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市場調查報告書
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1752115

AI PC市場市場 (～2035年):產品類型·OS類型·運算類型·架構·各地區的分佈·產業趨勢·全球預測

AI PC Market, till 2035: Distribution by Type of Product, Type of Operating System, Type of Compute, Type of Architecture and Geographical Regions: Industry Trends and Global Forecasts
出版日期: | 出版商: Roots Analysis | 英文 212 Pages | 商品交期: 2-10個工作天內

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簡介目錄

預計到 2035 年，全球 AI PC 市場規模將從目前的 610 億美元增長至 9,920 億美元，預測期內複合年增長率為 32.16%。

AI PC Market-IMG1

AI PC的市場機會:各市場區隔

各產品類型

  • 桌上型電腦(桌面)及筆記型電腦
  • 工作站

各作業系統

  • Chrome
  • MacOS
  • Windows

按運算類型

  • GPU
  • NPU 40 不滿TOPS
  • NPU 40-60 TOPS

按架構

  • ARM
  • X86

各地區

  • 北美
  • 美國
  • 加拿大
  • 墨西哥
  • 其他的北美各國
  • 歐洲
  • 奧地利
  • 比利時
  • 丹麥
  • 法國
  • 德國
  • 愛爾蘭
  • 義大利
  • 荷蘭
  • 挪威
  • 俄羅斯
  • 西班牙
  • 瑞典
  • 瑞士
  • 英國
  • 其他歐洲各國
  • 亞洲
  • 中國
  • 印度
  • 日本
  • 新加坡
  • 韓國
  • 其他亞洲各國
  • 南美
  • 巴西
  • 智利
  • 哥倫比亞
  • 委內瑞拉
  • 其他的南美各國
  • 中東·北非
  • 埃及
  • 伊朗
  • 伊拉克
  • 以色列
  • 科威特
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 其他的MENA各國
  • 全球其他地區
  • 澳洲
  • 紐西蘭
  • 其他的國家

人工智慧PC市場：成長與趨勢

根據 "富比士" 報道，64%的企業認為人工智慧將提高其生產力。在此背景下，人工智慧PC正以其效率和創新塑造運算的未來。人工智慧PC配備了神經處理單元 (NPU)，可以使用複雜的演算法執行人工智慧任務。這項技術是企業人工智慧解決方案的核心，用於即時數據分析和生產力提升。此外，支援人工智慧的PC還配備了各種高級功能，例如自然語言處理、影像辨識和預測分析。

值得注意的是，人工智慧因其在工業自動化和業務效率方面的優勢，正在被各大行業廣泛採用。此外，人工智慧PC市場也因其強大的性能和對各種複雜軟體的支援而備受關注。人工智慧和機器學習應用程式的平穩運行也對該行業的成長起著關鍵作用。

自然語言處理 (NLP) 和機器學習在充分發揮這些設備的潛力方面發揮著重要作用。此外，可靠性、效率和可擴展性的提升正在推動資料密集型運算設備市場的成長，這也有助於優化功耗並提高響應速度。

此外，先進GPU和NPU的不斷發展也有助於擴大下一代筆記型電腦市場。具有AI功能的遊戲PC市場以及家電產業的趨勢也是推動該產業發展的主要因素。

本報告提供全球AI PC的市場調查，彙整市場概要，背景，市場影響因素的分析，市場規模的轉變·預測，各種區分·各地區的詳細分析，競爭情形，主要企業簡介等資訊。

目錄

章節I:報告概要

第1章 序文

第2章 調查手法

第3章 市場動態

第4章 宏觀經濟指標

章節II:定性的洞察

第5章 摘要整理

第6章 簡介

第7章 法規Scenario

章節III:市場概要

第8章 主要企業整體性資料庫

第9章 競爭情形

第10章 閒置頻段分析

第11章 企業競爭力分析

第12章 AI PC市場上Start-Ups生態系統

章節IV:企業簡介

第13章 企業簡介

  • 章概要
  • Acer
  • Advanced Micro Devices
  • Apple
  • ASUSTeK
  • Dell
  • Fujitu
  • HP
  • Huawei
  • Intel
  • Lambda
  • Lenovo
  • Microsoft
  • Nvidia
  • Super Micro Computer

