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全球行动人工智慧 (AI) 市场研究报告 - 2024 年至 2032 年产业分析、规模、份额、成长、趋势和预测Global Mobile Artificial Intelligence (AI) Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球行动人工智慧(AI)市场需求预计将从2023年的197.8亿美元达到2032年近1928.3亿美元的市场规模,2024-2032年研究期间复合年增长率为28.79%。
行动人工智慧(AI)是指将人工智慧能力和演算法整合到智慧型手机、平板电脑、穿戴式装置和物联网设备等行动装置中,以实现行动中的智慧和情境感知应用和服务。行动人工智慧利用行动装置的运算能力、感测器、连接性和使用者介面来执行高阶人工智慧任务,包括自然语言处理、语音辨识、预测分析、影像辨识和本地装置或云端的机器学习。行动人工智慧支援许多智慧功能和应用,包括虚拟助理、个人化推荐、扩增实境、自主导航、智慧摄影机和健康监测,从而增强用户体验、生产力和效率。
行动人工智慧 (AI) 市场正在经历快速成长,这是由几个重塑行动技术格局的关键因素推动的,并推动了对智慧、数据驱动的应用程式和服务的需求。首先,智慧型手机和行动装置的普及以及越来越强大的处理器、高速连接和先进感测器使设备上的人工智慧处理和推理成为可能,将人工智慧能力直接带到用户的指尖。行动人工智慧使用户能够在各种应用程式中存取个人化建议、预测见解和情境体验,包括虚拟助理、影像辨识、自然语言处理和预测分析。此外,对个人化使用者体验、主动协助以及跨装置和平台无缝整合的需求不断增长,推动了对行动人工智慧 (AI) 的投资,从而实现智慧自动化、情境感知和预期运算。此外,边缘运算架构和联合学习方法的兴起使得跨行动装置网路的分散式人工智慧处理和协作学习成为可能,从而在不依赖集中式云端基础设施的情况下实现保护隐私的人工智慧应用程式和即时洞察。此外,人工智慧演算法、深度学习模型和神经网路架构的进步提高了行动人工智慧的效能、效率和准确性,从而实现了具有苛刻运算要求的新用例和应用,例如扩增实境(AR)、自动驾驶和智慧机器人。此外,对资料隐私、安全和道德人工智慧原则的日益重视推动了对行动人工智慧解决方案的投资,这些解决方案优先考虑资料收集、处理和决策中的使用者控制、透明度和公平性。此外,人工智慧道德、透明度和问责制的监管倡议和行业标准推动了负责任的人工智慧开发实践,并培养了用户和利益相关者之间的信任和信心。然而,行动运算趋势的转变以及来自老牌企业的竞争可能会挑战未来几年行动人工智慧(AI)市场的成长。
研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外,这些工具也对全球行动人工智慧(AI)市场的各个细分市场进行了包容性评估。行动人工智慧 (AI) 产业的成长和趋势为本研究提供了整体方法。
行动人工智慧(AI)市场报告的这一部分提供了国家和地区层面细分市场的详细资料,从而帮助策略师确定相应产品或服务的目标人群以及即将到来的机会。
本节涵盖区域展望,重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲行动人工智慧 (AI) 市场当前和未来的需求。此外,该报告重点关注所有主要地区各个应用领域的需求、估计和预测。
该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。行动人工智慧(AI)市场的主要参与者包括 Safari Tent、Lotus Belle Tents、Feather Down Farms、Eco Structures、Stout Tent、Under Canvas、The Glam Camping Company、Glampotel、Whitepod、Tentsile、Pacific Domes、Luxury Frontiers、 Terra Glamping、Glitzcamp、Barebones Living。本节包含竞争格局的整体视图,包括各种策略发展,例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。
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The global demand for Mobile Artificial Intelligence (AI) Market is presumed to reach the market size of nearly USD 192.83 Billion by 2032 from USD 19.78 Billion in 2023 with a CAGR of 28.79% under the study period 2024-2032.
Mobile artificial intelligence (AI) refers to integrating AI capabilities and algorithms into mobile devices such as smartphones, tablets, wearables, and IoT devices to enable intelligent and context-aware applications and services on the go. Mobile AI leverages mobile devices' computational power, sensors, connectivity, and user interface to perform advanced AI tasks, including natural language processing, voice recognition, predictive analytics, image recognition, and machine learning locally on the device or in the cloud. Mobile AI enables many intelligent features and applications, including virtual assistants, personalized recommendations, augmented reality, autonomous navigation, smart cameras, and health monitoring, enhancing user experience, productivity, and efficiency.
The mobile artificial intelligence (AI) market is witnessing rapid growth driven by several key factors reshaping the mobile technology landscape and driving demand for intelligent, data-driven applications and services. Firstly, the proliferation of smartphones and mobile devices with increasingly powerful processors, high-speed connectivity, and advanced sensors enables on-device AI processing and inference, bringing AI capabilities directly to users' fingertips. Mobile AI empowers users to access personalized recommendations, predictive insights, and contextual experiences across various applications, including virtual assistants, image recognition, natural language processing, and predictive analytics. Moreover, the growing demand for personalized user experiences, proactive assistance, and seamless integration across devices and platforms drives investments in mobile artificial intelligence (AI) that enable intelligent automation, contextual awareness, and anticipatory computing. Additionally, the rise of edge computing architectures and federated learning approaches enables distributed AI processing and collaborative learning across networks of mobile devices, enabling privacy-preserving AI applications and real-time insights without reliance on centralized cloud infrastructure. Furthermore, advancements in AI algorithms, deep learning models, and neural network architectures improve mobile AI performance, efficiency, and accuracy, enabling new use cases and applications with demanding computational requirements, such as augmented reality (AR), autonomous driving, and smart robotics. Moreover, the rising emphasis on data privacy, security, and ethical AI principles drives investments in mobile AI solutions that prioritize user control, transparency, and fairness in data collection, processing, and decision-making. Furthermore, regulatory initiatives and industry standards for AI ethics, transparency, and accountability drive responsible AI development practices and foster trust and confidence among users and stakeholders. However, shifts in mobile computing trends and competition from established players may challenge the mobile artificial intelligence (AI) market growth in the coming years.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Mobile Artificial Intelligence (AI). The growth and trends of Mobile Artificial Intelligence (AI) industry provide a holistic approach to this study.
This section of the Mobile Artificial Intelligence (AI) market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
This section covers the regional outlook, which accentuates current and future demand for the Mobile Artificial Intelligence (AI) market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Mobile Artificial Intelligence (AI) market include Safari Tent, Lotus Belle Tents, Feather Down Farms, Eco Structures, Stout Tent, Under Canvas, The Glam Camping Company, Glampotel, Whitepod, Tentsile, Pacific Domes, Luxury Frontiers, Terra Glamping, Glitzcamp, Barebones Living. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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