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市場調查報告書
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1604524

人工智慧 (AI) 處理器市場：2024-2029 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

人工智慧（AI）處理器市場預計將以 17.47% 的複合年成長率成長，從 2024 年的 119.87 億美元成長到 2029 年的 231.81 億美元。

人工智慧處理器是一種專門開發的處理單元，用於各種類型的計算設備，例如智慧型手機和個人電腦。這些處理器利用人工智慧和機器學習功能，幫助提高運算設備的效率。與其他類型的處理器相比，人工智慧處理器具有多種優勢，因為它們提供更快的運算能力和更準確的結果。該處理器還可以實現更低的延遲結果。

各地對智慧城市的投資不斷增加，為人工智慧處理器市場的參與者創造了巨大的機會。此外，多家創業投資支持的人工智慧新興企業的投資增加也對市場成長產生了積極影響。對人工智慧與視訊監控相結合的需求激增，以及政府在即時分析和人工智慧整合網路安全解決方案上的支出增加，將進一步推動預測期內的需求。量子運算的日益崛起也是預測期內人工智慧處理器市場擴張的潛在因素。

全球對基於人工智慧的應用程式的需求不斷成長預計將推動全球人工智慧處理器市場的發展。同樣，印度、中國、英國、日本和美國等多個國家政府在人工智慧技術領域推出的新政策和投資機會也預計將在預測期內推動人工智慧處理器市場的發展。

人工智慧處理器市場促進因素

  • AI應用需求增加

對人工智慧應用不斷成長的需求是影響人工智慧（AI）處理器產業的關鍵因素。人工智慧技術與醫療保健、金融、技術和汽車等多個行業的整合增加了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，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。對於希望利用人工智慧進行影像識別、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至關重要。

人工智慧處理器市場的地域展望

  • 預計北美將佔據人工智慧處理器市場的主要佔有率。

從地理來看，AI處理器市場分為北美、南美、歐洲、中東和非洲（MEA）以及亞太地區（Asia Pacific）。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。新的先進技術的早期採用和主要市場參與者的存在正在支持該地區的市場成長。美國和加拿大等國家加大對人工智慧的投資也推動了該地區的市場擴張。 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也將出現顯著的複合年成長率。韓國、印度和中國等國家的人工智慧技術在汽車和運輸、醫療保健、BFSI 和零售等各個行業的採用日益增多，顯著提高了該地區對這些處理器的需求。增加對 5G 和物聯網技術的投資也推動了該地區的市場成長。

購買本報告的理由：

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業和其他子區隔。
  • 競爭格局：了解世界主要參與者所採取的策略策略，並了解採用正確策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年的過往資料和預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司概況（策略、產品、財務狀況、主要發展等）

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

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
  • 專用積體電路
  • 可程式邏輯
  • 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/通訊
  • 衛生保健
  • 零售
  • 媒體娛樂
  • 其他

第9章人工智慧（AI）處理器市場：按地區

  • 介紹
  • 北美洲
    • 依處理器類型
    • 依技術
    • 按加工類型
    • 按行業分類
    • 按國家/地區
  • 南美洲
    • 依處理器類型
    • 依技術
    • 按加工類型
    • 按行業分類
    • 按國家/地區
  • 歐洲
    • 依處理器類型
    • 依技術
    • 按加工類型
    • 按行業分類
    • 按國家/地區
  • 中東/非洲
    • 依處理器類型
    • 依技術
    • 按加工類型
    • 按行業分類
    • 按國家/地區
  • 亞太地區
    • 依處理器類型
    • 依技術
    • 按加工類型
    • 按行業分類
    • 按國家/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.
  • SAMSUNG
  • Qualcomm Technologies, Inc.
  • Intel Corporation
  • NVIDIA Corporation
  • Advanced Micro Devices, Inc
  • IBM
  • LG Electronics
  • Alphabet（Google）
  • Cerebras Systems
簡介目錄
Product Code: KSI061611701

The artificial intelligence (AI) processor market is estimated to reach US$23.181 billion by 2029, growing at a CAGR of 17.47% from US$11.987 billion in 2024.

An AI processor is a type of specially developed processing unit that is used in various types of computing devices, like smartphones and personal computers. These processors help increase the computing devices' efficiencies, utilizing AI and ML functions. AI processors offer multiple advantages compared to other types of processors, as they offer faster computing capabilities and more accurate results. This processor also enables lower latency results.

Increasing investments in smart cities across various regions provide a great opportunity for artificial intelligence processor market players. Furthermore, growing investments in AI startups backed by multiple venture capitalists are also positively impacting market growth. 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 its demand during the forecast period. The growing emergence of quantum computing is another potential factor for the AI processors market expansion during the forecast period.

The increasing demand for AI-based applications worldwide is expected to propel the global AI processors market. Similarly, the introduction of new policies and investment opportunities in the AI technology sector by the governments of multiple countries, such as India, China, the UK, Japan, and the USA, is also forecasted to boost the AI processor market during the forecasted timeline.

Artificial intelligence processor market drivers

  • Increasing demand for AI applications

The growing need for AI applications is an important factor influencing the artificial intelligence (AI) processor industry. Integrating 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. AI processors that effectively carry out activities linked to machine learning, deep learning, and other AI applications are essential to satisfy these expectations. 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.

Artificial intelligence processor market geographical outlook

  • North America is forecasted to hold a major share of the Artificial Intelligence Processor Market.

Geographically, the 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 support the regional market growth. Increasing investments in artificial intelligence in countries such as the United States and Canada are also driving regional market expansion. 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 market is also projected to witness a substantial CAGR during the forecast period due to the presence 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 these processors. Increasing investments in 5G and IoT technology are also spurring the regional market growth.

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 Artificial Intelligence Processor Market is segmented and analyzed as follows:

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 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. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET BY PROCESSOR TYPE

  • 5.1. Introduction
  • 5.2. GPU
  • 5.3. ASIC
  • 5.4. FPGA
  • 5.5. Others

6. ARTIFICIAL INTELLIGENCE (AI) PROCESSOR MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. System-on-Chip
  • 6.3. Multi-Chip Module
  • 6.4. System-in-Package
  • 6.5. Others

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

  • 7.1. Introduction
  • 7.2. Cloud
  • 7.3. Edge

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

  • 8.1. Introduction
  • 8.2. BFSI
  • 8.3. IT and Telecom
  • 8.4. Healthcare
  • 8.5. Retail
  • 8.6. Media and Entertainment
  • 8.7. Others

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. United States
      • 9.2.5.2. Canada
      • 9.2.5.3. Others
  • 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
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 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
      • 9.4.5.2. France
      • 9.4.5.3. United Kingdom
      • 9.4.5.4. Spain
      • 9.4.5.5. Others
  • 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
      • 9.5.5.2. UAE
      • 9.5.5.3. Israel
      • 9.5.5.4. Others
  • 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
      • 9.6.5.2. Japan
      • 9.6.5.3. South Korea
      • 9.6.5.4. India
      • 9.6.5.5. Thailand
      • 9.6.5.6. Indonesia
      • 9.6.5.7. Taiwan
      • 9.6.5.8. Others

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
  • 11.11. Alphabet (Google)
  • 11.12. Cerebras Systems