章節V:市場趨勢

第14章 大趨勢分析

第15章 未滿足需求分析

第16章 專利分析

第17章 最近的趨勢

章節VI:市場機會分析

第18章 全球AI PC市場

第19章 各產品類型的市場機會

第20章 各作業系統的市場機會

第21章 運算類型的市場機會

第22章 架構的市場機會

第23章 北美AI PC的市場機會

第24章 歐洲的AI PC的市場機會

第25章 亞洲的AI PC的市場機會

第26章 中東與北非的AI PC的市場機會

第27章 南美的AI PC的市場機會

第28章 全球其他地區的AI PC的市場機會

第29章 市場集中分析:各主要企業分佈

第30章 鄰近市場分析

章節VII:策略工具

第31章 變成勝利的關鍵的策略

第32章 波特的五力分析

第33章 SWOT分析

第34章 價值鏈分析

第35章 始祖策略建議

章節VIII:其他的壟斷的洞察

第36章 來自1次調查的洞察

第37章 總論

章節IX:附錄

第38章 表格形式資料

第39章 企業·團體一覽

第40章 客制化的機會

第41章 ROOTS 訂閱服務

第42章 作者詳情

簡介目錄
Product Code: RASCE400305

AI PC Market Overview

As per Roots Analysis, the global AI PC market size is estimated to grow from USD 61 billion in the current year to USD 992 billion by 2035, at a CAGR of 32.16% during the forecast period, till 2035.

AI PC Market - IMG1

The opportunity for AI PC market has been distributed across the following segments:

Type of Product

  • Desktops and Notebooks
  • Workstations

Type of Operating System

  • Chrome
  • MacOS
  • Windows

Type of Compute

  • GPU
  • NPU <40 TOPS
  • NPU 40-60 TOPS

Type of Architecture

  • ARM
  • X86

Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Other North American countries
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Other European countries
  • Asia
  • China
  • India
  • Japan
  • Singapore
  • South Korea
  • Other Asian countries
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Other Latin American countries
  • Middle East and North Africa
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Other MENA countries
  • Rest of the World
  • Australia
  • New Zealand
  • Other countries

AI PC MARKET: GROWTH AND TRENDS

According to Forbes, 64% of companies believe that artificial intelligence (AI) will boost their productivity. In this context, AI PCs are shaping the future of computing through their efficiency and innovation. AI PCs incorporate neural processing units (NPUs) that are designed to execute complex algorithmic AI tasks. It is important to note that real-time data analysis and productivity-enhancing technologies have defined enterprise AI solutions. Moreover, AI-enabled PCs come with a variety of advanced features such as natural language processing, image recognition, and predictive analytics.

It is important to note that the adoption of AI across major industries is increasing due to its benefits in industrial automation and operational efficiency. Additionally, the AI PC market is gaining traction owing to its strong performance capabilities and support for a wide array of complex software. Further, the seamless operation of AI and machine learning applications has been crucial for the growth of this sector.

Natural language processing and machine learning have played a significant role in unlocking these devices' full potential. Additionally, improved reliability, efficiency, and scalability have spurred growth in the data-intensive computing device market, optimizing power use and promoting faster responses.

In addition, advanced GPUs and NPUs are continually propelling the market for next-generation laptops. The gaming PC market with AI capabilities and trends in consumer electronics are among the primary factors driving the industry. Driven by the aforementioned benefits, the AI PC market is anticipated to witness significant growth during the forecast period.

AI PC MARKET: KEY SEGMENTS

Market Share by Type of Product

Based on type of product, the global AI PC market is segmented into desktops and notebooks, and workstations. According to our estimates, currently, desktop and notebook segment captures the majority of the market; moreover, this segment is anticipated to grow at a significantly higher CAGR during the forecast period. This can be attributed to their extensive usage and their ability to deliver the dependable hardware required for complex AI algorithms and tasks.

