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市場調查報告書
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1456880

人工智慧 (AI) 處理器市場 – 2024 年至 2029 年預測

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個工作天內

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簡介目錄

2022年人工智慧（AI）處理器市值為75.09億美元，複合年成長率為17.47%，到2029年市場規模將達到231.81億美元。

由於連網型設備的普及和高速網際網路連接的增加而增加的資料量是全球人工智慧（AI）處理器市場的關鍵驅動力。人工智慧處理器用於有效地處理大規模並行處理。

人工智慧 (AI) 處理器融合了 AI 技術並用於機器學習。隨著資料量的指數級成長，對更有效率的系統來解決複雜的數學和計算問題的需求不斷增加。因此，企業開始專注於開發針對不同產業不同應用的AI處理器。此外，量子運算的日益普及以及蓬勃發展的機器人產業對人工智慧處理器的需求不斷增加，預計也將為預測期內的全球人工智慧（AI）處理器市場提供潛在的成長機會。各地區對智慧城市的投資增加也為人工智慧處理器（AI）市場的參與企業提供了重大機會。此外，各種由創業投資支持的人工智慧新興企業的投資增加也對人工智慧（AI）處理器的市場成長產生了積極影響。對視訊監控中整合的人工智慧的需求激增，以及政府在與人工智慧整合的即時分析和網路安全解決方案上的支出增加，將進一步推動預測期內人工智慧的全球市場成長。量子運算的日益興起也是預測期內人工智慧（AI）市場成長的潛在因素。

市場促進因素：

  • AI應用需求增加

影響人工智慧（AI）處理器產業的關鍵因素之一是對人工智慧應用的需求不斷成長。人工智慧技術在醫療保健、金融、技術和汽車領域等多個行業的整合正在推動對能夠管理人工智慧工作負載複雜處理需求的專用硬體的需求。為了滿足這些期望，能夠有效執行與機器學習、深度學習和其他人工智慧應用相關的活動的人工智慧處理器至關重要。對於希望將人工智慧用於影像識別、自然語言處理和資料分析等活動的公司來說，專用人工智慧處理器提供的速度和效率變得至關重要。

  • 主要市場參與企業的成長策略。

各公司正採取收購、聯盟、合作和產品推出等各種成長策略，以加強其人工智慧處理器產品系列，同時增加其市場佔有率，從而對人工智慧（AI）處理器的全球市場成長產生積極影響。例如，2022年5月，英特爾公司宣布推出AI Gaudi2晶片、第四代至強可擴充處理器、與Accenture合作的Project Apollo AI計畫、延長至2026年的新IPU藍圖、新的GPU解決方案，以及推出新的第12代酷睿HX處理器。預計各行業人工智慧的進步將在預測期內推動對人工智慧（AI）處理器的需求。例如，特斯拉創辦人馬斯克推出了Neuralink，這是一家利用人工智慧開發將大腦與電腦介面連接起來的植入的科技Start-Ups。 AI處理器製造商也致力於產品推出、投資、聯盟和合作等成長策略，以滿足新興需求並擴大全球市場佔有率，這也將推動人工智慧（AI）處理器市場的成長。

北美人工智慧（AI）處理器市場預計將大幅成長。

從地區來看，人工智慧（AI）處理器市場分為北美、南美、歐洲、中東和非洲以及亞太地區。北美在 2020 年佔據了主要市場佔有率，預計在預測期內將保持其地位。新尖端技術的早期引入以及該地區主要市場參與企業的存在正在支持該地區市場的成長。美國和加拿大等國家對人工智慧（AI）投資的增加也推動了該區域市場的成長。 2020年2月，總部位於加州的新興企業Pony.ai獲得4.62億美元融資，其中豐田為自動駕駛提供了4億美元資金。

由於三星和華為等主要人工智慧處理器製造商的存在，預計亞太市場在預測期內將出現顯著的複合年成長率。在韓國、印度和中國等國家，汽車、交通、醫療保健、BFSI 和零售等行業擴大採用人工智慧技術，這顯著增加了該地區對人工智慧 (AI) 處理器的需求。對5G和物聯網技術的投資不斷增加也推動了該地區人工智慧處理器市場的成長。

主要進展：

  • 2023 年 12 月，英特爾在紐約舉行的 AI Everywhere 會議上推出了無與倫比的 AI 技術，使客戶能夠跨資料中心、雲端、網路、邊緣和 PC 提供 AI 解決方案。
  • 2021 年 12 月，Fraunhofer IPMS 和 CAST 發布了一款用於邊緣 AI 的 RISC-V 嵌入式處理器。 EMSA5-FS 處理器核心支援執行向量指令，從而實現資料集的平行處理，從而提高效能和能源效率。

目錄

第1章 簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章人工智慧（AI）處理器市場：按處理器類型

  • 介紹
  • 圖形處理器
  • ASIC
  • FPGA
  • 其他

第6章 人工智慧 (AI) 處理器市場：依技術分類

  • 介紹
  • 系統晶片
  • 多晶片模組
  • 系統級封裝
  • 其他

第7章人工智慧（AI）處理器市場：按處理類型

  • 介紹
  • 雲
  • 邊緣

第8章人工智慧（AI）處理器市場：按行業分類

  • 介紹
  • BFSI
  • 資訊科技和通訊
  • 醫療保健
  • 零售
  • 媒體和娛樂
  • 其他

第9章人工智慧（AI）處理器市場：按地區

  • 介紹
  • 北美洲
  • 南美洲
  • 歐洲
  • 中東/非洲
  • 亞太地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第11章 公司簡介

  • 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
簡介目錄
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