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市場調查報告書
商品編碼
1574169

行動人工智慧市場－2024年至2029年預測

Mobile Artificial Intelligence Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

行動人工智慧市場預計複合年成長率為28.49%，市場規模將從2024年的226.58億美元增加到2029年的793.67億美元。

行動人工智慧（AI）主要是指將人工智慧技術融入智慧型手機、平板電腦等行動通訊設備。除了一般用途之外，這些設備還可以作為眾多人工智慧應用程式的平台。語言翻譯、影像識別和語音辨識只是行動裝置上人工智慧多功能性的幾個例子。然而，這些技術的發展引起了新的擔憂，特別是關於抄襲的擔憂。使用人工智慧進行內容生成使得很難區分人類編寫的文字和人工智慧生成的文字。也記錄了一些令人不安的案例，其中學生使用人工智慧語言模型並將其冒充為自己的原創作品，從而破壞了學術誠信原則。

為了解決這個問題，幾位巧妙的設計師開發了應用程式，可以辨別論文是由人類還是人工智慧語言模型撰寫的，以防止學術詐欺。儘管透過將人工智慧融入智慧型手機設備可以提高生產力和效率，但在確保積極影響的同時，必須保持其道德完整性並防止抄襲，這一點至關重要。

行動人工智慧市場促進因素：

  • 對支援人工智慧的處理器的需求增加預計將推動市場成長

智慧型手機和平板電腦等行動技術對配備人工智慧的處理器的需求不斷成長。需求的增加是由於這些行動裝置可以使用人工智慧來執行多種功能。行動世界正在透過語言翻譯、圖像辨識甚至語音辨識等多種功能擁抱人工智慧。為了迎合不斷變化且精通技術的一代，製造商正在將各種形式的人工智慧融入他們的小工具中，以提供更好的用戶體驗。然而，這不僅僅是為了個人方便。在某些領域，例如醫療保健、遊戲和攝影，擁有運行人工智慧演算法的專用晶片是最佳化性能和運行效率的關鍵，從而提高行動運算設備的整體品質（Fraschini 等人）。發展，支援人工智慧的處理器預計將在行動電話和平板電腦設備中繼續受到高需求，這有望改變這些伴同性設備的使用方式。

行動人工智慧市場地域展望

  • 亞太地區在預測期內將經歷指數級成長

全部區域行動應用程式的繁榮源於智慧型手機使用量的不斷增加和網路存取的改善。快速成長的中產階級人口也是推動行動AI技術需求的因素之一。此外，中國和日本在汽車製造、電子和半導體行業擁有巨大的影響力，這有助於推動該市場的發展。這些經濟強國和許多製造公司為在全部區域建立行動人工智慧業務做出了重大貢獻。最近的 5G 技術趨勢導致該地區小型基地台的快速擴張。這意味著隨著資料傳輸變得更快、更有效率以及人工智慧能力的提高，行動人工智慧市場將爆炸性成長。

為什麼要購買這份報告？

  • 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、行業部門和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的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開拓。
  • 可行的建議：利用洞察力做出策略決策，在動態環境中發現新的業務流和收益。
  • 面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、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年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介（策略、產品、財務資訊、主要動態等）

行動人工智慧市場細分分析如下：

按成分

  • 硬體
  • 處理器
  • 記憶
  • 感應器
  • 其他
  • 軟體
  • 服務

依技術節點

  • 20-28nm
  • 10nm
  • 7nm
  • 其他

按最終用戶

  • 智慧型手機
  • 相機
  • 無人機
  • 車
  • 機器人
  • AR/VR
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 日本
  • 中國
  • 印度
  • 韓國
  • 印尼
  • 泰國
  • 其他

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
  • 相關利益者的主要利益

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章行動人工智慧市場：按組成部分

  • 介紹
  • 硬體
    • 處理器
    • 記憶
    • 感應器
    • 其他
  • 軟體
  • 服務

第6章行動人工智慧市場：按技術節點

  • 介紹
  • 20-28nm
  • 10nm
  • 7nm
  • 其他

第7章行動人工智慧市場：按最終用戶分類

  • 介紹
  • 智慧型手機
  • 相機
  • 無人機
  • 車
  • 機器人技術
  • 關於AR/VR
  • 其他

第8章行動人工智慧市場：按地區分類

  • 介紹
  • 北美洲
    • 按成分
    • 依技術節點
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按成分
    • 依技術節點
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按成分
    • 依技術節點
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按成分
    • 依技術節點
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按成分
    • 依技術節點
    • 按最終用戶
    • 按國家/地區

第9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10章 公司簡介

  • Qualcomm Inc
  • Nvidia
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Apple Inc
  • Huawei（Hisilicon）
  • GoogleLLC
  • Mediatek
  • Samsung
  • Cerebras Systems
簡介目錄
Product Code: KSI061616153

The mobile artificial intelligence market is expected to grow at a CAGR of 28.49%, reaching a market size of US$79.367 billion in 2029 from US$22.658 billion in 2024.