Market Share by Type of Operating System

Based on type of operating system, the AI PC market is segmented into chrome, MacOS and windows. According to our estimates, currently, windows segment captures the majority of the market. Additionally, this segment is anticipated to experience a relatively higher compound annual growth rate (CAGR) during the forecast period.

This growth can be attributed to its capability to satisfy high-performance demands, as well as offering scalability, flexibility, and cost-effectiveness. Moreover, Windows has already secured a substantial presence in the market due to its quality and continuous upgrades.

Market Share by Type of Compute

Based on type of compute, the AI PC market is segmented into GPU, NPU <40 TOPS and NPU 40-46 TOPS. According to our estimates, currently, NPU 40-60 TOPS segment captures the majority share of the market. Additionally, this segment is expected to experience a comparatively high compound annual growth rate (CAGR) during the forecast period. This growth can be attributed to its effectiveness in processing real-time data and making decisions, which makes it suitable for applications in automotive, healthcare, and smart factories.

Market Share by Type of Architecture

Based on type of architecture, the AI PC market is segmented into ARM and X86. According to our estimates, currently, X86 segment captures the majority share of the market. Additionally, this segment is expected to experience a comparatively high compound annual growth rate (CAGR) during the forecast period. This can be attributed to its strong performance capabilities and improved software compatibility. Additionally, the integration of AI and machine learning has enabled the architecture to handle intensive computational tasks.

Market Share by Geographical Regions

Based on geographical regions, the AI PC market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, Asia captures the majority share of the market. This can be attributed to the established technology firms like Asus and Acer, which are significantly contributing to market growth through innovation and competition. It is important to note that considerable investments in research and development for AI-driven computing are supporting this expansion.

However, the market in North America is expected to experience a higher compound annual growth rate (CAGR) during the forecast period, driven by an increasing demand for consumer electronics and a growing integration of AI in sectors such as healthcare, automotive, and smart cities in developed nations like the US and Canada.

Example Players in AI PC Market

  • Acer
  • Advanced Micro Devices
  • Apple
  • ASUSTeK
  • Dell
  • Fujitu
  • HP
  • Huawei
  • Intel
  • Lambda
  • Lenovo
  • Microsoft
  • NVIDIA
  • Super Micro Computer

AI PC MARKET: RESEARCH COVERAGE

The report on the AI PC market features insights on various sections, including:

  • Market Sizing and Opportunity Analysis: An in-depth analysis of the AI PC market, focusing on key market segments, including [A] type of product, [B] type of operating system, [C] type of compute, [D] type of architecture and [E] geographical regions.
  • Competitive Landscape: A comprehensive analysis of the companies engaged in the AI PC market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
  • Company Profiles: Elaborate profiles of prominent players engaged in the AI PC market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] service / product portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
  • Megatrends: An evaluation of ongoing megatrends in the AI PC industry.
  • Patent Analysis: An insightful analysis of patents filed / granted in the AI PC domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
  • Recent Developments: An overview of the recent developments made in the AI PC market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
  • Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the AI PC market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
  • SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.

KEY QUESTIONS ANSWERED IN THIS REPORT

  • How many companies are currently engaged in AI PC market?
  • Which are the leading companies in this market?
  • What factors are likely to influence the evolution of this market?
  • What is the current and future market size?
  • What is the CAGR of this market?
  • How is the current and future market opportunity likely to be distributed across key market segments?

