您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。 [GTI&GSMA]:2026移动人工智能白皮书 - 发现报告

2026移动人工智能白皮书

信息技术 2026-03-02 GTI&GSMA ~ JIAN
报告封面

March 2026 Contents Executive Summary The digital economy has become a primary engine of global economic growth, driven by the rapidevolution of mobile communication technologies and the accelerating advancement of ArtificialIntelligence (AI). As 5G reaches global scale, 5G-Advanced moves towards commercialization and In the Mobile AI era, the ubiquitous connectivity of mobile communication networks becomes theessential foundation for the widespread adoption and democratization of AI. Built on this pervasiveconnectivity, AI is expanding beyond specialized domains to become universally accessible. At the Mobile AI is founded on the principle of bidirectional empowerment between networks and AI,underpinned by the core values of Responsible AI and Security & Trustworthiness. By integratingthe ubiquitous connectivity, low latency, and high reliability of mobile communication networks 1. Infrastructure Enhancement2. Spectrum Assurance3. Technological Innovation The essence of Mobile AI is captured in its "Three-Layer, Four-Dimension" architecture.Vertically, the Foundation Layer, the Execution Layer, and the Application Layer form an end-to-end pathway from infrastructure to scenario-specific value creation. Horizontally, four key Drawing on a global industry perspective, this white paper systematically outlines the value,definition, architecture, implementation pathways, and key challenges of Mobile AI. It providesstrategic recommendations and calls for collaborative actions across the value chain to promote Recommendations and Call to Action Acknowledgements The current large-scale deployment of 5G/5G-A networks and the rapid proliferationof Artificial Intelligence (AI) are propelling mobile communications and AI into a newphase of deep synergy. Within this trend, Mobile AI has emerged. It is not a meresuperposition of the two technologies but is fundamentally based on the core logicof "bidirectional empowerment between networks and AI." By realizing "networks Economic Value:Unlocking Large-Scale Potential Through Convergence1. The Value of Mobile AI The iterative upgrade of mobile communication technology and the pervasive penetration ofAI are converging in a mutually reinforcing trend, establishing themselves as the core enginedriving the development of the global digital economy. On one hand, the large-scale deploymentof 5G networks and the technological evolution of 5G-Advanced (5G-A) provide a solid network The global mobile communication industry has entered a critical stage of 5G scale development.The widespread adoption of 5G technology has established an extensive network foundationfor its convergence with AI. Since the first commercial 5G deployments in 2019, a total of 384 Network Foundation:Scale Network Deployment 4G to become the dominant global mobile communication technology. By 2030, global 5Gconnections are projected to reach 8.8 billion, accounting for over 60% of total global mobile demands, with 29% of global respondents expressing interest in having GenAI applicationsubscription services bundled into their mobile service plans, pointing to new business model 384Commercial 5GBy the end of 2025 billion8.8>Global 5GConnectionsBy 2030 35G SubscribersSurpassingbillion According to Omdia predictions, the world's first 6G networks are expected to commencedeployment and operation in 2029. By 2030, global 6G device connections will reach 289 million,growing to 3.5 billion by 2035, representing 22.3% of total global mobile device connections.Accompanying global RAN infrastructure investment is projected to rise sharply from $40 billion The GSMA Mobile Economy 2025 report indicates that in 2024, global mobile technologies andservices generated $6.5 trillion in economic value added, representing 5.8% of global GDP. Thiscontribution stems from a productivity boost effect exceeding $4 trillion and a direct mobileecosystem contribution of $1.6 trillion, forming a complete value loop when combined with indirecteconomic impacts. Looking forward, with the large-scale adoption and deep integration of digital The industrial application of AI is entering an explosive period. Global AI investment continues toexpand, market space is broadening, and its convergence with mobile communication technology 1.2 Innovation Driver:AI Investment and MarketGrowth Accelerate On the consumer side, the adoption of Generative AI (GenAI) is accelerating significantly.According to Omdia's 2025 global consumer survey data, approximately 75% of respondentsalready use GenAI applications in scenarios such as daily life, work, and social interactions, with38% opting for paid premium versions, both figures showing marked increases from the previous On the enterprise side, the AI market is exhibiting explosive growth. Omdia predicts that by 2030,over 70% of the workload in global data centers will be dedicated to meeting AI-related computingdemands. The GenAI software market is forecast to grow from $14.2 b