市场调查报告书
商品编码
1504905
行动人工智慧市场规模、份额、成长分析:按技术节点、按应用、按地区 - 产业预测,2024-2031 年Mobile Artificial Intelligence (AI) Market Size, Share, Growth Analysis, By Technology Node(7 nm, 10nm, 20-28nm, Others), By Application(Smartphones, Cameras, Drones, Automobile), By Region - Industry Forecast 2024-2031 |
2022年行动AI市场规模估值为134亿美元,从2023年的170亿美元成长到2031年的1143.6亿美元,在预测期(2024-2031年)复合年增长率为26.9%,预计还将增长。
人工智慧在世界各地的日益普及和利用是未来行动人工智慧解决方案需求的关键驱动力。人工智慧有望透过实现无需人工干预的自主操作来彻底改变各个领域。行动人工智慧可让您直接在装置上存取人工智慧功能,而无需依赖网路连线。 AI晶片技术的进步正在为行动AI解决方案供应商创造新的机会。人工智慧研究和开发的大量投资预计将进一步推动市场成长。云端运算在增强人工智慧技术方面发挥着至关重要的作用。智慧型设备的激增和中产阶级收入的增加正在推动智慧型手机的普及,并推动行动人工智慧市场的成长。然而,设备相容性和资料安全问题等挑战可能会阻碍未来行动人工智慧解决方案的广泛采用。
Mobile Artificial Intelligence (AI) Market size was valued at USD 13.4 billion in 2022 and is poised to grow from USD 17 billion in 2023 to USD 114.36 billion by 2031, growing at a CAGR of 26.9% in the forecast period (2024-2031).
The increasing global popularity and utilization of artificial intelligence are significant drivers of future demand for mobile AI solutions. AI is poised to revolutionize various sectors by enabling autonomous operations without human intervention. Mobile AI allows access to AI capabilities directly on devices, independent of internet connectivity. Advancements in AI chip technology are creating fresh opportunities for mobile AI solution providers. Substantial investments in AI research and development are expected to further propel market growth. Cloud computing plays a pivotal role in enhancing AI technologies. The proliferation of smart devices and rising middle-class incomes are boosting smartphone adoption, thereby fueling growth in the mobile AI market. However, challenges such as device compatibility and data security concerns could hinder the widespread adoption of mobile AI solutions in the future.
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 Segmental Analysis
The mobile artificial intelligence (AI) market is segmented based on technology node, application, and region. In terms of technology nodes, the market is segmented into 7 nm, 10nm, 20-28nm, and others. Based on application, the market is bifurcated into smartphones, cameras, drones, automobiles, robotics, AR/VR, and others (smart boards, laptops, PCs). Based on region, the market is segmented into North America, Asia Pacific, Europe, Latin America, and Middle East and Africa.
Drivers of the Mobile Artificial Intelligence (AI) Market
The burgeoning global sales of smartphones are set to fuel the expansion of the mobile artificial intelligence (AI) market, with smartphones emerging as the primary drivers of AI technology adoption. The integration of smart camera functionalities and intelligent assistants is particularly contributing to this growth trajectory. As consumer preferences increasingly lean towards smartphones equipped with AI capabilities, the demand for such devices continues to rise, further bolstering market growth. This trend underscores a significant shift towards AI-enhanced mobile experiences, highlighting the pivotal role of smartphones in driving innovation and shaping the future of mobile AI technologies worldwide.
Restraints in the Mobile Artificial Intelligence (AI) Market
Some mobile artificial intelligence (AI) platforms and software face accessibility and compatibility limitations across various mobile devices, necessitating further optimization for broader usability. These issues are anticipated to impede market expansion in the foreseeable future. Overcoming these challenges demands substantial efforts in enhancing the compatibility of AI solutions across diverse mobile platforms, thereby posing a barrier to market growth.
Market Trends of the Mobile Artificial Intelligence (AI) Market
In the evolving landscape of mobile AI, differentiation and gaining a competitive edge hinge on providing tailored products and services. Mobile manufacturers are pushing AI technologies forward, catering to consumer needs with a data-driven approach that drives growth. By leveraging advanced analytics to scrutinize user data, companies can craft personalized AI solutions. This integration enhances their competitive standing by refining offerings precisely to consumer demands. Consequently, embracing personalized AI not only meets current market demands but also propels market expansion. This strategic adoption underscores the pivotal role of customized AI solutions in shaping the future competitiveness of mobile AI providers.