REASONS TO BUY THIS REPORT

  • The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
  • Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
  • The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

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TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

  • 1.1. Introduction
  • 1.2. Market Share Insights
  • 1.3. Key Market Insights
  • 1.4. Report Coverage
  • 1.5. Key Questions Answered
  • 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

  • 2.1. Chapter Overview
  • 2.2. Research Assumptions
  • 2.3. Database Building
    • 2.3.1. Data Collection
    • 2.3.2. Data Validation
    • 2.3.3. Data Analysis
  • 2.4. Project Methodology
    • 2.4.1. Secondary Research
      • 2.4.1.1. Annual Reports
      • 2.4.1.2. Academic Research Papers
      • 2.4.1.3. Company Websites
      • 2.4.1.4. Investor Presentations
      • 2.4.1.5. Regulatory Filings
      • 2.4.1.6. White Papers
      • 2.4.1.7. Industry Publications
      • 2.4.1.8. Conferences and Seminars
      • 2.4.1.9. Government Portals
      • 2.4.1.10. Media and Press Releases
      • 2.4.1.11. Newsletters
      • 2.4.1.12. Industry Databases
      • 2.4.1.13. Roots Proprietary Databases
      • 2.4.1.14. Paid Databases and Sources
      • 2.4.1.15. Social Media Portals
      • 2.4.1.16. Other Secondary Sources
    • 2.4.2. Primary Research
      • 2.4.2.1. Introduction
      • 2.4.2.2. Types
        • 2.4.2.2.1. Qualitative
        • 2.4.2.2.2. Quantitative
      • 2.4.2.3. Advantages
      • 2.4.2.4. Techniques
        • 2.4.2.4.1. Interviews
        • 2.4.2.4.2. Surveys
        • 2.4.2.4.3. Focus Groups
        • 2.4.2.4.4. Observational Research
        • 2.4.2.4.5. Social Media Interactions
      • 2.4.2.5. Stakeholders
        • 2.4.2.5.1. Company Executives (CXOs)
        • 2.4.2.5.2. Board of Directors
        • 2.4.2.5.3. Company Presidents and Vice Presidents
        • 2.4.2.5.4. Key Opinion Leaders
        • 2.4.2.5.5. Research and Development Heads
        • 2.4.2.5.6. Technical Experts
        • 2.4.2.5.7. Subject Matter Experts
        • 2.4.2.5.8. Scientists
        • 2.4.2.5.9. Doctors and Other Healthcare Providers
      • 2.4.2.6. Ethics and Integrity
        • 2.4.2.6.1. Research Ethics
        • 2.4.2.6.2. Data Integrity
    • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

  • 3.1. Forecast Methodology
    • 3.1.1. Top-Down Approach
    • 3.1.2. Bottom-Up Approach
    • 3.1.3. Hybrid Approach
  • 3.2. Market Assessment Framework
    • 3.2.1. Total Addressable Market (TAM)
    • 3.2.2. Serviceable Addressable Market (SAM)
    • 3.2.3. Serviceable Obtainable Market (SOM)
    • 3.2.4. Currently Acquired Market (CAM)
  • 3.3. Forecasting Tools and Techniques
    • 3.3.1. Qualitative Forecasting
    • 3.3.2. Correlation
    • 3.3.3. Regression
    • 3.3.4. Time Series Analysis
    • 3.3.5. Extrapolation
    • 3.3.6. Convergence
    • 3.3.7. Forecast Error Analysis
    • 3.3.8. Data Visualization
    • 3.3.9. Scenario Planning
    • 3.3.10. Sensitivity Analysis
  • 3.4. Key Considerations
    • 3.4.1. Demographics
    • 3.4.2. Market Access
    • 3.4.3. Reimbursement Scenarios
    • 3.4.4. Industry Consolidation
  • 3.5. Robust Quality Control
  • 3.6. Key Market Segmentations
  • 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

