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市场调查报告书
商品编码
1752115

AI PC市场市场 (～2035年):产品类型·OS类型·运算类型·架构·各地区的分布·产业趋势·全球预测

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个工作天内

价格
简介目录

预计到 2035 年，全球 AI PC 市场规模将从目前的 610 亿美元增长至 9,920 亿美元，预测期内复合年增长率为 32.16%。

AI PC Market-IMG1

AI PC的市场机会:各市场区隔

各产品类型

  • 桌上型电脑(桌面)及笔记型电脑
  • 工作站

各作业系统

  • Chrome
  • MacOS
  • Windows

按运算类型

  • GPU
  • NPU 40 不满TOPS
  • NPU 40-60 TOPS

按架构

  • ARM
  • X86

各地区

  • 北美
  • 美国
  • 加拿大
  • 墨西哥
  • 其他的北美各国
  • 欧洲
  • 奥地利
  • 比利时
  • 丹麦
  • 法国
  • 德国
  • 爱尔兰
  • 义大利
  • 荷兰
  • 挪威
  • 俄罗斯
  • 西班牙
  • 瑞典
  • 瑞士
  • 英国
  • 其他欧洲各国
  • 亚洲
  • 中国
  • 印度
  • 日本
  • 新加坡
  • 韩国
  • 其他亚洲各国
  • 南美
  • 巴西
  • 智利
  • 哥伦比亚
  • 委内瑞拉
  • 其他的南美各国
  • 中东·北非
  • 埃及
  • 伊朗
  • 伊拉克
  • 以色列
  • 科威特
  • 沙乌地阿拉伯
  • 阿拉伯联合大公国
  • 其他的MENA各国
  • 全球其他地区
  • 澳洲
  • 纽西兰
  • 其他的国家

人工智慧PC市场：成长与趋势

根据 "富比士" 报道，64%的企业认为人工智慧将提高其生产力。在此背景下，人工智慧PC正以其效率和创新塑造运算的未来。人工智慧PC配备了神经处理单元 (NPU)，可以使用复杂的演算法执行人工智慧任务。这项技术是企业人工智慧解决方案的核心，用于即时数据分析和生产力提升。此外，支援人工智慧的PC还配备了各种高级功能，例如自然语言处理、影像辨识和预测分析。

值得注意的是，人工智慧因其在工业自动化和业务效率方面的优势，正在被各大行业广泛采用。此外，人工智慧PC市场也因其强大的性能和对各种复杂软体的支援而备受关注。人工智慧和机器学习应用程式的平稳运行也对该行业的成长起着关键作用。

自然语言处理 (NLP) 和机器学习在充分发挥这些设备的潜力方面发挥着重要作用。此外，可靠性、效率和可扩展性的提升正在推动资料密集型运算设备市场的成长，这也有助于优化功耗并提高响应速度。

此外，先进GPU和NPU的不断发展也有助于扩大下一代笔记型电脑市场。具有AI功能的游戏PC市场以及家电产业的趋势也是推动该产业发展的主要因素。

本报告提供全球AI PC的市场调查，彙整市场概要，背景，市场影响因素的分析，市场规模的转变·预测，各种区分·各地区的详细分析，竞争情形，主要企业简介等资讯。

目录

章节I:报告概要

第1章 序文

第2章 调查手法

第3章 市场动态

第4章 宏观经济指标

章节II:定性的洞察

第5章 摘要整理

第6章 简介

第7章 法规Scenario

章节III:市场概要

第8章 主要企业整体性资料库

第9章 竞争情形

第10章 閒置频段分析

第11章 企业竞争力分析

第12章 AI PC市场上Start-Ups生态系统

章节IV:企业简介

第13章 企业简介

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

章节V:市场趋势

第14章 大趋势分析

第15章 未满足需求分析

第16章 专利分析

第17章 最近的趋势

章节VI:市场机会分析

第18章 全球AI PC市场

第19章 各产品类型的市场机会

第20章 各作业系统的市场机会

第21章 运算类型的市场机会

第22章 架构的市场机会

第23章 北美AI PC的市场机会

第24章 欧洲的AI PC的市场机会

第25章 亚洲的AI PC的市场机会

第26章 中东与北非的AI PC的市场机会

第27章 南美的AI PC的市场机会

第28章 全球其他地区的AI PC的市场机会

第29章 市场集中分析:各主要企业分布

第30章 邻近市场分析

章节VII:策略工具

第31章 变成胜利的关键的策略

第32章 波特的五力分析

第33章 SWOT分析

第34章 价值链分析

第35章 始祖策略建议

章节VIII:其他的垄断的洞察

第36章 来自1次调查的洞察

第37章 总论

章节IX:附录

第38章 表格形式资料

第39章 企业·团体一览

第40章 客制化的机会

第41章 ROOTS 订阅服务

第42章 作者详情

简介目录
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.

ADDITIONAL BENEFITS

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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