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市场调查报告书
商品编码
1574169

行动人工智慧市场－2024年至2029年预测

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个工作天内

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简介目录

行动人工智慧市场预计复合年增长率为28.49%，市场规模将从2024年的226.58亿美元增加到2029年的793.67亿美元。

行动人工智慧（AI）主要是指将人工智慧技术融入智慧型手机、平板电脑等行动通讯设备。除了一般用途之外，这些设备还可以作为众多人工智慧应用程式的平台。语言翻译、影像识别和语音辨识只是行动装置上人工智慧多功能性的几个例子。然而，这些技术的发展引起了新的担忧，特别是关于抄袭的担忧。使用人工智慧进行内容生成使得很难区分人类编写的文字和人工智慧生成的文字。也记录了一些令人不安的案例，其中学生使用人工智慧语言模型并将其冒充为自己的原创作品，从而破坏了学术诚信原则。

为了解决这个问题，几位巧妙的设计师开发了应用程序，可以辨别论文是由人类还是人工智慧语言模型撰写的，以防止学术诈欺。儘管透过将人工智慧融入智慧型手机设备可以提高生产力和效率，但在确保积极影响的同时，必须保持其道德完整性并防止抄袭，这一点至关重要。

行动人工智慧市场驱动因素：

  • 对支援人工智慧的处理器的需求增加预计将推动市场成长

智慧型手机和平板电脑等行动技术对配备人工智慧的处理器的需求不断增长。需求的增加是由于这些行动装置可以使用人工智慧来执行多种功能。行动世界正在透过语言翻译、图像辨识甚至语音辨识等多种功能拥抱人工智慧。为了迎合不断变化且精通技术的一代，製造商正在将各种形式的人工智慧融入他们的小工具中，以提供更好的用户体验。然而，这不仅仅是为了个人方便。在某些领域，例如医疗保健、游戏和摄影，拥有运行人工智慧演算法的专用晶片是优化性能和运行效率的关键，从而提高行动运算设备的整体品质（Fraschini 等人）。发展，支援人工智慧的处理器预计将在行动电话和平板电脑设备中继续受到高需求，这有望改变这些伴同性设备的使用方式。

行动人工智慧市场地域展望

  • 亚太地区在预测期内将经历指数级增长

全部区域行动应用程式的繁荣源于智慧型手机使用量的不断增加和网路存取的改善。快速成长的中产阶级人口也是推动行动AI技术需求的因素之一。此外，中国和日本在汽车製造、电子和半导体行业拥有巨大的影响力，这有助于推动该市场的发展。这些经济强国和许多製造公司为在全部区域建立行动人工智慧业务做出了重大贡献。最近的 5G 技术趋势导致该地区小型基地台的快速扩张。这意味着随着资料传输变得更快、更有效率以及人工智慧能力的提高，行动人工智慧市场将爆炸性成长。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中发现新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要动态等）

行动人工智慧市场細項分析如下：

按成分

  • 硬体
  • 处理器
  • 记忆
  • 感应器
  • 其他的
  • 软体
  • 服务

依技术节点

  • 20-28nm
  • 10nm
  • 7nm
  • 其他的

按最终用户

  • 智慧型手机
  • 相机
  • 无人机
  • 车
  • 机器人
  • AR/VR
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 印尼
  • 泰国
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章行动人工智慧市场：按组成部分

  • 介绍
  • 硬体
    • 处理器
    • 记忆
    • 感应器
    • 其他的
  • 软体
  • 服务

第六章行动人工智慧市场：按技术节点

  • 介绍
  • 20-28nm
  • 10nm
  • 7nm
  • 其他的

第七章行动人工智慧市场：按最终用户划分

  • 介绍
  • 智慧型手机
  • 相机
  • 无人机
  • 车
  • 机器人技术
  • 关于AR/VR
  • 其他的

第八章行动人工智慧市场：按地区划分

  • 介绍
  • 北美洲
    • 按成分
    • 依技术节点
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按成分
    • 依技术节点
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按成分
    • 依技术节点
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按成分
    • 依技术节点
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按成分
    • 依技术节点
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Qualcomm Inc
  • Nvidia
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Apple Inc
  • Huawei（Hisilicon）
  • GoogleLLC
  • Mediatek
  • Samsung
  • Cerebras Systems
简介目录
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