  • 4.1. Chapter Overview
  • 4.2. Market Dynamics
    • 4.2.1. Time Period
      • 4.2.1.1. Historical Trends
      • 4.2.1.2. Current and Forecasted Estimates
    • 4.2.2. Currency Coverage
      • 4.2.2.1. Overview of Major Currencies Affecting the Market
      • 4.2.2.2. Impact of Currency Fluctuations on the Industry
    • 4.2.3. Foreign Exchange Impact
      • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
      • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
    • 4.2.4. Recession
      • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
      • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
    • 4.2.5. Inflation
      • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
      • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
    • 4.2.6. Interest Rates
      • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
      • 4.2.6.2. Strategies for Managing Interest Rate Risk
    • 4.2.7. Commodity Flow Analysis
      • 4.2.7.1. Type of Commodity
      • 4.2.7.2. Origins and Destinations
      • 4.2.7.3. Values and Weights
      • 4.2.7.4. Modes of Transportation
    • 4.2.8. Global Trade Dynamics
      • 4.2.8.1. Import Scenario
      • 4.2.8.2. Export Scenario
    • 4.2.9. War Impact Analysis
      • 4.2.9.1. Russian-Ukraine War
      • 4.2.9.2. Israel-Hamas War
    • 4.2.10. COVID Impact / Related Factors
      • 4.2.10.1. Global Economic Impact
      • 4.2.10.2. Industry-specific Impact
      • 4.2.10.3. Government Response and Stimulus Measures
      • 4.2.10.4. Future Outlook and Adaptation Strategies
    • 4.2.11. Other Indicators
      • 4.2.11.1. Fiscal Policy
      • 4.2.11.2. Consumer Spending
      • 4.2.11.3. Gross Domestic Product (GDP)
      • 4.2.11.4. Employment
      • 4.2.11.5. Taxes
      • 4.2.11.6. R&D Innovation
      • 4.2.11.7. Stock Market Performance
      • 4.2.11.8. Supply Chain
      • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

  • 6.1. Chapter Overview
  • 6.2. Overview of AI PC Market
    • 6.2.1. Type of Product
    • 6.2.2. Type of Operating System
    • 6.2.3. Type of Compute
    • 6.2.4. Type of Architecture
  • 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

  • 9.1. Chapter Overview
  • 9.2. AI PC: Overall Market Landscape
    • 9.2.1. Analysis by Year of Establishment
    • 9.2.2. Analysis by Company Size
    • 9.2.3. Analysis by Location of Headquarters
    • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE AI PC MARKET

  • 12.1. AI PC Market: Market Landscape of Startups
    • 12.1.1. Analysis by Year of Establishment
    • 12.1.2. Analysis by Company Size
    • 12.1.3. Analysis by Company Size and Year of Establishment
    • 12.1.4. Analysis by Location of Headquarters
    • 12.1.5. Analysis by Company Size and Location of Headquarters
    • 12.1.6. Analysis by Ownership Structure
  • 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

  • 13.1. Chapter Overview
  • 13.2. Acer*
    • 13.2.1. Company Overview
    • 13.2.2. Company Mission
    • 13.2.3. Company Footprint
    • 13.2.4. Management Team
    • 13.2.5. Contact Details
    • 13.2.6. Financial Performance
    • 13.2.7. Operating Business Segments
    • 13.2.8. Service / Product Portfolio (project specific)
    • 13.2.9. MOAT Analysis
    • 13.2.10. Recent Developments and Future Outlook
  • 13.3. Advanced Micro Devices
  • 13.4. Apple
  • 13.5. ASUSTeK
  • 13.6. Dell
  • 13.7. Fujitu
  • 13.8. HP
  • 13.9. Huawei
  • 13.10. Intel
  • 13.11. Lambda
  • 13.12. Lenovo
  • 13.13. Microsoft
  • 13.14. Nvidia
  • 13.15. Super Micro Computer

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMEET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

  • 17.1. Chapter Overview
  • 17.2. Recent Funding
  • 17.3. Recent Partnerships
  • 17.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL AI PC MARKET

  • 18.1. Chapter Overview
  • 18.2. Key Assumptions and Methodology
  • 18.3. Trends Disruption Impacting Market
  • 18.4. Demand Side Trends
  • 18.5. Supply Side Trends
  • 18.6. Global AI PC Market, Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 18.7. Multivariate Scenario Analysis
    • 18.7.1. Conservative Scenario
    • 18.7.2. Optimistic Scenario
  • 18.8. Investment Feasibility Index
  • 18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON TYPE OF PRODUCT

