市場調查報告書
商品編碼
1399612
移動人工智慧(AI) 市場規模- 按技術節點(7nm、10nm、20-28nm)、應用(智慧型手機、相機、無人機、汽車、機器人、AR/VR)、成長前景、區域展望與全球預測,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 網路持續部署的推動下,行動人工智慧 (AI) 市場規模預計從 2023 年到 2032 年將以 25.5% 的CAGR擴大。
5G 技術的部署正在徹底改變行動通訊,提供超快的資料速度和低延遲連接。 5G網路更高的資料傳輸速率有利於複雜人工智慧演算法的高效執行,促進智慧型手機和其他行動裝置中人工智慧驅動功能的發展。此外,嵌入先進人工智慧技術的新型智慧型手機的不斷開發可能會推動市場擴張。舉個例子,2023 年 10 月,Alphabet 旗下的Google推出了 Pixel 8 智慧型手機和一款新型穿戴式設備,將其人工智慧技術更深入地融入其消費性產品中。
行動人工智慧產業分為技術節點、應用和區域。
根據技術節點,到2032 年,20-28 奈米細分市場的市場價值預計將獲得顯著成長。這一成長可歸因於這種半導體技術的日益普及,因為它能夠開發更節能、更緊湊的人工智慧晶片對於行動裝置。較小的節點尺寸有助於增強處理能力,同時最大限度地降低功耗,從而提高行動人工智慧應用的效能和能源效率。智慧型手機和其他行動裝置中的語音辨識、影像處理和機器學習等人工智慧驅動功能的日益突出也可能推動對 20-28 奈米技術節點的需求。
根據應用,預計汽車領域的行動人工智慧市場在 2023 年至 2032 年間將出現高需求。連網和自動駕駛汽車的日益普及,對增強車內智慧的行動人工智慧技術的需求激增。此外,ADAS、語音識別和預測性維護等人工智慧功能的日益整合將有助於該細分市場的成長。
從地區來看,預計 2023 年至 2032 年亞太地區行動人工智慧產業將以顯著的CAGR擴張。這一成長得益於技術的快速採用、智慧型手機市場的蓬勃發展以及行動裝置中人工智慧驅動功能的更高整合度。例如,2023 年 11 月,台灣行動晶片設計商聯發科將生成式 AI 功能整合到其下一代智慧型手機晶片組中。此外,5G基礎設施的發展也加速了先進人工智慧功能在行動網路中的部署,從而增強了區域產業前景。
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.