Mobile artificial intelligence (AI) signifies the amalgamation of AI technology into mobile communication devices, mostly smartphones and tablets. These devices serve as platforms for a multitude of AI applications, extending beyond typical use. Language translation, image recognition, and voice identification are just some examples of how versatile it can be when harnessed on a mobile device. Nevertheless, this development in technology raises new concerns, especially about plagiarism. The use of AI for content generation creates such complexity that differentiating between human-written materials and texts generated by AI becomes difficult. Some disturbing cases have been recorded where students have utilized AI language models, pretending they are their original works, thereby undermining principles of academic honesty.

To deal with this issue, a few creative designers have developed applications that can tell if an essay was written by a human or an AI language model, protecting against academic dishonesty. Despite the potential for increased productivity and efficiency by integrating AI into smartphone devices, it is essential to exercise caution to preserve its ethical integrity and prevent plagiarism while ensuring a positive impact.

Mobile Artificial Intelligence Market Drivers:

  • Increasing demand for AI-enabling processors is anticipated to increase the market growth

An increased need for processors powered by AI has been observed in mobile technology, including smartphones and tablets. The rise in demand can be attributed to diverse functions that can be performed using AI applied to these portable devices. The mobile world has embraced it through diverse functions like translation of languages, recognition of images, and even voice recognition. To keep up with this ever-changing, tech-savvy generation, manufacturers have incorporated different forms of artificial intelligence in their gadgets aimed at providing much better user experiences. However, this does not end at personal convenience. There are also sectors such as healthcare, gaming, or photography where performance optimization and operational efficiency hinge on having dedicated chips for running AI algorithms within them, thus enhancing the overall quality of mobile computing devices (Fraschini et al., 2020). Therefore, it is expected that with further developments in the field, AI-enabled processors will continue being in high demand for phones and tablets, thereby changing how people use these companion devices.

Mobile Artificial Intelligence Market Geographical Outlook

  • Asia Pacific is witnessing exponential growth during the forecast period

The mobile app boom regionwide emanates from ever-increasing smartphone use and improved Internet access. The burgeoning middle-class population is another factor that drives demand for mobile AI technologies. Furthermore, China and Japan have been instrumental in promoting this market because of their massive presence in the auto-making, electronics, and semiconductor industries. These economic giants and many manufacturing companies contribute substantially to establishing mobile AI businesses across the Asia Pacific region. 5G technology development has brought about the rapid expansion of small cells within this region recently. This implies explosive growth in mobile AI markets because it makes data transmission faster and more efficient, thus improving artificial intelligence features.

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 Mobile artificial intelligence market is segmented and analyzed as follows:

By Component

  • Hardware
  • Processor
  • Memory
  • Sensor
  • Others
  • Software
  • Services

By Technology Node

  • 20-28nm
  • 10nm
  • 7nm
  • Others

By End User

  • Smartphones
  • Cameras
  • Drones
  • Automotive
  • Robotics
  • AR/ VR
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • 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. MOBILE ARTIFICIAL INTELLIGENCE MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. Hardware
    • 5.2.1. Processor
    • 5.2.2. Memory
    • 5.2.3. Sensor
    • 5.2.4. Others
  • 5.3. Software
  • 5.4. Services

6. MOBILE ARTIFICIAL INTELLIGENCE MARKET BY TECHNOLOGY NODE

  • 6.1. Introduction
  • 6.2. 20-28nm
  • 6.3. 10nm
  • 6.4. 7nm
  • 6.5. Others

7. MOBILE ARTIFICIAL INTELLIGENCE MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Smartphones
  • 7.3. Cameras
  • 7.4. Drones
  • 7.5. Automotive
  • 7.6. Robotics
  • 7.7. AR/ VR
  • 7.8. Others

8. MOBILE ARTIFICIAL INTELLIGENCE MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Component
    • 8.2.2. By Technology Node
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Component
    • 8.3.2. By Technology Node
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Component
    • 8.4.2. By Technology Node
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Component
    • 8.5.2. By Technology Node
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Component
    • 8.6.2. By Technology Node
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. Japan
      • 8.6.4.2. China
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Thailand
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Qualcomm Inc
  • 10.2. Nvidia
  • 10.3. Intel Corporation
  • 10.4. IBM Corporation
  • 10.5. Microsoft Corporation
  • 10.6. Apple Inc
  • 10.7. Huawei (Hisilicon)
  • 10.8. GoogleLLC
  • 10.9. Mediatek
  • 10.10. Samsung
  • 10.11. Cerebras Systems