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市场调查报告书
商品编码
1687557
行动人工智慧 (AI) 市场规模、份额及成长分析(按技术节点、组件、应用、垂直领域和地区)- 产业预测,2025 年至 2032 年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 |
预计到 2023 年,行动人工智慧 (AI) 市场规模将达到 281.1 亿美元,从 2024 年的 356.7 亿美元成长到 2032 年的 2398.9 亿美元,预测期内(2025-2032 年)的复合年增长率为 26.9%。
边缘运算需求的激增为行动人工智慧(AI)领域创造了巨大的商机。世界各地的企业正在重新构想其人工智慧策略,并将云端运算融入其开发流程。随着消费者对智慧型手机的依赖程度越来越高,对强大的装置运算的需求也日益增长,预计未来几年边缘运算将大幅成长。随着人工智慧和机器学习系统分析大量资料集以提取有价值的见解并增强能力,认知运算和多样化人工智慧应用的兴起正在加速市场发展势头。人工智慧对 IT 格局的变革性影响,以虚拟助理、自动驾驶汽车和聊天机器人等创新为例,正在从根本上改变智慧型手机的实用性和使用者体验,并再形成多个产业。
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.