By Processing Type
    • 9.5.4. By Industry Vertical
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
        • 9.5.5.1.1. Market Trends and Opportunities
        • 9.5.5.1.2. Growth Prospects
      • 9.5.5.2. UAE
        • 9.5.5.2.1. Market Trends and Opportunities
        • 9.5.5.2.2. Growth Prospects
      • 9.5.5.3. Israel
        • 9.5.5.3.1. Market Trends and Opportunities
        • 9.5.5.3.2. Growth Prospects
      • 9.5.5.4. Others
        • 9.5.5.4.1. Market Trends and Opportunities
        • 9.5.5.4.2. Growth Prospects
  • 9.6. Asia Pacific
    • 9.6.1. By Processor Type
    • 9.6.2. By Technology
    • 9.6.3. By Processing Type
    • 9.6.4. By Industry Vertical
    • 9.6.5. By Country
      • 9.6.5.1. China
        • 9.6.5.1.1. Market Trends and Opportunities
        • 9.6.5.1.2. Growth Prospects
      • 9.6.5.2. Japan
        • 9.6.5.2.1. Market Trends and Opportunities
        • 9.6.5.2.2. Growth Prospects
      • 9.6.5.3. South Korea
        • 9.6.5.3.1. Market Trends and Opportunities
        • 9.6.5.3.2. Growth Prospects
      • 9.6.5.4. India
        • 9.6.5.4.1. Market Trends and Opportunities
        • 9.6.5.4.2. Growth Prospects
      • 9.6.5.5. Thailand
        • 9.6.5.5.1. Market Trends and Opportunities
        • 9.6.5.5.2. Growth Prospects
      • 9.6.5.6. Indonesia
        • 9.6.5.6.1. Market Trends and Opportunities
        • 9.6.5.6.2. Growth Prospects
      • 9.6.5.7. Taiwan
        • 9.6.5.7.1. Market Trends and Opportunities
        • 9.6.5.7.2. Growth Prospects
      • 9.6.5.8. Others
        • 9.6.5.8.1. Market Trends and Opportunities
        • 9.6.5.8.2. Growth Prospects

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Apple Inc.
  • 11.2. Huawei Technologies Co., Ltd.
  • 11.3. MediaTek Inc.
  • 11.4. SAMSUNG
  • 11.5. Qualcomm Technologies, Inc.
  • 11.6. Intel Corporation
  • 11.7. NVIDIA Corporation
  • 11.8. Advanced Micro Devices, Inc
  • 11.9. IBM
  • 11.10. LG Electronics