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모바일 인공지능(AI) 시장 규모, 점유율, 성장 분석 : 기술 노드별, 구성요소별, 용도별, 업계별, 지역별 - 산업 예측(2025-2032년)
Mobile Artificial Intelligence (AI) Market Size, Share, and Growth Analysis, By Technology Node (7 nm, 10 nm), By Component (Hardware, Software), By Application, By Industry Vertical, By Region - Industry Forecast 2025-2032
상품코드 : 1687557
리서치사 : SkyQuest
발행일 : 2025년 03월
페이지 정보 : 영문 197 Pages
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한글목차

모바일 인공지능(AI) 시장 규모는 2023년 281억 1,000만 달러로 평가되며, 예측 기간(2025-2032년) 동안 26.9%의 CAGR로 2024년 356억 7,000만 달러에서 2032년 2,398억 9,000만 달러로 성장할 것으로 예상됩니다.

엣지 컴퓨팅에 대한 수요 급증은 모바일 인공지능(AI) 분야에 큰 비즈니스 기회를 제공합니다. 전 세계 기업들은 AI 전략을 재구성하고 개발 프로세스에 클라우드 컴퓨팅을 통합하고 있습니다. 소비자의 스마트폰 의존도가 높아짐에 따라 강력한 온디바이스 컴퓨팅에 대한 필요성이 증가함에 따라 엣지 컴퓨팅은 향후 몇 년 동안 크게 성장할 것으로 예상됩니다. 인지 컴퓨팅과 다양한 AI 애플리케이션의 등장은 AI와 머신러닝을 활용한 시스템이 방대한 데이터세트를 분석하여 귀중한 인사이트를 도출하고 기능을 강화함으로써 시장의 모멘텀을 가속화하고 있습니다. 가상 비서, 자율주행차, 챗봇 등의 혁신으로 대표되는 AI가 IT 산업 환경에 미치는 변혁적 영향은 스마트폰의 실용성과 사용자 경험을 근본적으로 변화시키며 여러 산업을 재편하고 있습니다.

목차

소개

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

모바일 인공지능(AI) 시장 규모 : 기술 노드별·CAGR(2025-2032년)

모바일 인공지능(AI) 시장 규모 : 구성요소별·CAGR(2025-2032년)

모바일 인공지능(AI) 시장 규모 : 용도별·CAGR(2025-2032년)

모바일 인공지능(AI) 시장 규모 : 업계별·CAGR(2025-2032년)

모바일 인공지능(AI) 시장 규모·CAGR(2025-2032년)

경쟁 정보

주요 기업 개요

결론과 제안

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영문 목차

영문목차

Mobile Artificial Intelligence (AI) Market size was valued at USD 28.11 billion in 2023 and is poised to grow from USD 35.67 billion in 2024 to USD 239.89 billion by 2032, growing at a CAGR of 26.9% during the forecast period (2025-2032).

The burgeoning demand for edge computing presents significant opportunities for the mobile artificial intelligence (AI) sector. Companies globally are reimagining their AI strategies, increasingly integrating cloud computing into their development processes. As consumer reliance on smartphones intensifies, the necessity for robust on-device computing grows, positioning edge computing for substantial growth in the coming years. The rise of cognitive computing and diverse AI applications is propelling market momentum, as systems leveraging AI and machine learning analyze vast datasets to extract valuable insights and enhance functionality. AI's transformative impact on the IT landscape is reshaping multiple industries, exemplified through innovations like virtual assistants, autonomous vehicles, and chatbots, fundamentally altering smartphone utility and user experience.

Top-down and bottom-up approaches were used to estimate and validate the size of the Mobile Artificial Intelligence (AI) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Mobile Artificial Intelligence (AI) Market Segments Analysis

Global Mobile Artificial Intelligence (AI) Market is segmented by Technology Node, Component, Application, Industry Vertical and region. Based on Technology Node, the market is segmented into 7 nm, 10 nm, 20-28 nm and Others. Based on Component, the market is segmented into Hardware, Software and Services. Based on Application, the market is segmented into Smartphones, Cameras, Drones, Robotics, Automotive, AR/VR and Others. Based on Industry Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Retail, BFSI (Banking, Financial Services, and Insurance), IT and Telecom and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Mobile Artificial Intelligence (AI) Market

The Mobile Artificial Intelligence (AI) market is witnessing significant growth fueled by the widespread adoption of AI-driven applications across diverse sectors such as entertainment, healthcare, and finance. The integration of advanced technologies into mobile devices, including features like facial recognition, voice assistants, and augmented reality, is propelling the demand for AI-enhanced functionalities. As more industries leverage these innovations to improve user experience and operational efficiency, the mobile AI market is set to expand rapidly. This trend highlights the increasing importance of AI in everyday mobile applications, making it a pivotal driver for growth in this burgeoning market.

Restraints in the Mobile Artificial Intelligence (AI) Market

The substantial financial investments necessary for the development and integration of artificial intelligence technology into mobile devices pose a significant challenge for many companies. The elevated research and development expenses can hinder market expansion, particularly impacting smaller enterprises that may lack the resources to compete effectively. This financial barrier can result in limited innovation and slower adoption of AI solutions within the mobile sector, ultimately constraining the overall growth of the Mobile Artificial Intelligence market. Companies may struggle to allocate the necessary funds, which could lead to reduced competitive advantages and a slowdown in technological advancements.

Market Trends of the Mobile Artificial Intelligence (AI) Market

The Mobile Artificial Intelligence (AI) market is witnessing a transformative trend with the convergence of AI and edge computing, which significantly enhances device functionality by processing data closer to its source. This integration reduces latency and boosts real-time processing capabilities, allowing mobile devices to function more autonomously, thereby enriching user experiences. Moreover, by minimizing data transfers to centralized servers, edge AI heightens data privacy, addressing growing consumer concerns. As mobile applications increasingly harness this technology, we anticipate a surge in innovative solutions that will redefine user engagement and operational efficiency, positioning the sector for substantial growth in the coming years.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Mobile Artificial Intelligence (AI) Market Size by Technology Node & CAGR (2025-2032)

Global Mobile Artificial Intelligence (AI) Market Size by Component & CAGR (2025-2032)

Global Mobile Artificial Intelligence (AI) Market Size by Application & CAGR (2025-2032)

Global Mobile Artificial Intelligence (AI) Market Size by Industry Vertical & CAGR (2025-2032)

Global Mobile Artificial Intelligence (AI) Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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