趋势与机会概况系列－新型出行方式

Trend Opportunity Profile Series-New Mobility

出版日期: 2026年02月24日 | 出版商:

Frost & Sullivan | 英文 33 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

智慧交通：从个人设备到自主网络

本系列文章全面概述了全球企业在新时代出行技术发展中采用的最新进展和变革性趋势。这些趋势为出行、供应链和物流、医疗保健、医疗设备和生命科学、航太和国防、能源和环境、资讯和通讯技术 (ICT) 以及商业和金融服务等行业的企业创造了直接机会。

这份《趋势与机会概况》重点介绍了典型案例研究和成长机会，阐述了企业和政府所采取的策略和趋势。这些措施旨在透过建构互联互通、自主便捷的骑乘生态系统，同时降低风险，来加强出行产业的发展。

推动出行领域创新发展的关键趋势包括即时分析、人工智慧 (AI)、机器学习 (ML)、物联网 (IoT)、自动驾驶、扩增实境(AR) 设备、按需出行解决方案、5G 以及环境、社会和管治(ESG) 法规的进步，此外还包括电动车 (EV) 解决方案在全球范围内的普及框架以及自适应和报销框架以及自适应的扩展框架以及自适应的框架以及自适应的扩展框架。本报告还就如何将个人自动驾驶设备、辅助出行、卡车编队行驶、AR 导航、自动共乘网路和车用通讯系统等趋势融入您的业务提供了指导。

This series offers a comprehensive overview of the latest advancements and transformative trends that companies worldwide have embraced to develop technologies for a new era of mobility. These trends create direct opportunities for companies in sectors such as mobility, supply chain & logistics, health, medical devices & life sciences, aerospace & defense, energy & environment, information & communication technology (ICT), and business & financial services.

This trend opportunity profile highlights exemplary case studies and growth opportunities that showcase the strategies and trends adopted by companies and governments. These efforts aim to enhance the mobility industry while mitigating risks and creating a connected, autonomous, and independent rider ecosystem.

Some key trends driving innovations in mobility include advancements in real-time analytics, artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), autonomous driving, augmented reality (AR) devices, on-demand mobility solutions, 5G, and environmental, social, and governance (ESG) regulations, as well as the global growth of electric vehicle (EV) solutions and adaptive insurance and reimbursement frameworks. This report also guides businesses in incorporating trends like personal autonomous devices, assisted mobility, truck platooning, AR navigation, autonomous ride-sharing networks, and automotive telematics.