  • 19.1. Chapter Overview
  • 19.2. Key Assumptions and Methodology
  • 19.3. Revenue Shift Analysis
  • 19.4. Market Movement Analysis
  • 19.5. Penetration-Growth (P-G) Matrix
  • 19.6. AI PC Market for Desktops and Notebooks: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 19.7. AI PC Market for Workstations: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 19.8. Data Triangulation and Validation
    • 19.8.1. Secondary Sources
    • 19.8.2. Primary Sources
    • 19.8.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF OPERATING SYSTEM

  • 20.1. Chapter Overview
  • 20.2. Key Assumptions and Methodology
  • 20.3. Revenue Shift Analysis
  • 20.4. Market Movement Analysis
  • 20.5. Penetration-Growth (P-G) Matrix
  • 20.6. AI PC Market for Chrome: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 20.7. AI PC Market for MacOS: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 20.8. AI PC Market for Windows: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 20.9. Data Triangulation and Validation
    • 20.9.1. Secondary Sources
    • 20.9.2. Primary Sources
    • 20.9.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON TYPE OF COMPUTE

  • 21.1. Chapter Overview
  • 21.2. Key Assumptions and Methodology
  • 21.3. Revenue Shift Analysis
  • 21.4. Market Movement Analysis
  • 21.5. Penetration-Growth (P-G) Matrix
  • 21.6. AI PC Market for GPU: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 21.7. AI PC Market for NPU <40 TOPS: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 21.8. AI PC Market for NPU 40-60 TOPS: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 21.9. AI PC Market for Others: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 21.10. Data Triangulation and Validation
    • 21.10.1. Secondary Sources
    • 21.10.2. Primary Sources
    • 21.10.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON TYPE OF ARCHITECTURE

  • 22.1. Chapter Overview
  • 22.2. Key Assumptions and Methodology
  • 22.3. Revenue Shift Analysis
  • 22.4. Market Movement Analysis
  • 22.5. Penetration-Growth (P-G) Matrix
  • 22.6. AI PC Market for ARM: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 22.7. AI PC Market for X86: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 22.8. Data Triangulation and Validation
    • 22.8.1. Secondary Sources
    • 22.8.2. Primary Sources
    • 22.8.3. Statistical Modeling

23. MARKET OPPORTUNITIES FOR AI PC IN NORTH AMERICA

  • 23.1. Chapter Overview
  • 23.2. Key Assumptions and Methodology
  • 23.3. Revenue Shift Analysis
  • 23.4. Market Movement Analysis
  • 23.5. Penetration-Growth (P-G) Matrix
  • 23.6. AI PC Market in North America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 23.6.1. AI PC Market in the US: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 23.6.2. AI PC Market in Canada: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 23.6.3. AI PC Market in Mexico: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 23.6.4. AI PC Market in Other North American Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR AI PC IN EUROPE

  • 24.1. Chapter Overview
  • 24.2. Key Assumptions and Methodology
  • 24.3. Revenue Shift Analysis
  • 24.4. Market Movement Analysis
  • 24.5. Penetration-Growth (P-G) Matrix
  • 24.6. AI PC Market in Europe: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.1. AI PC Market in Austria: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.2. AI PC Market in Belgium: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.3. AI PC Market in Denmark: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.4. AI PC Market in France: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.5. AI PC Market in Germany: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.6. AI PC Market in Ireland: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.7. AI PC Market in Italy: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.8. AI PC Market in the Netherlands: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.9. AI PC Market in Norway: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.10. AI PC Market in Russia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.11. AI PC Market in Spain: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.12. AI PC Market in Sweden: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.13. AI PC Market in Switzerland: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.14. AI PC Market in the UK: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 24.6.15. AI PC Market in Other European Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR AI PC IN ASIA

