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市場調查報告書
商品編碼
1899834
行動人工智慧(AI)市場規模、佔有率和成長分析(按技術節點、組件、應用、垂直產業和地區分類)-2026-2033年產業預測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 2026-2033 |
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預計到 2024 年,行動人工智慧 (AI) 市場規模將達到 356.7 億美元,到 2025 年將達到 452.7 億美元,到 2033 年將達到 3044.2 億美元,在預測期(2026-2033 年)內,複合年成長率為 26.9%。
行動人工智慧 (AI) 產業正蓄勢待發,即將迎來顯著成長,這主要得益於邊緣運算的興起和認知運算的日益普及。隨著企業意識到裝置端處理的重要性,智慧型手機創新 AI 應用的需求也迅速成長。這種轉變正在推動先進解決方案的開發,這些解決方案利用機器學習和大量數據分析來提供可執行的洞察。將 AI 技術整合到虛擬助理、自動駕駛汽車和聊天機器人等日常設備中,正在改變用戶體驗,並顯著改變行動裝置的使用方式。這種持續發展凸顯了行動 AI 的巨大潛力,它有望徹底改變各行各業,提高營運效率和客戶參與。
行動人工智慧(AI)市場促進因素
由於人工智慧(AI)驅動的應用在娛樂、醫療保健和金融等多個領域迅速普及,行動人工智慧市場正經歷顯著成長。隨著臉部辨識、語音助理和擴增實境(AR)等先進功能不斷整合到行動裝置中,對這些技術的需求也在快速成長。這種整合提升了用戶體驗和業務效率,使人工智慧成為行動應用不可或缺的一部分。日常營運中對智慧人工智慧功能的日益依賴,正在推動市場成長,並凸顯人工智慧對行動技術和各行各業的變革性影響。
行動人工智慧(AI)市場面臨的限制因素
將人工智慧技術開發並整合到行動裝置中需要大量資金,這對許多公司來說都是一個巨大的挑戰。這些創新帶來的高昂研發成本會阻礙市場擴張,尤其對於缺乏資金投資先進技術的中小型企業而言更是如此。這種投資壁壘可能會限制行動人工智慧領域的有效競爭,並最終阻礙人工智慧解決方案在各種平台和應用領域的開發和應用。因此,整體市場成長可能會受到顯著限制。
行動人工智慧(AI)市場趨勢
行動人工智慧 (AI) 市場正呈現出人工智慧與邊緣運算融合的顯著趨勢,這徹底改變了資料處理和利用的方式。這種創新方法透過減少對雲端系統的依賴、最大限度地降低延遲並實現即時資料處理,從而增強了行動裝置的效能。邊緣 AI 透過限制資料傳輸增強用戶隱私,並提高行動應用程式的自主性。因此,設備變得越來越靈敏和智慧,從而促進了能夠提供豐富用戶體驗的新應用程式的開發。這一趨勢正在將行動裝置定位為不斷發展的數位環境中不可或缺的工具,並推動對先進 AI 解決方案的需求。
Mobile Artificial Intelligence (AI) Market size was valued at USD 35.67 Billion in 2024 and is poised to grow from USD 45.27 Billion in 2025 to USD 304.42 Billion by 2033, growing at a CAGR of 26.9% during the forecast period (2026-2033).
The mobile artificial intelligence (AI) industry is poised for substantial growth, fueled by the rise of edge computing and the increasing prevalence of cognitive computing. As organizations recognize the necessity for on-device processing, the demand for innovative AI applications on smartphones is rapidly increasing. This shift is encouraging the development of advanced solutions that leverage machine learning and vast data analysis to deliver actionable insights. The integration of AI technologies into everyday devices, including virtual assistants, self-driving vehicles, and chatbots, is transforming user experiences and creating a pivotal change in how mobile devices are utilized. This ongoing evolution underscores the potential for mobile AI to revolutionize various industries, enhancing operational efficiency and customer engagement.
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 experiencing a significant boost due to the widespread adoption of AI-driven applications across multiple sectors such as entertainment, healthcare, and finance. As mobile devices continue to integrate advanced functionalities like facial recognition, voice assistants, and augmented reality, the demand for these technologies is rapidly escalating. This integration enhances user experiences and operational efficiencies, making AI an essential component of mobile applications. Consequently, the increasing reliance on smart, AI-enabled features in everyday tasks is propelling market growth, highlighting the transformative impact of artificial intelligence on mobile technology and various industries.
Restraints in the Mobile Artificial Intelligence (AI) Market
The significant financial resources needed to create and incorporate artificial intelligence technology into mobile devices can pose a substantial challenge for numerous companies. The elevated research and development expenses associated with these innovations may hinder market expansion, particularly for smaller enterprises that lack the capital to invest in such advanced technologies. This investment barrier can limit their ability to compete effectively in the mobile artificial intelligence sector, ultimately stalling the progress and implementation of AI solutions across various platforms and applications. As a result, the overall growth of the market may be significantly constrained.
Market Trends of the Mobile Artificial Intelligence (AI) Market
The Mobile Artificial Intelligence (AI) market is witnessing a significant trend towards the integration of AI with edge computing, revolutionizing how data is processed and utilized. This innovative approach enhances mobile devices' capabilities by reducing reliance on cloud systems, thereby minimizing latency and enabling instantaneous data processing. Edge AI bolsters user privacy by limiting data transfers, fostering greater autonomy in mobile applications. As a result, devices are becoming increasingly responsive and intelligent, facilitating the development of novel applications that offer enriched user experiences. This trend is positioning mobile devices as essential tools in the ever-evolving digital landscape, driving demand for advanced AI solutions.