市场调查报告书
商品编码
1399612
移动人工智慧(AI) 市场规模- 按技术节点(7nm、10nm、20-28nm)、应用(智慧型手机、相机、无人机、汽车、机器人、AR/VR)、成长前景、区域展望与全球预测,2023 年 - 2032Mobile Artificial Intelligence (AI) Market Size - By Technology node (7nm, 10nm, 20-28nm), Application (Smartphones, Cameras, Drones, Automobile, Robotics, AR/VR), Growth Prospects, Regional Outlook & Global Forecast, 2023 - 2032 |
在全球 5G 网路持续部署的推动下,行动人工智慧 (AI) 市场规模预计从 2023 年到 2032 年将以 25.5% 的CAGR扩大。
5G 技术的部署正在彻底改变行动通信,提供超快的资料速度和低延迟连接。 5G网路更高的资料传输速率有利于复杂人工智慧演算法的高效执行,促进智慧型手机和其他行动装置中人工智慧驱动功能的发展。此外,嵌入先进人工智慧技术的新型智慧型手机的不断开发可能会推动市场扩张。举个例子,2023 年 10 月,Alphabet 旗下的Google推出了 Pixel 8 智慧型手机和一款新型穿戴式设备,将其人工智慧技术更深入地融入其消费性产品中。
行动人工智慧产业分为技术节点、应用和区域。
根据技术节点,到2032 年,20-28 奈米细分市场的市场价值预计将获得显着增长。这一增长可归因于这种半导体技术的日益普及,因为它能够开发更节能、更紧凑的人工智慧晶片对于行动装置。较小的节点尺寸有助于增强处理能力,同时最大限度地降低功耗,从而提高行动人工智慧应用的效能和能源效率。智慧型手机和其他行动装置中的语音辨识、影像处理和机器学习等人工智慧驱动功能的日益突出也可能推动对 20-28 奈米技术节点的需求。
根据应用,预计汽车领域的行动人工智慧市场在 2023 年至 2032 年间将出现高需求。连网和自动驾驶汽车的日益普及,对增强车内智慧的行动人工智慧技术的需求激增。此外,ADAS、语音识别和预测性维护等人工智慧功能的日益整合将有助于该细分市场的成长。
从地区来看,预计 2023 年至 2032 年亚太地区行动人工智慧产业将以显着的CAGR扩张。这一增长得益于技术的快速采用、智慧型手机市场的蓬勃发展以及行动装置中人工智慧驱动功能的更高整合度。例如,2023 年 11 月,台湾行动晶片设计商联发科将生成式 AI 功能整合到其下一代智慧型手机晶片组中。此外,5G基础设施的发展也加速了先进人工智慧功能在行动网路中的部署,从而增强了区域产业前景。
Mobile Artificial Intelligence (AI) Market size is projected to expand at 25.5% CAGR from 2023-2032 driven by the ongoing deployment of 5G networks globally.
The deployment of 5G technology is revolutionizing mobile communication for providing ultra-fast data speeds and low-latency connectivity. The higher data transfer rate of 5G networks facilitates the efficient execution of complex AI algorithms, fostering the development of AI-driven features in smartphones and other mobile devices. Furthermore, the continuous development of new smartphones embedded with advanced AI technologies is likely to propel the market expansion. To cite an instance, in October 2023, Alphabet's Google unveiled the Pixel 8 smartphone and a new wearable incorporating its AI technology more deeply into its consumer products.
The mobile AI industry is segmented into technology node, application, and region.
Based on technology node, the market value from the 20-28nm segment is expected to gain significant traction through 2032. The growth can be attributed to the rising adoption of this semiconductor technology as it enables the development of more power-efficient and compact AI chips for mobile devices. Smaller node sizes help to enhance the processing capabilities while minimizing power consumption to offer improved performance and energy efficiency in mobile AI applications. The growing prominence of AI-driven features, such as voice recognition, image processing, and ML in smartphones and other mobile devices may also propel the demand for 20-28nm technology nodes.
As per application, the mobile artificial intelligence market from the automobile segment is anticipated to witness high demand between 2023 and 2032. The growing popularity of connected and autonomous vehicles is surging the demand for mobile AI technologies to enhance in-car intelligence. Additionally, the increasing integration of AI-powered features, such as ADAS, voice recognition, and predictive maintenance will contribute to the segment growth.
Regionally, the Asia Pacific mobile AI industry is estimated to expand at a notable CAGR from 2023-2032. The growth is due to rapid technological adoption, the burgeoning smartphone market, and the higher integration of AI-driven features in mobile devices. For instance, in November 2023, Taiwan-based mobile chip designer MediaTek integrated generative AI capabilities into its next chipsets for smartphones. Moreover, the development of 5G infrastructure is also accelerating the deployment of advanced AI functionalities in mobile networks, thereby augmenting the regional industry outlook.