  • 25.1. Chapter Overview
  • 25.2. Key Assumptions and Methodology
  • 25.3. Revenue Shift Analysis
  • 25.4. Market Movement Analysis
  • 25.5. Penetration-Growth (P-G) Matrix
  • 25.6. AI PC Market in Asia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 25.6.1. AI PC Market in China: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 25.6.2. AI PC Market in India: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 25.6.3. AI PC Market in Japan: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 25.6.4. AI PC Market in Singapore: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 25.6.5. AI PC Market in South Korea: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 25.6.6. AI PC Market in Other Asian Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR AI PC IN MIDDLE EAST AND NORTH AFRICA (MENA)

  • 26.1. Chapter Overview
  • 26.2. Key Assumptions and Methodology
  • 26.3. Revenue Shift Analysis
  • 26.4. Market Movement Analysis
  • 26.5. Penetration-Growth (P-G) Matrix
  • 26.6. AI PC Market in Middle East and North Africa (MENA): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.1. AI PC Market in Egypt: Historical Trends (Since 2020) and Forecasted Estimates (Till 205)
    • 26.6.2. AI PC Market in Iran: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.3. AI PC Market in Iraq: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.4. AI PC Market in Israel: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.5. AI PC Market in Kuwait: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.6. AI PC Market in Saudi Arabia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.7. AI PC Market in United Arab Emirates (UAE): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 26.6.8. AI PC Market in Other MENA Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR AI PC IN LATIN AMERICA

  • 27.1. Chapter Overview
  • 27.2. Key Assumptions and Methodology
  • 27.3. Revenue Shift Analysis
  • 27.4. Market Movement Analysis
  • 27.5. Penetration-Growth (P-G) Matrix
  • 27.6. AI PC Market in Latin America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 27.6.1. AI PC Market in Argentina: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 27.6.2. AI PC Market in Brazil: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 27.6.3. AI PC Market in Chile: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 27.6.4. AI PC Market in Colombia Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 27.6.5. AI PC Market in Venezuela: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 27.6.6. AI PC Market in Other Latin American Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR AI PC IN REST OF THE WORLD

  • 28.1. Chapter Overview
  • 28.2. Key Assumptions and Methodology
  • 28.3. Revenue Shift Analysis
  • 28.4. Market Movement Analysis
  • 28.5. Penetration-Growth (P-G) Matrix
  • 28.6. AI PC Market in Rest of the World: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 28.6.1. AI PC Market in Australia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 28.6.2. AI PC Market in New Zealand: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
    • 28.6.3. AI PC Market in Other Countries
  • 28.7. Data Triangulation and Validation

29. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

  • 29.1. Leading Player 1
  • 29.2. Leading Player 2
  • 29.3. Leading Player 3
  • 29.4. Leading Player 4
  • 29.5. Leading Player 5
  • 29.6. Leading Player 6
  • 29.7. Leading Player 7
  • 29.8. Leading Player 8

30. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

31. KEY WINNING STRATEGIES

32. PORTER'S FIVE FORCES ANALYSIS

33. SWOT ANALYSIS

34. VALUE CHAIN ANALYSIS

35. ROOTS STRATEGIC RECOMMENDATIONS

  • 35.1. Chapter Overview
  • 35.2. Key Business-related Strategies
    • 35.2.1. Research & Development
    • 35.2.2. Product Manufacturing
    • 35.2.3. Commercialization / Go-to-Market
    • 35.2.4. Sales and Marketing
  • 35.3. Key Operations-related Strategies
    • 35.3.1. Risk Management
    • 35.3.2. Workforce
    • 35.3.3. Finance
    • 35.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

36. INSIGHTS FROM PRIMARY RESEARCH

37. REPORT CONCLUSION

SECTION IX: APPENDIX

38. TABULATED DATA

39. LIST OF COMPANIES AND ORGANIZATIONS

40. CUSTOMIZATION OPPORTUNITIES

41. ROOTS SUBSCRIPTION SERVICES

42. AUTHOR DETAILS